An aquatic ecological environment remote monitoring device based on artificial intelligence

Abstract

The application discloses a kind of water ecological environment remote monitoring equipment based on artificial intelligence, it is related to environmental monitoring technical field.The water ecological environment remote monitoring equipment based on artificial intelligence, including environmental data acquisition unit, data processing unit, enterprise monitoring unit, data analysis unit and result output unit.The present application is analyzed whether enterprise exists by data analysis unit according to the detection data of environmental data acquisition unit and enterprise monitoring unit Whether there is illegal discharge, the analysis result is output to enterprise monitoring unit and remote monitoring system by result output unit, realize unmanned supervision and save manpower consumption, not only can be aimed at the wastewater pollution source of enterprise, simultaneously can be used for river lake water ecological environment quality, service local government province control country control city control can water station data appears abnormal, through Internet of Things big data system reminds abnormal warning and traceability monitoring, for comprehensive administrative unit, can be combined pollution source and big environment and be managed in coordination.

Description

Technical Field

[0001] This invention relates to the field of environmental monitoring technology, specifically to a remote monitoring device for aquatic ecological environment based on artificial intelligence. Background Technology

[0002] River aquatic ecological environment quality refers to the overall properties and changes of the components of the ecosystem at different scales within a specific time and space. my country's river aquatic ecological environment is complex and fragile. With increased utilization and pollution of river water resources, most rivers have been affected by pollution to varying degrees, leading to problems such as reduced aquatic biodiversity and habitat degradation. Therefore, monitoring and evaluating the aquatic ecological quality of my country's rivers has become an important aspect of my country's environmental protection efforts.

[0003] In general, pollution source investigation is carried out through manual monitoring, which is a traditional and labor-intensive method. Later, drone investigation emerged, which uses remote sensing technology to automatically monitor and output data. However, this method is still relatively simple, and the detection results may contain errors. Summary of the Invention

[0004] Technical problems to be solved

[0005] To address the shortcomings of existing technologies, this invention provides an artificial intelligence-based remote monitoring device for the aquatic ecological environment. This device solves the problem that existing pollution source investigation relies on manual monitoring, which is a traditional and labor-intensive method with limited detection capabilities and potential for errors in the results.

[0006] Technical solution

[0007] To achieve the above objectives, the present invention provides the following technical solution: a remote monitoring device for aquatic ecological environment based on artificial intelligence, comprising an environmental data acquisition unit, a data processing unit, an enterprise monitoring unit, a data analysis unit, and a result output unit, wherein:

[0008] The environmental data acquisition unit includes a drone remote sensing acquisition module and hydrological environment acquisition equipment, which are used to automatically collect aquatic ecological environment data in the water area to be monitored.

[0009] The data processing unit is used to synchronize the detection data from the environmental data acquisition unit and the enterprise monitoring unit.

[0010] The enterprise monitoring unit is used to monitor the water and electricity consumption of sewage-discharging enterprises distributed within the water area, and can also receive warning information;

[0011] The data analysis unit is used to analyze whether the company has engaged in illegal or unauthorized discharge activities based on the detection data from the environmental data acquisition unit and the enterprise monitoring unit.

[0012] The results output unit outputs the analysis results from the data analysis unit to the enterprise monitoring unit and the remote monitoring system. If the enterprise is found to have engaged in unauthorized discharge or leakage, a warning message will be sent to the enterprise.

[0013] Preferably, the UAV remote sensing acquisition module uses a multi-rotor UAV equipped with a hyperspectral imager to conduct aerial photography of the entire watershed's aquatic ecological environment and send the captured hydrological environment images to the data processing unit.

[0014] Preferably, the hydrological environment acquisition device includes a device body and floating plates installed on both outer surfaces of the device body. A drive propeller is installed on the bottom surface of the device body, a suction pump is installed on one side surface of the device body, a sampling component is installed on the outer surface of the input end of the suction pump, an outlet pipe is installed on the outer surface of the output end of the suction pump, a detection component is installed on one side surface of the device body adjacent to the suction pump, and a flushing component is installed on one side surface of the device body.

[0015] Preferably, the sampling assembly includes a rotary motor and a take-up shaft. The rotary motor is mounted on one side surface of the equipment body adjacent to the suction pump. The take-up shaft is mounted on the outer surface of the output end of the rotary motor. A sampling pipe is mounted on the outer surface of the input end of the suction pump. The sampling pipe is movably wound around the outer surface of the take-up shaft. A sampling probe is mounted on the end surface of the sampling pipe.

[0016] Preferably, the detection assembly includes a detection cylinder and a drive motor. The detection cylinder is mounted on one side surface of the device body. The end of the outlet pipe extends above the detection cylinder. A discharge pipe is installed on the bottom surface of the detection cylinder. A control valve is installed on the end surface of the discharge pipe. The drive motor is mounted on one side surface of the device body adjacent to the detection cylinder. A lifting support shaft is installed on the outer surface of the output end of the drive motor. A fixed bracket is installed on the top surface of the lifting support shaft. A sensor probe is installed on the bottom surface of the fixed bracket.

[0017] Preferably, the outer surface of the sensor probe is equipped with a dissolved oxygen sensor, a turbidity sensor, a pH sensor, a temperature sensor, an ammonia nitrogen sensor, and a conductivity sensor.

[0018] Preferably, the rinsing assembly includes a rinsing water storage tank and a rinsing cylinder, which are respectively installed on the top surface of the equipment body. A siphon pipe is installed on the top surface of the rinsing water storage tank, and the end of the siphon pipe extends above the rinsing cylinder.

[0019] Preferably, the data processing unit includes a wireless communication module, an IoT data integration module, and a data storage module; wherein:

[0020] The wireless communication module is installed on the sensor probe and is electrically connected to the sensor probe to transmit the detection data of the sensor probe to the Internet of Things data integration module.

[0021] The IoT data integration module receives detection data from the enterprise's monitoring unit and sensor probes, and processes the data according to the enterprise's location.

[0022] The data storage module organizes and stores the various test data and updates the database periodically.

[0023] Preferably, the enterprise monitoring unit includes an enterprise electricity consumption monitoring module, an enterprise water consumption monitoring module, and a remote reminder module; wherein:

[0024] The enterprise electricity consumption monitoring module is equipped with electricity monitoring devices in enterprises within the area of ​​the water ecological environment to be monitored. Electricity monitoring detectors can be used to monitor the enterprise's electricity consumption in real time.

[0025] The enterprise water consumption monitoring module is equipped with water consumption monitoring devices in enterprises within the water ecological environment distribution area to be monitored. Electronic flow meters can be used to monitor the enterprise's water consumption in real time.

[0026] The remote alert module receives warning messages and sends reminders to enterprises to prompt them to rectify the issues themselves. If the warnings are ineffective, it notifies environmental protection personnel to conduct an on-site investigation.

[0027] Preferably, the data analysis unit includes a data receiving module, a standard database, and a data comparison module; wherein:

[0028] The data receiving module is used to receive the detection data processed by the IoT data integration module;

[0029] A standard database is used to formulate standard emission pollution values ​​based on enterprises' electricity and water consumption.

[0030] The data comparison module compares the data received by the data receiving module with the standard database. If the detected data matches the emission pollution value data, it indicates that the company's emissions are reasonable. If the detected data exceeds the emission pollution value data, it indicates that the company has engaged in illegal or unauthorized emissions.

[0031] Beneficial effects

[0032] The present invention has the following beneficial effects:

[0033] (1) The artificial intelligence-based remote monitoring equipment for water ecological environment has an enterprise monitoring unit for monitoring the water consumption and electricity consumption of sewage discharge enterprises distributed in the water area, and can receive warning information. The data processing unit synchronizes the detection data of the environmental data acquisition unit and the enterprise monitoring unit. The data analysis unit analyzes whether the enterprise has engaged in illegal discharge based on the detection data of the environmental data acquisition unit and the enterprise monitoring unit. The result output unit outputs the analysis results of the data analysis unit to the enterprise monitoring unit and the remote monitoring system. If the enterprise has engaged in illegal discharge, a warning information is issued to the enterprise. The equipment has a high degree of intelligence, realizes unmanned supervision, and saves manpower consumption.

[0034] (2) This artificial intelligence-based remote monitoring equipment for water ecological environment can not only target the wastewater pollution sources of enterprises, but also be used for the water ecological environment quality of rivers and lakes. After the data of provincial, national, and municipal water stations under the control of local governments are abnormal, the equipment can remind them of abnormal warnings and conduct source tracing monitoring through the Internet of Things big data system.

[0035] (3) This artificial intelligence-based remote monitoring equipment for water ecological environment can be used by comprehensive administrative units to carry out collaborative management of pollution sources and the overall environment.

[0036] Of course, any product implementing this invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description

[0037] Figure 1 This is a system flowchart of the present invention;

[0038] Figure 2 This is a schematic diagram of the external structure of the hydrological environment data acquisition device of the present invention;

[0039] Figure 3 This is a schematic diagram of the external structure of the hydrological environment acquisition device from another perspective of the present invention;

[0040] Figure 4 This is a schematic diagram of the external structure of the hydrological environment acquisition device from another perspective of the present invention;

[0041] Figure 5 This is a schematic diagram of the external structure of the hydrological environment acquisition device from another perspective of the present invention.

[0042] In the diagram, 1. Equipment body; 2. Floating plate; 3. Drive propeller; 4. Suction pump; 5. Outlet pipe; 6. Rotary motor; 7. Rewinding shaft; 8. Sampling pipe; 9. Sampling probe; 10. Detection cylinder; 11. Drive motor; 12. Lifting support shaft; 13. Fixed bracket; 14. Sensor probe; 15. Flushing water storage tank; 16. Flushing cylinder; 17. Siphon pipe; 18. Discharge pipe; 19. Control valve. Detailed Implementation

[0043] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0044] In the description of this invention, it should be understood that the terms "opening", "upper", "lower", "thickness", "top", "middle", "length", "inner", "around", etc., which indicate orientation or positional relationship, are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the components or elements referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as limiting this invention.

[0045] Please see Figures 1-5 This invention provides a technical solution: a remote monitoring device for aquatic ecological environment based on artificial intelligence, comprising an environmental data acquisition unit, a data processing unit, an enterprise monitoring unit, a data analysis unit, and a result output unit, wherein:

[0046] The environmental data acquisition unit includes a drone remote sensing acquisition module and hydrological environment acquisition equipment, which are used to automatically collect aquatic ecological environment data in the water area to be monitored.

[0047] The data processing unit is used to synchronize the detection data from the environmental data acquisition unit and the enterprise monitoring unit.

[0048] The enterprise monitoring unit is used to monitor the water and electricity consumption of sewage-discharging enterprises distributed within the water area, and can also receive warning information;

[0049] The data analysis unit is used to analyze whether the company has engaged in illegal or unauthorized discharge activities based on the detection data from the environmental data acquisition unit and the enterprise monitoring unit.

[0050] The results output unit outputs the analysis results from the data analysis unit to the enterprise monitoring unit and the remote monitoring system. If the enterprise is found to have engaged in unauthorized discharge or leakage, a warning message will be sent to the enterprise.

[0051] Specifically, the UAV remote sensing acquisition module uses a multi-rotor UAV equipped with a hyperspectral imager to conduct aerial photography of the entire watershed's aquatic ecological environment and sends the captured hydrological images to the data processing unit.

[0052] Furthermore, the hydrological environment acquisition equipment includes a device body 1 and floating plates 2 installed on both outer surfaces of the device body 1. A drive propeller 3 is installed on the bottom surface of the device body 1. A suction pump 4 is installed on one side surface of the device body 1. A sampling component is installed on the outer surface of the input end of the suction pump 4. An outlet pipe 5 is installed on the outer surface of the output end of the suction pump 4. A detection component is installed on one side surface of the device body 1 adjacent to the suction pump 4. A flushing component is installed on one side surface of the device body 1.

[0053] Furthermore, the sampling assembly includes a rotary motor 6 and a take-up shaft 7. The rotary motor 6 is mounted on one side surface of the equipment body 1 adjacent to the suction pump 4. The take-up shaft 7 is mounted on the outer surface of the output end of the rotary motor 6. A sampling pipe 8 is mounted on the outer surface of the input end of the suction pump 4. The sampling pipe 8 is movably wound around the outer surface of the take-up shaft 7. A sampling probe 9 is mounted on the end surface of the sampling pipe 8.

[0054] Furthermore, the detection assembly includes a detection cylinder 10 and a drive motor 11. The detection cylinder 10 is installed on one side surface of the equipment body 1. The end of the outlet pipe 5 extends to the top of the detection cylinder 10. A discharge pipe 18 is installed on the bottom surface of the detection cylinder 10. A control valve 19 is installed on the end surface of the discharge pipe 18. The drive motor 11 is installed on one side surface of the equipment body 1 adjacent to the detection cylinder 10. A lifting support shaft 12 is installed on the outer surface of the output end of the drive motor 11. A fixed bracket 13 is installed on the top surface of the lifting support shaft 12. A sensor probe 14 is installed on the bottom surface of the fixed bracket 13.

[0055] Furthermore, a dissolved oxygen sensor, a turbidity sensor, a pH sensor, a temperature sensor, an ammonia nitrogen sensor, and a conductivity sensor are mounted on the outer surface of the sensor probe 14.

[0056] Furthermore, the rinsing assembly includes a rinsing water storage tank 15 and a rinsing cylinder 16. The rinsing water storage tank 15 and the rinsing cylinder 16 are respectively installed on the top surface of the equipment body 1. A siphon pipe 17 is installed on the top surface of the rinsing water storage tank 15, and the end of the siphon pipe 17 extends above the rinsing cylinder 16.

[0057] Furthermore, the data processing unit includes a wireless communication module, an IoT data integration module, and a data storage module; wherein:

[0058] A wireless communication module is installed on the sensor probe 14 and electrically connected to the sensor probe 14 to transmit the detection data of the sensor probe 14 to the Internet of Things data integration module.

[0059] The IoT data integration module receives detection data from the enterprise monitoring unit and the sensor probe 14, and processes the data according to the enterprise's location.

[0060] The data storage module organizes and stores the various test data and updates the database periodically.

[0061] Furthermore, the enterprise monitoring unit includes an enterprise electricity consumption monitoring module, an enterprise water consumption monitoring module, and a remote alert module; among which:

[0062] The enterprise electricity consumption monitoring module is equipped with electricity monitoring devices in enterprises within the area of ​​the water ecological environment to be monitored. Electricity monitoring detectors can be used to monitor the enterprise's electricity consumption in real time.

[0063] The enterprise water consumption monitoring module is equipped with water consumption monitoring devices in enterprises within the water ecological environment distribution area to be monitored. Electronic flow meters can be used to monitor the enterprise's water consumption in real time.

[0064] The remote alert module receives warning messages and sends reminders to enterprises to prompt them to rectify the issues themselves. If the warnings are ineffective, it notifies environmental protection personnel to conduct an on-site investigation.

[0065] Furthermore, the data analysis unit includes a data receiving module, a standard database, and a data comparison module; wherein:

[0066] The data receiving module is used to receive the detection data processed by the IoT data integration module;

[0067] A standard database is used to formulate standard emission pollution values ​​based on enterprises' electricity and water consumption.

[0068] The data comparison module compares the data received by the data receiving module with a standard database. If the detected data matches the emission pollution values, it indicates that the company's emissions are reasonable. If the detected data exceeds the emission pollution values, it indicates that the company is illegally discharging or leaking emissions.

[0069] When in use (working), the hydrological environment collection equipment is placed at the enterprise's discharge outlet in the area of ​​the aquatic ecological environment to be detected. The device body 1 is moved in the water area by the drive propeller 3. The rotation motor 6 is controlled by the remote control system to drive the winding shaft 7 to rotate, so that the sampling probe 9 is rotated above the water area. As the winding shaft 7 continues to rotate, the sampling pipe 8 is released, so that the sampling probe 9 extends below the water surface. The hydrological sample is then drawn up by the suction pump 4.

[0070] The hydrological sample is exported to the detection cylinder 10 through the export pipe 5. Then, the lifting support shaft 12 is driven down by the drive motor 11, so that the sensor probe 14 is inserted into the detection cylinder 10 and comes into contact with the hydrological sample. The hydrological sample detection data is obtained by the dissolved oxygen sensor, turbidity sensor, pH sensor, temperature sensor, ammonia nitrogen sensor and conductivity sensor. The detection data is then transmitted to the data processing unit through the wireless communication module.

[0071] The enterprise monitoring unit is used to monitor the water and electricity consumption of sewage-discharging enterprises distributed within the water area, and can receive warning information. The data processing unit synchronizes the detection data of the environmental data acquisition unit and the enterprise monitoring unit. The data analysis unit analyzes whether enterprises have engaged in illegal discharge based on the detection data of the environmental data acquisition unit and the enterprise monitoring unit. The result output unit outputs the analysis results of the data analysis unit to the enterprise monitoring unit and the remote monitoring system. If enterprises are found to have engaged in illegal discharge, warning information is issued to them. This system can not only target the wastewater pollution sources of enterprises, but also the water ecological environment quality of rivers and lakes. It serves local governments. When abnormal data is found in provincial, national, and municipal water monitoring stations, it can provide abnormal warnings and source tracing monitoring through the Internet of Things big data system. For comprehensive administrative units, it can combine pollution sources and the overall environment for collaborative management.

[0072] After one sampling is completed, the control valve 19 is opened to export the hydrological sample. The motor 6 is rotated in the opposite direction to reset the sampling pipe 8, so that the sampling probe 9 is inserted into the flushing cylinder 16. Flushing water is drawn from the flushing water storage tank 15 through the siphon pipe 17 and pumped into the detection cylinder 10 by the suction pump 4. The sampling probe 9, sampling pipe 8, export pipe 5 and detection cylinder 10 are flushed in sequence. After flushing, the sample is discharged through the discharge pipe 18 to facilitate the next sampling.

[0073] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0074] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A remote monitoring device for aquatic ecological environment based on artificial intelligence, comprising an environmental data acquisition unit, a data processing unit, an enterprise monitoring unit, a data analysis unit, and a result output unit, characterized in that: in: The environmental data acquisition unit includes a drone remote sensing acquisition module and hydrological environment acquisition equipment, which are used to automatically collect aquatic ecological environment data in the water area to be monitored. The data processing unit is used to synchronize the detection data from the environmental data acquisition unit and the enterprise monitoring unit. The enterprise monitoring unit is used to monitor the water and electricity consumption of sewage-discharging enterprises distributed within the water area, and can also receive warning information; The data analysis unit is used to analyze whether the company has engaged in illegal or unauthorized discharge activities based on the detection data from the environmental data acquisition unit and the enterprise monitoring unit. The results output unit outputs the analysis results of the data analysis unit to the enterprise monitoring unit and the remote monitoring system. If the enterprise is found to have engaged in illegal discharge or leakage, a warning message will be sent to the enterprise. The hydrological environment acquisition device includes a device body (1) and floating plates (2) installed on the outer two sides of the device body (1). A drive thruster (3) is installed on the bottom surface of the device body (1). A suction pump (4) is installed on one side surface of the device body (1). A sampling component is installed on the outer surface of the input end of the suction pump (4). An outlet pipe (5) is installed on the outer surface of the output end of the suction pump (4). A detection component is installed on one side surface of the device body (1) adjacent to the suction pump (4). A flushing component is installed on one side surface of the device body (1). The sampling assembly includes a rotary motor (6) and a take-up shaft (7). The rotary motor (6) is mounted on one side surface of the equipment body (1) adjacent to the suction pump (4). The take-up shaft (7) is mounted on the outer surface of the output end of the rotary motor (6). A sampling pipe (8) is mounted on the outer surface of the input end of the suction pump (4). The sampling pipe (8) is movably wound around the outer surface of the take-up shaft (7). A sampling probe (9) is mounted on the end surface of the sampling pipe (8). The detection assembly includes a detection cylinder (10) and a drive motor (11). The detection cylinder (10) is installed on one side surface of the equipment body (1). The end of the outlet pipe (5) extends above the detection cylinder (10). A discharge pipe (18) is installed on the bottom surface of the detection cylinder (10). A control valve (19) is installed on the end surface of the discharge pipe (18). The drive motor (11) is installed on one side surface of the equipment body (1) adjacent to the detection cylinder (10). A lifting support shaft (12) is installed on the outer surface of the output end of the drive motor (11). A fixed bracket (13) is installed on the top surface of the lifting support shaft (12). A sensor probe (14) is installed on the bottom surface of the fixed bracket (13). The flushing assembly includes a flushing water storage tank (15) and a flushing cylinder (16). The flushing water storage tank (15) and the flushing cylinder (16) are respectively installed on the top surface of the equipment body (1). A siphon pipe (17) is installed on the top surface of the flushing water storage tank (15), and the end of the siphon pipe (17) extends above the flushing cylinder (16).

2. The remote monitoring device for aquatic ecological environment based on artificial intelligence according to claim 1, characterized in that: The UAV remote sensing acquisition module uses a multi-rotor UAV equipped with a hyperspectral imager to conduct aerial photography of the entire watershed's aquatic ecological environment and send the captured hydrological images to the data processing unit.

3. The remote monitoring device for aquatic ecological environment based on artificial intelligence according to claim 1, characterized in that: The outer surface of the sensor probe (14) is equipped with a dissolved oxygen sensor, a turbidity sensor, a pH sensor, a temperature sensor, an ammonia nitrogen sensor, and a conductivity sensor.

4. The remote monitoring device for aquatic ecological environment based on artificial intelligence according to claim 1, characterized in that: The data processing unit includes a wireless communication module, an IoT data integration module, and a data storage module; wherein: The wireless communication module is installed on the sensor probe (14) and electrically connected to the sensor probe (14) to transmit the detection data of the sensor probe (14) to the Internet of Things data integration module. The IoT data integration module receives detection data from the enterprise monitoring unit and detection data from the sensor probe (14), and organizes the data according to the region where the enterprise is located. The data storage module organizes and stores the various test data and updates the database periodically.

5. The remote monitoring device for aquatic ecological environment based on artificial intelligence according to claim 1, characterized in that: The enterprise monitoring unit includes an enterprise electricity consumption monitoring module, an enterprise water consumption monitoring module, and a remote reminder module; wherein: The enterprise electricity consumption monitoring module is equipped with electricity monitoring devices in enterprises within the area of ​​the water ecological environment to be monitored. Electricity monitoring detectors can be used to monitor the enterprise's electricity consumption in real time. The enterprise water consumption monitoring module is equipped with water consumption monitoring devices in enterprises within the water ecological environment distribution area to be monitored. Electronic flow meters can be used to monitor the enterprise's water consumption in real time. The remote alert module receives warning messages and sends reminders to enterprises to prompt them to rectify the issues themselves. If the warnings are ineffective, it notifies environmental protection personnel to conduct an on-site investigation.

6. The remote monitoring device for aquatic ecological environment based on artificial intelligence according to claim 1, characterized in that: The data analysis unit includes a data receiving module, a standard database, and a data comparison module; wherein: The data receiving module is used to receive the detection data processed by the IoT data integration module; A standard database is used to formulate standard emission pollution values ​​based on enterprises' electricity and water consumption. The data comparison module compares the data received by the data receiving module with the standard database. If the detected data matches the emission pollution value data, it indicates that the company's emissions are reasonable. If the detected data exceeds the emission pollution value data, it indicates that the company has engaged in illegal or unauthorized emissions.

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