Intelligent hydrological monitoring and analysis system

Abstract

The invention discloses an intelligent hydrological monitoring and analysis system, and relates to the technical field of hydrological monitoring and analys.The intelligent hydrological monitoring and analysis system comprises a monitoring module, an analysis module, an adjustment module, a secondary monitoring and analysis module and an early warning terminal.The intelligent hydrological monitoring and analysis system is characterized in that a sensor is used for monitoring river water quality parameters in real time and judging whether river water quality is qualified or not; the method comprises the following steps: collecting a panoramic image of each monitoring area, obtaining the position of each garbage on the river bank and the river biomass quantity from the panoramic image, clustering the garbage positions, calculating the pollution coefficient of each clustering area, formulating an adjustment strategy, detecting the adjustment effect, and modifying the strategy if the effect is not good. According to the method, the problem that data analysis is single is solved, multi-dimensional data analysis is achieved, the real-time performance and accuracy of data monitoring are guaranteed, and the reliability of an adjustment strategy and the timeliness of river ecological protection are also guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of hydrological monitoring and analysis, and in particular to an intelligent hydrological monitoring and analysis system. Background Art

[0002] The hydrological monitoring and analysis system is used for the ecological protection of rivers, monitoring the changes in water quality in rivers and the impact of various garbage on the river banks on the rivers. The river ecosystem is one of the important ecosystems in the natural ecosystem. With the acceleration of urbanization and industrialization and the development of agriculture, a large amount of wastewater and sewage are discharged into rivers without treatment, and the river ecosystem has been severely damaged. In order to protect the river ecosystem in real time, it is necessary to develop an intelligent hydrological monitoring and analysis system for the ecological protection of rivers.

[0003] Traditional hydrological monitoring and analysis systems require staff to regularly monitor rivers, use measuring tools to measure the water quality parameters of the rivers, record the measurement data in a notebook and bring it back to the monitoring center, and save the collected water quality parameters in a spreadsheet at the monitoring site. Staff analyze the collected water quality parameters based on the historical water quality parameters in the spreadsheet and formulate adjustment strategies for the river water quality based on the analysis results.

[0004] In view of the above scheme, the applicant of the present invention has found that the above technology has at least the following technical problems: First, manual data collection takes a lot of time, the monitoring cycle of river water quality parameters is long, and the traditional measurement tools have limited accuracy, which cannot guarantee the real-time and accuracy of river water quality monitoring, nor can it guarantee the timeliness of river ecological protection. Second, when formulating the ecological protection strategy of the river, the staff formulated the strategy based on the analysis results of water quality parameters, without analyzing the impact of river bank garbage on the river ecosystem. When formulating the adjustment strategy, the data analysis is relatively simple, and the reliability of the adjustment strategy cannot be guaranteed. Summary of the invention

[0005] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to provide an intelligent hydrological monitoring and analysis system.

[0006] To solve the above technical problems, the present invention adopts the following technical solution: The present invention provides an intelligent hydrological monitoring and analysis system, including a monitoring module, an analysis module, an adjustment module, a secondary monitoring and analysis module and an early warning terminal.

[0007] The monitoring module is used to divide the river into various depth areas and collect water quality parameters of each depth area.

[0008] The analysis module is used to analyze whether the water quality of the river is qualified by using the water quality parameters of each depth area. If it is unqualified, the adjustment module is executed.

[0009] The adjustment module includes an image acquisition unit and an analysis and adjustment unit.

[0010] The image acquisition unit is used to plan a monitoring range with the river as the center, divide the monitoring range into various monitoring areas, arrange a number of acquisition moments at preset time intervals, and use the camera carried by the aircraft to acquire a panoramic image of each monitoring area at each acquisition moment to obtain a panoramic image of each monitoring area at each acquisition moment.

[0011] The analysis and adjustment unit is used to obtain the location and image of each garbage from the panoramic image of each monitoring area at each collection time, and simultaneously obtain the biological data in the river, analyze the adjustment method within the monitoring range, and make adjustments according to the corresponding adjustment method.

[0012] The secondary monitoring and analysis module is used to collect water quality parameters of each depth area again after adjusting the preset time length, and analyze the adjustment effect in the monitoring area.

[0013] The early warning terminal is used to issue an early warning when the adjustment effect in the monitoring area is not good.

[0014] The beneficial effects of the present invention are as follows: the present invention provides an intelligent hydrological monitoring and analysis system, which uses sensors to monitor river water quality parameters in real time and determines whether the river water quality is qualified. If it is unqualified, a panoramic image of each monitoring area is collected to obtain the location of each garbage on the river bank and the number of river organisms, cluster the garbage locations, calculate the pollution coefficient of each clustering area, and formulate an adjustment strategy to detect the effect of the adjustment. If the effect is not good, the strategy is modified, which solves the problem of relatively single data analysis when formulating adjustment strategies, realizes multi-dimensional data analysis, ensures the real-time and accuracy of data monitoring, and also ensures the reliability of the adjustment strategy and the timeliness of river ecological protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 Schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0018] See also Figure 1 As shown, the present invention provides a router shell detection system based on image detection, including: a monitoring module, an analysis module, an adjustment module, a secondary monitoring and analysis module and an early warning terminal.

[0019] The monitoring module collects river water quality parameters in real time, and the analysis module analyzes the collected water quality parameters to determine whether the river water quality is qualified. If it is unqualified, the adjustment module collects panoramic images of each monitoring area within the river monitoring range, and clusters the garbage locations on the river bank, calculates the danger factor of each garbage on the river bank and the pollution coefficient of each clustering area, and adjusts the water quality parameters and the number of garbage bins on the river bank according to the pollution coefficient of each clustering area and the change rate of the number of river organisms. After adjusting the preset time, the secondary monitoring and analysis module collects the water quality parameters of the river and analyzes the adjustment effect. If the effect is not good, the adjustment method is modified, and the early warning terminal issues an early warning at the same time.

[0020] The monitoring module is used to divide the river into various depth areas and collect water quality parameters of each depth area.

[0021] It should be noted that water quality parameters include oxygen content, pH value and ammonia nitrogen content.

[0022] The analysis module is used to analyze whether the water quality of the river is qualified by using the water quality parameters of each depth area. If it is unqualified, the adjustment module is executed.

[0023] It should be noted that the water quality parameters of rivers vary with their depths, so it is necessary to judge whether the water quality of the river is qualified based on the water quality parameters of each depth area.

[0024] In a specific embodiment, the specific analysis process of analyzing whether the water quality of the river is qualified is as follows: S11, using sensors to collect water quality parameters at each depth.

[0025] It should be noted that the sensors at each depth collect water quality parameters at each depth in a direction perpendicular to the river.

[0026] S12, reading the standard range of water quality parameters of the river in each preset depth area from the database, and comparing the water quality parameters in each preset depth area with the standard range of water quality parameters in each preset depth area: , In the formula, Representative in the The water quality parameters collected within the depth range are Representative in the The water quality standard range of each depth area is Representative in the Water quality indicators in each depth area, Represents the number of each depth zone, =1,2,3..., , represents the total number of depth regions, and They are all positive integers. When the water quality index of a certain depth area is 1, it means that the water quality of this depth area is unqualified. When the water quality index of a certain depth area is 0, it means that the water quality of this depth area is qualified. In this way, we can analyze whether the water quality parameters of each depth area are qualified.

[0027] It should be noted that the standard range of water quality parameters in each depth area is set by experts. For example, in a 5-meter-deep river, the standard range of oxygen content is .

[0028] S13. If the water quality index of each depth area in the river is 0, it means that the water quality of the river is qualified. If the water quality index of one or more depth areas in the river is 1, it means that the water quality of the river is unqualified, and the adjustment module is executed.

[0029] The adjustment module includes an image acquisition unit and an analysis and adjustment unit.

[0030] The image acquisition unit is used to plan a monitoring range with the river as the center, divide the monitoring range into various monitoring areas, arrange a number of acquisition moments at preset time intervals, and use a camera mounted on an unmanned aerial vehicle to acquire a panoramic image of each monitoring area at each acquisition moment to obtain a panoramic image of each monitoring area at each acquisition moment.

[0031] In a specific embodiment, the image acquisition unit has a specific analysis process as follows: taking the center line of the river as the baseline, and then selecting straight lines with a preset spacing between the two sides of the river and the baseline as two range lines, the area between the two range lines is the monitoring range, and within the monitoring range, the monitoring range is divided into several monitoring areas according to the preset area, and the shooting route of the drone is planned according to the divided monitoring areas. According to the preset time interval, each acquisition time for the drone to collect panoramic images of each monitoring area is set, and at each acquisition time, the drone collects panoramic images of each monitoring area on the planned shooting route.

[0032] It should be noted that a line is selected on the surface of the river, which is parallel to the two banks of the river and has the same distance between the two banks of the river. This line is the center line of the river.

[0033] In the above, the shooting route of the drone is planned according to the divided monitoring areas. The specific process is as follows: the overall shooting route adopts an S-shaped route, that is, after shooting the same row of monitoring areas, shooting starts from the last monitoring area of ​​the next row. At the same time, the camera on the drone automatically adjusts the shooting angle according to the preset angle, collects the amount of garbage in each monitoring area, and compares it with the preset regional garbage amount threshold. When shooting each monitoring area, if there is a river in the monitoring area or the amount of garbage is higher than the preset regional garbage amount threshold, then when shooting the monitoring area, the drone height is lowered to the preset minimum height, and the monitoring area is divided into several sub-monitoring areas according to the preset minimum area. An S-shaped route is used to shoot each sub-monitoring area in the monitoring area. If there is no river water in the monitoring area and the amount of garbage is not higher than the preset regional garbage amount threshold, the preset height is maintained for shooting.

[0034] It should be noted that when collecting panoramic images of each monitoring area, when the amount of garbage in the monitoring area is higher than the preset garbage image, the drone needs to lower the shooting altitude to prevent the situation where some garbage is not captured in the panoramic image of the monitoring area. Lowering the drone's shooting altitude in the river area is to facilitate the subsequent collection of the number of river organisms.

[0035] The analysis and adjustment unit is used to obtain the location and image of each garbage from the panoramic image of each monitoring area at each collection time, and simultaneously obtain the biological data in the river, analyze the adjustment method within the monitoring range, and make adjustments according to the corresponding adjustment method.

[0036] In a specific embodiment, the analysis and adjustment unit has the following specific process: S21, collecting the garbage image of each garbage in the panoramic image of each monitoring area and the distance between each garbage and the river bank, comparing the garbage image of each garbage with the garbage images in the database, and reading the garbage type of each garbage.

[0037] It should be noted that after the collected panoramic images of each monitoring area are transmitted to the system, the system automatically analyzes and outputs the distance between each piece of garbage in the image and the river bank and the number of river organisms.

[0038] S22. Calculate the risk factor of each type of garbage according to its type and the distance from the river bank.

[0039] S23, clustering the garbage locations in each monitoring area to obtain each cluster area, extracting the hazard coefficient of each garbage in each cluster area, and calculating the pollution coefficient of each cluster area.

[0040] It should be noted that when analyzing the panoramic images of each monitoring area, the system will cluster the garbage locations according to the distances between each garbage to obtain clustered areas.

[0041] S24. Compare the pollution coefficient of each cluster area with the preset pollution coefficient. If the pollution coefficient of a cluster area is lower than the preset pollution coefficient, it means that the pollution degree of the river from the cluster area is low. If the pollution coefficient of a cluster area is higher than the preset pollution coefficient, it means that the pollution degree of the river from the cluster area is high. In this way, the pollution degree of the river from each cluster area is obtained.

[0042] S25. Collect the changes in the number of organisms in the river at adjacent collection times, and calculate the rate of change of the number of organisms in the river: , In the formula , Respectively represented in The number of organisms in the river at the time of collection and The number of organisms in the river at the time of collection, Representative in the The change rate of the number of river organisms at the time of collection, Represents the number of each collection moment, =1,2,3,...,24, Is a positive integer.

[0043] The rate of change of the river's biological population is compared with the standard range of the rate of change of the river's biological population in the database. If the rate of change of the river's biological population is not within the standard range of the rate of change of the river's biological population, it means that the river is severely polluted. At this time, the water quality parameters of the river are adjusted.

[0044] It should be noted that the standard range of the change rate of river biological population is formulated by experts based on the change rate of historical river biological population. The standard range of the change rate of river biological population is .

[0045] In the above, the hazard coefficient of each garbage is calculated according to the garbage type and the distance from the river bank. The specific process is as follows: S31, setting the weight coefficient of each garbage type. The garbage types include chemical garbage, plastic garbage, organic garbage and other garbage. The weight coefficient of chemical garbage is , the weight coefficient of plastic waste is , the weight coefficient of plastic waste is , the weight coefficient of organic waste is .

[0046] It should be noted that the weight of each type of garbage is set by the staff based on the historical impact of each type of garbage on the river. The garbage type with a greater impact on the river will be assigned a high weight coefficient, and the garbage type with a smaller impact on the river will be assigned a low weight coefficient.

[0047] S32. Calculate the risk factor of each garbage according to the garbage type weight coefficient of each garbage and the distance between each garbage and the river bank: , In the formula , Respectively represent The risk factor of garbage The distance from the garbage to the river bank, Representative The garbage type weight coefficient of each garbage, Represents the number of each garbage. =1,2,3,..., , Represents the total amount of garbage. and are all positive integers, Represents the preset adjustment factor, Represents the preset distance from the garbage to the river bank.

[0048] It should be noted that the adjustment coefficient is set by the staff based on the historical impact of various types of garbage on the river bank on the river, and the value range of the adjustment coefficient is between 0-5.

[0049] In the above, the pollution coefficient of each cluster area is calculated as follows: the total amount of garbage within the monitoring range and the amount of garbage in each cluster are collected, and the analysis formula is used: , get the The pollution coefficient of cluster areas , where Represents the total amount of garbage within the monitoring range. Representative The amount of garbage in a cluster area, Representative In the cluster area The risk factor of garbage. Represents the number of each cluster area, =1,2,3,..., , represents the number of clusters, and are all positive integers, Represents the number of each garbage. =1,2,3,..., , and All are positive integers.

[0050] In the above, the specific process of adjusting the water quality parameters of the river is as follows: the oxygen content, pH value and ammonia nitrogen content in the collected water quality parameters are compared and analyzed with the standard range of oxygen content, pH value standard range and ammonia nitrogen content standard range in the water quality parameters. If the oxygen content in the river is lower than the standard range of oxygen content, it means that the river is insufficient in oxygen, and air is filled into the river. If the oxygen content in the river is higher than the standard range of oxygen content, it means that the river has too much oxygen, and carbon dioxide gas is filled into the river.

[0051] If the pH value of the river is higher than the pH standard range, it means that the pH value of the river is too high and acidic substances should be added to the river. If the pH value of the river is lower than the pH standard range, it means that the pH value of the river is too low and alkaline substances should be added to the water.

[0052] It should be noted that when adding acidic or alkaline substances to rivers, the amount needs to be strictly controlled to prevent the river from becoming over-acidified or alkalinized.

[0053] If the ammonia nitrogen content in the river is higher than the standard range of ammonia nitrogen content, it means that the ammonia nitrogen content in the river is too high, and adsorbents should be added to the river. If the ammonia nitrogen content in the river is lower than the standard range of ammonia nitrogen content, it means that the ammonia nitrogen content in the river is too low, and a preset number of benthic animals should be released into the river.

[0054] It should be noted that the soil at the bottom of the river is rich in ammonia nitrogen, and the activities of benthic animals can release ammonia nitrogen in the soil into the river water.

[0055] The secondary monitoring and analysis module is used to collect water quality parameters of each depth area again after adjusting the preset time length, and analyze the adjustment effect in the monitoring area.

[0056] In a specific embodiment, the water quality parameters of each depth area are collected again, and the adjustment effect within the monitoring range is analyzed. The specific analysis process is as follows: after adjustment according to the adjustment strategy, after the preset adjustment time, the water quality parameters of each depth area after adjustment are monitored and compared with the preset water quality parameter range of each depth area: , In the formula After adjustment, the representative Water quality parameters in each depth zone, Represents the preset The range of water quality parameters for each depth zone, Represents the adjusted water quality index for each depth area, Represents the number of each depth zone, =1,2,3..., , represents the total number of depth regions, and All are positive integers.

[0057] When the water quality index of one or more depth areas in the adjusted river is 1, it means that the adjustment effect is not good. The system will issue an early warning and re-formulate a solution. When the secondary water quality parameters of each depth area in the adjusted river are all 0, it means that the adjustment effect is good.

[0058] In the above, the solution is described and re-formulated, and the specific process is as follows: the oxygen content, pH value and ammonia nitrogen content in the adjusted water quality parameters are collected, and compared with the preset oxygen content range, pH value range and ammonia nitrogen content range in the water quality parameters.

[0059] It should be noted that the preset oxygen content range, pH value range and ammonia nitrogen content range are not equal to the standard oxygen content range, pH value standard range and ammonia nitrogen content standard range. The preset oxygen content range, pH value range and ammonia nitrogen content range are ranges set by the staff based on the water quality parameters before adjustment and the preset time interval, and the standard oxygen content range, pH value standard range and ammonia nitrogen content standard range are read from the database.

[0060] If the oxygen content of the river after adjustment is not within the preset oxygen content range, it means that the adjustment effect of the oxygen content is not good. At this time, the historical adjustment method of the oxygen content and the corresponding adjustment effect are read from the database, the historical adjustment effects of the oxygen content are compared, and the adjustment method with the best adjustment effect is selected as the secondary adjustment plan of the oxygen content; If the pH value of the river after adjustment is not within the preset pH value range, it means that the adjustment effect of the pH value is not good. At this time, the historical adjustment method of the pH value and the corresponding adjustment effect are read from the database, the historical adjustment effects of the pH value are compared, and the adjustment method with the best adjustment effect is selected as the secondary adjustment plan of the pH value; If the ammonia nitrogen content of the river after adjustment is not within the preset ammonia nitrogen content range, it means that the adjustment effect of the ammonia nitrogen content is not good. At this time, the historical adjustment method of the ammonia nitrogen content and the corresponding adjustment effect are read from the database, and the historical adjustment effects of the ammonia nitrogen content are compared. The adjustment method with the best adjustment effect is selected as the secondary adjustment plan for the ammonia nitrogen content.

[0061] It should be noted that the historical adjustment effect is reflected through the rate of change of river biological population after adjustment. The median of the standard range of river biological population change rate is obtained, and the difference between the historical adjusted rate of change of river biological population and the median of the standard range of river biological population change rate is calculated. The smaller the difference, the better the adjustment effect.

[0062] The early warning terminal is used to issue an early warning when the adjustment effect in the monitoring area is not good.

[0063] The embodiment of the present invention uses sensors to monitor river water quality parameters in real time and determines whether the river water quality is qualified. If it is unqualified, a panoramic image of each monitoring area is collected to obtain the location of each garbage on the river bank and the number of river organisms, cluster the garbage locations, calculate the pollution coefficient of each clustering area, and formulate an adjustment strategy to detect the effect of the adjustment. If the effect is not good, the strategy is modified. This solves the problem of relatively single data analysis when formulating an adjustment strategy, realizes multi-dimensional data analysis, ensures the real-time and accuracy of data monitoring, and also ensures the reliability of the adjustment strategy and the timeliness of river ecological protection.

[0064] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. An intelligent hydrological monitoring and analysis system, characterized in that: include: A monitoring module, the monitoring module is used to divide the river into various depth areas and collect water quality parameters of each depth area; An analysis module, wherein the analysis module is used to analyze whether the water quality of the river is qualified by using the water quality parameters of each depth area, and if it is unqualified, the adjustment module is executed; The adjustment module includes an image acquisition unit and an analysis and adjustment unit; The image acquisition unit is used to plan the monitoring range with the river as the center, divide the monitoring range into various monitoring areas, arrange a number of acquisition moments according to preset time intervals, and use the camera carried by the aircraft to acquire a panoramic image of each monitoring area at each acquisition moment to obtain a panoramic image of each monitoring area at each acquisition moment; The analysis and adjustment unit is used to obtain the location and image of each garbage from the panoramic image of each monitoring area at each acquisition time, and simultaneously obtain the biological data in the river, analyze the adjustment method within the monitoring range, and make adjustments according to the corresponding adjustment method; A secondary monitoring and analysis module, which is used to collect water quality parameters of each depth area again after adjusting the preset time length, and analyze the adjustment effect in the monitoring area; The early warning terminal is used to issue an early warning when the adjustment effect in the monitoring area is not good.

2. The intelligent hydrological monitoring and analysis system according to claim 1, characterized in that: The specific analysis process of analyzing whether the water quality of the river is qualified is as follows: S11, using sensors to collect water quality parameters at each depth; S12, reading the standard range of water quality parameters of the river in each preset depth area from the database, and comparing the water quality parameters in each preset depth area with the standard range of water quality parameters in each preset depth area: ； In the formula, Representative in the The water quality parameters collected within the depth range are Representative in the Water quality standard range for each depth area, Representative in the Water quality indicators in each depth area, Represents the number of each depth zone, =1,2,3..., , represents the total number of depth regions, and All are positive integers; When the water quality index of a certain depth area is 1, it means that the water quality of the depth area is unqualified. When the water quality index of a certain depth area is 0, it means that the water quality of the depth area is qualified. In this way, the water quality parameters of each depth area are analyzed to see whether they are qualified. S13. If the water quality index of each depth area in the river is 0, it means that the water quality of the river is qualified. If the water quality index of one or more depth areas in the river is 1, it means that the water quality of the river is unqualified, and the adjustment module is executed.

3. The intelligent hydrological monitoring and analysis system according to claim 1 is characterized in that: The image acquisition unit has the following specific analysis process: Taking the center line of the river as the baseline, straight lines with a preset spacing between the two sides of the river and the baseline are selected as two range lines. The area between the two range lines is the monitoring range. Within the monitoring range, the monitoring range is divided into several monitoring areas according to the preset area. The shooting route of the aircraft is planned according to the divided monitoring areas. According to the preset time interval, the aircraft is set to collect panoramic images of each monitoring area. At each collection time, the aircraft collects panoramic images of each monitoring area on the planned shooting route.

4. The intelligent hydrological monitoring and analysis system according to claim 3 is characterized in that: The specific process of planning the shooting route of the aircraft according to the divided monitoring area is as follows: The overall shooting route adopts an S-shaped route, that is, after shooting the same row of monitoring areas, it starts shooting from the last monitoring area of ​​the next row. At the same time, the camera on the aircraft automatically adjusts the shooting angle according to the preset angle: The amount of garbage in each monitoring area is collected and compared with the preset regional garbage amount threshold. When photographing each monitoring area, if there is a river in the monitoring area or the amount of garbage is higher than the preset regional garbage amount threshold, the aircraft altitude will be lowered to the preset minimum altitude when photographing the monitoring area. At the same time, the monitoring area is divided into several sub-monitoring areas according to the preset minimum area. Each sub-monitoring area is photographed using an S-shaped route in the monitoring area. If there is no river in the monitoring area and the amount of garbage is not higher than the preset regional garbage amount threshold, the preset altitude is maintained for shooting.

5. The intelligent hydrological monitoring and analysis system according to claim 1, characterized in that: The specific process of the analysis and adjustment unit is as follows: S21, collecting garbage images of each garbage and the distance between each garbage and the river bank in the panoramic image of each monitoring area, comparing the garbage images of each garbage with the garbage images in the database, and reading the garbage type of each garbage; S22, calculating the hazard factor of each garbage according to its type and the distance from the river bank; S23, clustering the garbage locations in each monitoring area to obtain each cluster area, extracting the hazard coefficient of each garbage in each cluster area, and calculating the pollution coefficient of each cluster area; S24, comparing the pollution coefficient of each cluster area with the preset pollution coefficient. If the pollution coefficient of a cluster area is lower than the preset pollution coefficient, it means that the pollution degree of the river by the cluster area is low. If the pollution coefficient of a cluster area is higher than the preset pollution coefficient, it means that the pollution degree of the river by the cluster area is high, thereby obtaining the pollution degree of each cluster area to the river; S25. Collect the changes in the number of organisms in the river at adjacent collection times, and calculate the rate of change of the number of organisms in the river: ； In the formula , Respectively represented in The number of organisms in the river at the time of collection and The number of organisms in the river at the time of collection, Representative in the The change rate of the number of river organisms at the time of collection, represents the number of each collection moment, =1,2,3,...,24, is a positive integer; The rate of change of the river's biological population is compared with the standard range of the rate of change of the river's biological population in the database. If the rate of change of the river's biological population is not within the standard range of the rate of change of the river's biological population, it means that the river is severely polluted. At this time, the water quality parameters of the river are adjusted.

6. The intelligent hydrological monitoring and analysis system according to claim 5, characterized in that: The hazard factor of each garbage is calculated according to the garbage type and the distance from the river bank. The specific process is as follows: S31. Set the weight coefficient of each type of garbage, including chemical garbage, plastic garbage, organic garbage and other garbage: The weight coefficient of chemical waste is , the weight coefficient of plastic waste is , the weight coefficient of plastic waste is , the weight coefficient of organic waste is ; S32. Calculate the risk factor of each garbage according to the garbage type weight coefficient of each garbage and the distance between each garbage and the river bank: ； Where: , Respectively represent The risk factor of garbage The distance from the garbage to the river bank, Representative The garbage type weight coefficient of each garbage, Represents the number of each garbage. =1,2,3,..., , Represents the total amount of garbage. and are all positive integers, Represents the preset adjustment factor, Represents the preset distance from the garbage to the river bank.

7. The intelligent hydrological monitoring and analysis system according to claim 5, characterized in that: The specific process of calculating the pollution coefficient of each cluster area is as follows: Collect the total amount of garbage within the monitoring range and the amount of garbage in each cluster, according to the analysis formula: , get the The pollution coefficient of cluster areas ; Where: Represents the total amount of garbage within the monitoring range. Representative The amount of garbage in a cluster area, Representative In the cluster area The risk factor of garbage. Represents the number of each cluster area, =1,2,3,..., , represents the number of clusters, and are all positive integers, Represents the number of each garbage. =1,2,3,..., , and All are positive integers.

8. The intelligent hydrological monitoring and analysis system according to claim 5, characterized in that: The specific process of adjusting the water quality parameters of the river is as follows: Compare and analyze the oxygen content, pH value and ammonia nitrogen content in the collected water quality parameters with the standard range of oxygen content, pH value and ammonia nitrogen content in the water quality parameters: If the oxygen content in the river is lower than the standard range of oxygen content, it means that the river is insufficient in oxygen, and air is added to the river. If the oxygen content in the river is higher than the standard range of oxygen content, it means that the river is excessive in oxygen, and carbon dioxide gas is added to the river. If the pH value of the river is higher than the pH standard range, it means that the pH value of the river is too high, and acidic substances should be added to the river. If the pH value of the river is lower than the pH standard range, it means that the pH value of the river is too low, and alkaline substances should be added to the water. If the ammonia nitrogen content in the river is higher than the standard range of ammonia nitrogen content, it means that the ammonia nitrogen content in the river is too high, and adsorbents should be added to the river. If the ammonia nitrogen content in the river is lower than the standard range of ammonia nitrogen content, it means that the ammonia nitrogen content in the river is too low, and a preset number of benthic animals should be released into the river.

9. The intelligent hydrological monitoring and analysis system according to claim 1, characterized in that: The water quality parameters of each depth area are collected again to analyze the adjustment effect within the monitoring range. The specific analysis process is as follows: After adjustment according to the adjustment strategy, after the preset adjustment time, monitor the water quality parameters of each depth area after adjustment and compare them with the preset water quality parameter range of each depth area: ； Where: After adjustment, the representative Water quality parameters in each depth zone, Represents the preset The range of water quality parameters for each depth zone, Represents the adjusted water quality index for each depth area, Represents the number of each depth zone, =1,2,3..., , represents the total number of depth regions, and All are positive integers; When the water quality index of one or more depth areas in the adjusted river is 1, it means that the adjustment effect is not good. The system will issue an early warning and re-formulate a solution. When the water quality parameters of each depth area in the adjusted river are 0, it means that the adjustment effect is good.

10. The intelligent hydrological monitoring and analysis system according to claim 9, characterized in that: The specific process of reformulating the solution is as follows: Collect the oxygen content, pH value and ammonia nitrogen content in the adjusted water quality parameters, and compare them with the preset oxygen content range, pH value range and ammonia nitrogen content range in the water quality parameters: If the oxygen content of the river after adjustment is not within the preset oxygen content range, it means that the adjustment effect of the oxygen content is not good. At this time, the historical adjustment method of the oxygen content and the corresponding adjustment effect are read from the database, the historical adjustment effects of the oxygen content are compared, and the adjustment method with the best adjustment effect is selected as the secondary adjustment plan of the oxygen content; If the pH value of the river after adjustment is not within the preset pH value range, it means that the adjustment effect of the pH value is not good. At this time, the historical adjustment method of the pH value and the corresponding adjustment effect are read from the database, the historical adjustment effects of the pH value are compared, and the adjustment method with the best adjustment effect is selected as the secondary adjustment plan of the pH value; If the ammonia nitrogen content of the river after adjustment is not within the preset ammonia nitrogen content range, it means that the adjustment effect of the ammonia nitrogen content is not good. At this time, the historical adjustment method of the ammonia nitrogen content and the corresponding adjustment effect are read from the database, and the historical adjustment effects of the ammonia nitrogen content are compared. The adjustment method with the best adjustment effect is selected as the secondary adjustment plan for the ammonia nitrogen content.

Images