CN212990152U - Agricultural sewage management system - Google Patents

Agricultural sewage management system Download PDF

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CN212990152U
CN212990152U CN202021289974.3U CN202021289974U CN212990152U CN 212990152 U CN212990152 U CN 212990152U CN 202021289974 U CN202021289974 U CN 202021289974U CN 212990152 U CN212990152 U CN 212990152U
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monitoring
cloud server
data
station
pump station
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白俊杰
董豪
胡晓晶
王亚陆
黄天赐
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China Construction Intelligent Technology Co ltd
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China Construction Intelligent Technology Co ltd
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Abstract

The application provides a farming dirty management system. The system comprises: the system comprises a site monitoring device, a cloud server, a monitoring center and an operation and maintenance terminal; the site monitoring device is arranged at each monitoring site and used for acquiring the agricultural pollution data of the monitoring site and uploading the agricultural pollution data to the cloud server through the network; the cloud server is used for storing the agricultural pollution data, judging whether the working state of the monitoring station is abnormal or not according to the agricultural pollution data, and sending maintenance information to the operation and maintenance terminal under the condition of abnormality; the monitoring center is used for sending a data acquisition request to the cloud server through the network and receiving the agricultural pollution data returned by the cloud server. The embodiment of the application can realize automatic monitoring of the agricultural pollution data of each monitoring station, and can timely discover and timely inform the operation and maintenance terminal when a fault occurs. Therefore, on one hand, the frequency of manually routing inspection to each site is saved, and on the other hand, faults can be timely found and processed.

Description

Agricultural sewage management system
Technical Field
The application relates to the technical field of internet communication, in particular to a pollution control management system.
Background
With the development of social economy, water environment is facing to severe deterioration examination, and industrial pollution, agricultural non-point source pollution, rural life pollution and the like become important subjects which are commonly concerned by all the social circles. The direct discharge of untreated rural domestic sewage is one of the causes of rural water environment deterioration. The direct discharge of rural domestic sewage can cause the increase of the content of nitrogen, sulfur and phosphorus in the water body, cause the eutrophication of the water body, seriously damage the water environment and also influence the human health.
In the prior art, for rural sewage management, sensors are arranged at monitoring stations, and whether data on the sensors are normal, whether equipment is damaged, and conditions such as peripheral pipe networks are checked in a worker inspection mode. This method consumes too much manpower and is not timely handled when a certain monitoring station fails.
SUMMERY OF THE UTILITY MODEL
An object of the embodiment of the application is to provide a soil and agricultural chemical pollution management system, which is used for solving the problems of overlarge manpower resource consumption and untimely fault treatment in the prior art.
The embodiment of the application provides a farming dirty management system, includes: the system comprises a site monitoring device, a cloud server, a monitoring center and an operation and maintenance terminal; wherein: the site monitoring device is arranged at each monitoring site and used for acquiring the agricultural pollution data of the monitoring site and uploading the agricultural pollution data to the cloud server through a network; the cloud server is used for storing the agricultural pollution data, judging whether the working state of the monitoring station is abnormal or not according to the agricultural pollution data, and sending maintenance information to the operation and maintenance terminal under the condition of abnormality; the monitoring center is used for sending a data acquisition request to the cloud server through a network and receiving the agricultural pollution data returned by the cloud server.
The agricultural pollution management system composed of the station monitoring devices, the cloud server, the monitoring center and the operation and maintenance terminal can automatically monitor agricultural pollution data of all monitoring stations, and can timely find and timely inform the operation and maintenance terminal when a fault occurs. Therefore, on the one hand, the frequency of manually routing inspection to each site is saved, and on the other hand, faults can be found in time.
Further, the station monitoring apparatus includes: a video capture device; the video acquisition equipment is used for acquiring video data of the corresponding monitoring station. The video information of the monitoring station can be acquired through the video acquisition equipment, so that people can be found to break into or invade the monitoring station in time.
Further, the station monitoring device further comprises a gateway; processing station monitoring equipment corresponding to a processing station in the monitoring stations, pump station monitoring equipment corresponding to a pump station and purification tank monitoring equipment corresponding to a purification tank are respectively connected with corresponding gateways through a PLC system; the gateway is used for sending the working state of the processing station, the working state of the pump station and the working state of the purification tank to the cloud server. The embodiment of the application respectively sets corresponding gateways in the processing station, the pump station and the purification tank of each monitoring station, and the working states of the processing station, the pump station and the purification tank can be sent to the cloud server through the gateways, so that the cloud server can judge whether the running state of each monitoring station is normal.
Furthermore, the video acquisition equipment is a camera with a wireless communication function, and the camera sends acquired video data to the cloud server.
Further, the monitoring center includes: the display device and the working terminal are in communication connection; the display device and the working terminal are in communication connection with the cloud server; the working terminal is used for sending a data acquisition request to the cloud server and receiving the agricultural pollution data sent by the cloud server; the display device is used for displaying the agricultural pollution data.
The embodiment of the application shows the dirty data of farming that cloud server collected through display device, and the staff of being convenient for looks over.
Further, the system also comprises a sub monitoring center; the sub monitoring center comprises a working terminal; and the system is used for acquiring the agricultural pollution data from the cloud server so as to realize monitoring of each monitoring station. Through the arrangement of the sub-monitoring center, after the staff of the sub-monitoring center finds that the monitoring stations nearby find the fault, the staff can reach the fault station in time for maintenance.
Further, the cloud server also stores position information of the pump station corresponding to each monitoring station, and generates a corresponding pump station topology network according to the position information. By generating the topological network of the pump stations, the working personnel can clearly know the positions of the pump stations and the upstream and downstream relations among the pump stations.
Further, the agricultural sewage data comprises water quality data and purification tank information corresponding to the water quality data; the cloud server is specifically used for sending a water quality abnormity alarm to the operation and maintenance terminal if the water quality data does not meet the preset requirement, wherein the water quality abnormity alarm comprises the information of the purification tank.
Further, the agricultural sewage data comprises pump station working state information and position information corresponding to the pump station; the cloud server is specifically configured to send a pump station abnormality alarm to the operation and maintenance terminal if the pump station working state information is abnormal, where the pump station abnormality alarm includes the position information of the pump station.
Further, the cloud server is further used for remotely controlling the starting and stopping of each pump station under the condition that the working state information of the pump stations is abnormal. Preventing sewage from overflowing and causing secondary pollution.
Additional features and advantages of the present application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the present application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic structural diagram of an agricultural waste management system according to an embodiment of the present application;
fig. 2 is a network topology structure diagram of an agricultural pollution management system according to an embodiment of the present application;
fig. 3 is an architecture diagram of an agricultural waste management system according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
Fig. 1 is a schematic structural diagram of an agricultural pollution management system provided in an embodiment of the present application, and as shown in fig. 1, the system includes a site monitoring device 101, a cloud server 102, a monitoring center 103, and an operation and maintenance terminal 104; wherein:
the site monitoring device 101 is arranged at each monitoring site, and is used for collecting the agricultural pollution data of the monitoring site and uploading the agricultural pollution data to the cloud server 102 through a network.
For rural sewage treatment systems, a plurality of monitoring sites distributed in different places are generally needed to collect agricultural sewage data in different places, so that fine agricultural sewage monitoring is realized. The agricultural pollution data comprises equipment data acquisition and external data acquisition; wherein, equipment data acquisition includes: the monitoring system comprises agricultural and sewage station data (namely the running state of each monitoring device in a monitoring station), video data, inspection data, maintenance data, water quality data and the like. The external data acquisition comprises meteorological data, social data and the like.
The station monitoring device 101 is in communication connection with the cloud server 102, and can send the collected agricultural pollution data to the cloud server 102.
The cloud server 102 is configured to store the pollution data, judge whether a working state of a monitoring station is abnormal according to the pollution data, and send maintenance information to the operation and maintenance terminal 104 when the working state is abnormal.
The cloud server may employ a public cloud deployment scheme or a self-built private cloud data center. The cloud data center can comprise a hardware server, a WEB server, an application server, a database server, a message server, a computing server, a geographic information server, a streaming media server, a storage device, supporting software and the like. The cloud data center database design mainly comprises a GIS database, a BIM database, a management network database, a monitoring database, a video database and a service database.
The cloud server stores the received agricultural pollution data, whether the working state of each device in the monitoring station is abnormal or not can be judged according to the agricultural pollution data, and if the working state is abnormal, maintenance information is sent to the operation and maintenance terminal.
It can be understood that the agricultural pollution data includes the operation conditions of each device in the detection site, and if the device fails, a failure signal can be sent to the cloud server, and at this time, the cloud server can judge that the device fails.
The monitoring center 103 is configured to send a data acquisition request to the cloud server 102 through a network, and receive the agricultural pollution data returned by the cloud server 102.
The monitoring center is the place that the staff worked, and the staff communicates with the cloud server through the terminal in the monitoring center, sends the request that obtains of farming dirty data to the cloud server, and the cloud server returns corresponding farming dirty data according to this request, and the terminal is after receiving the farming dirty data, shows on sending the farming dirty data to display device.
The agricultural pollution management system composed of the station monitoring devices, the cloud server, the monitoring center and the operation and maintenance terminal can automatically monitor agricultural pollution data of all monitoring stations, and can timely find and timely inform the operation and maintenance terminal when a fault occurs. Therefore, on the one hand, the frequency of manually routing inspection to each site is saved, and on the other hand, faults can be found in time.
Fig. 2 is a network topology structure diagram of an agricultural pollution management system according to an embodiment of the present application, as shown in fig. 2, the network topology includes a monitoring center 103, a cloud server 102, a monitoring site 105, a sub-monitoring center 106, and an operation and maintenance terminal 104; wherein:
the monitoring center 103 includes a display device 1031 and a work terminal 1032; the work terminal 1032 is connected to the display device 1031 in communication, and the work terminal 1032 and the display device 1031 are connected to the cloud server 102 in communication through a switch or a router. The working terminals 1032 can be multiple, the display device 1031 can be a large-screen GIS-BIM holographic display module, and the module can collect information with different dimensionalities into a unified 3D scene for display, so that the information interaction efficiency is greatly improved, and the overall information management and control force of a management layer is effectively enhanced. The large-screen GIS-BIM holographic display module is a large-screen display interface of a monitoring center, and supports display of position distribution of sewage treatment stations, pump stations and purification tanks and sewage treatment data by adopting technologies such as a Geographic Information System (GIS), a Building Information Model (BIM), large data analysis and the like. And clicking the monitoring station, displaying a sewage treatment process flow chart, basic information of the station, water quality data, a monitoring video and the running state of equipment. According to the actual use requirement, the contents displayed by the large-screen GIS-BIM holographic display module can comprise site distribution, video monitoring, alarm information, task overview, water quality monitoring data, facility operation data, overall flow data, card flow statistics and site energy consumption statistics. It can be understood that the information may be directly obtained from the cloud server, or the work terminal may obtain the basic data from the cloud server, and obtain the basic data after analyzing and processing the basic data. For example: the sites are distributed in such a way that the position information of each site is marked on a map; the video monitoring means displaying video information acquired by a camera; the alarm information is used for displaying the alarm information sent by the cloud server; the water quality monitoring data is water quality monitoring report data sent to a cloud server by water quality monitoring personnel and is displayed through a large screen; the card flow statistics refers to the flow used by the agricultural pollution data sent to the cloud server by the network card; the station energy consumption statistics refers to the fact that the cloud server counts energy consumption of each station, mainly energy consumption can be achieved, and the energy consumption and total energy consumption of each station are displayed through a large screen.
The working terminal 1032 can manage each site, including the device operation condition, the process configuration information, the device basic information, the video monitoring, and the parameter modification of the corresponding site. Wherein, the process configuration information shows the rural sewage treatment process of the corresponding site in the form of a configuration diagram; parameter modification refers to modification of equipment operation parameters, such as lift pump operation time setting, electromagnetic valve operation time accumulation and the like, which are prefabricated in the system in advance. The video alarm snapshot and the video playback are supported, the video of the local corresponding time is called, and the tracing investigation of the emergency problem event is assisted.
The station monitoring device 101 may be a video acquisition device 1011, and the video acquisition device 1011 is arranged at each monitoring station, and specifically, an infrared 4G network camera may be used to directly connect to the Internet. Typically using a ball or gun camera. A user directly calls video data through a network through a video management system to check the real-time situation of a site. The video data is stored by a local SD card, so that the video can be traced in a certain period, and the purpose of saving 4G flow resources is achieved. When personnel break into or invade the field, the platform receives the camera dynamic detection alarm.
In addition, the station monitoring apparatus further includes a gateway 1012, and similarly, the gateway 1012 is disposed in each device of each monitoring station, as shown in fig. 2, the processing station, the purge tank, and the pump station of each monitoring station are provided with gateways, and are connected to the PLC system 1013 through the VPN network, and the PLC system is further communicatively connected to the electric control cabinet 1014, and is configured to detect the operating states of each instrument (e.g., sensor) in the corresponding processing station, purge tank, and pump station, and upload the operating states to the cloud server 102 through the gateway 1012. The acquisition frequency of the gateway 1012 can be set according to the requirement, and is generally 500 ms/time. It will be appreciated that the instrumentation in the process station may be referred to as process station monitoring equipment, the instrumentation in the purge tank may be referred to as purge tank monitoring equipment, and the instrumentation in the pump station may be referred to as pump station monitoring equipment.
It should be noted that, a plurality of instruments are disposed in the processing station, the purification tank and the pump station, and specifically, reference may be made to the existing processing station, purification tank and pump station.
The operation and maintenance terminal 104 is a terminal used by operation and maintenance personnel, and when a certain monitoring site fails, the operation and maintenance personnel receives a fault alarm sent by the cloud server, and the operation and maintenance personnel performs maintenance on the corresponding monitoring site according to the fault alarm.
The cloud server 102 may perform intelligent scheduling, operation management, device management, cost management, report management, statistical analysis, knowledge management, and the like. Wherein:
the intelligent scheduling is the management of the whole process of the alarm, namely the cloud server judges the operation state of each monitoring station according to the agricultural pollution data and sends the alarm to the operation and maintenance terminal under the abnormal condition. And the cloud server generates a maintenance and inspection task list according to the alarm management, and schedules maintenance personnel and vehicles nearby. The dispatching management supports the unified summary management of alarm information provided by various alarm types such as abnormal data alarm, routing inspection data alarm and the like; the collected alarm information is supported to be dispatched to operation and maintenance personnel, a knowledge base solution is automatically dispatched according to the alarm information to be referred by the operation and maintenance personnel, and the operation and maintenance personnel backfill relevant processing information after the alarm processing is finished; and the functions of dispatching, filing and transferring are supported.
The operation management is the core of the operation management content of the intelligent pollution management system and comprises shift management, vehicle management, alarm management, inspection management, maintenance management, repair management, exception management, GIS route management and SIM card flow management. The shift arrangement management is that management personnel carry out shift arrangement operation on the system. The inspection management module mainly comprises inspection setting, inspection plan management, inspection task management and inspection result management. The inspection management is divided into electronic inspection and manual inspection. The electronic inspection cycle can be customized, the results are intelligently analyzed, and an inspection report is generated. And analyzing the difference of the alarm quantity of different equipment in the same time period according to the electronic inspection result, and automatically optimizing the inspection plan. The cloud server supports the work terminal to check the finished inspection task result, and can check the picture, audio, video, personnel and vehicle tracks and the like uploaded in the inspection process. So that management departments can carry out effective management and control. After the station gives an alarm, the cloud server can automatically judge and issue the work order, and all alarm information and the order dispatching condition can be checked in alarm management. The inspection vehicle information can be checked in vehicle management. GIS route management mainly counts and displays work order operation processing conditions dispatched by dispatching in real time, tracks are tracked, and when routing inspection, maintenance inspection and equipment maintenance work are carried out, the system supports recommendation of an optimal working route and provides a route navigation function according to site position information and departure place position information and based on a GIS route planning algorithm.
The equipment management comprises storehouse management, on-line equipment management, purchase management, equipment supplier management and medicament management. Managing all equipment, instruments, sensors and the like used by the agricultural sewage system, including inventory management, spare part management and online automatic purchasing and stock service; meanwhile, related workers carry out data recording on the whole process management of equipment such as purchase, installation, operation, change, depreciation, maintenance, scrappage and the like and report the data to the cloud server, so that an equipment asset management file with a whole life cycle including dynamic data is formed, and convenience is provided for analyzing equipment operation, improving maintenance countermeasures and the like.
And the cloud server receives the expenses and the sewage treatment operation income in the aspects of personnel, equipment, vehicles, communication, energy and the like which are statistically analyzed by the staff, forms a corresponding monthly/seasonal/annual report form and is matched with a financial department to carry out management work in the aspects of income, expense and cash flow. The cost management comprises energy consumption cost management, consumable material cost management, maintenance expense management and wage management. Energy consumption cost management is station power consumption statistics and display. And payroll management, namely pushing the performance assessment data of each operation and maintenance management work to a human resource management department as a basis for payroll accounting, payroll distribution and labor cost aggregation and allocation. And payroll management, which supports personnel payroll statistics, payroll checking, payroll issuing and the like.
The report management comprises an energy consumption report, a test report, an operation and maintenance report, a cost report and a balance report. And automatic generation and manual input are supported, and self-defined business report forms and export are supported. The cloud server is internally provided with statistical analysis reports with rich contents and various forms, and the report requirements of users on conventional reporting, downloading, updating, filing and the like are met. For a user needing customized development, the cloud server can provide a report tool, the user can carry out custom template configuration, and the report is automatically counted and printed at the end of the month according to configuration content and set time.
The statistical analysis is situational awareness of the system operating conditions. The method comprises energy consumption statistics, shift scheduling statistics, attendance statistics, alarm statistics, inspection statistics, maintenance statistics, trend statistics and abnormal alarm statistics. The energy consumption statistics is used for carrying out statistics of the power consumption of equipment at each station, deviation statistics and real-time monitoring, visually displaying abnormal power consumption equipment and assisting managers in finding problems in time. The trend statistics is to realize early warning before equipment failure by analyzing various operation data of the equipment. Maintenance statistics can be analyzed through big data to help users to screen qualified suppliers; and automatically generating a proper routing inspection plan and scheme by analyzing the data of the abnormal alarm frequency. The routing inspection statistics mainly comprise month task completion rate statistics, abnormal quantity statistics and routing inspection total number statistics.
The knowledge management comprises knowledge dictionary, examination management and training management. The examination management is used for testing professional levels and business abilities of managers and operation and maintenance personnel, and taking examination scores as performance assessment items. The operation and maintenance personnel can carry out professional training and examination according to different departments and posts, thereby achieving the purpose of fine management of operation and maintenance.
As can also be seen from fig. 2, the agricultural waste management system may further include a branch office, i.e., the sub monitoring center 106, and the branch office may also be provided with a work terminal, an operation and maintenance terminal, and a display device. The functions of the working terminal, the operation and maintenance terminal and the display device are the same as those in the above embodiments, and are not described herein again.
On the basis of the embodiment, the position information of the pump stations corresponding to the monitoring stations is stored in the cloud server, and the upstream-downstream relationship between the pump stations can be determined according to the position information of the pump stations, so that the corresponding pump station topology network is generated according to the upstream-downstream relationship of the pump stations. The network topology is used for searching an upstream pump station from the network topology according to the position information of the fault pump station when a certain pump station breaks down, and controlling the upstream pump station to stop working so as to prevent sewage from overflowing and prevent the sewage of the upstream pump station from flowing to the fault pump station.
On the basis of the above embodiment, the pollution management system may further include a mobile terminal, and a corresponding application program is run in the mobile terminal, and functions of the application program include home page, my task, periodic inspection, site management, online repair, voice recognition, site screening, address list, and the like. And the home page is monitored through a GIS graph, and the distribution and the running conditions of all sites in the jurisdiction range of the user are displayed. The operation and maintenance terminal can also be a mobile terminal, and operation and maintenance personnel can receive the task work order through a mobile phone APP, and patrol or maintain the appointed place by utilizing the functions of APP planning path and navigation. The inspection personnel can use the APP to inspect the equipment and facilities on site, support the downloading and the query of inspection tasks, support the execution of the inspection tasks on site, obtain an operation and maintenance guide in a knowledge base, perform technical support, electronically input inspection results and report the inspection results in real time.
Fig. 3 is an architecture diagram of an agricultural pollution management system according to an embodiment of the present invention, and as shown in fig. 3, the embodiment of the present invention describes an agricultural pollution management system from another dimension, and the system includes a sensing execution layer, a transport network layer, a data storage and service layer, an application support layer, an application layer, and an interaction display layer.
The construction content of the perception execution layer mainly comprises installation and debugging of data acquisition terminal equipment and video monitoring equipment. The data acquisition terminal equipment is a group of wireless terminal equipment integrating data acquisition and wireless communication functions, and is a front-end core device forming the agricultural waste management system. As can be seen from FIG. 1, the sensing and execution layer mainly comprises an online meter, a PCL system, an online detection device, a video monitor and other third-party devices. All be provided with online instrument and PCL system in processing station, pump station and the purification groove, wherein, the PLC system is used for gathering the data of online instrument. The video monitoring is realized through the arranged camera.
And the transmission network layer uploads the data to a cloud server for being called by an upper application system through 4G/5G transmission in a mobile private network directional flow mode.
The data service layer can store data, collect data in real time, push data in real time, share and exchange data, and analyze big data.
The application supporting layer comprises an agricultural sewage pipe network model, an agricultural sewage operation and maintenance model, a geographic information system platform and a cooperative management platform. And establishing a rural sewage pipe network model by combining point location information laid by the pump station on the basis of the rural sewage pipe network. The agricultural sewage pipeline network model comprises a topological relation of positions of all pump stations, the starting condition of each pump station is that no fault exists in a downstream pump station, when a certain pump station breaks down or stops running, the pump station is accurately positioned to each pump station at the upstream of the station based on the topological relation between the pump station and a pipeline network, and the pump station at the upstream of the station can stop working by combining a pump station working rule set in the agricultural sewage pipeline network model in advance, so that the overflow of sewage is prevented, and secondary pollution is caused. The working rule of the pump station can be that the downstream pump station is out of order and the upstream pump station is suspended; the starting condition of the pump is that no downstream pump station has a fault. The agricultural sewage operation and maintenance model is built by combining multiple advanced technologies such as big data analysis, artificial intelligence and the like on the basis of rural sewage operation and maintenance management processes. Through analyzing the failure alarm frequency of the equipment, an inspection plan list and a scheduling scheme are intelligently formed, intelligent scheduling automatically dispatches the list to the operation and maintenance personnel nearest to the failure point, the solution of an automatic scheduling knowledge base is referred by the operation and maintenance personnel, and through big data analysis of various failure processing schemes, the optimal operation and maintenance treatment scheme is found out, so that the agricultural and sewage operation and maintenance management work can be realized with high efficiency and low cost.
The geographic information system platform displays the intelligent agricultural pollution comprehensive information in a one-map and two-three-dimensional integrated mode based on a two-dimensional map, a satellite map, a street view map, a CAD engineering drawing and a configuration drawing.
The collaborative management platform comprises a workflow engine, a search engine, an intelligent report service, a system log service and a portal management service.
The application layer is a system function unit provided by the agricultural pollution management system and used for a user to use, and mainly comprises comprehensive monitoring management, intelligent scheduling management, intelligent operation and maintenance management, intelligent operation management, intelligent situation perception, inspection APP, service public numbers and WeChat small programs.
The display layer is a multi-channel display mode provided for users by the system, can use a PC client and a mobile terminal to access the system, can support large-screen release, and visually presents comprehensive operation conditions of agricultural and sewage integrated processing equipment, a pump station and a purification tank in the jurisdiction.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
In addition, units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
Furthermore, the functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
In this document, 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.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims (10)

1. An agricultural waste management system, comprising: the system comprises a site monitoring device, a cloud server, a monitoring center and an operation and maintenance terminal; wherein:
the site monitoring device is arranged at each monitoring site and used for acquiring the agricultural pollution data of the monitoring site and uploading the agricultural pollution data to the cloud server through a network;
the cloud server is used for storing the agricultural pollution data, judging whether the working state of the monitoring station is abnormal or not according to the agricultural pollution data, and sending maintenance information to the operation and maintenance terminal under the condition of abnormality;
the monitoring center is used for sending a data acquisition request to the cloud server through a network and receiving the agricultural pollution data returned by the cloud server.
2. The system according to claim 1, wherein the station monitoring apparatus comprises: a video capture device;
the video acquisition equipment is used for acquiring video data of the corresponding monitoring station.
3. The system of claim 2, wherein the site monitoring device further comprises a gateway;
processing station monitoring equipment corresponding to a processing station in the monitoring stations, pump station monitoring equipment corresponding to a pump station and purification tank monitoring equipment corresponding to a purification tank are respectively connected with corresponding gateways through a PLC system;
the gateway is used for sending the working state of the processing station, the working state of the pump station and the working state of the purification tank to the cloud server.
4. The system according to claim 2, wherein the video capture device is a camera with wireless communication function, and the camera transmits the captured video data to the cloud server.
5. The system of claim 1, wherein the monitoring center comprises: the display device and the working terminal are in communication connection; the display device and the working terminal are in communication connection with the cloud server;
the working terminal is used for sending a data acquisition request to the cloud server and receiving the agricultural pollution data sent by the cloud server;
the display device is used for displaying the agricultural pollution data.
6. The system of claim 1, further comprising a sub monitoring center; the sub monitoring center comprises a working terminal; and the system is used for acquiring the agricultural pollution data from the cloud server so as to realize monitoring of each monitoring station.
7. The system according to claim 1, wherein the cloud server further stores position information of pump stations corresponding to each monitoring station, and generates a corresponding pump station topology network according to the position information.
8. The system of claim 3, wherein the agricultural pollution data comprises water quality data and purification tank information corresponding to the water quality data; the cloud server is specifically used for sending a water quality abnormity alarm to the operation and maintenance terminal if the water quality data does not meet the preset requirement, wherein the water quality abnormity alarm comprises the information of the purification tank.
9. The system according to claim 3, wherein the agricultural sewage data comprises pump station working state information and corresponding position information of a pump station; the cloud server is specifically configured to send a pump station abnormality alarm to the operation and maintenance terminal if the pump station working state information is abnormal, where the pump station abnormality alarm includes the position information of the pump station.
10. The system according to claim 3, wherein the cloud server is further configured to remotely control starting and stopping of each pump station in case that the pump station working state information is abnormal.
CN202021289974.3U 2020-07-02 2020-07-02 Agricultural sewage management system Active CN212990152U (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
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CN115439948A (en) * 2022-07-22 2022-12-06 大连莱立佰信息技术有限公司 Pump station intelligent inspection method based on image recognition and process video linkage
CN116260840A (en) * 2023-02-02 2023-06-13 北京英诺格林科技有限公司 Intelligent inspection early warning maintenance system of water treatment facilities

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115439948A (en) * 2022-07-22 2022-12-06 大连莱立佰信息技术有限公司 Pump station intelligent inspection method based on image recognition and process video linkage
CN116260840A (en) * 2023-02-02 2023-06-13 北京英诺格林科技有限公司 Intelligent inspection early warning maintenance system of water treatment facilities

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