CN115565088A - Water ecological environment remote monitoring equipment based on artificial intelligence - Google Patents
Water ecological environment remote monitoring equipment based on artificial intelligence Download PDFInfo
- Publication number
- CN115565088A CN115565088A CN202211173906.4A CN202211173906A CN115565088A CN 115565088 A CN115565088 A CN 115565088A CN 202211173906 A CN202211173906 A CN 202211173906A CN 115565088 A CN115565088 A CN 115565088A
- Authority
- CN
- China
- Prior art keywords
- data
- enterprise
- module
- monitoring
- unit
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 87
- 238000012544 monitoring process Methods 0.000 title claims abstract description 77
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 21
- 238000001514 detection method Methods 0.000 claims abstract description 52
- 238000012545 processing Methods 0.000 claims abstract description 20
- 238000007405 data analysis Methods 0.000 claims abstract description 19
- 230000007613 environmental effect Effects 0.000 claims abstract description 19
- 238000012806 monitoring device Methods 0.000 claims abstract description 16
- 238000004458 analytical method Methods 0.000 claims abstract description 6
- 239000000523 sample Substances 0.000 claims description 36
- 238000005070 sampling Methods 0.000 claims description 27
- 230000010354 integration Effects 0.000 claims description 12
- 238000011010 flushing procedure Methods 0.000 claims description 10
- 238000004891 communication Methods 0.000 claims description 7
- 238000013500 data storage Methods 0.000 claims description 6
- 238000005096 rolling process Methods 0.000 claims description 6
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 claims description 4
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 4
- 238000011835 investigation Methods 0.000 claims description 4
- 239000001301 oxygen Substances 0.000 claims description 4
- 229910052760 oxygen Inorganic materials 0.000 claims description 4
- 239000010865 sewage Substances 0.000 claims description 4
- 238000012937 correction Methods 0.000 claims description 3
- 238000009795 derivation Methods 0.000 claims description 3
- 238000007599 discharging Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 6
- 230000002159 abnormal effect Effects 0.000 abstract description 4
- 239000002351 wastewater Substances 0.000 abstract description 3
- 238000003911 water pollution Methods 0.000 abstract description 3
- 238000005406 washing Methods 0.000 description 15
- 230000006399 behavior Effects 0.000 description 6
- 238000004804 winding Methods 0.000 description 6
- 230000009471 action Effects 0.000 description 5
- 230000008569 process Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000007667 floating Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 239000003643 water by type Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/17—Terrestrial scenes taken from planes or by drones
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/02—Devices for withdrawing samples
- G01N1/10—Devices for withdrawing samples in the liquid or fluent state
- G01N1/14—Suction devices, e.g. pumps; Ejector devices
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/02—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
- G01N27/04—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance
- G01N27/06—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance of a liquid
- G01N27/08—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance of a liquid which is flowing continuously
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Immunology (AREA)
- Biochemistry (AREA)
- Pathology (AREA)
- Analytical Chemistry (AREA)
- Multimedia (AREA)
- Tourism & Hospitality (AREA)
- Computing Systems (AREA)
- Evolutionary Computation (AREA)
- Educational Administration (AREA)
- Software Systems (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Medical Informatics (AREA)
- Development Economics (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Databases & Information Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Remote Sensing (AREA)
- Hydrology & Water Resources (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a remote monitoring device for a water ecological environment based on artificial intelligence, and relates to the technical field of environment monitoring. The water ecological environment remote monitoring equipment based on artificial intelligence comprises an environmental data acquisition unit, a data processing unit, an enterprise monitoring unit, a data analysis unit and a result output unit. According to the invention, whether the enterprise has the stealing, draining and leaking behavior is analyzed by the data analysis unit according to the detection data of the environmental data acquisition unit and the enterprise monitoring unit, the analysis result is output to the enterprise monitoring unit and the remote monitoring system by the result output unit, the unattended monitoring and manpower saving consumption is realized, the method not only can be used for aiming at the waste water pollution source of the enterprise, but also can be used for the ecological environmental quality of river and lake water, and after the data of the domestic control water station of the government of the service place is abnormal, the big data system of the internet of things is used for reminding abnormal warning and tracing monitoring, and for the comprehensive administrative unit, the pollution source and the large environment can be combined for cooperative management.
Description
Technical Field
The invention relates to the technical field of environmental monitoring, in particular to a remote monitoring device for a water ecological environment based on artificial intelligence.
Background
The quality of the river water ecological environment refers to the total properties and the change states of the constituent elements of the ecological system of different scales of the river water body in a specific time and space range. The ecological environment of the river water in China is complex and fragile, most rivers are affected by pollution of different degrees along with the increase of the utilization and pollution of river water resources, the problems of reduction of the diversity of aquatic organisms in the rivers, degradation of habitats of the aquatic organisms and the like occur, and the detection and evaluation of the ecological quality of the river water in China become an important content of the environmental protection work in China.
Generally, pollution sources are inspected through manual monitoring, which is a traditional and manpower-consuming mode, unmanned aerial vehicle inspection occurs later, that is, remote sensing technology automatically monitors and automatically outputs data, and relatively speaking, the data are relatively single, and detection results may have errors.
Disclosure of Invention
Solves the technical problem
Aiming at the defects of the prior art, the invention provides the water ecological environment remote monitoring equipment based on artificial intelligence, and solves the problems that the traditional mode which consumes manpower is adopted in pollution source investigation, the detection mode is single, and the detection result is possible to have errors through artificial monitoring.
Technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: the utility model provides a water ecological environment remote monitoring equipment based on artificial intelligence, includes environmental data acquisition unit, data processing unit, enterprise's monitoring unit, data analysis unit and result output unit, wherein:
the environmental data acquisition unit comprises an unmanned aerial vehicle remote sensing acquisition module and hydrological environment acquisition equipment and is used for automatically acquiring water ecological environment data in a water area to be detected;
the data processing unit is used for carrying out synchronization processing on the detection data of the environment data acquisition unit and the enterprise monitoring unit;
the enterprise monitoring unit is used for monitoring the water consumption and the electricity consumption of the sewage disposal enterprises distributed in the water area and receiving warning information;
the data analysis unit is used for analyzing whether the enterprise has stealing, draining and missing behavior according to the detection data of the environmental data acquisition unit and the enterprise monitoring unit;
and the result output unit is used for outputting the analysis result of the data analysis unit to the enterprise monitoring unit and the remote monitoring system, and sending warning information to the enterprise if the enterprise has the behavior of stealing, draining and neglecting.
Preferably, the unmanned aerial vehicle remote sensing acquisition module adopts many rotor unmanned aerial vehicles to carry on the hyperspectral meter and carry out the full basin's of taking photo by plane and will shoot hydrology environment picture and send to data processing unit to aquatic ecological environment.
Preferably, hydrology environment collection equipment includes the equipment body and installs the board that floats at the outside both sides surface of equipment body, the bottom surface mounting of equipment body has the drive propeller, a side surface mounting of equipment body has the suction pump, the input outside surface mounting of suction pump has the sampling subassembly, the output outside surface mounting of suction pump has the derivation pipeline, and is close to a side surface mounting of equipment body of suction pump has detection components, a side surface mounting of equipment body has the washing subassembly.
Preferably, the sampling subassembly includes rotating motor and rolling axle, the rotating motor is installed at the equipment body side surface of neighbouring suction pump, the rolling axle is installed at the output outside surface of rotating the motor, the input outside surface mounting of suction pump has the sampling pipeline, the outside surface at the rolling axle is convoluteed in the sampling pipeline activity, the terminal surface mounting of sampling pipeline has the sampling probe.
Preferably, the determine module is including detecting barrel and driving motor, a side surface at the equipment body is installed to the detection barrel, the end of deriving the pipeline extends to the top that detects the barrel, the bottom surface mounting who detects the barrel has the escape pipe, the terminal surface mounting of escape pipe has the control valve, driving motor installs the equipment body side surface at the neighbouring barrel one side that detects, driving motor's output outside surface mounting has the lift fulcrum shaft, the top surface mounting of lift fulcrum shaft has the fixed bolster, the bottom surface mounting of fixed bolster has the sensor probe.
Preferably, the outer side surface of the sensor probe is provided with a dissolved oxygen sensor, a turbidity sensor, a pH value sensor, a temperature sensor, an ammonia nitrogen sensor and a conductivity sensor.
Preferably, the subassembly that washes includes the washing water storage tank and washes the barrel, the top surface at the equipment body is installed respectively with washing the barrel to the washing water storage tank, the top surface mounting who washes the water storage tank has siphon pipeline, siphon pipeline's end extends to the top of washing the barrel.
Preferably, the data processing unit comprises a wireless communication module, an internet of things data integration module and a data storage module; wherein:
the wireless communication module is arranged on the sensor probe, is electrically connected with the sensor probe and transmits the detection data of the sensor probe to the Internet of things data integration module;
the Internet of things data integration module is used for receiving detection data of the enterprise monitoring unit and detection data of the sensor probe and performing data arrangement according to the area where the enterprise is located;
and the data storage module is used for storing the detection data after the detection data are sorted, and updating the database at regular time.
Preferably, the enterprise monitoring unit comprises an enterprise power consumption monitoring module, an enterprise water consumption monitoring module and a remote reminding module; wherein:
the system comprises an enterprise power consumption monitoring module, wherein power monitoring devices are arranged in enterprises in a water ecological environment distribution area to be detected, and power consumption of the enterprises can be monitored in real time by adopting a power consumption monitoring detector;
the enterprise water consumption monitoring module is characterized in that water quantity monitoring devices are arranged in enterprises in the ecological environment distribution area of the water to be detected, and the water consumption of the enterprises can be monitored in real time by adopting electronic flow meters;
and the remote reminding module is used for receiving the warning information, sending a prompt to the enterprise, reminding the enterprise of self correction, and informing environmental protection personnel to carry out on-site investigation if the warning is invalid.
Preferably, the data analysis unit comprises a data receiving module, a standard database and a data comparison module; wherein:
the data receiving module is used for receiving the detection data which are arranged by the Internet of things data integration module;
the standard database is used for drawing up standard emission pollution value data according to the power consumption and water consumption of enterprises;
and the data comparison module is used for comparing the data received by the data receiving module with the standard database, if the detection data accords with the emission pollution value data, the enterprise is indicated to reasonably discharge, and if the detection data is greater than the emission pollution value data, the enterprise is indicated to have the condition of stealing, discharging and missing.
Advantageous effects
The invention has the following beneficial effects:
(1) This water ecological environment remote monitoring equipment based on artificial intelligence, the monitoring unit of enterprise is used for monitoring the water consumption and the power consumption of the blowdown enterprise of distribution in the waters, and can receive warning information, carry out synchronization process with environmental data acquisition unit and the monitoring unit's of enterprise detection data through the data processing unit, whether there is the action of stealing and leaking the row through the data analysis unit according to environmental data acquisition unit and the monitoring unit's of enterprise detection data analysis enterprise, export the analysis result of data analysis unit to monitoring unit of enterprise and remote monitering system through result output unit, if there is the action of stealing and leaking the row in the enterprise, send warning information to the enterprise, intelligent degree is high, realize that unmanned supervision uses manpower sparingly and consumes.
(2) This water ecological environment remote monitoring equipment based on artificial intelligence not only can be to the waste water pollution source of enterprise, can be used to river lake water ecological environment quality simultaneously, and the local government of service accuse municipal accuse water station data of keeping out a good luck appear unusual the back, reminds unusual warning and the monitoring of tracing to the source through thing networking big data system.
(3) The water ecological environment remote monitoring equipment based on artificial intelligence can be used for carrying out cooperative management on a comprehensive administrative unit by combining a pollution source and a large environment.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
FIG. 1 is a flow chart of the system of the present invention;
FIG. 2 is a schematic view of the external structure of the hydrological environment acquisition equipment of the present invention;
FIG. 3 is a schematic view of the external structure of a hydrological environment collection device according to another aspect of the present invention;
FIG. 4 is a schematic view of the external structure of a hydrological environment collection device according to another aspect of the present invention;
fig. 5 is a schematic view of the external structure of a hydrological environment collection device in another aspect of the present invention.
In the figure, 1, an apparatus body; 2. a floating plate; 3. driving the propeller; 4. a suction pump; 5. leading out a pipeline; 6. rotating the motor; 7. a winding shaft; 8. a sampling pipe; 9. sampling a probe; 10. detecting the cylinder; 11. a drive motor; 12. a lifting fulcrum; 13. a fixed bracket; 14. a sensor probe; 15. flushing a water storage tank; 16. flushing the cylinder body; 17. a siphon pipe; 18. a discharge conduit; 19. and (4) controlling the valve.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "opening," "upper," "lower," "thickness," "top," "middle," "length," "inner," "peripheral," and the like are used in an orientation or positional relationship that is merely for convenience in describing and simplifying the description, and do not indicate or imply that the referenced component or element must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be considered as limiting the present invention.
Referring to fig. 1 to 5, an embodiment of the present invention provides a technical solution: the utility model provides a water ecological environment remote monitoring equipment based on artificial intelligence, includes environmental data acquisition unit, data processing unit, enterprise's monitoring unit, data analysis unit and result output unit, wherein:
the environmental data acquisition unit comprises an unmanned aerial vehicle remote sensing acquisition module and hydrological environment acquisition equipment and is used for automatically acquiring water ecological environment data in a water area to be detected;
the data processing unit is used for carrying out synchronization processing on the detection data of the environment data acquisition unit and the enterprise monitoring unit;
the enterprise monitoring unit is used for monitoring the water consumption and the electricity consumption of the sewage disposal enterprises distributed in the water area and receiving warning information;
the data analysis unit is used for analyzing whether the enterprise has theft, leakage and arrangement behavior according to the detection data of the environmental data acquisition unit and the enterprise monitoring unit;
and the result output unit is used for outputting the analysis result of the data analysis unit to the enterprise monitoring unit and the remote monitoring system, and sending warning information to the enterprise if the enterprise has the behavior of stealing, draining and neglecting.
Specifically, unmanned aerial vehicle remote sensing collection module adopts many rotor unmanned aerial vehicle to carry on the hyperspectral meter to carry out full basin's aerial photography and will shoot hydrology environment picture and send to data processing unit to aquatic ecological environment.
Further, hydrology environment collection equipment includes equipment body 1 and installs the board 2 that floats at 1 outer both sides surface of equipment body, the bottom surface mounting of equipment body 1 has drive propeller 3, one side surface mounting of equipment body 1 has suction pump 4, the input outside surface mounting of suction pump 4 has the sampling subassembly, the output outside surface mounting of suction pump 4 has derivation pipeline 5, 1 one side surface mounting of equipment body of neighbouring suction pump 4 has a detection module, one side surface mounting of equipment body 1 has the subassembly that washes.
Further, the sampling assembly comprises a rotating motor 6 and a winding shaft 7, the rotating motor 6 is installed on one side surface of the equipment body 1 adjacent to the suction pump 4, the winding shaft 7 is installed on the outer side surface of the output end of the rotating motor 6, a sampling pipeline 8 is installed on the surface of the outer side of the input end of the suction pump 4, the sampling pipeline 8 is movably wound on the outer side surface of the winding shaft 7, and a sampling probe 9 is installed on the surface of the tail end of the sampling pipeline 8.
Further, the detection assembly comprises a detection barrel 10 and a driving motor 11, one side surface of the equipment body 1 is installed with the detection barrel 10, the tail end of the guide pipeline 5 extends to the upper side of the detection barrel 10, the bottom end surface of the detection barrel 10 is provided with a discharge pipeline 18, the tail end surface of the discharge pipeline 18 is provided with a control valve 19, the driving motor 11 is installed on one side surface of the equipment body 1 adjacent to one side of the detection barrel 10, the outer side surface of the output end of the driving motor 11 is provided with a lifting fulcrum shaft 12, the top end surface of the lifting fulcrum shaft 12 is provided with a fixed support 13, and the bottom end surface of the fixed support 13 is provided with a sensor probe 14.
Further, 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.
Further, the washing assembly comprises a washing water storage tank 15 and a washing cylinder 16, wherein the washing water storage tank 15 and the washing cylinder 16 are respectively arranged on the top end surface of the equipment body 1, a siphon pipe 17 is arranged on the top end surface of the washing water storage tank 15, and the tail end of the siphon pipe 17 extends to the upper part of the washing cylinder 16.
Further, the data processing unit comprises a wireless communication module, an internet of things data integration module and a data storage module; wherein:
the wireless communication module is arranged on the sensor probe 14, is electrically connected with the sensor probe 14 and transmits the detection data of the sensor probe 14 to the data integration module of the internet of things;
the Internet of things data integration module is used for receiving detection data of the enterprise monitoring unit and detection data of the sensor probe 14 and sorting the data according to the area where the enterprise is located;
and the data storage module is used for storing the detection data after the detection data are sorted, and updating the database at regular time.
Further, the enterprise monitoring unit comprises an enterprise power consumption monitoring module, an enterprise water consumption monitoring module and a remote reminding module; wherein:
the system comprises an enterprise power consumption monitoring module, a water ecological environment distribution area and a water ecological environment distribution area, wherein power consumption monitoring devices are arranged in enterprises in the water ecological environment distribution area to be detected, and power consumption of the enterprises can be monitored in real time by adopting power consumption monitoring detectors;
the enterprise water consumption monitoring module is characterized in that water quantity monitoring devices are arranged in enterprises in the ecological environment distribution area of the water to be detected, and the water consumption of the enterprises can be monitored in real time by adopting electronic flow meters;
and the remote reminding module is used for receiving the warning information, sending a prompt to the enterprise, reminding the enterprise of self correction, and informing environmental protection personnel to carry out on-site investigation if the warning is invalid.
Further, the data analysis unit comprises a data receiving module, a standard database and a data comparison module; wherein:
the data receiving module is used for receiving the detection data which are arranged by the Internet of things data integration module;
the standard database is used for drawing up standard emission pollution value data according to the power consumption and water consumption of enterprises;
the data comparison module compares the data received by the data receiving module with the standard database, if the detection data accords with the emission pollution value data, the enterprise is indicated to reasonably discharge, and if the detection data is greater than the emission pollution value data, the enterprise is indicated to have the condition of stealing, discharging and missing
When the device is used (during work), hydrological environment acquisition equipment is placed at an enterprise discharge outlet in a water ecological environment distribution area to be detected, the device body 1 is driven to move in a water area through the driving propeller 3, the rotating motor 6 is controlled through the remote control system to drive the winding shaft 7 to rotate, the sampling probe 9 is rotated to the position above the water area, the winding shaft 7 continues to rotate, the sampling pipeline 8 is discharged, the sampling probe 9 extends below the water surface, and a hydrological sample is sucked through the suction pump 4;
guiding out a hydrological sample to a detection cylinder 10 through a guide-out pipeline 5, then driving a lifting fulcrum shaft 12 to descend through a driving motor 11, so that a sensor probe 14 extends into the detection cylinder 10, the sensor probe 14 is in contact with the hydrological sample, detecting data of the hydrological sample are obtained through a dissolved oxygen sensor, a turbidity sensor, a pH value sensor, a temperature sensor, an ammonia nitrogen sensor and a conductivity sensor, and then the detecting data are transmitted to a data processing unit through a wireless communication module;
the enterprise monitoring unit is used for monitoring the water consumption and the power consumption of sewage enterprises distributed in a water area, receiving warning information, carrying out synchronous processing on detection data of the environment data acquisition unit and the enterprise monitoring unit through the data processing unit, analyzing whether the enterprises have stealing, draining and leaking behaviors or not according to the detection data of the environment data acquisition unit and the enterprise monitoring unit through the data analysis unit, outputting an analysis result of the data analysis unit to the enterprise monitoring unit and a remote monitoring system through the result output unit, and sending warning information to the enterprises if the enterprises have the stealing, draining and leaking behaviors, so that the enterprise monitoring system not only can be used for aiming at waste water pollution sources of the enterprises, but also can be used for ecological environment quality of river and lake water, and can be used for reminding abnormal warning and tracing monitoring through a large data system of the internet of things after the data of the provincial and local government-controlled municipal controlled water stations of service places are abnormal, and can be cooperatively managed by combining a pollution source and a large environment for comprehensive administrative units;
after a sample, open control valve 19 and derive the hydrology sample, through rotating 6 counter-rotations of motor, drive sampling pipe 8 and reset, make sampling probe 9 stretch into and wash barrel 16, extract the washing water in washing water storage tank 15 from siphon pipeline 17, pump the washing water to detecting barrel 10 through suction pump 4, to sampling probe 9, sampling pipe 8 and derive pipeline 5 and detect barrel 10 and wash in proper order, wash and discharge from discharge pipeline 18 after accomplishing, conveniently carry out next sample.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand the invention for and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (10)
1. The utility model provides a water ecological environment remote monitoring equipment based on artificial intelligence, includes environmental data acquisition unit, data processing unit, enterprise's monitoring unit, data analysis unit and result output unit, its characterized in that: wherein:
the environmental data acquisition unit comprises an unmanned aerial vehicle remote sensing acquisition module and hydrological environment acquisition equipment and is used for automatically acquiring water ecological environment data in a water area to be detected;
the data processing unit is used for carrying out synchronization processing on the detection data of the environment data acquisition unit and the enterprise monitoring unit;
the enterprise monitoring unit is used for monitoring the water consumption and the electricity consumption of the sewage disposal enterprises distributed in the water area and receiving warning information;
the data analysis unit is used for analyzing whether the enterprise has theft, leakage and arrangement behavior according to the detection data of the environmental data acquisition unit and the enterprise monitoring unit;
and the result output unit is used for outputting the analysis result of the data analysis unit to the enterprise monitoring unit and the remote monitoring system, and sending warning information to the enterprise if the enterprise has the behavior of stealing, draining and omitting.
2. The artificial intelligence based water ecological environment remote monitoring device according to claim 1, characterized in that: unmanned aerial vehicle remote sensing collection module adopts many rotor unmanned aerial vehicle to carry on the hyperspectral meter and carry out the aerial photograph of full basin and send the hydrological environment picture of shooing to data processing unit to aquatic ecological environment.
3. The artificial intelligence based water ecological environment remote monitoring device according to claim 1, characterized in that: hydrology environment collection equipment includes equipment body (1) and installs showy board (2) at the outer both sides surface of equipment body (1), the bottom surface mounting of equipment body (1) has drive propeller (3), one side surface mounting of equipment body (1) has suction pump (4), the input outside surface mounting of suction pump (4) has the sampling subassembly, the output outside surface mounting of suction pump (4) has derivation pipeline (5), and is close to equipment body (1) one side surface mounting of suction pump (4) has the determine module, one side surface mounting of equipment body (1) has the flushing assembly.
4. The artificial intelligence based water ecological environment remote monitoring device according to claim 3, characterized in that: the sampling subassembly is including rotating motor (6) and rolling axle (7), rotate motor (6) and install equipment body (1) a side surface at neighbouring suction pump (4), the output outside surface at rotating motor (6) is installed in rolling axle (7), the input outside surface mounting of suction pump (4) has sampling tube (8), sampling tube (8) activity is convoluteed on the outside surface of rolling axle (7), the terminal surface mounting of sampling tube (8) has sampling probe (9).
5. The artificial intelligence based water ecological environment remote monitoring device according to claim 3, characterized in that: the utility model discloses a detection assembly, including detecting barrel (10) and driving motor (11), detect a side surface at equipment body (1) in barrel (10), the end of deriving pipeline (5) extends to the top that detects barrel (10), the bottom surface mounting that detects barrel (10) has discharge pipe (18), the terminal surface mounting of discharge pipe (18) has control valve (19), driving motor (11) are installed in the equipment body (1) a side surface of neighbouring detection barrel (10) one side, the output outside surface mounting of driving motor (11) has lift fulcrum shaft (12), the top surface mounting of lift fulcrum shaft (12) has fixed bolster (13), the bottom surface mounting of fixed bolster (13) has sensor probe (14).
6. The artificial intelligence based water ecological environment remote monitoring equipment according to claim 5, characterized in that: the outer side surface of the sensor probe (14) is provided with a dissolved oxygen sensor, a turbidity sensor, a PH value sensor, a temperature sensor, an ammonia nitrogen sensor and a conductivity sensor.
7. The artificial intelligence based water ecological environment remote monitoring device according to claim 3, characterized in that: the flushing assembly comprises a flushing water storage tank (15) and a flushing cylinder body (16), the flushing water storage tank (15) and the flushing cylinder body (16) are respectively installed on the top end surface of the equipment body (1), a siphon pipeline (17) is installed on the top end surface of the flushing water storage tank (15), and the tail end of the siphon pipeline (17) extends to the position above the flushing cylinder body (16).
8. The artificial intelligence based water ecological environment remote monitoring device according to claim 1, characterized in that: the data processing unit comprises a wireless communication module, an Internet of things data integration module and a data storage module; wherein:
the wireless communication module is arranged on the sensor probe (14), is electrically connected with the sensor probe (14), and transmits the detection data of the sensor probe (14) to the Internet of things data integration module;
the Internet of things data integration module is used for receiving detection data of the enterprise monitoring unit and detection data of the sensor probe (14) and sorting the data according to the area where the enterprise is located;
and the data storage module is used for storing the detection data after the detection data are sorted, and updating the database at regular time.
9. The artificial intelligence based water ecological environment remote monitoring device according to claim 1, characterized in that: the enterprise monitoring unit comprises an enterprise power consumption monitoring module, an enterprise water consumption monitoring module and a remote reminding module; wherein:
the system comprises an enterprise power consumption monitoring module, wherein power monitoring devices are arranged in enterprises in a water ecological environment distribution area to be detected, and power consumption of the enterprises can be monitored in real time by adopting a power consumption monitoring detector;
the enterprise water consumption monitoring module is characterized in that water quantity monitoring devices are arranged in enterprises in the ecological environment distribution area of the water to be detected, and the water consumption of the enterprises can be monitored in real time by adopting electronic flow meters;
and the remote reminding module is used for receiving the warning information, sending a prompt to the enterprise, reminding the enterprise of self correction, and informing environmental protection personnel to carry out on-site investigation if the warning is invalid.
10. The artificial intelligence based water ecological environment remote monitoring device according to claim 1, characterized in that: the data analysis unit comprises a data receiving module, a standard database and a data comparison module; wherein:
the data receiving module is used for receiving the detection data which are arranged by the Internet of things data integration module;
the standard database is used for drawing up standard emission pollution value data according to the power consumption and water consumption of enterprises;
and the data comparison module is used for comparing the data received by the data receiving module with the standard database, if the detection data accords with the emission pollution value data, the enterprise is indicated to reasonably discharge, and if the detection data is greater than the emission pollution value data, the enterprise is indicated to have the condition of stealing, discharging and missing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211173906.4A CN115565088A (en) | 2022-09-26 | 2022-09-26 | Water ecological environment remote monitoring equipment based on artificial intelligence |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211173906.4A CN115565088A (en) | 2022-09-26 | 2022-09-26 | Water ecological environment remote monitoring equipment based on artificial intelligence |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115565088A true CN115565088A (en) | 2023-01-03 |
Family
ID=84743823
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211173906.4A Pending CN115565088A (en) | 2022-09-26 | 2022-09-26 | Water ecological environment remote monitoring equipment based on artificial intelligence |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115565088A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115995050A (en) * | 2023-03-22 | 2023-04-21 | 山东汇蓝环保科技有限公司 | Environment monitoring data processing system based on aerial photography |
-
2022
- 2022-09-26 CN CN202211173906.4A patent/CN115565088A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115995050A (en) * | 2023-03-22 | 2023-04-21 | 山东汇蓝环保科技有限公司 | Environment monitoring data processing system based on aerial photography |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110297018A (en) | A kind of method and device that drainage pipeline networks pollutant emission is traced to the source | |
| CN209296708U (en) | Water quality real-time monitoring intelligent alarm system | |
| CN202120107U (en) | Automatic quality control system for water quality on-line monitoring | |
| CN115565088A (en) | Water ecological environment remote monitoring equipment based on artificial intelligence | |
| CN105044370A (en) | Unattended heavy metal sewage monitoring device | |
| US11225422B2 (en) | Field groundwater filtering and sampling and moving-water flow index measuring device and method | |
| CN209858539U (en) | Ambient air, peculiar smell stench class and VOC gas monitoring system | |
| CN213903495U (en) | Buoy type solar water quality on-line monitoring device | |
| CN208420563U (en) | A kind of water area monitoring device | |
| CN112946216A (en) | Intelligent water quality monitoring system | |
| CN111735975A (en) | Outdoor water quality online monitoring integrated system and monitoring method thereof | |
| CN217238026U (en) | A equipment for quality of water environmental protection monitoring | |
| CN212540375U (en) | Novel water quality monitoring device | |
| CN211318409U (en) | Water quality on-line detection equipment | |
| CN117269046A (en) | Water quality monitoring equipment | |
| CN109828093B (en) | Rural black and odorous water river on-line monitoring base station | |
| CN210136224U (en) | Sewage pipe network water quality on-line monitoring system | |
| CN211478142U (en) | Biological early warning micro-station for comprehensive toxicity evaluation of water environment and water quality | |
| CN209878735U (en) | Water quality monitoring device | |
| CN110988295A (en) | Floating type sewage detection system and method based on NB _ IoT | |
| CN216792201U (en) | Novel place groundwater pollutes multisource data acquisition device | |
| CN111665339A (en) | Drinking water monitoring and management system | |
| CN219382759U (en) | Floating frame structure for monitoring environment in water area environment | |
| CN212780773U (en) | Groundwater water quality testing device | |
| CN217212654U (en) | Town water quality index monitoring device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |