201243312 ^ 六、發明說明: .201243312 ^ VI. Description of the invention: .
[發明所屬之技術領域】 本發明係有關將從下水道污水、屎尿、或者產業排水 處理設備等所產生之污泥的發熱量等的分析要素量’特別 是採用近紅外區(near infrared regi〇n, NIR)的光測定污 泥的分析要素量測定方法及污泥之分析要素測定裝置。 【先前技術】 一般,從下水道污水、屎尿、或者產業排水處理設施等 所產生之污泥’係使用帶式擠壓(belt Press)型脫水機、離 心脫水機、或壓濾機(filter Press)等來施以脫水處理而成 為脫水污泥後,將該脫水污泥加以焚化處理(incinerat ion)。 於進行該脫水污泥的焚化處理時,會對焚化時的燃料使用 量有所影響。 向來,以此種污泥的發熱量之測定方法而言,周知有 專利文獻1所記載者。於專利文獻1中,記載有一種朝向 測定對象之污泥個別地照射能分別顯示按照蛋白質、脂肪 成分、纖維質、以及水分的各含有比例之吸收特性之複數〜 種波長的紅外線光(infrared light),並受光經穿透或反 射測定對象污泥之各波長的紅外線光,根據所得各波長的 紅外線光的光量(quantity of 1 ight)以演算測定對象污泥 之有機物含有率及水分含有率,並根據所演算之測定對象 污泥的有機物含有率及水分含有率,以演算測定對象污泥 之發熱量之方法。 [先前技術文獻] 324006 4 201243312 [專利文獻] 號公報 [專利文獻1]日本發明專料3525〇13 【發明内容】 [發明所欲解決之課題] 方法然^二,文獻1中所記載之污泥的發熱量之測定 方法,係個別地照射能分別顯示按照蛋白質、脂肪成八 纖維質、以及水分的胃祕成分、 的紅外線朵廿4各3有比例之吸收特性之複數種波長 轨量者。因此、,^有機物含有率及水分含有率以演算發 i方法,=出=種在來技術之污泥的發熱量之測 過程成為間接性且複雜,故存在演算效 率不佳、測定精確度低等問題。 、^ 本發明仍係鏗於上述問題所開發者,其目的在於提供 =作成能直接測定測定對象的污泥之發熱量等的分析要 素置’以提升演算效率’並能提升収精確度之污泥之分 析要素量敎方岐污泥之分析要素量測定裝置。 [用於解決課題之手段] 為解決上述課題,以達成目的起見,有關本發明之污 泥之分析要素量収方法,係受光來自測定對象的污泥之反 射光或透射光,以測定對近紅外區的波長之吸光度,並根 據前述吸光度的測定值測定關於污泥之高發熱值(higher calorific vaiue)、低發熱值(1〇wer cal〇rific value)、 水份量、灰份量、硫份量、氫量、以及碳份量之中的至少 一種分析要素量之污泥之分析要素量測定方法,其特徵為: 預先對進行測定之分析要素量為既知之樣本污泥照射近紅 324006 5 201243312 外線’藉由來自前述樣本污泥之反射光或透射光的吸光度 之二次微分光譜(quadratic differential spectrum)的複 回歸分析(multiple regression analysis)而算出有關直 接起因於進行前述測定之分析要素量之歸屬波長之回歸式 (regression formula),並對測定對象之污泥照射近紅外 線’受光來自測定對象之污泥的反射光或透射光,且測定 所受光之光的吸光度(absorbance),再從前述吸光度與前 述回歸式算出對該測定對象的污泥之測定所進行之分析要 素量。 如採用有關本發明之污泥之分析要素量測定方法,則 可找出直接歸屬於(directly reverted to)污泥之高發熱 值、低發熱值、水份量、灰份量、硫份量、氫量、以及碳 份量之中的至少一種分析要素量之近紅外線的波長區域, 藉由使用所找出之波長區域以測定分析要素量,則可直接 測定測定對象的污泥的發熱量等的分析要素量,結果可提 升演算效率’並提升測定精確度。又,以高發熱值及低發 熱值而言,若能獲知水份量、灰份量、硫份量、氫量、碳 份量的值,則能藉由計算而算出,並可利用各分析要素量 加以驗算,故可提升測定精確度。結果,採用測定數據以 掌握污泥之狀態’並可進行當脫水污泥的焚化時所使用之 燃料量的控制。又’相對於僅靠回授控制(feed-back c 0 n t r 〇 1)加以控制脫水污泥的飼給爐内之污泥總發熱量的 變化與爐燃料使用量的關係之作法,由於可事前掌握飼給 爐内之總發熱量’故亦可進行前授控制(f eed_f〇rwar(j 324006 6 201243312 control) ° 有關本發明之污泥之分析要素測定方法,係於上述 發明中,其特徵為:將前述回歸式,由以互相具有相關^ 係(corre 1 at i on)之第1波長至第η波長的吸光度作為變 之(1)式 [數1][Technical Fields of the Invention] The present invention relates to an amount of analysis elements such as calorific value of sludge generated from sewage, urine, or industrial drainage treatment equipment, etc., particularly in the near infrared region (near infrared regi〇n) , NIR) Light measurement sludge analysis factor measurement method and sludge analysis factor measurement device. [Prior Art] Generally, sludge produced from sewage, helium, or industrial drainage facilities uses a belt press type dewatering machine, a centrifugal dewatering machine, or a filter press. After dehydration treatment to form dewatered sludge, the dewatered sludge is incinerated. When the incineration treatment of the dewatered sludge is carried out, the amount of fuel used during incineration is affected. In the method of measuring the calorific value of such a sludge, it is known that it is described in Patent Document 1. Patent Document 1 discloses that a plurality of wavelengths of infrared light (infrared light) can be individually applied to the sludge to be measured, and the absorption characteristics of each of the protein, fat component, cellulosic, and water content ratios are displayed. And receiving, by the light, the infrared light of each wavelength of the measurement target sludge, and calculating the organic matter content and the water content rate of the measurement target sludge based on the amount of infrared light of each wavelength of the obtained wavelength (quantity of 1 ight). The method of calculating the calorific value of the target sludge is calculated based on the calculated organic matter content and the water content rate of the sludge to be measured. [Prior Art Document] 324006 4 201243312 [Patent Document] No. [Patent Document 1] Japanese Invention Patent No. 3525〇13 [Summary of the Invention] [Problems to be Solved by the Invention] The method is the same as that described in Document 1. The measurement method of the calorific value of the mud is a plurality of wavelengths which are respectively capable of displaying the absorption characteristics of the infrared ray enthalpy 4 each having a ratio of protein, fat, octacellulose, and water. . Therefore, the organic matter content and the water content rate are calculated by the calculation method, and the measurement process of the sludge of the technology is indirect and complicated, so the calculation efficiency is poor and the measurement accuracy is low. And other issues. In addition, the present invention has been made in view of the above problems, and it is an object of the present invention to provide an analysis element capable of directly measuring the calorific value of the sludge to be measured, to improve the calculation efficiency and to improve the accuracy of the collection. Analytical element of the amount of the analysis of the mud. [Means for Solving the Problem] In order to achieve the above-mentioned problem, the method for measuring the amount of the analysis component of the sludge according to the present invention is to receive the reflected light or the transmitted light from the sludge to be measured, to measure the pair. The absorbance of the wavelength in the near-infrared region, and the high calorific vaiue, the low calorific value, the moisture amount, the ash amount, and the sulfur amount are determined according to the measured values of the absorbance. The method for measuring the amount of the analysis component of the sludge of at least one of the amount of the hydrogen component and the amount of the carbon component is characterized in that the amount of the analysis component to be measured is a known sample sludge irradiation near red 320006 5 201243312 'Based on the multiple regression analysis of the quadratic differential spectrum of the absorbance of the sample sludge or the absorbance of the transmitted light, the attribution of the analytical element amount directly caused by the aforementioned measurement is calculated. The regression formula of the wavelength, and the near-infrared light of the measured object is irradiated with light. The objects of the sludge was measured reflected or transmitted light, and measuring the absorbance (Absorbance) suffered light of light, and then calculates the amount of elements of the analysis of the sludge was measured for the object being measured from the front of the absorbance of said regression formula. If the method for determining the amount of the analytical element of the sludge of the present invention is used, it is possible to find a high calorific value, a low calorific value, a moisture amount, an ash amount, a sulfur amount, a hydrogen amount, and a direct amount of the sludge directly reverted to the sludge. In the wavelength region of the near-infrared ray of at least one of the components, the amount of the analysis element such as the calorific value of the sludge to be measured can be directly measured by using the wavelength region to be determined to measure the amount of the analysis component. The result can improve the efficiency of the calculation and improve the accuracy of the measurement. Further, in the case of a high calorific value and a low calorific value, if the values of the amount of water, the amount of ash, the amount of sulfur, the amount of hydrogen, and the amount of carbon are known, they can be calculated by calculation, and the amount of each analysis element can be used for checking. Therefore, the measurement accuracy can be improved. As a result, the measurement data is used to grasp the state of the sludge, and the control of the amount of fuel used when the dewatered sludge is incinerated can be performed. In addition, the relationship between the change in the total calorific value of the sludge in the feed furnace and the amount of fuel used in the furnace for controlling the dewatered sludge by the feedback-back control (feed-back c 0 ntr 〇1) is It is also possible to perform pre-administration control (f eed_f〇rwar(j 324006 6 201243312 control) ° The method for measuring the analysis elements of the sludge according to the present invention is characterized by the above invention, and its characteristics are Therefore, the regression equation is defined by the absorbance of the first wavelength to the η wavelength which have correlations (corre 1 at i on) with each other (1) [1]
C-KQ+KX d2A(\) άλ2 + Κ2 d2A(X2) { άλ2 /=1 d2A(^) άλ2 + κ ^2Α(λη) η~~ άλ2 ⑴ (C :分析要素量(高發熱值、低發熱值的單位為八焦 耳)/g、水份量的單位為重量%-WB(濕基)、灰份量、硫份量'、 氫量、以及碳份量的單位為重量%-DB(乾基)),λ :波長, Α( λ η):第η波長;I η的吸光度(η :自然數),κ。、Κι、Κ2、...、 Κη :採用於母集團(population)中所測定之吸光度及實測 分析要素量並由最小二次方法(least square method)所決 定之係數(K◦中亦包含因脫水污泥之温度所弓丨起之測定值 變動(measured value drift)))所構成’於前述(1)式中, 當選擇第1波長λι至第η波長λη時’依序進行:選擇歸 屬於藉由因複數種污泥的被驗體的化學分析所既知之分析 要素量值與前述各被驗體的吸光度的複回歸分析而求得之 前述複數種污泥的分析要素量且相關係數(C〇efficient of correlation)的絕對值成為0.7以上之第1波長又,的 近紅外線的波長區域,並藉由該第1波長Λ ,的近紅外線的 324006 7 201243312 波長區域、與ll〇〇nm以上2200nm以下的波長區域的複回 歸分析,選擇歸屬於前述複數種污泥的分析要素量並成為 前述第1波長λ i的近紅外線的波長區域的相關係數以上 的相關係數之第2波長λ 2的近紅外線的波長區域,且藉由 則述第1波長λ !及第2波長又2的近紅外線的波長區域、 與1 lOOnm以上2200nm以下的波長區域的複回歸分析,選 擇歸屬於前述複數種污泥的分析要素量並成為前述第丨波 長λ 1的近紅外線的波長區域的相關係數以上的相關係數 之第3波長λ3的近紅外線的波長區域之過程,並藉由前述 第1波長λ !至第(η-1)波長;I Η的近紅外線的波長區域、 與1 lOOnm以上2200nm以下的波長區域的複回歸分析,選 擇歸屬於前述複數種污泥的分析要素量並成為前述第1波 長λ 1的近紅外線的波長區域的相關係數以上的相關係數 之第η波長λ η的近紅外線的波長區域。 本發明係藉由已判明依化學分析之分析要素量之多數 的分析要素量與既知的試樣污泥的複回歸分析,而首先求 出相關係數高的第1波長,接著,從相關係數高的第2波 長求出第η波長。各波長則藉由試料的吸光度與依化學分 析之既知的分析要素量所進行之複回歸分析,而於相關係 數的絕對值例如顯示〇. 7以上之區域加以決定。此等波長 區域’即使作為單一波長使用時,如將分析要素量的標準 誤差範圍設定為較廣時,可推測為仍能進行分析要素量之 測定。然而,藉由求出相關係數高的第2波長至第η波長, 則可提升精確度。亦即,於本發明中,係能將污泥的高發 324006 8 201243312 熱值、低發熱值、水份量、灰份量、硫份量、氫量、以及 碳分量等的分析要素量,於近紅外線的llOOnm以上2200nm 以下的波長區域直接加以算出。此種算出方法之概念,係 與在來之根據污泥的有機物含有率及水份含有率以演算發 熱量之作法有所不同。 有關本發明之污泥之分析要素量測量方法’係於上述 之發明中,其特徵為:於進行測定之分析要素量為高發熱 值之情形,從 1200 至 1222nm、1376 至 1390nm、1418 至 1498nm、1612 至 1696nm、1744 至 1752nm、1762 至 1776nm、 1806 至 1810nm、1826 至 1868nm、或 1894 至 1910nm 的波 長範圍選擇第1波長;^,從2158至2164nm的波長範圍選 擇第 2 波長 λ 2,從 1370 至 1392nm、1416 至 1490nm、 1538nm、1578 至 1580nm、1616 至 1618nm、1624nm、1658 至 1668nm、1746nm、1766 至 1780nm,或 1824 至 1914nm 的波長範圍選擇第3波長λ3,從1324至1326nm,或1502 至1516nm的波長範圍選擇第4波長;U,且使第1波長λ, 至第4波長λ 4的組合的相關係數成為〇. 9以上。在此情 形,如從1750nm±2nm的波長範圍選擇第1波長又,、從 2160nm±2nm的波長範圍選擇第2波長λ2、從1390 nm±2nm 的波長範圍選擇第3波長久3、從1510nm±2nm的波長範圍 選擇第4波長λ4較為有效。 有關本發明之污泥之分析要素量測定方法,係於上述 之發明中,其特徵為:於進行測定之分析要素量為低發熱 值之情形’從 1202 至 1226nm、1234 至 1248nm,或 1650 324006 9 201243312 至1678nm的波長範圍選擇第1波長λι,從16〇2至i636nm, 或1718至1736nm的波長範圍選擇第2波長;U,從1808 至1834nm ’或1994至2008nm的波長範圍選擇第3波長λ 3 ’從1330至1386nm ’或2058至2066nm的波長範圍選擇 第4波長λ 4,且使第1波長λ 1至第4波長λ 4的組合的相 關係數成為〇· 9以上。在此情形,從I668nm±2nm的波長範 圍選擇第1波長λ 1,從1726nm±2nm的波長範圍選擇第2 波長λζ,從2002nm±2nm的波長範圍選擇第3波長λ3,從 2062nm±2nm的波長範圍選擇第4波長;U較為有效。 有關本發明之污泥之分析要素量測定方法,係於上述 之發明中,其特徵為:於進行測定之分析要素量為水份量 之情形,從1718至1732nm,或2002至2044nm的波長範 圍選擇第1波長λι,從1558至1600nm,1624至1696nm, 或2060至2068nm的波長範圍選擇第2波長λ2,從1720 至1736nm,或2120至2160nm的波長範圍選擇第3波長 λ3,從1290至1302nm,或1394至1408nm的波長範圍選 擇第4波長;U,且使第1波長λ !至第4波長;U的組合的 相關係數成為0. 9以上。在此情形,從2014nm±2nm的波長 範圍選擇第1波長又1,從2064nm±2nm的波長範圍選擇第 2波長又2,從1730nm±2nm的波長範圍選擇第3波長;13, 從1396nm±2nm的波長範圍選擇第4波長;U較為有效。 有關本發明之污泥之分析要素量測定方法,係於上述 之發明中,其特徵為:於進行測定之分析要素量為氫量之 情形,從 1140 至 1144nm、1190 至 1226nm、1236 至 1258nm、 324006 10 201243312 1302 至 1336nm、1366 至 1390nm、1414 至 1502nm、1610 至 1696nm、1744 至 1752nm、1760 至 1778nm、1806 至 1868nm,或1892至1910nm的波長範圍選擇第1波長λ i, 從1746至1752nm,或2160至2164nm的波長範圍選擇第2 波長 λ2,從 1306 至 1334nm、1344 至 1390nm、1404 至 1496nm、1552 至 1630nm、1654 至 1668mn、1746nm、1764 至 1784nm、1822 至 1868nm,或 1886 至 1914nm 的波長範 圍選擇第3波長又3 ’從1984至1994nm的波長範圍選擇第 4波長又4 ’且使第1波長入i至第4波長λ 4的組合的相關 係數成為0. 9以上。在此情形,從i748nm±2nm的波長範圍 選擇第1波長λ 1 ’從2162nm±2nm的波長範圍選擇第2波 長h,從1388nm±2nm的波長範圍選擇第3波長λ3,從 1988nm±2nm的波長範圍選擇第4波長λ4較為有效。 有關本發明之污泥之分析要素量測定方法,係於上述 之發明中,其特徵為:從於測定對象的污泥之測定時的溫 度之刀析要素里進行溫度校正(c〇rrecti〇n)以算出預先所 設定之基準溫度之時的分析要素量。在此情形,較 據(2)式 [數2] C0 =a + b(T-TQ) + Ct......(2) (τ ·測定對象的污泥之測定時的溫度,τ“預先所設 定之基準溫度,Ct、C。:所屬之溫度之分析要素量(高發: 值、低發熱值的單位為;/g,水份量的單位為重量請、 324006 11 201243312 灰份量、硫份量、氫量、以及碳份量的單位為重量%_DB), a、b .溫度與測定值之最小二次方法的解答)進行前述溫度 校正。 具體而言,即使有例如,一日内之溫度變化或每改變 季郎時之/m度憂化等的溫度變化,惟其所測定之變化量卻 比較少。然而,由於算出有基準溫度下之分析要素量,故 可穩定地掌握污泥之狀態,結果將能進行例如脫水污泥的 焚化時所使用之燃料量之控制。 該測定對象的污 有關本發明之污泥之分析要素量測定裝置,係受光來 自’貝〗疋對象的污泥之反射光或透射光,以測定對近紅外區 $波長之吸光度,並根據前述吸光度的測定值測定污泥之 问發熱值、低發熱值、水份量、灰份量、硫份量、氮量、 ^碳份量巾的至少—種分析要素量之污泥之分析要素量 、,裝置,其特徵為具帛;保持測定對象的污泥之污泥保 ^卩對刖述污泥保持部所保持之測定對象的污泥照射近 ^卜區的光之照光部、受光來自前述污泥之反射光或透射 置2光部、以及根據前述受光部所受光之光的吸光度以 务料〜尼之分析要素量之控制部’而前述控制部具備;預 子進行敎之分析要素量為㈣之標準污親射近紅外 “並記憶藉由相對於由從前述樣本污泥所反射或透射之 ,紅外線區的波長之吸光度之二次微分光譜的複回歸 所算出並有關直接起因於進行該測定之分析要素量之 ^攻長之回歸式之回歸式記憶功能、及從前述受光部所 又圮之光的吸光度與前述回歸式演算有關 324006 12 201243312 泥之測定之分析要素量之分析要素量演算功能。 如採用有關本發明之污泥之分析要素量測定裝置,則 可找出直接歸屬於污泥之高發熱值、低發熱值、水份量、 灰份量、硫份量、氫量、以及碳份量中的至少一種分析要 素量之近紅外線的波長區域,並由於採用其波長區域以測 定分析要素量,故將可直接測定測定對象的污泥的發熱量 等分析要素量’結果可提升演算效率,亦可提升測定精確 度。 有關本發明之污泥之分析要素量測定裝置,係於上述 之發明中,其特徵為:前述控制部之回歸式記憶功能所記 憶之回歸式與所選擇之近紅外線的波長的組合係構成為: 將前述回歸式,由以互相具有相關關係之第1波長之第η 波長的吸光度作為變數之(1)式 [數3] C = KQ + KX + K2 d 雄2) άλ2 c/2A(Z,.) άλ2 άλ2..⑴ + Κ. d2A{Xn) άλ2 (C :分析要素量(高發熱值、低發熱值的單位為J/g, 水份量的單位為重量%-WB,灰份量、硫份量、氫量、以及 碳份量的單位為重量%-DB),又:波長,Α( :第η波長 入[1的吸光度(11:自然數),1(。、1(1、1(2.....Κη :採用母集 團中所測定之吸光度及實測分析要素量並由最小二次方法 所決定之係數(Κ。中亦含有因脫水污泥之溫度所引起之測 324006 13 201243312 定值變動)所構成,於前述⑴式中,當第i波長λι 至第η波長;U時依序進行:選擇歸屬於藉由因複數 泥的被驗體的化學分析所既知的分析要素量值與前述各被 驗體的吸光度㈣m衫析而求得之魏錢種污泥的分 析要素量且相關係數的絕對值成為07以上之第i波長入 的近紅外線的波長區域,並藉由該第1波長λι的近紅外線 的波長區域、與iioonm以上2200nm以下的波長區域的複 回^分析,選擇歸屬於前述複數種污泥的分析要素量並成 為前述第1波長λ’近紅外線的波長區域的相關係數以 上的相關係數之第2波長λ2的近紅外線的波長區域且藉 由前述第1波長h及帛2波長λ 2的近紅外線的波長區域、 與llOOmn以上2200nm以下的波長區域的複回歸分析,選 擇歸屬於前述複數料泥的分析要素量並絲前述第(波 長λ !的近紅外線的波長區域的相關係數以上的相關係數 之第3波長Λ 3的近紅外線的波長區域之過程,並藉由前述 第1波長又,至第(η_1)波長λ n-l的近紅外線的波長區域、 與llOOrnn以上2200mn以下的波長區域的複回歸分析,選 擇歸屬於前述複數種污泥的分析要素量並成為前述第i波 長λ !的近紅外線的波長區域的相關係數以上的相關係數 之第Π波長λ „的近紅外線的波長區域。 有關本發明之污泥之分析要素量測定裝置,係於上述 之發明中,其特徵為:控制部之回歸式記憶功能所記憶之 回歸式與所選擇之近紅外線的波長的組合,在進行測定之 分析要素量之高發熱值之情形,從1200至I222nm、1376 324006 14 201243312 至 1390nm、1418 至 1498nm、1612 至 1696nm、1744 至 1752nm、1762 至 1776nm、1806 至 1810nm、1826 至 1868nm, 或1894至191 Onm的波長範圍選擇第1波長又,,從2158 至2164nm的波長範圍選擇第2波長h,從1370至1392nm、 1416 至 1490nm、1538nm、1578 至 1580nm、1616 至 1618nm、 1624nm、1658 至 1668nm、1746nm、1766 至 1780nm,或 1824 至191411111的波長範圍選擇第3波長又3,從1324至132611111, 或1502至1516nm的波長範圍選擇第4波長;U,且使第1 波長;I!至第4波長;U的組合的相關係數成為〇.9以上。 在此情形’控制部之回歸式記憶功能所記憶之回歸式與所 選擇之近紅外線的波長的組合,較佳係構成為從1750nm士 2nm的波長範圍選擇第1波長λ !,從216〇nm±2nm的波長 範圍選擇第2波長;U,從I390nm±2nm的波長範圍選擇第 3波長λ3 ’從i5i〇nm 土 2nm的波長範圍選擇第4波長入4。 有關本發明之污泥之分析要素量測定裝置,係於上述 之發明中’其特徵為:控制部之回歸式記憶功能所記憶之 回歸式與所選擇之近紅外線的波長的組合,在進行測定之 分析要素量為低發熱值之情形,從1202至1226nm、1234 至1248nm,或1650至I678nm的波長範圍選擇第1波長λ 1 ’從1602至1636nm,或1718至1736nm的波長範圍選擇 第2波長;u ’從18〇8至1834nm,或1994至2〇〇8mn的波 長範圍選擇第3波長;13,從1330至1386nm,或205«至 2〇66nm的波長範圍選擇第4波長;U,且使第1波長;1,至 第4波長λ 4的組合的相關係數成為0. 9以上。在此情形, 324006 15 201243312 控制部之回歸式記憶功能所記憶之回歸式與所選擇之近紅 外線的波長的組合,較佳係構成為從l668nm±2nm的波長範 圍選擇第1波長λι,從I726nm±2nm的波長範圍選擇第2 波長λ2 ’從2002nm±2nm的波長範圍選擇第3波長λ3,從 2062nm±2nm的波長範圍選擇第4波長入4。 有關本發明之污泥之分析要素量測定裝置,係於上述 之發明中,其特徵為:控制部之回歸式記憶功能所記憶之 回歸式與所選擇之近紅外線的波長的組合,在進行測定之 分析要素量為水份量之情形,從1718至1732nm,或2〇〇2 至2044nm的波長範圍選擇第1波長λ ι,從1558至i6〇〇nm、 1624至1696nm,或2060至2068nm的波長範圍選擇第2 波長λ2 ’從1720至I736nm,或2120至2160nm的波長範 圍選擇第3波長;^,從129〇至13〇2nm,或1394至14〇8抓 的波長範圍選擇第4波長h,且使第1波長λ !至第4波 長λ 4的組合的相關係數成為0· 9以上。在此情形,控制部 之回歸式L力能所記憶之回料與所_之近紅外線的 波長的.、且σ較佳係構成為從2〇 14nm±2nm的波長範圍選擇 第1波長;U,從2064nra±2nm的波長範圍選擇第2波長又2, 從1730nm±2nm的波長範圍選擇第3波長λ3,從1396⑽土 2nm的波長範圍選擇第4波長入4。 有關本發明之污泥之分析要素量測定裝置,係於上述 之發明中,其特徵為:.控制部之回歸式記憶功能所記憶之 回歸式與闕敎近紅外、_波長的組合,在進行測定之 分析要素量為氫量之情形,從114〇至U44nm、119〇至 324006 16 201243312 - 1226nm、1236 至 1258nm、1302 至 1336nm、1366 至 1390nm、 1414 至 1502nm、1610 至 1696nm、1744 至 1752nm、1760 至 1778nm、1806 至 1868nm,或 1892 至 1910nm 的波長範 圍選擇第1波長λ 1,從1746至1752nm,或2160至2164nm 的波長範圍選擇第2波長λ2,從1306至1334nm、1344至 1390nm、1404 至 1496nm、1552 至 1630nm、1654 至 1668nm、 1746nm、1764 至 1784nm、1822 至 1868nm,或 1886 至 1914nm 的波長範圍選擇第3波長A·3’從1984至19 94nm的波長範 圍選擇第4波長;14,且使第1波長又,至第4波長;u的組 合的相關係數成為0. 9以上。在此情形,控制部之回歸式 記憶功能所記憶之回歸式與所選擇之近紅外線的波長的組 合’較佳係構成為從1748nm±2nm的波長範圍選擇第1波長 h’從2162mn±2mn的波長範圍選擇第2波長“,從1388咖 ±2nm的波長範圍選擇第3波長λ3 ’從1988nm±2nm的波長 範圍選擇第4波長λ4。 有關本發明之污泥之分析要素量測定農置,係於上述 之發明中,其特徵為:控制部之回歸式記憶功能所記憶之 回歸式與所之近紅外線的波長的組合,倾成為從於 測找㈣污泥之測定時的溫度之分析要素量進行溫度校 正以异出預先所狀之基準溫度之時的分析要素量。 情形’控制部之回歸式記憶功能所記憶之回歸式與所 之近紅外線的波長的組合,係較佳係構成為根據⑵式 324006 17 201243312 [數4] C0=a + b(T-TQ) + Ct……(2) (T :測定對象的污泥之測定時的溫度,T。:預先所設 定之基準溫度,Ct、C。:所屬之溫度之分析要素量(高發熱 值、低發熱值的單位為J/g,水份量的單位為重量%-WB、 灰份量、硫份量、氫量、以及碳份量的單位為重量%-DB), a、b :溫度與測定值之最小二次方法的解答)以進行前述溫 度校正。 藉此,即使有一日内之溫度變化或每改變季節時之溫 度變化等的溫度變化,其所測定之變化量雖然比較少,惟 由於將算出基準溫度之分析要素量,故可穩定地掌握污泥 之狀態,結果將能進行例如脫水污泥的焚化時所使用之燃 料量之控制。 有關本發明之污泥之分析要素量測定裝置,係於上述 之發明中,其特徵為:具備有複數個前述受光部,而前述 控制部係根據來自前述複數個受光部之光的吸光度算出污 泥之分析要素量。藉此,可藉由複數個吸光度數據的平均 值而算出分析要素量,並可更進一步提升測定精確度。 有關本發明之污泥之分析要素量測定裝置,係於上述 之發明中,其特徵為:前述污染保持部係以使污泥對前述 照光部連續性移動並予以保持之方式所構成。藉此,可以 實時(real-time)之方式就連續移動之污泥算出分析要素 量,故與逐次取出試樣並測定之分批式(batch type)相較 324006 18 201243312 = 並可確實掌握所播運之污泥的狀態,而 量的控制二進订例如脫水污泥的焚化時所使用之燃料 :此:形’需要時,前述污泥保持部係由構成為可運 心所成’ „述管體具有能透射光線之窗孔 (wmdow) ’且别述窗孔具有前述照光部及前述受光部。由 於經以管體構成前述污泥保持部,故即使對污泥產生因運 运的f力仍然不致於妨害運送,而可介由窗孔從移動之污 )取付數據。X,於此種構成下,前述窗孔係由選自由石 英、藍寶石玻璃、以及鑽石所成組群之至少】種材料所構 成者則較為有效。藉此’可提升窗孔的耐壓特性,並且光 的透射性優異’可以高效率方式進魏據之取得。 ^另一方面,需要時,前述污泥保持部係由構成為能運 ^泥之帶運機(belt c〇nvey〇r)所成亦很合適。由於經以 ^運機構成污泥保持部之故’可以簡單化污泥保持部之構 之路^本發明之污泥之分析要素量測定裂置,係於上述 驶月中,其特徵為:前述控制部具有根據污泥之 度而算出污泥的運送量之功能。藉此’可送气 泥之總分析要素量值,例如,可算出在運轉焚』= 要的飼給爐内之污泥總發熱量。 Μ爐時所需 [發明之效果]. 如採用本發明’則可找出直接歸屬於有關污泥之高 …值、低發熱值、水份量、灰份量、硫份量、氫量、以及 324006 201243312 碳份量中之至少1種分析要素量之近紅外線的波長區域, 並由於採用其波長區域以測定分析要素量,故可以直接方 式測定測定對象的污染的發熱量等的分析要素量,並可提 升演算效率,並提升測定精確度。 【實施方式】 以下,就本發明之一實施形態,在參照圖式之下加以 說明。在此,於下述之一實施形態的全部圖式中,對同一 或所對應之部分,附與同一符號。又,本發明並不因下述 所說明之一實施形態而有所限定。又,於此一實施形態中, 由於本污泥之分析要素量測定方法,係藉由本污泥之分析 要素量測定裝置所實現,故將於本污泥之分析要素量測定 裝置的作用中加以說明。 有關此一實施形態之污泥之分析要素量測定裝置,係 為從下水道污水、屎尿或產業排水處埋設施等所產生之污 泥之處理系統所使用者。於此處理系統中,污染係使用帶 式擠壓型脫水機、離心脫水機、或壓濾機等來施以脫水處 理而作為脫水污泥生成後,該脫水污泥,則例如於焚化爐 中加以焚化處理。採用此一實施形態之污泥之分析要素量 測定裝置,係接受來自經由運送管運送到焚化爐之測定對 象之污泥(脫水污泥)之反射光或透射光,並測定對近紅外 區域的波長之吸光度’且根據該測定值以測定污泥的尚發 熱值、低發熱值、水份量、灰份量、硫份量、&量、以及 碳份量中之至少1種分析要素量。 第1圖,係表示採用該一實施形態之污泥的分析要素 324006 20 201243312 量測定裝置之構成圖,第2 A圖’係分析要素量測定裝置之 污泥保持部之正面圖,第2B圖,係污泥保持部之側面剖面 圖。 如第1圖、第2A圖、以及第2B圖所示,採用該一實 施形態之分析要素量測定裝置,具備有:污泥保持部i、 照光部2、受光部3、以及控制部2〇。污泥保持部1,保持 測定對象的污泥。照光部2’將近紅外區之光照射到污泥 保持部1所保持之測定對象的污泥。受光部3係受光來自 污泥之反射光或透射光。控制部20,則根據受光部3所受 光之光的吸光度,以算出污泥之分析要素量。 如第2A圖及第2B圖所示’污泥保持部1,係裝設在 污泥的運送管的途中,且由運送污泥之管體4所構成,並 使污泥對照光部2連續性地移動以保持。於此管體4中, 設置有能透射光之窗孔5。於此管體4中,即使對污泥產 生為運送之用的壓力,仍然不致於妨礙其運送之下,可從 移動中之污泥經由窗孔5而取得數據。又,窗孔5係由石 英、藍寶石玻璃、以及鑽石所構成之組群中所選擇的材料 所形成,耐壓性良好、光的透射性優異,並能進行數據之 取得。又,壓塊(press bl〇ck)6係密封窗孔5的周圍。 於窗孔5,㈣有照光部2及受光部3。照光部2及受 光部3係由傳送白色光之光纖(Qptical fibre)7、8的端 部所構成,而由照受光探針Uight sean±ing and reception prQbe)1〇所保持。受光部3係例如在以照光部 2作為中心之同心圓狀以等角度的關係設置有複數個。各 324006 21 201243312 二?被捆紮之下到達纖維結合部U。照受光探針 於設置在壓塊6之安裝部12。又,以遮光而覆 蓋(C〇ver)13。 *裝傳以及壓塊6之方式設置有対 合二至,係從纖維結 電繞16加以控制之㈣部2()介由控制 ^ , 制之、',〇果而適時地射出光線。受光叫q 的光纖8,係從纖維結合部u分岔而並 ^ ㈣電_而連接於 〇内的信號處理之電路。溫度感測器 ::部 4’以計測污泥之溫度。又,顯示部21係連接‘ 以進行各種顯示。 ㈣控制。p 2〇, :::控:部20,連接有攝像部22及通信部 邛22,係以攝影污泥保持部卜昭 攝 等進行敎之部分的先探4 1G、封蓋13 常之方式所構成:進行機器的監視且確認有無異 狀態於控:/°之通信部23的連.接 網路(一)等二部23係例如經由,際 至,終端機=。:與:2:之由複:個終% 逸“… w °系通仏部23,由於以遠端方今 =控制部20的控制,故除接受來自終端機之控制2 並傳送來自控制部2〇之數據。 。歲, ^㈣部20具備有回歸式記憶魏與分析要 1此。回歸式記憶功能係預先對進行測定之分析要嚷 324006 ^ ^ 4 22 201243312 為既知的試樣污泥照射近紅外 由該樣本污泥所反射之光,嘎 R)’並記憶藉由相對於 線區的波長之吸光度之二 ^樣本污泥之光的迷紅外 並有關直接_進㈣㈣之;的複輯分折所算出 回歸式。分析要辛詈首莖^ 析要素量之歸屬波長之 =與回歸式演算有關該測定對象的污泥的測定= 、里在此,控制部20的分析要素量演算功能係根 ΐ複數個受光部之光的吸光度,以算出污泥的分折要素 ^例如,由於可利用複數個吸光度數據的乎均值以算出 y刀析要素量,故可進一步提升測定精確度。 又王體的"is號處理,係以下述方式進行。亦即,葬 由各個又光部3而檢測擴散反射光,並藉由受光部g的光 纖8而送往分光部17。於此分光部Π,除將光線分光於各 波長區域’並按照其光線的強度而轉換為電信號後抽出。 然後,分光部17所轉換之電信號,則經由控制電纜18而 供給於控制部2〇内的電路,控制部2〇即進行既定之處理。 其次’就控制部20的回歸式記憶功能所記憶之回歸式 之设定加以說明。亦即,回歸式係於污泥之高發熱值、低 發熱值、水份量、灰份量、硫份量、氫量、以及碳份量之 为析要素置之中之進行測定之分析要素量中加以設定。回 歸式’係預先對有關測定之分析要素量為既知之樣本污泥 照射近紅外線,並受光來自該樣本污泥之反射光或透射光, 藉由於所受光之°及光度下之二次微分光譜的複回歸分析而 作為直接起因於有關該測定之分析要素量之有關歸屬波長 324006 23 201243312 之式加以算出。 詳言之’將回歸式,由以互相具有高相關係數之第1 波長至第η波長的吸光度作為變數之(1)式加以構成。 [數5] c-K0+Kl^m+Ki^i+…… cU2 /=ι αλ άλ2(1) 又’ C為分析要素量(高發熱值、低發熱值的單位為 J/g,水份量的單位為重量%_WB、灰份量、硫份量、氫量、 以及碳份量的單位為重量%_DB,又為波長,A(;u)為第n 波長又》的吸光度(n :自然數),κ。Κι、K2、…、Kn係採用 母集團中所測定之吸光度及實測分析要素量並由最小二次 方法所決定之係數,κ◦中亦含有因脫水污泥之溫度所引起 之測定值變動。 於(1)式中,當選擇第1波長;^至第η波長。時,首 先選擇歸屬於藉由因複數種且多種污泥的被驗體的化學 分析所既知之分析要素量值與該各被驗體的吸光度的複回 歸分析所求得之乡赌關分析要素#且相關係數的絕對 Τ成為0.7以上之第1波長λι的近紅外線的波長區域其 次,藉由該第1波長又,的近紅外線的波長區域、與丨1〇〇 至220〇ηιη的波長區域的複回歸分析,選擇歸屬於多種污泥 的分析要素量並成為第i波長λ,的近紅外線的波長區域 的相關係數以上的相關係數之第2波長又2的近紅外線的 324006 24 201243312 藉由第1波長;及第2波長Λ 2的近紅 與1100至2200rm的範圍的波長區域的 2的近紅 波長區域’其次, 外線的波長區域、 複回歸分析,選擇歸屬於多種污泥的分析要素量並成為第 1波長λ,的近紅外線的波長區域的相關係數以上的相關係 數之第3波長a 3的近紅外線的波長區域,並藉由第i波長 λ 1至第(n-1)波長人(η_υ的近紅外線的波長區域、與 至2200nm的範圍的波長區域的複回歸分析,選擇歸屬於多 種污泥的分析要素量並成為第1波長又,的近紅外線的波長 區域的相關係數以上的相關係數之第η波長“的近紅外 線的波長區域。 其次,就每種污泥之分析要素量的波長之選擇加以說 明如下。 (高發熱值) 第5圖係表示當選擇有關高發熱值之回歸式的第1波 長λ 1時所用之分析值與近紅外線的波長之相關關係之曲 線圖。如第5圖所示’進行測定之分析要素量為高發熱值 之情形’則於第1波長λ !,作為與高發熱值的分析值的相 關關係高的相關係數,係選擇相關係數的絕對值為顯示 〇· 7以上’亦即相關係數為-0· 7以下,〇. 7以上之波長範 圍。亦即,從 1200 至 1222nm、1376 至 1390nm、1418 至 1498nm、1612 至 1696nm、1744 至 1752nm、1762 至 1776nm、 1806 至 1810mn、1826 至 1868nm、或 1894 至 1910nm 的波 長範圍選擇第1波長λ!。 其次,從2158至2164nm的波長範圍選擇第2波長λ 2。 324006 25 201243312 接著,從 1370 至 1392nm、1416 至 1490nm、1538nm、1578 至 1580nm、1616 至 1618nm、1624nm、1658 至 1668nm、 1746nm、1766 至 1780nm,或 1824 至 1914nm 的波長範圍選 擇第3波長λ3。然後,從1324至1326nm,或1502至1516nm 的波長範圍選擇第4波長λ4。於此等的選擇時,使第1波 長λ 1至第4波長λ 4的組合的相關係數成為0. 9以上。 較佳為,從1750nm±2nm的波長範圍選擇第1波長λ ,, 從2160nm±2nm的波長範圍選擇第2波長λ2,從1390nm士 2nm的波長範圍選擇第3波長又3 ’從1510nm±2nm的波長 範圍選擇第4波長;U » (低發熱值) 第6圖係表示當選擇有關低發熱值之回歸式的第1波 長λ !時所用之分析值與近紅外線的波長之相關關係之曲 線圖。如第6圖所示,進行測定之分析要素量為低發熱值 之情形’則首先,於第1波長λ!,作為與低發熱值的分析 值為相關關係高的相關係數,係選擇相關係數的絕對值為 顯示0. 7以上,亦即相關係數為-〇. 7以下,〇· 7以上之波 長範圍。 亦即,從 1202 至 1226nm、1234 至 1248nm,或 1650 至1678ηιη的波長範圍選擇第1波長;^。其次,從16〇2至 1636nm,或1718至1736nm的波長範圍選擇第2波長入2, 從1808至1834nm,或1994至2008nm的波長範圍選擇第3 波長λ 3 ’從1330至1386nm,或2058至2066nm的波長範 圍選擇第4波長λ4。於此等的選擇時,使第1波長人,至 324006 26 201243312 第4波長λ 4的組合的相關係數成為〇. 9以上。 較佳為’從1668nm±2nm的波長範圍選擇第1波長λ 1, 從1726mn±2nm的波長範圍選擇第2波長λ2,從2〇〇2nm土 2nm的波長範圍選擇第3波長人3,從2〇62nm土2nm的波長 範圍選擇第4波長入4。 (水份量) 第7圖係表示當選擇有關水份量之回歸式的第1波長 λ 1時所用之分析值與近紅外線的波長之相關關係之曲線 圖。如第7圖所示,進行測定之分析要素量為水份量之情 形,首先,於第1波長,作為與水份量的分析值的相關 關係尚的相關係數,係選擇相關係數的絕對值為顯示〇 7 以上,亦即相關係數為_〇· 7以下,〇· 7以上之波長範圍。 亦即,從1718至1732nm ,或2002至2044nm的波長 範圍選擇第1波長》其次,從1558至1600nm、1624至 1696nm,或2060至2068nm的波長範圍選擇第2波長入2。 接著,從1720至1736nm,或2120至2160nm的波長範圍 選擇第3波長;u。然後,從1290至I302nm,或1394至 1408nm的波長範圍選擇第4波長几4。於此等的選擇時,使 第1波長λι至第4波長λ 4的組合的相關係數成為〇. 9以 上。 較佳為,從2014nm±2nm的波長範圍選擇第1波長;^, 從2064nm±2nm的波長範圍選擇第2波長λ2,從1730nm士 2nm的波長範圍選擇第3波長又3,從1396nm土2nm的波長 範圍選擇第4波長又4。 324006 27 201243312 (氫量) 第8圖係表示當選擇有關氫量之回歸式的第1波長又1 時所用之分析值與近紅外線的波長之相關關係之曲線圖。 如第8圖所示,進行測定之分析要素量為氫量之情形’首 先,於第1波長λ i,作為與氫量的分析值的相關關係高的 相關係數,係選擇相關係數的絕對值為顯示〇· 7以上’亦 即相關係數為-0.7以下’ 0.7以上之波長範圍。 亦即,從 1140 至 1144nm、1190 至 1226nm、1236 至 1258nm、1302 至 1336nm、1366 至 1390nm、1414 至 1502nm、 1610 至 1696nm、1744 至 1752nm、1760 至 1778nm、1806 至1868nm,或1892至1910nm的波長範圍選擇第1波長λ 1。 其次,從1746至1752nm,或2160至2164nm的波長 範圍選擇第2波長λ2。接著,從1306至1334nm、1344至 1390nm、1404 至 1496nm、1552 至 1630nm、1654 至 1668nm、 1746nm、1764 至 1784nm、1822 至 1868nm,或 1886 至 1914nm 的波長範圍選擇第3波長λ”然後,從1984至1994nm的 波長範圍選擇第4波長;14。於此選擇中,係使第1波長入 1至第4波長;14的組合之相關係數成為〇. 9以上。 較佳為’從1748nm±2nm的波長範圍選擇第i波長入!, 從2162nm±2mn的波長範圍選擇第2波長人2,從1388nm土 2nm的波長範圍選擇第3波長人3,從刪nm±2nm的波長 範圍選擇第4波長;14 〇 又’就灰份量、硫份量、碳份量的分析要素量之回歸 式’亦可按同樣手法加以決定。 324006 28 201243312 又’如將測定對象的污泥的測定時的溫度設成τ,預 先所設定之基準溫度設成Τ。時,控制部20,具備有從溫度 T下之分析要素量Ct進行溫度校正以算出基準溫度τ。時之 分析要素量C。之功能。在污泥保持部1的管體4,内藏有 測定管體4内的污泥的溫度之溫度感測器19,控制部2〇, 則根據該溫度感測器19的檢測溫度,需要時進行溫度校正。 控制部20,則藉由例如,屬於溫度校正式之式而 加以算出。 [數6] (2) C^^^b(T-T0) + Ct 又 机〜T為測定對象的污泥的測定時的溫度,τ。為預先 二基準溫度’Ct、C。為所屬之溫度的分析要素量(高 二WB、i低發熱值的單位為"g,水份量的單位為重量 %-DB),伤里、硫份置、氫1,以及碳份量的單位為重量 又a b為溫度與測定值的最小二次方法的解答。 溫度變4 ^使有例如一曰内之溫度變化或每改變季節時之 ::於二等的溫度變化,其所測定之變化量雖然比較少, 泥之狀基準溫度下之分析要素量,故可穩定地掌握污 燃料量果將能進行例如脫水污泥的焚化時所使用之 之運送,制部2G具備有根據污泥之運送速度以算出污泥 素量值力能。藉此,可算出所運送之污泥的總分析要 '、 例如總發熱量。 324006 29 201243312 因而’如利用採用此一實施形態之分析要素量測定裝 置,以測定污泥之分析要素量時,則例如,以測定高發熱 值之情形加以說明時,則如下述方式。 亦即’於控制部20中,設定有回歸式記憶功能所記憶 之回歸式’與所選擇之近紅外線的波長之組合。污泥被運 送而在污泥保持部1的管體4内移動。在此狀態下,如在 適當時間從控制部2〇發出測定開始之指令時,則從照光部 2照射光線’來自該污泥之反射光或透射光即被受光部3 所受光。在受光部3所受光之光,即通過光纖8而到達分 光部17 ’光即被分光為各波長區域,並轉換為因其光的強 度所引起之電信號,並經由控制電窥18而送出於控制部 20内之電路。於控制部2〇中,則將進行依照上述之回歸 式的演算處理。亦即,求出污泥的吸光度,並依照預定的 歸屬波長所得之回歸式而可算出高發熱值。在此,視需要 進行上述之溫度校正。 由於如此方式所算出之高發熱值’係採用直接歸屬於污 泥的高發熱值之近紅外線的波長區域加以特定(Specify), 故變成可直接測定測定對象的污泥之分析要素量,結果可 提升演算效率並可達成測定精確度之提升。亦即,藉由已 經知悉依化學分析之分析要素量之多數的分析要素量與既 知之樣本污泥之複回歸分析,而首先,求出相關係數高的 第1波長,接著,求出相關係數高的第2波長至第η波長》 各波長係藉由試料的吸光度與依化學分析之既知的分析要 素量所得之複回歸分析,而從例如相關係數的絕對值為顯 324006 30 201243312 不〇. 7以上之區加以決定。此等波長區,即使作為單一波 長使用時’祇要是廣範圍設定分析要素量的標準誤差範圍, 即可推測為能測定分析要素量。然而,藉由求出相關係數 尚的第2波長至第n波長,可提升精確度。於高發熱值以 外的分析要素量的測定中,亦同樣進行。又,所算出之高 發熱值為經進行溫度校正之數值之情形,則可穩定地掌= 污泥之狀‘&、。趣算出之高發熱值,例如可提供為脫水污 泥的焚化時所使用之燃料量的控制之用。 ㈣^於此敎中’污泥保持部1係由運送污泥之管體4 孔5設置有照二=先線之窗孔6’並於此窗 以即時方式算出分析要4=故就連續移動之污泥能 u ,、 並較批式者為能確實掌握所 運送之〉可泥之狀態,而可谁一 進步確實進行例如脫水污泥的 焚化時所使用之燃料量之控制 使對、·…、. 由於管體4之故’即 的墨力,仍然不致於妨礙運送, 可介“孔5而從此㈣中之污泥取得數據。 第4A及第4B圖,係分κ丨丨主_ 伟刀别表不採用此一實施形態之分 析要素一4置的污泥保持部㈣及剖面 圖。該污泥保持部1,係由道、,,、 、ΠΛ 污泥40之帶運機(belt c〇nveyor)30所構成者。由於 '由▼運機30所構成之故,可 使知簡卓^又,於帶運機3〇的污泥的路徑途中,設置 有經設置由光纖7、8所成之照光部2及受光心之照受光 探針1G。㈣総針1G_安裝於絲部12,而該安裝 部12係經設置於被帶運㈣的基心 泥 324006 31 201243312 以遮光之封蓋32。利用該帶運機30所成之污泥保持部j, 仍可發揮與上述同樣之作用效果。 其次,就根據上述之一實施形態之實施例加以說明。 亦即,實施例,係就30種的脫水污泥預先進行成分量之化 學分析,將基準溫度設成2(Tc,對經調整為與此基準溫度 同樣之20°C之污泥樣本,採用對脫水污泥照射11〇〇至 2200nm的近紅外線並以光檢測器檢測其反射光之方式之 近紅外線光譜分析系統以獲得在各波長下的光強度以進行 吸光度舁出、雜訊處理(noise treatment)、二次微分處 理’並就二次微分光譜及高發熱值、低發熱值、水份量、 氫量,藉由複回歸分析以求出回歸式。 (實施例1) 於實施例1中,關於高發熱值的回歸式之算出,從1418 至1498nm的範圍選擇第1波長,作成i440nm。從2158 至2164nm選擇第2波長;12,作成2162nm。從1370至1392nm 選擇第3波長λ3,作成1372nm。從1502至1516nm選擇 第4波長λ4 ’作成1504nm。第9圖係表示採用此實施例1 之有關高發熱值的回歸式之算出之化學分析值與光譜分析 值的關係之曲線圖。如第9圖所示,在此條件下,構建回 歸係數為 K〇=19438. 6卜 Ki=-399500. 00、K2=-1464952. 64、 K3=-102432. 58、Κ4=-75560· 21,而複相關係數為 0. 965、 標準誤差成為1154. 272之檢量線。 (實施例2) 於實施例2中,關於低發熱值的回歸式之算出,從1234 324006 32 201243312 至1248nm選擇第1波長h,作成1238nm。從1718至1736nm 選擇第2波長;U,作成1726nm。從1994至2008nm選擇 第3波長;U,作成2002nm。從2058至2066nm選擇第4 波長;U,作成2062nm。第10圖係表示採用此實施例2之 有關低發熱值的回歸式之算出之化學分析值與光譜分析值 的關係之曲線圖。如第10圖所示,在此條件下,構建回歸 係數為 K〇=-1223. 83、L=982305. 99、κ2=-141170. 16、κ3= 255168. 71、Κ4=-410541. 92,而複相關係數為 0. 951、標 準誤差成為446. 359之檢量線。 (實施例3) 於實施例3中,關於水份量的回歸式之算出,從1718 至1732nm選擇第1波長λ !,作成1726nm。從2060至2068nm 選擇第2波長λ2,作成2062nm。從2120至2160nm選擇 第3波長λ3,作成2142nm。從1394至1408nm選擇第4 波長λ4,作成1394nm。第11圖係表示採用此實施例3之 有關水份量的回歸式之算出之化學分析值與光譜分析值的 關係之曲線圖。如第11圖所示,在此條件下,構建回歸係 數為 Kg=77· 335、1L=1518. 19、K2=600. 23、K3=-1357. 24、 K4=324. 20,而複相關係數為0. 930、標準誤差成為2. 323 之檢量線。 (實施例4) 於實施例4中,關於氩量的回歸式之算出,作成1440nm 為第1波長;I!,1750nm為第2波長;12,1584nm為第3波 長λ3,1986nm為第4波長;U。第12圖係表示採用此實施 324006 33 201243312 例4之有關氫量的回歸式之算出之化學分析值與光譜分析 值的關係之曲線圖。如第12圖所示,在此條件下,構建回 歸係數為 K〇=l. 54、Kf-81. 58、K2=144. 07、K3=-211.49、 K4=174. 66,而複相關係數為0.922、標準誤差成為0.420 之檢量線。 (實施例5) 於實施例5中,關於高發熱值的回歸式之算出,作成 1750nm為第1波長久1,2160nm為第2波長人2,1390nm為 第3波長;13,1510nm為第4波長;U。第13圖係表示採用 此實施例5之有關高發熱值的回歸式之算出之化學分析值 與光譜分析值的關係之曲線圖。如第13圖所示,在此條件 下,構建回歸係數為 Kd=21380. 59、Κι=452677. 54、K2= -1365790. 6、Κ3=155574. 9、Κ4=-214934. 3,而複相關係數 為0. 963、標準誤差成為1195. 789之檢量線。 (實施例6) 於實施例6中,關於低發熱值的回歸式之算出,作成 1668nm為第1波長λ 1,1726nm為第2波長人2,2002nm為 第3波長;13,2062nm為第4波長;U。第14圖係表示採用 此實施例6之有關低發熱值的回歸式之算出之化學分析值 與光譜分析值的關係之曲線圖。如第14圖所示,在此條件 下,構建回歸係數為 K〇=-2139. 80、1=171764.30、K2= -141741.66、Κ3=306325. 42、Κ4=-303717. 60,而複相關係 數為0. 967、標準誤差成為369. 070之檢量線。 (實施例7) 324006 34 201243312 於實施例7中,關於水份量的回歸式之算出,作成 2014nm為第1波長λ丨,2064nm為第2波長λ 2,1730nm為 第3波長λ3,1396nm為第4波長;U。第15圖係表示採用 此實施例7之有關水份量的回歸式之算出之化學分析值與 光譜分析值的關係之曲線圖。如第15圖所示,在此條件 下,構建回歸係數為 1((^79.93 11=-2660.45 12=2853.30、 Κ3=693· 5卜K4=104. 14,而複相關係數為0. 928、標準誤差 成為2. 354之檢量線。 (實施例8) 於實施例8中,關於氫量的回歸式之算出,作成1748nm 為第1波長;I!,2162nm為第2波長λ2,1388nm為第3波 長λ3,1988nm為第4波長λ4。第16圖係表示採用此實施 例8之有關氫量的回歸式之算出之化學分析值與光譜分析 值的關係之曲線圖。如第16圖所示,在此條件下,構建回 歸係數為 Κπ4. 54、1=56. 78、Κ2=-279. 66、Κ3=46. 99、Κ4= 170. 61,而複相關係數為0. 967、標準誤差成為0. 278之 檢量線。 其次,就實驗例加以說明。 (實驗例1) 實驗例1中,採用就上述之高發熱值、低發熱值、水 份量、以及氫量之分別求得之有關實施例5至8之回歸式 (檢量線),進行成分量未知的脫水污泥的測定,並就其脫 水污泥依化學分析加以特定成分量並進行比較。第17圖係 表示其結果之表。從第17圖可知,於高發熱值相關係數為 324006 35 201243312 0. 930、標準誤差1172. 8,於低發熱值相關係數為0. 920、 標準誤差460. 6,於水份量相關係數為0. 930、標準誤差 3. 0,於氫量相關係數為0. 976、標準誤差0. 2之結果,高 發熱值、低發熱值、水份量、以及氫量之任一項均為顯示 相關係數高、標準誤差(SEP)亦顯示有低的值,而獲得屬於 優異者之證明。 (實驗例2) 於實驗例2中,低發熱值Hu,係根據例如下水道污水 處理法,而採用高發熱值HuB、水份量W«)、以及氫量h(%) 並依下述之式(3)加以計算後在利用。 [數7] ^=……⑶ 100 100 於實驗例2中,直接利用近紅外光譜分析測定低發熱 值者時,與經從個別測定高發熱值、水份量、氫量的值採 用下水道污水處理法所計算之結果的化學分析值加以比 較。第18圖係表示其結果之圖。從第18圖發現,相關係 數成為0. 906、標準誤差成為498. 0,可知直接測定之作法 為較能正確測定者之事實。 (實驗例3) 於實驗例3中,就高發熱值,檢討溫度校正之前(實測 值)與經溫度校正之後的值之差異。一般在現場(field)進 行時,環境溫度不一定之情形多,物質的分子的運動能量 亦會變化。在此情形,如就依近紅外線光譜分析所得之測 324006 36 201243312 疋’雖然其測定之變化量比較少,惟例如,採用上述之式 (2)以施加溫度校正,則可獲得在基準溫度下的測定值。 具體而言,例如就高發熱值,如依最小二次方法解開 一次方程式,以求出a、b各係數時,則成為a=u 6〇9、 b=-307· 31,而可求得因溫度變化所引起之高發熱值的變化 量。採用此溫度校正式而就高發熱值施加溫度校正。第19 圖係表不就污泥的溫度,及高發熱值進行溫度校正之前(實 測值)及經溫度校正之後之值之曲線圖,而第2〇圖係表示 脫水污泥溫度與發熱量測定值的關係之曲線圖,第21圖係 表不脫水污泥溫度變化量與脫水污泥高發熱值測定值的變 化量之關係之曲線圖。 如採用以上所說明之此一實施形態,則由於能找出對 有關污泥之高發熱值、低發熱值、水份量、灰份量、硫分 量、氮量’或碳份量中之至少一種分析要素量直接歸屬之 近紅外線的波長區域’並採用該波長區域以測定分析要素 量’故可直接測定測定對象的污泥的發熱量等的分析要素 量’而可提升演算效率並提升測定精確度。又,就高發熱 值及低發熱值而言,由於如瞭解水份量、灰份量、硫分量、 氫量’或碳份量之值時,則可藉由計算而算出,故可利用 各別的分析要素量而加以驗算,並可提升測定精確度。結 果’可採用測定數據以掌握污泥的狀態,結果將可確實進 行例如在脫水污泥的焚化時所使用之燃料量的控制。又, 相對於僅罪脫水污泥的爐飼給污泥總發熱量之變化與爐燃 料使用量的關係之回授控制以進行控制之作法,由於事前 324006 37 201243312 可掌握爐飼給總發熱量,故亦可進行前授控制。 以上,已就本發明之一實施形態具體加以說明,惟本 發明並不因上述之一實施形態而有所限定,而能進行根據 本發明之技術性構想之各種變形。例如,於上述之一實施 形態中所舉之數值畢竟僅屬於一例,需要時可採用與此相 異之數值。 於上述之一實施形態中,於分析要素量之測定中已測 定來自污泥之反射光,惟並不必限定於此作法,亦可依污 泥之性質而受光透射光之後再測定,亦可適當加以變更。 又,於有關實施形態之回歸式中,雖然作成高發熱值、低 發熱值係作成J/g,水份量係作成重量%_WB »氫量及其他 係作成重量%-DB之方式,惟並不必限定於此種作法,祇要 是能符合所提示之數式的關係之式,則分析要素量C的單 位,亦可設定為任何方式。 於本發明中,雖然將低發熱量之特定係藉由依下水道 污水試驗法之規定算出方法所進行者,惟即使採用日本工 業規格(JIS)等任何算出方法,仍可對應。 【圖式簡單說明】 第1圖係表示採用本發明之實施形態之污泥之分析要 素量測定裝置之構成圖。 第2A圖係採用本發明之實施形態之污泥之分析要素 量測定裝置之污泥保持部的正面圖。 第2B圖係採用本發明之實施形態之污泥之分析要素 量測定裝置之污泥保持部的側面剖面圖。 324006 38 201243312 第3圖係表示採用本發明之實施形態之污泥之分析要 素量測定裝置中之控制部的通信部之連接狀態之圖。 第4A圖係採用本發明之實施形態之污泥之分析要素 量測定裝置之污泥保持部的另一例之斜視圖。 第4B圖係於第4A圖中之採用本發明之實施形態之污 泥之分析要素量測定裝置之污泥保持部的另一例中沿著 X-X線之剖面圖。 第5圖係於採用本發明之實施形態之分析要素量測定 方法中’表示當選擇有關高發熱值之回歸式的第1波長λ ! 時所用之分析值與近紅外線的波長之相關關係之曲線圖。 第6圖係於採用本發明之實施形態之分析要素量測定 方法中,表示當選擇有關低發熱值之回歸式的第1波長入1 時所用之分析值與近紅外線的波長之相關關係之曲線圖° 第7圖係於採用本發明之實施形態之分析要素量測定 方法中,表示當選擇有關水份量之回歸式的第1波長入1 時所用之分析值與近紅外線的波長之相關關係之曲線圖。 第8圖係於採用本發明之實施形態之分析要素量測定 方法中,表示當選擇有關氫量之回歸式的第1波長λι時所 用之分析值與近紅外線的波長之相關關係之曲線圖。 第9圖係表示本發明之實施例1中有關高發熱值的回 歸式之算出之化學分析值與光譜分析值(spectroanalysis value)的關係之曲線圖。 第10圖係表示本發明之實施例2中有關低發熱值的回 歸式之算出之化學分析值與光譜分析值的關係之曲線圖。 39 324006 201243312 第11圖係表示本發明之實施例3中有關水份量的回歸 式之算出之化學分析值與光譜分析值的關係之曲線圖。 第12圖係表示本發明之實施例4中有關氫量的回歸式 之算出之化學分析值與光譜分析值的關係之曲線圖。 第13圖係表示本發明之實施例5中有關高發熱值的回 歸式之算出之化學分析值與光譜分析值的關係之曲線圖。 第14圖係表示本發明之實施例6中有關低發熱值的回 歸式之算出之化學分析值與光譜分析值的關係之曲線圖。 第15圖係表示本發明之實施例7中有關水份量的回歸 式之算出之化學分析值與光譜分析值的關係之曲線圖。 第16圖係表示本發明之實施例8中有關氫量的回歸式 之算出之化學分析值與光譜分析值的關係之曲線圖。 第17圖係關於實驗例1,表示利用就高發熱值、低發 熱值、水份量、以及氫量求得之實施例5至8的回歸式(檢 量線)所測定之成分量為未知的脫水污泥之值,與就該脫水 污泥而利用化學分析所測定之成分量之值之比較結果之 表。 第18圖係關於實驗例2,表示利用就低發熱量求得之 實施例6的回歸式(檢量線)所測定之成分量為未知的脫水 污泥之值,與從個別測定高發熱值、水份量、氫量之值採 用下水道處理法所計算之值之比較結果之表。 第19圖係關於實驗例3,表示就污泥之溫度、及高發 熱值進行溫度校正之前(實測值)及經溫度校正之後之值之 曲線圖。 324006 40 201243312 第20圖係關於實驗例3,表示脫水污泥溫度與發熱量 測定值的關係之曲線圖。 第21圖係關於實驗例3,表示脫水污泥溫度變化量與 脫水污泥高發熱值測定值的變化量之關係之曲線圖。 【主要元件符號說明】 1 污泥保持部 2 照光部 3 受光部 4 管體 5 窗孔 6 壓塊 7、8 光纖 10 照受光探針 11 纖維結合部 12 安裝部 13 封蓋 15 光源箱 16、18 控制電纜 17 分光部 19 溫度感測器 20 控制部 21 顯示部 22 攝像部 23 通信部 24 終端機 30 帶運機 31 基台 32 封蓋 40 污泥 324006 41C-KQ+KX d2A(\) άλ2 + Κ2 d2A(X2) { άλ2 /=1 d2A(^) άλ2 + κ ^2Α(λη) η~~ άλ2 (1) (C: Analyze the amount of elements (high calorific value, low) The unit of calorific value is 8 joules / g, the unit of moisture content is % by weight - WB (wet basis), ash content, sulfur amount ', hydrogen amount, and the unit of carbon content is % by weight - DB (dry basis) , λ : wavelength, Α ( λ η): η wavelength; absorbance of I η (η : natural number), κ. , Κι, Κ2. . . , Κη: the absorbance measured in the population and the measured factor, and the coefficient determined by the least square method (K◦ also includes the temperature due to the dewatered sludge. The measured value drift)) is formed in the above formula (1), when the first wavelength λι to the η wavelength λη are selected, 'sequentially: the selection is attributed to the plurality of sludges The chemical analysis of the subject is known as the analytical element amount of the above-mentioned plurality of sludges and the correlation coefficient (C〇efficient of correlation) of the analysis of the element value and the absorbance of each of the above-mentioned subjects. The absolute value becomes 0. In the wavelength region of the near-infrared rays of 7 or more, the near-infrared 324006 7 201243312 wavelength region of the first wavelength Λ, and the complex regression analysis of the wavelength region of ll 〇〇 nm or more and 2200 nm or less. Selecting the amount of the analysis element attributed to the plurality of types of sludge to form a wavelength region of the near-infrared rays of the second wavelength λ 2 having a correlation coefficient equal to or greater than a correlation coefficient of the near-infrared wavelength region of the first wavelength λ i , and The complex regression analysis of the wavelength region of the near-infrared rays of the first wavelength λ and the second wavelength and the wavelength region of the second wavelength and the wavelength range of 1 10000 nm to 2200 nm or less selects the amount of the analysis component attributed to the plurality of sludges and becomes the aforementioned 丨The wavelength of the near-infrared wavelength region of the third wavelength λ3 of the correlation coefficient of the near-infrared wavelength region of the wavelength λ 1 or more, and the first wavelength λ ! to the (η - 1) wavelength; I Η The complex regression analysis of the wavelength region of the near-infrared rays and the wavelength region of 1 10000 nm or more and 2200 nm or less selects the amount of the analysis component attributed to the plurality of sludges and becomes the first wave Above the coefficient of correlation of the near infrared wavelength region of λ 1 wavelength correlation coefficient [eta] λ η near infrared wavelength region. According to the present invention, the first wavelength having a high correlation coefficient is first obtained by complex regression analysis of the amount of the analysis element which is determined by the chemical analysis analysis, and the correlation coefficient is high. The second wavelength determines the η wavelength. Each wavelength is analyzed by complex regression analysis of the absorbance of the sample and the known amount of analytical elements according to the chemical analysis, and the absolute value of the correlation coefficient is, for example, 〇. The decision is made in areas above 7 or higher. When these wavelength regions are used as a single wavelength, if the standard error range of the analysis element amount is set to be wide, it can be presumed that the analysis element amount can be measured. However, by obtaining the second wavelength to the ηth wavelength with high correlation coefficients, the accuracy can be improved. That is, in the present invention, the amount of the analysis element such as the calorific value of the sludge 324006 8 201243312, the low calorific value, the moisture amount, the ash amount, the sulfur amount, the hydrogen amount, and the carbon component can be obtained in the near infrared ray. The wavelength region of llOOnm or more and 2200 nm or less is directly calculated. The concept of this calculation method differs from the conventional method of calculating the calorific value based on the organic matter content and the water content rate of the sludge. The method for measuring the amount of the analysis element of the sludge of the present invention is characterized by the fact that the amount of the analysis element to be measured is a high calorific value, from 1200 to 1222 nm, 1376 to 1390 nm, and 1418 to 1498 nm. Selecting a first wavelength from a wavelength range of 1612 to 1696 nm, 1744 to 1752 nm, 1762 to 1776 nm, 1806 to 1810 nm, 1826 to 1868 nm, or 1894 to 1910 nm; ^, selecting a second wavelength λ 2 from a wavelength range of 2158 to 2164 nm, from The wavelength range of 1370 to 1392 nm, 1416 to 1490 nm, 1538 nm, 1578 to 1580 nm, 1616 to 1618 nm, 1624 nm, 1658 to 1668 nm, 1746 nm, 1766 to 1780 nm, or 1824 to 1914 nm selects the third wavelength λ3, from 1324 to 1326 nm, or 1502 The fourth wavelength is selected in the wavelength range of 1516 nm; U, and the correlation coefficient of the combination of the first wavelength λ and the fourth wavelength λ 4 is 〇. 9 or more. In this case, the first wavelength is selected from the wavelength range of 1750 nm ± 2 nm, the second wavelength λ2 is selected from the wavelength range of 2160 nm ± 2 nm, and the third wavelength is selected from the wavelength range of 1390 nm ± 2 nm for a long time of 3 and from 1510 nm ± It is effective to select the fourth wavelength λ4 in the wavelength range of 2 nm. The method for measuring the amount of the analysis element of the sludge of the present invention is characterized in that the amount of the analysis element to be measured is a low calorific value, from 1202 to 1226 nm, 1234 to 1248 nm, or 1650 324006. 9 201243312 to 1678nm wavelength range select the first wavelength λι, select the second wavelength from 16〇2 to i636nm, or 1718 to 1736nm wavelength range; U, select the third wavelength from 1808 to 1834nm ' or 1994 to 2008nm wavelength range The fourth wavelength λ 4 is selected from the wavelength range of 1330 to 1386 nm ' or 2058 to 2066 nm, and the correlation coefficient of the combination of the first wavelength λ 1 to the fourth wavelength λ 4 is 〇·9 or more. In this case, the first wavelength λ1 is selected from the wavelength range of I668 nm±2 nm, the second wavelength λζ is selected from the wavelength range of 1726 nm±2 nm, and the third wavelength λ3 is selected from the wavelength range of 2002 nm±2 nm, and the wavelength is from 2062 nm±2 nm. The range selects the 4th wavelength; U is more effective. The method for measuring the amount of the analysis component of the sludge of the present invention is characterized in that, in the case where the amount of the analysis element to be measured is the amount of water, the wavelength range from 1718 to 1732 nm or 2002 to 2044 nm is selected. The first wavelength λι selects the second wavelength λ2 from the wavelength range of 1558 to 1600 nm, 1624 to 1696 nm, or 2060 to 2068 nm, selects the third wavelength λ3 from the wavelength range of 1720 to 1736 nm, or 2120 to 2160 nm, from 1290 to 1302 nm, Or the wavelength range of 1394 to 1408 nm selects the fourth wavelength; U, and makes the first wavelength λ! to the fourth wavelength; the correlation coefficient of the combination of U becomes 0. 9 or more. In this case, the first wavelength is again selected from the wavelength range of 2014 nm ± 2 nm, the second wavelength is selected from the wavelength range of 2064 nm ± 2 nm, and the third wavelength is selected from the wavelength range of 1730 nm ± 2 nm; 13, from 1396 nm ± 2 nm. The wavelength range selects the fourth wavelength; U is more effective. The method for measuring the amount of the analysis component of the sludge of the present invention is characterized in that, in the case where the amount of the analysis element to be measured is the amount of hydrogen, from 1140 to 1144 nm, 1190 to 1226 nm, and 1236 to 1258 nm, 324006 10 201243312 1302 to 1336 nm, 1366 to 1390 nm, 1414 to 1502 nm, 1610 to 1696 nm, 1744 to 1752 nm, 1760 to 1778 nm, 1806 to 1868 nm, or 1892 to 1910 nm wavelength range select the first wavelength λ i , from 1746 to 1752 nm, Or the wavelength range of 2160 to 2164 nm selects the second wavelength λ2 from 1306 to 1334 nm, 1344 to 1390 nm, 1404 to 1496 nm, 1552 to 1630 nm, 1654 to 1668 nm, 1746 nm, 1764 to 1784 nm, 1822 to 1868 nm, or 1886 to 1914 nm. The range selects the third wavelength and 3' from the wavelength range of 1984 to 1994 nm to select the fourth wavelength and 4' and the correlation coefficient of the combination of the first wavelength into the fourth wavelength λ 4 becomes zero. 9 or more. In this case, the first wavelength λ 1 ' is selected from the wavelength range of i748 nm ± 2 nm. The second wavelength h is selected from the wavelength range of 2162 nm ± 2 nm, and the third wavelength λ3 is selected from the wavelength range of 1388 nm ± 2 nm, and the wavelength is from 1988 nm ± 2 nm. It is effective to select the fourth wavelength λ4 in the range. In the above invention, the method for measuring the amount of the analysis component of the sludge according to the present invention is characterized in that temperature correction is performed from the analysis factor of the temperature at the time of measurement of the sludge to be measured (c〇rrecti〇n The amount of the analysis element at the time of calculating the reference temperature set in advance. In this case, it is based on (2) [2] C0 = a + b(T-TQ) + Ct. . . . . . (2) (τ) The temperature at the time of measurement of the sludge to be measured, τ "The reference temperature set in advance, Ct, C.: The amount of the analysis element of the temperature to which it belongs (high-incidence: the unit of the value and the low calorific value; /g, the unit of moisture is the weight, 324006 11 201243312 The amount of ash, sulfur, hydrogen, and carbon is in weight%_DB), a, b. The temperature and the minimum quadratic method of the measured value are used to perform the aforementioned temperature correction. Specifically, even if there is, for example, a temperature change in one day or a temperature change such as /m degree change every time the season is changed, the amount of change measured is relatively small. However, since the amount of the analysis element at the reference temperature is calculated, the state of the sludge can be stably grasped, and as a result, for example, the amount of fuel used for incineration of the dewatered sludge can be controlled. The measurement target amount measuring device of the sludge according to the present invention is a reflected light or transmitted light that receives light from a sludge of a 'Bei' object, to measure the absorbance of the wavelength in the near-infrared region, and according to the foregoing The measured value of the absorbance is determined by the calorific value of the sludge, the low calorific value, the amount of water, the amount of ash, the amount of sulfur, the amount of nitrogen, and the amount of the analysis element of the sludge of at least one type of analysis component of the carbonaceous towel, and the device, In the case of the sludge to be measured, the sludge to be measured by the sludge holding unit is irradiated with the light of the light in the near area, and the light is received from the sludge. The control unit is provided by the control unit that reflects light or transmits the light portion and the light absorption of the light received by the light receiving unit, and the control unit includes the amount of the analysis element. Standard stained near-infrared "and memory" is calculated by complex regression of the second derivative spectrum of the absorbance of the wavelength of the infrared region reflected or transmitted from the sample sludge and related to the direct cause The regression type memory function of the regression element for performing the measurement, and the absorbance of the light from the light receiving unit are related to the regression equation 324006 12 201243312 The measurement element amount of the measurement of the mud Analyze the factor amount calculation function. If the analysis element measurement device for the sludge of the present invention is used, the high calorific value, the low calorific value, the moisture amount, the ash amount, the sulfur amount, and the hydrogen amount directly attributed to the sludge can be found. And the wavelength region of the near-infrared rays of at least one of the amount of the analysis component, and the amount of the analysis element is measured by using the wavelength region thereof, so that the amount of the analysis element such as the calorific value of the sludge to be measured can be directly measured. The apparatus for measuring the amount of the analysis component of the sludge according to the present invention is characterized by the regression method of the regression memory function of the control unit. The combination of the wavelengths of the near-infrared rays selected is configured as follows: The regression equation is composed of the first wavelengths having a correlation relationship with each other As the absorbance at a wavelength variable (1) of formula [Number 3] C = KQ + KX + K2 d male 2) άλ2 c / 2A (Z ,. ) άλ2 άλ2. . (1) + Κ. d2A{Xn) άλ2 (C: Analyze the amount of elements (the unit of high calorific value, low calorific value is J/g, the unit of moisture content is % by weight - WB, the amount of ash, sulfur, hydrogen, and carbon) For weight %-DB), again: wavelength, Α ( : η wavelength into [1 absorbance (11: natural number), 1 (., 1 (1, 1 (2. . . . . Κ η : The absorbance measured by the parent group and the measured component amount are determined by the minimum secondary method (Κ also contains the change of 324006 13 201243312 due to the temperature of the dewatered sludge). In the above formula (1), when the i-th wavelength λι to the η-wavelength; U is sequentially performed: selecting the magnitude of the analysis element attributed to the chemical analysis by the test object of the plurality of muds and the aforementioned test The absorbance of the body (4) The amount of the analysis factor of the Weiqian seed sludge obtained by the analysis of the m-shirt, and the absolute value of the correlation coefficient becomes the wavelength region of the near-infrared rays of the i-th wavelength of 07 or more, and is close to the first wavelength λι In the wavelength region of the infrared ray and the wavelength region of iioonm or more and 2,200 nm or less, the correlation factor amount attributed to the plurality of sludges is selected to be a correlation coefficient of the wavelength region of the first wavelength λ' near infrared ray. a wavelength region of near-infrared rays of the second wavelength λ2 of the coefficient and a near-infrared wavelength region of the first wavelength h and the 帛2 wavelength λ 2 and a wavelength of llOOmn or more and 2200 nm or less In the complex regression analysis of the domain, the amount of the analysis element attributed to the plurality of sludges is selected and the wavelength region of the near-infrared rays of the third wavelength Λ 3 of the correlation coefficient of the wavelength coefficient of the near-infrared wavelength of the wavelength λ ! In the process of the first wavelength, the wavelength region of the near infrared ray of the (n_1)th wavelength λ nl and the wavelength region of llOOrnn or more and 2200 mn or less are selected for analysis of the plurality of sludges. The element amount is a wavelength region of the near-infrared wavelength of the third wavelength λ „ of the correlation coefficient of the wavelength range of the near-infrared wavelength of the i-th wavelength λ !. The analysis element amount measuring device of the sludge of the present invention is In the above invention, the combination of the regression type stored in the regression memory function of the control unit and the wavelength of the selected near-infrared light is performed from 1200 to 1200 to the high calorific value of the measured component amount. I222nm, 1376 324006 14 201243312 to 1390nm, 1418 to 1498nm, 1612 to 1696nm, 1744 to 1752nm, 1762 to 1776nm, 1806 to 1810 The wavelength range of nm, 1826 to 1868 nm, or 1894 to 191 Onm selects the first wavelength, and the second wavelength h is selected from the wavelength range of 2158 to 2164 nm, from 1370 to 1392 nm, 1416 to 1490 nm, 1538 nm, 1578 to 1580 nm, 1616. Selecting a third wavelength from 3 to a wavelength range of 1618 nm, 1624 nm, 1658 to 1668 nm, 1746 nm, 1766 to 1780 nm, or 1824 to 191111111, selecting a fourth wavelength from a wavelength range of 1324 to 132611111, or 1502 to 1516 nm; U, and The first wavelength; I! to the fourth wavelength; the correlation coefficient of the combination of U becomes 〇. 9 or more. In this case, the combination of the regression equation stored in the regression memory function of the control unit and the wavelength of the selected near-infrared light is preferably configured to select the first wavelength λ from a wavelength range of 1750 nm ± 2 nm, from 216 〇 nm. The second wavelength is selected in the wavelength range of ±2 nm; U, the third wavelength λ3 is selected from the wavelength range of I390 nm ± 2 nm. The fourth wavelength is selected from the wavelength range of 2 nm of i5i 〇 nm soil. The analysis element amount measuring device according to the present invention is characterized in that the combination of the regression type stored in the regression memory function of the control unit and the selected near-infrared wavelength is measured. In the case where the analysis element amount is a low calorific value, the wavelength range from 1202 to 1226 nm, 1234 to 1248 nm, or 1650 to I678 nm is selected to select the second wavelength from the wavelength range of 1602 to 1636 nm, or 1718 to 1736 nm. ; u 'selects a third wavelength from a wavelength range of 18〇8 to 1834 nm, or 1994 to 2〇〇8mn; 13, selects a fourth wavelength from a wavelength range of 1330 to 1386 nm, or 205« to 2〇66 nm; U, and The correlation coefficient of the combination of the first wavelength; 1 and the fourth wavelength λ 4 is made 0. 9 or more. In this case, 324006 15 201243312 The combination of the regression type memorized by the regression memory function of the control unit and the selected near-infrared wavelength is preferably configured to select the first wavelength λι from the wavelength range of l668 nm ± 2 nm, from I726 nm. The second wavelength λ2 is selected in the wavelength range of ±2 nm. The third wavelength λ3 is selected from the wavelength range of 2002 nm ± 2 nm, and the fourth wavelength is selected from the wavelength range of 2062 nm ± 2 nm. In the above invention, the analysis element amount measuring device according to the present invention is characterized in that the combination of the regression type stored in the regression memory function of the control unit and the selected near-infrared wavelength is measured. In the case where the amount of the analysis element is the amount of water, the first wavelength λ ι is selected from the wavelength range of 1718 to 1732 nm, or 2 〇〇 2 to 2044 nm, and the wavelength is from 1558 to i6 〇〇 nm, 1624 to 1696 nm, or 2060 to 2068 nm. The range selects the second wavelength λ2 'from the 1720 to I736 nm, or the wavelength range of 2120 to 2160 nm to select the third wavelength; ^, selects the fourth wavelength h from the wavelength range of 129 〇 to 13 〇 2 nm, or 1394 to 14 〇 8 , Further, the correlation coefficient of the combination of the first wavelength λ! and the fourth wavelength λ 4 is set to 0.9 or more. In this case, the returning force of the control unit can be remembered by the return material and the wavelength of the near infrared ray. And σ is preferably configured to select a first wavelength from a wavelength range of 2〇14 nm±2 nm; U, select a second wavelength from a wavelength range of 2064 nra±2 nm, and select a third wavelength λ3 from a wavelength range of 1730 nm±2 nm. The fourth wavelength is selected from the wavelength range of 1396 (10) soil 2 nm. The analysis element amount measuring device for sludge according to the present invention is characterized by the following: The combination of the regression type and the near-infrared and _wavelengths memorized by the regression memory function of the control unit is the case where the amount of analysis elements measured is hydrogen, from 114〇 to U44nm, 119〇 to 324006 16 201243312 - 1226nm The wavelength range of 1236 to 1258 nm, 1302 to 1336 nm, 1366 to 1390 nm, 1414 to 1502 nm, 1610 to 1696 nm, 1744 to 1752 nm, 1760 to 1778 nm, 1806 to 1868 nm, or 1892 to 1910 nm selects the first wavelength λ 1, from 1746 to The wavelength range of 1752 nm, or 2160 to 2164 nm, selects the second wavelength λ2 from 1306 to 1334 nm, 1344 to 1390 nm, 1404 to 1496 nm, 1552 to 1630 nm, 1654 to 1668 nm, 1746 nm, 1764 to 1784 nm, 1822 to 1868 nm, or 1886 to 1914 nm. The wavelength range selects the third wavelength A·3' to select the fourth wavelength from the wavelength range of 1984 to 19 94 nm; 14 and the first wavelength to the fourth wavelength; the correlation coefficient of the combination of u becomes 0. 9 or more. In this case, the combination of the regression equation stored by the regression memory function of the control unit and the selected near-infrared wavelength is preferably configured to select the first wavelength h' from 2748 nm ± 2 mn from the wavelength range of 1748 nm ± 2 nm. The wavelength range is selected as the second wavelength ", and the third wavelength λ3 is selected from the wavelength range of 1388 coffee ± 2 nm. The fourth wavelength λ4 is selected from the wavelength range of 1988 nm ± 2 nm. The analysis of the amount of the analysis component of the sludge of the present invention is In the above invention, the combination of the regression equation stored in the regression memory function of the control unit and the wavelength of the near-infrared rays is used as the analysis element amount from the temperature at which the (four) sludge is measured. The amount of the analysis element when the temperature is corrected to the difference between the reference temperature and the predetermined reference temperature. The combination of the regression mode stored in the regression memory function of the control unit and the wavelength of the near-infrared rays is preferably configured according to (2) Formula 324006 17 201243312 [Number 4] C0=a + b(T-TQ) + Ct (2) (T: Temperature at the time of measurement of sludge to be measured, T: Pre-set reference temperature, Ct, C.: belongs to Temperature analysis factor (high calorific value, low calorific value in J/g, moisture content in weight %-WB, ash content, sulfur content, hydrogen amount, and carbon content in weight %-DB) , a, b: the solution of the temperature and the minimum secondary method of the measured value) to perform the aforementioned temperature correction. Thereby, even if there is a temperature change within one day or a temperature change such as a change in temperature during the season, the measured change Although the amount of the analysis factor of the reference temperature is calculated, the state of the sludge can be stably grasped, and as a result, for example, the amount of fuel used in the incineration of the dewatered sludge can be controlled. In the above-described invention, the apparatus for measuring an amount of mud is characterized in that a plurality of the light receiving units are provided, and the control unit calculates the amount of the analysis component of the sludge based on the absorbance of light from the plurality of light receiving units. Thereby, the amount of the analysis element can be calculated by the average of the plurality of absorbance data, and the measurement accuracy can be further improved. The analysis of the sludge of the present invention In the above-described invention, the contamination amount measuring unit is configured such that the sludge is continuously moved and held by the illuminating unit, thereby real-time (real-time). In this way, the amount of analysis elements is calculated for the continuously moving sludge, so that compared with the batch type which is taken out successively and measured, 324006 18 201243312 = and the state of the sludge to be transported can be surely grasped. Control the second order, for example, the fuel used in the incineration of dewatered sludge: this: the shape of the sludge holding unit is formed as a design that can be transported as needed. (wmdow) 'The window hole has the above-mentioned illumination part and the said light-receiving part. Since the sludge holding portion is constituted by the pipe body, even if the sludge is transported by the force of the sludge, the data can be taken from the moving dirt through the window. X. With such a configuration, it is effective that the window is composed of at least one selected from the group consisting of quartz, sapphire glass, and diamond. Thereby, the pressure resistance characteristic of the window hole can be improved, and the light transmittance is excellent, which can be obtained in a highly efficient manner. On the other hand, when necessary, the sludge holding portion is also suitably formed by a belt conveyor (belt c〇nvey〇r). Since the sludge holding portion is formed by the transfer machine, the structure of the sludge holding portion can be simplified. The analysis of the amount of the analysis component of the sludge of the present invention is in the above-mentioned month, and is characterized by: The control unit has a function of calculating the amount of sludge transported based on the degree of sludge. In this way, the total amount of the analysis component of the gas can be supplied, for example, the total calorific value of the sludge in the feed furnace to be operated in the operation can be calculated. Required when simmering furnace [effect of invention]. If the invention is used, it is possible to find at least one of the analysis factors directly attributed to the high value of the relevant sludge, the low calorific value, the moisture amount, the ash amount, the sulfur amount, the hydrogen amount, and the 324006 201243312 carbon amount. In the wavelength region of the near-infrared light, since the amount of the analysis element is measured by using the wavelength region, the amount of the analysis element such as the amount of heat generated by the measurement target can be directly measured, and the calculation efficiency can be improved, and the measurement accuracy can be improved. [Embodiment] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. Here, in all the drawings of one embodiment described below, the same or corresponding portions are denoted by the same reference numerals. Further, the present invention is not limited by the embodiments described below. In addition, in this embodiment, the method for measuring the amount of the analysis component of the sludge is realized by the analysis element amount measuring device of the sludge, and therefore, it is used in the action of the analysis component amount measuring device of the sludge. Description. The analysis element amount measuring device for the sludge according to this embodiment is a user of a treatment system for sludge generated from sewage, urinary or industrial drainage facilities. In this treatment system, the pollution is carried out by dewatering treatment using a belt extrusion type dewatering machine, a centrifugal dewatering machine, or a filter press, etc., and the dewatered sludge is, for example, in an incinerator. Incinerated. In the analysis element amount measuring device of the sludge according to the embodiment, the reflected light or the transmitted light from the sludge (dewatered sludge) to be measured by the transport pipe to the incinerator is received, and the near-infrared region is measured. The absorbance of the wavelength is used to measure at least one of the amount of the calorific value, the low calorific value, the amount of water, the amount of ash, the amount of sulfur, the amount of the sulfur, and the amount of carbon in the sludge. Fig. 1 is a view showing the configuration of a sludge measuring unit of the analysis element 324006 20 201243312 of the embodiment, and Fig. 2A is a front view of the sludge holding unit of the analysis element amount measuring device, and Fig. 2B. , is a side cross-sectional view of the sludge holding portion. As shown in FIG. 1 , FIG. 2A , and FIG. 2B , the analysis element amount measuring device according to the embodiment includes the sludge holding unit i, the illumination unit 2, the light receiving unit 3, and the control unit 2〇. . The sludge holding unit 1 holds the sludge to be measured. The illumination unit 2' irradiates the light in the near-infrared region to the sludge to be measured held by the sludge holding unit 1. The light receiving unit 3 receives light from the reflected light or transmitted light of the sludge. The control unit 20 calculates the amount of the analysis element of the sludge based on the absorbance of the light received by the light receiving unit 3. As shown in Fig. 2A and Fig. 2B, the sludge holding unit 1 is installed in the middle of the sludge transport pipe, and is composed of the pipe body 4 for transporting the sludge, and the sludge control unit 2 is continuous. Move to maintain. In the tube body 4, a window 5 for transmitting light is provided. In the pipe body 4, even if the pressure for transporting the sludge is not hindered from being transported, the data can be obtained from the moving sludge through the window 5. Further, the window hole 5 is formed of a material selected from the group consisting of quartz, sapphire glass, and diamond, and has excellent pressure resistance and excellent light transmittance, and data can be obtained. Further, a press block (press bl〇ck) 6 seals the periphery of the window hole 5. In the window 5, (4) the illumination unit 2 and the light receiving unit 3 are provided. The illumination unit 2 and the light receiving unit 3 are constituted by the ends of the optical fibers 7 and 8 for transmitting white light, and are held by the light receiving probes Uight sean ± ing and reception prQbe). The light receiving unit 3 is provided in a plurality of angles, for example, in a concentric shape with the illumination unit 2 as a center. Each 324006 21 201243312 II? Bundled to reach the fiber joint U. The light receiving probe is disposed on the mounting portion 12 of the compact 6. Further, the cover (C〇ver) 13 is covered with light. *The method of loading and pressing 6 is set to be the second (2) part 2 () controlled by the fiber junction 16 (), and the light is emitted in a timely manner by controlling the control. The optical fiber 8 which is called q is a circuit for signal processing which is branched from the fiber joint portion u and is connected to the inside of the crucible. Temperature sensor: section 4' to measure the temperature of the sludge. Further, the display unit 21 is connected to ‘ to perform various displays. (4) Control. P 2 〇, ::: control: The unit 20 is connected to the imaging unit 22 and the communication unit 邛22, and is a method for detecting the part of the sputum, such as the photography sludge holding unit, Bu Zhao, etc. It consists of monitoring the machine and confirming that there is no difference in the state of control: / ° communication unit 23. Connect to the network (1) and other two departments 23, for example, via, terminal, =. : and : 2: The complex: the final % 逸 "... w ° system 23 23, because the remote control = control of the control unit 20, in addition to accept the control from the terminal 2 and transmit from the control 2 〇 data. Years old, ^ (4) Department 20 has regression memory Wei and analysis should be one. The regression memory function is the analysis of the measurement in advance 嚷324006 ^ ^ 4 22 201243312 is the known sample sludge Irradiating the near-infrared light reflected by the sample sludge, 嘎R)' and memorizing the infrared absorption of the light of the sample sludge by the absorbance of the wavelength relative to the line region and relating to the direct-in (four) (four); The regression equation is calculated by dividing the score. The analysis determines the attribution wavelength of the amount of the element of the first stem and the regression calculation. The measurement of the sludge to be measured by the regression calculation = Here, the analysis factor amount calculation of the control unit 20 The function is based on the absorbance of the light of the plurality of light-receiving sections to calculate the fractional element of the sludge. For example, since the average value of the plurality of absorbance data can be used to calculate the amount of the y-cut factor, the measurement accuracy can be further improved. And the body of the "is number processing, with In other words, the diffused reflected light is detected by each of the light-emitting portions 3, and is sent to the spectroscopic portion 17 by the optical fiber 8 of the light-receiving portion g. In this splitting portion, the light is split in the respective wavelength regions. 'The electric signal is converted into an electric signal according to the intensity of the light, and then extracted. The electric signal converted by the spectroscopic unit 17 is supplied to the circuit in the control unit 2 via the control cable 18, and the control unit 2 performs the predetermined operation. Next, the description of the regression formula stored in the regression memory function of the control unit 20 will be described. That is, the regression type is based on the high calorific value, low calorific value, moisture amount, ash amount, and sulfur amount of the sludge. The amount of hydrogen, and the amount of carbon are set in the amount of analysis elements to be measured among the analysis elements. The regression method is to irradiate near-infrared rays to the known sample sludge in advance, and the light is derived from the sample. The reflected light or transmitted light of the sample sludge is directly caused by the complex regression analysis of the received light and the second differential spectrum under the luminosity, and is related to the amount of the analysis element related to the measurement. The equation of the wavelength 324006 23 201243312 is calculated. In detail, the regression equation is composed of the equation (1) in which the absorbances of the first wavelength to the η wavelength having a high correlation coefficient are used as variables. [5] c- K0+Kl^m+Ki^i+... cU2 /=ι αλ άλ2(1) And 'C is the amount of analysis factor (the unit of high calorific value, low calorific value is J/g, and the unit of moisture content is % by weight_WB The unit of ash amount, sulfur amount, hydrogen amount, and carbon amount is % by weight_DB, which is wavelength, and A(;u) is the absorbance of nth wavelength (n: natural number), κ.Κι, K2. ..., Kn is a coefficient determined by the minimum secondary method using the absorbance measured in the parent group and the measured component amount, and the measured value variation due to the temperature of the dewatered sludge is also included in the κ◦. In the formula (1), when the first wavelength; ^ to the η wavelength is selected. In the first place, the factor of the gambling analysis attributed to the analysis of the element value and the absorbance of the test body by the chemical analysis of the test object of the plurality of kinds of sludges is selected first. # and the absolute Τ of the correlation coefficient becomes 0. The wavelength region of the near-infrared rays of the first wavelength λι of 7 or more is selected by the complex regression analysis of the wavelength region of the near-infrared rays and the wavelength region of 丨1〇〇 to 220〇ηη by the first wavelength. The analysis element amount of the plurality of sludges becomes the i-th wavelength λ, the correlation coefficient of the near-infrared wavelength region is greater than the correlation coefficient, the second wavelength is 2, and the near-infrared 324006 24 201243312 by the first wavelength; and the second wavelength The near red color of Λ 2 and the near red wavelength region of 2 in the wavelength region of the range of 1100 to 2200 rm. Second, the wavelength region of the outer line and the complex regression analysis select the amount of the analysis element attributed to the plurality of sludges to become the first wavelength λ. The correlation coefficient of the near-infrared wavelength region is greater than the correlation coefficient of the third wavelength a 3 of the near-infrared wavelength region, and by the i-th wavelength λ 1 to the (n-1)-wavelength person (η_υ near-infrared wavelength In the complex regression analysis of the region and the wavelength region in the range of 2,200 nm, the amount of the analysis component attributed to the plurality of sludges is selected to be the correlation coefficient of the wavelength region of the near-infrared rays at the first wavelength. The wavelength of the near-infrared wavelength of the η wavelength of the correlation coefficient. Next, the selection of the wavelength of the analysis element amount of each sludge will be described as follows. (High calorific value) Fig. 5 shows the selection of the high calorific value. A graph showing the correlation between the analytical value used for the first wavelength λ 1 of the regression equation and the wavelength of the near-infrared rays. As shown in Fig. 5, the case where the amount of the analysis element to be measured is a high calorific value is at the first wavelength. λ !, as a correlation coefficient with a high correlation with the analysis value of the high calorific value, the absolute value of the correlation coefficient is selected to be 〇·7 or more', that is, the correlation coefficient is -0.7 or less, 〇. A wavelength range of 7 or more. That is, the first wavelength λ! is selected from the wavelength ranges of 1200 to 1222 nm, 1376 to 1390 nm, 1418 to 1498 nm, 1612 to 1696 nm, 1744 to 1752 nm, 1762 to 1776 nm, 1806 to 1810 mn, 1826 to 1868 nm, or 1894 to 1910 nm. Next, the second wavelength λ 2 is selected from the wavelength range of 2158 to 2164 nm. 324006 25 201243312 Next, the third wavelength λ3 is selected from the wavelength ranges of 1370 to 1392 nm, 1416 to 1490 nm, 1538 nm, 1578 to 1580 nm, 1616 to 1618 nm, 1624 nm, 1658 to 1668 nm, 1746 nm, 1766 to 1780 nm, or 1824 to 1914 nm. Then, the fourth wavelength λ4 is selected from a wavelength range of 1324 to 1326 nm, or 1502 to 1516 nm. In the selection of these, the correlation coefficient of the combination of the first wavelength λ 1 to the fourth wavelength λ 4 is made 0. 9 or more. Preferably, the first wavelength λ is selected from a wavelength range of 1750 nm ± 2 nm, the second wavelength λ2 is selected from a wavelength range of 2160 nm ± 2 nm, and the third wavelength is selected from a wavelength range of 1390 nm ± 2 nm and 3 'from 1510 nm ± 2 nm. The fourth wavelength is selected in the wavelength range; U » (low calorific value) Fig. 6 is a graph showing the correlation between the analysis value and the wavelength of near-infrared rays when the first wavelength λ ! of the regression equation for the low calorific value is selected. . As shown in Fig. 6, when the amount of the analysis element to be measured is a low calorific value, first, at the first wavelength λ!, as a correlation coefficient having a high correlation with the analysis value of the low calorific value, the correlation coefficient is selected. The absolute value is 0. 7 or more, that is, the correlation coefficient is -〇. 7 or less, 波·7 or more wavelength range. That is, the first wavelength is selected from the wavelength range of 1202 to 1226 nm, 1234 to 1248 nm, or 1650 to 1678 nm; Secondly, the second wavelength is selected from a wavelength range of 16〇2 to 1636nm, or 1718 to 1736nm, and the third wavelength λ 3 ' is selected from 1330 to 1386 nm, or 2058 to a wavelength range of 1808 to 1834 nm, or 1994 to 2008 nm. The fourth wavelength λ4 is selected in the wavelength range of 2066 nm. In the selection of these, the correlation coefficient of the combination of the first wavelength and the fourth wavelength λ 4 of 324006 26 201243312 becomes 〇. 9 or more. Preferably, the first wavelength λ1 is selected from a wavelength range of 1668 nm±2 nm, the second wavelength λ2 is selected from a wavelength range of 1726 mn±2 nm, and the third wavelength person 3 is selected from a wavelength range of 2 〇〇 2 nm soil 2 nm, from 2 The wavelength range of 262 nm soil 2 nm is selected to be 4th wavelength. (Water content) Fig. 7 is a graph showing the correlation between the analysis value used and the wavelength of near-infrared rays when the first wavelength λ 1 of the regression equation relating to the amount of moisture is selected. As shown in Fig. 7, in the case where the amount of the analysis element to be measured is the amount of water, first, at the first wavelength, as a correlation coefficient with respect to the analysis value of the amount of water, the absolute value of the correlation coefficient is selected to be displayed. 〇7 or more, that is, the correlation coefficient is _〇·7 or less, and the wavelength range of 〇·7 or more. That is, the first wavelength is selected from the wavelength range of 1718 to 1732 nm or 2002 to 2044 nm. Second, the second wavelength is selected from the wavelength range of 1558 to 1600 nm, 1624 to 1696 nm, or 2060 to 2068 nm. Next, a third wavelength; u is selected from a wavelength range of 1720 to 1736 nm, or 2120 to 2160 nm. Then, the fourth wavelength is selected from a wavelength range of 1290 to I302 nm, or 1394 to 1408 nm. In the selection of these, the correlation coefficient of the combination of the first wavelength λι to the fourth wavelength λ 4 is 〇. More than 9 above. Preferably, the first wavelength is selected from a wavelength range of 2014 nm ± 2 nm; ^, the second wavelength λ2 is selected from a wavelength range of 2064 nm ± 2 nm, and the third wavelength is selected from a wavelength range of 1730 nm ± 2 nm, and 3 nm from 1396 nm of soil. The wavelength range is selected to be 4th wavelength and 4 again. 324006 27 201243312 (Hydrogen amount) Fig. 8 is a graph showing the correlation between the analysis value used for the first wavelength and the wavelength of near-infrared rays when the first wavelength of the regression equation for the amount of hydrogen is selected. As shown in Fig. 8, the amount of the analysis element to be measured is the amount of hydrogen. First, at the first wavelength λ i , the correlation coefficient having a high correlation with the analysis value of the hydrogen amount is the absolute value of the correlation coefficient. To show 〇·7 or more', that is, the correlation coefficient is -0. 7 below ' 0. A wavelength range of 7 or more. That is, wavelengths from 1140 to 1144 nm, 1190 to 1226 nm, 1236 to 1258 nm, 1302 to 1336 nm, 1366 to 1390 nm, 1414 to 1502 nm, 1610 to 1696 nm, 1744 to 1752 nm, 1760 to 1778 nm, 1806 to 1868 nm, or 1892 to 1910 nm The range selects the first wavelength λ 1 . Next, the second wavelength λ2 is selected from a wavelength range of 1746 to 1752 nm or 2160 to 2164 nm. Next, the third wavelength λ" is selected from the wavelength range of 1306 to 1334 nm, 1344 to 1390 nm, 1404 to 1496 nm, 1552 to 1630 nm, 1654 to 1668 nm, 1746 nm, 1764 to 1784 nm, 1822 to 1868 nm, or 1886 to 1914 nm. Then, from 1984 The fourth wavelength is selected in the wavelength range of 1994 nm; 14. In this selection, the first wavelength is entered into the fourth wavelength; the correlation coefficient of the combination of 14 becomes 〇. 9 or more. Preferably, the i-th wavelength is selected from the wavelength range of 1748 nm ± 2 nm! Selecting the second wavelength of human 2 from the wavelength range of 2162 nm ± 2 mn, selecting the third wavelength of human 3 from the wavelength range of 1 □ nm 2 nm, selecting the fourth wavelength from the wavelength range of nm ± 2 nm; 14 〇 ' The regression equation of the amount of sulfur and the amount of analysis of the amount of carbon can also be determined in the same way. 324006 28 201243312 Further, if the temperature at the time of measurement of the sludge to be measured is set to τ, the previously set reference temperature is set to Τ. The control unit 20 is provided with temperature correction from the analysis element amount Ct at the temperature T to calculate the reference temperature τ. Time to analyze the amount of elements C. The function. The temperature sensor 19 that measures the temperature of the sludge in the pipe body 4 is housed in the pipe body 4 of the sludge holding unit 1, and the control unit 2〇 is required according to the temperature detected by the temperature sensor 19. Perform temperature correction. The control unit 20 is calculated by, for example, a temperature correction equation. [6] (2) C^^^b(T-T0) + Ct Machine-T is the temperature at the time of measurement of the sludge to be measured, τ. It is the second reference temperature 'Ct, C'. The amount of the analysis factor for the temperature to which it belongs (higher WB, i is the unit of low calorific value, "g, the unit of moisture content is % by weight - DB), the unit of injury, sulfur, hydrogen, and carbon is The weight ab is the solution to the minimum secondary method of temperature and measured value. The temperature becomes 4 ^ so that there is, for example, a temperature change within one turn or every change season:: in the second-order temperature change, although the measured change amount is relatively small, the amount of the analysis element at the base temperature of the mud is such that It is possible to stably grasp the amount of the dirty fuel, and it is possible to carry out the transportation used for the incineration of the dewatered sludge, for example, and the manufacturing unit 2G is provided with the ability to calculate the amount of the sludge by the sludge transportation speed. Thereby, the total analysis of the sludge to be transported can be calculated, for example, the total calorific value. 324006 29 201243312 Therefore, when the analysis element amount measuring device according to the embodiment is used to measure the amount of the analysis element of the sludge, for example, when the high calorific value is measured, the following method is used. That is, in the control unit 20, a combination of the regression equation "remembered by the regression memory function" and the wavelength of the selected near-infrared rays is set. The sludge is transported to move in the tubular body 4 of the sludge holding unit 1. In this state, when a command to start measurement is issued from the control unit 2 at an appropriate time, light is irradiated from the illumination unit 2, and reflected light or transmitted light from the sludge is received by the light receiving unit 3. The light received by the light receiving unit 3, that is, the light that has passed through the optical fiber 8 and reaches the light splitting portion 17' is split into light wavelength regions, converted into electric signals due to the intensity of the light, and sent out by controlling the electrospray 18. The circuit in the control unit 20. In the control unit 2, the calculation processing according to the regression equation described above is performed. That is, the absorbance of the sludge is obtained, and the high calorific value can be calculated according to the regression equation obtained by the predetermined attribution wavelength. Here, the temperature correction described above is performed as needed. Since the high calorific value calculated in this way is specified by the wavelength region of the near-infrared rays directly attributed to the high calorific value of the sludge, the amount of the analysis component of the sludge to be measured can be directly measured, and the result can be Improve calculation efficiency and achieve measurement accuracy. That is, by knowing the complex regression analysis of the majority of the analysis element amount of the chemical analysis analysis component and the known sample sludge, first, the first wavelength having a high correlation coefficient is obtained, and then the correlation coefficient is obtained. High 2nd to ηth wavelengths Each wavelength is obtained by complex regression analysis of the absorbance of the sample and the known amount of analytical elements according to chemical analysis, and the absolute value of the correlation coefficient is, for example, 324006 30 201243312. 7 or more districts are decided. When these wavelength regions are used as a single wavelength, the range of analysis factors can be estimated as long as the standard error range of the analysis element amount is widely set. However, the accuracy can be improved by finding the second to nth wavelengths of the correlation coefficient. The same applies to the measurement of the amount of the analysis element other than the high calorific value. Further, if the calculated high calorific value is a temperature-corrected value, the palm can be stably = the shape of the sludge & The high calorific value calculated, for example, can be used to control the amount of fuel used for incineration of dewatered sludge. (4) In this section, the 'sludge holding unit 1 is provided with a hole 2 of the first line of the pipe 4 of the pipe body 5 for transporting the sludge, and the window is calculated in an instant manner. The moving sludge can be u, and the batch can be sure to grasp the state of the transported sludge, and the progress of the fuel can be controlled by, for example, the incineration of dewatered sludge. ·...,. Due to the ink force of the tube 4, the ink force is still not obstructed, and the data can be obtained from the sludge in the (4) hole. The 4A and 4B drawings are divided into κ丨丨主_伟刀别The sludge holding portion (four) and the cross-sectional view of the analysis element 1 of this embodiment are not used. The sludge holding portion 1 is a belt conveyor of the road, the belt, and the sludge 40 (belt c〇) The nveyor 30 is composed of the optical fibers 7, 8 in the middle of the path of the sludge with the transporter 3, because it consists of the 'transporter 30'. The light-receiving portion 2 and the light-receiving light-receiving probe 1G are formed. (4) The needle 1G_ is attached to the wire portion 12, and the mounting portion 12 is placed on the base mud 324006 31 201243312 that is carried (4) to block the light. The lid 32. The sludge holding portion j formed by the belt conveyor 30 can still exhibit the same effects as described above. Next, an embodiment according to the above embodiment will be described. Chemical analysis of the amount of the components in 30 kinds of dewatered sludge, the reference temperature is set to 2 (Tc, adjusted to this base A near-infrared spectroscopy system that irradiates dehydrated sludge with near-infrared rays of 11 to 2200 nm and detects the reflected light by a photodetector to obtain light at each wavelength. The intensity is used for absorbance extraction, noise treatment, secondary differential processing, and for the second differential spectrum and high calorific value, low calorific value, water content, and hydrogen amount, and regression is performed by complex regression analysis. (Example 1) In Example 1, in the calculation of the regression equation of the high calorific value, the first wavelength was selected from the range of 1418 to 1498 nm to prepare i440 nm. The second wavelength was selected from 2158 to 2164 nm; 12, 2162 nm was prepared. The third wavelength λ3 is selected from 1370 to 1392 nm to be 1372 nm. The fourth wavelength λ4' is selected from 1502 to 1516 nm to be 1504 nm. Fig. 9 is a chemical analysis using the regression equation of the high calorific value of this Example 1. A plot of the relationship between the value and the spectral analysis value. As shown in Figure 9, under this condition, the regression coefficient is constructed as K〇=19438. 6 Bu Ki=-399500. 00, K2 = -1464952. 64, K3 = -102432. 58, Κ 4 = -75560 · 21, and the complex correlation coefficient is 0. 965, the standard error becomes 1154. 272 check line. (Example 2) In Example 2, regarding the calculation of the regression equation of the low calorific value, the first wavelength h was selected from 1234 324006 32 201243312 to 1248 nm to prepare 1238 nm. The second wavelength was selected from 1718 to 1736 nm; U was made to be 1726 nm. The third wavelength was selected from 1994 to 2008 nm; U was prepared to be 2002 nm. The 4th wavelength was selected from 2058 to 2066 nm; U was made into 2062 nm. Fig. 10 is a graph showing the relationship between the chemical analysis value and the spectral analysis value calculated by the regression equation for the low calorific value in the second embodiment. As shown in Figure 10, under this condition, the regression coefficient is constructed as K〇=-1223. 83, L = 982305. 99, κ2 = -141170. 16, κ3 = 255168. 71, Κ 4 = -410541. 92, and the complex correlation coefficient is 0. 951, the standard error becomes 446. 359 check line. (Example 3) In Example 3, regarding the calculation of the regression equation of the amount of water, the first wavelength λ! was selected from 1718 to 1732 nm to prepare 1726 nm. The second wavelength λ2 was selected from 2060 to 2068 nm to prepare 2062 nm. The third wavelength λ3 was selected from 2120 to 2160 nm to prepare 2142 nm. The fourth wavelength λ4 was selected from 1394 to 1408 nm to prepare 1394 nm. Fig. 11 is a graph showing the relationship between the chemical analysis value and the spectral analysis value calculated by the regression equation relating to the amount of water in the third embodiment. As shown in Figure 11, under these conditions, the regression coefficients were constructed as Kg=77· 335 and 1L=1518. 19, K2 = 600. 23, K3 = -1357. 24, K4 = 324. 20, and the complex correlation coefficient is 0. 930, the standard error becomes 2. 323 check line. (Example 4) In Example 4, the calculation of the regression equation for the amount of argon was made to have a first wavelength of 1440 nm; I!, 1750 nm was the second wavelength; 12, 1584 nm was the third wavelength λ3, and 1986 nm was the fourth wavelength. ;U. Fig. 12 is a graph showing the relationship between the chemical analysis value and the spectral analysis value calculated by the regression equation for the amount of hydrogen in Example 4 of 324006 33 201243312. As shown in Figure 12, under this condition, the construction regression coefficient is K〇=l. 54, Kf-81. 58, K2 = 144. 07, K3 = -211. 49, K4 = 174. 66, and the complex correlation coefficient is 0. 922, the standard error becomes 0. 420 check line. (Example 5) In Example 5, the calculation of the regression equation for the high calorific value was made such that 1750 nm was the first wavelength for a long time, 2,160 nm was the second wavelength for the second wavelength, and 1390 nm was the third wavelength; and 13,1510 nm was the fourth wavelength. Wavelength; U. Fig. 13 is a graph showing the relationship between the chemical analysis value and the spectral analysis value calculated by the regression equation for the high calorific value in the fifth embodiment. As shown in Figure 13, under this condition, the regression coefficient is constructed as Kd=21380. 59, Κι=452677. 54, K2 = -1365790. 6, Κ 3 = 155574. 9, Κ 4 = -214934. 3, and the complex correlation coefficient is 0. 963, the standard error becomes 1195. 789 check line. (Example 6) In Example 6, the calculation of the regression equation of the low calorific value was made to be 1668 nm as the first wavelength λ 1, 1726 nm as the second wavelength human 2, 2002 nm as the third wavelength, and 13, 2062 nm as the fourth Wavelength; U. Fig. 14 is a graph showing the relationship between the chemical analysis value and the spectral analysis value calculated by the regression equation for the low calorific value in the sixth embodiment. As shown in Figure 14, under this condition, the regression coefficient is constructed as K〇=-2139. 80, 1 = 171764. 30, K2 = -141741. 66, Κ 3 = 306325. 42, Κ 4 = -303717. 60, and the number of complex relationships is 0. 967, the standard error becomes 369. 070 check line. (Example 7) 324006 34 201243312 In the seventh embodiment, the regression equation for the amount of moisture is calculated such that 2014 nm is the first wavelength λ 丨, 2064 nm is the second wavelength λ 2 , 1730 nm is the third wavelength λ 3 , and 1396 nm is the first. 4 wavelengths; U. Fig. 15 is a graph showing the relationship between the chemical analysis value and the spectral analysis value calculated by the regression equation relating to the amount of water in the seventh embodiment. As shown in Figure 15, under this condition, the regression coefficient is constructed to be 1 ((^79. 93 11=-2660. 45 12=2853. 30, Κ 3 = 693 · 5 Bu K4 = 104. 14, and the complex correlation coefficient is 0. 928, the standard error becomes 2. 354 check line. (Example 8) In the eighth embodiment, the calculation of the regression equation of the amount of hydrogen is performed such that 1748 nm is the first wavelength; I!, 2162 nm is the second wavelength λ2, 1388 nm is the third wavelength λ3, and 1988 nm is the fourth wavelength λ4. . Fig. 16 is a graph showing the relationship between the chemical analysis value and the spectral analysis value calculated by the regression equation relating to the amount of hydrogen in the eighth embodiment. As shown in Figure 16, under this condition, the construction regression coefficient is Κπ4. 54, 1 = 56. 78, Κ 2 = -279. 66, Κ 3 = 46. 99, Κ 4 = 170. 61, and the complex correlation coefficient is 0. 967, the standard error becomes 0. 278 check line. Next, an experimental example will be described. (Experimental Example 1) In the first experimental example, the regression equations (calibration lines) of Examples 5 to 8 which were obtained for the above-described high calorific value, low calorific value, amount of water, and amount of hydrogen were used to carry out the components. The determination of the amount of dewatered sludge is unknown, and the specific components of the dewatered sludge are chemically analyzed and compared. Figure 17 is a table showing the results. It can be seen from Fig. 17 that the correlation coefficient of high calorific value is 324006 35 201243312 0. 930, standard error 1172. 8, the correlation coefficient of low calorific value is 0. 920, standard error 460. 6, the correlation coefficient of water content is 0. 930, standard error 3. 0, the correlation coefficient of hydrogen is 0. 976, standard error 0. As a result of 2, any of the high calorific value, the low calorific value, the amount of water, and the amount of hydrogen are both high correlation coefficient, and the standard deviation (SEP) also shows a low value, and the certificate of the superior is obtained. (Experimental Example 2) In Experimental Example 2, the low calorific value Hu is based on, for example, a sewage treatment method, using a high calorific value HuB, a water content W«), and a hydrogen amount h (%) according to the following formula (3) It is used after calculation. [Equation 7] ^=...(3) 100 100 In the experimental example 2, when the low calorific value is directly measured by near-infrared spectroscopy, the sewer sewage treatment is used as the value of the high calorific value, the amount of water, and the amount of hydrogen. The chemical analysis values of the results calculated by the method are compared. Figure 18 is a diagram showing the results. From Figure 18, it is found that the correlation coefficient becomes 0. 906, the standard error becomes 498. 0, it can be known that the direct measurement method is a fact that can be correctly measured. (Experimental Example 3) In Experimental Example 3, the difference between the temperature-corrected value (measured value) and the temperature-corrected value was examined for the high calorific value. Generally, when the field is carried out, the ambient temperature is not necessarily the case, and the kinetic energy of the molecules of the substance also changes. In this case, as measured by near-infrared spectroscopy, 324006 36 201243312 疋' although the amount of change in the measurement is relatively small, but for example, using the above formula (2) to apply temperature correction, it is possible to obtain at the reference temperature. Measured value. Specifically, for example, in the case of a high calorific value, if the equation is solved by the least quadratic method to obtain the coefficients of a and b, a=u 6〇9 and b=-307·31 are obtained. The amount of change in the high calorific value caused by the temperature change. This temperature correction formula is used to apply temperature correction for a high calorific value. Figure 19 is a graph showing the temperature of the sludge and the high calorific value before the temperature correction (measured value) and the temperature corrected value, and the second graph shows the temperature and calorific value of the dewatered sludge. A graph showing the relationship between the fixed values and Fig. 21 is a graph showing the relationship between the amount of change in the temperature of the dehydrated sludge and the amount of change in the measured value of the dehydrated sludge. According to the embodiment described above, at least one of the analysis elements for the high calorific value, low calorific value, moisture amount, ash amount, sulfur content, nitrogen amount 'or carbon amount of the relevant sludge can be found. By measuring the wavelength region of the near-infrared rays directly in the wavelength range, and using the wavelength region to measure the amount of the analysis element, the amount of the analysis element such as the calorific value of the sludge to be measured can be directly measured, and the calculation efficiency can be improved and the measurement accuracy can be improved. In addition, in the case of a high calorific value and a low calorific value, since the values of the amount of water, the amount of ash, the amount of sulfur, the amount of hydrogen, or the amount of carbon are known, calculation can be performed, so that each analysis can be utilized. Check the amount of the element and improve the accuracy of the measurement. As a result, the measurement data can be used to grasp the state of the sludge, and as a result, it is possible to surely control the amount of fuel used, for example, in the incineration of the dewatered sludge. In addition, feedback control is performed on the relationship between the change in the total calorific value of the sludge and the amount of fuel used in the furnace, and the total amount of heat generated by the furnace feed is 324006 37 201243312. Therefore, pre-authorization control is also possible. The embodiments of the present invention have been described in detail above, but the present invention is not limited to the above-described embodiments, and various modifications can be made in accordance with the technical idea of the present invention. For example, the numerical values given in one of the above embodiments are only one example, and a numerical value different from this may be employed as needed. In one of the above embodiments, the reflected light from the sludge is measured in the measurement of the amount of the analysis element, but it is not limited to this, and the light may be transmitted after the light is transmitted depending on the nature of the sludge. Change it. Further, in the regression equation of the embodiment, although the high calorific value and the low calorific value are set to J/g, the amount of moisture is made into the weight %_WB »hydrogen amount and other system weight %-DB, but it is not necessary It is limited to such a method, and the unit of the analysis element amount C may be set to any method as long as it conforms to the relationship of the suggested formula. In the present invention, the specific method of calculating the low calorific value is carried out by the method of calculating the regulations according to the sewage sewer test method, but it is possible to cope with any calculation method such as the Japanese Industrial Standard (JIS). BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 is a view showing the configuration of an analytical factor measuring device using a sludge according to an embodiment of the present invention. Fig. 2A is a front view of a sludge holding unit of an analytical factor measuring device for sludge according to an embodiment of the present invention. Fig. 2B is a side cross-sectional view showing a sludge holding portion of the analysis element amount measuring device of the sludge according to the embodiment of the present invention. 324006 38 201243312 Fig. 3 is a view showing a connection state of a communication unit of a control unit in the analysis factor measurement device of the sludge according to the embodiment of the present invention. Fig. 4A is a perspective view showing another example of the sludge holding unit of the analysis element amount measuring device of the sludge according to the embodiment of the present invention. Fig. 4B is a cross-sectional view taken along line X-X of another example of the sludge holding portion of the analytical element amount measuring device of the embodiment of the present invention in Fig. 4A. Fig. 5 is a graph showing the correlation between the analysis value used for the first wavelength λ! of the regression equation for the high calorific value and the wavelength of the near infrared ray in the method for measuring the amount of the analysis element according to the embodiment of the present invention. Figure. Fig. 6 is a graph showing the correlation between the analysis value used for the first wavelength of the regression equation of the low calorific value and the wavelength of the near infrared ray in the method for measuring the amount of the analysis element according to the embodiment of the present invention. Fig. 7 is a diagram showing the correlation between the analysis value used in the first wavelength of the regression equation for the water content and the wavelength of the near-infrared rays in the method for measuring the amount of the analysis element according to the embodiment of the present invention. Graph. Fig. 8 is a graph showing the correlation between the analysis value used for the first wavelength λι of the regression equation of the hydrogen amount and the wavelength of the near-infrared rays in the method for measuring the amount of the analysis component according to the embodiment of the present invention. Fig. 9 is a graph showing the relationship between the chemical analysis value and the spectroanalysis value of the regression equation for the high calorific value in the first embodiment of the present invention. Fig. 10 is a graph showing the relationship between the chemical analysis value and the spectral analysis value of the regression formula of the low calorific value in the second embodiment of the present invention. 39 324006 201243312 Fig. 11 is a graph showing the relationship between the chemical analysis value and the spectral analysis value of the regression equation for the amount of water in Example 3 of the present invention. Fig. 12 is a graph showing the relationship between the chemical analysis value and the spectral analysis value of the regression equation for the amount of hydrogen in Example 4 of the present invention. Fig. 13 is a graph showing the relationship between the chemical analysis value and the spectral analysis value of the regression equation for the high calorific value in the fifth embodiment of the present invention. Fig. 14 is a graph showing the relationship between the chemical analysis value and the spectral analysis value of the regression formula of the low calorific value in Example 6 of the present invention. Fig. 15 is a graph showing the relationship between the chemical analysis value and the spectral analysis value of the regression equation for the amount of moisture in Example 7 of the present invention. Fig. 16 is a graph showing the relationship between the chemical analysis value and the spectral analysis value of the regression equation for the amount of hydrogen in Example 8 of the present invention. Fig. 17 is an experimental example 1, showing that the amount of components measured by the regression equations (calibration lines) of Examples 5 to 8 obtained by using the high calorific value, the low calorific value, the amount of moisture, and the amount of hydrogen is unknown. The value of the dewatered sludge is compared with the value of the component amount measured by chemical analysis for the dewatered sludge. Fig. 18 is a graph showing the value of the dehydrated sludge in which the component amount measured by the regression equation (calibration line) of Example 6 obtained by using the low calorific value is unknown, and the high calorific value measured from the individual. The value of the amount of water and the amount of hydrogen is a comparison table of the values calculated by the sewer treatment method. Fig. 19 is a graph showing Experimental Example 3, which shows the values before the temperature correction (measured value) and the temperature-corrected value with respect to the temperature of the sludge and the high heat generation value. 324006 40 201243312 Fig. 20 is a graph showing the relationship between the dewatered sludge temperature and the measured value of calorific value in Experimental Example 3. Fig. 21 is a graph showing the relationship between the amount of change in the dewatered sludge temperature and the amount of change in the measured value of the dehydrated sludge high calorific value with respect to Experimental Example 3. [Description of main component symbols] 1 Slurry holding unit 2 Illuminating unit 3 Light receiving unit 4 Tube body 5 Window hole 6 Press block 7, 8 Optical fiber 10 Photodetector 11 Fiber joint portion 12 Mounting portion 13 Cover 15 Light source box 16, 18 Control cable 17 Beam splitter 19 Temperature sensor 20 Control section 21 Display section 22 Camera section 23 Communication section 24 Terminal machine 30 Carrier 31 Base 32 Cover 40 Sludge 324006 41