Monitoring and early warning method and system based on full-spectrum water quality analyzer

Abstract

The application discloses a monitoring and early warning method and system based on a full-spectrum water quality analyzer, relates to the technical field of water quality analyzers, and comprises an information arrangement module, an equipment monitoring module and an early warning analysis module; the information arrangement module is used for performing validity detection on collected river water quality data; if the detection is qualified, the river water quality data is sent to a monitoring center for research and analysis by management personnel of the monitoring center; if the detection is unqualified, the full-spectrum water quality analyzer is calibrated, and the river water quality data is re-collected, so that the collected parameter data meets the accuracy requirement of water quality analysis, and the water quality analysis result is more authoritative; the early warning analysis module is used for performing calibration coefficient analysis on calibration information with time stamps stored in a database; if the calibration coefficient is greater than or equal to a calibration threshold, an early warning signal is generated, reminding a detector to maintain or replace the full-spectrum water quality analyzer, so that the measurement accuracy and precision of the full-spectrum water quality analyzer are improved.

Description

Technical Field

[0001] This invention relates to the field of water quality analyzer technology, specifically to a monitoring and early warning method and system based on a full-spectrum water quality analyzer. Background Technology

[0002] Water quality monitoring is the process of monitoring and measuring the types of pollutants in water bodies, the concentrations of various pollutants, and their changing trends, and evaluating the water quality status. Full-spectrum water quality analyzers use sensors to perform online automatic monitoring of water quality and are widely used in the monitoring of surface water, drinking water, and wastewater, serving as an important basis for water environment assessment.

[0003] Rivers, as an important source of tap water, typically require analyzers to monitor water quality and color changes. The performance of the analyzer directly affects the monitoring data, and the accuracy and reliability of the data are crucial factors influencing public trust. Existing water quality analyzers often lack effective and timely safety monitoring methods, leading to inaccurate measurement results due to sensor malfunctions or external environmental influences. This can result in significant safety hazards and economic losses, and it is difficult to analyze the causes of anomalies afterward. Furthermore, during long-term use, malfunctions are often not promptly reported to staff for repairs, shortening the lifespan of the water quality analyzer. Therefore, we propose a monitoring and early warning method and system based on a full-spectrum water quality analyzer. Summary of the Invention

[0004] This invention aims to solve at least one of the technical problems existing in the prior art. To this end, this invention proposes a monitoring and early warning method and system based on a full-spectrum water quality analyzer.

[0005] To achieve the above objectives, an embodiment of the first aspect of the present invention provides a monitoring and early warning system based on a full-spectrum water quality analyzer, comprising a water quality information acquisition module, an information processing module, an equipment monitoring module, and an early warning analysis module;

[0006] The water quality information acquisition module is used by inspectors to collect samples of river water and obtain river water quality data by testing the samples using a full-spectrum water quality analyzer.

[0007] The information processing module is used to test the validity of the river water quality data collected by the water quality information acquisition module. If the test is qualified, the river water quality data is sent to the monitoring center for the management personnel of the monitoring center to study and analyze. If the test is unqualified, the full-spectrum water quality analyzer is calibrated and the river water quality data is collected again.

[0008] The equipment monitoring module is used to monitor the calibration of the full-spectrum water quality analyzer. When it is detected that the sensor in the full-spectrum water quality analyzer is being calibrated, the calibration information is recorded and timestamped and transmitted to the database for real-time storage.

[0009] The early warning analysis module is connected to the database and is used to analyze the calibration coefficients of the timestamped calibration information stored in the database. If the calibration coefficient ZH is greater than the calibration threshold, an early warning signal is generated. The early warning analysis module is used to transmit the early warning signal to the controller.

[0010] After receiving the warning signal, the controller controls the alarm module to issue an alarm to remind the inspector to repair or replace the corresponding sensor in the full-spectrum water quality analyzer.

[0011] Furthermore, the specific analysis steps of the information processing module are as follows:

[0012] Acquire river water quality data collected by the water quality information acquisition module, and establish curves showing the changes of various parameters in the river water quality data over time;

[0013] For the same curve, starting from the initial time, corresponding parameter data are collected according to the preset collection interval. Let the latest collected parameter data be XZn, and take the values ​​of XZn and the previous X1 groups of parameter data, and mark them as the interval parameter information group; where X1 is the preset value.

[0014] The standard deviation µ of the interval parameter information group is calculated according to the standard deviation calculation formula. If µ > the preset standard deviation threshold, the corresponding parameter data is determined to be invalid and the test is unqualified.

[0015] If µ ≤ preset standard deviation threshold, then the deviation value W of the current parameter data is calculated based on XZn and the interval parameter information group. The specific calculation method is as follows:

[0016]

[0017] If the deviation value W ≤ the deviation threshold, the current parameter data is considered valid and the test is qualified; otherwise, the test is unqualified.

[0018] Furthermore, when n≤X1, the value of X1 is automatically reset, and X1=n-1.

[0019] Furthermore, the parameters in the river water quality data include pH value, water temperature, turbidity, dissolved oxygen, and sulfide information.

[0020] Furthermore, the specific data collection steps of the water quality information collection module are as follows:

[0021] The inspectors used sampling devices installed on drones to collect river water samples at different locations and depths in the current river section, and then used drones to transport the sewage samples to the inspectors' location;

[0022] The inspectors used a full-spectrum water quality analyzer to test the river water samples and obtain the river water quality data.

[0023] Furthermore, the calibration information includes the sensor number and calibration time.

[0024] Furthermore, the specific analysis method of the early warning analysis module is as follows:

[0025] Based on the sensor number, obtain the calibration information of the same sensor within a preset time period; count the number of calibrations of the sensor as C1, extract the time period between adjacent calibration times as a buffer period, and mark the number of sensor detections within each buffer period as the buffer frequency Gi;

[0026] The buffer frequency Gi is compared with the frequency threshold, and the number of times Gi < the frequency threshold is counted as P1. When Gi < the frequency threshold, the difference between Gi and the frequency threshold is obtained and summed to obtain the difference frequency value ZT. The difference frequency coefficient CP is calculated using the formula CP=P1×b1+ZT×b2, where b1 and b2 are coefficient factors. The calibration coefficient ZH of the sensor is calculated using the formula ZH=C1×g1+CP×g2, where g1 and g2 are coefficient factors.

[0027] Furthermore, the monitoring and early warning method based on a full-spectrum water quality analyzer, applied to the aforementioned monitoring and early warning system based on a full-spectrum water quality analyzer, includes:

[0028] Step 1: The inspector takes samples of the river water using the water quality information acquisition module and uses a full-spectrum water quality analyzer to test the samples and obtain the river water quality data.

[0029] Step 2: The validity of the river water quality data is tested through the information processing module. If the test is qualified, the river water quality data is sent to the monitoring center for the management personnel of the monitoring center to study and analyze. If the test is unqualified, the full-spectrum water quality analyzer is calibrated and the river water quality data is collected again.

[0030] Step 3: The full-spectrum water quality analyzer is calibrated and monitored through the equipment monitoring module. When the sensor in the full-spectrum water quality analyzer is detected to be calibrated, the calibration information is recorded and timestamped and transmitted to the database for real-time storage.

[0031] Step 4: The early warning analysis module analyzes the calibration coefficients of the timestamped calibration information stored in the database. If the calibration coefficient ZH is greater than the calibration threshold, an early warning signal is generated to remind the inspector to repair or replace the corresponding sensor in the full-spectrum water quality analyzer.

[0032] Compared with the prior art, the beneficial effects of the present invention are:

[0033] 1. In this invention, the inspector collects river water samples at different locations and depths in the current river section using the water quality information acquisition module, making the river water samples more representative and accurate. The information processing module is used to detect the validity of the river water quality data, establish curves of the changes of each parameter in the river water quality data over time, calculate the deviation value W of the current parameter data, and if W ≤ deviation threshold, the current parameter data is determined to be valid and sent to the monitoring center for the management personnel of the monitoring center to study and analyze. Otherwise, the full-spectrum water quality analyzer is calibrated and the corresponding parameter data is re-acquired to ensure that the collected parameter data meets the accuracy requirements of water quality analysis, making the water quality analysis results more credible.

[0034] 2. In this invention, the equipment monitoring module is used to monitor the calibration of the full-spectrum water quality analyzer. When the sensor in the full-spectrum water quality analyzer is detected to be calibrated, the calibration information is recorded and timestamped and transmitted to the database for real-time storage. The early warning analysis module is used to analyze the calibration coefficient of the timestamped calibration information stored in the database. According to the sensor number, the calibration information of the same sensor within a preset time is obtained, the number of calibrations of the sensor and the buffer frequency between adjacent calibration times are counted, and the calibration coefficient ZH of the corresponding sensor is calculated. If ZH ≥ calibration threshold, an early warning signal is generated to remind the inspector to repair or replace the corresponding sensor in the full-spectrum water quality analyzer, thereby improving the measurement accuracy and precision of the full-spectrum water quality analyzer and making the water quality analysis results more credible. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a system block diagram of the monitoring and early warning system based on a full-spectrum water quality analyzer according to the present invention.

[0037] Figure 2 This is a flowchart of the monitoring and early warning method based on a full-spectrum water quality analyzer according to the present invention. Detailed Implementation

[0038] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0039] like Figures 1 to 2 As shown, the monitoring and early warning system based on a full-spectrum water quality analyzer includes a water quality information acquisition module, an information processing module, a monitoring center, an equipment monitoring module, a database, an early warning analysis module, and an alarm module.

[0040] The water quality information acquisition module is used by inspectors to collect samples from river water bodies and obtain river water quality data by analyzing the samples using a full-spectrum water quality analyzer. The specific acquisition steps are as follows:

[0041] The inspectors used sampling devices installed on drones to collect river water samples at different locations and depths in the current river section, and then used drones to transport the sewage samples to the inspectors' location;

[0042] The sampling device selected is the wastewater sampling device from the document with announcement number CN211292173U. This device can be moved to any position in the water area to be sampled by a float plate, and at the same time, it can sample wastewater at different depths at the location. It has high water sampling efficiency and the sampled wastewater is more representative and accurate. At the same time, it can be remotely controlled by adding a motor and a remote drive unit, which reduces the labor intensity of the staff and improves safety.

[0043] The inspectors used a full-spectrum water quality analyzer to test the river water samples and obtain river water quality data, which included pH value, water temperature, turbidity, dissolved oxygen, and sulfide information.

[0044] The water quality information acquisition module transmits river water quality data to the information processing module. The information processing module verifies the validity of the river water quality data. If the data is qualified, it sends the river water quality data to the monitoring center for analysis by the monitoring center's management personnel. If the data is unqualified, the full-spectrum water quality analyzer is calibrated and the river water quality data is re-acquired.

[0045] The specific analysis steps for the information processing module are as follows:

[0046] The water quality data of the river collected by the water quality information acquisition module is obtained, and curves of the changes of various parameters in the river water quality data over time are established; the parameters include pH value, water temperature, turbidity, dissolved oxygen and sulfide information;

[0047] For the same curve, starting from the initial time, corresponding parameter data are collected according to the preset collection interval. Let the latest collected parameter data be XZn, and take the values ​​of XZn and the previous X1 groups of parameter data, and mark them as the interval parameter information group; where X1 is the preset value.

[0048] The standard deviation µ of the interval parameter information group is calculated according to the standard deviation calculation formula. If µ > the preset standard deviation threshold, the corresponding parameter data is determined to be invalid. The sensor in the full-spectrum water quality analyzer that detects the corresponding parameter is calibrated and the corresponding parameter data is re-acquired.

[0049] If µ ≤ preset standard deviation threshold, then the deviation value W of the current parameter data is calculated based on XZn and the interval parameter information group. The specific calculation method is as follows:

[0050] When n ≤ X1, the value of X1 is automatically reset, and X1 = n-1.

[0051] When n > X1, use the formula Calculate the deviation value W of the current parameter data; compare the deviation value W with the deviation threshold;

[0052] If the deviation value W ≤ the deviation threshold, the current parameter data is determined to be valid, and the current parameter data is sent to the monitoring center.

[0053] If the deviation value W > the deviation threshold, the corresponding parameter data is determined to be invalid. The sensor in the full-spectrum water quality analyzer that detects the corresponding parameter is calibrated and the corresponding parameter data is re-acquired.

[0054] This invention performs progressive testing on the collected parameter data and adjusts the accuracy according to the actual situation to ensure that the collected parameter data meets the accuracy requirements of water quality analysis, making the water quality analysis results more credible.

[0055] The equipment monitoring module is used to monitor the calibration of the full-spectrum water quality analyzer. When it is detected that the sensor in the full-spectrum water quality analyzer is being calibrated, the calibration information is recorded and timestamped and transmitted to the database for real-time storage. The calibration information includes the sensor number and calibration time.

[0056] The early warning analysis module is connected to the database and is used to analyze the calibration coefficients of the timestamped calibration information stored in the database. The specific analysis method is as follows:

[0057] Based on the sensor number, obtain the calibration information of the same sensor within a preset time period; count the number of calibrations of the sensor as C1, extract the time period between adjacent calibration times as a buffer period, and mark the number of sensor detections within each buffer period as the buffer frequency Gi;

[0058] Compare the buffer frequency Gi with the frequency threshold, and count the number of times Gi < the frequency threshold as P1. When Gi < the frequency threshold, obtain the difference between Gi and the frequency threshold and sum them to obtain the difference frequency value ZT. Calculate the difference frequency coefficient CP using the formula CP=P1×b1+ZT×b2, where b1 and b2 are coefficient factors.

[0059] The calibration number and the difference frequency coefficient are normalized and their values ​​are taken. The calibration coefficient ZH of the sensor is calculated using the formula ZH=C1×g1+CP×g2, where g1 and g2 are coefficient factors. The larger the calibration coefficient ZH is, the more obvious the trend of poor measurement accuracy of the corresponding sensor is.

[0060] The calibration coefficient ZH is compared with the calibration threshold. If ZH ≥ the calibration threshold, an early warning signal is generated. The early warning analysis module is used to transmit the early warning signal to the controller. After receiving the early warning signal, the controller controls the alarm module to issue an alarm to remind the inspector to repair or replace the corresponding sensor in the full-spectrum water quality analyzer, thereby improving the measurement accuracy and precision of the full-spectrum water quality analyzer, reducing measurement errors, and minimizing losses.

[0061] The monitoring and early warning method based on a full-spectrum water quality analyzer, applied to the aforementioned monitoring and early warning system based on a full-spectrum water quality analyzer, includes the following steps:

[0062] Step 1: The inspector takes samples of the river water using the water quality information acquisition module and uses a full-spectrum water quality analyzer to test the samples and obtain the river water quality data.

[0063] Step 2: The validity of the river water quality data is tested through the information processing module. If the test is qualified, the river water quality data is sent to the monitoring center for the management personnel of the monitoring center to study and analyze. If the test is unqualified, the full-spectrum water quality analyzer is calibrated and the river water quality data is collected again.

[0064] Step 3: The full-spectrum water quality analyzer is calibrated and monitored through the equipment monitoring module. When the sensor in the full-spectrum water quality analyzer is detected to be calibrated, the calibration information is recorded and timestamped and transmitted to the database for real-time storage.

[0065] Step 4: The early warning analysis module analyzes the calibration coefficients of the timestamped calibration information stored in the database. If the calibration coefficient ZH is greater than the calibration threshold, an early warning signal is generated to remind the inspector to repair or replace the corresponding sensor in the full-spectrum water quality analyzer.

[0066] The above formulas are all numerical calculations after removing dimensions. The formulas are obtained by software simulation based on a large amount of data and are closest to the real situation. The preset parameters and preset thresholds in the formulas are set by those skilled in the art according to the actual situation or obtained by simulation based on a large amount of data.

[0067] Working principle of the invention:

[0068] The monitoring and early warning method and system based on a full-spectrum water quality analyzer works as follows: During operation, the water quality information acquisition module is used by inspectors to collect samples from the river water body and then analyze the samples using the full-spectrum water quality analyzer to obtain river water quality data. The information processing module is used to verify the validity of the river water quality data, establishing curves showing the changes of various parameters in the river water quality data over time. For the same curve, starting from the initial moment, corresponding parameter data is collected at preset acquisition intervals, and the deviation value W of the current parameter data is calculated. If W ≤ the deviation threshold, the current parameter data is deemed valid and sent to the monitoring center for analysis by the monitoring center's management personnel. Otherwise, the full-spectrum water quality analyzer is calibrated, and the corresponding parameter data is re-acquired to ensure that the collected parameter data meets the accuracy requirements of water quality analysis, making the water quality analysis results more credible.

[0069] The equipment monitoring module is used to monitor the calibration of the full-spectrum water quality analyzer. When the sensor in the full-spectrum water quality analyzer is detected to be calibrated, the calibration information is recorded and timestamped and transmitted to the database for real-time storage. The early warning analysis module is used to analyze the calibration coefficient of the timestamped calibration information stored in the database. According to the sensor number, the calibration information of the same sensor within a preset time period is obtained, the number of calibrations of the sensor and the buffer frequency between adjacent calibration times are counted, and the calibration coefficient ZH of the corresponding sensor is calculated. If ZH ≥ calibration threshold, an early warning signal is generated to remind the inspector to repair or replace the corresponding sensor in the full-spectrum water quality analyzer, thereby improving the measurement accuracy and precision of the full-spectrum water quality analyzer and making the water quality analysis results more credible.

[0070] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0071] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A monitoring and early warning system based on a full-spectrum water quality analyzer, characterized in that, It includes a water quality information collection module, an information processing module, an equipment monitoring module, and an early warning analysis module; The water quality information acquisition module is used by inspectors to collect samples from the river water body and to obtain river water quality data by testing the samples using a full-spectrum water quality analyzer; the information processing module is used to test the validity of the river water quality data collected by the water quality information acquisition module. If the test is satisfactory, the river water quality data will be sent to the monitoring center for the management personnel to study and analyze; if the test is unsatisfactory, the full-spectrum water quality analyzer will be calibrated and the river water quality data will be collected again. The equipment monitoring module is used to monitor the calibration of the full-spectrum water quality analyzer. When it is detected that the sensor in the full-spectrum water quality analyzer is being calibrated, the calibration information is recorded and timestamped and transmitted to the database for real-time storage. The early warning analysis module is connected to the database and is used to perform calibration coefficient analysis on the timestamped calibration information stored in the database. The specific analysis method is as follows: Based on the sensor number, obtain the calibration information of the same sensor within a preset time period, where the calibration information includes the sensor number and the calibration time; The number of times the sensor is calibrated is counted as C1. The time period between adjacent calibration times is taken as the buffer period. The number of detections by the sensor in each buffer period is marked as the buffer frequency Gi. Compare the buffer frequency Gi with the frequency threshold, and count the number of times Gi < the frequency threshold as P1. When Gi < the frequency threshold, obtain the difference between Gi and the frequency threshold and sum them to obtain the difference frequency value ZT. Calculate the difference frequency coefficient CP using the formula CP=P1×b1+ZT×b2, where b1 and b2 are coefficient factors. The calibration coefficient ZH of the sensor is calculated using the formula ZH=C1×g1+CP×g2, where g1 and g2 are coefficient factors. If the calibration coefficient ZH is greater than the calibration threshold, an early warning signal is generated. The early warning analysis module is used to transmit the early warning signal to the controller. After receiving the warning signal, the controller controls the alarm module to issue an alarm to remind the inspector to repair or replace the corresponding sensor in the full-spectrum water quality analyzer.

2. The monitoring and early warning system based on a full-spectrum water quality analyzer according to claim 1, characterized in that, The specific analysis steps of the information processing module are as follows: Acquire river water quality data collected by the water quality information acquisition module, and establish curves showing the changes of various parameters in the river water quality data over time; For the same curve, starting from the initial time, corresponding parameter data are collected according to the preset collection interval. Let the latest collected parameter data be XZn, and take the values ​​of XZn and the previous X1 groups of parameter data, and mark them as the interval parameter information group; where X1 is the preset value. The standard deviation µ of the interval parameter information group is calculated according to the standard deviation calculation formula. If µ > the preset standard deviation threshold, the corresponding parameter data is determined to be invalid and the test is unqualified. If µ ≤ preset standard deviation threshold, then the deviation value W of the current parameter data is calculated based on XZn and the interval parameter information group. The specific calculation method is as follows: If the deviation value W ≤ the deviation threshold, the current parameter data is considered valid and the test is qualified; otherwise, the test is unqualified.

3. The monitoring and early warning system based on a full-spectrum water quality analyzer according to claim 2, characterized in that, When n ≤ X1, the value of X1 is automatically reset, and X1 = n-1.

4. The monitoring and early warning system based on a full-spectrum water quality analyzer according to claim 2, characterized in that, The parameters in the river water quality data include pH value, water temperature, turbidity, dissolved oxygen, and sulfide information.

5. The monitoring and early warning system based on a full-spectrum water quality analyzer according to claim 1, characterized in that, The specific data collection steps of the water quality information collection module are as follows: The inspectors used sampling devices installed on drones to collect river water samples at different locations and depths in the current river section, and then used drones to transport the sewage samples to the inspectors' location; The inspectors used a full-spectrum water quality analyzer to test the river water samples and obtain the river water quality data.

6. A monitoring and early warning method based on a full-spectrum water quality analyzer, applied to the monitoring and early warning system based on a full-spectrum water quality analyzer as described in any one of claims 1-5, characterized in that, include: Step 1: The inspector takes samples of the river water using the water quality information acquisition module and uses a full-spectrum water quality analyzer to test the samples and obtain the river water quality data. Step 2: The validity of the river water quality data is tested through the information processing module. If the test is qualified, the river water quality data is sent to the monitoring center for the management personnel of the monitoring center to study and analyze. If the test is unqualified, the full-spectrum water quality analyzer is calibrated and the river water quality data is collected again. Step 3: The full-spectrum water quality analyzer is calibrated and monitored through the equipment monitoring module. When the sensor in the full-spectrum water quality analyzer is detected to be calibrated, the calibration information is recorded and timestamped and transmitted to the database for real-time storage. Step 4: The early warning analysis module analyzes the calibration coefficients of the timestamped calibration information stored in the database. If the calibration coefficient ZH is greater than the calibration threshold, an early warning signal is generated to remind the inspector to repair or replace the corresponding sensor in the full-spectrum water quality analyzer.

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