CN119557815A - A sewage detection data aggregation and analysis early warning method - Google Patents
A sewage detection data aggregation and analysis early warning method Download PDFInfo
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Abstract
The invention relates to the technical field of electronic digital data processing, in particular to a sewage detection data gathering and analysis early warning method which comprises the steps of S1, carrying out area division, processing to obtain environment characteristic values of all target areas, and deploying sewage detection points, S2, obtaining a toxic metabolite content evaluation reference index of the sewage detection points of all target areas according to the environment characteristic values of all target areas, S3, obtaining sewage detection data and equipment operation data of all the sewage detection points of all the target areas, S4, processing to obtain equipment operation abnormal risk evaluation values of all the sewage detection points of all the target areas, and carrying out threshold matching, S5, processing to obtain toxic metabolite evaluation parameters of all the sewage detection points of all the target areas, and carrying out evaluation early warning on all the target areas.
Description
Technical Field
The invention relates to the technical field of electronic digital data processing, in particular to a sewage detection data aggregation and analysis early warning method.
Background
Abuse of toxic substances has become a global problem and constitutes a serious threat to human health and social public safety. In order to effectively monitor and evaluate the toxicity, advanced technological means are adopted in various countries. Sewage toxicity analysis has gained widespread attention and application in recent years as a non-invasive monitoring method. However, existing methods for analyzing sewage toxicity still have many challenges in terms of data collection, processing and analysis. Therefore, it is important to develop an efficient and accurate sewage detection data gathering and analysis early warning method.
For example, the invention patent with publication number CN117312617B is a real-time sewage treatment method and system based on sewage data monitoring, comprising the steps of obtaining local segmentation, first sewage monitoring real-time data and adjacent sewage monitoring real-time data, obtaining the noise receiving degree of the sewage monitoring real-time data according to the local segmentation, obtaining the abnormal coefficient of the data type, obtaining the adjusted K neighborhood distance of the first sewage monitoring real-time data, carrying out abnormal detection on the first sewage monitoring real-time data and the adjacent sewage monitoring real-time data, obtaining local outlier factors, marking the abnormal sewage data according to the local outlier factors, and realizing the monitoring of the real-time sewage treatment.
The invention patent with the bulletin number of CN118709065B is a sewage treatment abnormality detection and early warning system based on big data analysis, and comprises a data analysis module, a data processing module, a parameter acquisition module and an abnormality detection module, wherein the data analysis module is used for dividing a plurality of acquired data indexes in a preset period into at least one category, the data processing module is used for constructing a scatter diagram aiming at any category, acquiring an initial K value of a KNN algorithm, acquiring the abnormality degree of each data point in the scatter diagram according to the initial K value, the parameter acquisition module is used for acquiring an abnormal point according to the abnormality degree of each data point, and acquiring the optimal K value of each data point in the scatter diagram according to the abnormal point and the initial K value in a self-adapting mode, and the abnormality detection module is used for detecting the data point of each category by applying the optimal K value in the KNN algorithm to finish abnormality early warning of sewage treatment. Under the optimal K value, the interference generated by the data deviation point in the KNN algorithm operation process is eliminated, and the accuracy rate of data point detection is improved.
However, in the process of realizing the technical scheme of the embodiment of the application, the technical problems of limited data processing and analysis capability, low integration level and automation degree, insufficient emergency response plan and limited efficiency and accuracy of the early warning system caused by the lack of the capability of rapidly coping with pollution events of the existing sewage detection data analysis early warning system are at least found in the technology.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a sewage detection data aggregation and analysis early warning method, which can effectively solve the problems related to the background art.
S1, dividing a sewage detection area into areas, marking the areas as target areas, acquiring basic data of the target areas, processing the basic data to obtain environmental characteristic values of the target areas, deploying sewage detection points according to the environmental characteristic values of the target areas, and marking the areas as the sewage detection points of the target areas.
S2, matching according to the environmental characteristic values of the target areas to obtain the toxic metabolite content evaluation reference index of the sewage detection points of the target areas.
S3, acquiring sewage detection data of each sewage detection point in each target area and equipment operation data of each sewage detection point in each target area.
S4, processing according to the environment characteristic values of the target areas and the equipment operation data of the sewage detection points of the target areas to obtain equipment operation abnormal risk evaluation values of the sewage detection points of the target areas, and correcting toxic metabolite content evaluation reference indexes of the sewage detection points of the target areas according to the equipment operation abnormal risk evaluation values of the sewage detection points of the target areas to obtain toxic metabolite content evaluation thresholds of the sewage detection points of the target areas.
S5, according to sewage detection data of each sewage detection point in each target area, processing to obtain a toxic metabolic substance evaluation parameter of each sewage detection point in each target area, according to a toxic metabolic substance content evaluation threshold value of each sewage detection point in each target area and a toxic metabolic substance evaluation parameter of each sewage detection point in each target area, evaluating and early warning each target area, obtaining sewage detection historical data of each sewage detection point in each target area, according to an equipment operation abnormal risk evaluation value of each sewage detection point in each target area, comprehensively analyzing to obtain a detection effect evaluation index of each sewage detection point in each target area, and feeding back early warning effects.
The method is characterized in that the processed environment characteristic values of all the target areas are obtained, and the specific process is that basic data of all the target areas comprise the altitude and the terrain gradient of all the environment monitoring points, the number of residential areas in all the target areas and the population density of all the residential areas in all the target areas.
And extracting the average altitude, the average terrain gradient, the number of critical residential areas and the population density of the critical residential areas of the sewage detection area from the regional sewage detection system database.
According to the basic data of each target area, processing to obtain environmental characteristic values of each target area, wherein the environmental characteristic values of each target area are used for quantitatively evaluating the influence degree of the environmental basic characteristics of each target area on area sewage collection and toxic substance metabolism in sewage, and providing basis for matching to obtain the evaluation reference index of the toxic metabolic substance content of the sewage detection point of each target area.
The specific process is that a first threshold value and a second threshold value of the regional environmental characteristics are extracted from a regional sewage detection system database, the environmental characteristic values of the target regions are compared with the first threshold value and the second threshold value of the regional environmental characteristics, and if the environmental characteristic values of the target regions are higher than or equal to the first threshold value of the regional environmental characteristics, the target regions are marked as high pollution regions.
And if the target area environment characteristic value is higher than the area environment characteristic second threshold value and lower than the first threshold value, marking the target area as a medium pollution area.
And if the target area environment characteristic value is lower than or equal to the area environment characteristic second threshold value, marking the target area as a low pollution area.
And respectively deploying corresponding sewage detection points for the high, medium and low pollution areas, and marking the sewage detection points as the sewage detection points of the target areas.
The method comprises the specific matching process of extracting a mapping set between the environmental characteristic value of each target area and the toxic metabolic substance content evaluation reference index of each target area sewage detection point from an area sewage detection system database.
Inputting a real-time target area environment characteristic value, and obtaining a corresponding sewage detection point toxic metabolite content evaluation reference index according to the mapping set.
The method comprises the steps of obtaining equipment operation abnormal risk assessment values of all sewage detection points in all target areas through processing, wherein the specific process comprises the steps of enabling equipment operation data of all the sewage detection points in all the target areas to comprise operation time of equipment, failure times of the equipment, data transmission rate of the equipment and response time of the equipment in a preset monitoring period.
And extracting critical equipment operation time, critical equipment failure times, critical equipment data transmission rate and critical equipment response time from the regional sewage detection system database.
And comprehensively processing according to the environmental characteristic values of the target areas and the equipment operation data of the sewage detection points of the target areas to obtain equipment operation abnormal risk assessment values of the sewage detection points of the target areas.
The method comprises the specific steps of obtaining a toxic metabolite content assessment threshold value of each sewage detection point of each target area by matching the toxic metabolite content correction value of each sewage detection point of each target area from a regional sewage detection system database according to the equipment operation abnormal risk assessment value of each sewage detection point of each target area.
And carrying out summation operation on the toxic metabolite content evaluation reference indexes of the sewage detection points of each target area and the toxic metabolite content correction values of the sewage detection points of each target area to obtain toxic metabolite content evaluation thresholds of the sewage detection points of each target area.
As a further method, the treatment is carried out to obtain the evaluation parameters of the toxic metabolic substances at each sewage detection point in each target area, and the specific process is that the concentration of each toxic metabolic substance at each sewage detection point is in a preset monitoring period.
And extracting various toxic metabolic substances from the regional sewage detection system database to obtain the critical concentration of various toxic metabolic substances.
According to the sewage detection data of each sewage detection point of each target area, processing to obtain toxic metabolic substance evaluation parameters of each sewage detection point of each target area, wherein the toxic metabolic substance evaluation parameters of each sewage detection point of each target area are used for quantitatively evaluating the toxic metabolic substance content of each sewage detection point of each target area, and providing basis for risk early warning of the target area.
The method comprises the specific steps of comparing the toxic metabolite content evaluation threshold value of each sewage detection point of each target area with the toxic metabolite evaluation parameter of each sewage detection point of each target area, marking the sewage detection point as a high pollution detection point if the toxic metabolite content evaluation threshold value of one sewage detection point of the target area is higher than or equal to the toxic metabolite content evaluation threshold value of the sewage detection point of the target area, and marking the sewage detection point as a low pollution detection point if the toxic metabolite content evaluation parameter of one sewage detection point of the target area is lower than the toxic metabolite content evaluation threshold value of the sewage detection point of the target area.
Counting each high pollution detection point in each target area for early warning.
As a further method, the equipment operation abnormality risk assessment value of each sewage detection point in each target area is quantitative assessment data obtained by comprehensively analyzing each time of operation of equipment, the number of times of faults of equipment, the data transmission rate of equipment and the response time of equipment, and is used for quantitatively assessing the risk degree of equipment operation abnormality of each sewage detection point in each target area, so that basis is provided for risk early warning of the target area.
As a further method, the specific numerical expression of the environmental characteristic value of each target area is:
;
In the formula, An n-th target area environment characteristic value is represented, n represents the number of each target area,M represents the total number of target areas,The altitude of the ith environmental monitoring point of the nth target area is represented, i represents the number of each environmental monitoring point,H represents the total number of environmental monitoring points,Representing the slope of the terrain at the ith environmental monitoring point of the nth target area,Indicating the number of residential areas within the nth target area,Represents population density of the q-th residential area in the n-th target area, q represents the number of each residential area,P represents the total number of residential areas,Representing the average altitude of the sewage detection area,Indicating the average terrain gradient of the sewage detection zone,The number of critical residential areas is represented,Representing the population density of the critical populated area.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
(1) According to the invention, by providing the sewage detection data gathering and analysis early warning method, the high-pollution sewage detection point of the target area is accurately identified, and the risk early warning and the high-efficiency treatment are carried out on the high-pollution sewage detection point, so that the pollution of sewage and toxic substances to the environment is reduced, the influence of the sewage and the toxic substances on the life of residents is reduced, the public health is protected, and the sustainable development of the area is further promoted.
(2) The invention can help identify the high risk area of the target area, help guide the deployment of the sewage detection points of the area, and also help the environmental management department to make a more accurate management strategy by comprehensively analyzing the altitude, the terrain gradient, the number of residential areas and population density of the residential areas, thereby improving the decision-making efficiency. Environmental changes can be found in time, and management measures can be adjusted.
(3) The risk early warning system can be built by comprehensively analyzing each running time, fault times, data transmission rate and response time of the equipment, and timely finding out abnormal conditions of the equipment and taking measures. The method is beneficial to making a reasonable maintenance plan, ensures that the equipment operates in an optimal state, and reduces faults and downtime. The method can also help identify performance bottlenecks, guide optimization of equipment or processes, and improve overall efficiency, so that the service life of the equipment is prolonged, and the overall possession cost is reduced.
(4) The invention can help identify specific pollution sources by monitoring the concentration of toxic metabolic substances at different sewage detection points, and is also helpful for evaluating the potential influence of the specific pollution sources on the peripheral ecological system and public health. The risk classification of the regional sewage detection points can be guided, and the regions with higher risks are preferentially treated. And the method can also help to guide the establishment of an emergency response plan and take measures to reduce pollution diffusion.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a schematic flow chart of the method of the present invention.
Fig. 2 is a service flow chart according to an embodiment of the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments, and all other embodiments obtained by those skilled in the art without making creative efforts based on the embodiments of the present invention are included in the protection scope of the present invention.
Referring to FIG. 1, the invention provides a sewage detection data aggregation and analysis early warning method, which comprises the steps of S1, dividing a sewage detection area into areas, marking the areas as target areas, acquiring basic data of the target areas, processing the basic data to obtain environment characteristic values of the target areas, deploying sewage detection points according to the environment characteristic values of the target areas, and marking the areas as the sewage detection points of the target areas.
The method comprises the steps of obtaining environment characteristic values of all target areas through processing, wherein the basic data of all the target areas comprise the altitude and the terrain gradient of all the environment monitoring points, the number of residential areas in all the target areas and the population density of all the residential areas in all the target areas.
It should be explained that the slope of the terrain of the environmental monitoring point refers to the inclination degree of the ground surface where the monitoring point is located, and specifically is the ratio of the height change (i.e. vertical distance) of the ground surface to the horizontal distance.
It should be noted that the altitude of the region may be obtained by satellite remote sensing techniques, such as global positioning system or elevation data in a geographic information system. Accurate terrain gradient data can be obtained through equipment such as field measurement and a topographer.
And extracting the average altitude, the average terrain gradient, the number of critical residential areas and the population density of the critical residential areas of the sewage detection area from the regional sewage detection system database.
According to basic data of each target area, processing to obtain environmental characteristic values of each target area, wherein the environmental characteristic values of each target area are used for quantitatively evaluating the influence degree of the environmental basic characteristics of each target area on area sewage collection and toxic substance metabolism in sewage, and providing basis for matching to obtain evaluation reference indexes of the content of toxic metabolic substances in detection points of sewage of each target area, and the toxic metabolic substances comprise heavy metal compounds such as chromium, cadmium, nickel, zinc, copper, gold and silver, cyanide hydrogen sulfide, methane, ammonia, carbon dioxide and other compounds which have adverse effects on animals and plants.
In a specific embodiment, the numerical expression of the environmental characteristic value of each target area is:
;
In the formula, An n-th target area environment characteristic value is represented, n represents the number of each target area,M represents the total number of target areas,The altitude of the ith environmental monitoring point of the nth target area is represented, i represents the number of each environmental monitoring point,H represents the total number of environmental monitoring points,Representing the slope of the terrain at the ith environmental monitoring point of the nth target area,Indicating the number of residential areas within the nth target area,Represents population density of the q-th residential area in the n-th target area, q represents the number of each residential area,P represents the total number of residential areas,Representing the average altitude of the sewage detection area,Indicating the average terrain gradient of the sewage detection zone,The number of critical residential areas is represented,Representing the population density of the critical populated area.
It should be explained that, when the altitude and the slope of the terrain are lower, the number of residential areas is larger, and the population density is denser, the corresponding environmental characteristic value of the target area is larger, which indicates that the environmental basic characteristic of the target area has a larger influence degree on regional sewage collection and toxic substance metabolism in sewage.
It should be explained that the terrain gradient is often related to the change in altitude. For example, in mountainous areas, the gradient is generally larger where the altitude varies greatly. The slope of the terrain may affect the number of populated areas. Generally, areas with a large gradient are unfavorable for construction, and thus the number of residential areas may be small. Altitude may also affect the number of populated areas. The number of residential areas is small due to the factors of climate, traffic and the like in the high-altitude area. The number of communities and population density are related, but the relationship between them depends on the size of each community. Altitude and terrain slope may indirectly affect populated area population density. Generally, flatter and moderately elevated areas are more suitable for living and thus may have a higher population density.
It should be explained that the low-lying area, i.e., the area having an altitude lower than the average altitude of the area and a slope lower than the average terrain slope of the area is likely to accumulate water, and thus sewage and rainwater are likely to collect. Analyzing the target area altitude and terrain slope helps identify which areas may be high risk areas for sewage pooling. In areas with dense residential areas and high population density, the sewage generation amount is large, and if a drainage system is imperfect, the sewage collection problem is more serious. By analyzing the number of residential areas and population density, the sewage generation amount can be predicted, so that the scale and the position of sewage treatment facilities can be reasonably planned. By combining the altitude and the terrain gradient, the design of a sewage pipe network can be optimized, and the risks of sewage collection and overflow are reduced. Areas of dense population may use more chemicals, producing more industrial and life-threatening substances. These materials may enter the environment through sewage discharge. Altitude and terrain gradient can affect the migration and diffusion of toxic substances. For example, contaminants may accumulate in low lying areas or rapidly flow downstream in highly sloped areas.
It should be explained that, in this embodiment, through comprehensive analysis of the altitude, the terrain gradient, the number of residential areas and population density of residential areas, the method can help identify the high risk area of the target area, help guide the deployment of the sewage detection points of the area, and also help the environmental management department to make a more accurate management strategy, thereby improving the decision-making efficiency. Environmental changes can be found in time, and management measures can be adjusted. Thereby being beneficial to reducing the pollution of sewage and toxic substances to the environment, reducing the influence of the sewage and the toxic substances to the life of residents and protecting public health.
Further, disposing sewage detection points according to the environmental characteristic values of all target areas and marking the sewage detection points as all the target areas, wherein the specific process is that a first threshold value and a second threshold value of the environmental characteristic of the area are extracted from an area sewage detection system database, the environmental characteristic values of all the target areas are compared with the first threshold value and the second threshold value of the environmental characteristic of the area, and if the environmental characteristic value of the target areas is higher than or equal to the first threshold value of the environmental characteristic of the area, the target areas are marked as high pollution areas.
And if the target area environment characteristic value is higher than the area environment characteristic second threshold value and lower than the first threshold value, marking the target area as a medium pollution area.
And if the target area environment characteristic value is lower than or equal to the area environment characteristic second threshold value, marking the target area as a low pollution area.
And respectively deploying corresponding sewage detection points for the high, medium and low pollution areas, and marking the sewage detection points as the sewage detection points of the target areas.
In one particular embodiment, 20 wastewater detection points may be deployed to a highly contaminated area.
S2, matching according to the environmental characteristic values of the target areas to obtain the toxic metabolite content evaluation reference index of the sewage detection points of the target areas.
The specific matching process is that a mapping set between the environment characteristic value of each target area and the toxic metabolic substance content evaluation reference index of each target area sewage detection point is extracted from an area sewage detection system database.
Inputting a real-time target area environment characteristic value, and obtaining a corresponding sewage detection point toxic metabolite content evaluation reference index according to the mapping set.
It should be noted that, the mapping relationship of the mapping set is a one-to-one correspondence relationship.
S3, acquiring sewage detection data of each sewage detection point in each target area and equipment operation data of each sewage detection point in each target area.
The sewage detection data of each sewage detection point in each target area comprises various toxic metabolite concentrations of each sewage detection point in a preset monitoring period.
The equipment operation data of each sewage detection point in each target area comprises each operation time of equipment, the failure times of the equipment, the data transmission rate of the equipment and the response time of the equipment in a preset monitoring period.
It should be explained that, each running time of the device in this embodiment refers to each continuous normal running time of the device in a preset monitoring period. The data transmission rate of a device refers to the speed at which the device transmits data. The response time of a device refers to the time required from when the device receives a detection request to when the device completes the request and gives feedback.
It should be explained that the running time of the device can be recorded in real time by detecting a timer or a log function built in the device. The number of failures of the device may be tracked by maintaining a log or service record. The data transmission rate of the device may be measured using a network monitoring tool. The data transmission rate may also be obtained by a performance test function or third party test software that is self-contained in the device. The system log may record the response time of the device. The response time of the device may also be detected in real time or periodically using a performance monitoring tool.
It should be added that in this embodiment, one sewage detection point corresponds to one detection device.
S4, processing according to the environment characteristic values of the target areas and the equipment operation data of the sewage detection points of the target areas to obtain equipment operation abnormal risk evaluation values of the sewage detection points of the target areas, and correcting toxic metabolite content evaluation reference indexes of the sewage detection points of the target areas according to the equipment operation abnormal risk evaluation values of the sewage detection points of the target areas to obtain toxic metabolite content evaluation thresholds of the sewage detection points of the target areas.
Specifically, the equipment operation abnormal risk assessment value of each sewage detection point in each target area is obtained through processing, and the specific process is that critical equipment operation time, critical equipment failure times, critical equipment data transmission rate and critical equipment response time are extracted from an area sewage detection system database.
According to the environment characteristic values of all target areas and the equipment operation data of all sewage detection points of all target areas, comprehensively processing to obtain equipment operation abnormality risk assessment values of all sewage detection points of all target areas, wherein the equipment operation abnormality risk assessment values of all sewage detection points of all target areas are used for quantitatively assessing the risk degree of equipment operation abnormality of all sewage detection points of all target areas, and providing basis for risk early warning of the target areas.
In a specific embodiment, the numerical expression of the equipment operation abnormal risk assessment value of each sewage detection point in each target area is:
;
In the formula, An equipment operation abnormality risk evaluation value indicating an nth sewage detection point of an nth target area,An n-th target area environment characteristic value is represented, s represents the number of each sewage detection point,R represents the total number of sewage detection points, t represents a time variable,,The current point in time is indicated and,Indicating the point in time at which the monitoring is to begin,Represents the kth running time of the equipment of the nth sewage detection point in the nth target area, k represents the number of running times of the equipment,G represents the total number of times the device is operated,Indicating the number of faults of the s sewage detection point equipment in the n-th target area in a preset monitoring period,Representing the data transmission rate of the nth sewage detection point equipment in the nth target area at the time t,Representing the response time of the nth sewage detection point device in the nth target area at the moment t,Indicating the critical device run-time period,Indicating the number of critical equipment failures,Indicating the critical device data transfer rate,Indicating the critical device response time and,And representing the abnormal risk correction factors of the operation of the target area equipment corresponding to the preset target area environment characteristic values.
It should be explained that, the shorter the running time of the device, the more the number of faults of the device, the slower the data transmission rate of the device, and the longer the response time of the device, the larger the corresponding risk assessment value of abnormal running of the device, which indicates that the greater the risk degree of abnormal running of the device.
It should be noted that in this embodimentAnd the numerical value of the correction factor represents the influence degree of the target area environment characteristic value on the abnormal running risk of the target area detection equipment, and the correction factor can be directly obtained from an area sewage detection system database when the correction factor is used. The value of the correction factor is preset in the regional sewage detection system database, and the target regional environment characteristic value and the correction factor preset in the regional sewage detection system database form a mapping set. For example, inputting the real-time environmental characteristic value of the target area into the mapping set to obtain the corresponding abnormal risk correction factor of the target area equipment. The mapping relationship may be one-to-one or many-to-one. The value range of the correction factor is between 0 and 1, and the degree from no influence to the maximum influence is shown.
It should be explained that the longer the normal operation time of the device, the fewer the number of failures of the device in a preset detection period. The data transmission rate of the device is fast, and the waiting time of data processing can be reduced theoretically, so that the response time is reduced. The response time of the equipment is short, which means that the system has high data processing speed and good user experience. The fewer the number of failures of the device, the longer the run time, indicating that the more stable the system, the shorter the response time. If the device frequently fails, data transmission may be affected, resulting in an increase in response time.
It should be explained that, in this embodiment, by comprehensively analyzing each running time of the device, the number of faults of the device, the data transmission rate of the device, and the response time of the device, the risk early warning system can be built, and abnormal situations of the device can be found in time and measures can be taken. The method is beneficial to making a reasonable maintenance plan, ensures that the equipment operates in an optimal state, and reduces faults and downtime. And the method can also help to identify performance bottlenecks, guide the optimization of equipment or processes and improve the overall efficiency. Preventive maintenance can also be directed to help reduce emergency maintenance costs and extend equipment life.
Further, according to the equipment operation abnormal risk assessment value of each sewage detection point of each target area, correcting the toxic metabolic substance content assessment reference index of each sewage detection point of each target area to obtain the toxic metabolic substance content assessment threshold value of each sewage detection point of each target area.
And carrying out summation operation on the toxic metabolite content evaluation reference indexes of the sewage detection points of each target area and the toxic metabolite content correction values of the sewage detection points of each target area to obtain toxic metabolite content evaluation thresholds of the sewage detection points of each target area.
S5, according to sewage detection data of each sewage detection point in each target area, processing to obtain a toxic metabolic substance evaluation parameter of each sewage detection point in each target area, according to a toxic metabolic substance content evaluation threshold value of each sewage detection point in each target area and a toxic metabolic substance evaluation parameter of each sewage detection point in each target area, evaluating and early warning each target area, obtaining sewage detection historical data of each sewage detection point in each target area, according to an equipment operation abnormal risk evaluation value of each sewage detection point in each target area, comprehensively analyzing to obtain a detection effect evaluation index of each sewage detection point in each target area, and feeding back early warning effects.
Specifically, the toxic metabolic substance evaluation parameters of each sewage detection point in each target area are obtained through treatment, and the specific process is that the critical concentrations of various toxic metabolic substances are extracted from a regional sewage detection system database.
According to the sewage detection data of each sewage detection point of each target area, processing to obtain toxic metabolic substance evaluation parameters of each sewage detection point of each target area, wherein the toxic metabolic substance evaluation parameters of each sewage detection point of each target area are used for quantitatively evaluating the toxic metabolic substance content of each sewage detection point of each target area, and providing basis for risk early warning of the target area.
In a specific embodiment, the numerical expression of the toxic metabolic substance evaluation parameter of each sewage detection point in each target area is:
;
In the formula, Represents the evaluation parameter of toxic metabolic substances at the s-th sewage detection point of the n-th target area, e represents a natural constant,The concentration of the y-th toxic metabolic substance of the s-th sewage detection point in the n-th target area is represented, y represents the number of each toxic metabolic substance,X represents the total number of toxic metabolites,Represents the critical concentration of the y toxic metabolic substance,And the content of toxic metabolic substances corresponding to the preset concentration of the y-th toxic metabolic substances is expressed to influence the characteristic factors.
It should be added that, in sewage toxicity monitoring, although the total amount of toxic metabolites can be theoretically obtained by simply adding the contents of toxic substances, in practice, it is a more accurate and scientific method to weight the contents of each toxic metabolite and design a formula to dequantize. Some toxic metabolites are more stable in sewage, and some toxic metabolites may be rapidly reduced due to adsorption, degradation and the like. Meanwhile, the importance degree of different toxic metabolic substances in sewage toxicity monitoring is different. By designing different weights for each toxic metabolic substance, the actual concentration and relative importance of the toxic metabolic substances in sewage can be reflected more accurately, for example, polychlorinated biphenyl can remain in natural water for a long time and is difficult to be biodegraded, so the weight is set to be 0.8.
It should be explained that, when the concentration of various toxic metabolites at the sewage detection point is higher, the corresponding evaluation parameter of toxic metabolites at the sewage detection point is larger, which indicates that the content of toxic metabolites at the sewage detection point is higher.
It should be noted that in this embodimentThe method comprises the steps of expressing a toxic metabolite content influence characteristic factor corresponding to a preset y-th toxic metabolite concentration, wherein the numerical value of the influence characteristic factor expresses the influence degree of various toxic metabolite concentrations of a sewage detection point on the toxic metabolite content of a target area, and the influence characteristic factor can be directly obtained from a regional sewage detection system database when the method is used. The value of the influence characteristic factors is preset in the regional sewage detection system database, and the concentration of various toxic metabolites at the sewage detection points and the influence characteristic factors preset in the regional sewage detection system database form a mapping set. For example, the concentration of toxic metabolic substances in the real-time sewage detection point is input into the mapping set, and the corresponding characteristic factors for influencing the content of the toxic metabolic substances can be obtained. The mapping relationship may be one-to-one or many-to-one. The range of the influence characteristic factors is 0 to 1, which indicates the degree from no influence to the maximum influence.
It should be explained that this embodiment can help identify specific pollution sources by monitoring the toxic metabolite concentration at different sewage detection points, while also helping to evaluate their potential impact on the surrounding ecosystem and public health. The risk classification of the regional sewage detection points can be guided, and the regions with higher risks are preferentially treated. And the method can also help to guide the establishment of an emergency response plan and take measures to reduce pollution diffusion.
Further, according to the toxic metabolite content evaluation threshold value of each sewage detection point of each target area and the toxic metabolite evaluation parameter of each sewage detection point of each target area, evaluating and early warning is carried out on each target area, and the specific process is that the toxic metabolite content evaluation threshold value of each sewage detection point of each target area is compared with the toxic metabolite evaluation parameter of each sewage detection point of each target area, if the toxic metabolite evaluation parameter of a certain sewage detection point of the target area is higher than or equal to the toxic metabolite content evaluation threshold value of the sewage detection point of the target area, the sewage detection point is marked as a high pollution detection point, and if the toxic metabolite evaluation parameter of a certain sewage detection point of the target area is lower than the toxic metabolite content evaluation threshold value of the sewage detection point of the target area, the sewage is marked as a low pollution detection point.
Counting each high pollution detection point in each target area and notifying preset personnel to perform early warning feedback.
For example, if only a single high-pollution detection point exists in the target area, the specific early warning feedback process is U1., firstly, the accuracy of the monitoring data should be confirmed, the data is ensured to originate from reliable monitoring equipment and detection methods, and if necessary, data review or re-detection can be performed.
U2. analyzing the reasons, namely analyzing possible reasons of high concentration by combining the factors such as local pollution sources, water quality background, meteorological conditions and the like. Judging whether illegal pollution discharge, exceeding emission and other behaviors exist.
U3. timely reporting the monitoring results and the primary analysis reasons to the local environmental authorities or related authorities, including monitoring data, degree of superscalar, possible reasons and suggested countermeasures.
U4. assist in the investigation of the site survey in cooperation with environmental authorities or related regulatory authorities, providing the necessary monitoring data and information. If necessary, the pollution source tracking and checking work is assisted.
For example, if a plurality of high pollution detection points exist in the target area, the specific early warning feedback process is that V1. Comprehensive evaluation is carried out to judge whether the regional pollution problem exists. Assessment should include aspects of contamination level, impact range, potential hazard, etc.
And V2, emergency report, namely timely reporting the comprehensive evaluation result to an upper environmental protection department or a related supervision organization, and suggesting to start an emergency response mechanism. The report should emphasize the urgency and severity of the problem, as well as the suggested emergency measures.
V3. enhancing monitoring, namely adding monitoring frequency and monitoring points in an affected area to acquire more comprehensive and accurate monitoring data, monitoring water quality change in real time, and timely finding and reporting new pollution conditions.
V4., carrying out cooperative coordination on the system and the system, and carrying out cooperative coordination on the system and the system with local environmental departments, other related departments and affected enterprises and public institutions to jointly formulate countermeasures.
V5. public informing the public of pollution and countermeasures by means of media, notices and the like on the premise of ensuring the information security. The public is encouraged to participate in environmental protection, and the environmental awareness is improved.
V6. follow-up tracking, namely carrying out follow-up tracking and evaluation on implementation effects of the corresponding countermeasures, and adjusting the countermeasures according to evaluation results until the pollution problem is effectively solved.
It should be explained that, by accurately identifying the high pollution area and performing risk early warning and treatment, the embodiment can guide reasonable planning of sewage treatment facilities, improve sewage treatment efficiency and reduce operation cost. Meanwhile, the sustainable development of the area is promoted by scientifically managing sewage and toxic substances.
The comprehensive analysis is performed to obtain a detection effect evaluation index of each sewage detection point in each target area, wherein the specific process is that sewage detection historical data of each sewage detection point in each target area comprises various toxic metabolite concentrations of each sewage detection point in each preset monitoring period.
And processing according to the sewage detection historical data of each sewage detection point in each target area to obtain the toxic metabolic substance evaluation parameters of each sewage detection point in each target area in each preset monitoring period.
According to the toxic metabolic substance evaluation parameters of each sewage detection point in each target area and the equipment operation abnormal risk evaluation value of each sewage detection point in each target area in each preset monitoring period, comprehensively analyzing to obtain the detection effect evaluation index of each sewage detection point in each target area, wherein the detection effect evaluation index of each sewage detection point in each target area is used for quantitatively evaluating the sewage toxicity detection effect of each sewage detection point in each target area, and providing a basis for judging whether early warning is wrong or not.
In a specific embodiment, the numerical expression of the detection effect evaluation index of each sewage detection point in each target area is:
;
In the formula, A detection effect evaluation index indicating the nth sewage detection point in the nth target area,The evaluation parameter of toxic metabolic substances of the s-th sewage detection point in the n-th target area of the f-th preset monitoring period is represented, f represents the number of each preset monitoring period,J represents the total number of preset monitoring periods,An equipment operation abnormality risk evaluation value indicating an nth sewage detection point of an nth target area,Indicating a detection effect correction factor corresponding to a toxic metabolic substance evaluation parameter of a preset sewage detection point,And the detection effect correction factors corresponding to the equipment operation abnormal risk assessment values of the sewage detection points are represented.
It should be explained that, when the difference between the toxic metabolic substance evaluation parameter and the average value of the sewage detection point in the preset monitoring period is smaller, the equipment operation abnormal risk evaluation value of the sewage detection point is smaller, the detection effect evaluation index of the corresponding sewage detection point is larger, which indicates that the sewage toxicity detection effect of the sewage detection point is better.
It should be noted that in this embodimentIndicating a detection effect correction factor corresponding to a toxic metabolic substance evaluation parameter of a preset sewage detection point,The values of the correction factors respectively represent the influence degree of the toxic metabolic substance evaluation parameters of the sewage detection point and the equipment operation abnormal risk evaluation value of the sewage detection point on the sewage detection effect, and when the correction factors are used, the correction factors can be directly obtained from the regional sewage detection system database. The values of the correction factors are preset in the regional sewage detection system database, and the toxic metabolic substance evaluation parameters of the sewage detection points, the equipment operation abnormal risk evaluation values of the sewage detection points and the correction factors preset in the regional sewage detection system database form a mapping set. For example, inputting real-time toxic metabolic substance evaluation parameters of the sewage detection point and equipment operation abnormality risk evaluation values of the sewage detection point into a mapping set to obtain corresponding detection effect correction factors. The mapping relationship can be one-to-one or many-to-one. The values of these correction factors are all in the range of 0 to 1, indicating the extent from no effect to the maximum effect.
It should be explained that, in this embodiment, by comprehensively analyzing the toxic metabolic substance evaluation parameter and the abnormal operation of the device, the detection accuracy can be improved, and by accurately evaluating, the cause of the poor detection effect can be found out, and further measures are taken to improve the detection accuracy. According to the evaluation result, the detection equipment can be maintained and upgraded in a targeted manner, and the detection efficiency is improved. The abnormal operation of the equipment and the exceeding of toxic metabolic substances can be found in time, and early warning is provided for environmental protection departments and enterprises. Through the evaluation of the sewage detection points, the supervision of toxic metabolic substances is enhanced, so that the environmental quality is improved. The evaluation result can also be used as a basis for decision making of an enterprise management layer, which is beneficial to improving the environmental protection management level.
In a specific embodiment, the regional sewage detection system database is used for storing relevant data in the process of detecting regional sewage, wherein the relevant data comprises average altitude, average terrain gradient, critical residential area number, critical residential area population density, critical equipment operation time, critical equipment failure times, critical equipment data transmission rate and critical equipment response time of the sewage detection area, and the data extracted from the regional sewage detection system database in the embodiment can be collected in real time or periodically through automatic monitoring instruments installed at each sewage detection point, such as a water quality analysis instrument, a flowmeter, a sensor and the like, and then the monitoring data is transmitted to the database by using wireless communication technology (such as GPRS, 3G/4G/5G, wi-Fi, satellite communication and the like).
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (10)
1. The sewage detection data aggregation and analysis early warning method is characterized by comprising the following steps of:
S1, dividing a sewage detection area into areas, marking the areas as target areas, acquiring basic data of the target areas, processing the basic data to obtain environment characteristic values of the target areas, deploying sewage detection points according to the environment characteristic values of the target areas, and marking the areas as sewage detection points of the target areas;
S2, matching according to the environmental characteristic values of all the target areas to obtain the toxic metabolite content evaluation reference index of the sewage detection points of all the target areas;
S3, acquiring sewage detection data of each sewage detection point in each target area and equipment operation data of each sewage detection point in each target area;
S4, processing according to the environmental characteristic values of all target areas and the equipment operation data of all sewage detection points of all target areas to obtain equipment operation abnormal risk assessment values of all sewage detection points of all target areas, and correcting toxic metabolite content assessment reference indexes of all sewage detection points of all target areas according to the equipment operation abnormal risk assessment values of all sewage detection points of all target areas to obtain toxic metabolite content assessment thresholds of all sewage detection points of all target areas;
S5, according to sewage detection data of each sewage detection point in each target area, processing to obtain a toxic metabolic substance evaluation parameter of each sewage detection point in each target area, according to a toxic metabolic substance content evaluation threshold value of each sewage detection point in each target area and a toxic metabolic substance evaluation parameter of each sewage detection point in each target area, evaluating and early warning each target area, obtaining sewage detection historical data of each sewage detection point in each target area, according to an equipment operation abnormal risk evaluation value of each sewage detection point in each target area, comprehensively analyzing to obtain a detection effect evaluation index of each sewage detection point in each target area, and feeding back early warning effects.
2. The method for converging and analyzing the sewage detection data according to claim 1, wherein the processing is performed to obtain the environmental characteristic values of each target area, and the specific process is as follows:
The basic data of each target area comprises the altitude and the terrain gradient of each environmental monitoring point, the number of residential areas in each target area and the population density of each residential area in each target area;
Extracting and obtaining the average altitude, the average terrain gradient, the number of critical residential areas and the population density of the critical residential areas of the sewage detection area from the regional sewage detection system database;
According to the basic data of each target area, processing to obtain environmental characteristic values of each target area, wherein the environmental characteristic values of each target area are used for quantitatively evaluating the influence degree of the environmental basic characteristics of each target area on area sewage collection and toxic substance metabolism in sewage, and providing basis for matching to obtain the evaluation reference index of the toxic metabolic substance content of the sewage detection point of each target area.
3. The method for converging, analyzing and pre-warning sewage detection data according to claim 2, wherein the sewage detection points are deployed according to the environmental characteristic values of the target areas and marked as the sewage detection points of the target areas, and the specific process is as follows:
Extracting a first threshold value and a second threshold value of the regional environmental characteristics from a regional sewage detection system database, comparing the regional environmental characteristic values of each target region with the first threshold value and the second threshold value of the regional environmental characteristics, and marking the target region as a high-pollution region if the regional environmental characteristic values of the target region are higher than or equal to the first threshold value of the regional environmental characteristics;
If the environmental characteristic value of the target area is higher than the second threshold value of the environmental characteristic of the area and lower than the first threshold value, marking the target area as a medium-pollution area;
if the environmental characteristic value of the target area is lower than or equal to the second threshold value of the environmental characteristic of the area, marking the target area as a low-pollution area;
And respectively deploying corresponding sewage detection points for the high, medium and low pollution areas, and marking the sewage detection points as the sewage detection points of the target areas.
4. The method for converging and analyzing the sewage detection data and pre-warning according to claim 2, wherein the matching is performed to obtain a reference index for evaluating the content of toxic metabolites in the sewage detection points of each target area, and the specific matching process is as follows:
Extracting a mapping set between the environmental characteristic value of each target area and the toxic metabolite content evaluation reference index of each target area sewage detection point from an area sewage detection system database;
Inputting a real-time target area environment characteristic value, and obtaining a corresponding sewage detection point toxic metabolite content evaluation reference index according to the mapping set.
5. The method for converging and analyzing the sewage detection data and the early warning method thereof according to claim 1, wherein the method is characterized in that the method obtains the equipment operation abnormal risk assessment value of each sewage detection point in each target area by processing, and comprises the following specific processes:
The equipment operation data of each sewage detection point in each target area comprises each operation time of equipment, the failure times of the equipment, the data transmission rate of the equipment and the response time of the equipment in a preset monitoring period;
extracting critical equipment operation time, critical equipment failure times, critical equipment data transmission rate and critical equipment response time from a regional sewage detection system database;
And comprehensively processing according to the environmental characteristic values of the target areas and the equipment operation data of the sewage detection points of the target areas to obtain equipment operation abnormal risk assessment values of the sewage detection points of the target areas.
6. The method for converging, analyzing and pre-warning sewage detection data according to claim 5, wherein the method is characterized in that the toxic metabolite content evaluation reference index of each target area sewage detection point is corrected according to the equipment operation abnormal risk evaluation value of each target area sewage detection point to obtain a toxic metabolite content evaluation threshold value of each target area sewage detection point, and comprises the following specific steps:
according to the equipment operation abnormal risk assessment value of each sewage detection point of each target area, matching from an area sewage detection system database to obtain a toxic metabolite content correction value of each sewage detection point of each target area;
and carrying out summation operation on the toxic metabolite content evaluation reference indexes of the sewage detection points of each target area and the toxic metabolite content correction values of the sewage detection points of each target area to obtain toxic metabolite content evaluation thresholds of the sewage detection points of each target area.
7. The method for converging and analyzing the sewage detection data and the early warning method thereof according to claim 1, wherein the method is characterized in that the treatment obtains the evaluation parameters of the toxic metabolic substances of each sewage detection point in each target area, and comprises the following specific processes:
The sewage detection data of each sewage detection point in each target area comprises various toxic metabolite concentrations of each sewage detection point in a preset monitoring period;
extracting various toxic metabolic substances critical concentrations from a regional sewage detection system database;
According to the sewage detection data of each sewage detection point of each target area, processing to obtain toxic metabolic substance evaluation parameters of each sewage detection point of each target area, wherein the toxic metabolic substance evaluation parameters of each sewage detection point of each target area are used for quantitatively evaluating the toxic metabolic substance content of each sewage detection point of each target area, and providing basis for risk early warning of the target area.
8. The method for converging and analyzing the sewage detection data and pre-warning according to claim 7, wherein the method is characterized in that the method comprises the following steps of evaluating and pre-warning each target area according to a toxic metabolite content evaluation threshold value of each sewage detection point of each target area and a toxic metabolite evaluation parameter of each sewage detection point of each target area:
Comparing the toxic metabolite content evaluation threshold value of each sewage detection point in each target area with the toxic metabolite evaluation parameter of each sewage detection point in each target area, marking the sewage detection point as a high pollution detection point if the toxic metabolite evaluation parameter of a certain sewage detection point in the target area is higher than or equal to the toxic metabolite content evaluation threshold value of the sewage detection point in the target area, and marking the sewage detection point as a low pollution detection point if the toxic metabolite evaluation parameter of a certain sewage detection point in the target area is lower than the toxic metabolite content evaluation threshold value of the sewage detection point in the target area;
Counting each high pollution detection point in each target area for early warning.
9. The method for converging and analyzing and pre-warning sewage detection data according to claim 5, wherein the equipment operation abnormality risk assessment value of each sewage detection point in each target area is quantitative assessment data obtained by comprehensively analyzing each operation time of equipment, the number of faults of the equipment, the data transmission rate of the equipment and the response time of the equipment, and is used for quantitatively assessing the risk degree of equipment operation abnormality of each sewage detection point in each target area, so that basis is provided for risk pre-warning of the target area.
10. The method for converging and analyzing the sewage detection data according to claim 1, wherein the specific numerical expression of the environmental characteristic value of each target area is:
;
In the formula, An n-th target area environment characteristic value is represented, n represents the number of each target area,M represents the total number of target areas,The altitude of the ith environmental monitoring point of the nth target area is represented, i represents the number of each environmental monitoring point,H represents the total number of environmental monitoring points,Representing the slope of the terrain at the ith environmental monitoring point of the nth target area,Indicating the number of residential areas within the nth target area,Represents population density of the q-th residential area in the n-th target area, q represents the number of each residential area,P represents the total number of residential areas,Representing the average altitude of the sewage detection area,Indicating the average terrain gradient of the sewage detection zone,The number of critical residential areas is represented,Representing the population density of the critical populated area.
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