CN118529801A - Sewage treatment wisdom dosing system based on big data analysis - Google Patents
Sewage treatment wisdom dosing system based on big data analysis Download PDFInfo
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- 238000011282 treatment Methods 0.000 title claims abstract description 72
- 239000010865 sewage Substances 0.000 title claims abstract description 56
- 238000007405 data analysis Methods 0.000 title claims abstract description 20
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 378
- 239000003814 drug Substances 0.000 claims abstract description 198
- 238000004458 analytical method Methods 0.000 claims abstract description 63
- 239000007788 liquid Substances 0.000 claims abstract description 53
- 238000012544 monitoring process Methods 0.000 claims abstract description 50
- 238000000034 method Methods 0.000 claims abstract description 28
- 238000011156 evaluation Methods 0.000 claims description 34
- 238000001514 detection method Methods 0.000 claims description 16
- 238000000605 extraction Methods 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 9
- 230000001502 supplementing effect Effects 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 6
- 238000004140 cleaning Methods 0.000 claims description 5
- 238000010801 machine learning Methods 0.000 claims description 5
- 230000000007 visual effect Effects 0.000 claims description 4
- 238000013075 data extraction Methods 0.000 claims description 3
- 229940079593 drug Drugs 0.000 claims description 3
- 238000007726 management method Methods 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 19
- 230000001960 triggered effect Effects 0.000 abstract description 6
- 230000001419 dependent effect Effects 0.000 abstract 1
- 230000000694 effects Effects 0.000 description 7
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- 238000011221 initial treatment Methods 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
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- 239000005416 organic matter Substances 0.000 description 1
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/008—Control or steering systems not provided for elsewhere in subclass C02F
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/001—Upstream control, i.e. monitoring for predictive control
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/003—Downstream control, i.e. outlet monitoring, e.g. to check the treating agents, such as halogens or ozone, leaving the process
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/40—Liquid flow rate
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/42—Liquid level
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Abstract
The invention discloses a sewage treatment intelligent dosing system based on big data analysis, and belongs to the field of sewage treatment. A sewage treatment intelligent dosing system based on big data analysis comprises a water quality detector, a liquid level detector and a monitoring platform. The invention solves the problem that dosing is dependent on manpower in the prior art, the water quality data of the water inlet and the water quality data of the water outlet are collected in real time through the water quality detector, the medicament reserve data is collected in real time through the liquid level detector, the monitoring platform builds a water quality analysis model in advance, the medicament reserve threshold value is set, the water quality data is analyzed according to the built water quality analysis model, if the water quality is mutated, the alarm is immediately triggered, the dosing scheme is adjusted, the medicament reserve data is compared with the medicament reserve threshold value, if the medicament reserve data is lower than the medicament reserve threshold value, the medicament reserve is insufficient, the alarm is immediately triggered, and the medicament is supplemented, and the whole process is fully automated, so that the requirement of manual intervention is greatly reduced.
Description
Technical Field
The invention relates to the technical field of sewage treatment, in particular to a sewage treatment intelligent dosing system based on big data analysis.
Background
Along with the gradual rise of the attention degree of the country to the water pollution problem, the water quality standard of the water treatment is gradually improved, the water treatment is developed from the initial primary treatment to the current tertiary treatment, and the water treatment technology is more and more advanced from simple disinfection precipitation to organic matter removal, denitrification and dephosphorization to advanced treatment and reuse, and the sewage treatment equipment and software are more diversified, advanced and efficient. Sewage treatment refers to a process of purifying sewage to meet the water quality requirement of being discharged into a certain water body or reused. When sewage is treated, treatment liquid medicine is required to be added into the sewage, the treatment liquid medicine is prepared by mixing a solid medicament and water, and the adding of the treatment liquid medicine is an important link in the sewage treatment flow, and whether the adding dosage is reasonable or not is a key for determining the quality of the treated water.
However, the traditional dosing operation has great dependence on manpower, and the dosing scheme is adjusted by judging water according to the experience of workers, so that a great amount of manpower and time are needed to be input in the process, the cost of sewage treatment is increased, and accurate control of dosing time and dosing amount cannot be realized by relying on manpower; therefore, the existing requirements are not met, and for this reason, an intelligent sewage treatment dosing system based on big data analysis is provided.
Disclosure of Invention
The invention aims to provide a sewage treatment intelligent dosing system based on big data analysis, which is used for monitoring water quality parameters and medicament reserves in real time, analyzing the water quality parameters and the medicament reserves, immediately triggering an alarm when the water quality is suddenly changed or the medicament reserves are insufficient, automatically adjusting a dosing scheme and supplementing the medicament reserves, realizing full-process automation, greatly reducing the requirement of manual intervention, improving the operating efficiency and reliability of a sewage plant and solving the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: a sewage treatment wisdom dosing system based on big data analysis includes:
water quality detector for
The water inlet and the water outlet are arranged in the sewage treatment tank, water quality data of the water inlet and water quality data of the water outlet are collected in real time, and the collected water quality data are uploaded to the cloud for storage;
liquid level detector for
The device is deployed in a medicine storage device of the medicine, acquires medicine reserve data in real time, and uploads the acquired medicine reserve data to the cloud for storage;
Monitoring platform for
Acquiring water quality data and medicament reserve data from a cloud, constructing a water quality analysis model in advance, setting a medicament reserve threshold, analyzing the water quality data through the water quality analysis model, analyzing whether the water quality changes, immediately triggering an alarm and adjusting a dosing scheme of a medicament storage device if the water quality changes suddenly, comparing the medicament reserve data with the medicament reserve threshold, analyzing whether the medicament reserve of the medicament storage device is sufficient, if the medicament reserve is lower than the medicament reserve threshold, the medicament reserve is insufficient, immediately triggering an alarm and supplementing the medicament in the medicament storage device.
Further, the water quality detector is provided with a plurality of water quality detectors, at least one water quality detector is deployed at the water inlet and the water outlet of each sewage treatment tank, the water quality of the water inlet and the water outlet of the sewage treatment tank is detected based on the plurality of water quality detectors, each sewage treatment tank is correspondingly provided with a medicine storage device, the liquid level detector is arranged in the medicine storage device, and the liquid level detector is used for detecting the liquid level of the medicine in the medicine storage device.
Further, the water quality detector and the liquid level detector both comprise:
Detection module for
Detecting required data, wherein a water quality detector acquires water quality data of a water inlet and water quality data of a water outlet in real time through a detection module, a liquid level detector acquires medicament reserve data in real time through the detection module, and the acquired water quality data of the water inlet, the acquired water quality data of the water outlet and the acquired medicament reserve data are uploaded to a cloud for storage;
Cloud end for
And storing the received water quality data of the water inlet and the water quality data of the water outlet and the medicament reserve data.
Further, the detection module includes:
A processing module for
The collected water inlet water quality data and water outlet water quality data and medicament reserve data are preprocessed, wherein the preprocessing comprises data cleaning and unified format.
Further, the monitoring platform comprises:
a water quality analysis module for
Establishing a water quality analysis model through a machine learning algorithm, analyzing according to the established water quality analysis model based on water quality data of the water inlet and water quality data of the water outlet acquired in real time, judging whether the water quality of the water inlet and the water outlet changes according to analysis results, and generating an early warning signal to be sent to a control module if the water quality changes suddenly;
Medicament analysis module for
The method comprises the steps of presetting a liquid level alarm threshold value of a medicine storage device, comparing medicine reserve data acquired in real time with the preset liquid level alarm threshold value, judging whether the medicine reserve in the medicine storage device is sufficient according to a comparison result, and generating an early warning signal to be sent to a control module if the medicine reserve is insufficient;
Wherein, the liquid level alarm threshold value and the liquid level standard are not lower than 20% of the volume of the medicine storage device;
A control module for
Receiving an early warning signal of a water quality analysis module and an early warning signal of a medicament analysis module;
Triggering an alarm immediately and adjusting a dosing scheme of the drug storage device according to an early warning signal of the water quality analysis module;
And immediately triggering an alarm and supplementing the medicament in the medicament storage device according to the early warning signal of the medicament analysis module.
Further, the control module includes:
Early warning module for
Triggering alarm equipment to send out an alarm and sending an early warning short message to terminal equipment of management personnel;
Database for
Storing a plurality of groups of dosing schemes with different proportions and dosages for different water inlet quality and water outlet quality requirements, obtaining water inlet quality parameters and water outlet quality requirements based on analysis results, and selecting a proper dosing scheme from a database according to the water inlet quality parameters and the water outlet quality requirements;
The sewage is treated according to the dosing scheme, the treatment result is returned to the database, and the medicament proportion and the dosage of the dosing scheme in the database are optimized by comparing the treatment result.
Further, the control module further includes:
The scheme information extraction module is used for extracting the dosing scheme;
the dosing information extraction module is used for extracting the total dosing mass, the dosing position and the dosing moment from the dosing scheme;
The water flow speed evaluation coefficient acquisition module is used for monitoring the water flow speed corresponding to the dosing position in real time in a preset monitoring time period at the dosing moment to acquire a water flow speed evaluation coefficient in the monitoring time period; wherein the value range of the monitoring time period is 3-5 days;
The water flow speed evaluation coefficient is obtained through the following formula:
；
Wherein f represents a water flow velocity evaluation coefficient; n represents the number of unit time included in the monitoring period; v i represents the water flow rate corresponding to the ith unit time; v i-1 represents the corresponding water flow speed of the i-1 th unit time; v min represents the minimum value at which the water flow rate occurs in the month in which the monitoring period is located;
the single-time delivery data acquisition module is used for acquiring a single-time delivery quality range and a delivery time interval of the dosing by utilizing the water flow speed evaluation coefficient and combining the total dosing quality;
The quality setting module is used for setting the single-time dosing quality of the dosing according to the single-time dosing quality range of the dosing;
And the dosing and throwing control module is used for carrying out multiple dosing and throwing of the total dosing mass according to the single dosing mass and the throwing time interval of dosing.
Further, the single-delivery data acquisition module includes:
the water flow speed evaluation coefficient extraction module is used for extracting the water flow speed evaluation coefficient;
The medicine adding total mass data extraction module is used for extracting the medicine adding total mass;
the mass range acquisition execution module is used for acquiring a mass upper limit value and a mass lower limit value corresponding to the single-administration mass range by utilizing the water flow speed evaluation coefficient and the total dosing mass;
Wherein the upper and lower mass values are obtained by the following formula:
；
wherein M up and M down represent an upper mass limit value and a lower mass limit value, respectively; m represents the total mass of the medicine; f represents a water flow velocity evaluation coefficient; v p represents the average value of the water flow speed corresponding to the monitoring time period; v min and V max represent minimum and maximum values of the occurrence of water flow rate in the month in which the monitoring period is located;
and the delivery time interval acquisition execution module is used for acquiring the delivery time interval by utilizing the quality upper limit value and the quality lower limit value.
Further, the delivery time interval acquisition execution module includes:
the upper and lower limit value extraction module is used for extracting a quality upper limit value and a quality lower limit value corresponding to the single-administration quality range;
The quality difference value acquisition module is used for acquiring a quality difference value between the quality upper limit value and the quality lower limit value;
The water flow speed data acquisition module is used for acquiring water flow speed data corresponding to the dosing position in the monitoring time period;
The delivery time interval calculation and acquisition module is used for acquiring a delivery time interval by combining the water flow speed data and the mass difference value between the mass upper limit value and the mass lower limit value, wherein the delivery time interval is acquired through the following formula:
；
Wherein T g represents a delivery time interval; t 0 denotes a preset time interval initial value; n represents the number of unit time included in the monitoring period; v i represents the water flow rate corresponding to the ith unit time; v z represents the median water flow rate for the monitoring period; m up and M down represent a mass upper limit value and a mass lower limit value, respectively; m represents the total mass of the medicine; f represents a water flow velocity evaluation coefficient.
Further, the early warning module triggers an alarm through alarm equipment, and the alarm equipment is audible and visual alarm, including:
Loudspeaker for
Broadcasting sound alarm, wherein the decibel is 90-120 decibel, and the duration is 5-10 seconds;
Warning lamp for
The lamplight is red, and the lamplight flashes for 5-20 times at intervals of 2 seconds.
Compared with the prior art, the invention has the beneficial effects that:
According to the invention, the water quality data of the water inlet and the water quality data of the water outlet are collected in real time through the water quality detector, the medicament reserve data is collected in real time through the liquid level detector, the monitoring platform builds a water quality analysis model in advance, and sets a medicament reserve threshold value, the water quality data is analyzed according to the built water quality analysis model, if the water quality is suddenly changed, an alarm is immediately triggered, the water quality parameters of the water inlet and the water quality requirements of the water outlet can be obtained based on analysis results, and a proper dosing scheme is selected from a database, so that the dosing scheme is adjusted, the medicament reserve data is compared with the medicament reserve threshold value, whether the medicament reserve of the medicament storage device is sufficient or not can be analyzed, if the medicament reserve value is lower than the medicament reserve threshold value, the medicament reserve value is insufficient, an alarm is immediately triggered, and medicament in the medicament storage device is supplemented.
Drawings
FIG. 1 is a schematic diagram of a sewage treatment intelligent dosing system based on big data analysis;
FIG. 2 is a schematic diagram of the overall flow of intelligent dosing according to the present invention;
FIG. 3 is a schematic diagram of a control module according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to solve the technical problems that the existing dosing work has great dependence on manpower, the dosing scheme is adjusted by judging water according to the experience of workers, a large amount of manpower and time are needed to be input in the process, the cost of sewage treatment is improved, the dosing time and the accurate control of dosing amount cannot be realized by relying on manpower, and referring to fig. 1-2, the following technical scheme is provided in the embodiment:
a sewage treatment wisdom dosing system based on big data analysis includes:
water quality detector for
The water inlet and the water outlet are arranged in the sewage treatment tank, water quality data of the water inlet and water quality data of the water outlet are collected in real time, and the collected water quality data are uploaded to the cloud for storage;
liquid level detector for
The device is deployed in a medicine storage device of the medicine, acquires medicine reserve data in real time, and uploads the acquired medicine reserve data to the cloud for storage;
Monitoring platform for
Acquiring water quality data and medicament reserve data from a cloud, constructing a water quality analysis model in advance, setting a medicament reserve threshold, analyzing the water quality data through the water quality analysis model, analyzing whether the water quality changes, immediately triggering an alarm and adjusting a dosing scheme of a medicament storage device if the water quality changes suddenly, comparing the medicament reserve data with the medicament reserve threshold, analyzing whether the medicament reserve of the medicament storage device is sufficient, if the medicament reserve is lower than the medicament reserve threshold, the medicament reserve is insufficient, immediately triggering an alarm and supplementing the medicament in the medicament storage device.
Specifically, through the quality of water detector that sets up, the quality of water data of water inlet and delivery port are gathered in real time to the quality of water data of medicine reserves data is gathered in real time through the level detector that sets up, and water quality data and delivery port quality of water data and medicine reserves data upload to the high in the clouds with the water inlet that gathers, monitor platform obtains water quality data and delivery port quality of water data and medicine reserves data in the high in the clouds, utilize real quality analysis model and the liquid level alarm threshold value of establishing, can carry out the analysis to water quality data and delivery port quality of water data and medicine reserves data respectively, through the analysis, if the quality of water is abrupt change, then immediately trigger the warning and adjust medicine storage device's dosing scheme, if be less than medicine reserves threshold value, then the medicine reserves is not enough, immediately trigger the warning and supply medicine in the medicine storage device, thereby realize whole automation, avoid excessively relying on the manual work, thereby reduce sewage treatment cost.
The water quality detector is provided with a plurality of water quality detectors, at least one water quality detector is deployed at the water inlet and the water outlet of each sewage treatment tank, the water quality of the water inlet and the water outlet of the sewage treatment tank is detected based on the plurality of water quality detectors, each sewage treatment tank is correspondingly provided with a medicine storage device, the liquid level detector is arranged in the medicine storage device, and the liquid level detector is used for detecting the liquid level of the medicine in the medicine storage device.
It should be noted that, set up a plurality of water quality testing appearance, can set up water quality testing appearance in different sewage treatment ponds, be convenient for carry out simultaneous detection to a plurality of sewage treatment ponds, be favorable to the staff to master the quality of water condition in different sewage treatment ponds, and every sewage treatment pond corresponds and is provided with the medicine storage device, stores up the medicament that is used for handling sewage in the medicine storage device, can detect the medicament liquid level in the medicine storage device of place through the liquid level testing appearance to the staff of being convenient for master the medicament reserve condition in the medicine storage device.
The water quality detector and the liquid level detector all include:
Detection module for
Detecting required data, wherein a water quality detector acquires water quality data of a water inlet and water quality data of a water outlet in real time through a detection module, a liquid level detector acquires medicament reserve data in real time through the detection module, and the acquired water quality data of the water inlet, the acquired water quality data of the water outlet and the acquired medicament reserve data are uploaded to a cloud for storage;
Cloud end for
And storing the received water quality data of the water inlet and the water quality data of the water outlet and the medicament reserve data.
Wherein, detection module includes:
A processing module for
The collected water inlet water quality data and water outlet water quality data and medicament reserve data are preprocessed, wherein the preprocessing comprises data cleaning and unified format.
Specifically, the water quality detector is deployed at the water inlet and the water outlet of the sewage treatment tank, the liquid level detector is deployed in the medicine storage device of the medicine, the water quality detector collects water quality data of the water inlet and water quality data of the water outlet in real time through the detection module, the liquid level detector collects medicine reserve data in real time through the detection module, the water quality data of the water inlet can be used for analyzing water quality change of the water inlet, the water quality data of the water outlet can be used for analyzing water quality change of the water outlet, the collected data are detected to be subjected to data cleaning and uniform format through the processing module, noise points of a data center can be removed through data cleaning, then the format of the data is uniform, and accordingly the quality of the collected data is improved, so that the data is analyzed by the monitoring platform more conveniently, the analysis quality is improved, the processed water quality data of the water inlet and the water quality data of the water outlet and the medicine reserve data are uploaded to a cloud for storage, reliable data support is provided for analysis and model establishment, and the cloud can ensure the safety and usability of the data.
A monitoring platform, comprising:
a water quality analysis module for
Establishing a water quality analysis model through a machine learning algorithm, analyzing according to the established water quality analysis model based on water quality data of the water inlet and water quality data of the water outlet acquired in real time, judging whether the water quality of the water inlet and the water outlet changes according to analysis results, and generating an early warning signal to be sent to a control module if the water quality changes suddenly;
Medicament analysis module for
The method comprises the steps of presetting a liquid level alarm threshold value of a medicine storage device, comparing medicine reserve data acquired in real time with the preset liquid level alarm threshold value, judging whether the medicine reserve in the medicine storage device is sufficient according to a comparison result, and generating an early warning signal to be sent to a control module if the medicine reserve is insufficient;
Wherein, the medicament analysis module sets up the liquid level alarm threshold value of medicine storage device in advance, and the liquid level alarm threshold value specifically is:
The liquid level standard is not lower than 20% of the volume of the medicine storage device;
A control module for
Receiving an early warning signal of a water quality analysis module and an early warning signal of a medicament analysis module;
Triggering an alarm immediately and adjusting a dosing scheme of the drug storage device according to an early warning signal of the water quality analysis module;
according to the early warning signal of the medicament analysis module, immediately triggering an alarm and supplementing medicament in the medicament storage device;
Wherein, control module includes:
Early warning module for
Triggering alarm equipment to send out an alarm and sending an early warning short message to terminal equipment of management personnel, wherein the alarm equipment is an audible and visual alarm and comprises:
Loudspeaker for
Broadcasting sound alarm, wherein the decibel is 90-120 decibel, and the duration is 5-10 seconds;
Warning lamp for
Flashing light for alarming, wherein the light color is red, flashing for 5-20 times and flashing for 2 seconds;
Database for
Storing a plurality of groups of dosing schemes with different proportions and dosages for different water inlet quality and water outlet quality requirements, obtaining water inlet quality parameters and water outlet quality requirements based on analysis results, and selecting a proper dosing scheme from a database according to the water inlet quality parameters and the water outlet quality requirements;
The sewage is treated according to the dosing scheme, the treatment result is returned to the database, and the medicament proportion and the dosage of the dosing scheme in the database are optimized by comparing the treatment result.
Specifically, the water quality analysis module establishes a water quality analysis model through a machine learning algorithm, trains and optimizes the water quality analysis model according to massive historical data, analyzes water quality data of a water inlet and water quality data of a water outlet acquired in real time according to the established water quality analysis model to obtain an analysis result, judges whether the water quality of the water inlet and the water quality of the water outlet change according to the analysis result, if the water quality is not mutated, the water quality is continuously detected, if the water quality is mutated, an early warning signal is generated and sent to the control module, meanwhile, a liquid level alarm threshold value of a medicine storage device is preset through the medicine analysis module, the medicine storage data acquired in real time is compared with the liquid level alarm threshold value which is preset, whether the liquid level in the acquired medicine storage data is lower than 20 percent of the volume of the medicine storage device is analyzed, if the liquid level alarm threshold value is not lower, the detection is continued, if the liquid level alarm threshold value is lower, the medicine reserves are insufficient and early warning signals are generated and sent to the control module, the control module enables the early warning module to send out audible and visual alarms according to the early warning signals, namely, the loudspeaker is used for playing sound, the decibel of the sound played by the loudspeaker is 90-120 decibel, the sound is continuously played for 5-10 seconds, then the alarm is carried out by flashing the alarm lamp, red light is flashing by the alarm lamp, the flashing light is 2 seconds/time and flashing for 5-20 times, the early warning combination of the sound and the light can well remind staff, and when the alarm is carried out, the control module can adjust the dosing scheme, a plurality of groups of dosing schemes with different proportions and dosages with different water inlet quality and water outlet quality requirements are stored in the database, the control module can obtain water inlet quality parameters and water outlet quality requirements based on analysis results, so that a proper dosing scheme can be selected in the database, sewage is further treated according to the dosing scheme, the treatment results after the dosing scheme is adjusted can be returned to the database again, the medicament proportion and the dosage of the dosing scheme in the database are optimized through comparison of the treatment results, and the control module can supplement insufficient medicament storage.
Working principle: the water quality detector is arranged at the water inlet and the water outlet of the sewage treatment pool, the liquid level detector is arranged in the medicine storage device of the medicine, the water quality detector is used for collecting water quality data of the water inlet and water quality data of the water outlet in real time, the liquid level detector is used for collecting medicine reserve data in real time, the collected data are uploaded to the cloud for storage after being cleaned and formatted uniformly, the cloud provides reliable data support for analysis and model establishment, the cloud can ensure the safety and usability of the data, so that the monitoring platform can acquire the water quality data and the medicine reserve data from the cloud for analysis, firstly, the water quality analysis module is used for establishing a water quality analysis model through a machine learning algorithm, training and optimizing the water quality analysis model according to massive historical data, analyzing the water quality data of the water inlet and the water outlet collected in real time according to the established water quality analysis model, when the water quality is suddenly changed, an alarm is triggered, the alarm is combined with the early warning of light, the attention of workers can be well reminded, the water quality parameters of the water inlet and the water quality requirement of the water outlet can be obtained based on the analysis result, a proper dosing scheme is selected from the database, the processing result is returned to the database to further optimize the medicament proportion and the dosage of the dosing scheme, then, the liquid level alarm threshold value of the medicament storage device is preset through the medicament analysis module, the medicament reserve data acquired in real time is compared with the preset liquid level alarm threshold value, and when the liquid level alarm threshold value is lower than the liquid level alarm threshold value, the alarm is immediately triggered and the medicament reserve is timely supplemented, and the whole process is realized, so that the requirement of manual intervention is greatly reduced, and the operating efficiency and the reliability of a sewage plant are effectively improved.
Specifically, the control module further includes:
The scheme information extraction module is used for extracting the dosing scheme;
the dosing information extraction module is used for extracting the total dosing mass, the dosing position and the dosing moment from the dosing scheme;
The water flow speed evaluation coefficient acquisition module is used for monitoring the water flow speed corresponding to the dosing position in real time in a preset monitoring time period at the dosing moment to acquire a water flow speed evaluation coefficient in the monitoring time period; wherein the value range of the monitoring time period is 3-5 days;
The water flow speed evaluation coefficient is obtained through the following formula:
；
Wherein f represents a water flow velocity evaluation coefficient; n represents the number of unit time included in the monitoring period; v i represents the water flow rate corresponding to the ith unit time; v i-1 represents the corresponding water flow speed of the i-1 th unit time; v min represents the minimum value at which the water flow rate occurs in the month in which the monitoring period is located;
the single-time delivery data acquisition module is used for acquiring a single-time delivery quality range and a delivery time interval of the dosing by utilizing the water flow speed evaluation coefficient and combining the total dosing quality;
The quality setting module is used for setting the single-time dosing quality of the dosing according to the single-time dosing quality range of the dosing;
And the dosing and throwing control module is used for carrying out multiple dosing and throwing of the total dosing mass according to the single dosing mass and the throwing time interval of dosing.
The technical effects of the technical scheme are as follows: through the dosing information extraction module, key information such as the total dosing quality, the dosing position and the dosing time can be accurately extracted from a dosing scheme, and data support is provided for follow-up accurate dosing.
The water flow speed evaluation coefficient acquisition module can monitor the water flow speed corresponding to the dosing position in real time in a preset monitoring time period, and calculates a water flow speed evaluation coefficient through a specific formula. The function is helpful for evaluating the change condition of the water flow speed, and provides basis for dosing. The single-time delivery data acquisition module can calculate the single-time delivery quality range and the delivery time interval of the dosing according to the water flow speed evaluation coefficient and the total dosing quality. The dosing and throwing are more intelligent, and the dosing strategy can be adjusted according to the real-time water flow condition.
The quality setting module allows setting specific single-time delivery quality according to a single-time delivery quality range of dosing, and the dosing delivery control module can carry out multiple dosing delivery according to the set single-time delivery quality and the delivery time interval. The design makes the dosing process more flexible, and can adapt to different water treatment demands and water flow conditions. Through real-time supervision water velocity and intelligent adjustment dosing strategy, this technical scheme can improve the efficiency of water treatment process, reduces problem and the waste because of dosing misuse leads to. Accurate dosing and delivery are beneficial to reducing the waste of medicaments, reducing the treatment cost and meeting the requirements of energy conservation and environmental protection.
In summary, according to the technical scheme, through monitoring the water flow speed in real time, intelligently adjusting the dosing strategy and flexibly setting the dosing parameters, the dosing and throwing precision, the intellectualization and the high efficiency are realized, and the method has important significance in improving the efficiency of the water treatment process and reducing the cost.
Specifically, the single-delivery data acquisition module includes:
the water flow speed evaluation coefficient extraction module is used for extracting the water flow speed evaluation coefficient;
The medicine adding total mass data extraction module is used for extracting the medicine adding total mass;
the mass range acquisition execution module is used for acquiring a mass upper limit value and a mass lower limit value corresponding to the single-administration mass range by utilizing the water flow speed evaluation coefficient and the total dosing mass;
Wherein the upper and lower mass values are obtained by the following formula:
；
wherein M up and M down represent an upper mass limit value and a lower mass limit value, respectively; m represents the total mass of the medicine; f represents a water flow velocity evaluation coefficient; v p represents the average value of the water flow speed corresponding to the monitoring time period; v min and V max represent minimum and maximum values of the occurrence of water flow rate in the month in which the monitoring period is located;
and the delivery time interval acquisition execution module is used for acquiring the delivery time interval by utilizing the quality upper limit value and the quality lower limit value.
The technical effects of the technical scheme are as follows: the mass range obtaining and executing module calculates the mass upper limit value and the mass lower limit value of the single-administration mass through a specific formula by utilizing the water flow speed evaluation coefficient, the total dosing mass and the average value, the minimum value and the maximum value of the water flow speed corresponding to the monitoring time period. The calculation mode can ensure that the single-time delivery quality is in a reasonable range, avoid the problem of excessive or insufficient, and improve the dosing accuracy.
The delivery time interval acquisition execution module intelligently determines the delivery time interval according to the calculated quality upper limit value and the calculated quality lower limit value. The mode can dynamically adjust the throwing time interval according to the real-time water flow speed and the total medicine adding mass, ensures the continuity and stability of the medicine adding process and improves the medicine adding efficiency.
The technical scheme adopts a mode of monitoring the water flow speed in real time and dynamically adjusting the dosing strategy, so that the method has strong adaptability. Whether the water flow speed is changed or the total medicine adding mass is adjusted, the technical scheme can quickly respond to ensure the smooth proceeding of the medicine adding process.
Through the accurate calculation of the single delivery quality range and the intelligent determination of the delivery time interval, the technical scheme can ensure the accuracy and the continuity of the dosing process, thereby improving the water treatment effect. This helps to reduce problems and waste caused by improper dosing and improves the operating efficiency of the overall water treatment system.
Accurate dosing and delivery can reduce the waste of medicaments, reduce the treatment cost, and simultaneously meet the requirements of energy conservation and environmental protection. The energy consumption and emission can be reduced by intelligently controlling the dosing process, and the environment is positively influenced.
In summary, according to the technical scheme, the single-time delivery quality range is accurately calculated, the delivery time interval is intelligently determined, the accuracy, the intellectualization and the high efficiency of the dosing process are realized, and the method has important significance in the aspects of improving the water treatment effect, reducing the treatment cost, saving energy, protecting the environment and the like.
Specifically, the delivery time interval acquisition execution module includes:
the upper and lower limit value extraction module is used for extracting a quality upper limit value and a quality lower limit value corresponding to the single-administration quality range;
The quality difference value acquisition module is used for acquiring a quality difference value between the quality upper limit value and the quality lower limit value;
The water flow speed data acquisition module is used for acquiring water flow speed data corresponding to the dosing position in the monitoring time period;
The delivery time interval calculation and acquisition module is used for acquiring a delivery time interval by combining the water flow speed data and the mass difference value between the mass upper limit value and the mass lower limit value, wherein the delivery time interval is acquired through the following formula:
；
Wherein T g represents a delivery time interval; t 0 denotes a preset time interval initial value; n represents the number of unit time included in the monitoring period; v i represents the water flow rate corresponding to the ith unit time; v z represents the median water flow rate for the monitoring period; m up and M down represent a mass upper limit value and a mass lower limit value, respectively; m represents the total mass of the medicine; f represents a water flow velocity evaluation coefficient.
The technical effects of the technical scheme are as follows: the delivery time interval calculation and acquisition module combines a plurality of parameters such as water flow speed data (including speed median value, speed of each unit time and the like) monitored in real time, a single delivery quality range (quality upper limit value and quality lower limit value), total dosing quality and the like, and calculates the delivery time interval through a specific formula. The calculation mode can ensure the accuracy of the putting time interval, thereby being better suitable for the change of water flow conditions and improving the adding efficiency.
The technical scheme calculates the throwing time interval based on the water flow speed data monitored in real time, so that the method has strong dynamic adaptability. When the water flow speed changes, the system can quickly respond, the throwing time interval is adjusted, and the continuity and stability of the dosing process are ensured.
The accurate dosing time interval is helpful to ensure the uniformity and the continuity of the dosing process, thereby improving the dosing effect. Too short or too long a dosing time interval may lead to poor dosing results, and the solution can effectively avoid this problem.
Through accurate calculation of the time interval of throwing, the waste of the medicament can be reduced, the treatment cost is reduced, and meanwhile, the requirements of energy conservation and environmental protection are met. In addition, the process of adding medicine is more uniform and continuous, so that the influence on the environment is reduced.
The technical scheme adopts a modularized design, and all sub-modules are relatively independent, so that the implementation and maintenance are easy. Meanwhile, the system has stronger expandability and upgradeability due to the adoption of a calculation method based on real-time monitoring data.
In summary, by accurately calculating the time interval of delivery, the technical scheme realizes the accuracy, the intellectualization and the high efficiency of the dosing process, and has important significance in the aspects of improving the dosing effect, reducing the processing cost, saving energy, protecting environment and the like.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. Sewage treatment wisdom dosing system based on big data analysis, its characterized in that includes:
water quality detector for
The water inlet and the water outlet are arranged in the sewage treatment tank, water quality data of the water inlet and water quality data of the water outlet are collected in real time, and the collected water quality data are uploaded to the cloud for storage;
liquid level detector for
The device is deployed in a medicine storage device of the medicine, acquires medicine reserve data in real time, and uploads the acquired medicine reserve data to the cloud for storage;
Monitoring platform for
Acquiring water quality data and medicament reserve data from a cloud, constructing a water quality analysis model in advance, setting a medicament reserve threshold, analyzing the water quality data through the water quality analysis model, analyzing whether the water quality changes, immediately triggering an alarm and adjusting a dosing scheme of a medicament storage device if the water quality changes suddenly, comparing the medicament reserve data with the medicament reserve threshold, analyzing whether the medicament reserve of the medicament storage device is sufficient, if the medicament reserve is lower than the medicament reserve threshold, the medicament reserve is insufficient, triggering the alarm and supplementing the medicament in the medicament storage device.
2. The intelligent dosing system for sewage treatment based on big data analysis of claim 1, wherein: the water quality detector is provided with a plurality of water quality detectors, at least one water quality detector is arranged at the water inlet and the water outlet of each sewage treatment tank, the water quality of the water inlet and the water outlet of the sewage treatment tank is detected based on the plurality of water quality detectors, each sewage treatment tank is correspondingly provided with a medicine storage device, the liquid level detector is arranged in the medicine storage device, and the liquid level detector is used for detecting the liquid level of the medicine in the medicine storage device.
3. The intelligent dosing system for sewage treatment based on big data analysis of claim 1, wherein: the water quality detector and the liquid level detector both comprise:
Detection module for
Detecting required data, wherein a water quality detector acquires water quality data of a water inlet and water quality data of a water outlet in real time through a detection module, a liquid level detector acquires medicament reserve data in real time through the detection module, and the acquired water quality data of the water inlet, the acquired water quality data of the water outlet and the acquired medicament reserve data are uploaded to a cloud for storage;
Cloud end for
And storing the received water quality data of the water inlet and the water quality data of the water outlet and the medicament reserve data.
4. A sewage treatment wisdom dosing system based on big data analysis according to claim 3, wherein: the detection module comprises:
A processing module for
The collected water inlet water quality data and water outlet water quality data and medicament reserve data are preprocessed, wherein the preprocessing comprises data cleaning and unified format.
5. The intelligent dosing system for sewage treatment based on big data analysis of claim 1, wherein: the monitoring platform comprises:
a water quality analysis module for
Establishing a water quality analysis model through a machine learning algorithm, analyzing according to the established water quality analysis model based on water quality data of the water inlet and water quality data of the water outlet acquired in real time, judging whether the water quality of the water inlet and the water outlet changes according to analysis results, and generating an early warning signal to be sent to a control module if the water quality changes suddenly;
Medicament analysis module for
The method comprises the steps of presetting a liquid level alarm threshold value of a medicine storage device, comparing medicine reserve data acquired in real time with the preset liquid level alarm threshold value, judging whether the medicine reserve in the medicine storage device is sufficient according to a comparison result, and generating an early warning signal to be sent to a control module if the medicine reserve is insufficient;
Wherein, the liquid level alarm threshold value and the liquid level standard are not lower than 20% of the volume of the medicine storage device;
A control module for
Receiving an early warning signal of a water quality analysis module and an early warning signal of a medicament analysis module;
Triggering an alarm immediately and adjusting a dosing scheme of the drug storage device according to an early warning signal of the water quality analysis module;
And immediately triggering an alarm and supplementing the medicament in the medicament storage device according to the early warning signal of the medicament analysis module.
6. The intelligent dosing system for sewage treatment based on big data analysis of claim 5, wherein: the control module comprises:
Early warning module for
Triggering alarm equipment to send out an alarm and sending an early warning short message to terminal equipment of management personnel;
Database for
Storing a plurality of groups of dosing schemes with different proportions and dosages for different water inlet quality and water outlet quality requirements, obtaining water inlet quality parameters and water outlet quality requirements based on analysis results, and selecting a proper dosing scheme from a database according to the water inlet quality parameters and the water outlet quality requirements;
The sewage is treated according to the dosing scheme, the treatment result is returned to the database, and the medicament proportion and the dosage of the dosing scheme in the database are optimized by comparing the treatment result.
7. The intelligent dosing system for sewage treatment based on big data analysis of claim 5, wherein: the control module further comprises:
The scheme information extraction module is used for extracting the dosing scheme;
the dosing information extraction module is used for extracting the total dosing mass, the dosing position and the dosing moment from the dosing scheme;
The water flow speed evaluation coefficient acquisition module is used for monitoring the water flow speed corresponding to the dosing position in real time in a preset monitoring time period at the dosing moment to acquire a water flow speed evaluation coefficient in the monitoring time period; wherein the value range of the monitoring time period is 3-5 days;
The water flow speed evaluation coefficient is obtained through the following formula:
；
Wherein f represents a water flow velocity evaluation coefficient; n represents the number of unit time included in the monitoring period; v i represents the water flow rate corresponding to the ith unit time; v i-1 represents the corresponding water flow speed of the i-1 th unit time; v min represents the minimum value at which the water flow rate occurs in the month in which the monitoring period is located;
the single-time delivery data acquisition module is used for acquiring a single-time delivery quality range and a delivery time interval of the dosing by utilizing the water flow speed evaluation coefficient and combining the total dosing quality;
The quality setting module is used for setting the single-time dosing quality of the dosing according to the single-time dosing quality range of the dosing;
And the dosing and throwing control module is used for carrying out multiple dosing and throwing of the total dosing mass according to the single dosing mass and the throwing time interval of dosing.
8. The intelligent dosing system for sewage treatment based on big data analysis of claim 7, wherein: the single-delivery data acquisition module comprises:
the water flow speed evaluation coefficient extraction module is used for extracting the water flow speed evaluation coefficient;
The medicine adding total mass data extraction module is used for extracting the medicine adding total mass;
the mass range acquisition execution module is used for acquiring a mass upper limit value and a mass lower limit value corresponding to the single-administration mass range by utilizing the water flow speed evaluation coefficient and the total dosing mass;
Wherein the upper and lower mass values are obtained by the following formula:
；
wherein M up and M down represent an upper mass limit value and a lower mass limit value, respectively; m represents the total mass of the medicine; f represents a water flow velocity evaluation coefficient; v p represents the average value of the water flow speed corresponding to the monitoring time period; v min and V max represent minimum and maximum values of the occurrence of water flow rate in the month in which the monitoring period is located;
and the delivery time interval acquisition execution module is used for acquiring the delivery time interval by utilizing the quality upper limit value and the quality lower limit value.
9. The intelligent dosing system for sewage treatment based on big data analysis of claim 8, wherein: the putting time interval acquisition execution module comprises:
the upper and lower limit value extraction module is used for extracting a quality upper limit value and a quality lower limit value corresponding to the single-administration quality range;
The quality difference value acquisition module is used for acquiring a quality difference value between the quality upper limit value and the quality lower limit value;
The water flow speed data acquisition module is used for acquiring water flow speed data corresponding to the dosing position in the monitoring time period;
The delivery time interval calculation and acquisition module is used for acquiring a delivery time interval by combining the water flow speed data and the mass difference value between the mass upper limit value and the mass lower limit value, wherein the delivery time interval is acquired through the following formula:
；
Wherein T g represents a delivery time interval; t 0 denotes a preset time interval initial value; n represents the number of unit time included in the monitoring period; v i represents the water flow rate corresponding to the ith unit time; v z represents the median water flow rate for the monitoring period; m up and M down represent a mass upper limit value and a mass lower limit value, respectively; m represents the total mass of the medicine; f represents a water flow velocity evaluation coefficient.
10. The intelligent dosing system for sewage treatment based on big data analysis of claim 6, wherein: the early warning module triggers an alarm through alarm equipment, and the alarm equipment is audible and visual alarm, and comprises:
Loudspeaker for
Broadcasting sound alarm, wherein the decibel is 90-120 decibel, and the duration is 5-10 seconds;
Warning lamp for
The lamplight is red, and the lamplight flashes for 5-20 times at intervals of 2 seconds.
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