A method and system for automatically detecting local raw water quality

Abstract

The invention relates to the field of water quality detection, and discloses an automatic detection method and system based on local raw water quality. The method monitors and collects current water quality parameters in water samples, transmits the collected current water quality parameters to a data processing center for processing and feature analysis, combines the current water quality parameters with historical water quality parameters obtained from a database to analyze the changing trend and specific fluctuation of the water quality state, evaluates the current water quality health state through a calculated water quality health state assessment coefficient, detects the water quality health state, feeds back abnormal water quality health state, notifies management personnel to adjust the water quality state, and uses the water quality state monitoring coefficient to monitor and feed back the water quality state adjustment process in real time, which is conducive to detecting abnormal water quality problems and issuing early warning signals, avoiding errors and uncertainties in the manual sampling process, thereby improving the timeliness and detection efficiency of water quality management.

Description

Technical Field

[0001] The present invention relates to the technical field of water quality detection, and more specifically to an automatic detection method and system based on local raw water quality. Background Art

[0002] As people's requirements for water quality safety continue to increase, higher requirements are also placed on the accuracy and real-time performance of water quality monitoring. Traditional monitoring methods can no longer meet these requirements, so the application of automatic monitoring methods has become more and more widespread. Due to differences in geographical environment, climatic conditions, industrial layout and other factors in various regions, there are also large differences in raw water quality. Therefore, it is of great significance to develop suitable automatic detection methods based on the characteristics of local raw water quality. The automatic water quality monitoring system is a comprehensive online automatic monitoring system composed of online automatic analysis instruments as the core, combined with modern sensing technology, automatic measurement technology, automatic control technology, computer application technology, and related professional analysis software and communication networks. It transforms water quality monitoring from traditional manual sampling and laboratory analysis to continuous, real-time online monitoring, greatly improving the efficiency and accuracy of monitoring;

[0003] However, the above process still has the following disadvantages:

[0004] First, the traditional water quality testing method is complicated, time-consuming, and has large errors due to the manual operation of various instruments and equipment. It is impossible to quickly and accurately measure and automatically analyze water quality parameters, resulting in low efficiency of data analysis;

[0005] Second, existing technologies are often unable to monitor changes in water quality parameters in real time and warn of abnormal water quality conditions, making it difficult to discover and deal with water quality problems in a timely manner. In addition, there is a lack of combining current water quality parameters with historical water quality parameters to analyze the water quality change process, resulting in inaccurate water quality test results. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, the present invention provides an automatic detection method and system based on local raw water quality to solve the problems existing in the above-mentioned background technology.

[0007] The present invention provides the following technical solution: an automatic detection method based on local raw water quality, comprising:

[0008] S1: The raw water sample is automatically extracted by a self-priming sampling water pump, and then the extracted water sample is pre-treated through a sediment filter, and the pre-treated water sample is stored;

[0009] S2: monitor and collect current water quality parameters from the pre-treated water sample through water quality sensors, including physical parameters, chemical parameters and biological parameters, and transmit the collected current water quality parameters to S3;

[0010] S3: The data processing center processes and stores the collected current water quality parameters, performs feature analysis on the processed current water quality parameters, obtains the current water quality state fluctuation value, and transmits the current water quality state fluctuation value after feature analysis to S5;

[0011] S4: automatically obtain historical water quality parameters within a period of time from the database, analyze the water quality change state through the historical water quality parameters, obtain the water quality state change value, and transmit the water quality state change value to S5;

[0012] S5: By comparing and analyzing the current water quality parameters with the historical water quality parameters, a water quality change state difference index is obtained, and the change trend and specific fluctuation of the water quality state are monitored in real time according to the water quality change state difference index, and the comparison and analysis results are transmitted to S6;

[0013] S6: Calculate the water quality health status assessment coefficient by comparing the analysis results, evaluate the current water quality health status by the water quality health status assessment coefficient, and transmit the water quality health status assessment coefficient to S7;

[0014] S7: By comparing the water quality health status assessment coefficient with the water quality health status threshold, the water quality health status is detected. If the water quality health status is detected to be abnormal, the abnormal result is transmitted to S8;

[0015] S8: Feedback abnormal water quality health conditions and notify management personnel to adjust the water quality conditions;

[0016] S9: Through real-time monitoring of the water quality adjustment process and calculating the water quality monitoring coefficient, the water quality adjustment process is monitored in real time according to the water quality monitoring coefficient, and prompt information is automatically generated according to the monitoring results to provide feedback to the management personnel.

[0017] Preferably, the S1 installs a self-priming sampling water pump in the water body and sets the water sampling frequency on a daily basis, thereby automatically extracting raw water samples at regular intervals, and then transporting the extracted water samples to a sediment filter through a pipeline to remove suspended matter, sediment and large particles in the water samples to pre-treat the water samples, and the pre-treated water samples are stored in a sampling container.

[0018] Preferably, the S2 interacts with substances in the water sample through the measuring elements inside the water quality sensor, thereby monitoring and measuring water quality parameters, and then the water quality sensor converts the measured water quality parameters into digital signals in the form of electrical signals and inputs them into the data processing center. The water quality sensor includes a pH sensor, a dissolved oxygen sensor, a conductivity sensor, a turbidity sensor and a biofilm-based sensor. The physical parameters include temperature, turbidity and conductivity. The chemical parameters include pH value, dissolved oxygen content, ammonia nitrogen content, nitrate content, phosphate content, organic pollutant content and heavy metal ion content. The biological parameters include total bacteria count, total E. coli count and blue-green algae content.

[0019] Preferably, the S3 processes the current water quality parameters through the data processing center, including data cleaning, data standardization and data integration, and stores the processed water quality parameters in the database in the order of collection time, and then extracts the water quality parameters that affect the health of the water quality, including temperature, turbidity, dissolved oxygen content, organic pollutant content and blue-green algae content, and generates a water quality parameter set , analyze and calculate the current water quality fluctuation value , Indicates the i-th current collection The content of water quality parameters, express The average value of water quality parameter content, n represents the total number of times the current water quality parameter is collected, is the weight coefficient.

[0020] Preferably, the S4 is performed by Analyze historical water quality parameters and calculate the water quality status change value to monitor the overall change trend and specific fluctuation of water quality status in real time;

[0021] The analysis method of the water quality state change value is:

[0022] Step S411: First, analyze the difference value of each historical water quality parameter within a period of time separately. , Indicates the maximum value of the j-th historical water quality parameter content within a period of history. Indicates the minimum value of the jth historical water quality parameter content within a historical period;

[0023] Step S412: Analyze the standard deviation of each historical water quality parameter within a historical period separately , It represents the average value of the kth measurement content of the jth historical water quality parameter within a historical period. represents the comprehensive mean of the average values ​​of the j-th historical water quality parameter content within a historical period, and K represents the total number of measurements of the j-th historical water quality parameter;

[0024] Step S413: Calculate the water quality status change value by analyzing all historical water quality parameters within a period of time. , represents the weight coefficient of the jth historical water quality parameter, and m represents the total number of historical water quality parameters.

[0025] Preferably, S5 combines the current water quality parameters with the historical water quality parameters to analyze the changes in the water quality parameters in detail, calculates the water quality change state difference index to monitor the current water quality state changes in real time, and displays the trend of water quality state changes in a visual manner;

[0026] The calculation formula of the water quality change state difference index is: , X represents the current water quality state fluctuation value, and P represents the water quality state change value.

[0027] Preferably, S6 comprehensively calculates the water quality health status assessment coefficient by comparing and analyzing the water quality parameters in combination with the current water quality parameters and the historical water quality parameters. , Q represents the water quality change state difference index.

[0028] Preferably, the step S7 presets a water quality health threshold. Compare with the water quality health assessment coefficient C to detect the water quality health status. If the water quality health assessment coefficient C Water quality health thresholds , indicating that the current water quality is in good health. Continue to monitor the water quality. If the water quality health assessment coefficient C Water quality health thresholds , indicating that the current water quality health status is abnormal and the test results need to be transmitted to S8 immediately.

[0029] Preferably, when the S8 detects abnormal water quality health conditions, it immediately issues a water quality warning message, and records the time and place of the abnormal phenomenon and the specific manifestations of the water quality through the water quality monitoring equipment, and automatically generates a water quality monitoring report based on the records of the water quality monitoring equipment, and sends the water quality warning information and water quality monitoring report to the management personnel responsible for water quality management in the form of text messages, and prompts the management personnel to adjust the water quality conditions.

[0030] Preferably, the S9 monitors the water quality adjustment process in real time through the management personnel, and calculates the water quality monitoring coefficient as , through the value of the water quality monitoring coefficient, the management personnel's adjustment process of the water quality condition is monitored in real time until the range value of the water quality monitoring coefficient is monitored to be (-∞,0], a prompt message is immediately generated, and the adjustment result is fed back to the management personnel, prompting the management personnel that the adjustment of the water quality condition has reached the health standard.

[0031] To achieve the above object, the present invention provides the following technical solution: an automatic detection system based on local raw water quality, implementing the above automatic detection method based on local raw water quality, including:

[0032] Water sample acquisition module: The raw water sample is automatically extracted through a self-priming sampling water pump, and then the extracted water sample is pre-treated through a sediment filter, and the pre-treated water sample is stored;

[0033] Water quality parameter acquisition module: monitors and collects current water quality parameters from pre-treated water samples through water quality sensors, including physical parameters, chemical parameters and biological parameters;

[0034] Water quality parameter processing module: The data processing center processes and stores the collected current water quality parameters, and then performs feature analysis on the processed current water quality parameters to obtain the current water quality state fluctuation value;

[0035] Historical water quality parameter acquisition module: automatically obtains historical water quality parameters within a period of time from the database, analyzes the water quality change state through the historical water quality parameters, and obtains the water quality state change value;

[0036] Water quality status analysis module: By comparing and analyzing the current water quality parameters with the historical water quality parameters, the water quality change status difference index is obtained, and the change trend and specific fluctuation of the water quality status are monitored in real time according to the water quality change status difference index;

[0037] Water quality health status assessment module: Calculate the water quality health status assessment coefficient by comparing the analysis results, and assess the current water quality health status through the water quality health status assessment coefficient;

[0038] Water quality health status detection module: by comparing the water quality health status assessment coefficient with the water quality health status threshold, the water quality health status is detected, if the water quality health status is detected to be abnormal;

[0039] Water quality health status feedback module: feedback abnormal water quality health status and notify management personnel to adjust the water quality status;

[0040] Water quality adjustment monitoring module: through real-time monitoring of the water quality adjustment process, and calculate the water quality monitoring coefficient, the water quality adjustment process is monitored in real time according to the water quality monitoring coefficient, and prompt information is automatically generated according to the monitoring results to provide feedback to the management personnel.

[0041] Technical effects and advantages of the present invention:

[0042] The present invention sets the sampling frequency by a self-priming sampling water pump to automatically extract raw water samples regularly, pre-treats the raw water samples, monitors and collects current water quality parameters from the pre-treated water samples by a water quality sensor, transmits the collected current water quality parameters to a data processing center for processing and feature analysis, analyzes the change of water quality status by automatically acquiring historical water quality parameters within a period of historical time from a database, analyzes the change trend and specific fluctuation of the water quality status by combining the current water quality parameters with the historical water quality parameters, calculates the water quality health status assessment coefficient by comparing the analysis results, assesses the current water quality health status by the water quality health status assessment coefficient, and then assesses the water quality health status. The detection will provide feedback on abnormal water quality health conditions, notify management personnel to adjust the water quality conditions, and use the water quality status monitoring coefficient to monitor and feedback the water quality status adjustment process in real time. The sampling frequency is set by a self-priming sampling pump to regularly collect and pre-process water samples, avoiding errors and uncertainties in the manual sampling process, which is beneficial to improving the accuracy and reliability of sampling. By real-time monitoring of changes in water quality parameters and combining current water quality parameters with historical water quality parameters to analyze the water quality change process, abnormal water quality problems can be detected in time and early warning signals can be issued. Real-time monitoring and feedback of the water quality status adjustment process are then carried out, which is beneficial to improving the timeliness of water quality management and detection efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a diagram of the method steps of the present invention.

[0044] Figure 2 It is a system structure block diagram of the present invention. DETAILED DESCRIPTION

[0045] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. In addition, the forms of the various structures recorded in the following embodiments are merely illustrative. The present invention involves an automatic detection method and system based on local raw water quality. It is not limited to the various structures recorded in the following embodiments. All other implementations obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0046] like Figure 1The embodiment shown provides an automatic detection method based on local raw water quality, including:

[0047] S1: The raw water sample is automatically extracted by a self-priming sampling water pump, and then the extracted water sample is pre-treated through a sediment filter, and the pre-treated water sample is stored.

[0048] In this embodiment, the S1 installs a self-priming sampling water pump in the water body and sets the water sample collection frequency on a daily basis, thereby automatically extracting raw water samples at regular intervals, and then transporting the extracted water samples to the sediment filter through a pipeline to remove suspended matter, sediment and large particles in the water samples to pre-treat the water samples, and the pre-treated water samples are stored in a sampling container.

[0049] S2: Monitor and collect current water quality parameters, including physical parameters, chemical parameters, and biological parameters, from the pre-treated water sample through a water quality sensor, and transmit the collected current water quality parameters to S3.

[0050] In this embodiment, the S2 interacts with substances in the water sample through the measuring elements inside the water quality sensor, thereby monitoring and measuring water quality parameters, and then the water quality sensor converts the measured water quality parameters into digital signals in the form of electrical signals and inputs them into the data processing center. The water quality sensor includes a pH sensor, a dissolved oxygen sensor, a conductivity sensor, a turbidity sensor and a biofilm-based sensor. The physical parameters include temperature, turbidity and conductivity. The chemical parameters include pH value, dissolved oxygen content, ammonia nitrogen content, nitrate content, phosphate content, organic pollutant content and heavy metal ion content. The biological parameters include total bacteria count, total Escherichia coli count and blue-green algae content.

[0051] S3: The data processing center processes and stores the collected current water quality parameters, performs feature analysis on the processed current water quality parameters, obtains the current water quality state fluctuation value, and transmits the current water quality state fluctuation value after feature analysis to S5.

[0052] In this embodiment, the S3 processes the current water quality parameters through the data processing center, including data cleaning, data standardization and data integration, and stores the processed water quality parameters in the database in the order of collection time, and then extracts the water quality parameters that affect the health of the water quality, including temperature, turbidity, dissolved oxygen content, organic pollutant content and blue-green algae content, and generates a water quality parameter set , analyze and calculate the current water quality fluctuation value , Indicates the i-th current collection The content of water quality parameters, express The average value of water quality parameter content, n represents the total number of times the current water quality parameter is collected, is the weight coefficient.

[0053] S4: Automatically obtain historical water quality parameters within a historical period from the database, analyze the water quality change state through the historical water quality parameters, obtain the water quality state change value, and transmit the water quality state change value to S5.

[0054] In this embodiment, S4 is performed by Analyze historical water quality parameters and calculate the water quality status change value to monitor the overall change trend and specific fluctuation of water quality status in real time;

[0055] The analysis method of the water quality state change value is:

[0056] Step S411: First, analyze the difference value of each historical water quality parameter within a period of time separately. , Indicates the maximum value of the j-th historical water quality parameter content within a period of history. Indicates the minimum value of the jth historical water quality parameter content within a historical period;

[0057] Step S412: Analyze the standard deviation of each historical water quality parameter within a historical period separately , It represents the average value of the kth measurement content of the jth historical water quality parameter within a historical period. represents the comprehensive mean of the average values ​​of the j-th historical water quality parameter content within a historical period, and K represents the total number of measurements of the j-th historical water quality parameter;

[0058] Step S413: Calculate the water quality status change value by analyzing all historical water quality parameters within a period of time. , represents the weight coefficient of the jth historical water quality parameter, and m represents the total number of historical water quality parameters.

[0059] S5: By comparing and analyzing the current water quality parameters with the historical water quality parameters, the water quality change state difference index is obtained. According to the water quality change state difference index, the change trend and specific fluctuation of the water quality state are monitored in real time, and the comparison and analysis results are transmitted to S6.

[0060] In this embodiment, S5 combines the current water quality parameters with the historical water quality parameters to analyze the changes in the water quality parameters in detail, calculates the water quality change state difference index to monitor the current water quality state changes in real time, and displays the trend of water quality state changes in a visual manner;

[0061] The calculation formula of the water quality change state difference index is: , X represents the current water quality state fluctuation value, and P represents the water quality state change value.

[0062] S6: Calculate a water quality health status assessment coefficient by comparing the analysis results, evaluate the current water quality health status by the water quality health status assessment coefficient, and transmit the water quality health status assessment coefficient to S7.

[0063] In this embodiment, S6 comprehensively calculates the water quality health assessment coefficient by comparing and analyzing the water quality parameters by combining the current water quality parameters with the historical water quality parameters. , Q represents the water quality change state difference index.

[0064] S7: By comparing the water quality health status assessment coefficient with the water quality health status threshold, the water quality health status is detected. If the water quality health status is detected to be abnormal, the abnormal result is transmitted to S8.

[0065] In this embodiment, S7 presets a water quality health threshold Compare with the water quality health assessment coefficient C to detect the water quality health status. If the water quality health assessment coefficient C Water quality health thresholds , indicating that the current water quality is in good health. Continue to monitor the water quality. If the water quality health assessment coefficient C Water quality health thresholds , indicating that the current water quality health status is abnormal and the test results need to be transmitted to S8 immediately.

[0066] S8: Provide feedback on abnormal water quality conditions and notify management personnel to adjust the water quality conditions.

[0067] In this embodiment, when the S8 detects abnormal water quality health conditions, it immediately issues a water quality warning message, and records the time, location and specific water quality conditions of the abnormal phenomenon through the water quality monitoring equipment, and automatically generates a water quality monitoring report based on the records of the water quality monitoring equipment. The water quality warning information and water quality monitoring report are sent to the management personnel responsible for water quality management in the form of text messages, and the management personnel are prompted to adjust the water quality conditions.

[0068] S9: Through real-time monitoring of the water quality adjustment process and calculating the water quality monitoring coefficient, the water quality adjustment process is monitored in real time according to the water quality monitoring coefficient, and prompt information is automatically generated according to the monitoring results to provide feedback to the management personnel.

[0069] In this embodiment, the S9 monitors the water quality adjustment process in real time through the management personnel, and calculates the water quality monitoring coefficient as follows: , through the value of the water quality monitoring coefficient, the management personnel's adjustment process of the water quality condition is monitored in real time until the range value of the water quality monitoring coefficient is monitored to be (-∞,0], a prompt message is immediately generated, and the adjustment result is fed back to the management personnel, prompting the management personnel that the adjustment of the water quality condition has reached the health standard.

[0070] like Figure 2 The embodiment shown provides an implementation system corresponding to an automatic detection method based on local raw water quality, including a water sample acquisition module, a water quality parameter acquisition module, a water quality parameter processing module, a historical water quality parameter acquisition module, a water quality status analysis module, a water quality health status assessment module, a water quality health status detection module, a water quality health status feedback module and a water quality status adjustment monitoring module, wherein the water sample acquisition module is connected to the water quality parameter acquisition module, the water quality parameter acquisition module is connected to the water quality parameter processing module, the water quality parameter processing module is connected to the water quality status analysis module, the historical water quality parameter acquisition module is connected to the water quality status analysis module, the water quality status analysis module is connected to the water quality health status assessment module, the water quality health status assessment module is connected to the water quality health status detection module, the water quality health status detection module is connected to the water quality health status feedback module, and the water quality health status feedback module is connected to the water quality status adjustment monitoring module.

[0071] The water sample acquisition module automatically extracts raw water samples through a self-priming sampling water pump, then pre-treats the extracted water samples through a sediment filter, and stores the pre-treated water samples;

[0072] The water quality parameter acquisition module monitors and acquires current water quality parameters, including physical parameters, chemical parameters and biological parameters, from the pre-treated water sample through a water quality sensor;

[0073] The water quality parameter processing module processes and stores the collected current water quality parameters through the data processing center, and then performs feature analysis on the processed current water quality parameters to obtain the current water quality state fluctuation value;

[0074] The historical water quality parameter acquisition module automatically obtains historical water quality parameters within a period of history from the database, analyzes the water quality change state through the historical water quality parameters, and obtains the water quality state change value;

[0075] The water quality status analysis module obtains a water quality change status difference index by comparing and analyzing the current water quality parameters with the historical water quality parameters, and monitors the change trend and specific fluctuation of the water quality status in real time according to the water quality change status difference index;

[0076] The water quality health status assessment module calculates the water quality health status assessment coefficient by comparing the analysis results, and assesses the current water quality health status by the water quality health status assessment coefficient;

[0077] The water quality health status detection module detects the water quality health status by comparing the water quality health status assessment coefficient with the water quality health status threshold, and if the water quality health status is detected to be abnormal;

[0078] The water quality health status feedback module feeds back abnormal water quality health status and notifies the management personnel to adjust the water quality status;

[0079] The water quality adjustment monitoring module monitors the water quality adjustment process in real time and calculates the water quality monitoring coefficient. It monitors the water quality adjustment process in real time according to the water quality monitoring coefficient and automatically generates prompt information based on the monitoring results to provide feedback to the management personnel.

[0080] 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.

[0081] 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.

Claims

1. An automatic detection method based on local raw water quality, characterized in that: include: S1: The raw water sample is automatically extracted by a self-priming sampling water pump, and then the extracted water sample is pre-treated through a sediment filter, and the pre-treated water sample is stored; S2: monitor and collect current water quality parameters from the pre-treated water sample through water quality sensors, including physical parameters, chemical parameters and biological parameters, and transmit the collected current water quality parameters to S3; S3: The data processing center processes and stores the collected current water quality parameters, performs feature analysis on the processed current water quality parameters, obtains the current water quality state fluctuation value, and transmits the current water quality state fluctuation value after feature analysis to S5; S4: automatically obtain historical water quality parameters within a period of time from the database, analyze the water quality change state through the historical water quality parameters, obtain the water quality state change value, and transmit the water quality state change value to S5; S5: By comparing and analyzing the current water quality parameters with the historical water quality parameters, a water quality change state difference index is obtained, and the change trend and specific fluctuation of the water quality state are monitored in real time according to the water quality change state difference index, and the comparison and analysis results are transmitted to S6; S6: Calculate the water quality health status assessment coefficient by comparing the analysis results, evaluate the current water quality health status by the water quality health status assessment coefficient, and transmit the water quality health status assessment coefficient to S7; S7: By comparing the water quality health status assessment coefficient with the water quality health status threshold, the water quality health status is detected. If the water quality health status is detected to be abnormal, the abnormal result is transmitted to S8; S8: Feedback abnormal water quality health conditions and notify management personnel to adjust the water quality conditions; S9: By real-time monitoring of the water quality adjustment process and calculating the water quality monitoring coefficient, the water quality adjustment process is monitored in real time according to the water quality monitoring coefficient, and prompt information is automatically generated according to the monitoring results to provide feedback to the management personnel; The S3 processes the current water quality parameters through the data processing center, including data cleaning, data standardization and data integration, and stores the processed water quality parameters in the database in the order of collection time, and then extracts the water quality parameters that affect the health of the water quality, including temperature, turbidity, dissolved oxygen content, organic pollutant content and blue-green algae content, and generates a water quality parameter set , analyze and calculate the current water quality fluctuation value , Indicates the i-th current collection The content of water quality parameters, express The average value of water quality parameter content, n represents the total number of times the current water quality parameter is collected, is the weight coefficient; The S4 is implemented by Analyze historical water quality parameters and calculate the water quality status change value to monitor the overall change trend and specific fluctuation of water quality status in real time; The analysis method of the water quality state change value is: Step S411: First, analyze the difference value of each historical water quality parameter within a period of time separately. , Indicates the maximum value of the j-th historical water quality parameter content within a period of history. Indicates the minimum value of the jth historical water quality parameter content within a historical period; Step S412: Analyze the standard deviation of each historical water quality parameter within a historical period separately , It represents the average value of the kth measurement content of the jth historical water quality parameter within a historical period. represents the comprehensive mean of the average values ​​of the j-th historical water quality parameter content within a historical period, and K represents the total number of measurements of the j-th historical water quality parameter; Step S413: Calculate the water quality status change value by analyzing all historical water quality parameters within a period of time. , represents the weight coefficient of the jth historical water quality parameter, and m represents the total number of historical water quality parameters; The S5 performs a detailed analysis of the changes in water quality parameters by combining the current water quality parameters with the historical water quality parameters, calculates the water quality change state difference index to monitor the current water quality state changes in real time, and displays the trend of water quality state changes in a visual manner; The calculation formula of the water quality change state difference index is: , X represents the current water quality state fluctuation value, and P represents the water quality state change value; S6 comprehensively calculates the water quality health status assessment coefficient by comparing and analyzing the water quality parameters by combining the current water quality parameters with the historical water quality parameters: , Q represents the water quality change state difference index; The S7 presets a water quality health threshold Compare with the water quality health assessment coefficient C to detect the water quality health status. If the water quality health assessment coefficient C Water quality health thresholds , indicating that the current water quality is in good health. Continue to monitor the water quality. If the water quality health assessment coefficient C Water quality health thresholds , indicating that the current water quality health status is abnormal and the test results need to be transmitted to S8 immediately; When the S8 detects abnormal water quality health conditions, it immediately issues water quality warning information, and records the time, location and specific water quality conditions of the abnormal phenomenon through the water quality monitoring equipment, automatically generates a water quality monitoring report based on the records of the water quality monitoring equipment, and sends the water quality warning information and water quality monitoring report to the management personnel responsible for water quality management in the form of SMS, and prompts the management personnel to adjust the water quality conditions; The S9 monitors the water quality adjustment process in real time through the management personnel and calculates the water quality monitoring coefficient as follows: , through the value of the water quality monitoring coefficient, the management personnel's adjustment process of the water quality condition is monitored in real time until the range value of the water quality monitoring coefficient is monitored to be (-∞,0], a prompt message is immediately generated, and the adjustment result is fed back to the management personnel, prompting the management personnel that the adjustment of the water quality condition has reached the health standard.

2. The automatic detection method based on local raw water quality according to claim 1 is characterized in that: The S1 installs a self-priming sampling water pump in the water body and sets the water sampling frequency on a daily basis, thereby automatically extracting raw water samples at regular intervals, and then transports the extracted water samples to a sediment filter through a pipeline to remove suspended matter, sediment and large particles in the water samples to pre-treat the water samples, and stores the pre-treated water samples in a sampling container.

3. The automatic detection method based on local raw water quality according to claim 1 is characterized in that: The S2 uses a water quality sensor to interact with substances in the water sample through its internal measuring elements, thereby monitoring and measuring water quality parameters. The water quality sensor then converts the measured water quality parameters into digital signals in the form of electrical signals and inputs them into a data processing center. The water quality sensor includes a pH sensor, a dissolved oxygen sensor, a conductivity sensor, a turbidity sensor, and a biofilm-based sensor. The physical parameters include temperature, turbidity, and conductivity. The chemical parameters include pH value, dissolved oxygen content, ammonia nitrogen content, nitrate content, phosphate content, organic pollutant content, and heavy metal ion content. The biological parameters include total bacteria count, total E. coli count, and blue-green algae content.

4. An automatic detection system based on local raw water quality, implementing an automatic detection method based on local raw water quality as described in any one of claims 1 to 3, characterized in that: include: Water sample acquisition module: The raw water sample is automatically extracted through a self-priming sampling water pump, and then the extracted water sample is pre-treated through a sediment filter, and the pre-treated water sample is stored; Water quality parameter acquisition module: monitors and collects current water quality parameters from pre-treated water samples through water quality sensors, including physical parameters, chemical parameters and biological parameters; Water quality parameter processing module: The data processing center processes and stores the collected current water quality parameters, and then performs feature analysis on the processed current water quality parameters to obtain the current water quality state fluctuation value; Historical water quality parameter acquisition module: automatically obtains historical water quality parameters within a period of time from the database, analyzes the water quality change state through the historical water quality parameters, and obtains the water quality state change value; Water quality status analysis module: By comparing and analyzing the current water quality parameters with the historical water quality parameters, the water quality change status difference index is obtained, and the change trend and specific fluctuation of the water quality status are monitored in real time according to the water quality change status difference index; Water quality health status assessment module: Calculate the water quality health status assessment coefficient by comparing the analysis results, and assess the current water quality health status through the water quality health status assessment coefficient; Water quality health status detection module: detects the water quality health status by comparing the water quality health status assessment coefficient with the water quality health status threshold; Water quality health status feedback module: feedback abnormal water quality health status and notify management personnel to adjust the water quality status; Water quality adjustment monitoring module: through real-time monitoring of the water quality adjustment process, and calculate the water quality monitoring coefficient, the water quality adjustment process is monitored in real time according to the water quality monitoring coefficient, and prompt information is automatically generated according to the monitoring results to provide feedback to the management personnel.

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