CN118409063A - Water quality detection and analysis system for sewage treatment - Google Patents
Water quality detection and analysis system for sewage treatment Download PDFInfo
- Publication number
- CN118409063A CN118409063A CN202410804465.6A CN202410804465A CN118409063A CN 118409063 A CN118409063 A CN 118409063A CN 202410804465 A CN202410804465 A CN 202410804465A CN 118409063 A CN118409063 A CN 118409063A
- Authority
- CN
- China
- Prior art keywords
- subarea
- water
- water body
- refers
- sub
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 260
- 239000010865 sewage Substances 0.000 title claims abstract description 58
- 238000004458 analytical method Methods 0.000 title claims abstract description 42
- 238000011282 treatment Methods 0.000 title claims abstract description 22
- 238000001514 detection method Methods 0.000 title claims abstract description 14
- 238000013178 mathematical model Methods 0.000 claims abstract description 14
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 30
- 229910052760 oxygen Inorganic materials 0.000 claims description 30
- 239000001301 oxygen Substances 0.000 claims description 30
- 238000000034 method Methods 0.000 claims description 19
- 239000007787 solid Substances 0.000 claims description 19
- 229910001385 heavy metal Inorganic materials 0.000 claims description 17
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 claims description 16
- 238000012544 monitoring process Methods 0.000 claims description 16
- 229910052698 phosphorus Inorganic materials 0.000 claims description 16
- 239000011574 phosphorus Substances 0.000 claims description 16
- 239000000126 substance Substances 0.000 claims description 15
- 239000005416 organic matter Substances 0.000 claims description 14
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 claims description 13
- 230000002452 interceptive effect Effects 0.000 claims description 10
- VYZAMTAEIAYCRO-UHFFFAOYSA-N Chromium Chemical compound [Cr] VYZAMTAEIAYCRO-UHFFFAOYSA-N 0.000 claims description 6
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 claims description 6
- HCHKCACWOHOZIP-UHFFFAOYSA-N Zinc Chemical compound [Zn] HCHKCACWOHOZIP-UHFFFAOYSA-N 0.000 claims description 6
- 230000036760 body temperature Effects 0.000 claims description 6
- 229910052793 cadmium Inorganic materials 0.000 claims description 6
- BDOSMKKIYDKNTQ-UHFFFAOYSA-N cadmium atom Chemical compound [Cd] BDOSMKKIYDKNTQ-UHFFFAOYSA-N 0.000 claims description 6
- 229910052804 chromium Inorganic materials 0.000 claims description 6
- 239000011651 chromium Substances 0.000 claims description 6
- 229910052802 copper Inorganic materials 0.000 claims description 6
- 239000010949 copper Substances 0.000 claims description 6
- 239000003344 environmental pollutant Substances 0.000 claims description 6
- 238000001914 filtration Methods 0.000 claims description 6
- 239000011133 lead Substances 0.000 claims description 6
- QSHDDOUJBYECFT-UHFFFAOYSA-N mercury Chemical compound [Hg] QSHDDOUJBYECFT-UHFFFAOYSA-N 0.000 claims description 6
- 229910052753 mercury Inorganic materials 0.000 claims description 6
- 231100000719 pollutant Toxicity 0.000 claims description 6
- 230000000630 rising effect Effects 0.000 claims description 6
- 229910052725 zinc Inorganic materials 0.000 claims description 6
- 239000011701 zinc Substances 0.000 claims description 6
- 241000195493 Cryptophyta Species 0.000 claims description 4
- VHUUQVKOLVNVRT-UHFFFAOYSA-N Ammonium hydroxide Chemical compound [NH4+].[OH-] VHUUQVKOLVNVRT-UHFFFAOYSA-N 0.000 claims description 3
- 238000001704 evaporation Methods 0.000 claims description 3
- 230000010365 information processing Effects 0.000 claims description 3
- 239000012528 membrane Substances 0.000 claims description 3
- 229910052757 nitrogen Inorganic materials 0.000 claims description 3
- IJGRMHOSHXDMSA-UHFFFAOYSA-N nitrogen Substances N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 3
- 239000002244 precipitate Substances 0.000 claims description 3
- 238000012372 quality testing Methods 0.000 claims description 2
- 238000004457 water analysis Methods 0.000 claims description 2
- 238000004065 wastewater treatment Methods 0.000 claims 3
- 238000003911 water pollution Methods 0.000 abstract description 4
- 230000005484 gravity Effects 0.000 abstract description 2
- 238000011269 treatment regimen Methods 0.000 abstract description 2
- 230000008569 process Effects 0.000 description 5
- 230000000694 effects Effects 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 3
- 238000011109 contamination Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 150000002500 ions Chemical class 0.000 description 2
- 238000000746 purification Methods 0.000 description 2
- 238000002798 spectrophotometry method Methods 0.000 description 2
- APUPEJJSWDHEBO-UHFFFAOYSA-P ammonium molybdate Chemical compound [NH4+].[NH4+].[O-][Mo]([O-])(=O)=O APUPEJJSWDHEBO-UHFFFAOYSA-P 0.000 description 1
- 229940010552 ammonium molybdate Drugs 0.000 description 1
- 235000018660 ammonium molybdate Nutrition 0.000 description 1
- 239000011609 ammonium molybdate Substances 0.000 description 1
- 230000004071 biological effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000003153 chemical reaction reagent Substances 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000029087 digestion Effects 0.000 description 1
- 239000003651 drinking water Substances 0.000 description 1
- 235000020188 drinking water Nutrition 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000005180 public health Effects 0.000 description 1
- 238000013442 quality metrics Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 239000002352 surface water Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Investigating Or Analyzing Non-Biological Materials By The Use Of Chemical Means (AREA)
Abstract
The invention discloses a water quality detection analysis system for sewage treatment, and particularly relates to the field of water quality analysis. According to the invention, the collected water quality indexes are comprehensively analyzed and processed through the analysis module, so that a more accurate mathematical model is established, and the water quality condition is reflected more accurately. The model can help sewage treatment personnel to comprehensively analyze the pollution condition of the water body and deeply analyze pollution-causing factors. Thus, sewage treatment personnel can better understand the water pollution sources and the specific gravity of each pollution factor so as to pertinently formulate a sewage treatment strategy.
Description
Technical Field
The invention relates to the technical field of water quality analysis, in particular to a water quality detection and analysis system for sewage treatment.
Background
Water quality testing is a process of assessing various physical, chemical and biological properties in a body of water, with the aim of determining the applicability, safety and pollution level of the water. Water quality detection is an important measure for protecting public health and environment, and is widely applied to the fields of drinking water, underground water, surface water, rivers, lakes, oceans and sewage.
The water quality detection and analysis system for sewage treatment is an advanced technical solution for realizing real-time, continuous and automatic monitoring of water quality in the sewage treatment process. The system collects water quality parameter data in the sewage treatment process in real time through a sensor network arranged in a sewage treatment facility, wherein the water quality parameter data comprise pH value, dissolved oxygen concentration, suspended solid concentration, COD, BOD, ammonia nitrogen and total phosphorus.
Through the collected data, the system can perform water quality analysis and evaluation to help sewage treatment plants monitor and control water quality conditions. The system can analyze trends and anomalies in water quality data, discover potential water quality problems in advance, and support decision makers to take corresponding measures. In addition, the system can generate a water quality detection report, including sample information, analysis results and evaluation conclusions, and provides scientific basis for decision makers.
However, in practical use, there are still some drawbacks, such as, first, that the data collected in the prior art when evaluating the water quality level of a water body tend to be biased to a few water quality indicators, such as pH, dissolved oxygen, ammonia nitrogen. This single-index data collection method limits the overall assessment of water quality. To improve the comprehensiveness of the assessment, it is necessary to consider the collection of more water quality metrics, including physical, chemical and biological parameters such as total suspended matter, total phosphorus, biochemical oxygen demand, heavy metal content and algae metrics. Secondly, the prior art often ignores the influence of the environmental conditions of the water body and different depths on the index in the process of collecting the water quality index. Environmental conditions of the water body, such as water flow speed, temperature and characteristics of different depths of the water body, can influence the distribution and change of water quality indexes. Therefore, in the data acquisition process, the environmental factors are considered, and the data are acquired at different depths or sampling points, so that the overall water quality condition of the water body can be accurately known.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, an embodiment of the present invention provides a water quality detection and analysis system for sewage treatment, which solves the problems set forth in the above-mentioned background art by adopting the following scheme.
In order to achieve the above purpose, the present invention provides the following technical solutions: a water quality detection analysis system for sewage treatment comprises a subarea dividing module, a subarea information acquisition module, a subarea sewage quality analysis module, a target area sewage quality analysis module, a sewage quality analysis judgment module and an interactive feedback module.
Preferably, the sub-region dividing module: the method comprises the steps of marking a sewage water body to be monitored as a target monitoring area, dividing the target monitoring area into sub-monitoring areas, and marking the sub-monitoring areas as 1,2 and 3 … … i in sequence;
the subarea water quality information acquisition module is used for: the system comprises a basic water quality information acquisition unit, a specific pollutant information acquisition unit and a water environment information acquisition unit, wherein the basic water quality information acquisition unit, the specific pollutant information acquisition unit and the water environment information acquisition unit are used for acquiring data of a sub-area to obtain comprehensive parameters and outputting the comprehensive parameters to a sub-area sewage water quality analysis module;
The subregion sewage quality of water analysis module: the method comprises the steps of importing and calculating data acquired in a subarea water quality information acquisition module to obtain subarea organic matter pollution coefficients, subarea inorganic matter pollution coefficients and subarea pollution indexes;
The target area sewage quality analysis module is used for: the method comprises the steps of importing data obtained by a subregion sewage water quality analysis module and calculating to obtain a target region pollution index;
The sewage quality judging module is as follows: the method comprises the steps of comparing a pollution index value of a target area with a preset value, and inputting a comparison result to an interactive feedback module;
The interactive feedback module is used for: and the comparison result is led into the manager terminal to wait for terminal information processing.
Preferably, the comprehensive parameters comprise a subregion water PH value parameter, a subregion water heavy metal content parameter, a subregion water ammonia nitrogen content parameter, a subregion water total phosphorus content parameter, a subregion water suspended solid content parameter, a subregion water plankton content parameter, a subregion water dissolved oxygen parameter, a subregion water temperature parameter, a subregion water flow velocity parameter and a subregion water chemical oxygen demand parameter;
the parameters of the plankton content in the water body of the subarea refer to the plankton content in the water body of the subarea i ;
The subarea water body dissolved oxygen parameter refers to i subarea water body dissolved oxygen;
The parameters of the heavy metal content in the water body in the subarea refer to the content of heavy metals such as mercury, cadmium, lead, chromium, zinc and copper in the water body in the subarea;
The PH value parameter of the sub-region water body refers to the PH value of the i sub-region water body;
The ammonia nitrogen content parameter of the water body of the subarea refers to the ammonia nitrogen content of the water body of the subarea i;
The total phosphorus content parameter of the water body in the subarea refers to the total phosphorus content of the water body in the subarea i;
The sub-region water body suspended solid content parameter refers to the suspended solid content of the i sub-region water body;
The sub-region water body temperature parameter refers to i sub-region water body temperature;
The subarea water flow velocity parameter refers to i subarea water flow velocity;
The sub-region water body chemical oxygen demand parameter refers to the i sub-region water body chemical oxygen demand。
Preferably, the specific collection mode of the plankton content parameters of the water body in the subarea is as follows:
collecting sub-regions by means of containers Rising water sample, filtering precipitate with filter membrane, filtering plankton with 2 μm mesh, and counting to obtain blue algae amountNumber of diatomsFinally obtaining the plankton content parameters of the water body in the subareas。
Preferably, the specific collection mode of the sub-area water body suspended solid content parameters is as follows:
collecting in sub-regions by containers Rising water sample, evaporating the sample to dryness, counting the residual solid mass, collecting the statistics for multiple times, and sequentially marking the results as、、……Finally obtain。
Preferably, the mathematical model of the organic matter pollution coefficient of the subarea is as follows:
Wherein Refers to the organic matter pollution coefficient of the subarea,The term "constant" is used to refer to a constant,Refers to the plankton content of the water body in the i subarea,Refers to the dissolved oxygen amount of the water body in the subarea i,Refers to the temperature of the water body in the i subarea,Refers to the flow rate of the water body in the i subarea,Refers to the chemical oxygen demand of the water body in the i subarea.
Preferably, the mathematical model of the sub-region inorganic pollution coefficient is as follows:
Wherein Refers to the inorganic pollution coefficient of the subarea,、Is a constant value, and is a function of the constant,Refers to the PH value of the water body in the i subarea,Refers to the ammonia nitrogen content of the water body in the subarea i,Refers to the total phosphorus content of the water body in the i subarea,Refers to the suspended solid content of the water body in the i subarea,Refers to the content of heavy metals such as mercury, cadmium, lead, chromium, zinc and copper in the water body in the i subarea.
Preferably, the mathematical model of the sub-region pollution index is as follows:
Wherein Refers to the sub-area pollution index,Refers to the organic matter pollution coefficient of the subarea,Refers to the inorganic pollution coefficient of the subarea.
Preferably, the mathematical model of the target area pollution index is as follows:
Wherein Refers to the pollution index of the target area,Refers to the sub-area pollution index.
Preferably, the preset value is formulated according to industry specifications and sewage treatment targets and represents a safety warning line of water quality. After the system receives the data transmitted by the sewage water quality analysis module of the target area, the data are compared and analyzed, and if the pollution index value of the target area is lower than the corresponding preset value, the system indicates that the water quality of the area is healthy. If the contamination index value is higher than the alarm value, it may indicate that the water quality is in some problems, such as high heavy metal ion content and high organic content, indicating that the water quality in the area needs further purification treatment measures.
Preferably, when the comparison result is higher than a preset value, the system triggers an alarm function on the terminal, sends out an alarm signal to the manager through sound, vibration and popup window forms and gives out related parameters, and meanwhile, the system can help the manager to analyze the reason affecting the pollution index of the target area and the proportion occupied by each pollution factor.
The invention has the technical effects and advantages that:
1. According to the invention, through accurate region division, comprehensive monitoring of a target region is realized, the target region is divided into a plurality of subregions according to different depth gradients through the subregion division module, and basic information is collected in each subregion, and the basic information covers three aspects of basic water quality information, specific pollutant information and water environment information, so that more comprehensive and fine monitoring information is provided;
2. according to the invention, the collected water quality indexes are comprehensively analyzed and processed through the analysis module, so that a more accurate mathematical model is established, and the water quality condition is reflected more accurately. The model can help sewage treatment personnel to comprehensively analyze the pollution condition of the water body and deeply analyze pollution-causing factors. Thus, sewage treatment personnel can better understand the water pollution sources and the specific gravity of each pollution factor so as to pertinently formulate a sewage treatment strategy.
Drawings
Fig. 1 is a schematic diagram of the overall structure of 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.
A water quality detection analysis system for sewage treatment shown in figure 1 comprises a subarea dividing module, a subarea water quality information acquisition module, a subarea sewage water quality analysis module, a target area sewage water quality analysis module, a sewage water quality judging module and an interactive feedback module.
The output end of the subarea dividing module is in telecommunication connection with the input end of the subarea water quality information acquisition module, the output end of the subarea water quality information acquisition module is in telecommunication connection with the input end of the subarea sewage water quality analysis module, the output end of the subarea sewage water quality analysis module is in telecommunication connection with the input end of the target area sewage water quality analysis module, the output end of the target area sewage water quality analysis module is in telecommunication connection with the input end of the sewage water quality judgment module, and the output end of the sewage water quality judgment module is in telecommunication connection with the input end of the interactive feedback module.
The subarea dividing module is used for marking the sewage water body to be monitored as a target monitoring area, dividing the target monitoring area into all subareas and marking the subareas as 1,2 and 3 … … i in sequence;
the embodiment needs to specifically explain that the target monitoring area specifically refers to a polluted water body, and the sub-monitoring areas are formed by sequentially dividing the water body to be detected into sub-monitoring areas according to different depth gradients;
The sub-region water quality information acquisition module comprises a basic water quality information acquisition unit, a specific pollutant information acquisition unit and a water environment information acquisition unit, and is used for acquiring data of the sub-region to obtain comprehensive parameters and outputting the comprehensive parameters to the sub-region sewage water quality analysis module;
In a preferred technical scheme of the application, the specific acquisition method of the comprehensive parameters of each subarea in the subarea water quality information acquisition module is as follows:
The embodiment needs to specifically explain that the comprehensive parameters refer to a subarea water PH value parameter, a subarea water heavy metal content parameter, a subarea water ammonia nitrogen content parameter, a subarea water total phosphorus content parameter, a subarea water suspended solid content parameter, a subarea water plankton content parameter, a subarea water dissolved oxygen parameter, a subarea water temperature parameter, a subarea water flow rate parameter and a subarea water chemical oxygen demand parameter;
the parameters of the plankton content in the water body of the subarea refer to the plankton content in the water body of the subarea i ;
The subarea water body dissolved oxygen parameter refers to i subarea water body dissolved oxygen;
The parameters of the heavy metal content in the water body in the subarea refer to the content of heavy metals such as mercury, cadmium, lead, chromium, zinc and copper in the water body in the subarea;
The PH value parameter of the sub-region water body refers to the PH value of the i sub-region water body;
The ammonia nitrogen content parameter of the water body of the subarea refers to the ammonia nitrogen content of the water body of the subarea i;
The total phosphorus content parameter of the water body in the subarea refers to the total phosphorus content of the water body in the subarea i;
The sub-region water body suspended solid content parameter refers to the suspended solid content of the i sub-region water body;
The sub-region water body temperature parameter refers to i sub-region water body temperature;
The subarea water flow velocity parameter refers to i subarea water flow velocity;
The sub-region water body chemical oxygen demand parameter refers to the i sub-region water body chemical oxygen demand;
The embodiment needs to be specifically explained, regarding the dissolved oxygen parameter of the subarea water body, the ammonia nitrogen content parameter of the subarea water body, the total phosphorus content parameter of the subarea water body, the heavy metal content parameter of the subarea water body, the PH value parameter of the subarea water body, the flow rate parameter of the subarea water body and the temperature parameter of the subarea water body are all obtained by adopting conventional equipment and methods, for example, the PH value of the water body, the temperature value of the water body, the heavy metal content of the water body, the flow rate of the water body and the dissolved oxygen content of the water body are collected through sensors, the ammonia nitrogen content of the subarea water body is measured by a Nardson reagent method, the total phosphorus content information of the water body is measured by an ammonium molybdate spectrophotometry and the chemical oxygen demand of the water body is measured by a rapid digestion spectrophotometry, so the embodiment is not particularly limited;
The embodiment needs to specifically explain that the specific collection mode of the plankton content parameters of the water body in the subarea is as follows:
collecting sub-regions by means of containers Rising water sample, filtering precipitate with filter membrane, filtering plankton with 2 μm mesh, and counting to obtain blue algae amountNumber of diatomsFinally obtaining the plankton content parameters of the water body in the subareas;
The embodiment needs to specifically explain that the specific collection mode of the sub-area water body suspended solid content parameters is as follows:
collecting in sub-regions by containers Rising water sample, evaporating the sample to dryness, counting the residual solid mass, collecting the statistics for multiple times, and sequentially marking the results as、、……Finally obtain;
The subarea sewage water quality analysis module is used for importing and calculating the data acquired in the subarea water quality information acquisition module to obtain subarea organic matter pollution coefficients, subarea inorganic matter pollution coefficients and subarea pollution indexes;
In this embodiment, it should be specifically described that the mathematical model of the organic matter pollution coefficient of the subarea is as follows:
Wherein Refers to the organic matter pollution coefficient of the subarea,The term "constant" is used to refer to a constant,Refers to the plankton content of the water body in the i subarea,Refers to the dissolved oxygen amount of the water body in the subarea i,Refers to the temperature of the water body in the i subarea,Refers to the flow rate of the water body in the i subarea,Refers to the chemical oxygen demand of the water body in the i subarea;
The embodiment needs to be specifically explained in The method comprises the steps of fitting parameters, according to different climates and seasons of the environment where a polluted water body is located, obtaining different observation value data sets by a system, selecting a proper model based on the property of the data, estimating the fitting parameters of the model to obtain a group of fitting parameter data sets, checking R-party values, namely determining coefficient values to evaluate the fitting goodness of the model, wherein the R-party values are closer to 1, the better fitting effect of the model is illustrated, and the parameter with the highest minimum fitting goodness of residual is recorded asThereby minimizing the difference between the model predictive value and the actual observed value, and thereforeThe value of the water pollution coefficient is changed according to different climates and seasons of the environment where the polluted water body is located, so that the organic matter pollution coefficient of the subarea is used for reflecting the influence condition of the organic matter pollution of the water body on the water quality of the water body under different environments;
in this embodiment, it should be specifically described that the mathematical model of the inorganic pollution coefficient of the subarea is as follows:
Wherein Refers to the inorganic pollution coefficient of the subarea,、Is a constant value, and is a function of the constant,Refers to the PH value of the water body in the i subarea,Refers to the ammonia nitrogen content of the water body in the subarea i,Refers to the total phosphorus content of the water body in the i subarea,Refers to the suspended solid content of the water body in the i subarea,Refers to the content of heavy metals such as mercury, cadmium, lead, chromium, zinc and copper in the water body in the i subarea;
The embodiment needs to be specifically explained in 、The method comprises the steps of fitting parameters, according to different climates and seasons of the environment where a polluted water body is located, obtaining different observation value data sets by a system, selecting a proper model based on the property of the data, estimating the fitting parameters of the model to obtain a group of fitting parameter data sets, checking R-party values, namely determining coefficient values to evaluate the fitting goodness of the model, wherein the R-party values are closer to 1, the better fitting effect of the model is illustrated, and the parameter with the highest minimum fitting goodness of residual is recorded as、Thereby minimizing the difference between the model predictive value and the actual observed value, and therefore、The value of the water pollution coefficient is changed according to different climates and seasons of the environment where the polluted water body is located, so that the sub-region inorganic matter pollution coefficient is used for reflecting the influence condition of the inorganic matter pollution of the water body on the water quality of the water body under different environments;
In this embodiment, it should be specifically described that the mathematical model of the sub-area pollution index is as follows:
Wherein Refers to the sub-area pollution index,Refers to the organic matter pollution coefficient of the subarea,Refers to the inorganic pollution coefficient of the subarea;
The target area sewage quality analysis module is used for importing the data obtained by the sub-area sewage quality analysis module and calculating the data to obtain a target area pollution index;
in this embodiment, it should be specifically described that the mathematical model of the pollution index of the target area is as follows:
Wherein Refers to the pollution index of the target area,Refers to a sub-region pollution index;
The sewage quality judging module is used for comparing the pollution index value of the target area with a preset value and inputting a comparison result to the interactive feedback module;
In this embodiment, it is specifically described that the preset value is formulated according to industry specifications and sewage treatment targets, and represents a safety warning line of water quality. After the system receives the data transmitted by the sewage water quality analysis module of the target area, the data are compared and analyzed, and if the pollution index value of the target area is lower than the corresponding preset value, the system indicates that the water quality of the area is healthy. If the contamination index value is higher than the alarm value, it may indicate that the water quality is in some problems, such as high heavy metal ion content and high organic content, indicating that the water quality in the area needs further purification treatment measures.
The interactive feedback module is used for guiding the comparison result into the manager terminal and waiting for terminal information processing;
The embodiment needs to specifically explain that when the comparison result is higher than the preset value, the system triggers an alarm function on the terminal, sends out an alarm signal to the manager through sound, vibration and popup window forms and gives out relevant parameters, and meanwhile, the system can help the manager to analyze the reason affecting the pollution index of the target area and the proportion occupied by each pollution factor.
Secondly: in the drawings of the disclosed embodiments, only the structures related to the embodiments of the present disclosure are referred to, and other structures can refer to the common design, so that the same embodiment and different embodiments of the present disclosure can be combined with each other under the condition of no conflict;
finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (5)
1. A water quality detection and analysis system for sewage treatment, comprising: the system comprises a subarea dividing module, a subarea water quality information acquisition module, a subarea sewage water quality analysis module, a target area sewage water quality analysis module, a sewage water quality judgment module and an interactive feedback module;
The subarea dividing module is used for: the method comprises the steps of marking a sewage water body to be monitored as a target monitoring area, dividing the target monitoring area into sub-monitoring areas, and marking the sub-monitoring areas as 1,2 and 3 … … i in sequence;
the subarea water quality information acquisition module is used for: the system comprises a basic water quality information acquisition unit, a specific pollutant information acquisition unit and a water environment information acquisition unit, wherein the basic water quality information acquisition unit, the specific pollutant information acquisition unit and the water environment information acquisition unit are used for acquiring data of a sub-area to obtain comprehensive parameters and outputting the comprehensive parameters to a sub-area sewage water quality analysis module;
The subregion sewage quality of water analysis module: the method comprises the steps of importing and calculating data acquired in a subarea water quality information acquisition module to obtain subarea organic matter pollution coefficients, subarea inorganic matter pollution coefficients and subarea pollution indexes;
The target area sewage quality analysis module is used for: the method comprises the steps of importing data obtained by a subregion sewage water quality analysis module and calculating to obtain a target region pollution index;
The sewage quality judging module is as follows: the method comprises the steps of comparing a pollution index value of a target area with a preset value, and inputting a comparison result to an interactive feedback module;
The interactive feedback module is used for: and the comparison result is led into the manager terminal to wait for terminal information processing.
2. A water quality detection and analysis system for wastewater treatment according to claim 1 and wherein: the comprehensive parameters comprise a subregion water PH value parameter, a subregion water heavy metal content parameter, a subregion water ammonia nitrogen content parameter, a subregion water total phosphorus content parameter, a subregion water suspended solid content parameter, a subregion water plankton content parameter, a subregion water dissolved oxygen parameter, a subregion water temperature parameter, a subregion water flow velocity parameter and a subregion water chemical oxygen demand parameter;
the parameters of the plankton content in the water body of the subarea refer to the plankton content in the water body of the subarea i ;
The subarea water body dissolved oxygen parameter refers to i subarea water body dissolved oxygen;
The parameters of the heavy metal content in the water body in the subarea refer to the content of heavy metals such as mercury, cadmium, lead, chromium, zinc and copper in the water body in the subarea;
The PH value parameter of the sub-region water body refers to the PH value of the i sub-region water body;
The ammonia nitrogen content parameter of the water body of the subarea refers to the ammonia nitrogen content of the water body of the subarea i;
The total phosphorus content parameter of the water body in the subarea refers to the total phosphorus content of the water body in the subarea i;
The sub-region water body suspended solid content parameter refers to the suspended solid content of the i sub-region water body;
The sub-region water body temperature parameter refers to i sub-region water body temperature;
The subarea water flow velocity parameter refers to i subarea water flow velocity;
The sub-region water body chemical oxygen demand parameter refers to the i sub-region water body chemical oxygen demand。
3. A water quality detection and analysis system for wastewater treatment according to claim 2 and wherein: the specific collection mode of the plankton content parameters of the water body in the subarea is as follows:
collecting sub-regions by means of containers Rising water sample, filtering precipitate with filter membrane, filtering plankton with 2 μm mesh, and counting to obtain blue algae amountNumber of diatomsFinally obtaining the plankton content parameters of the water body in the subareas。
4. A water quality detection and analysis system for wastewater treatment according to claim 2 and wherein: the specific acquisition mode of the sub-area water body suspended solid content parameters is as follows:
collecting in sub-regions by containers Rising water sample, evaporating the sample to dryness, counting the residual solid mass, collecting the statistics for multiple times, and sequentially marking the results as、、……Finally obtain。
5. A water quality testing analysis system for sewage treatment according to claim 4, wherein: the mathematical model of the organic matter pollution coefficient of the subarea is as follows:
Wherein Refers to the organic matter pollution coefficient of the subarea,The term "constant" is used to refer to a constant,Refers to the plankton content of the water body in the i subarea,Refers to the dissolved oxygen amount of the water body in the subarea i,Refers to the temperature of the water body in the i subarea,Refers to the flow rate of the water body in the i subarea,Refers to the chemical oxygen demand of the water body in the i subarea;
the mathematical model of the inorganic matter pollution coefficient of the subarea is as follows:
Wherein Refers to the inorganic pollution coefficient of the subarea,、Is a constant value, and is a function of the constant,Refers to the PH value of the water body in the i subarea,Refers to the ammonia nitrogen content of the water body in the subarea i,Refers to the total phosphorus content of the water body in the i subarea,Refers to the suspended solid content of the water body in the i subarea,Refers to the content of heavy metals such as mercury, cadmium, lead, chromium, zinc and copper in the water body in the i subarea;
the mathematical model of the sub-region pollution index is as follows:
Wherein Refers to the sub-area pollution index,Refers to the organic matter pollution coefficient of the subarea,Refers to the inorganic pollution coefficient of the subarea;
The mathematical model of the target area pollution index is as follows:
Wherein Refers to the pollution index of the target area,Refers to the sub-area pollution index.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410804465.6A CN118409063B (en) | 2024-06-21 | 2024-06-21 | Water quality detection and analysis system for sewage treatment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410804465.6A CN118409063B (en) | 2024-06-21 | 2024-06-21 | Water quality detection and analysis system for sewage treatment |
Publications (2)
Publication Number | Publication Date |
---|---|
CN118409063A true CN118409063A (en) | 2024-07-30 |
CN118409063B CN118409063B (en) | 2024-09-17 |
Family
ID=92032282
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202410804465.6A Active CN118409063B (en) | 2024-06-21 | 2024-06-21 | Water quality detection and analysis system for sewage treatment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN118409063B (en) |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006274577A (en) * | 2005-03-28 | 2006-10-12 | Toshiba Corp | Water quality predicting device and water quality control device |
KR20130083662A (en) * | 2012-01-13 | 2013-07-23 | 주식회사 씨큐로 | Water quality monitoring system and method of controlling the same |
CN112379070A (en) * | 2020-11-09 | 2021-02-19 | 安庆中春自动化技术有限公司 | River course water environment environmental protection administers pollution sources monitoring management system based on big data |
CN112394152A (en) * | 2020-10-27 | 2021-02-23 | 范玲珍 | Water quality real-time intelligent monitoring analysis management system based on big data |
CN112526097A (en) * | 2020-12-04 | 2021-03-19 | 南京珀煦软件科技有限公司 | Aquaculture water body environment intelligent monitoring management system based on big data analysis |
CN214097139U (en) * | 2020-12-30 | 2021-08-31 | 芯视界(北京)科技有限公司 | Spectral information acquisition and processing device and water quality detection equipment |
CN115389730A (en) * | 2022-09-17 | 2022-11-25 | 武汉鸿驰智能装备有限公司 | Intelligent identification treatment method, system and storage medium for polluted water area |
CN115629190A (en) * | 2022-12-08 | 2023-01-20 | 中农创达(北京)环保科技有限公司 | Agricultural non-point source pollution data management method, device, equipment and medium |
CN116466058A (en) * | 2023-06-15 | 2023-07-21 | 上海博取仪器有限公司 | Water quality detection data processing method, water quality evaluation system, equipment and medium |
CN117035514A (en) * | 2023-08-08 | 2023-11-10 | 上海东振环保工程技术有限公司 | Comprehensive sewage treatment management and control system based on cloud platform |
US20240027419A1 (en) * | 2021-12-30 | 2024-01-25 | Nanjing University | Method and system for intelligent source tracing of organic pollution of water body |
CN118071698A (en) * | 2024-02-22 | 2024-05-24 | 湖北众宜环境工程有限责任公司 | Sewage intelligent monitoring system |
-
2024
- 2024-06-21 CN CN202410804465.6A patent/CN118409063B/en active Active
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006274577A (en) * | 2005-03-28 | 2006-10-12 | Toshiba Corp | Water quality predicting device and water quality control device |
KR20130083662A (en) * | 2012-01-13 | 2013-07-23 | 주식회사 씨큐로 | Water quality monitoring system and method of controlling the same |
CN112394152A (en) * | 2020-10-27 | 2021-02-23 | 范玲珍 | Water quality real-time intelligent monitoring analysis management system based on big data |
CN112379070A (en) * | 2020-11-09 | 2021-02-19 | 安庆中春自动化技术有限公司 | River course water environment environmental protection administers pollution sources monitoring management system based on big data |
CN112526097A (en) * | 2020-12-04 | 2021-03-19 | 南京珀煦软件科技有限公司 | Aquaculture water body environment intelligent monitoring management system based on big data analysis |
CN214097139U (en) * | 2020-12-30 | 2021-08-31 | 芯视界(北京)科技有限公司 | Spectral information acquisition and processing device and water quality detection equipment |
US20240027419A1 (en) * | 2021-12-30 | 2024-01-25 | Nanjing University | Method and system for intelligent source tracing of organic pollution of water body |
CN115389730A (en) * | 2022-09-17 | 2022-11-25 | 武汉鸿驰智能装备有限公司 | Intelligent identification treatment method, system and storage medium for polluted water area |
CN115629190A (en) * | 2022-12-08 | 2023-01-20 | 中农创达(北京)环保科技有限公司 | Agricultural non-point source pollution data management method, device, equipment and medium |
CN116466058A (en) * | 2023-06-15 | 2023-07-21 | 上海博取仪器有限公司 | Water quality detection data processing method, water quality evaluation system, equipment and medium |
CN117035514A (en) * | 2023-08-08 | 2023-11-10 | 上海东振环保工程技术有限公司 | Comprehensive sewage treatment management and control system based on cloud platform |
CN118071698A (en) * | 2024-02-22 | 2024-05-24 | 湖北众宜环境工程有限责任公司 | Sewage intelligent monitoring system |
Non-Patent Citations (1)
Title |
---|
王晖等: "浅谈流域地表水水质监测技术的改进", 《水资源保护》, no. 4, 31 December 2002 (2002-12-31), pages 50 - 51 * |
Also Published As
Publication number | Publication date |
---|---|
CN118409063B (en) | 2024-09-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Allan et al. | Strategic monitoring for the European water framework directive | |
CN112345722A (en) | Water quality monitoring analysis processing system based on big data analysis | |
Boënne et al. | Use of online water quality monitoring for assessing the effects of WWTP overflows in rivers | |
CN114062649B (en) | Soil pollution trend analysis method | |
Besmer et al. | Evaluating monitoring strategies to detect precipitation-induced microbial contamination events in karstic springs used for drinking water | |
CN116340723B (en) | Rural water pollution quick tracing method and system based on big data | |
CN117195135B (en) | Water pollution anomaly traceability detection method and system | |
CN117974404B (en) | Land-land cooperative land-domain pollution source analysis method and system | |
CN114839343B (en) | Portable water quality monitoring and inspecting instrument device and using method | |
CN112685522A (en) | River health management method and system | |
CN113109533A (en) | Water quality online intelligent monitoring, analyzing and processing method based on Internet of things and big data analysis | |
CN117875573B (en) | Water environment evaluation method and system based on biotoxicity and bioavailability | |
CN114897441A (en) | Method for quantitatively measuring and calculating sewage pipeline cleaning mixed flow weight based on conventional water quality index | |
Gullick et al. | Design of early warning monitoring systems for source waters | |
CN112284819A (en) | Sampling method for effluent quality detection of wastewater aeration tank | |
RU2413220C1 (en) | Method for environmental monitoring of hazardous production facilities | |
CN118150487A (en) | River water quality monitoring and evaluating system based on water color remote sensing | |
CN118409063B (en) | Water quality detection and analysis system for sewage treatment | |
CN110781225A (en) | Method for diagnosing concentration level of environmental medium pollutants | |
CN117233342A (en) | Accurate monitoring method and system for river sewage outlet based on confidence interval algorithm | |
CN118604285A (en) | Water quality detection data processing method and system | |
Hauser et al. | Real-time wastewater monitoring as tool to detect clandestine waste discharges into the sewage system | |
CN115420774A (en) | Method for rapidly determining pollutants in soil | |
CN111007220A (en) | Method for agile monitoring of water quality of live pig breeding sewage | |
Guigues et al. | Estimation of the measurement uncertainty, including the contribution arising from sampling, of water quality parameters in surface waters of the Loire-Bretagne river basin, France |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |