Distributed raw water quality real-time monitoring system

Abstract

The invention relates to the technical field of water quality monitoring, in particular to a distributed raw water quality real-time monitoring system which comprises an underground water sampling module, a sample analysis module, a water quality feedback terminal and a data storage terminal. And finally, the water body quality corresponding to the underground water quality in the target raw water body area is fed back to a system interface for interface display, the water quality evaluation can guarantee the safety and sustainability of the water resource, and the water quality evaluation efficiency is improved. Health risks and economic losses caused by water quality pollution are avoided, and underground water quality evaluation has direct influence on public health. Various health problems may be caused by drinking or using the water for a long time, the drinking water safety of residents can be guaranteed, health risks can be found and treated in time, and therefore the health of the residents is protected.

Description

Technical Field

[0001] The invention belongs to the technical field of water quality monitoring and relates to a distributed raw water quality real-time monitoring system. Background Art

[0002] Groundwater plays an important role in drinking water, industrial water and agricultural irrigation systems in all countries and regions. However, rapid urbanization, industrialization and population growth have greatly increased the demand for groundwater resources, put great pressure on groundwater resources, and caused many groundwater problems, such as over-exploitation, water level decline and water quality deterioration. Therefore, it is necessary to increase the intensity of groundwater quality assessment and monitoring to achieve sustainable management and development of groundwater.

[0003] There are still some areas in the existing groundwater quality assessment and analysis that need to be optimized, as shown in the following:

[0004] The current groundwater quality assessment and analysis still has certain limitations, which is not conducive to improving the assessment efficiency and intelligence level of groundwater quality assessment to a certain extent. It is impossible to effectively and timely observe the groundwater quality assessment results, and it is impossible to effectively guarantee the comprehensiveness of groundwater quality assessment and analysis. It is impossible to effectively guarantee the scientificity and reliability of groundwater quality assessment and analysis, and it is impossible to provide accurate data for the follow-up, and it is impossible to improve the accuracy of groundwater quality assessment. Summary of the invention

[0005] In view of the above problems existing in the prior art, the present invention provides a distributed raw water quality real-time monitoring system for solving the above technical problems.

[0006] In order to achieve the above purpose and other purposes, the technical solution adopted by the present invention is as follows:

[0007] A first aspect of the present invention provides a distributed raw water quality real-time monitoring system, the system comprising:

[0008] A groundwater sampling module is used to sample groundwater in each monitoring well within the target raw water body area;

[0009] The sample analysis module is used to record the groundwater samples obtained from each monitoring well in the target raw water body area as groundwater samples, and test and analyze the groundwater samples to comprehensively evaluate the water quality of the corresponding groundwater in the target raw water body area;

[0010] The water quality feedback terminal is used to feed back the water quality of the corresponding groundwater quality in the target raw water area to the system interface for interface display.

[0011] The data storage terminal is used to store the daily per capita consumption corresponding to each water source use and the cross-sectional area of ​​each monitoring well in the target raw water body area.

[0012] Exemplarily, groundwater sampling is performed in each monitoring well in the target raw water body area, and the specific sampling process is as follows:

[0013] Before sample collection, each monitoring well in the target raw water body area shall be pumped for at least 3 minutes to ensure that the collected water samples can accurately reflect the actual condition of groundwater in the target raw water body area. In addition, all sampling containers shall be rinsed with groundwater in the monitoring wells at least three times to reduce the introduction of external impurities. Each water sample shall be stored in a 2.5L white polyethylene bottle, and the collected water samples shall be brought back to the laboratory and refrigerated at 2°C for subsequent sample analysis.

[0014] Exemplarily, the sample analysis module includes a water quality assessment unit and a health assessment unit.

[0015] Exemplarily, the water quality assessment unit tests and analyzes groundwater samples from various locations, and the specific analysis process is as follows:

[0016] The groundwater samples are numbered as 1, 2, ...j, ...m;

[0017] Conduct laboratory data testing on groundwater samples to obtain the actual measured values ​​of various chemical parameters in groundwater samples i represents the number of each chemical parameter, i=1,2,...n;

[0018] The initial matrix of chemical parameters corresponding to each groundwater sample is constructed j represents the number of each groundwater sample, j = 1, 2, ... m;

[0019] The actual measured values ​​of each chemical parameter in each groundwater sample are dimensionless processed to obtain the standardized values ​​of each chemical parameter in each groundwater sample. Among them, (Α ij ) max ,(Α ij ) min They represent the maximum and minimum actual measured values ​​in the initial matrix of each chemical parameter of each groundwater sample;

[0020] And further, the information entropy value δ of each chemical parameter in the groundwater sample i Calculate the weights of each chemical parameter in the groundwater sample n is the total number of chemical parameters;

[0021] Finally, the entropy weight water quality assessment index of the corresponding groundwater quality in the target raw water area is calculated based on the weights of each chemical parameter in the groundwater sample.

[0022] For example, the information entropy value δ of each chemical parameter in the groundwater sample i , the specific calculation formula is as follows:

[0023] The information entropy value of each chemical parameter in the groundwater sample was obtained by calculation Where m represents the total number of groundwater samples, ln represents the natural logarithm, ρ ij It represents the ratio of the standardized value of the i-th chemical parameter of the j-th groundwater sample to the sum of the standardized values ​​of all groundwater samples corresponding to each chemical parameter. The specific calculation formula is as follows:

[0024] is the sum of the standardized values ​​of all samples of the ith chemical parameter.

[0025] Exemplarily, the health assessment unit tests and analyzes groundwater samples from various locations, and the specific analysis process is as follows:

[0026] Extract the daily per capita consumption M corresponding to each water source use in sequence from the data storage terminal r , r represents the number of each water source use, and r takes the values ​​of r1 and r2, where water source uses include oral use r1 and skin contact r2;

[0027] The data is normalized to calculate the hazard assessment index of groundwater quality corresponding to oral water source use in the target raw water area Among them, EF and ED represent the predefined retention frequency and exposure period, CF represents the predefined unit conversion factor, BW represents the predefined weight setting value, AT represents the average time, and the specific acquisition formula is AT=ED*365, C represents the contamination concentration of groundwater quality in the target raw water body area, and RfD represents the reference dose predefined in the test process;

[0028] Calculate the hazard assessment index of groundwater quality in the target raw water area for skin contact water source use Among them, DA, EV, and SA represent the exposure dose, exposure frequency, and accessible skin surface area predefined during the test, respectively;

[0029] Import the daily per capita consumption corresponding to each water source into the risk probability calculation model The carcinogenic risk probability Risk of groundwater quality corresponding to each water source use in the target raw water area is calculated r ;

[0030] The hazard assessment index of groundwater quality in the target raw water area for oral water source use and the hazard assessment index of water source use for skin contact are integrated and recorded as HI r .

[0031] For example, the pollution concentration C of groundwater in the target raw water body area is calculated as follows:

[0032] Measure the water level η at each monitoring point in each monitoring well within the target raw water area yg , and obtain the distance between each monitoring point in each monitoring well and other monitoring points in the target raw water area y represents the number of each monitoring well, y=1,2,...p, g represents the number of each monitoring point, g=1,2,...w, u represents the number of other monitoring points except its own monitoring point, u=1,2,...q;

[0033] The water level gradient of each monitoring well in the target raw water area is calculated by the calculation formula Where w represents the total number of monitoring points, It indicates the water level of the g-th monitoring point in the y-th monitoring well in the target raw water body area corresponding to the u-th other monitoring point;

[0034] Extract the cross-sectional area S of each monitoring well in the target raw water body area from the data storage terminal y , calculate the flow rate Q of each monitoring well in the target raw water area y =-k×S y *dσ y , k represents the predefined permeability coefficient, dσ y Represents the partial derivative of the water level gradient of each monitoring well in the target raw water body area;

[0035] The pollutant concentration of groundwater samples collected from each monitoring well in the target raw water area was obtained through testing. Further inference is used to obtain the pollution concentration of groundwater in the target raw water area. Q represents the reference pollution concentration diffusion ratio corresponding to the predefined unit flow rate.

[0036] For example, the water quality of the corresponding groundwater quality in the target raw water area is comprehensively evaluated, and the specific evaluation process is as follows:

[0037] Step 1: Compare the carcinogenic risk probabilities of groundwater quality corresponding to each water source use in the target raw water body area with the set carcinogenic risk probability reference thresholds. If the carcinogenic risk probabilities of groundwater quality corresponding to each water source use in the target raw water body area are all greater than the set carcinogenic risk probability reference thresholds, the water quality corresponding to the groundwater quality in the target raw water body area is marked as the second level, otherwise, execute step 2;

[0038] Step 2: Compare the hazard assessment index of groundwater quality corresponding to each water source use in the target raw water body area with the set hazard assessment index reference threshold value. If the hazard assessment index of groundwater quality corresponding to each water source use in the target raw water body area is greater than the set hazard assessment index reference threshold value, the water quality corresponding to the groundwater quality in the target raw water body area is marked as the second level, otherwise, execute step 3;

[0039] Step 3: Calculate the water quality assessment coefficient of the corresponding groundwater quality in the target raw water area through the calculation formula Where e is a natural constant, b1, b2 and b3 represent the weights of the predefined entropy-weighted water quality assessment index, hazard assessment index and carcinogenic risk probability corresponding to the water quality assessment coefficient, and b1>b2=b3, ΔΨ, ΔHI, ΔR represent the predefined permitted entropy-weighted water quality assessment index difference, permitted hazard assessment index difference and permitted carcinogenic risk probability difference, Ψ′, HI′, R represent the set entropy-weighted water quality assessment index standard threshold, hazard assessment index standard threshold and carcinogenic risk probability standard threshold, respectively;

[0040] The water quality assessment coefficient of the corresponding groundwater quality in the target raw water body area is compared with the set water quality assessment coefficient reference threshold. If the water quality assessment coefficient of the corresponding groundwater quality in the target raw water body area is greater than the set water quality assessment coefficient reference threshold, the water quality of the corresponding groundwater quality in the target raw water body area is marked as the first level, otherwise it is marked as the second level.

[0041] A second aspect of the present invention provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0042] The processor calls the computer program stored in the memory to execute a distributed real-time monitoring system for raw water quality.

[0043] A third aspect of the present invention provides a computer program product stored on a computer-readable medium, including a computer-readable program, which, when executed on an electronic device, provides a user input interface to implement the distributed raw water quality real-time monitoring system.

[0044] As described above, the distributed raw water quality real-time monitoring system provided by the present invention has at least the following beneficial effects:

[0045] (1) A distributed raw water quality real-time monitoring system provided by the present invention includes a groundwater sampling module, a sample analysis module, a water quality feedback terminal and a data storage terminal. The system samples groundwater from each monitoring well in the target raw water body area, and tests and analyzes each groundwater sample, thereby comprehensively evaluating the water quality of the corresponding groundwater quality in the target raw water body area. Finally, the water quality of the corresponding groundwater quality in the target raw water body area is fed back to the system interface for interface display. Groundwater quality assessment and analysis is a vital environmental monitoring activity, and its benefits and necessity are reflected in multiple aspects. First, groundwater is an important source of water for residents' lives, agricultural irrigation and industrial production in many regions of the world. Water quality assessment can ensure the safety and sustainability of this water resource and avoid health risks and economic losses caused by water pollution. Secondly, groundwater quality assessment helps to identify pollution sources and pollutants at an early stage, which is crucial to preventing the spread of pollution. For example, by monitoring specific chemicals, it can be assessed whether these pollutants exceed the safety threshold. In addition, groundwater quality assessment has a direct impact on public health. Contaminated groundwater may contain microorganisms and chemicals that are harmful to the human body. Long-term drinking or use of such water may lead to various health problems, such as digestive system diseases, nervous system damage and even increased risk of cancer. Regular water quality assessment can ensure the safety of drinking water for residents, detect and deal with health risks in a timely manner, and protect the health of residents.

[0046] (2) The groundwater quality assessment of the embodiments of the present invention can help achieve sustainable water resource management. Groundwater is a complex ecosystem that is closely related to surface water, soil and biodiversity. By assessing the quality of groundwater, we can understand the impact of human activities on the ecosystem, thereby promoting the maintenance of ecological balance. This not only helps to protect biodiversity, but also maintains the ability of nature to purify water resources, which has long-term significance for maintaining the overall health of the earth. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0048] Figure 1 It is a schematic diagram of the connection of each step of the method of the present invention.

[0049] Figure 2 The figure is a schematic structural diagram of an electronic device shown in the present invention. DETAILED DESCRIPTION

[0050] The above contents in combination with the implementation of the present invention are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

[0051] Example 1

[0052] See also Figure 1 As shown, a distributed raw water quality real-time monitoring system includes a groundwater sampling module, a sample analysis module, a water quality feedback terminal and a data storage terminal;

[0053] The sample analysis module is connected to the groundwater sampling module, the water quality feedback terminal and the data storage terminal respectively.

[0054] The groundwater sampling module is used to sample groundwater in each monitoring well within the target raw water body area;

[0055] In a specific embodiment, groundwater sampling is performed in each monitoring well in the target raw water body area, and the specific sampling process is:

[0056] Before sample collection, each monitoring well in the target raw water body area shall be pumped for at least 3 minutes to ensure that the collected water samples can accurately reflect the actual condition of groundwater in the target raw water body area. In addition, all sampling containers shall be rinsed with groundwater in the monitoring wells at least three times to reduce the introduction of external impurities. Each water sample shall be stored in a 2.5L white polyethylene bottle, and the collected water samples shall be brought back to the laboratory and refrigerated at 2°C for subsequent sample analysis.

[0057] The sample analysis module is used to record the groundwater samples obtained from each monitoring well in the target raw water body area as groundwater samples, and test and analyze the groundwater samples to comprehensively evaluate the water quality of the corresponding groundwater in the target raw water body area;

[0058] In a specific embodiment, the sample analysis module includes a water quality assessment unit and a health assessment unit.

[0059] In a specific embodiment, the water quality assessment unit tests and analyzes groundwater samples, and the specific analysis process is as follows:

[0060] The groundwater samples are numbered as 1, 2, ...j, ...m;

[0061] Conduct laboratory data testing on groundwater samples to obtain the actual measured values ​​of various chemical parameters in groundwater samples i represents the number of each chemical parameter, i=1,2,...n;

[0062] It should be added that the chemical parameters include but are not limited to pH, TH, TDS, F - , CL - , HCO 3 - ,I - 、Na + , K + , COD Mn NH 3- N, colony count, total α radioactivity and total β radioactivity.

[0063] The initial matrix of chemical parameters corresponding to each groundwater sample is constructed j represents the number of each groundwater sample, j = 1, 2, ... m;

[0064] The actual measured values ​​of each chemical parameter in each groundwater sample are dimensionless processed to obtain the standardized values ​​of each chemical parameter in each groundwater sample. Among them, (Α ij ) max ,(Α ij ) min They represent the maximum and minimum actual measured values ​​in the initial matrix of each chemical parameter of each groundwater sample;

[0065] And further, the information entropy value δ of each chemical parameter in the groundwater sample i Calculate the weights of each chemical parameter in the groundwater sample n is the total number of chemical parameters;

[0066] Finally, the entropy weight water quality assessment index of the corresponding groundwater quality in the target raw water area is calculated based on the weights of each chemical parameter in the groundwater sample.

[0067] In a specific embodiment, the information entropy value δ of each chemical parameter in the groundwater sample is i , the specific calculation formula is as follows:

[0068] The information entropy value of each chemical parameter in the groundwater sample was obtained by calculation Where m represents the total number of groundwater samples, ln represents the natural logarithm, ρ ij It represents the ratio of the standardized value of the i-th chemical parameter of the j-th groundwater sample to the sum of the standardized values ​​of all groundwater samples corresponding to each chemical parameter. The specific calculation formula is as follows:

[0069] is the sum of the standardized values ​​of all samples of the ith chemical parameter.

[0070] In a specific embodiment, the health assessment unit tests and analyzes groundwater samples from various locations, and the specific analysis process is as follows:

[0071] Extract the daily per capita consumption M corresponding to each water source use in sequence from the data storage terminal r , r represents the number of each water source use, and r takes the values ​​of r1 and r2, where water source uses include oral use r1 and skin contact r2;

[0072] The data is normalized to calculate the hazard assessment index of groundwater quality corresponding to oral water source use in the target raw water area Among them, EF and ED represent the predefined retention frequency and exposure period, CF represents the predefined unit conversion factor, BW represents the predefined weight setting value, AT represents the average time, and the specific acquisition formula is AT=ED*365, C represents the contamination concentration of groundwater quality in the target raw water body area, and RfD represents the reference dose predefined in the test process;

[0073] Calculate the hazard assessment index of groundwater quality in the target raw water area for skin contact water source use Among them, DA, EV, and SA represent the exposure dose, exposure frequency, and accessible skin surface area predefined during the test, respectively;

[0074] It should be added that the exposure frequency (EF) usually refers to how many days in a year one is exposed to a certain pollutant. For example:

[0075] If a person drinks groundwater every day, the exposure frequency can be set as 365 days / year.

[0076] If groundwater is used only during a certain season, such as the three months of summer, the exposure frequency may be 90 days / year. Here, it is assumed to be 365 days / year.

[0077] The exposure period (ED) is the total number of years an individual is exposed to a pollutant during his or her lifetime. This parameter is usually determined based on demographic data and exposure habits of a specific population. For example:

[0078] For the assessment of drinking water, a person's entire life may be considered, set at 70 years, or set based on the country's average life expectancy, which is 70 years here.

[0079] Import the daily per capita consumption corresponding to each water source into the risk probability calculation model The carcinogenic risk probability Risk of groundwater quality corresponding to each water source use in the target raw water area is calculated r ;

[0080] The hazard assessment index of groundwater quality in the target raw water area for oral water source use and the hazard assessment index of water source use for skin contact are integrated and recorded as HI r .

[0081] In a specific embodiment, the pollution concentration C of groundwater in the target raw water body area is calculated as follows:

[0082] Measure the water level η at each monitoring point in each monitoring well within the target raw water area yg , and obtain the distance between each monitoring point in each monitoring well and other monitoring points in the target raw water area y represents the number of each monitoring well, y=1,2,...p, g represents the number of each monitoring point, g=1,2,...w, u represents the number of other monitoring points except its own monitoring point, u=1,2,...q;

[0083] It should be added that the selection process of each monitoring point is: the point where the horizontal plane of each monitoring well is tangent to the wall of each monitoring well is recorded as each monitoring point.

[0084] The water level gradient of each monitoring well in the target raw water area is calculated by the calculation formula Where w represents the total number of monitoring points, It indicates the water level of the g-th monitoring point in the y-th monitoring well in the target raw water body area corresponding to the u-th other monitoring point;

[0085] Extract the cross-sectional area S of each monitoring well in the target raw water body area from the data storage terminal y , calculate the flow rate Q of each monitoring well in the target raw water area y =-k×S y *dσ y , k represents the predefined permeability coefficient, dσ y Represents the partial derivative of the water level gradient of each monitoring well in the target raw water body area;

[0086] The pollutant concentration of groundwater samples collected from each monitoring well in the target raw water area was obtained through testing. Further inference is used to obtain the pollution concentration of groundwater in the target raw water area. Q represents the reference pollution concentration diffusion ratio corresponding to the predefined unit flow rate.

[0087] In a specific embodiment, the water quality of the corresponding groundwater quality in the target raw water body area is comprehensively evaluated, and the specific evaluation process is as follows:

[0088] Step 1: Compare the carcinogenic risk probabilities of groundwater quality corresponding to each water source use in the target raw water body area with the set carcinogenic risk probability reference thresholds. If the carcinogenic risk probabilities of groundwater quality corresponding to each water source use in the target raw water body area are all greater than the set carcinogenic risk probability reference thresholds, the water quality corresponding to the groundwater quality in the target raw water body area is marked as the second level, otherwise, execute step 2;

[0089] Step 2: Compare the hazard assessment index of groundwater quality corresponding to each water source use in the target raw water body area with the set hazard assessment index reference threshold value. If the hazard assessment index of groundwater quality corresponding to each water source use in the target raw water body area is greater than the set hazard assessment index reference threshold value, the water quality corresponding to the groundwater quality in the target raw water body area is marked as the second level, otherwise, execute step 3;

[0090] Step 3: Calculate the water quality assessment coefficient of the corresponding groundwater quality in the target raw water area through the calculation formula Where e is a natural constant, b1, b2 and b3 represent the weights of the predefined entropy-weighted water quality assessment index, hazard assessment index and carcinogenic risk probability corresponding to the water quality assessment coefficient, and b1>b2=b3, ΔΨ, ΔHI, ΔR represent the predefined permitted entropy-weighted water quality assessment index difference, permitted hazard assessment index difference and permitted carcinogenic risk probability difference, Ψ′, HI′, R represent the set entropy-weighted water quality assessment index standard threshold, hazard assessment index standard threshold and carcinogenic risk probability standard threshold, respectively;

[0091] The water quality assessment coefficient of the corresponding groundwater quality in the target raw water body area is compared with the set water quality assessment coefficient reference threshold. If the water quality assessment coefficient of the corresponding groundwater quality in the target raw water body area is greater than the set water quality assessment coefficient reference threshold, the water quality of the corresponding groundwater quality in the target raw water body area is marked as the first level, otherwise it is marked as the second level.

[0092] It should be added that the first level indicates good water quality and the second level indicates poor water quality.

[0093] The water quality feedback terminal is used to feed back the water quality of the corresponding groundwater quality in the target raw water body area to the system interface for interface display.

[0094] The data storage terminal is used to store the daily per capita consumption corresponding to each water source use and the cross-sectional area of ​​each monitoring well in the target raw water body area.

[0095] A distributed raw water quality real-time monitoring system provided by the present invention includes a groundwater sampling module, a sample analysis module, a water quality feedback terminal and a data storage terminal. By sampling groundwater in each monitoring well in the target raw water body area, and testing and analyzing each groundwater sample, the water quality of the corresponding groundwater quality in the target raw water body area is comprehensively evaluated, and finally the water quality of the corresponding groundwater quality in the target raw water body area is evaluated and fed back to the system interface for interface display. Groundwater quality assessment and analysis is a vital environmental monitoring activity, and its benefits and necessity are reflected in multiple levels. First, groundwater is an important source of water for residents' lives, agricultural irrigation and industrial production in many regions of the world. Water quality assessment can ensure the safety and sustainability of this water resource, avoid health risks and economic losses caused by water pollution, and secondly, groundwater quality assessment helps to identify pollution sources and pollutants early, which is crucial to preventing the spread of pollution. For example, by monitoring specific chemicals, it can be assessed whether these pollutants exceed the safety threshold. In addition, groundwater quality assessment has a direct impact on public health. Contaminated groundwater may contain microorganisms and chemicals that are harmful to the human body. Long-term drinking or use of such water may lead to various health problems, such as digestive system diseases, nervous system damage and even increased risk of cancer. Regular water quality assessment can ensure the safety of drinking water for residents, detect and deal with health risks in a timely manner, and protect the health of residents.

[0096] Example 2

[0097] An electronic device according to an exemplary embodiment includes: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0098] The processor executes the above-mentioned distributed real-time monitoring system for raw water quality by calling the computer program stored in the memory.

[0099] Figure 2 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (Central ProcessingUn its, CPU) and one or more memories, wherein at least one computer program is stored in the memory, and the at least one computer program is loaded and executed by the processor to implement a distributed raw water quality real-time monitoring system provided in the above-mentioned various method embodiments.

[0100] The electronic device may also include other components for realizing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input / output interface for input and output. The embodiments of the present application will not be described in detail here.

[0101] This embodiment also provides a computer program product stored on a computer-readable medium, including a computer-readable program, which, when executed on an electronic device, provides a user input interface to implement the distributed raw water quality real-time monitoring system.

[0102] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0103] It should be understood that determining B based on A does not mean determining B only based on A. B can also be determined based on A and / or other information.

[0104] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0105] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A distributed real-time monitoring system for raw water quality, characterized in that: The system includes: A groundwater sampling module is used to sample groundwater in each monitoring well within the target raw water body area; The sample analysis module is used to record the groundwater samples obtained from each monitoring well in the target raw water body area as groundwater samples, and test and analyze the groundwater samples to comprehensively evaluate the water quality of the corresponding groundwater in the target raw water body area; The water quality feedback terminal is used to feed back the water quality of the corresponding groundwater quality in the target raw water area to the system interface for interface display; The data storage terminal is used to store the daily per capita consumption corresponding to each water source use and the cross-sectional area of ​​each monitoring well in the target raw water body area.

2. A distributed raw water quality real-time monitoring system according to claim 1, characterized in that: Groundwater sampling is carried out in each monitoring well within the target raw water body area. The specific sampling process is as follows: Before sample collection, each monitoring well in the target raw water body area shall be pumped for at least 3 minutes to ensure that the collected water samples can accurately reflect the actual condition of groundwater in the target raw water body area. In addition, all sampling containers shall be rinsed with groundwater in the monitoring wells at least three times to reduce the introduction of external impurities. Each water sample shall be stored in a 2.5L white polyethylene bottle, and the collected water samples shall be brought back to the laboratory and refrigerated at 2°C for subsequent sample analysis.

3. A distributed raw water quality real-time monitoring system according to claim 1, characterized in that: The sample analysis module includes a water quality assessment unit and a health assessment unit.

4. A distributed raw water quality real-time monitoring system according to claim 3, characterized in that: In the water quality assessment unit, groundwater samples are tested and analyzed. The specific analysis process is as follows: The groundwater samples are numbered as 1, 2, ...j, ...m; Conduct laboratory data testing on groundwater samples to obtain the actual measured values ​​of various chemical parameters in groundwater samples i represents the number of each chemical parameter, i=1,2,...n; The initial matrix of chemical parameters corresponding to each groundwater sample is constructed j represents the number of each groundwater sample, j = 1, 2, ... m; The actual measured values ​​of each chemical parameter in each groundwater sample are dimensionless processed to obtain the standardized values ​​of each chemical parameter in each groundwater sample. Among them, (Α ij ) max ,(Α ij ) min They represent the maximum and minimum actual measured values ​​in the initial matrix of each chemical parameter of each groundwater sample; And further, the information entropy value δ of each chemical parameter in the groundwater sample i Calculate the weights of each chemical parameter in the groundwater sample n is the total number of chemical parameters; Finally, the entropy weight water quality assessment index of the corresponding groundwater quality in the target raw water area is calculated based on the weights of each chemical parameter in the groundwater sample.

5. A distributed raw water quality real-time monitoring system according to claim 3, characterized in that: Information entropy value δ of each chemical parameter in groundwater samples i , the specific calculation formula is as follows: The information entropy value of each chemical parameter in the groundwater sample was obtained by calculation Where m represents the total number of groundwater samples, ln represents the natural logarithm, ρ ij It represents the ratio of the standardized value of the i-th chemical parameter of the j-th groundwater sample to the sum of the standardized values ​​of all groundwater samples corresponding to each chemical parameter. The specific calculation formula is as follows: is the sum of the standardized values ​​of all samples of the ith chemical parameter.

6. A distributed raw water quality real-time monitoring system according to claim 1, characterized in that: In the health assessment unit, groundwater samples from various locations are tested and analyzed. The specific analysis process is as follows: Extract the daily per capita consumption M corresponding to each water source use in sequence from the data storage terminal r , r represents the number of each water source use, and r takes the values ​​of r1 and r2, where water source uses include oral use r1 and skin contact r2; The data is normalized to calculate the hazard assessment index of groundwater quality corresponding to oral water source use in the target raw water area Among them, EF and ED represent the predefined retention frequency and exposure period, CF represents the predefined unit conversion factor, BW represents the predefined weight setting value, AT represents the average time, and the specific acquisition formula is AT=ED*365, C represents the contamination concentration of groundwater quality in the target raw water body area, and RfD represents the reference dose predefined in the test process; Calculate the hazard assessment index of groundwater quality in the target raw water area for skin contact water source use Among them, DA, EV, and SA represent the exposure dose, exposure frequency, and accessible skin surface area predefined during the test, respectively; Import the daily per capita consumption corresponding to each water source into the risk probability calculation model The carcinogenic risk probability Risk of groundwater quality corresponding to each water source use in the target raw water area is calculated r ; The hazard assessment index of groundwater quality in the target raw water area for oral water source use and the hazard assessment index of water source use for skin contact are integrated and recorded as HI r .

7. A distributed real-time monitoring system for raw water quality according to claim 6, characterized in that: The pollution concentration C of groundwater in the target raw water area is calculated as follows: Measure the water level η at each monitoring point in each monitoring well within the target raw water area yg , and obtain the distance between each monitoring point in each monitoring well and other monitoring points in the target raw water area y represents the number of each monitoring well, y=1,2,...p, g represents the number of each monitoring point, g=1,2,...w, u represents the number of other monitoring points except its own monitoring point, u=1,2,...q; The water level gradient of each monitoring well in the target raw water area is calculated by the calculation formula Where w represents the total number of monitoring points, It indicates the water level of the g-th monitoring point in the y-th monitoring well in the target raw water body area corresponding to the u-th other monitoring point; Extract the cross-sectional area S of each monitoring well in the target raw water body area from the data storage terminal y , calculate the flow rate Q of each monitoring well in the target raw water area y =-k×S y *dσ y , k represents the predefined permeability coefficient, dσ y Represents the partial derivative of the water level gradient of each monitoring well in the target raw water body area; The pollutant concentration of groundwater samples collected from each monitoring well in the target raw water area was obtained through testing. Further inference is used to obtain the pollution concentration of groundwater in the target raw water area. Q represents the reference pollution concentration diffusion ratio corresponding to the predefined unit flow rate.

8. A distributed raw water quality real-time monitoring system according to claim 7, characterized in that: Comprehensively evaluate the water quality of the corresponding groundwater quality in the target raw water area. The specific evaluation process is as follows: Step 1: Compare the carcinogenic risk probabilities of groundwater quality corresponding to each water source use in the target raw water body area with the set carcinogenic risk probability reference thresholds. If the carcinogenic risk probabilities of groundwater quality corresponding to each water source use in the target raw water body area are all greater than the set carcinogenic risk probability reference thresholds, the water quality corresponding to the groundwater quality in the target raw water body area is marked as the second level, otherwise, execute step 2; Step 2: Compare the hazard assessment index of groundwater quality corresponding to each water source use in the target raw water body area with the set hazard assessment index reference threshold value. If the hazard assessment index of groundwater quality corresponding to each water source use in the target raw water body area is greater than the set hazard assessment index reference threshold value, the water quality corresponding to the groundwater quality in the target raw water body area is marked as the second level, otherwise, execute step 3; Step 3: Calculate the water quality assessment coefficient of the corresponding groundwater quality in the target raw water area through the calculation formula Where e is a natural constant, b1, b2 and b3 represent the weights of the predefined entropy-weighted water quality assessment index, hazard assessment index and carcinogenic risk probability corresponding to the water quality assessment coefficient, and b1>b2=b3, ΔΨ, ΔHI, ΔR represent the predefined permitted entropy-weighted water quality assessment index difference, permitted hazard assessment index difference and permitted carcinogenic risk probability difference, Ψ′, HI′, R represent the set entropy-weighted water quality assessment index standard threshold, hazard assessment index standard threshold and carcinogenic risk probability standard threshold, respectively; The water quality assessment coefficient of the corresponding groundwater quality in the target raw water body area is compared with the set water quality assessment coefficient reference threshold. If the water quality assessment coefficient of the corresponding groundwater quality in the target raw water body area is greater than the set water quality assessment coefficient reference threshold, the water quality of the corresponding groundwater quality in the target raw water body area is marked as the first level, otherwise it is marked as the second level.

9. An electronic device, characterized in that: include: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes a distributed raw water quality real-time monitoring system as described in any one of claims 1 to 7 by calling the computer program stored in the memory.

10. A computer program product stored on a computer readable medium, characterized in that: It comprises a computer-readable program, which, when executed on an electronic device, provides a user input interface to implement a distributed raw water quality real-time monitoring system as described in any one of claims 1-7.

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