Water quality detection equipment parameter correction method, system, equipment and medium

Abstract

The invention provides a parameter correction method, system and equipment for water quality detection equipment and a medium. The method comprises the following steps: acquiring water quality detection data of a corresponding grid area in a target water area through water quality detection equipment in a water quality detection equipment array, and sending the water quality detection data to an equipment management platform to form a water quality detection data array; the equipment management platform determines a change feature data sequence according to target water quality detection data in the water quality detection data array and an adjacent water quality detection data sequence, and if the equipment management platform determines that a change feature value in the change feature data meets a preset feature condition, an equipment parameter correction instruction is generated, and the equipment parameter correction instruction is sent to the target water quality detection equipment corresponding to the target water quality detection data to indicate equipment parameter correction operation on the target water quality detection equipment, so that the target water quality detection equipment needing parameter correction is found in time, and the correction efficiency of the water quality detection equipment is improved.

Description

Technical Field

[0001] The present application relates to data processing technology, and in particular to a method, system, equipment and medium for calibrating parameters of water quality detection equipment. Background Art

[0002] In the existing water quality monitoring system, water quality testing equipment is usually deployed at different locations in the target water area to monitor the water quality in real time. However, due to equipment aging, changes in environmental factors or improper operation, the parameters of water quality testing equipment may gradually deviate from their ideal values, resulting in a decrease in the accuracy and reliability of the test results. If this deviation is not corrected in time, it will directly affect the accuracy and effectiveness of water quality monitoring, and may have an adverse impact on environmental protection, water resources management and public health.

[0003] Traditional water quality testing equipment parameter calibration methods often rely on manual periodic inspections, which is inefficient. In addition, since water quality testing equipment is usually widely distributed and numerous, manual inspections are relatively difficult and costly. Therefore, a more efficient water quality testing equipment parameter calibration method is needed to achieve timely calibration of water quality testing equipment. Summary of the invention

[0004] The present application provides a method, system, device and medium for calibrating parameters of water quality testing equipment, so as to solve the technical problem of low efficiency in the existing manual method of checking the need for parameter calibration of water quality testing equipment.

[0005] In a first aspect, the present application provides a method for calibrating parameters of a water quality detection device, which is applied to a water quality detection device management system, wherein the water quality detection device management system comprises: a device management platform and a water quality detection device array, wherein the device management platform is communicatively connected with each water quality detection device in the water quality detection device array; the method comprises:

[0006] Acquire water quality detection data of corresponding grid areas in the target water area through the water quality detection devices in the water quality detection device array, and send the water quality detection data to the device management platform to form a water quality detection data array, wherein the target water area includes a grid area array, the water quality detection devices in the water quality detection device array are arranged according to the grid area distribution in the grid area array, and the water quality detection data includes a plurality of water quality detection parameters;

[0007] The device management platform determines a change characteristic data sequence according to the target water quality detection data and the adjacent water quality detection data sequence in the water quality detection data array, wherein the change characteristic data in the change characteristic data sequence is used to characterize the change gradient between the target water quality detection data and the corresponding adjacent water quality detection data in the adjacent water quality detection data sequence, and the change characteristic data includes a plurality of change characteristic values;

[0008] If the device management platform determines that there is a change characteristic value in the change characteristic data that meets the preset characteristic condition, it generates an equipment parameter correction instruction and sends the equipment parameter correction instruction to the target water quality detection equipment corresponding to the target water quality detection data to instruct the target water quality detection equipment to perform an equipment parameter correction operation on the target water quality detection equipment.

[0009] In the above scheme, by acquiring the water quality detection data of each grid area of ​​the target water area in real time and performing parameter correction based on the change characteristics of these data, the accuracy of water quality detection can be significantly improved, ensuring the accuracy and reliability of the monitoring results. Through the analysis of water quality detection data by the equipment management platform, equipment parameter deviations can be discovered and processed in a timely manner, realizing the management of water quality detection equipment. Once the equipment management platform detects abnormal changes in water quality detection data, it can quickly generate equipment parameter correction instructions and send them to the target device, thereby quickly responding to equipment parameter deviations, shortening the correction cycle, and improving the response speed of the system. In addition, through the grid layout of water quality detection equipment, comprehensive coverage and accurate monitoring of the target water area are achieved. At the same time, based on the intelligent analysis of water quality detection data, the equipment that needs to be corrected can be accurately located, avoiding waste of resources and optimizing resource allocation.

[0010] Furthermore, the above solution ensures the stability and reliability of the equipment during long-term operation by regularly calibrating the parameters of the water quality testing equipment. At the same time, through the real-time monitoring and analysis of water quality testing data by the equipment management platform, potential problems can be discovered and handled in a timely manner, improving the stability and reliability of the entire system.

[0011] Optionally, the device management platform determines the change characteristic data sequence according to the target water quality detection data and adjacent water quality detection data sequences in the water quality detection data array, including:

[0012] The equipment management platform obtains the target water quality detection data of the target water quality detection equipment Among them, d i is the i-th water quality detection parameter in the target water quality detection data, and n is the number of water quality detection parameters in the target water quality detection data;

[0013] The equipment management platform obtains the adjacent water quality detection data sequence D={D1 ,D 2 ,…,D j ,…,D m}The jth adjacent water quality detection data in, is the jth adjacent water quality detection data D j The i-th water quality detection parameter in , m is the number of water quality detection data in the adjacent water quality detection data sequence D;

[0014] The equipment management platform detects the target water quality data And the adjacent water quality detection data sequence D determines the change characteristic data sequence T = {T 1 ,T 2 ,…,T j ,…,T m}.

[0015] In the above scheme, by clarifying how the equipment management platform obtains and processes the target water quality detection data and the adjacent water quality detection data sequence, the data processing process is further refined, and the accuracy and efficiency of data processing are improved. By comparing the target water quality detection data with the adjacent water quality detection data, the spatial variation trend of the water quality parameters can be captured more accurately, providing reliable data support for subsequent parameter correction. Then, by respectively obtaining each water quality detection parameter in the target water quality detection data and the adjacent water quality detection data, a multi-dimensional analysis of the water quality data is performed, and then the change characteristic data sequence is obtained through the target water quality detection data and the adjacent water quality detection data. Each change characteristic value in the change characteristic data sequence is directly related to the change gradient of the water quality parameter, which provides a basis for the subsequent equipment parameter correction and helps to ensure the accuracy and effectiveness of the correction operation.

[0016] Optionally, the device management platform determines that there is a change characteristic value in the change characteristic data that satisfies a preset characteristic condition, including:

[0017] The device management platform is based on the change characteristic data sequence T={T 1 ,T 2 ,…,T j ,…,T m}Determine the maximum change deviation characteristic value corresponding to the i-th water quality detection parameter;

[0018] The equipment management platform determines the maximum change deviation characteristic value k corresponding to the i-th water quality detection parameter i Greater than the preset change deviation characteristic threshold

[0019] In the above scheme, by determining the maximum change deviation characteristic value of each water quality detection parameter in the change characteristic data sequence and comparing it with the preset threshold, it is possible to accurately identify which water quality detection parameters have significant abnormal fluctuations. This precise identification is the basis for subsequent parameter correction, ensuring the pertinence and effectiveness of the correction operation. The correction instruction is triggered only when it is detected that the maximum change deviation characteristic value of a water quality detection parameter exceeds the preset threshold. In addition, by setting a reasonable preset threshold, the system can distinguish between normal data fluctuations and real abnormal changes, thereby enhancing the robustness of the system. Even when the water quality conditions change significantly, the system can maintain stable monitoring and correction capabilities, which can further maintain the continuous and stable operation of the system and improve the continuity and accuracy of water quality monitoring.

[0020] Optionally, the device management platform determines the maximum change deviation characteristic value k corresponding to the i-th water quality detection parameter i Greater than the preset change deviation characteristic threshold, including:

[0021] The equipment management platform generates a maximum change deviation characteristic value sequence K={k 1 ,k 2 ,…,k i ,…,k n};

[0022] The device management platform determines that there is only one maximum change deviation characteristic value in the maximum change deviation characteristic value sequence K that is greater than the preset change deviation characteristic threshold.

[0023] In the above scheme, when it is found that the maximum change deviation of only one parameter exceeds the preset threshold, the system can take targeted correction measures to correct only this parameter without adjusting other parameters that are working normally, which not only saves resources but also avoids new errors that may be introduced by overcorrection. By setting a preset threshold and strictly requiring that the correction instruction is triggered only when one parameter exceeds the threshold, the risk of miscalibration is effectively reduced, and the reliability and pertinence of the judgment of parameter correction of water quality testing equipment are improved.

[0024] Optionally, each water quality detection device in the water quality detection device array includes a detection sensor sequence, and the detection sensor sequence includes a plurality of detection sensors; and the generating device parameter correction instruction includes:

[0025] The device management platform determines the corresponding target detection sensor from the target water quality detection device according to the target water quality detection parameter corresponding to the maximum change deviation characteristic value in the maximum change deviation characteristic value sequence K that is greater than the preset change deviation characteristic threshold;

[0026] The device management platform determines a corresponding adjacent target water quality detection parameter sequence from the adjacent water quality detection data sequence D according to the target water quality detection parameter, and determines an average value of the target water quality detection parameter according to the adjacent target water quality detection parameter sequence;

[0027] The device management platform generates the device parameter correction instruction according to the sensor type information corresponding to the target detection sensor and the target water quality detection parameter average value.

[0028] In the above scheme, by comparing the maximum change deviation characteristic value with the preset threshold value and accurately determining the corresponding fault detection sensor from the target water quality detection equipment, the unnecessary cost and time consumption caused by the global correction are effectively avoided, and the maintenance efficiency is improved. After determining the target detection sensor, the relevant target water quality detection parameters are extracted from the adjacent water quality detection data sequence, and the average value is determined as a correction reference, thereby making full use of the monitoring data of the surrounding equipment and enhancing the accuracy and scientificity of the correction process. In addition, considering that the water quality detection equipment may contain multiple types of detection sensors, when generating the correction instruction, the correction parameters will be tailored according to the type information of the target detection sensor, which improves the pertinence and applicability of the correction instruction. Then, the equipment parameter correction instruction is automatically generated and sent, so that the water quality detection equipment can be manually adjusted and corrected, or self-adjusted and optimized without manual intervention, which enhances the automation level and self-repair ability of the system. Thereby, the faulty detection sensor is corrected in time, and the accuracy and continuity of the water quality detection data are guaranteed.

[0029] Optionally, determining the target water quality detection parameter average value according to the adjacent target water quality detection parameter sequence includes:

[0030] The device management platform determines an adjacent target water quality detection parameter subsequence from the adjacent target water quality detection parameter sequence according to the calibration time information of each adjacent target water quality sensor in the adjacent target water quality sensor sequence corresponding to the adjacent target water quality detection parameter sequence and a preset calibration reference time threshold;

[0031] The device management platform determines the target water quality detection parameter average value according to the adjacent target water quality detection parameter subsequences.

[0032] In the above scheme, by considering the correction time information of the adjacent target water quality sensors and screening out the parameter sequence (i.e., the adjacent target water quality detection parameter subsequence) whose correction time is close to or within the preset correction reference time threshold from the adjacent target water quality detection parameter sequence, the correlation and consistency between the data used to calculate the average value are enhanced, and the accuracy of the subsequent correction judgment is improved. In addition, by using the screened adjacent target water quality detection parameter subsequence to determine the average value of the target water quality detection parameter, the actual performance of the target water quality detection equipment in the current state can be more accurately reflected, thereby improving the accuracy of the correction parameters. By excluding the parameter data detected by sensors with too early correction time, the reliability and stability of the correction parameters are ensured.

[0033] Optionally, after sending the device parameter correction instruction to the target water quality detection device corresponding to the target water quality detection data, the method further includes:

[0034] The target water quality detection device responds to the device parameter correction instruction and, after completing the device parameter correction operation, sends correction time information to the device management platform, so that the correction time information is stored in the device management platform.

[0035] In the above solution, by recording and storing the calibration time information, the system can clearly track the calibration history of each water quality testing equipment, provide reliable data support for subsequent maintenance, analysis and optimization, and enhance the traceability and management efficiency of the system. In addition, the equipment management platform can reasonably arrange the subsequent maintenance plan and inspection cycle based on the calibration time information to ensure that the water quality testing equipment is always in good working condition and reduce the interruption or error of monitoring data caused by equipment failure.

[0036] In a second aspect, the present application provides a water quality testing equipment management system, comprising: an equipment management platform and a water quality testing equipment array, wherein the equipment management platform is communicatively connected with each water quality testing equipment in the water quality testing equipment array;

[0037] Acquire water quality detection data of corresponding grid areas in the target water area through the water quality detection devices in the water quality detection device array, and send the water quality detection data to the device management platform to form a water quality detection data array, wherein the target water area includes a grid area array, the water quality detection devices in the water quality detection device array are arranged according to the grid area distribution in the grid area array, and the water quality detection data includes a plurality of water quality detection parameters;

[0038] The device management platform determines a change characteristic data sequence according to the target water quality detection data and the adjacent water quality detection data sequence in the water quality detection data array, wherein the change characteristic data in the change characteristic data sequence is used to characterize the change gradient between the target water quality detection data and the corresponding adjacent water quality detection data in the adjacent water quality detection data sequence, and the change characteristic data includes a plurality of change characteristic values;

[0039] If the device management platform determines that there is a change characteristic value in the change characteristic data that meets the preset characteristic condition, it generates an equipment parameter correction instruction and sends the equipment parameter correction instruction to the target water quality detection equipment corresponding to the target water quality detection data to instruct the target water quality detection equipment to perform equipment parameter correction.

[0040] Optionally, the device management platform determines the change characteristic data sequence according to the target water quality detection data and adjacent water quality detection data sequences in the water quality detection data array, including:

[0041] The equipment management platform obtains the target water quality detection data of the target water quality detection equipment Among them, d i is the i-th water quality detection parameter in the target water quality detection data, and n is the number of water quality detection parameters in the target water quality detection data;

[0042] The equipment management platform obtains the adjacent water quality detection data sequence D={D 1 ,D 2 ,…,D j ,…,D m}The jth adjacent water quality detection data in, is the jth adjacent water quality detection data D j The i-th water quality detection parameter in , m is the number of water quality detection data in the adjacent water quality detection data sequence D;

[0043] The equipment management platform detects the target water quality data And the adjacent water quality detection data sequence D determines the change characteristic data sequence T = {T 1 ,T 2 ,…,T j ,…,T m}.

[0044] Optionally, the device management platform determines that there is a change characteristic value in the change characteristic data that satisfies a preset characteristic condition, including:

[0045] The device management platform is based on the change characteristic data sequence T={T 1 ,T2 ,…,T j ,…,T m}Determine the maximum change deviation characteristic value corresponding to the i-th water quality detection parameter;

[0046] The equipment management platform determines the maximum change deviation characteristic value k corresponding to the i-th water quality detection parameter i Greater than the preset change deviation characteristic threshold

[0047] Optionally, the device management platform determines the maximum change deviation characteristic value k corresponding to the i-th water quality detection parameter i Greater than the preset change deviation characteristic threshold include:

[0048] The equipment management platform generates a maximum change deviation characteristic value sequence K={k 1 ,k 2 ,…,k i ,…,k n};

[0049] The device management platform determines that there is only one maximum change deviation characteristic value in the maximum change deviation characteristic value sequence K that is greater than the preset change deviation characteristic threshold.

[0050] Optionally, each water quality detection device in the water quality detection device array includes a detection sensor sequence, and the detection sensor sequence includes a plurality of detection sensors; and the generating device parameter correction instruction includes:

[0051] The device management platform determines the corresponding target detection sensor from the target water quality detection device according to the target water quality detection parameter corresponding to the maximum change deviation characteristic value in the maximum change deviation characteristic value sequence K that is greater than the preset change deviation characteristic threshold;

[0052] The device management platform determines a corresponding adjacent target water quality detection parameter sequence from the adjacent water quality detection data sequence D according to the target water quality detection parameter, and determines an average value of the target water quality detection parameter according to the adjacent target water quality detection parameter sequence;

[0053] The device management platform generates the device parameter correction instruction according to the sensor type information corresponding to the target detection sensor and the target water quality detection parameter average value.

[0054] Optionally, determining the target water quality detection parameter average value according to the adjacent target water quality detection parameter sequence includes:

[0055] The device management platform determines an adjacent target water quality detection parameter subsequence from the adjacent target water quality detection parameter sequence according to the calibration time information of each adjacent target water quality sensor in the adjacent target water quality sensor sequence corresponding to the adjacent target water quality detection parameter sequence and a preset calibration reference time threshold;

[0056] The device management platform determines the target water quality detection parameter average value according to the adjacent target water quality detection parameter subsequences.

[0057] Optionally, after sending the device parameter correction instruction to the target water quality detection device corresponding to the target water quality detection data, the method further includes:

[0058] The target water quality detection device responds to the device parameter correction instruction and, after completing the device parameter correction operation, sends correction time information to the device management platform, so that the correction time information is stored in the device management platform.

[0059] In a third aspect, the present application provides an electronic device, including:

[0060] processor; and,

[0061] A memory, configured to store executable instructions of the processor;

[0062] The processor is configured to perform any possible method described in the first aspect by executing the executable instructions.

[0063] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement any possible method described in the first aspect.

[0064] The water quality detection equipment parameter correction method, system, equipment and medium provided in the present application obtain water quality detection data of the corresponding grid area in the target water area through the water quality detection equipment in the water quality detection equipment array, and send the water quality detection data to the equipment management platform to form a water quality detection data array. Then, the equipment management platform determines the change characteristic data sequence according to the target water quality detection data and the adjacent water quality detection data sequence in the water quality detection data array. If the equipment management platform determines that there is a change characteristic value in the change characteristic data that meets the preset characteristic condition, it generates an equipment parameter correction instruction and sends the equipment parameter correction instruction to the target water quality detection equipment corresponding to the target water quality detection data to instruct the target water quality detection equipment to perform equipment parameter correction operation, so as to timely discover the target water quality detection equipment that needs parameter correction to improve the correction efficiency of the water quality detection equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0066] Figure 1 is a flow chart of a method for calibrating parameters of a water quality detection device according to an exemplary embodiment of the present application;

[0067] Figure 2 is a flow chart of a method for calibrating parameters of a water quality detection device according to another exemplary embodiment of the present application;

[0068] Figure 3 is a schematic structural diagram of a water quality testing equipment management system according to an exemplary embodiment of the present application;

[0069] Figure 4 It is a schematic diagram of the structure of an electronic device according to an exemplary embodiment of the present application.

[0070] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0071] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0072] In order to solve the above problems, the embodiments provided in this application aim to timely discover parameter deviations in water quality testing equipment through real-time monitoring and intelligent analysis of water quality testing data, so as to improve the accuracy and reliability of water quality testing. The embodiments provided in this application are applied to an integrated water quality testing equipment management system, which includes an equipment management platform and a water quality testing equipment array.

[0073] Specifically, the water quality testing equipment management system in the embodiment provided in this application consists of two core parts:

[0074] Equipment management platform: As the control center of the system, it is responsible for receiving data from the water quality testing equipment array, performing intelligent analysis, and generating equipment parameter correction instructions based on the analysis results.

[0075] Water quality testing equipment array: It consists of multiple water quality testing equipment, which are distributed in a grid area array of the target water area. It is used to collect water quality testing data from each grid area in real time and transmit the data to the equipment management platform.

[0076] The method flow of the embodiment provided in this application mainly includes the following steps:

[0077] Data collection and transmission: Each device in the water quality detection device array obtains the water quality detection data of the corresponding grid area in real time. These data include multiple water quality detection parameters (such as turbidity, temperature, pH value, etc.). The device sends the collected water quality detection data to the device management platform to form a water quality detection data array.

[0078] Intelligent data analysis: After receiving the water quality test data, the equipment management platform calculates the change characteristic data sequence through a specific algorithm based on the target water quality test data and the adjacent water quality test data sequence. Each change characteristic value in this sequence reflects the change gradient between the target water quality test data and the adjacent water quality test data.

[0079] Furthermore, the equipment management platform determines the maximum change deviation characteristic value corresponding to each water quality detection parameter and compares it with the preset change deviation characteristic threshold. If the maximum change deviation characteristic value of a parameter exceeds the threshold, it indicates that the parameter may be deviated.

[0080] Precise positioning and correction instruction generation: When it is found that the maximum change of a water quality detection parameter deviates from the characteristic value abnormally, the equipment management platform further analyzes and determines the corresponding target detection sensor from the target water quality detection equipment. Then, the management platform calculates the average value of the target water quality detection parameter based on the relevant data in the adjacent water quality detection data sequence as a reference for correction. Finally, the management platform generates targeted equipment parameter correction instructions based on the type information of the target detection sensor and the calculated average value, and sends them to the target water quality detection equipment.

[0081] Correction execution and feedback: After receiving the correction instruction, the target water quality testing equipment performs the corresponding correction operation and adjusts the equipment parameters. After the correction is completed, the equipment sends the correction time information to the management platform, and the management platform records and stores this information for subsequent maintenance and management. It is worth noting that this step can be performed manually or automatically after the prompt that correction is required.

[0082] By collecting water quality data in real time and conducting intelligent analysis, equipment parameter deviations can be discovered in a timely manner and correction instructions can be quickly generated, improving the timeliness and accuracy of water quality testing. By comparing the target water quality test data with adjacent data, the detection sensor with deviations can be accurately located, avoiding unnecessary costs caused by global corrections. Optionally, the average value of adjacent water quality test data can be used as a correction reference, enhancing the scientificity and accuracy of the correction process.

[0083] Figure 1 FIG. 1 is a flow chart of a method for calibrating parameters of a water quality detection device according to an exemplary embodiment of the present application. Figure 1 As shown, the water quality detection equipment parameter correction method provided in this embodiment includes:

[0084] S101. Acquire water quality detection data of a corresponding grid area in a target water area through water quality detection devices in a water quality detection device array.

[0085] The method provided in this embodiment can be applied to a water quality testing equipment management system. The water quality testing equipment management system may include: an equipment management platform and a water quality testing equipment array, and the equipment management platform is in communication connection with each water quality testing equipment in the water quality testing equipment array. Specifically, the equipment management platform is the core control center of the system, responsible for receiving data from the water quality testing equipment and processing and analyzing it. The water quality testing equipment array is composed of a plurality of water quality testing equipment, which are arranged according to the grid area array of the target water area, and each device is responsible for real-time monitoring of the water quality of its grid area.

[0086] In this step, water quality detection data of the corresponding grid area in the target water area is obtained through the water quality detection equipment in the water quality detection equipment array, and the water quality detection data is sent to the equipment management platform to form a water quality detection data array. The target water area includes a grid area array, and the water quality detection equipment in the water quality detection equipment array is arranged according to the grid area distribution in the grid area array. The water quality detection data includes multiple water quality detection parameters.

[0087] Specifically, each device in the water quality detection device array is equipped with various detection sensors for collecting water quality detection data in the corresponding grid area. These data include but are not limited to multiple water quality detection parameters such as turbidity, temperature, and pH value. After the device collects the water quality detection data, it immediately sends these data to the device management platform via wireless communication or other means. After receiving these data, the management platform forms a water quality detection data array for subsequent analysis.

[0088] S102: The equipment management platform determines a change characteristic data sequence according to target water quality detection data and adjacent water quality detection data sequences in the water quality detection data array.

[0089] In this step, the device management platform determines a change characteristic data sequence according to the target water quality detection data and the adjacent water quality detection data sequence in the water quality detection data array. The change characteristic data in the change characteristic data sequence is used to characterize the change gradient between the target water quality detection data and the corresponding adjacent water quality detection data in the adjacent water quality detection data sequence. The change characteristic data includes multiple change characteristic values.

[0090] Specifically, after receiving the water quality test data, the equipment management platform will first analyze the target water quality test data and the adjacent water quality test data sequence. Specifically, the management platform will use a preset algorithm to calculate the change feature data sequence. Each change feature value in this sequence reflects the change gradient between the target water quality test data and the adjacent water quality test data.

[0091] Furthermore, the management platform will determine the maximum change deviation characteristic value corresponding to each water quality detection parameter based on the calculated change characteristic data sequence. Then, the management platform will compare this value with the preset change deviation characteristic threshold. If the maximum change deviation characteristic value of a parameter exceeds the threshold, it is considered that the parameter may be deviated and the corresponding equipment needs to be further calibrated.

[0092] S103: Generate a device parameter correction instruction, and send the device parameter correction instruction to the target water quality detection device corresponding to the target water quality detection data.

[0093] If the equipment management platform determines that there is a change characteristic value in the change characteristic data that meets the preset characteristic condition, it generates an equipment parameter correction instruction and sends the equipment parameter correction instruction to the target water quality detection equipment corresponding to the target water quality detection data to instruct the target water quality detection equipment to perform an equipment parameter correction operation on the target water quality detection equipment.

[0094] Specifically, when the management platform finds that the maximum change of a water quality detection parameter deviates abnormally from the characteristic value, it will further analyze the data to determine the corresponding target detection sensor and send the equipment parameter correction instruction to the target water quality detection equipment corresponding to the target water quality detection data.

[0095] Then, after the target water quality detection device instructs to perform a device parameter correction operation on the target water quality detection device, the parameter correction can be performed manually.

[0096] The management platform can also calculate the average value of the target water quality detection parameters based on these data as a reference for correction. In order to improve the accuracy of the data, the management platform will screen out the most appropriate parameter data for calculation based on the correction time information of the adjacent target water quality sensors and the preset correction reference time threshold. Finally, the management platform will generate targeted equipment parameter correction instructions based on the type information of the target detection sensor and the calculated average value, and send them to the target water quality detection equipment through wireless communication and other means. After receiving the correction instruction, the target water quality detection equipment will immediately perform the corresponding correction operation and adjust the equipment parameters to restore its normal working state. After the correction operation is completed, the target water quality detection equipment will send the correction time information to the management platform. After receiving this information, the management platform will record and store it for subsequent maintenance and management.

[0097] In this embodiment, water quality detection data of corresponding grid areas in target water areas are obtained through water quality detection devices in the water quality detection device array, and the water quality detection data are sent to the device management platform to form a water quality detection data array. Then, the device management platform determines the change characteristic data sequence according to the target water quality detection data and adjacent water quality detection data sequences in the water quality detection data array. If the device management platform determines that there are change characteristic values ​​in the change characteristic data that meet preset characteristic conditions, a device parameter correction instruction is generated and sent to the target water quality detection device corresponding to the target water quality detection data to instruct the target water quality detection device to perform device parameter correction operation, thereby timely discovering the target water quality detection device that needs parameter correction to improve the correction efficiency of the water quality detection equipment.

[0098] Figure 2 FIG. 1 is a flow chart of a method for calibrating parameters of a water quality detection device according to another exemplary embodiment of the present application. Figure 2 As shown, the water quality detection equipment parameter correction method provided in this embodiment includes:

[0099] S201. Acquire water quality detection data of a corresponding grid area in a target water area through water quality detection devices in a water quality detection device array.

[0100] In this step, water quality detection data of the corresponding grid area in the target water area is obtained by the water quality detection equipment in the water quality detection equipment array, and the water quality detection data is sent to the equipment management platform to form a water quality detection data array, the target water area includes a grid area array, the water quality detection equipment in the water quality detection equipment array is arranged according to the grid area distribution in the grid area array, and the water quality detection data includes multiple water quality detection parameters. .

[0101] Specifically, each device in the water quality detection device array is equipped with various detection sensors for collecting water quality detection data in the corresponding grid area. These data include but are not limited to multiple water quality detection parameters such as turbidity, temperature, and pH value. After the device collects the water quality detection data, it immediately sends these data to the device management platform via wireless communication or other means. After receiving these data, the management platform forms a water quality detection data array for subsequent analysis.

[0102] S202: The equipment management platform determines a change characteristic data sequence according to target water quality detection data and adjacent water quality detection data sequences in the water quality detection data array.

[0103] In this step, the device management platform determines a change characteristic data sequence according to the target water quality detection data and the adjacent water quality detection data sequence in the water quality detection data array. The change characteristic data in the change characteristic data sequence is used to characterize the change gradient between the target water quality detection data and the corresponding adjacent water quality detection data in the adjacent water quality detection data sequence. The change characteristic data includes multiple change characteristic values.

[0104] Specifically, after receiving the water quality test data, the equipment management platform will first analyze the target water quality test data and the adjacent water quality test data sequence. Specifically, the management platform will use a preset algorithm to calculate the change feature data sequence. Each change feature value in this sequence reflects the change gradient between the target water quality test data and the adjacent water quality test data.

[0105] Furthermore, the management platform will determine the maximum change deviation characteristic value corresponding to each water quality detection parameter based on the calculated change characteristic data sequence. Then, the management platform will compare this value with the preset change deviation characteristic threshold. If the maximum change deviation characteristic value of a parameter exceeds the threshold, it is considered that the parameter may be deviated and the corresponding equipment needs to be further calibrated.

[0106] In a possible design, the equipment management platform obtains the target water quality detection data of the target water quality detection equipment. Among them, d i is the i-th water quality detection parameter in the target water quality detection data, and n is the number of water quality detection parameters in the target water quality detection data;

[0107] The equipment management platform obtains the adjacent water quality detection data sequence D = {D 1 ,D 2 ,…,D j ,…,D m}The jth adjacent water quality detection data in, is the jth adjacent water quality detection data Dj The i-th water quality detection parameter in , m is the number of water quality detection data in the adjacent water quality detection data sequence D;

[0108] The equipment management platform uses formula 1 and detects the target water quality data. And the adjacent water quality detection data sequence D determines the change characteristic data sequence T = {T 1 ,T 2 ,…,T j ,…,T m}, where Formula 1 is:

[0109]

[0110] Among them, the jth adjacent water quality detection data D j The corresponding change characteristic data is is the jth adjacent water quality detection data D j The corresponding change characteristic data T j The change characteristic value of the i-th water quality detection parameter in .

[0111] It is worth noting that the equipment management platform achieves the capture of changes between water quality test data by acquiring target water quality test data and adjacent water quality test data sequences, and calculating the change characteristic data sequence using the above formula 1. Formula 1 uses the method of dividing the relative difference by the smaller of the two values, which can effectively reflect the relative change degree between the target water quality test data and the adjacent water quality test data, and improves the accuracy and sensitivity of data processing.

[0112] S203: Generate a device parameter correction instruction, and send the device parameter correction instruction to the target water quality detection device corresponding to the target water quality detection data.

[0113] If the equipment management platform determines that there is a change characteristic value in the change characteristic data that meets the preset characteristic condition, it generates an equipment parameter correction instruction and sends the equipment parameter correction instruction to the target water quality detection equipment corresponding to the target water quality detection data to instruct the target water quality detection equipment to perform an equipment parameter correction operation on the target water quality detection equipment.

[0114] Specifically, when the management platform finds that the maximum change of a water quality detection parameter deviates abnormally from the characteristic value, it will further analyze the data to determine the corresponding target detection sensor and send the equipment parameter correction instruction to the target water quality detection equipment corresponding to the target water quality detection data.

[0115] In a possible design, the device management platform uses formula 2 and according to the change characteristic data sequence T = {T 1 ,T 2,…,T j ,…,T m}Determine the maximum change deviation characteristic value k corresponding to the i-th water quality detection parameter i , Formula 2 is:

[0116]

[0117] The equipment management platform determines the maximum change deviation characteristic value k corresponding to the i-th water quality detection parameter i Greater than the preset change deviation characteristic threshold

[0118] It is worth noting that the above formula 2 effectively identifies abnormal changes in water quality test data by calculating the maximum change deviation characteristic value of the i-th water quality test parameter in the change characteristic data sequence. This formula comprehensively considers the relative deviation between each adjacent water quality test data point and the target water quality test data point, and through standardization, makes the results more comparable and reliable. By comparing the maximum change deviation characteristic value with the preset change deviation characteristic threshold, it is possible to accurately distinguish which water quality test parameters have significant abnormal fluctuations, providing an accurate basis for subsequent parameter correction.

[0119] In addition, the calculation result of Formula 2 can also be directly related to the subsequent equipment parameter correction operation. Only when the maximum change deviation characteristic value is greater than the preset threshold, the water quality detection parameter is considered to need correction. This correction strategy based on precise data analysis avoids unnecessary global correction and improves the pertinence and effectiveness of the correction. At the same time, by setting a reasonable preset threshold, the system can distinguish between normal data fluctuations and real abnormal changes, thereby enhancing the robustness of the system.

[0120] Furthermore, the application of Formula 2 helps optimize resource utilization. By accurately identifying the water quality test parameters that need to be corrected, the system can correct only the parameters that have problems without having to conduct a comprehensive inspection or adjustment of the entire water quality test equipment. This approach not only saves manpower and material resources, but also shortens the correction cycle and improves work efficiency.

[0121] Furthermore, the equipment management platform determines the maximum change deviation characteristic value k corresponding to the i-th water quality detection parameter i The change deviation characteristic threshold is greater than the preset change deviation characteristic threshold, which may include:

[0122] The equipment management platform generates a maximum change deviation characteristic value sequence K={k 1 ,k 2 ,…,k i ,…,k n};

[0123] The device management platform determines that there is only one maximum change deviation characteristic value in the maximum change deviation characteristic value sequence K that is greater than the preset change deviation characteristic threshold.

[0124] In the above scheme, when it is found that the maximum change deviation of only one parameter exceeds the preset threshold, the system can take targeted correction measures to correct only the parameter without adjusting other parameters of normal operation, which not only saves resources but also avoids new errors that may be introduced due to overcorrection. By setting a preset threshold and strictly requiring that only one parameter exceeds the threshold before triggering the correction instruction, the risk of miscorrection is effectively reduced, and the reliability and pertinence of the judgment of parameter correction of water quality detection equipment are improved. It is worth noting that the various parameters of water quality are usually interrelated. When a parameter changes in the water area, other parameters will also change to a certain extent. When the detected water quality detection parameter has a high consistency with the surrounding adjacent detection parameters, and only one water quality detection parameter has an abnormal deviation with the surrounding adjacent detection parameters, the water quality detection parameter may be due to the equipment reasons of the detection equipment. The large error caused, therefore, needs to be corrected to ensure the accuracy of the detection data in the subsequent detection process.

[0125] Further, each water quality detection device in the water quality detection device array includes a detection sensor sequence, and the detection sensor sequence includes a plurality of detection sensors; generating a device parameter correction instruction includes:

[0126] The equipment management platform determines the corresponding target detection sensor from the target water quality detection equipment according to the target water quality detection parameter corresponding to the maximum change deviation characteristic value in the maximum change deviation characteristic value sequence K that is greater than the preset change deviation characteristic threshold;

[0127] The equipment management platform determines the corresponding adjacent target water quality detection parameter sequence from the adjacent water quality detection data sequence D according to the target water quality detection parameter, and determines the average value of the target water quality detection parameter according to the adjacent target water quality detection parameter sequence;

[0128] The equipment management platform generates equipment parameter correction instructions according to the sensor type information corresponding to the target detection sensor and the average value of the target water quality detection parameters.

[0129] In the above scheme, by comparing the maximum change deviation characteristic value with the preset threshold value and accurately determining the corresponding fault detection sensor from the target water quality detection equipment, the unnecessary cost and time consumption caused by the global correction are effectively avoided, and the maintenance efficiency is improved. After determining the target detection sensor, the relevant target water quality detection parameters are extracted from the adjacent water quality detection data sequence, and the average value is determined as a correction reference, thereby making full use of the monitoring data of the surrounding equipment and enhancing the accuracy and scientificity of the correction process. In addition, considering that the water quality detection equipment may contain multiple types of detection sensors, when generating the correction instruction, the correction parameters will be tailored according to the type information of the target detection sensor, which improves the pertinence and applicability of the correction instruction. Then, the equipment parameter correction instruction is automatically generated and sent, so that the water quality detection equipment can be manually adjusted and corrected, or self-adjusted and optimized without manual intervention, which enhances the automation level and self-repair ability of the system. Thereby, the faulty detection sensor is corrected in time, and the accuracy and continuity of the water quality detection data are guaranteed.

[0130] Further, the target water quality detection parameter average value is determined according to the adjacent target water quality detection parameter sequence, including:

[0131] The device management platform determines an adjacent target water quality detection parameter subsequence from the adjacent target water quality detection parameter sequence according to the calibration time information of each adjacent target water quality sensor in the adjacent target water quality sensor sequence corresponding to the adjacent target water quality detection parameter sequence and a preset calibration reference time threshold;

[0132] The equipment management platform determines the average value of the target water quality detection parameter based on adjacent target water quality detection parameter subsequences.

[0133] In the above scheme, by considering the correction time information of the adjacent target water quality sensors and screening out the parameter sequence (i.e., the adjacent target water quality detection parameter subsequence) whose correction time is close to or within the preset correction reference time threshold from the adjacent target water quality detection parameter sequence, the correlation and consistency between the data used to calculate the average value are enhanced, and the accuracy of the subsequent correction judgment is improved. In addition, by using the screened adjacent target water quality detection parameter subsequence to determine the average value of the target water quality detection parameter, the actual performance of the target water quality detection equipment in the current state can be more accurately reflected, thereby improving the accuracy of the correction parameters. By excluding the parameter data detected by sensors with too early correction time, the reliability and stability of the correction parameters are ensured.

[0134] S204, the target water quality detection equipment determines a correction parameter according to the target water quality turbidity average value and the target water quality detection value, and uses the correction parameter to output the water quality detection turbidity value corrected by the optical transmission turbidity sensor.

[0135] It is worth noting that the above-mentioned target detection sensor can be an optical transmission turbidity sensor, the target water quality detection parameter average value is the target water quality turbidity average value, and the target water quality detection parameter is the target water quality detection value.

[0136] After sending the equipment parameter correction instruction to the target water quality detection equipment corresponding to the target water quality detection data, the method further includes:

[0137] The target water quality testing equipment uses formula 3 and calculates the target water quality turbidity average value. And target water quality test value Determine the correction parameters, and use the correction parameters to output the turbidity value of water quality detection after correction of the optical transmission turbidity sensor. Formula 3 is:

[0138]

[0139] Where G is the turbidity value of water quality detected by the optical transmission turbidity sensor after calibration, ρ is a preset constant, s is the working optical path length of the optical transmission turbidity sensor, L in is the preset incident light intensity of the optical transmission turbidity sensor, L out The intensity of the transmitted light detected by the optical transmission turbidity sensor. It is the target water quality detection parameter.

[0140] It is worth noting that the above formula 3 calculates the turbidity value of water quality detection after correction of the optical transmission turbidity sensor by combining the target water quality turbidity average value and the target water quality detection value. This method fully considers the actual changes in water quality parameters and accurately adjusts the output of the sensor accordingly, thereby significantly improving the precision and accuracy of turbidity detection.

[0141] Regularly calibrating the optical transmission turbidity sensor using Formula 3 can promptly detect and correct the deviation of the sensor during long-term operation, ensuring that the sensor always maintains stable detection performance. This helps to extend the service life of the sensor and reduce detection data errors caused by sensor failure.

[0142] The correction method based on Formula 3 enhances the reliability of the entire water quality testing equipment management system. By correcting the sensor parameters in real time and accurately, the system can continuously output accurate and reliable water quality testing data, providing strong data support for environmental protection and water resources management.

[0143] In addition, the parameters in Formula 3 (such as preset constants, working optical path length, and preset incident light intensity) can be adjusted according to different water quality conditions and environmental factors, so that the system can adapt to various complex water quality monitoring scenarios, thereby improving the applicability of the system.

[0144] S205. The target water quality detection device responds to the device parameter correction instruction and sends correction time information to the device management platform after completing the device parameter correction operation.

[0145] In this step, the target water quality detection device responds to the device parameter correction instruction, and after completing the device parameter correction operation, sends the correction time information to the device management platform to store the correction time information in the device management platform.

[0146] In the above solution, by recording and storing the calibration time information, the system can clearly track the calibration history of each water quality testing equipment, provide reliable data support for subsequent maintenance, analysis and optimization, and enhance the traceability and management efficiency of the system. In addition, the equipment management platform can reasonably arrange the subsequent maintenance plan and inspection cycle based on the calibration time information to ensure that the water quality testing equipment is always in good working condition and reduce the interruption or error of monitoring data caused by equipment failure.

[0147] Figure 3 Schematic diagram of a water quality testing equipment management system according to an exemplary embodiment of the present application. Figure 3 As shown, the water quality detection equipment management system 300 provided in this embodiment includes: an equipment management platform 310 and a water quality detection equipment array 320, wherein the equipment management platform 310 is in communication connection with each water quality detection equipment in the water quality detection equipment array 320;

[0148] Acquire water quality detection data of corresponding grid areas in the target water area through the water quality detection devices in the water quality detection device array 320, and send the water quality detection data to the device management platform 310 to form a water quality detection data array, wherein the target water area includes a grid area array, and the water quality detection devices in the water quality detection device array 320 are arranged according to the grid area distribution in the grid area array, and the water quality detection data includes a plurality of water quality detection parameters;

[0149] The device management platform 310 determines a change characteristic data sequence according to the target water quality detection data and the adjacent water quality detection data sequence in the water quality detection data array, wherein the change characteristic data in the change characteristic data sequence is used to characterize the change gradient between the target water quality detection data and the corresponding adjacent water quality detection data in the adjacent water quality detection data sequence, and the change characteristic data includes a plurality of change characteristic values;

[0150] If the device management platform 310 determines that there is a change characteristic value in the change characteristic data that meets the preset characteristic condition, it generates a device parameter correction instruction and sends the device parameter correction instruction to the target water quality detection device corresponding to the target water quality detection data to instruct the target water quality detection equipment to perform device parameter correction on the target water quality detection equipment.

[0151] Optionally, the device management platform 310 determines the change characteristic data sequence according to the target water quality detection data and the adjacent water quality detection data sequence in the water quality detection data array, including:

[0152] The equipment management platform 310 obtains the target water quality detection data of the target water quality detection equipment Among them, d i is the i-th water quality detection parameter in the target water quality detection data, and n is the number of water quality detection parameters in the target water quality detection data;

[0153] The equipment management platform 310 obtains the adjacent water quality detection data sequence D={D 1 ,D 2 ,…,D j ,…,D m}The jth adjacent water quality detection data in, is the jth adjacent water quality detection data D j The i-th water quality detection parameter in , m is the number of water quality detection data in the adjacent water quality detection data sequence D;

[0154] The equipment management platform 310 detects the target water quality data based on the target water quality data. And the adjacent water quality detection data sequence D determines the change characteristic data sequence T = {T 1 ,T 2 ,…,T j ,…,T m}.

[0155] Optionally, the device management platform 310 determines that there is a change characteristic value in the change characteristic data that satisfies a preset characteristic condition, including:

[0156] The device management platform 310 generates a data sequence T={T 1 ,T 2 ,…,T j ,…,T m}Determine the maximum change deviation characteristic value corresponding to the i-th water quality detection parameter;

[0157] The equipment management platform 310 determines the maximum change deviation characteristic value k corresponding to the i-th water quality detection parameteri Greater than the preset change deviation characteristic threshold

[0158] Optionally, the device management platform 310 determines the maximum change deviation characteristic value k corresponding to the i-th water quality detection parameter i Greater than the preset change deviation characteristic threshold include:

[0159] The equipment management platform 310 generates a maximum change deviation characteristic value sequence K={k 1 ,k 2 ,…,k i ,…,k n};

[0160] The device management platform 310 determines that there is only one maximum change deviation characteristic value in the maximum change deviation characteristic value sequence K that is greater than the preset change deviation characteristic threshold.

[0161] Optionally, each water quality detection device in the water quality detection device array 320 includes a detection sensor sequence, and the detection sensor sequence includes a plurality of detection sensors; the generating device parameter correction instruction includes:

[0162] The device management platform 310 determines the corresponding target detection sensor from the target water quality detection device according to the target water quality detection parameter corresponding to the maximum change deviation characteristic value in the maximum change deviation characteristic value sequence K that is greater than the preset change deviation characteristic threshold;

[0163] The device management platform 310 determines a corresponding adjacent target water quality detection parameter sequence from the adjacent water quality detection data sequence D according to the target water quality detection parameter, and determines an average value of the target water quality detection parameter according to the adjacent target water quality detection parameter sequence;

[0164] The device management platform 310 generates the device parameter correction instruction according to the sensor type information corresponding to the target detection sensor and the target water quality detection parameter average value.

[0165] Optionally, determining the target water quality detection parameter average value according to the adjacent target water quality detection parameter sequence includes:

[0166] The device management platform 310 determines an adjacent target water quality detection parameter subsequence from the adjacent target water quality detection parameter sequence according to the calibration time information of each adjacent target water quality sensor in the adjacent target water quality sensor sequence corresponding to the adjacent target water quality detection parameter sequence and a preset calibration reference time threshold;

[0167] The device management platform 310 determines the target water quality detection parameter average value according to the adjacent target water quality detection parameter subsequences.

[0168] Optionally, after sending the device parameter correction instruction to the target water quality detection device corresponding to the target water quality detection data, the method further includes:

[0169] The target water quality detection device responds to the device parameter correction instruction and, after completing the device parameter correction operation, sends correction time information to the device management platform 310 so that the correction time information is stored in the device management platform 310 .

[0170] Figure 4 is a schematic diagram of the structure of an electronic device according to an exemplary embodiment of the present application. Figure 4 As shown, an electronic device 400 provided in this embodiment includes: a processor 401 and a memory 402; wherein:

[0171] The memory 402 is used to store computer programs, and the memory may also be a flash memory.

[0172] The processor 401 is used to execute the execution instructions stored in the memory to implement each step in the above method. For details, please refer to the relevant description in the above method embodiment.

[0173] Optionally, the memory 402 may be independent or integrated with the processor 401 .

[0174] When the memory 402 is a device independent of the processor 401, the electronic device 400 may further include:

[0175] The bus 403 is used to connect the memory 402 and the processor 401 .

[0176] This embodiment further provides a readable storage medium, in which a computer program is stored. When at least one processor of an electronic device executes the computer program, the electronic device executes the methods provided in the above-mentioned various implementation modes.

[0177] This embodiment also provides a program product, which includes a computer program stored in a readable storage medium. At least one processor of the electronic device can read the computer program from the readable storage medium, and at least one processor executes the computer program so that the electronic device implements the methods provided in the above various embodiments.

[0178] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the claims.

[0179] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for calibrating parameters of water quality testing equipment, characterized in that: Applied to a water quality testing equipment management system, the water quality testing equipment management system comprises: an equipment management platform and a water quality testing equipment array, the equipment management platform is communicatively connected with each water quality testing equipment in the water quality testing equipment array; the method comprises: Acquire water quality detection data of corresponding grid areas in the target water area through the water quality detection devices in the water quality detection device array, and send the water quality detection data to the device management platform to form a water quality detection data array, wherein the target water area includes a grid area array, the water quality detection devices in the water quality detection device array are arranged according to the grid area distribution in the grid area array, and the water quality detection data includes a plurality of water quality detection parameters; The device management platform determines a change characteristic data sequence according to the target water quality detection data and the adjacent water quality detection data sequence in the water quality detection data array, wherein the change characteristic data in the change characteristic data sequence is used to characterize the change gradient between the target water quality detection data and the corresponding adjacent water quality detection data in the adjacent water quality detection data sequence, and the change characteristic data includes a plurality of change characteristic values; If the device management platform determines that there is a change characteristic value in the change characteristic data that meets the preset characteristic condition, it generates an equipment parameter correction instruction and sends the equipment parameter correction instruction to the target water quality detection equipment corresponding to the target water quality detection data to instruct the target water quality detection equipment to perform an equipment parameter correction operation on the target water quality detection equipment.

2. The method for calibrating parameters of water quality testing equipment according to claim 1, characterized in that: The device management platform determines a change characteristic data sequence according to the target water quality detection data and adjacent water quality detection data sequences in the water quality detection data array, including: The equipment management platform obtains the target water quality detection data of the target water quality detection equipment Among them, d i is the i-th water quality detection parameter in the target water quality detection data, and n is the number of water quality detection parameters in the target water quality detection data; The equipment management platform obtains the adjacent water quality detection data sequence D={D 1 ,D 2 ,…,D j ,…,D m }The jth adjacent water quality detection data in, is the jth adjacent water quality detection data D j The i-th water quality detection parameter in , m is the number of water quality detection data in the adjacent water quality detection data sequence D; The equipment management platform detects the target water quality data And the adjacent water quality detection data sequence D determines the change characteristic data sequence T = {T 1 ,T 2 ,…,T j ,…,T m }.

3. The method for calibrating parameters of water quality testing equipment according to claim 2, characterized in that: The device management platform determines that there is a change characteristic value in the change characteristic data that meets a preset characteristic condition, including: The device management platform is based on the change characteristic data sequence T={T 1 ,T 2 ,…,T j ,…,T m }Determine the maximum change deviation characteristic value corresponding to the i-th water quality detection parameter; The equipment management platform determines the maximum change deviation characteristic value k corresponding to the i-th water quality detection parameter i Greater than the preset change deviation characteristic threshold 4. The method for calibrating parameters of water quality testing equipment according to claim 3, characterized in that: The equipment management platform determines the maximum change deviation characteristic value k corresponding to the i-th water quality detection parameter i Greater than the preset change deviation characteristic threshold include: The equipment management platform generates a maximum change deviation characteristic value sequence K={k1, k2, ..., k i ,…,k n }; The device management platform determines that there is only one maximum change deviation characteristic value in the maximum change deviation characteristic value sequence K that is greater than the preset change deviation characteristic threshold.

5. The method for calibrating parameters of water quality testing equipment according to claim 4, characterized in that: Each water quality detection device in the water quality detection device array includes a detection sensor sequence, and the detection sensor sequence includes a plurality of detection sensors; the generating device parameter correction instruction includes: The device management platform determines the corresponding target detection sensor from the target water quality detection device according to the target water quality detection parameter corresponding to the maximum change deviation characteristic value in the maximum change deviation characteristic value sequence K that is greater than the preset change deviation characteristic threshold; The device management platform determines a corresponding adjacent target water quality detection parameter sequence from the adjacent water quality detection data sequence D according to the target water quality detection parameter, and determines an average value of the target water quality detection parameter according to the adjacent target water quality detection parameter sequence; The device management platform generates the device parameter correction instruction according to the sensor type information corresponding to the target detection sensor and the target water quality detection parameter average value.

6. The method for calibrating parameters of water quality testing equipment according to claim 5, characterized in that: The step of determining the target water quality detection parameter average value according to the adjacent target water quality detection parameter sequence comprises: The device management platform determines an adjacent target water quality detection parameter subsequence from the adjacent target water quality detection parameter sequence according to the calibration time information of each adjacent target water quality sensor in the adjacent target water quality sensor sequence corresponding to the adjacent target water quality detection parameter sequence and a preset calibration reference time threshold; The device management platform determines the target water quality detection parameter average value according to the adjacent target water quality detection parameter subsequences.

7. The method for calibrating parameters of water quality testing equipment according to any one of claims 1 to 6, characterized in that: After sending the device parameter correction instruction to the target water quality detection device corresponding to the target water quality detection data, the method further includes: The target water quality detection device responds to the device parameter correction instruction and, after completing the device parameter correction operation, sends correction time information to the device management platform, so that the correction time information is stored in the device management platform.

8. A water quality testing equipment management system, characterized in that: include: An equipment management platform and a water quality testing equipment array, wherein the equipment management platform is communicatively connected with each water quality testing equipment in the water quality testing equipment array; Acquire water quality detection data of corresponding grid areas in the target water area through the water quality detection devices in the water quality detection device array, and send the water quality detection data to the device management platform to form a water quality detection data array, wherein the target water area includes a grid area array, the water quality detection devices in the water quality detection device array are arranged according to the grid area distribution in the grid area array, and the water quality detection data includes a plurality of water quality detection parameters; The device management platform determines a change characteristic data sequence according to the target water quality detection data and the adjacent water quality detection data sequence in the water quality detection data array, wherein the change characteristic data in the change characteristic data sequence is used to characterize the change gradient between the target water quality detection data and the corresponding adjacent water quality detection data in the adjacent water quality detection data sequence, and the change characteristic data includes a plurality of change characteristic values; If the device management platform determines that there is a change characteristic value in the change characteristic data that meets the preset characteristic condition, it generates an equipment parameter correction instruction and sends the equipment parameter correction instruction to the target water quality detection equipment corresponding to the target water quality detection data to instruct the target water quality detection equipment to perform equipment parameter correction.

9. An electronic device, characterized in that: include: processor; as well as, A memory, configured to store executable instructions of the processor; The processor is configured to perform the method of any one of claims 1 to 7 by executing the executable instructions.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 7 when executed by a processor.

Images