Control system and method based on environment monitoring

Abstract

The invention discloses a control system and method based on environment monitoring, and relates to the technical field of environment monitoring management, and the system comprises an environment monitoring module, a monitoring equipment information collection module, an equipment calibration reference module and a calibration time adjustment selection module. Detected water quality data are analyzed, water quality treatment measures are planned, and historical calibration information of a dissolved oxygen sensor for water quality environment detection and dissolved oxygen content information of a water body before and after water quality treatment are acquired through a monitoring equipment information acquisition module; the optimal time segmentation value is set through the equipment calibration reference module and used for planning the calibration time of the dissolved oxygen sensor, sensor calibration reference data are generated, a dissolved oxygen content change trend prediction equation is established through the calibration time adjustment selection module, the optimal time for adjusting the calibration time is selected, the calibration time is adjusted, and the calibration time is adjusted. The dynamic automatic adjustment of the calibration time of the sensor is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental monitoring management, in particular to a control system and method based on environmental monitoring. Background Art

[0002] Dissolved oxygen sensors are used in water quality monitoring. They are sensors used to measure the amount of oxygen dissolved in water. They can monitor the dissolved oxygen content in water in real time and provide timely and accurate data support, which is crucial for assessing the self-purification capacity of water bodies, the degree of organic pollution, and the health of the ecosystem. When using a dissolved oxygen sensor to collect water quality environmental data, the dissolved oxygen sensor needs to be calibrated frequently to reduce the probability of sensor data drift leading to a decrease in the accuracy of the collected data. The worse the water quality of the water body, the higher the probability of data drift due to interference from water pollution. Therefore, frequent data calibration is required to improve data collection accuracy. The existing technology requires manual judgment of the time to calibrate the dissolved oxygen sensor based on information such as the water pollution situation, and the time is generally fixed and rough. There is a lack of a way to automatically set the optimal sensor calibration time, and it is impossible to minimize the time when the accuracy of the data collected by the sensor is abnormal. Summary of the Invention

[0003] The object of the present invention is to provide a control system and method based on environmental monitoring to solve the problems raised in the prior art.

[0004] To achieve the above-mentioned object, the present invention provides the following technical solutions: a control system based on environmental monitoring, the system comprising an environmental monitoring module, a monitoring equipment information acquisition module, an equipment calibration reference module and a calibration time adjustment selection module; The environmental monitoring module uses sensors to detect water quality, analyzes the detected water quality data and plans water quality control measures; The monitoring equipment information collection module collects historical calibration information of the dissolved oxygen sensor used for water quality environment detection and dissolved oxygen content information of the water body before and after water quality treatment; Analyzing historical calibration information through the device calibration reference module, setting an optimal time split value for planning the time for calibrating the dissolved oxygen sensor, and generating sensor calibration reference data; The calibration time adjustment selection module analyzes the dissolved oxygen content information of the water body before and after water quality treatment, establishes a dissolved oxygen content change trend prediction equation, and combines the change trend prediction equation and sensor calibration reference data to select the best time to adjust the calibration time and perform calibration time adjustment.

[0005] Preferably, the environmental monitoring module includes a water quality environment detection unit, a water quality data transmission unit and a remote monitoring center; The water quality environment detection unit is used to collect water quality data using sensors, which include but are not limited to dissolved oxygen sensors, pH sensors, conductivity sensors, etc. The water quality data transmission unit is used to transmit the collected water quality data to the remote control cabinet, and the remote control cabinet transmits the collected water quality data to the remote monitoring center; The remote monitoring center is used to analyze the received water quality data and plan water quality treatment measures. The remote monitoring center can take corresponding treatment measures based on the water quality data analysis. For example, when it is detected that the dissolved oxygen content in the water area does not meet the normal dissolved oxygen content required, the remote monitoring center will set up aerators and other equipment to supplement the dissolved oxygen in the water body of the corresponding water area until the dissolved oxygen content meets the requirements.

[0006] Preferably, the monitoring equipment information collection module includes an equipment calibration information collection unit and a governance information collection unit; The device calibration information collection unit is used to collect previously set interval time information for dissolving oxygen sensor calibration, generate interval time intervals, divide the interval time intervals, collect previously set interval time information for dissolving oxygen sensor calibration within each interval time interval, and obtain the number of calibrations performed at the corresponding interval time and the number of sensor data drifts detected during calibration; The treatment information collection unit is used to collect the number of times the water body has been treated, and the difference between the initial dissolved oxygen content of the water body after each treatment and the dissolved oxygen content normally required by the corresponding water body.

[0007] Preferably, the device calibration reference module includes a calibration information analysis unit, a time division value planning unit and a calibration reference data generation unit; The calibration information analysis unit is used to retrieve the interval time segment information, obtain the number of interval times for calibrating the dissolved oxygen sensor that fall within each interval time segment, and perform a separate analysis on each interval time segment: analyzing the calibration efficiency of calibrating the sensor according to the plurality of interval times; The time division value planning unit is used to compare the calibration efficiency of the sensor calibration at several time intervals, and set the optimal time division value for each time interval according to the comparison result; The calibration reference data generation unit is used to retrieve and analyze the dissolved oxygen content information collected by the sensor during the calibration of the sensor using the optimal time division value as the calibration interval time, set the dissolved oxygen content difference division value corresponding to each optimal time division value, and combine the corresponding time division value and the dissolved oxygen content difference division value to generate sensor calibration reference data.

[0008] Preferably, the calibration time adjustment selection module includes a trend prediction equation establishment unit and a calibration adjustment timing selection unit; The trend prediction equation establishment unit is used to retrieve and analyze the number of times the water body monitored by the dissolved oxygen sensor whose calibration interval is currently to be adjusted has been treated, as well as the dissolved oxygen content information first collected by the sensor after each treatment of the water body, to establish a dissolved oxygen content change trend prediction equation; The calibration adjustment timing selection unit is used to select the best time to adjust the calibration interval time by combining the dissolved oxygen content change trend prediction equation and the sensor calibration reference data, and adjust the calibration interval time of the dissolved oxygen sensor at the best time.

[0009] A control method based on environmental monitoring comprises the following steps: S1: Use sensors to detect water quality, analyze the detected water quality data, and plan water quality control measures; S2: Collect historical calibration information of dissolved oxygen sensors used for water quality environmental monitoring, as well as dissolved oxygen content information of water bodies before and after water quality treatment; S3: Analyze historical calibration information, set the optimal time split value for planning the time to calibrate the dissolved oxygen sensor, and generate sensor calibration reference data; S4: Analyze the dissolved oxygen content information of the water body before and after water quality treatment, establish a dissolved oxygen content change trend prediction equation, and combine the change trend prediction equation and sensor calibration reference data to select the best time to adjust the calibration time and adjust the calibration time.

[0010] Preferably, in step S2: the maximum and minimum values ​​of the interval time for calibrating the dissolved oxygen sensor set in the past are collected, which are Tmax and Tmin respectively, and the interval time interval [Tmin, Tmax] is generated. The interval time interval is randomly divided into f parts. If (Tmax-Tmin) / Tmin is an integer, let f=(Tmax-Tmin) / Tmin, and generate f interval time segmentation intervals, that is, the interval time interval is divided into f equal parts. The interval time for calibrating the dissolved oxygen sensor set in the past in each interval time segmentation interval is collected, and the number of calibrations performed at the corresponding interval time and the number of times data drift of the sensor is detected during calibration are obtained. The number of calibrations performed at the corresponding interval time refers to the total number of times the sensor is calibrated within the time period set for calibrating the dissolved oxygen sensor. The difference between the dissolved oxygen content of the water body after each treatment and the dissolved oxygen content normally required by the corresponding water body is collected, and the number of times the water body has been treated is collected.

[0011] Preferably, in step S3: a random interval time segmentation interval in the f interval time segmentation intervals is obtained as [A1, A2), and n interval time intervals of the previously set interval time for calibrating the dissolved oxygen sensor are retrieved, and the number of times the calibration is performed at the i-th interval time in the n interval time is obtained as b, and the number of times the sensor data drift is detected during the b calibrations is B, and the calibration efficiency of the sensor calibration at the i-th interval time is calculated as Pi, Pi=B / b, and the calibration efficiency of the sensor calibration at the n interval time is obtained, and the n calibration efficiency rates are compared, and the interval time with the highest calibration efficiency is taken as the optimal time segmentation value of the interval [A1, A2) , the optimal time segmentation value set for the f-time segmentation interval is obtained as {G1, G2, ... Gf}, and the time segmentation value Gj is used as the calibration interval to calibrate the sensor. The difference set between the dissolved oxygen content of the water body collected by the sensor and the dissolved oxygen content required by the water body is H={H1, H2, ... Hm}, where m is the number of dissolved oxygen content collection times. The average of the differences in the set H is taken as the dissolved oxygen content difference segmentation value corresponding to the time segmentation value Gj, and the dissolved oxygen content difference segmentation value set corresponding to the f time segmentation values ​​is obtained as L={L1, L2, ... Lf}, generating the sensor calibration reference data set {(L1, G1), (L2, G2), ... (Lf, Gf)}; Considering that there may be significant differences in the calibration interval times of dissolved oxygen sensors set according to different pollution levels of water bodies in the past, the calibration interval times set in the case of significant differences are relatively rough and not convenient for planning and setting precise sensor calibration interval times. Therefore, in the present invention, the historical calibration interval time range is divided into several small intervals, and time division values are planned for each small divided interval, which is beneficial to helping set precise sensor calibration times. Under each small divided interval, according to historical big data analysis, the calibration efficiency of calibrating the dissolved oxygen sensor under the set calibration interval time is calculated. The higher the calibration efficiency, the more data drift phenomena of the sensor can be detected according to the corresponding calibration interval time. The calibration interval time with the highest calibration efficiency is set as the optimal time division value under the corresponding small divided interval. When adjusting the calibration interval time, the time plan is adjusted according to the optimal time division value under each small divided interval. When the dissolved oxygen content reaches a specified value, the calibration interval time is adjusted, which is beneficial to realizing the dynamic automatic adjustment of the calibration time of the dissolved oxygen sensor.

[0012] Preferably, in step S4: the number of times the water body monitored by the dissolved oxygen sensor whose calibration interval time is to be adjusted currently is k. After each treatment of the water body is retrieved, the set of differences between the dissolved oxygen content collected by the sensor for the first time and the dissolved oxygen content normally required by the corresponding water body is W = {W1, W2,...Wk}. After fitting the data points {(1, W1), (2, W2),...(k, Wk)}, a prediction equation for the change trend of dissolved oxygen content is established: y = r1 * x + r2, where r1 and r2 are fitting coefficients, x represents the independent variable in the prediction equation for the change trend of dissolved oxygen content, and y is the dependent variable. The latest data monitored by the dissolved oxygen sensor is obtained: the difference between the dissolved oxygen content of the water body monitored most recently and the dissolved oxygen content normally required by the water body is s. Comparing s with the differences in set L, it is obtained that s is between two difference division values Lj and Lc in set L, and Lc < s < Lj. Substituting Lc into the prediction equation for the change trend of dissolved oxygen content: letting y = Lc, the predicted value is output: (Lc - r2) / r1. After rounding up (Lc - r2) / r1, the rounded-up value E is obtained. It is predicted that the difference in dissolved oxygen content will reach Lc after the water body is treated E times. The best timing for adjusting the sensor calibration interval time is: adjusting the sensor calibration interval time after the water body is treated for the Eth time, and adjusting the calibration interval time to the time division value Lc; As the water treatment process continues, the pollution of the water body will be improved, and the dissolved oxygen content of the water body will gradually change until it meets the normal dissolved oxygen content requirements. A dissolved oxygen content change trend prediction equation is established based on the number of water treatment times and the dissolved oxygen content change data after treatment. The purpose is to predict how many times the difference between the dissolved oxygen content of the water body and the normally required dissolved oxygen content can reach the difference split value after treatment. The number of water treatments required for the dissolved oxygen content to change to the difference split value is predicted based on the range of the dissolved oxygen content difference monitored most recently. The best time to adjust the sensor calibration interval is selected based on the prediction result, which is conducive to the selection of the adjustment time of each subsequent calibration interval and the automatic control of the sensor calibration time, minimizing the time when the accuracy of the data collected by the sensor is abnormal due to improper calibration time.

[0013] Compared with the prior art, the present invention has the following beneficial effects: The present invention divides the historical calibration interval into several small intervals and plans the time segmentation value for each small segmentation interval, which is conducive to helping set accurate sensor calibration time. In each small segmentation interval, the calibration efficiency of the dissolved oxygen sensor is calibrated under the calibration interval setting based on historical big data analysis, and the calibration interval with the highest calibration efficiency is set as the optimal time segmentation value under the corresponding small segmentation interval. When adjusting the calibration interval, the adjustment time plan is performed based on the optimal time segmentation value under each small segmentation interval. The calibration interval is adjusted when the dissolved oxygen content reaches a specified value, which is conducive to realizing dynamic and automatic adjustment of the calibration time of the dissolved oxygen sensor. Based on the number of water body treatments and the dissolved oxygen content change data after treatment, a dissolved oxygen content change trend prediction equation is established. The purpose is to predict how many times the difference between the dissolved oxygen content of the water body and the normally required dissolved oxygen content can reach the difference cutoff value after treatment. The number of water body treatments required for the dissolved oxygen content to change to the difference cutoff value is predicted based on the range of the dissolved oxygen content difference monitored most recently. The best time to adjust the sensor calibration interval is selected based on the prediction result, which is conducive to the selection of the adjustment time of each subsequent calibration interval and the automatic control of the sensor calibration time, minimizing the time when the accuracy of the data collected by the sensor is abnormal due to improper calibration time. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a schematic structural diagram of a control system based on environmental monitoring according to the present invention; Figure 2 The figure is a flow chart of a control method based on environmental monitoring according to the present invention. DETAILED DESCRIPTION

[0015] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention. Example

[0016] like Figure 1 As shown, this embodiment provides a control system based on environmental monitoring, and the system includes: an environmental monitoring module, a monitoring equipment information acquisition module, an equipment calibration reference module and a calibration time adjustment selection module; the environmental monitoring module uses sensors to detect water quality environment, analyzes the detected water quality data and plans water quality treatment measures; the monitoring equipment information acquisition module collects historical calibration information of the dissolved oxygen sensor used for water quality environment detection and the dissolved oxygen content information of the water body before and after water quality treatment; the equipment calibration reference module analyzes the historical calibration information, sets the optimal time division value for planning the time for calibrating the dissolved oxygen sensor, and generates sensor calibration reference data; the calibration time adjustment selection module analyzes the dissolved oxygen content information of the water body before and after water quality treatment, establishes a dissolved oxygen content change trend prediction equation, and selects the best time to adjust the calibration time in combination with the change trend prediction equation and the sensor calibration reference data and performs calibration time adjustment.

[0017] The environmental monitoring module includes a water quality environment detection unit, a water quality data transmission unit and a remote monitoring center; the water quality environment detection unit is used to collect water quality data using sensors, and the sensors include but are not limited to dissolved oxygen sensors, pH sensors, conductivity sensors, etc.; the water quality data transmission unit is used to transmit the collected water quality data to the remote control cabinet, and the remote control cabinet transmits the collected water quality data to the remote monitoring center; the remote monitoring center is used to analyze the received water quality data and plan water quality treatment measures. The remote monitoring center can take corresponding treatment measures based on the water quality data analysis. For example: when it is detected that the dissolved oxygen content in the water area does not meet the normal dissolved oxygen content requirements, the remote monitoring center will take measures such as setting up aerators and other equipment to supplement the dissolved oxygen in the water body of the corresponding water area until the dissolved oxygen content meets the requirements.

[0018] The monitoring equipment information collection module includes an equipment calibration information collection unit and a treatment information collection unit; the equipment calibration information collection unit is used to collect the interval time information of the dissolved oxygen sensor calibration set in the past, generate an interval time interval, divide the interval time interval, and collect the interval time of the dissolved oxygen sensor calibration set in the past within each interval time interval, and obtain the number of calibrations performed according to the corresponding interval time and the number of sensor data drifts detected during calibration; the treatment information collection unit is used to collect the number of times the water body has been treated, the difference between the initial dissolved oxygen content of the water body after each treatment and the dissolved oxygen content normally required by the corresponding water body.

[0019] The equipment calibration reference module includes a calibration information analysis unit, a time division value planning unit and a calibration reference data generation unit; the calibration information analysis unit is used to retrieve the interval time division interval information, obtain the number of interval times for calibrating the dissolved oxygen sensor that has been set in the past and falls within each interval time division interval, and perform a separate analysis on each interval time division interval: analyze the calibration efficiency of calibrating the sensor at several interval times; the time division value planning unit is used to compare the calibration efficiency of calibrating the sensor at several interval times, and set the optimal time division value for each interval time division interval based on the comparison result; the calibration reference data generation unit is used to retrieve and analyze the dissolved oxygen content information collected by the sensor during the calibration of the sensor using the optimal time division value as the calibration interval time, set the dissolved oxygen content difference division value corresponding to each optimal time division value, and combine the corresponding time division value and the dissolved oxygen content difference division value to generate sensor calibration reference data.

[0020] The calibration time adjustment selection module includes a trend prediction equation establishment unit and a calibration adjustment timing selection unit; the trend prediction equation establishment unit is used to retrieve and analyze the number of times the water body monitored by the dissolved oxygen sensor whose calibration interval is to be adjusted has been treated, as well as the dissolved oxygen content information collected by the sensor for the first time after each treatment of the water body, and establish a dissolved oxygen content change trend prediction equation; the calibration adjustment timing selection unit is used to combine the dissolved oxygen content change trend prediction equation and the sensor calibration reference data to select the best time to adjust the calibration interval, and adjust the calibration interval of the dissolved oxygen sensor at the best time. Example

[0021] like Figure 2 As shown, this embodiment provides a control method based on environmental monitoring, which is implemented based on the control system in the embodiment and specifically includes the following steps: S1: Use sensors to detect water quality, analyze the detected water quality data, and plan water quality control measures; S2: Collect historical calibration information of dissolved oxygen sensors used for water quality environment monitoring and dissolved oxygen content information of water bodies before and after water quality treatment: collect the maximum and minimum interval time of dissolved oxygen sensor calibration set in the past, Tmax and Tmin, respectively, generate an interval time interval [Tmin, Tmax], and randomly divide the interval time interval into f parts. If (Tmax-Tmin) / Tmin is an integer, let f=(Tmax-Tmin) / Tmin, and generate f interval time segmentation intervals, that is, divide the interval time interval into f equal parts; For example, if the interval time interval is [5,30], the interval time interval is divided into 5 equal parts, namely [5,10), [10,15), [15,20), [20,25), and [25,30], generating 5 interval time segmentation intervals; Collect the previously set interval time for dissolved oxygen sensor calibration within each interval time segment, obtain the number of calibrations performed at the corresponding interval time and the number of times the sensor data drift was detected during calibration. The number of calibrations performed at the corresponding interval time refers to the total number of sensor calibrations performed within the time period set for the dissolved oxygen sensor calibration; For example: if the sensor is calibrated at the corresponding intervals within the time period [v1, v2], the number of times represents the total number of times the dissolved oxygen sensor is calibrated within the time period [v1, v2]. Collect the difference between the dissolved oxygen content of the water body after each treatment and the dissolved oxygen content normally required by the corresponding water body, and collect the number of times the water body has been treated; S3: Analyze historical calibration information, set the best time segmentation value for planning the time to calibrate the dissolved oxygen sensor, and generate sensor calibration reference data: obtain a random interval time segmentation interval from the f interval time segmentation intervals as [A1, A2), retrieve n interval time intervals of the previously set interval time for calibrating the dissolved oxygen sensor within the range of [A1, A2), obtain the number of times the i-th interval time of calibration is obtained in the n interval time as b, the number of times the sensor data drift is detected during b calibrations is B, calculate the calibration efficiency of the sensor calibration at the i-th interval time as Pi, Pi=B / b, obtain the calibration efficiency of the sensor calibration at the n interval time, compare the n calibration efficiency rates, and use the interval time with the highest calibration efficiency as the best time segmentation value for the interval [A1, A2), and obtain f The optimal time segmentation value set for the time segmentation interval is {G1, G2, ... Gf}. The time segmentation value Gj is used as the calibration interval to calibrate the sensor. The difference set between the dissolved oxygen content of the water body collected by the sensor and the dissolved oxygen content normally required by the water body is H={H1, H2, ... Hm}, where m is the number of dissolved oxygen content collection times. The average of the differences in the set H is taken as the dissolved oxygen content difference segmentation value corresponding to the time segmentation value Gj. The dissolved oxygen content difference segmentation value set corresponding to f time segmentation values ​​is obtained as L={L1, L2, ... Lf}. The sensor calibration reference data set {(L1, G1), (L2, G2), ... (Lf, Gf)} is generated. That is, when the dissolved oxygen content difference of the water body reaches the corresponding difference segmentation value, the interval time for calibrating the dissolved oxygen sensor is adjusted to the corresponding time segmentation value. S4: Analyze the dissolved oxygen content information of the water body before and after water quality treatment, establish a prediction equation for the change trend of the dissolved oxygen content, and select the best timing for adjusting the calibration time and adjust the calibration time in combination with the change trend prediction equation and the sensor calibration reference data: The number of times the water body has been treated monitored by the dissolved oxygen sensor with the current calibration interval time to be adjusted is k. After each treatment of the water body, the set of differences between the dissolved oxygen content collected by the sensor for the first time and the dissolved oxygen content required by the corresponding water body normally is W = {W1, W2,...Wk}. After fitting the data points {(1, W1), (2, W2),...(k, Wk)}, establish a prediction equation for the change trend of the dissolved oxygen content: y = r1 * x + r2, where r1 and r2 are fitting coefficients, x represents the independent variable in the prediction equation for the change trend of the dissolved oxygen content, y is the dependent variable, and * represents the multiplication sign. Obtain the latest data monitored by the dissolved oxygen sensor: The difference between the dissolved oxygen content of the water body monitored most recently and the dissolved oxygen content required by the water body normally is s. Compare s with the differences in set L, and obtain that s is between two difference division values Lj and Lc in set L, and Lc < s < Lj. Substitute Lc into the prediction equation for the change trend of the dissolved oxygen content: Let y = Lc, and output the predicted value: (Lc - r2) / r1. After rounding up (Lc - r2) / r1, obtain the rounded-up value E. Predict that the dissolved oxygen content difference of the water body will reach Lc after E treatments. The best timing for selecting to adjust the sensor calibration interval time is: Adjust the sensor calibration interval time after the E-th treatment of the water body, and adjust the calibration interval time to the time division value Lc.

[0022] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present invention. Any reference signs in the claims should not be regarded as limiting the claimed rights.

Claims

1. A control system based on environmental monitoring, characterized by: The system includes: Environmental monitoring module, monitoring equipment information collection module, equipment calibration reference module and calibration time adjustment selection module; The environmental monitoring module uses sensors to detect water quality, analyzes the detected water quality data and plans water quality control measures; The monitoring equipment information collection module collects historical calibration information of the dissolved oxygen sensor used for water quality environment detection and dissolved oxygen content information of the water body before and after water quality treatment; Analyzing historical calibration information through the device calibration reference module, setting an optimal time split value for planning the time for calibrating the dissolved oxygen sensor, and generating sensor calibration reference data; The calibration time adjustment selection module analyzes the dissolved oxygen content information of the water body before and after water quality treatment, establishes a dissolved oxygen content change trend prediction equation, and combines the change trend prediction equation and sensor calibration reference data to select the best time to adjust the calibration time and perform calibration time adjustment.

2. The control system based on environmental monitoring according to claim 1, characterized in that: The environmental monitoring module includes a water quality environment detection unit, a water quality data transmission unit and a remote monitoring center; The water quality environment detection unit is used to collect water quality data using sensors; The water quality data transmission unit is used to transmit the collected water quality data to the remote control cabinet, and the remote control cabinet transmits the collected water quality data to the remote monitoring center; The remote monitoring center is used to analyze the received water quality data and plan water quality treatment measures.

3. The control system based on environmental monitoring according to claim 2, characterized in that: The monitoring equipment information collection module includes an equipment calibration information collection unit and a governance information collection unit; The device calibration information collection unit is used to collect previously set interval time information for dissolving oxygen sensor calibration, generate interval time intervals, divide the interval time intervals, collect previously set interval time information for dissolving oxygen sensor calibration within each interval time interval, and obtain the number of calibrations performed at the corresponding interval time and the number of sensor data drifts detected during calibration; The treatment information collection unit is used to collect the number of times the water body has been treated, and the difference between the initial dissolved oxygen content of the water body after each treatment and the dissolved oxygen content normally required by the corresponding water body.

4. The control system based on environmental monitoring according to claim 3, characterized in that: The device calibration reference module includes a calibration information analysis unit, a time division value planning unit and a calibration reference data generation unit; The calibration information analysis unit is used to retrieve the interval time segment information, obtain the number of interval times for calibrating the dissolved oxygen sensor that fall within each interval time segment, and perform a separate analysis on each interval time segment: analyzing the calibration efficiency of calibrating the sensor according to the plurality of interval times; The time division value planning unit is used to compare the calibration efficiency of the sensor calibration at several time intervals, and set the optimal time division value for each time interval according to the comparison result; The calibration reference data generation unit is used to retrieve and analyze the dissolved oxygen content information collected by the sensor during the calibration of the sensor using the optimal time division value as the calibration interval time, set the dissolved oxygen content difference division value corresponding to each optimal time division value, and combine the corresponding time division value and the dissolved oxygen content difference division value to generate sensor calibration reference data.

5. The control system based on environmental monitoring according to claim 4, characterized in that: The calibration time adjustment selection module includes a trend prediction equation establishment unit and a calibration adjustment timing selection unit; The trend prediction equation establishment unit is used to retrieve and analyze the number of times the water body monitored by the dissolved oxygen sensor whose calibration interval is currently to be adjusted has been treated, as well as the dissolved oxygen content information first collected by the sensor after each treatment of the water body, to establish a dissolved oxygen content change trend prediction equation; The calibration adjustment timing selection unit is used to select the best time to adjust the calibration interval time by combining the dissolved oxygen content change trend prediction equation and the sensor calibration reference data, and adjust the calibration interval time of the dissolved oxygen sensor at the best time.

6. A control method based on environmental monitoring, characterized in that: The following steps are involved: S1: Use sensors to detect water quality, analyze the detected water quality data, and plan water quality control measures; S2: Collect historical calibration information of dissolved oxygen sensors used for water quality environmental monitoring, as well as dissolved oxygen content information of water bodies before and after water quality treatment; S3: Analyze historical calibration information, set the optimal time split value for planning the time to calibrate the dissolved oxygen sensor, and generate sensor calibration reference data; S4: Analyze the dissolved oxygen content information of the water body before and after water quality treatment, establish a dissolved oxygen content change trend prediction equation, and combine the change trend prediction equation and sensor calibration reference data to select the best time to adjust the calibration time and adjust the calibration time.

7. The control method based on environmental monitoring according to claim 6, characterized in that: In step S2: the maximum and minimum values ​​of the interval time for calibrating the dissolved oxygen sensor set in the past are collected, which are Tmax and Tmin respectively, and the interval time interval [Tmin, Tmax] is generated. The interval time interval is randomly divided into f parts. If (Tmax-Tmin) / Tmin is an integer, let f=(Tmax-Tmin) / Tmin, and f interval time division intervals are generated. The interval time for calibrating the dissolved oxygen sensor set in the past in each interval time division interval is collected, and the number of calibrations performed according to the corresponding interval time and the number of times data drift of the sensor is detected during calibration are obtained. The difference between the dissolved oxygen content of the water body after each treatment and the dissolved oxygen content normally required by the corresponding water body is collected, and the number of times the water body has been treated is collected.

8. The control method based on environmental monitoring according to claim 7, characterized in that: In step S3: Obtain a randomly selected one of the f intervals of interval time as [A1, A2). Retrieve that there are n intervals of the interval time for calibrating the dissolved oxygen sensor set in the past within the range of [A1, A2). Obtain that the number of times of calibration according to the i-th interval time among the n interval times is b, and the number of times of data drift detected in the sensor during the b calibrations is B. Calculate the calibration efficiency Pi for calibrating the sensor according to the i-th interval time, Pi = B / b. Obtain the calibration efficiency for calibrating the sensor according to the n interval times, compare the n calibration efficiencies, and take the interval time with the highest calibration efficiency as the optimal time segmentation value for the interval [A1, A2). Obtain the set of optimal time segmentation values for the f intervals of interval time as {G1, G2,... Gf}. During the process of retrieving the time segmentation value Gj as the calibration interval time to calibrate the sensor, the set of differences between the dissolved oxygen content of the water body collected by the sensor and the dissolved oxygen content required by the normal water body is H = {H1, H2,... Hm}, where m is the number of times of dissolved oxygen content collection. Calculate the average value of the differences within the set H as the dissolved oxygen content difference segmentation value corresponding to the time segmentation value Gj. Obtain the set of dissolved oxygen content difference segmentation values corresponding to the f time segmentation values as L = {L1, L2,... Lf}, and generate the sensor calibration reference data set {(L1, G1), (L2, G2),... (Lf, Gf)}.

9. The control method based on environmental monitoring according to claim 8, characterized in that: In step S4: Retrieve that the number of times of treatment of the water body monitored by the dissolved oxygen sensor for which the calibration interval time is currently to be adjusted is k. Retrieve that after each treatment of the water body, the set of differences between the dissolved oxygen content first collected by the sensor and the dissolved oxygen content required by the corresponding normal water body is W = {W1, W2,... Wk}. Fit the data points {(1, W1), (2, W2),... (k, Wk)} to establish a dissolved oxygen content change trend prediction equation: y = r1 * x + r2, where r1 and r2 are fitting coefficients, x represents the independent variable in the dissolved oxygen content change trend prediction equation, and y is the dependent variable. Obtain the latest data monitored by the dissolved oxygen sensor: The difference between the dissolved oxygen content of the water body monitored most recently and the dissolved oxygen content required by the normal water body is s. Compare s with the differences within the set L, and obtain that s is between two difference segmentation values Lj and Lc within the set L, and Lc < s < Lj. Substitute Lc into the dissolved oxygen content change trend prediction equation: Let y = Lc, and output the predicted value: (Lc - r2) / r1. After performing the ceiling function on (Lc - r2) / r1, obtain the rounded value E. Predict that the dissolved oxygen content difference of the water body will reach Lc after E treatments. The optimal timing for adjusting the sensor calibration interval time is: Adjust the sensor calibration interval time after the E-th treatment of the water body, and adjust the calibration interval time to the time segmentation value Lc.

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