River water quality environment detection method and system

Abstract

The invention discloses a river water quality environment detection method and system, and relates to the technical field of water quality detection. Comprehensive monitoring and dynamic judgment of the water quality are achieved through multi-step data collection, sensor performance detection, data integration calculation and water quality judgment, compared with a traditional water quality monitoring method, the method is higher in timeliness, accuracy and pertinence, and through introduction of sensor performance correction and multi-threshold comparison, the water quality monitoring accuracy is improved. According to the method, the reliability and the accuracy of the water quality detection result are improved, and the water quality evaluation is more dynamic by setting the judgment difference values in different threshold ranges to correspond to different pollution states. The system can respond to the change of water quality at any time and more accurately judge the pollution condition, corresponding equipment and operation power are intelligently selected according to the water quality state for different levels of treatment schemes, and the intelligence of water quality treatment is realized, so that the treatment efficiency is improved, the energy consumption is reduced, and the treatment cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of water quality detection, and in particular to a method and system for detecting river water quality environment. Background Art

[0002] With the rapid development of modern industrial technology, pollution problems are becoming more and more prominent, and environmental protection issues have received great attention from the whole society. Water is an important resource of the natural environment, but its pollution problem is becoming increasingly serious. Therefore, river water quality testing methods have gradually emerged and have been widely used. Conventional water quality environmental testing generally uses on-site water quality testing equipment, and the testing equipment is required to have on-site testing data and response speed, be simple to use, and be easy to carry.

[0003] However, there are still some problems with existing technologies. Traditional water quality monitoring methods may not be able to obtain accurate water quality data in real time. At the same time, when conducting tests, the performance of the sensor is not linked to the water quality, resulting in large errors in the test results. There are also relatively insufficient detailed monitoring and treatment plans for different pollution sources, resulting in insufficient rapid and accurate response to abnormal water quality conditions.

[0004] In practical applications, due to the limitations of traditional methods, there is a failure to promptly discover and resolve river water quality problems, which results in the inability to promptly treat water pollution, posing a potential threat to the ecological environment and human health. Summary of the invention

[0005] 1. Technical issues to be solved

[0006] In view of the deficiencies in the prior art, the present invention provides a river water quality environment detection method and system, which solves the problem mentioned in the background technology that it is impossible to obtain accurate water quality data in real time and there are certain limitations when dealing with complex water quality environments.

[0007] (II) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for detecting river water quality environment, the specific steps are as follows:

[0009] S1, data collection, for the river within the control range, set a first timestamp, collect a first water quality data group, obtain a second timestamp at a fixed time interval after the first timestamp, and collect and obtain a second water quality data group;

[0010] S2, detecting the sensors used for deployment and obtaining the sensor performance data group, cleaning and preprocessing the sensor performance data group, the first water quality data group and the second water quality data group to form a first data set, a second data set and a third data set respectively;

[0011] S3, integrating and calculating the first data set, the second data set and the third data set after dimensionless processing, so as to obtain the first intervention value YSXZ, the second intervention value DZXZ and the sensor correction value CGQB respectively, and then integrating and calculating the first intervention value YSXZ, the second intervention value DZXZ and the sensor correction value CGQB to obtain the water quality dynamic determination value SZPD;

[0012] S4, compare the calculated water quality dynamic judgment value SZPD with the preset first threshold value Y to generate a first comparison result, and judge whether the water quality within the control range meets the standard according to the first comparison result. If it meets the standard, no treatment is performed; if it does not meet the standard, the water quality dynamic judgment value SZPD and the first threshold value Y are dimensionlessly processed and integrated to obtain the judgment difference PDX, and the judgment difference PDX is compared with the preset second threshold value R for the second time to generate a second comparison result, and the pollution level range of the water quality is judged according to the second comparison result;

[0013] S5. According to the pollution level range of the water quality, the preset treatment plan is executed, and a treatment log is generated for archiving.

[0014] Preferably, the control of the river channel in step S1 is completed by a flow rate detection module, a temperature detection module, a depth detection module and a pollution detection module;

[0015] The flow velocity detection module is used to detect and calculate the flow velocity of the water flow in the controlled river channel. The river channel flow velocity value obtained at the first timestamp is recorded as the first flow velocity value HDls, and the river channel flow velocity value obtained at the second timestamp is recorded as the second flow velocity value DZlsz;

[0016] The temperature detection module is used to detect the temperature of the controlled river channel, and the river channel temperature value obtained at the first timestamp is recorded as the first temperature value HDwdz, and the river channel temperature value obtained at the second timestamp is recorded as the second temperature value DZwdz;

[0017] The depth detection module is used to detect the depth of the controlled river channel, and the river channel depth value obtained at the first timestamp is recorded as the first depth value HDsdz, and the river channel depth value obtained at the second timestamp is recorded as the second depth value DZsdz;

[0018] The pollution detection module is used to detect the pollution degree of the controlled river channel, and the river channel pollution value obtained at the first timestamp is recorded as the first pollution value HDwrz, and the river channel pollution value obtained at the second timestamp is recorded as the second pollution value DZwrz;

[0019] In step S2, the sensor performance data group is obtained through the quality control detection module and the signal detection module, wherein the quality control detection module is used to obtain the sensor measurement radius value CGQbj and the sensor measurement sensitivity CGQlmd, and the signal detection module is used to obtain the sensor response time CGQxys and the sensor transmission rate CGQchl.

[0020] Preferably, in step S2, the first data set includes: a first flow rate value HDls, a first temperature value HDwdz, a first depth value HDsdz and a first pollution value HDwrz;

[0021] The second data set includes: a second flow velocity value DZlsz, a second temperature value DZwdz, a second depth value DZsdz, and a second pollution value DZwrz;

[0022] The third data set includes: sensor measurement radius value CGQbj, sensor measurement sensitivity CGQlmd, sensor response time CGQxys and sensor transmission rate CGQchl.

[0023] Preferably, the first intervention value YSXZ and the second intervention value DZXZ are calculated and obtained by the following formulas respectively:

[0024]

[0025] Wherein: HDls is the first flow velocity value, HDwdz is the first temperature value, HDsdz is the first depth value, HDwrz is the first pollution value, DZls is the second flow velocity value, DZwdz is the second temperature value, DZsdz is the second depth value, and DZwrz is the second pollution value;

[0026] a1, a2, a3, b1, b2 and b3 are weight values, and the values ​​of a1, a2, a3, b1, b2 and b3 are adjusted and set by the user.

[0027] Preferably, the sensor correction value is calculated by the following formula:

[0028]

[0029] Where: sensor measurement radius value CGQbj, sensor measurement sensitivity CGQlmd, sensor response time CGQxys and sensor transmission rate CGQchl, ln is a logarithmic function.

[0030] Preferably, the water quality dynamic determination value SZPD is calculated by the following formula:

[0031]

[0032] Where: YSXZ is the first intervention value, DZXZ is the second intervention value, and CGQB is the sensor correction value.

[0033] Preferably, the first comparison result is as follows:

[0034] When the water quality dynamic judgment value SZPD ≤ the first threshold value Y, it means that the current river water quality is within a reasonable range and no intervention is required;

[0035] When the water quality dynamic judgment value SZPD>the first threshold value Y, it means that the current river water quality is within an unreasonable range and intervention is required.

[0036] Preferably, the second comparison result is as follows:

[0037] When the difference PDX is determined to be less than or equal to the second threshold R, it means that the current river water quality is in the first-level pollution state;

[0038] When the second threshold R<determination difference PDX≤second threshold R*108%, it means that the current river water quality is in the secondary pollution state;

[0039] When the difference PDX is greater than the second threshold R*108%, it means that the current river water quality is in the third-level pollution state;

[0040] The determination difference PDX is obtained by calculating the following formula:

[0041]

[0042] Where: SZPD is the dynamic judgment value of water quality, and Y is the first threshold.

[0043] Preferably, when the water quality of the river is in a first-level pollution state, an aeration device, a stirring device and a filtering device are installed in the river, the aeration device operates at 30% to 45% power, the stirring device operates at 40% to 55% power, and the filtering device operates at 30% to 50% power;

[0044] When the water quality of the river is in the secondary pollution state, aeration equipment, mixing equipment and filtering equipment are installed in the river. The aerator operates at 46% to 75% power, the mixing equipment operates at 56% to 80% power, and the filtering equipment operates at 51% to 70% power;

[0045] When the water quality of a river is at the third level of pollution, aeration equipment, mixing equipment and filtration equipment shall be installed in the river. The aerator shall operate at 100% power, the mixing equipment shall operate at 100% power, and the filtration equipment shall operate at 100% power. At the same time, the river water shall be sampled to analyze the nature of the pollution. If it is industrial pollution, the industrial enterprises within 15 kilometers around the river shall be checked, the pollution sources shall be matched, and they shall be ordered to complete the rectification within 6-12 months from now. If it is agricultural pollution, the agricultural enterprises within 3 kilometers around the river shall be checked, the pollution sources shall be matched, and they shall be ordered to complete the rectification within 2-6 months from now. Based on the dynamic detection results, it shall be judged whether the rectification is effective.

[0046] The present invention also provides a river water quality environment detection system, the system includes a first acquisition unit, a second acquisition unit, a data analysis unit, a data parsing unit and an information processing unit;

[0047] The first acquisition unit is used to sample data from the river at a first timestamp and a second timestamp, respectively, so as to obtain a first water quality data group and a second water quality data group, respectively. The first acquisition unit includes a flow rate detection module, a temperature detection module, a depth detection module and a pollution detection module, wherein the flow rate detection module is used to obtain a first flow rate value HDls and a second flow rate value DZlsz, the temperature detection module is used to obtain a first temperature value HDwdz and a second temperature value DZwdz, the depth detection module is used to obtain a first depth value HDsdz and a second depth value DZsdz, and the pollution detection module is used to obtain a first pollution value HDwrz and a second pollution value DZwrz;

[0048] The second acquisition unit is used to detect the sensor to obtain the sensor performance data group, and the second acquisition unit includes a quality control detection module and a signal detection module, wherein the quality control detection module is used to detect the sensor to obtain the sensor measurement radius value CGQbj and the sensor measurement sensitivity CGQlmd, and the signal detection module is used to detect the sensor to obtain the sensor response time CGQxys and the sensor transmission rate CGQchl;

[0049] The data analysis unit is used for data preprocessing and calculation, and the data analysis unit includes a data cleaning module and a calculation module. The data cleaning module is used to preprocess the first water quality data group and the second water quality data group obtained by the first acquisition unit and the sensor performance data group obtained by the second acquisition unit, so as to generate a first data set, a second data set and a third data set. The calculation module is used to integrate and calculate the first data, the second data set and the third data set, so as to obtain a dynamic water quality determination value;

[0050] The data analysis unit is used to perform data analysis, and includes a first comparison module and a second comparison module. The first comparison module is used to compare the water quality dynamic judgment value with a preset first threshold value Y to generate a first comparison result, and judge whether the water quality within the control range meets the standard according to the first comparison result. The second comparison module is used to compare the judgment difference with a preset second threshold value for a second time to generate a second comparison result, and judge the pollution level range of the water quality according to the second comparison result;

[0051] The information processing unit is used to match the environmental protection method and the pollution level range and generate a processing log. The information processing unit includes a storage module, an execution module and a recording module. The storage module is used to store preset treatment plans, the execution module is used to match and execute the specific pollution level of the river channel with the treatment plan, and the recording module is used to generate a processing log for archiving.

[0052] (III) Beneficial effects

[0053] The present invention provides a method and system for detecting river water quality environment, which has the following beneficial effects:

[0054] 1. This river water quality environment detection method and system realizes comprehensive monitoring and dynamic determination of water quality through multi-step data collection, sensor performance detection, data integration calculation and water quality determination. Compared with traditional water quality monitoring methods, this method is more timely, accurate and targeted, and by introducing sensor performance correction and multi-threshold comparison, the reliability and accuracy of water quality detection results of this method are improved.

[0055] 2. The river water quality environment detection method and system make water quality assessment more dynamic by setting the judgment difference within different threshold ranges to correspond to different pollution states. The system can respond to changes in water quality at any time and judge the pollution status more accurately. Different levels of treatment schemes intelligently select corresponding equipment and operating power according to the water quality status, realizing the intelligentization of water quality management, thereby improving management efficiency, reducing energy consumption, and reducing management costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a schematic diagram of the block diagram process of the present invention;

[0057] Figure 2 It is a schematic diagram of the steps of the present invention.

[0058] In the figure: 1. First acquisition unit; 11. Flow rate detection module; 12. Temperature detection module; 13. Depth detection module; 14. Pollution detection module; 2. Second acquisition unit; 21. Quality control detection module; 22. Signal detection module; 3. Data analysis unit; 31. Data cleaning module; 32. Calculation module; 4. Data parsing unit; 41. First comparison module; 42. Second comparison module; 5. Information processing unit; 51. Storage module; 52. Execution module; 53. Recording module. DETAILED DESCRIPTION

[0059] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0060] Example 1

[0061] The present invention provides a method for detecting river water quality environment. Figure 1 , the specific steps are as follows:

[0062] S1, data collection, for the river within the control range, set a first timestamp, collect a first water quality data group, obtain a second timestamp at a fixed time interval after the first timestamp, and collect and obtain a second water quality data group;

[0063] S2, detecting the sensors used for deployment and obtaining the sensor performance data group, cleaning and preprocessing the sensor performance data group, the first water quality data group and the second water quality data group to form a first data set, a second data set and a third data set respectively;

[0064] S3, integrating and calculating the first data set, the second data set and the third data set after dimensionless processing, so as to obtain the first intervention value YSXZ, the second intervention value DZXZ and the sensor correction value CGQB respectively, and then integrating and calculating the first intervention value YSXZ, the second intervention value DZXZ and the sensor correction value CGQB to obtain the water quality dynamic determination value SZPD;

[0065] S4, compare the calculated water quality dynamic judgment value SZPD with the preset first threshold value Y to generate a first comparison result, and judge whether the water quality within the control range meets the standard according to the first comparison result. If it meets the standard, no treatment is performed; if it does not meet the standard, the water quality dynamic judgment value SZPD and the first threshold value Y are dimensionlessly processed and integrated to obtain the judgment difference PDX, and the judgment difference PDX is compared with the preset second threshold value R for the second time to generate a second comparison result, and the pollution level range of the water quality is judged according to the second comparison result;

[0066] S5. According to the pollution level range of the water quality, the preset treatment plan is executed, and a treatment log is generated for archiving.

[0067] In this embodiment: in step S1, by setting different timestamps, river water quality data is collected at different timestamps, thereby forming two groups of comparative data based on time series. Step S1 enables the method to obtain the trend of river water quality changes over time, forming an ordered first and second water quality data group, thereby helping users understand the dynamic changes in water quality and providing basic data for subsequent analysis and processing.

[0068] In step S2, the performance of the sensor is tested to obtain a sensor performance data group, which helps to understand the performance of the sensor, and is cleaned and preprocessed together with the first water quality data group and the second water quality data group to provide reliable input data for subsequent calculations. At the same time, by forming the first data set, the second data set and the third data set, a multi-source data foundation is provided for subsequent integrated calculations.

[0069] In step S3, the data set is dimensionlessly processed and integrated to obtain the intervention value and water quality sample value, which is beneficial to improve the accuracy of the calculation results and ensure that the water quality sample value and intervention value better reflect the actual water quality. The acquisition of the sensor correction value further improves the accuracy of the sensor measurement.

[0070] In step S4, by comparing the water quality dynamic judgment value with the preset threshold, it is possible to quickly determine whether the water quality meets the standard. If it does not meet the standard, the pollution level range is determined by the second comparison result to provide guidance for subsequent processing. This is beneficial to timely discover water quality abnormalities and take corresponding treatment measures.

[0071] In step S5, the preset treatment plan is executed according to the water pollution level, the treatment day value is generated, and the data is archived, so that the method can respond to water quality problems in a timely manner, take effective treatment measures, and ensure that the water quality meets environmental protection standards. Archiving is also beneficial to establish long-term water quality monitoring records and provide data support for future research and analysis.

[0072] This method achieves comprehensive monitoring and dynamic determination of water quality through multi-step data collection, sensor performance testing, data integration calculation and water quality determination. Compared with traditional water quality monitoring methods, this method is more timely, accurate and targeted. By introducing sensor performance correction and multi-threshold comparison, the reliability and accuracy of water quality detection results of this method are improved.

[0073] Example 2

[0074] Please refer to Figure 1 In step S1, the control of the river channel is completed by the flow rate detection module 11, the temperature detection module 12, the depth detection module 13 and the pollution detection module 14;

[0075] The flow velocity detection module 11 is used to detect and calculate the flow velocity of the water flow in the controlled river channel. The river channel flow velocity value obtained at the first timestamp is recorded as the first flow velocity value HDls, and the river channel flow velocity value obtained at the second timestamp is recorded as the second flow velocity value DZlsz;

[0076] The temperature detection module 12 is used to detect the temperature of the controlled river channel. The river channel temperature value obtained at the first timestamp is recorded as the first temperature value HDwdz, and the river channel temperature value obtained at the second timestamp is recorded as the second temperature value DZwdz;

[0077] The depth detection module 13 is used to detect the depth of the controlled river channel. The river channel depth value obtained at the first timestamp is recorded as the first depth value HDsdz, and the river channel depth value obtained at the second timestamp is recorded as the second depth value DZsdz;

[0078] The pollution detection module 14 is used to detect the pollution degree of the controlled river channel. The river channel pollution value obtained at the first timestamp is recorded as the first pollution value HDwrz, and the river channel pollution value obtained at the second timestamp is recorded as the second pollution value DZwrz;

[0079] In step S2, the sensor performance data group is obtained through the quality control detection module 21 and the signal detection module 22, wherein the quality control detection module 21 is used to obtain the sensor measurement radius value CGQbj and the sensor measurement sensitivity CGQlmd, and the signal detection module 22 is used to obtain the sensor response time CGQxys and the sensor transmission rate CGQchl.

[0080] In this embodiment: In step S1, through the flow rate detection module 11, the temperature detection module 12, the depth detection module 13 and the pollution detection module 14, the method completes the comprehensive control of the river channel, obtains data including flow rate, temperature, depth and pollution degree, improves the comprehensiveness of river channel monitoring, and not only considers the chemical composition of water quality, but also considers factors such as flow state, temperature and depth, making the monitoring more comprehensive and accurate. By regularly acquiring data at different timestamps, dynamic monitoring of water flow, temperature, depth and pollution is achieved, which better reflects the spatiotemporal changes of river water quality. These multi-parameter data provide more information for subsequent dynamic judgment of water quality, which is helpful for comprehensive analysis of the overall condition of the river.

[0081] In step S2, through the quality control detection module 21 and the signal detection module 22, the method obtains the sensor performance data group, which helps to perform quality control by obtaining performance parameters such as measurement radius value, measurement sensitivity, response time and transmission rate, and helps to improve the performance and accuracy of the sensor. By monitoring the sensor performance, the deviation or fault of the sensor can be discovered and corrected in time, and the credibility and stability of the data can be improved. After obtaining the sensor performance data group, the water quality data is corrected, which helps to improve the accuracy of the water quality sample value, thereby better serving the dynamic judgment of water quality.

[0082] Through the above S1 and S2 steps, this method completes the acquisition of multiple parameters, thereby improving the comprehensiveness, dynamics and accuracy of the method in grasping the river water quality, and providing a more reliable data basis for water quality monitoring and management. At the same time, this method acquires sensor performance to improve the stability and reliability of the method, making it more suitable for water quality monitoring tasks under different environments and conditions.

[0083] Example 3

[0084] Please refer to Figure 1 In step S2, the first data set includes: a first flow rate value HDls, a first temperature value HDwdz, a first depth value HDsdz and a first pollution value HDwrz;

[0085] The second data set includes: a second flow velocity value DZlsz, a second temperature value DZwdz, a second depth value DZsdz, and a second pollution value DZwrz;

[0086] The third data set includes: sensor measurement radius value CGQbj, sensor measurement sensitivity CGQlmd, sensor response time CGQxys and sensor transmission rate CGQchl.

[0087] In this embodiment, by constructing the first data set, the second data set and the third data set, a comprehensive and detailed data set is formed, including parameters such as water flow, temperature, depth, pollution and sensor performance, so as to more comprehensively understand various aspects of river water quality and improve the comprehensiveness and accuracy of monitoring.

[0088] The first and second data sets provide data acquired at different timestamps, allowing for time series analysis. By observing time series data, we can better understand the changing trends of water quality at different time points and conduct a comprehensive monitoring of water body dynamics.

[0089] Incorporating sensor measurement radius values, measurement sensitivity, response time, and transmission rate into the data set helps correct water quality data. This improves the accuracy of water quality sample values ​​and ensures more reliable monitoring results.

[0090] This method integrates different data sets so that information such as water flow, temperature, depth, pollution and sensor performance can be correlated, which helps to comprehensively analyze the water quality environment, thereby better understanding the relationship between various factors and providing a more comprehensive perspective for water quality monitoring and management. The establishment of the first data set, the second data set and the third data set provides a basis for subsequent data cleaning and preprocessing. Data cleaning and preprocessing can ensure the quality of the data and improve the accuracy of subsequent calculations.

[0091] Example 4

[0092] Please refer to Figure 1 , the first intervention value YSXZ and the second intervention value DZXZ are calculated by the following formulas:

[0093]

[0094] Wherein: HDls is the first flow velocity value, HDwdz is the first temperature value, HDsdz is the first depth value, HDwrz is the first pollution value, DZls is the second flow velocity value, DZwdz is the second temperature value, DZsdz is the second depth value, and DZwrz is the second pollution value;

[0095] a1, a2, a3, b1, b2 and b3 are weight values, and the values ​​of a1, a2, a3, b1, b2 and b3 are adjusted and set by the user.

[0096] In this embodiment, by adjusting a1, a2, a3 and b1, b2, b3, the user can flexibly control the contribution of different parameters to the intervention value. The influence of flow rate, temperature, depth and pollution value can be enhanced or weakened according to specific needs to adapt to different application scenarios.

[0097] The square terms and nonlinear terms of different physical parameters are introduced into the formula, which enhances the description of system complexity. The system can better capture the interaction between multiple variables, thereby improving the accuracy of the results. It combines multiple dimensions such as flow rate, temperature, depth and pollution, and can achieve multi-faceted evaluation under multiple environmental conditions. For example, a higher pollution value can weaken the impact of depth on the intervention value, making the model more flexible, intelligent, and applicable to different environmental conditions.

[0098] The computing system can be more flexibly adapted to different application scenarios, improving the adaptability, accuracy and efficiency of the model. This design can not only handle the complex interactions of multiple variables, but also provide users with higher precision control to ensure the optimal performance of sensors or other measurement systems.

[0099] Example 5

[0100] Please refer to Figure 1 , the sensor correction value is calculated by the following formula:

[0101]

[0102] Where: sensor measurement radius value CGQbj, sensor measurement sensitivity CGQlmd, sensor response time CGQxys and sensor transmission rate CGQchl, ln is a logarithmic function.

[0103] In this embodiment: through the calculation formula of the sensor correction value, the system can better balance the relationship between the sensor's response time, sensitivity, transmission rate and measurement radius, ensuring that the sensor works efficiently, stably and accurately in different scenarios. At the same time, the sensor's measurement capability is enhanced and adapts to the precise measurement needs in complex environments.

[0104] Example 6

[0105] The water quality dynamic judgment value SZPD is calculated by the following formula:

[0106]

[0107] Where: YSXZ is the first intervention value, DZXZ is the second intervention value, and CGQB is the sensor correction value.

[0108] In this embodiment: the formula can accurately reflect the dynamic changes of water quality by comparing the proportional difference between the first intervention value YSXZ and the second intervention value DZXZ. Compared with static analysis, this method is more flexible and can be used to monitor the changing trend of water quality in real time, helping to detect abnormalities or environmental changes in a timely manner.

[0109] The introduction of the sensor correction value CGQB balances the measurement error of the sensor under different environmental conditions and further improves the accuracy of dynamic water quality determination. The correction value ensures the reliability of the measurement data, enables the water quality determination to adapt to the complex environment under various measurement conditions, and improves the robustness of the overall system. The formula automatically handles the relationship between multiple complex parameters, including flow rate, temperature, depth and pollution, and provides dynamic water quality determination results. This helps to build an automated water quality monitoring system, making the water quality determination process more intelligent, reducing human intervention and potential misjudgments. By incorporating pollution values ​​and other water quality parameters into the determination formula, the system's sensitivity to environmental changes is enhanced. When the pollution value is high, the water quality determination is more stringent, which can promptly reflect the potential pollution risks in the environment and provide data support for water quality protection and governance.

[0110] Example 7

[0111] The first comparison result is as follows:

[0112] When the water quality dynamic judgment value SZPD ≤ the first threshold value Y, it means that the current river water quality is within a reasonable range and no intervention is required;

[0113] When the water quality dynamic judgment value SZPD>the first threshold value Y, it means that the current river water quality is within an unreasonable range and intervention is required.

[0114] The second comparison result is as follows:

[0115] When the difference PDX is determined to be less than or equal to the second threshold R, it means that the current river water quality is in the first-level pollution state;

[0116] When the second threshold R<determination difference PDX≤second threshold R*108%, it means that the current river water quality is in the secondary pollution state;

[0117] When it is determined that the difference PDX>the second threshold R*108%, it means that the current river water quality is in the third level pollution state.

[0118] The solution is as follows:

[0119] When the water quality of a river is in the first-level pollution state, aeration equipment, mixing equipment and filtering equipment are installed in the river. The aerator operates at 30% to 45% power, the mixing equipment operates at 40% to 55% power, and the filtering equipment operates at 30% to 50% power;

[0120] When the water quality of the river is in the secondary pollution state, aeration equipment, mixing equipment and filtering equipment are installed in the river. The aerator operates at 46% to 75% power, the mixing equipment operates at 56% to 80% power, and the filtering equipment operates at 51% to 70% power;

[0121] When the water quality of a river is at the third level of pollution, aeration equipment, mixing equipment and filtration equipment shall be installed in the river. The aerator shall operate at 100% power, the mixing equipment shall operate at 100% power, and the filtration equipment shall operate at 100% power. At the same time, the river water shall be sampled to analyze the nature of the pollution. If it is industrial pollution, the industrial enterprises within 15 kilometers around the river shall be checked, the pollution sources shall be matched, and they shall be ordered to complete the rectification within 6-12 months from now. If it is agricultural pollution, the agricultural enterprises within 3 kilometers around the river shall be checked, the pollution sources shall be matched, and they shall be ordered to complete the rectification within 2-6 months from now. Based on the dynamic detection results, it shall be judged whether the rectification is effective.

[0122] In this embodiment: when the water quality dynamic determination value SZPD is within a reasonable range (SZPD ≤ first threshold value Y), this method can provide real-time feedback that the current river water quality is in a reasonable state, avoid unnecessary intervention and interference, and improve the effective use of water resources.

[0123] When the water quality dynamic judgment value SZPD exceeds the first threshold value Y, the system can quickly identify that the river water quality is not within a reasonable range, prompt timely intervention and treatment, prevent the spread of water pollution, and strongly support water environment protection and governance.

[0124] By comparing the difference PDX with the second threshold R, the system can clearly identify the current pollution level of the river water quality, provide clear guidance for subsequent treatment plans, and facilitate targeted environmental governance.

[0125] This method makes water quality assessment more dynamic by setting the judgment difference within different threshold ranges to correspond to different pollution states. The system can respond to changes in water quality at any time and judge the pollution status more accurately. Different levels of treatment schemes intelligently select corresponding equipment and operating power according to the water quality status, realizing the intelligentization of water quality management, thereby improving management efficiency, reducing energy consumption, and reducing management costs.

[0126] The treatment plan sets up equipment and corrective measures according to the pollution level. The system conducts targeted management and rectification for different pollution states to improve the accuracy and effectiveness of governance, and judges whether effective rectification is carried out based on dynamic detection results. This enables water quality governance to have a stronger monitoring and feedback mechanism to ensure the actual effectiveness of corrective measures. The treatment plan makes water quality governance more accurate and efficient through intelligent, hierarchical management and real-time monitoring, and can adjust governance strategies in a timely manner according to actual conditions, bringing significant results to water quality protection and environmental governance.

[0127] Example 8

[0128] The present invention also provides a river water quality environment detection system, please refer to Figure 2, the system includes a first acquisition unit 1, a second acquisition unit 2, a data analysis unit 3, a data parsing unit 4 and an information processing unit 5;

[0129] The first acquisition unit 1 is used to sample data from the river at a first timestamp and a second timestamp, respectively, so as to obtain a first water quality data group and a second water quality data group, respectively. The first acquisition unit 1 includes a flow rate detection module 11, a temperature detection module 12, a depth detection module 13 and a pollution detection module 14, wherein the flow rate detection module 11 is used to obtain a first flow rate value HDls and a second flow rate value DZlsz, the temperature detection module 12 is used to obtain a first temperature value HDwdz and a second temperature value DZwdz, the depth detection module 13 is used to obtain a first depth value HDsdz and a second depth value DZsdz, and the pollution detection module 14 is used to obtain a first pollution value HDwrz and a second pollution value DZwrz;

[0130] The second acquisition unit 2 is used to detect the sensor to obtain the sensor performance data group. The second acquisition unit 2 includes a quality control detection module 21 and a signal detection module 22. The quality control detection module 21 is used to detect the sensor to obtain the sensor measurement radius value CGQbj and the sensor measurement sensitivity CGQlmd. The signal detection module 22 is used to detect the sensor to obtain the sensor response time CGQxys and the sensor transmission rate CGQchl.

[0131] The data analysis unit 3 is used for data preprocessing and calculation. The data analysis unit 3 includes a data cleaning module 31 and a calculation module 32. The data cleaning module 31 is used to preprocess the first water quality data group and the second water quality data group obtained by the first acquisition unit 1 and the sensor performance data group obtained by the second acquisition unit 2, so as to generate a first data set, a second data set and a third data set. The calculation module 32 is used to integrate and calculate the first data, the second data set and the third data set, so as to obtain a dynamic water quality determination value;

[0132] The data analysis unit 4 is used for data analysis, and includes a first comparison module 41 and a second comparison module 42. The first comparison module 41 is used to compare the water quality dynamic judgment value with a preset first threshold value Y to generate a first comparison result, and judge whether the water quality within the control range meets the standard according to the first comparison result. The second comparison module 42 is used to compare the judgment difference with a preset second threshold value for a second time to generate a second comparison result, and judge the pollution level range of the water quality according to the second comparison result;

[0133] The information processing unit 5 is used to match the environmental protection method and the pollution level range and generate a processing log. The information processing unit 5 includes a storage module 51, an execution module 52 and a recording module 53. The storage module 51 is used to store preset treatment plans, the execution module 52 is used to match and execute the specific pollution level of the river channel with the treatment plan, and the recording module 53 is used to generate a processing log for archiving.

[0134] Specific example:

[0135] The first flow velocity value HDls: 1.5 m / s, the second flow velocity value DZlsz: 1.8 m / s;

[0136] The first temperature value HDwdz: 20°C, the second temperature value DZwdz: 22°C;

[0137] The first depth value HDsdz: 2.5m, the second depth value DZsdz: 2.7m;

[0138] The first pollution value HDwrz: 25, the second pollution value DZwrz: 30;

[0139] Sensor measurement radius value CGQbj: 0.8m, sensor measurement sensitivity CGQlmd: 0.6, sensor response time CGQxys: 5s, sensor transmission rate CGQchl: 90%;

[0140] The first intervention value YSXZ: 76.42, the second intervention value DZXZ: 62.54, the sensor correction value CGQB: 0.237, the water quality sample value SZZ: 33.62, the water quality dynamic determination value SZPD: 42.19;

[0141] First threshold Y: 35, second threshold R: 8;

[0142] Water quality dynamic judgment value SZPD: 42.19>first threshold value Y: 35. The first comparison result is: the current river water quality is within an unreasonable range and intervention is required.

[0143] The judgment difference is 7.19, and the judgment difference (7.19) is less than the second threshold value R (8). In the first-level pollution state, aeration equipment, stirring equipment and filtration equipment are installed in the river channel. The aerator operates at 30% to 45% power, the stirring equipment operates at 40% to 55% power, and the filtration equipment operates at 30% to 50% power.

[0144] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for detecting river water quality environment, characterized in that: The specific steps are as follows: S1, data collection, for the river within the control range, set a first timestamp, collect a first water quality data group, obtain a second timestamp at a fixed time interval after the first timestamp, and collect and obtain a second water quality data group; S2, detecting the sensors used for deployment and obtaining the sensor performance data group, cleaning and preprocessing the sensor performance data group, the first water quality data group and the second water quality data group to form a first data set, a second data set and a third data set respectively; S3, integrating and calculating the first data set, the second data set and the third data set after dimensionless processing, so as to obtain the first intervention value YSXZ, the second intervention value DZXZ and the sensor correction value CGQB respectively, and then integrating and calculating the first intervention value YSXZ, the second intervention value DZXZ and the sensor correction value CGQB to obtain the water quality dynamic determination value SZPD; S4, compare the calculated water quality dynamic judgment value SZPD with the preset first threshold value Y to generate a first comparison result, and judge whether the water quality within the control range meets the standard according to the first comparison result. If it meets the standard, no treatment is performed; if it does not meet the standard, the water quality dynamic judgment value SZPD and the first threshold value Y are dimensionlessly processed and integrated to obtain the judgment difference PDX, and the judgment difference PDX is compared with the preset second threshold value R for the second time to generate a second comparison result, and the pollution level range of the water quality is judged according to the second comparison result; S5. According to the pollution level range of the water quality, the preset treatment plan is executed, and a treatment log is generated for archiving.

2. The method for detecting river water quality environment according to claim 1, characterized in that: In step S1, the control of the river channel is completed through the flow rate detection module (11), the temperature detection module (12), the depth detection module (13) and the pollution detection module (14); The flow velocity detection module (11) is used to detect and calculate the flow velocity of the water flow in the controlled river channel, and the river channel flow velocity value obtained at the first timestamp is recorded as the first flow velocity value HDls, and the river channel flow velocity value obtained at the second timestamp is recorded as the second flow velocity value DZlsz; The temperature detection module (12) is used to detect the temperature of the controlled river channel, and the river channel temperature value obtained at the first timestamp is recorded as the first temperature value HDwdz, and the river channel temperature value obtained at the second timestamp is recorded as the second temperature value DZwdz; The depth detection module (13) is used to detect the depth of the controlled river channel, and the river channel depth value obtained at the first timestamp is recorded as the first depth value HDsdz, and the river channel depth value obtained at the second timestamp is recorded as the second depth value DZsdz; The pollution detection module (14) is used to detect the pollution degree of the controlled river channel, and the river channel pollution value obtained at the first timestamp is recorded as the first pollution value HDwrz, and the river channel pollution value obtained at the second timestamp is recorded as the second pollution value DZwrz; In step S2, the sensor performance data group is obtained through the quality control detection module (21) and the signal detection module (22), wherein the quality control detection module (21) is used to obtain the sensor measurement radius value CGQbj and the sensor measurement sensitivity CGQlmd, and the signal detection module (22) is used to obtain the sensor response time CGQxys and the sensor transmission rate CGQchl.

3. The method for detecting river water quality environment according to claim 1, characterized in that: In step S2, the first data set includes: a first flow rate value HDls, a first temperature value HDwdz, a first depth value HDsdz, and a first pollution value HDwrz; The second data set includes: a second flow velocity value DZlsz, a second temperature value DZwdz, a second depth value DZsdz, and a second pollution value DZwrz; The third data set includes: sensor measurement radius value CGQbj, sensor measurement sensitivity CGQlmd, sensor response time CGQxys and sensor transmission rate CGQchl.

4. The method for detecting river water quality environment according to claim 1, characterized in that: The first intervention value YSXZ and the second intervention value DZXZ are calculated and obtained by the following formulas: Wherein: HDls is the first flow velocity value, HDwdz is the first temperature value, HDsdz is the first depth value, HDwrz is the first pollution value, DZls is the second flow velocity value, DZwdz is the second temperature value, DZsdz is the second depth value, and DZwrz is the second pollution value; a1, a2, a3, b1, b2 and b3 are weight values, and the values ​​of a1, a2, a3, b1, b2 and b3 are adjusted and set by the user.

5. The method for detecting river water quality environment according to claim 1, characterized in that: The sensor correction value is calculated by the following formula: Where: sensor measurement radius value CGQbj, sensor measurement sensitivity CGQlmd, sensor response time CGQxys and sensor transmission rate CGQchl, ln is a logarithmic function.

6. The method for detecting river water quality environment according to claim 1, characterized in that: The water quality dynamic determination value SZPD is calculated by the following formula: Where: YSXZ is the first intervention value, DZXZ is the second intervention value, and CGQB is the sensor correction value.

7. The method for detecting river water quality environment according to claim 1, characterized in that: The first comparison result method is as follows: When the water quality dynamic judgment value SZPD ≤ the first threshold value Y, it means that the current river water quality is within a reasonable range and no intervention is required; When the water quality dynamic determination value SZPD>the first threshold value Y, it means that the current river water quality is within an unreasonable range and intervention is required.

8. The method for detecting river water quality environment according to claim 1, characterized in that: The second comparison result method is as follows: When the difference PDX is determined to be less than or equal to the second threshold R, it means that the current river water quality is in the first-level pollution state; When the second threshold R<determination difference PDX≤second threshold R*108%, it means that the current river water quality is in the secondary pollution state; When the difference PDX is greater than the second threshold R*108%, it means that the current river water quality is in the third-level pollution state; The determination difference PDX is obtained by calculating the following formula: Where: SZPD is the dynamic judgment value of water quality, and Y is the first threshold.

9. The method for detecting river water quality environment according to claim 1, characterized in that: The treatment scheme is as follows: When the water quality of a river is in the first-level pollution state, aeration equipment, mixing equipment and filtering equipment are installed in the river. The aerator operates at 30% to 45% power, the mixing equipment operates at 40% to 55% power, and the filtering equipment operates at 30% to 50% power; When the water quality of the river is in the secondary pollution state, aeration equipment, mixing equipment and filtering equipment are installed in the river. The aerator operates at 46% to 75% power, the mixing equipment operates at 56% to 80% power, and the filtering equipment operates at 51% to 70% power; When the water quality of a river is at the third level of pollution, aeration equipment, mixing equipment and filtration equipment shall be installed in the river. The aerator shall operate at 100% power, the mixing equipment shall operate at 100% power, and the filtration equipment shall operate at 100% power. At the same time, the river water shall be sampled to analyze the nature of the pollution. If it is industrial pollution, the industrial enterprises within 15 kilometers around the river shall be checked, the pollution sources shall be matched, and they shall be ordered to complete the rectification within 6-12 months from now. If it is agricultural pollution, the agricultural enterprises within 3 kilometers around the river shall be checked, the pollution sources shall be matched, and they shall be ordered to complete the rectification within 2-6 months from now. Based on the dynamic detection results, it shall be judged whether the rectification is effective.

10. A river water quality environment detection system, comprising the river water quality environment detection method according to any one of claims 1 to 9, characterized in that: The system comprises a first acquisition unit (1), a second acquisition unit (2), a data analysis unit (3), a data parsing unit (4) and an information processing unit (5); The first acquisition unit (1) is used to sample data from a river at a first timestamp and a second timestamp, respectively, so as to obtain a first water quality data group and a second water quality data group, respectively. The first acquisition unit (1) comprises a flow rate detection module (11), a temperature detection module (12), a depth detection module (13) and a pollution detection module (14), wherein the flow rate detection module (11) is used to obtain a first flow rate value HDls and a second flow rate value DZlsz, the temperature detection module (12) is used to obtain a first temperature value HDwdz and a second temperature value DZwdz, the depth detection module (13) is used to obtain a first depth value HDsdz and a second depth value DZsdz, and the pollution detection module (14) is used to obtain a first pollution value HDwrz and a second pollution value DZwrz; The second acquisition unit (2) is used to detect the sensor to obtain a sensor performance data group, and the second acquisition unit (2) comprises a quality control detection module (21) and a signal detection module (22), wherein the quality control detection module (21) is used to detect the sensor to obtain a sensor measurement radius value CGQbj and a sensor measurement sensitivity CGQlmd, and the signal detection module (22) is used to detect the sensor to obtain a sensor response time CGQxys and a sensor transmission rate CGQchl; The data analysis unit (3) is used for data preprocessing and calculation, and the data analysis unit (3) comprises a data cleaning module (31) and a calculation module (32). The data cleaning module (31) is used for preprocessing the first water quality data group and the second water quality data group obtained by the first acquisition unit (1) and the sensor performance data group obtained by the second acquisition unit (2), thereby generating a first data set, a second data set and a third data set. The calculation module (32) is used for integrating and calculating the first data, the second data set and the third data set, thereby obtaining a water quality dynamic determination value SZPD. The data analysis unit (4) is used for performing data analysis and comprises a first comparison module (41) and a second comparison module (42), wherein the first comparison module (41) is used for comparing the water quality dynamic determination value SZPD with a preset first threshold value Y to generate a first comparison result, and judging whether the water quality within the control range meets the standard according to the first comparison result, and the second comparison module (42) is used for performing a second comparison between the determination difference value PDX and a preset second threshold value R to generate a second comparison result, and judging the pollution level range of the water quality according to the second comparison result; The information processing unit (5) is used to match the environmental protection method with the pollution level range and generate a processing log. The information processing unit (5) comprises a storage module (51), an execution module (52) and a recording module (53). The storage module (51) is used to store a preset processing solution. The execution module (52) is used to match and execute the specific pollution level of the river channel with the processing solution. The recording module (53) is used to generate a processing log for archiving.

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