Water quality monitoring data analysis method and system

Abstract

The invention provides a water quality monitoring data analysis method and system, and belongs to the technical field of data processing, and the method specifically comprises the following steps: during water sample extraction, carrying out water sample extraction treatment according to a water sample extraction strategy to obtain an extracted water sample, when the matching condition of the monitoring result of the extracted water sample in the water quality monitoring station and the historical monitoring data does not meet the requirement, according to a preset strategy, based on the residual extracted water sample, performing multiple monitoring processing on the reagent to obtain other monitoring results, and according to the deviation data of the monitoring result in different monitoring processing times and the other monitoring results, determining the monitoring result of the water quality monitoring station. The adjustment scheme of the extraction treatment strategy of the water sample is determined, and the abnormal recognition strategy of the reagent is determined by using the adjustment scheme, so that the timeliness of abnormal recognition treatment of the reagent is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of data processing, and in particular relates to a water quality monitoring data analysis method and system. Background Art

[0002] For unmanned water quality monitoring stations set up in rural sewage, reservoirs, lakes, water sources and other areas, on the basis of realizing automatic monitoring of water quality, similar technical solutions are given in invention patent applications CN202510379380.2 "A method, device, equipment and medium for predicting water quality in a river basin" and CN202510053635.6 "A method for optimizing the layout of bay water quality monitoring stations". However, the above technical solutions all have the following technical problems: In the process of water quality monitoring and analysis, in order to increase the maintenance-free time, the existing technical solutions often use a built-in refrigerator to store the reagents. However, long-term storage will inevitably lead to changes in the reliability of the reagents. At the same time, long-term storage will also cause the water quality status of the automatic control samples of the water quality monitoring device to change, thereby making the metering deviation of the instrument increasingly serious. Therefore, how to determine the abnormal identification strategy of the reagent status to avoid affecting the accuracy of the automatic calibration results of the equipment when there is an abnormality in the reagent status.

[0003] In order to solve the above technical problems, the present application provides a water quality monitoring data analysis method and system. Summary of the Invention

[0004] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: Specifically, this application provides a water quality monitoring data analysis method, which specifically includes: S1 determines the monitoring result of the water quality monitoring station under the self-control sample based on the automatic calibration data of the water quality monitoring station, and proceeds to the next step when it is determined based on the monitoring result that the fluctuation of the water quality change trend of the self-control sample is within a preset range; S2 determines the water sampling strategy of the water quality monitoring station based on the historical monitoring data of water samples, matching the monitoring results of different historical monitoring times with the previous historical monitoring times, and combining the time distribution data of the historical monitoring times; S3: When extracting water samples, extract and process the water samples according to the water sampling strategy to obtain extracted water samples. When the monitoring results of the extracted water samples at the water quality monitoring station do not meet the requirements of matching with the historical monitoring data, perform multiple monitoring processes on the reagents based on the remaining extracted water samples according to the preset strategy to obtain other monitoring results. S4 determines the adjustment plan of the water sample extraction and processing strategy based on the deviation data of the monitoring results in different monitoring processing times and other monitoring results, and combines the monitoring processing times with other monitoring results, and uses the adjustment plan to determine the abnormality identification strategy of the reagent.

[0005] The beneficial effects of this application are: In this application, when the monitoring results of the extracted water samples at the water quality monitoring station do not meet the requirements and match the historical monitoring data, the reagents are monitored and processed multiple times based on the remaining extracted water samples according to the preset strategy to obtain other monitoring results, thereby realizing secondary verification processing of the same sample, and then realizing the abnormal identification of the reagents from the perspective of repeatability, thereby improving the efficiency and reliability of abnormal identification processing.

[0006] In this application, the adjustment plan of the water sample extraction and processing strategy is determined based on the deviation data of the monitoring results and other monitoring results in different monitoring and processing times. This not only avoids the waste of electricity and reagents caused by frequent use of the water sample extraction strategy due to the similarity of the monitoring results to other monitoring results, but also realizes the accurate identification of the abnormal state of the reagent, thereby ensuring the accuracy and timeliness of the identification and processing of the abnormal state of the reagent.

[0007] A further technical solution is that the automatic calibration data includes water quality monitoring data of the water quality monitoring station under self-control samples.

[0008] It is understandable that the historical monitoring times are the historical monitoring times after the reagents are replaced.

[0009] Specifically, the self-control sample is a standard sample used for calibration processing of a water quality monitoring station.

[0010] A further technical solution is that the monitoring result includes monitoring data in different automatic calibration processing times.

[0011] A further technical solution is to determine whether the fluctuation of the water quality change trend of the self-controlled sample is within a preset range, specifically including: Based on the monitoring results of the self-control sample in different automatic calibration processing times, determining the number of automatic calibration processing times of the self-control sample in the most recent preset time period, and using it as a reference calibration processing number; Determining the deviation processing times in the reference standard processing times based on the deviation of the monitoring results between different reference calibration processing times; Based on the number of deviation processing times, it is determined whether the fluctuation of the water quality change trend of the self-control sample is within a preset range.

[0012] A further technical solution is that the method for determining the adjustment scheme of the water sample extraction and processing strategy is: Determining the deviation amount of the monitoring results in different monitoring processing times from other monitoring results based on the deviation data between the monitoring results in different monitoring processing times and other monitoring results; According to the deviation amount from other monitoring results, determine the number of monitoring processing times in which the deviation amount of the monitoring result from other monitoring results is not within the preset deviation range, and use it as the number of suspected abnormalities; An adjustment plan for the water sample extraction and processing strategy is determined based on the number of suspected abnormalities.

[0013] Furthermore, when the number of suspected abnormalities does not meet the requirement, that is, is greater than the preset threshold number of suspected abnormalities, it is determined that the reagent is abnormal, and the abnormality reminder of the reagent is directly performed without further water sample extraction.

[0014] In a second aspect, the present invention provides a computer system comprising: a memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned water quality monitoring data analysis method when running the computer program.

[0015] Other features and advantages will be described in the following description. The objectives and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0016] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and other features and advantages of the present invention will become more apparent by describing in detail example embodiments thereof with reference to the accompanying drawings; Figure 1 It is a flow chart of a method for analyzing water quality monitoring data; Figure 2 It is a flow chart for determining whether the fluctuation of the water quality change trend of the self-control sample is within the preset range; Figure 3 It is a flow chart of the method for determining the water sampling strategy of the water quality monitoring station; Figure 4 It is a flow chart of a method for determining an adjustment plan for a water sample extraction and treatment strategy; Figure 5 It is a framework diagram of a computer system. DETAILED DESCRIPTION

[0018] To help those skilled in the art better understand the technical solutions in this specification, the following will provide a clear and complete description of the technical solutions in the embodiments of this specification, in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this specification, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this specification without creative work should fall within the scope of protection of this specification.

[0019] In the present invention, on the basis that the risk of water quality deterioration and change exists in the self-control samples, and the reliability of the automatic calibration processing cannot be guaranteed, an extraction strategy is determined, that is, samples that can be inspected and processed multiple times are extracted in one time, and when there is a deviation in the measurement results of the samples, the remaining samples are used for secondary analysis and processing of the water quality monitoring data, thereby ensuring the reliability of the calibration analysis processing.

[0020] Based on the monitoring results of the self-control sample in different automatic calibration processing times, when it is determined that there is an automatic calibration processing time that is inconsistent with the water quality monitoring results in other automatic calibration processing times, it is determined that the fluctuation of the water quality change trend of the self-control sample is within the preset range.

[0021] When the monitoring results within the most recent preset time period are inconsistent with the monitoring results of the previous historical monitoring times, the historical monitoring times will be used as the water quality change monitoring times. When the water quality change monitoring times are greater than the preset monitoring times threshold, due to the risk of water quality changes, the water sampling strategy is to extract multiple samples that can be used for water quality measurement in one time.

[0022] When the monitoring results of the sampled water samples are inconsistent with the previous historical monitoring data, it is necessary to use the remaining extracted water samples to perform multiple monitoring processes on the reagents to obtain other monitoring results.

[0023] When the monitoring results in different monitoring treatment times are consistent with the reviewed monitoring results, there is no need to draw multiple samples that can be used for water quality measurement in one time. It is only necessary to draw samples that can be inspected and processed multiple times when the monitoring results are inconsistent with the previous historical monitoring data.

[0024] Example 1 Specifically, such as Figure 1 As shown, this application provides a water quality monitoring data analysis method, which specifically includes: S1 determines the monitoring result of the water quality monitoring station under the self-control sample based on the automatic calibration data of the water quality monitoring station, and proceeds to the next step when it is determined based on the monitoring result that the fluctuation of the water quality change trend of the self-control sample is within a preset range; Furthermore, the automatic calibration data includes water quality monitoring data of the water quality monitoring station under self-control samples.

[0025] It is understandable that the historical monitoring times are the historical monitoring times after the reagents are replaced.

[0026] Specifically, the self-control sample is a standard sample used for calibration processing of a water quality monitoring station.

[0027] Specifically, the monitoring result includes monitoring data in different automatic calibration processing times.

[0028] Specifically, such as Figure 2 As shown, determining that the fluctuation of the water quality change trend of the self-control sample is within a preset range specifically includes: Based on the monitoring results of the self-control sample in different automatic calibration processing times, determining the number of automatic calibration processing times of the self-control sample in the most recent preset time period, and using it as a reference calibration processing number; Determining the deviation processing times in the reference standard processing times based on the deviation of the monitoring results between different reference calibration processing times; Based on the number of deviation processing times, it is determined whether the fluctuation of the water quality change trend of the self-control sample is within a preset range.

[0029] It should be noted that the number of deviation processing times is the number of reference calibration processing times for which the deviation of the monitoring result from the reference calibration processing times does not meet the requirements and is greater than the preset number threshold, that is, when the deviation of the monitoring result is greater than the preset deviation, it is determined that the deviation does not meet the requirements.

[0030] To give a specific example, the reference calibration processing times whose deviation from the monitoring results of the reference calibration processing times does not meet the requirements are taken as the data deviation times. When the data deviation times are more than 3 times, it is determined that the deviation does not meet the requirements.

[0031] Specifically, when the proportion of the number of deviation processing times in the number of reference calibration processing times is above the preset proportion, it is determined that the fluctuation of the water quality change trend of the self-control sample is not within the preset range, and the self-control sample needs to be replaced immediately, and the self-control sample cannot be used to accurately evaluate the true state of the reagent. When the proportion of the number of deviation processing times in the number of reference calibration processing times is not above the preset proportion, but is within the preset proportion range, it is determined that the fluctuation of the water quality change trend of the self-control sample is not within the preset range. When it is not within the preset proportion range, there is no need to replace the reagent, and the self-control sample is used to achieve an accurate assessment of the reagent state.

[0032] In one embodiment, when the proportion of the number of deviation processing times in the number of reference calibration processing times is greater than 0.1, it is determined that the fluctuation of the water quality change trend of the self-control sample is not within the preset range, and the self-control sample needs to be replaced immediately, and the self-control sample cannot be used to accurately evaluate the true state of the reagent. When the proportion of the number of deviation processing times in the number of reference calibration processing times is between 0.05-0.1, it is determined that the fluctuation of the water quality change trend of the self-control sample is within the preset range. When it is less than 0.05, there is no need to replace the reagent, and the self-control sample is used to achieve an accurate assessment of the reagent state.

[0033] In another possible embodiment, determining whether the fluctuation of the water quality change trend of the self-control sample is within a preset range specifically includes: S11 determines the number of automatic calibration processing times of the self-control sample in a recent preset time period based on the monitoring results of the self-control sample in different automatic calibration processing times, and uses the number of automatic calibration processing times as a reference calibration processing time, and determines the deviation processing time in the reference standard processing time according to the deviation of the monitoring results between different reference calibration processing times; It should be noted that if there is no deviation in the number of processing times in the above steps, it can be directly determined that the fluctuation trend of the water quality change of the self-control sample is not within the preset range. There is no need to replace the reagent, and the self-control sample can be used to accurately evaluate the reagent status.

[0034] In another possible embodiment, if there is a deviation in the number of processing times, it is necessary to further determine whether the deviation processing times meet the requirements. Specifically, when the proportion of the deviation processing times in the reference calibration processing times is above the preset proportion, it is determined that the fluctuation of the water quality change trend of the self-control sample is not within the preset range, and the self-control sample needs to be replaced immediately, and the self-control sample cannot be used to accurately evaluate the true state of the reagent.

[0035] However, if the proportion of the number of deviation processing times in the number of reference calibration processing times is not above the preset proportion, specifically not within the preset proportion range, since the number of deviation processing times is small, the impact on the overall calibration processing reliability is not significant, so there is no need to replace the reagents. Use self-control samples to accurately assess the reagent status, and determine the number of similar processing times in other cases.

[0036] S12: based on the monitoring results of different deviation processing times, determining the similarity processing times of the monitoring results in the deviation processing times; In addition, it should be further explained that the number of similar processing times is the number of deviation processing times when the deviation between the monitoring results meets the requirements. Specifically, when the deviation amount of the monitoring results is less than the preset threshold, it is determined that the deviation meets the requirements.

[0037] It can also be understood that when different deviation processing times do not have similar processing times in other deviation processing times, it means that the deviation of the monitoring results between the different deviation processing times at this time is also relatively serious. Therefore, it can be directly determined that the fluctuation trend of the water quality change of the self-control sample is not within the preset range, and the self-control sample needs to be replaced immediately, and the self-control sample cannot be used to accurately evaluate the true state of the reagent.

[0038] In another possible embodiment, when a deviation processing number has a similar processing number among other deviation processing numbers, that is, when other deviation processing numbers have similar processing numbers to the deviation processing number, the deviation processing numbers that are similar to each other are divided into the same combination. When the number of combinations is less than a preset combination number threshold, it means that the similarity of the monitoring results between different deviation processing numbers is high, and therefore it can be directly determined that the fluctuation of the water quality change trend of the self-control sample is within a preset range. In addition, if the number of combinations is not less than the preset combination number threshold, specifically when the number of combinations is more than 4, it means that the deviation of the monitoring results between different deviation processing times is also relatively serious. Therefore, it can be directly determined that the fluctuation trend of the water quality change of the self-control sample is not within the preset range, and the self-control sample needs to be replaced immediately. The self-control sample cannot be used to accurately evaluate the true state of the reagent. In other cases, proceed to the next step.

[0039] S13 determines whether the fluctuation of the water quality change trend of the self-control sample is within a preset range based on the similarity processing times of different deviation processing times.

[0040] In a possible embodiment, the water quality fluctuation value of the self-control sample is determined by multiplying the proportion of the number of deviation processing times in the reference calibration processing times by the number of combinations. When the water quality fluctuation value is within the preset fluctuation value range, it is determined that the fluctuation of the water quality change trend of the self-control sample is within the preset range. When the water quality fluctuation value is greater than the preset fluctuation threshold, it is determined that the fluctuation of the water quality change trend of the self-control sample is not within the preset range, and the self-control sample needs to be replaced immediately, and the self-control sample cannot be used to accurately evaluate the true state of the reagent. In other cases, there is no need to replace the reagent, and the self-control sample is used to achieve accurate evaluation of the reagent state.

[0041] S2 determines the water sampling strategy of the water quality monitoring station based on the historical monitoring data of water samples, matching the monitoring results of different historical monitoring times with the previous historical monitoring times, and combining the time distribution data of the historical monitoring times; Furthermore, the time distribution data of the historical monitoring times is determined according to the monitoring time of the historical monitoring times.

[0042] Specifically, such as Figure 3 As shown, the method for determining the water sampling strategy of the water quality monitoring station is: Based on the matching of monitoring results of different historical monitoring times with the previous historical monitoring times, determine the historical monitoring times in which the monitoring results within the most recent preset time period are inconsistent with the monitoring results of the previous historical monitoring times, and use them as the water quality change monitoring times; The water sampling strategy of the water quality monitoring station is determined based on the number of water quality change monitoring times.

[0043] It can be understood that when the number of water quality change monitoring times is greater than the preset monitoring number threshold, it means that the probability of the monitoring result changing is relatively high. Therefore, in this application, when the monitoring result changes, the reagent needs to be calibrated, so the demand for calibration processing is relatively high. In order to avoid re-extraction, it is also necessary to perform calibration processing based on the secondary water sample. Since a baseline monitoring result is required, at least three monitorings are required, which will cause waste of reagents. Therefore, in this case, the water sample extraction strategy is to directly extract the preset extraction amount of extracted water samples, and when there is an abnormality in the monitoring result, that is, the number of historical monitoring times with which the monitoring result in the most recent preset time period is inconsistent is greater than the preset value of the monitoring number, then a secondary calibration process is directly performed.

[0044] In addition, if the number of water quality change monitoring times is not greater than the preset monitoring times threshold, there is no need to directly extract the preset amount of water samples. When the monitoring results of the water quality of the extracted water samples are inconsistent with the monitoring results of the previous historical monitoring times, water samples are extracted and processed, and reagents are calibrated.

[0045] Optionally, the water sampling strategy of the water quality monitoring station is determined by: Based on the matching of monitoring results of different historical monitoring times with the previous historical monitoring times, determine the historical monitoring times in which the monitoring results within the most recent preset time period are inconsistent with the monitoring results of the previous historical monitoring times, and use them as the water quality change monitoring times; Determining the interval lengths of monitoring times for different water quality change monitoring times based on the distribution data of monitoring times of the water quality change monitoring times within a recent preset time period; The water quality change monitoring times with other water quality change monitoring times whose interval with its monitoring time is less than the preset interval time threshold are used as the aggregated monitoring times, and the water sampling strategy of the water quality monitoring station is determined by the aggregated monitoring times.

[0046] It should be noted that when the number of aggregate monitoring times is large, that is, greater than the preset threshold, it means that the monitoring target of the water quality monitoring station may be subject to frequent changes in water quality due to the location of the water quality monitoring station and the flow of the water body. Therefore, a preset amount of water samples are directly extracted on this basis, and when there are abnormalities in the monitoring results, a secondary verification process is directly performed.

[0047] S3: When extracting water samples, extract and process the water samples according to the water sampling strategy to obtain extracted water samples. When the monitoring results of the extracted water samples at the water quality monitoring station do not meet the requirements of matching with the historical monitoring data, perform multiple monitoring processes on the reagents based on the remaining extracted water samples according to the preset strategy to obtain other monitoring results. It is understandable that the water sample extraction process according to the water sample extraction strategy to obtain the extracted water sample specifically includes: The water sample is extracted using the extraction amount corresponding to the water sample extraction strategy to obtain an extracted water sample.

[0048] Specifically, determining whether the monitoring result of the extracted water sample at the water quality monitoring station does not meet the requirements for matching with the historical monitoring data includes: Using the monitoring results of the extracted water samples at the water quality monitoring station as real-time monitoring results; Obtain the number of historical monitoring results that are inconsistent with the real-time monitoring results, and use it as the number of deviation monitoring results; By means of the number of deviation monitoring times within the latest preset time period, it is determined whether the matching between the monitoring result of the extracted water sample at the water quality monitoring station and the historical monitoring data meets the requirements.

[0049] It can be understood that when the proportion of the number of deviation monitoring times in the most recent preset time period in the historical monitoring times does not meet the requirements, that is, the proportion of the number of deviation monitoring times in the most recent preset time period in the historical monitoring times is greater than 0.3, it is determined that the monitoring results of the extracted water sample at the water quality monitoring station do not meet the requirements. Matching of the historical monitoring data.

[0050] It is understandable that the monitoring results include one of CODcr, CODMn, ammonia nitrogen, total phosphorus, total ammonia, expandable chlorophyll, and blue-green algae.

[0051] S4 determines an adjustment plan for the water sample extraction and processing strategy based on deviation data between the monitoring results in different monitoring processing times and other monitoring results, and uses the adjustment plan to determine the abnormality identification strategy of the reagent.

[0052] Furthermore, multiple monitoring processes are performed based on the remaining extracted water samples according to the preset strategy to obtain other monitoring results, including: The remaining extracted water samples are again subjected to a preset number of monitoring processes to obtain a preset number of other monitoring results.

[0053] Specifically, such as Figure 4 As shown, the method for determining the adjustment scheme of the water sample extraction and processing strategy is: Determining the deviation amount of the monitoring results in different monitoring processing times from other monitoring results based on the deviation data between the monitoring results in different monitoring processing times and other monitoring results; According to the deviation amount from other monitoring results, determine the number of monitoring processing times in which the deviation amount of the monitoring result from other monitoring results is not within the preset deviation range, and use it as the number of suspected abnormalities; An adjustment plan for the water sample extraction and processing strategy is determined based on the number of suspected abnormalities and the number of monitoring processes with other monitoring results within a preset time period.

[0054] Table 1 Monitoring results of monitoring data in different dimensions

[0055] It should be noted that, within the preset time period, in a possible embodiment, if the number of monitoring and processing times of other monitoring results in the last month is less than the preset monitoring and processing time threshold, then in order to ensure the reliability of the verification and processing of water samples, even if the monitoring results are consistent with the previous monitoring data, it is still necessary to extract and process according to the original extraction and processing strategy at least once out of every three times, and determine other monitoring results, so as to realize the verification and processing of the reagents.

[0056] It should also be noted that, within the preset time period, in a possible embodiment, if the number of monitoring and processing times of other monitoring results in the last month is not less than the preset monitoring and processing time threshold, if the number of suspected abnormalities does not meet the requirements, that is, it is greater than the preset suspected abnormality time threshold, then it is determined that the reagent is abnormal, and the reagent abnormality reminder is directly processed, and the water sample extraction process is no longer performed.

[0057] Specifically, in a possible embodiment, when the number of suspected abnormalities meets the requirements, that is, it is not greater than the preset suspected abnormality threshold, if there is no suspected abnormality or the suspected abnormality is within the abnormal number range, that is, less than 3 times, then only when it is inconsistent with the previous monitoring results, it is necessary to extract a preset amount of water samples and perform a secondary verification process on it.

[0058] In addition, in a possible embodiment, if there are suspected abnormal times and the suspected abnormal times are not within the preset abnormal times, then when the suspected abnormal times are more than 6 times, the water sample extraction process is still carried out according to the water sample extraction strategy to obtain the abnormal identification process of the extracted water sample and the reagent. If the abnormal risk times are between 3 and 6 times, the water sample extraction process is carried out according to the water sample extraction strategy according to the preset extraction frequency to obtain the abnormal identification process of the extracted water sample and the reagent. In other cases, only when the results are inconsistent with the previous monitoring results, it is necessary to extract the preset amount of water samples and perform a secondary verification process on them.

[0059] In a possible embodiment, once out of every three times, the water sample is extracted and processed according to the water sample extraction strategy to obtain the extracted water sample and the abnormal identification processing of the reagent. The other two times, only when the results are inconsistent with the previous monitoring results, it is necessary to extract a preset amount of water sample and perform a secondary verification process on it.

[0060] In another embodiment, the method for determining the adjustment scheme of the water sample extraction and processing strategy is: S41 determines the deviation amount of the monitoring results in different monitoring processing times from other monitoring results based on the deviation data between the monitoring results in different monitoring processing times and other monitoring results, and determines the number of monitoring processing times in which the deviation amount of the monitoring result from other monitoring results is not within a preset deviation range based on the deviation amount, and determines the number of suspected abnormal times; It should be noted that in the above steps, within the preset time period, in a possible embodiment, if the number of monitoring and processing times of other monitoring results in the last month is less than the preset monitoring and processing time threshold, then in order to ensure the reliability of the water sample verification processing, even if the monitoring results are consistent with the previous monitoring data, it is still necessary to perform extraction and processing according to the original extraction and processing strategy at least once in every three times, and determine other monitoring results, so as to realize the verification processing of the reagents.

[0061] It should also be noted that, within the preset time period, in a possible embodiment, if the number of monitoring and processing times of other monitoring results in the last month is not less than the preset monitoring and processing time threshold, if the number of suspected abnormalities does not meet the requirements, that is, it is greater than the preset suspected abnormality time threshold, then it is determined that the reagent is abnormal, and the reagent abnormality reminder is directly processed, and the water sample extraction process is no longer performed.

[0062] Specifically, when the number of suspected abnormalities meets the requirements, that is, it is not greater than the preset suspected abnormality threshold, if there is no suspected abnormality or the suspected abnormality is within the abnormal number range, that is, less than 3 times, then only when it is inconsistent with the previous monitoring results, it is necessary to extract a preset amount of water samples and perform a secondary verification process on it.

[0063] It should also be noted that if there are suspected abnormal times and the suspected abnormal times are not within the preset abnormal times range, then proceed to the next step to determine the result deviation times.

[0064] S42 determines the deviation between the monitoring results of different suspected abnormality times, and based on the deviation, determines other suspected abnormality times whose deviation from the monitoring result of the suspected abnormality time is greater than a preset deviation threshold, and uses them as the result deviation times, and classifies the suspected abnormality times with the same result deviation times into the same type, and obtains the number of types; It should also be noted that when there is no result deviation in the different suspected abnormal times in the above steps, the monitoring results of the different suspected abnormal times are similar. Therefore, there may be inconsistencies in the monitoring results due to water quality reasons. Therefore, in this case, only when it is inconsistent with the previous monitoring results, it is necessary to extract a preset amount of water samples and perform a secondary verification on them.

[0065] Furthermore, if there are deviations in the results of the suspected abnormal number of times, it is necessary to further determine whether the number of types meets the requirements. It can be understood that when the number of types is 3 or more, it means that there is a certain degree of deviation in the water quality data of different suspected abnormal numbers. Therefore, on this basis, it is determined that the reagent is abnormal, and the abnormal reminder of the reagent is directly processed, and the water sample extraction process is no longer performed.

[0066] It is also understandable that when the number of types is less than 3, the process directly proceeds to the next step to determine the water sample extraction and processing strategy.

[0067] S43 determines an adjustment plan for the water sample extraction and processing strategy based on the number of suspected abnormalities, the number of types, and the number of monitoring and processing times with other monitoring results within a preset time period.

[0068] In a possible embodiment, the abnormal risk value of the reagent is determined based on the sum of the ratio of the number of suspected abnormalities to the preset number of abnormalities and the ratio of the number of types to the preset number of types. When the abnormal risk value is greater than the preset risk threshold, it is determined that the reagent is abnormal, and the abnormal reminder of the reagent is directly performed without further water sampling.

[0069] Specifically, if the abnormal risk value is not greater than the preset risk threshold, if the abnormal risk value is within the preset risk value range, that is, when the risk is relatively high, the water sample extraction process is still performed according to the water sample extraction strategy to obtain the extracted water sample and the abnormal identification process of the reagent.

[0070] If the abnormal risk value is not within the preset risk value range, and if the number of monitoring processing times of other monitoring results within the preset time period is greater than the preset number of processing times, then regardless of whether the monitoring result is consistent with the previous monitoring data, the water sample is extracted and processed according to the water sampling strategy at the preset extraction frequency to obtain the extracted water sample and the abnormality identification processing of the reagent; It should be noted that in other cases, the water samples are extracted and processed according to the preset extraction frequency and the water sample extraction strategy to obtain the extracted water samples and the abnormal identification of the reagents. In other cases, only when the results are inconsistent with the previous monitoring results, it is necessary to extract the preset amount of water samples and perform a secondary verification on them.

[0071] In a possible embodiment, according to the preset extraction frequency, specifically including: once out of every three times, the water sample is extracted and processed according to the water sample extraction strategy to obtain the extracted water sample and the abnormal identification processing of the reagent, and the other two times, only when the results are inconsistent with the previous monitoring results, it is necessary to extract the preset amount of water sample and perform a secondary verification processing on it.

[0072] It is understood that the determination of the reagent abnormality identification strategy using the adjustment scheme specifically includes: When the adjustment plan is that the reagent is abnormal, it is not necessary to perform abnormal identification processing of the reagent; When the adjustment plan is that it is necessary to extract a preset amount of water samples and perform a secondary verification process only when the results are inconsistent with the previous monitoring results, the water samples extracted during the secondary verification process are used to perform reagent abnormality identification processing. In other cases, the reagent abnormality identification strategy is not changed, and the reagent abnormality identification processing is still performed according to the original water sample extraction strategy abnormality identification strategy.

[0073] It should be noted that the consistency is determined by dividing the deviation between the reviewed monitoring result and the monitoring result by whether it is within a preset range. Specifically, consistency will be determined when it is between 0 and 0.02.

[0074] Example 2 Second, as Figure 5 As shown, the present invention provides a computer system, comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned water quality monitoring data analysis method when running the computer program.

[0075] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, apparatus, and non-volatile computer storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simplified. For relevant details, refer to the descriptions of the method embodiments.

[0076] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0077] The foregoing description is merely one or more embodiments of this specification and is not intended to limit this specification. It will be apparent to those skilled in the art that various modifications and variations may be made to one or more embodiments of this specification. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of one or more embodiments of this specification are intended to be within the scope of the claims of this specification.

Claims

1. A water quality monitoring data analysis method, characterized in that: Specifically include: Determining the monitoring results of the water quality monitoring station under the self-control sample using the automatic calibration data of the water quality monitoring station, and proceeding to the next step when it is determined based on the monitoring results that the fluctuation of the water quality change trend of the self-control sample is within a preset range; According to the historical monitoring data of water samples from the water quality monitoring station, the monitoring results of different historical monitoring times are matched with the previous historical monitoring times, and the water sampling strategy of the water quality monitoring station is determined in combination with the time distribution data of the historical monitoring times; When extracting water samples, the water samples are extracted and processed according to the water sampling strategy to obtain extracted water samples. When the monitoring results of the extracted water samples at the water quality monitoring station do not meet the requirements of matching with the historical monitoring data, the reagents are monitored and processed multiple times based on the remaining extracted water samples according to the preset strategy to obtain other monitoring results; According to the deviation data between the monitoring results in different monitoring processing times and other monitoring results, an adjustment scheme for the water sample extraction and processing strategy is determined, and the adjustment scheme is used to determine the abnormality identification strategy of the reagent.

2. The water quality monitoring data analysis method according to claim 1, wherein: The automatic calibration data includes water quality monitoring data of the water quality monitoring station under self-control samples.

3. The water quality monitoring data analysis method according to claim 1, wherein: The self-control sample is a standard sample used for calibration processing of a water quality monitoring station.

4. The water quality monitoring data analysis method according to claim 1, wherein: Determining whether the fluctuation of the water quality change trend of the self-control sample is within a preset range specifically includes: Based on the monitoring results of the self-control sample in different automatic calibration processing times, determining the number of automatic calibration processing times of the self-control sample in the most recent preset time period, and using it as a reference calibration processing number; Determining the deviation processing times in the reference standard processing times based on the deviation of the monitoring results between different reference calibration processing times; Based on the number of deviation processing times, it is determined whether the fluctuation of the water quality change trend of the self-control sample is within a preset range.

5. The water quality monitoring data analysis method according to claim 1, wherein: The time distribution data of the historical monitoring times is determined according to the monitoring time of the historical monitoring times.

6. The water quality monitoring data analysis method according to claim 1, wherein: The method for determining the water sampling strategy of the water quality monitoring station is: Based on the matching of monitoring results of different historical monitoring times with the previous historical monitoring times, determine the historical monitoring times in which the monitoring results within the most recent preset time period are inconsistent with the monitoring results of the previous historical monitoring times, and use them as the water quality change monitoring times; The water sampling strategy of the water quality monitoring station is determined based on the number of water quality change monitoring times.

7. The water quality monitoring data analysis method according to claim 6, wherein: If the number of water quality change monitoring times is not greater than the preset monitoring times threshold, there is no need to directly extract the preset amount of water samples. When the monitoring results of the water quality of the extracted water samples are inconsistent with the monitoring results of the previous historical monitoring times, water samples will be extracted and processed, and reagents will be calibrated.

8. The water quality monitoring data analysis method according to claim 1, wherein: The water sample is extracted and processed according to the water sample extraction strategy to obtain an extracted water sample, specifically comprising: The water sample is extracted using the extraction amount corresponding to the water sample extraction strategy to obtain an extracted water sample.

9. The water quality monitoring data analysis method according to claim 1, wherein: The method for determining the adjustment scheme of the water sample extraction and processing strategy is as follows: Determining the deviation amount of the monitoring results in different monitoring processing times from other monitoring results based on the deviation data between the monitoring results in different monitoring processing times and other monitoring results; According to the deviation amount from other monitoring results, determine the number of monitoring processing times in which the deviation amount of the monitoring result from other monitoring results is not within the preset deviation range, and use it as the number of suspected abnormalities; An adjustment plan for the water sample extraction and processing strategy is determined based on the number of suspected abnormalities.

10. A computer system comprising: A memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, characterized in that when the processor runs the computer program, a water quality monitoring data analysis method according to any one of claims 1 to 9 is executed.

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