Rural domestic sewage intelligent treatment system and method based on Internet of Things and big data

Abstract

The invention provides an intelligent rural domestic sewage treatment system and method based on the Internet of Things and big data, and the system comprises a data collection system which is used for collecting the original data of rural domestic sewage in real time through a sensing device installed on a sewage treatment facility in a target region; the data processing system is used for receiving the rural domestic sewage original data sent by the data acquisition system and storing, analyzing and processing the rural domestic sewage original data; the intelligent control management system is used for intelligently controlling the sewage treatment facility according to the analysis result of the data processing system and automatically adjusting the operation parameters of the sewage treatment facility; and the user interaction system is used for providing sewage treatment data, control results and other contents for a user in real time through a client terminal and an interaction window, and manually adjusting control parameters. The sewage treatment process can be intelligently controlled in combination with big data analysis, so that the sewage treatment efficiency is improved, and the environment is protected.

Description

Technical Field

[0001] The present application belongs to the fields of environmental protection engineering, Internet of Things technology and big data analysis technology, and relates to a sewage treatment system, and in particular to a rural domestic sewage intelligent treatment system and method based on the Internet of Things and big data. Background Art

[0005] Traditional sewage treatment methods often rely on manual monitoring and adjustment, which is inefficient and difficult to achieve precise control.

[0006] At present, there are still some problems in the treatment of domestic sewage. The details are as follows:

[0007] (1) The task of governance is heavy and centralized collection and treatment is difficult. Due to the vast land and sparse population in rural areas and the scattered residence, it is difficult to collect and treat domestic sewage in a centralized manner. In addition, for farmers living in relatively scattered areas, it is not feasible to centrally treat sewage by laying sewage pipes, and the cost of decentralized construction of facilities is too high.

[0008] (2) The centralized sewage collection effect is not ideal and the operation of facilities cannot be guaranteed. Due to problems with the design and technology of septic tanks in the early stage, as well as the changes in water consumption caused by the high mobility of rural population, the built treatment facilities cannot operate normally, affecting the treatment effect.

[0009] (3) The operation and maintenance of the completed facilities are not ideal. The lack of professional operation and maintenance personnel and financial support in rural areas has led to damage to facilities and untimely maintenance, affecting the normal operation and treatment effect of the facilities. Because the operation and maintenance management of rural domestic sewage treatment facilities often lacks professionalism and systematization, there are problems such as high operation and maintenance costs, low efficiency, and inadequate supervision. In addition, due to the lack of an effective operation and maintenance mechanism after the completion of some facilities, the facilities are idle or the operation effect is poor, making it difficult to play the due treatment role.

[0010] Therefore, in the existing domestic sewage treatment technology, how to provide a system that can intelligently control and efficiently treat rural domestic sewage is a problem that needs to be solved urgently. Summary of the invention

[0011] In view of the shortcomings of the prior art mentioned above, the purpose of this application is to provide a rural domestic sewage intelligent management system and method based on the Internet of Things and big data, which is used to solve the technical problems in the existing domestic sewage treatment technology, that is, due to the lack of effective sewage treatment measures, sewage is directly discharged into natural water bodies such as rivers and lakes, thereby causing serious impact on the environment; and traditional sewage treatment methods rely too much on manual monitoring and adjustment, resulting in low efficiency and difficulty in achieving precise control.

[0012] In the first aspect, the present application provides a rural domestic sewage smart management system based on the Internet of Things and big data, the system comprising: a data acquisition system, a data processing system, an intelligent control management system and a user interaction system; the data acquisition system is used to collect rural domestic sewage raw data in real time through sensor equipment installed on sewage treatment facilities in the target area; the data processing system is connected to the data acquisition system, and is used to receive the rural domestic sewage raw data sent by the data acquisition system, and store, analyze and process the rural domestic sewage raw data; the intelligent control management system is connected to the data processing system, and is used to intelligently control sewage treatment facilities according to the analysis results of the data processing system, and automatically adjust the operating parameters of sewage treatment equipment; the user interaction system is connected to the intelligent control management system, and is used to provide sewage treatment information to users in real time through client terminals and interactive windows, and manually adjust control parameters, and finally complete the smart management process of rural domestic sewage; the sewage treatment information includes: sewage treatment data and control results.

[0013] In an implementation of the first aspect, the data acquisition system includes: an Internet of Things business perception module and an infrastructure module; the Internet of Things business perception module is used to obtain the original data of rural domestic sewage in the target area, and realize the collection and access of data on pump status, electricity, liquid level, flow, and video surveillance of agricultural sewage facilities; the rural domestic sewage original data includes: any one or more combinations of sewage flow, liquid level, water quality, energy consumption, and environmental data; the infrastructure module is connected to the Internet of Things perception module, and is used to transmit the rural domestic sewage original data to the data processing system.

[0014] In an implementation of the first aspect, the IoT business perception module includes: an IoT access management unit, a monitoring sensor, and a monitoring camera probe; the IoT access management unit is used to collect the rural domestic sewage raw data obtained in real time and upload it to a cloud service end; the monitoring sensor is used to obtain the rural domestic sewage raw data in real time; the monitoring sensor includes: a combination of any one or more of a liquid level sensor, a flow sensor, a pressure sensor, a water quality detector, and an electric energy meter; the monitoring camera probe is used to obtain video surveillance images of agricultural sewage facilities in a target area in real time.

[0015] In an implementation of the first aspect, the infrastructure module is used to provide hardware and network support and data transmission for the system; the infrastructure module includes: a communication network transmission unit, a server unit, a disaster recovery unit, a storage unit, and a security management unit; the communication network transmission unit is used to transmit the operating data and video data of the sewage treatment plant to the agricultural pollution operation and supervision center via 4G and a dedicated line; the communication network transmission unit includes: 4G communication transmission, 5G communication transmission, and dedicated line transmission.

[0016] In an implementation of the first aspect, the data processing system includes: a data resource module and a support service module; the data resource module is used to realize unified storage management, collection, data maintenance and update of data; the data resource module includes: any one or more combinations of basic information database module, geographic space database module, operation monitoring database module, operation and maintenance management database module, and interactive sharing database module; the support service module is used for application support platform services; the support service module includes: data service platform, GIS map service, Internet of Things platform service, and unified user management service.

[0017] In an implementation of the first aspect, the intelligent control and management system includes: a business application module; the business application module is used to build an agricultural pollution comprehensive supervision platform around the three aspects of government supervision, enterprise operation and maintenance management, and public participation, and provide business application function modules for the entire process of rural sewage treatment operation and maintenance, so as to enable the system to save energy, reduce costs, and improve efficiency; the business application module includes: an operation monitoring unit, an alarm management unit, a video monitoring unit, a remote control unit, an operation and maintenance management unit, a water quality detection management unit, an agricultural pollution asset management unit, a pipe network management unit, and an operation statistics analysis unit. Any one or more combinations thereof.

[0018] In an implementation of the first aspect, the alarm management unit is used to match the alarm information corresponding to the alarm position with the alarm rule based on the abnormal operation of the agricultural pollution site, and send an alarm signal, and send the alarm information to the corresponding management personnel at the same time; the alarm management unit includes: any one or more combinations of alarm reminder, alarm information display, alarm event verification, processing, alarm release, alarm contact management, alarm type statistics, and alarm list viewing; the operation monitoring unit is used to monitor the operation of the equipment and facilities of the agricultural pollution treatment site in real time, and to query, display and export the facility operation condition data; the monitoring indicators of the operation monitoring unit include: power equipment operation status data, water volume data, energy consumption data, and water quality data; the video monitoring unit is used to monitor and manage the on-site monitoring screen of agricultural pollution facilities and equipment in real time; the monitoring content of the video monitoring unit includes: any one or more combinations of real-time carousel display, viewing, abnormal reminder, monitoring history screen playback, and video monitoring equipment management of the on-site monitoring screen of agricultural pollution facilities and equipment; the remote control unit is used to monitor and manage the on-site monitoring screen of agricultural pollution facilities and equipment according to the analysis results of the data processing center , to intelligently control sewage treatment facilities; the remote control unit includes: any one or more combinations of agricultural sewage facility operation process flow chart, real-time operation data display, curve analysis, real-time display of facility equipment control status, and remote control management of facilities and equipment; the operation and maintenance management unit is used to manage the agricultural sewage facility inspection work carried out daily by agricultural sewage operation and maintenance units, and to manage the entire operation and maintenance process from the formulation of operation and maintenance work plans to task execution, problem discovery, and work order processing and disposal, and form an operation and maintenance ledger; the operation and maintenance management unit includes: operation and maintenance plan management, work order management, route management, operation and maintenance system Any one or more combinations of planning and analysis, operation and maintenance units and personnel management; the water quality detection management unit is used to conduct water quality detection of agricultural sewage pipe networks and agricultural sewage facilities by regular and temporary sampling of agricultural sewage operation and maintenance and supervision units and entrusting third-party testing agencies, and then uniformly summarize, manage, count and display them through the system; the pipe network management unit is used to display and manage the spatial distribution of sewage pipe networks, terminal integrated pump stations and agricultural sewage treatment facilities within the operation and maintenance scope; the pipe network management unit includes: map roaming, pipe network query statistics, pipe network data management, and pipe network defect management.

[0019] In an implementation of the first aspect, the user interaction system includes: a comprehensive display module and a user management module; the comprehensive display module is used to visualize the agricultural pollution operation and maintenance work overview in the target area by establishing a large-screen display system in an agricultural pollution operation monitoring center; the user management module is used to establish a trust and credential verification mechanism according to user application requirements to ensure the uniqueness of user identity, and it is necessary to provide two-way identity authentication between users and service providers.

[0020] In an implementation of the first aspect, the client terminal includes: a mobile terminal and a large-screen terminal; the mobile terminal is used to meet the business application requirements of operation and maintenance supervisors to grasp the agricultural pollution operation and maintenance work status and perform transaction processing through the mobile terminal device corresponding to the comprehensive agricultural pollution supervision system, real-time positioning of on-site operation and maintenance personnel, reporting of on-site facility and equipment operation status and faults, and mobile reporting of patrol operation and maintenance work through mobile devices; the mobile terminal can be a computer, tablet, or mobile phone; the large-screen terminal is a fixed terminal, which is used for real-time video display, switching, and management through large-screen devices, as well as real-time alarm, reminder, and disposal when multiple agricultural pollution facilities operate abnormally.

[0021] On the second aspect, the present application provides a method for intelligent management of rural domestic sewage based on the Internet of Things and big data, including the following steps: obtaining real-time original data of rural domestic sewage in the target area; receiving the original data of rural domestic sewage, and analyzing and processing the original data of rural domestic sewage to obtain pre-treated sewage treatment data; performing remote intelligent control based on the pre-treated sewage treatment data; providing users with real-time sewage treatment data and control result information through client terminals, so that users can understand the sewage treatment situation and manually adjust control parameters.

[0022] As described above, the rural domestic sewage intelligent management system and method based on the Internet of Things and big data described in this application has the following beneficial effects:

[0023] The rural domestic sewage smart management system based on the Internet of Things and big data adopted in this application realizes real-time monitoring and data collection of sewage treatment facilities through the Internet of Things technology, and intelligently controls the sewage treatment process in combination with big data analysis, thereby improving sewage treatment efficiency and protecting the environment. This application uses the Internet of Things technology to collect the operating data of sewage treatment facilities in real time to ensure the accuracy and real-time nature of the data; combined with big data analysis technology, it can realize intelligent control of the sewage treatment process and improve the management efficiency; through the user interaction module, users can easily view sewage treatment data and control results, and can also manually adjust control parameters, which is easy to operate; by accurately controlling the operating parameters of sewage treatment equipment, it can reduce energy consumption, reduce the impact on the environment, and achieve the technical effect of energy saving and environmental protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 Shown is a schematic diagram of the overall structure of the rural domestic sewage smart management system based on the Internet of Things and big data as described in an embodiment of the present application.

[0025] Figure 2 Shown is a schematic diagram of the overall architecture of an embodiment of the method for intelligent treatment of rural domestic sewage based on the Internet of Things and big data as described in an embodiment of the present application.

[0026] Figure 3 Shown is a functional diagram of the Internet of Things platform in one embodiment of the rural domestic sewage smart management system based on the Internet of Things and big data described in an embodiment of the present application.

[0027] Figure 4 Shown is a schematic diagram of the data flow of the Internet of Things platform in one embodiment of the rural domestic sewage smart management system based on the Internet of Things and big data described in an embodiment of the present application.

[0028] Figure 5 Shown is a schematic diagram of on-site network communication transmission in one embodiment of the rural domestic sewage smart management system based on the Internet of Things and big data described in an embodiment of the present application.

[0029] Figure 6 Shown is a network topology diagram of the agricultural pollution supervision center in one embodiment of the rural domestic sewage intelligent management system based on the Internet of Things and big data described in an embodiment of the present application.

[0030] Fig. 7A Shown is a schematic diagram showing an alarm management unit in one embodiment of the present application.

[0031] Figure 7B Shown is a schematic diagram showing an operation monitoring unit in an embodiment of the present application.

[0032] Figure 7C Shown is a schematic diagram showing a video surveillance unit in one embodiment of the present application.

[0033] Fig. 8A Shown is a schematic diagram of the monitoring command center effect in one embodiment of the present application.

[0034] Figure 8B Shown is a schematic diagram of a conference room effect in one embodiment of the present application.

[0035] Figure 8C Shown is a topological diagram of an LED display screen control system in one embodiment of the present application.

[0036] Fig. 9 Shown is a schematic diagram of the overall process of the smart rural domestic sewage treatment method based on the Internet of Things and big data described in an embodiment of the present application.

[0037] Fig.10 Shown is a schematic diagram of the system structure flow in the smart rural domestic sewage treatment method based on the Internet of Things and big data described in an embodiment of the present application.

[0038] Component number description

[0039] 1 Smart rural domestic sewage treatment system based on the Internet of Things and big data

[0040] 11 Data Acquisition System

[0041] 12 Data Processing System

[0042] 13 Intelligent control management system

[0043] 14 User Interaction System

[0044] 111 IoT Business Perception Module

[0045] 112 Infrastructure Module

[0046] 1111 Internet of Things Access Management Unit

[0047] 1112 Monitoring Sensor

[0048] 1113 Monitoring Camera Probe

[0049] 1121 Communication Network Transmission Unit

[0050] 1122 Server Units

[0051] 1123 Disaster Recovery Unit

[0052] 1124 storage units

[0053] 1125 Security Control Unit

[0054] 121 Data Resource Module

[0055] 122 Support service module

[0056] 131 Business Application Module

[0057] 1311 Operation Monitoring Unit

[0058] 1312 Alarm Management Unit

[0059] 1313 Video Surveillance Unit

[0060] 1314 Remote Control Unit

[0061] 1315 Operation and Maintenance Management Unit

[0062] 1316 Water Quality Testing Management Unit

[0063] 1317 Agricultural Pollution Asset Management Unit

[0064] 1318 Pipeline Network Management Unit

[0065] 1319 Operational Statistics Analysis Unit

[0066] 141 Comprehensive display module

[0067] 142 User Management Module

[0068] 15 Client Terminal

[0069] 151 Mobile Terminal

[0070] 152 Large screen terminal DETAILED DESCRIPTION

[0071] The following describes the embodiments of the present application through specific examples, and those skilled in the art can easily understand other advantages and effects of the present application from the contents disclosed in this specification. The present application can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0072] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present application, and thus the drawings only show components related to the present application rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed at will, and the component layout may also be more complicated.

[0073] The following embodiments of the present application provide a rural domestic sewage smart management system based on the Internet of Things and big data. The main architecture of the system consists of a data acquisition system, a data processing system, an intelligent control management system, and a user interaction system. The main implementation process of the system: First, it is necessary to install sensors on the sewage treatment facilities to build an Internet of Things data acquisition module. Then, a data processing center is established to receive and process the data collected by the sensor. Then, according to the analysis results of the data processing center, the sewage treatment facilities are intelligently controlled through the intelligent control module. Finally, the user is provided with real-time sewage treatment data and control results through the user interaction module. This application can collect the operation data of sewage treatment facilities in real time through the Internet of Things technology to ensure the accuracy and real-time nature of the data; combined with big data analysis, it can realize intelligent control of the sewage treatment process and improve the management efficiency; through the user interaction module, users can easily view the sewage treatment data and control results, and can also manually adjust the control parameters, which is easy to operate; by accurately controlling the operating parameters of the sewage treatment equipment, it can reduce energy consumption, reduce the impact on the environment, and achieve the purpose of energy saving and environmental protection; it has great flexibility and high reliability, and reduces the investment cost, effectively improving the economic benefits.

[0074] The following will describe in detail the principles and implementation methods of a smart rural domestic sewage management system based on the Internet of Things and big data in conjunction with the accompanying drawings, so that those skilled in the art can understand the smart rural domestic sewage management system based on the Internet of Things and big data in this embodiment without creative work.

[0075] See also Figure 1 and Figure 2 , respectively showing the overall structural diagram of the rural domestic sewage smart treatment system based on the Internet of Things and big data described in the embodiment of this application and the overall structural diagram of the rural domestic sewage smart treatment method based on the Internet of Things and big data described in the embodiment of this application in one embodiment. Figure 1 and Figure 2 As shown, the smart rural domestic sewage management system 1 based on the Internet of Things and big data includes: a data acquisition system 11, a data processing system 12, an intelligent control management system 13 and a user interaction system 14.

[0076] The data acquisition system 11 is used to collect the original data of rural domestic sewage in real time through the sensor equipment installed on the sewage treatment facilities in the target area; the data processing system 12 is connected to the data acquisition system 11, and is used to receive the original data of rural domestic sewage sent by the data acquisition system 11, and store, analyze and process the original data of rural domestic sewage; the intelligent control management system 13 is connected to the data processing system 12, and is used to intelligently control the sewage treatment facilities according to the analysis results of the data processing system 12, and automatically adjust the operating parameters of the sewage treatment equipment; the user interaction system 14 is connected to the intelligent control management system 13, and is used to provide sewage treatment information to users in real time through the client terminal and the interactive window, and manually adjust the control parameters, and finally complete the intelligent treatment process of rural domestic sewage. Among them, the sewage treatment information includes: sewage treatment data and control results.

[0077] The data collection system 11 includes: an IoT service perception module 111 and an infrastructure module 112 .

[0078] See also Figure 3 and Figure 4 .

[0079] The IoT business sensing module 111 is used to obtain the original data of rural domestic sewage in the target area, and realize the collection and access of data such as pump status, electricity, liquid level, flow, video monitoring, etc. of agricultural sewage facilities. The original data of rural domestic sewage includes but is not limited to: sewage flow, liquid level, water quality, energy consumption, environmental data, etc.

[0080] The infrastructure module 112 is connected to the IoT sensing module and is used to transmit the original data of rural domestic sewage to the data processing system 12 .

[0081] The IoT service perception module 111 includes: an IoT access management unit 1111, a monitoring sensor 1112, and a monitoring camera probe 1113. The IoT access management unit 1111 is used to collect the rural domestic sewage raw data obtained in real time and upload it to the cloud service end; the monitoring sensor 1112 is used to obtain the rural domestic sewage raw data in real time; the monitoring sensor 1112 includes but is not limited to: liquid level sensor, flow sensor, pressure sensor, water quality detector, electric energy meter and other measuring equipment; the monitoring camera probe 1113 is used to obtain the video monitoring screen of the agricultural sewage facility site in the target area in real time.

[0082] In one embodiment of the present application, the monitoring sensor 1112 is configured and installed at each monitoring point within the target area, and corresponding automated monitoring equipment and facilities are installed.

[0083] Specifically, according to the actual needs of users for domestic sewage treatment, data from each monitoring point in the target area are collected. Sewage treatment mainly includes three types of data: physical indicators, chemical indicators and biological indicators. Among them, the physical indicators mainly include: suspended solids, odor, water temperature, chromaticity, etc.; the chemical indicators mainly include: pH value, COD (chemical oxygen demand), BOD (biochemical oxygen demand), total nitrogen (TN), ammonia nitrogen (NH3-N), nitrate nitrogen (NO3-N), nitrite nitrogen (NO2-N), total phosphorus (TP), oil and grease, etc.; the biological indicators mainly include: total bacteria and coliform count, etc.

[0084] Therefore, for different indicators, corresponding measuring equipment needs to be installed at different sampling ports for measurement.

[0085] For example: flow measurement at the wastewater treatment outlet requires the installation of a flow sensor; monitoring of inlet water quality, monitoring of sewage water quality, etc.

[0086] The Internet of Things access management unit 1111 is used to collect the rural domestic sewage raw data obtained in real time and upload it to the cloud service end. The Internet of Things access management unit 1111 is a key component in the Internet of Things architecture, and it undertakes the important tasks of data aggregation and transmission.

[0087] Specifically, IoT access units usually support multiple IoT protocols, such as RFID, BLE, ZigBee, LoRaWAN, UWB, etc., to meet the needs of different application scenarios. Its installation method is flexible and supports multiple installation methods to adapt to different on-site environments. IoT access units can transmit data back to the transport layer through Ethernet, Wi-Fi and other methods, reducing the difficulty and cost of equipment deployment.

[0088] The monitoring camera probe 1113 is a ball camera device installed at the sewage treatment site according to the actual situation on site. The specific number of installations can be adjusted according to actual needs. The monitoring camera probe 1113 can realize the connection of multiple stations based on the industrial Internet of Things technology, and can be networked through a dedicated line or VPN. All plants and stations can realize centralized monitoring, unified scheduling control and mobile management on the centralized monitoring platform. Once an abnormal operation is found, early warning and alarm information will be issued immediately and sent to relevant personnel through APP push or WeChat. At the same time, fault diagnosis and risk prediction can be carried out by retrieving the video surveillance footage of the corresponding monitoring point, forming an integrated linkage mechanism of monitoring, alarm and diagnosis.

[0089] Specifically, by accessing the surveillance video of the site and the surrounding environment, the camera itself should have the ability to detect motion and monitor and associate infrared alarms. Staff can view the on-site video in real time through the system and manage the alarms and snapshot records pushed by the video.

[0090] For example: the main functions of monitoring cameras include: video surveillance, video playback, image wall display, centralized storage, electronic maps, alarm linkage, system integration, authority control, equipment inspection and log recording; special functions include bandwidth control strategy, streaming media load balancing, video slicing playback, effective reduction of false alarms, integrated client, security system integration, multiple electronic maps, intelligent equipment inspection, intelligent video inspection, video quality diagnosis and other functions.

[0091] It should be noted that the video codec of the monitoring probe here should adopt the MPEG-4 / H.264 standard; the audio codec should adopt the G.711 / G.729 / AMR standard. The platform supports the access of video streams in mainstream encoding formats. The monitoring equipment supports access of PC-DVR, embedded DVR, DVS, NVR and other types, and is compatible with mainstream brands at home and abroad.

[0092] The infrastructure module 112 is used to provide hardware and network support and data transmission for the system.

[0093] The infrastructure module 112 includes: a communication network transmission unit 1121 , a server unit 1122 , a disaster recovery unit 1123 , a storage unit 1124 , and a security management and control unit 1125 .

[0094] See also Figure 5 and Figure 6 .

[0095] In this embodiment, the communication network transmission unit 1121 is used to transmit the working data and video data of the sewage treatment station to the agricultural sewage operation and supervision center through 4G and dedicated lines. The communication network transmission unit 1121 includes: 4G communication transmission, 5G communication transmission, and dedicated line transmission.

[0096] Specifically, the communication network transmission unit 1121 transmits the working data and video data of the sewage treatment station to the agricultural pollution operation and supervision center through 4G / dedicated line. Among them, the key sewage treatment stations involved in the demonstration are transmitted to the agricultural pollution operation and supervision center through data dedicated lines, and the others are transmitted through 4G communication.

[0097] The data processing system 12 includes: a data resource module 121 and a support service module 122 .

[0098] The data resource module 121 is used to realize unified storage management, collection, data maintenance and update of data. The data resource module 121 includes but is not limited to: basic information database module, geographic space database module, operation monitoring database module, operation and maintenance management database module, interactive sharing database module and other contents.

[0099] In this embodiment, the data resource module 121 receives, stores, analyzes and processes the data transmitted by the IoT data acquisition system 11. By mining and analyzing historical data and real-time data, the laws and trends of the sewage treatment process are found to provide a decision-making basis for intelligent control.

[0100] Specifically, the basic information database module mainly includes: sewage treatment facility information (such as: facility name, construction time, treatment capacity, treatment process, investment amount, construction unit, etc.), operation status data (such as: real-time data, operation records, maintenance records, etc.), monitoring result records (such as: water quality monitoring, environmental monitoring, abnormal reports, etc.), operation and maintenance personnel information (such as: personnel list, division of responsibilities, etc.), geographical location information (such as: longitude and latitude coordinates, surrounding environment description, traffic conditions, etc.), governance model classification (such as: centralized treatment, decentralized treatment, ecological governance, etc.), governance effectiveness evaluation (such as: water quality improvement, environmental benefits, social benefits, etc.) and other information.

[0101] Another example: Establish a geospatial database module, and combine the relevant information of rural domestic sewage treatment with geospatial data through GIS (geographic information system) technology to achieve data visualization, spatial analysis and decision support. For example: Use relational database or non-relational database (such as GeoDatabase, etc.) to build a database architecture to ensure efficient storage and query of geospatial data; design data table structure according to data requirements, including facility information table, monitoring data table, operation and maintenance personnel information table, geographic location information table, etc. Each table should contain necessary fields and indexes to improve query efficiency; use GIS spatial data model to describe geospatial data, and closely combine spatial information and attribute information. Use geometric figures such as points, lines, and surfaces to represent facility locations, river distribution, topography, etc.; import cleaned and standardized data into the database and store it according to the designed table structure and spatial data model.

[0102] The support service module 122 is used for application support platform services, including: data service platform, GIS map service, Internet of Things platform service, and unified user management service.

[0103] The intelligent control and management system 13 includes: a business application module 131. The business application module 131 is used to build an integrated agricultural pollution supervision platform around the three aspects of government supervision, enterprise operation and maintenance management, and public participation, and provide business application function modules for the entire process of rural sewage treatment operation and maintenance, so as to enable the system to save energy consumption, reduce costs, and improve efficiency.

[0104] See also Figures 7A to 8C .

[0105] The business application module 131 includes but is not limited to: an operation monitoring unit 1311, an alarm management unit 1312, a video monitoring unit 1313, a remote control unit 1314, an operation and maintenance management unit 1315, a water quality detection management unit 1316, an agricultural pollution asset management unit 1317, a pipe network management unit 1318, an operation statistics analysis unit 1319 and other processing units with multiple functions.

[0106] In this embodiment, the alarm management unit 1312 is used to match the alarm information corresponding to the alarm location with the alarm rule based on the abnormal operation of the agricultural pollution site, and send an alarm signal, and send the alarm information to the corresponding management personnel. The alarm management unit 1312 includes but is not limited to: alarm reminder, alarm information display, alarm event verification, processing, alarm cancellation, alarm contact management, alarm type statistics, alarm list viewing, etc.

[0107] Specifically, based on the map, the abnormal operation of agricultural pollution stations is displayed through pop-up windows, sounds, screen flickering, etc., including the location of abnormal operation stations, alarm information type, alarm information value, and alarm duration. By selecting the alarm type, street, administrative village, site category, and alarm time to filter the alarm list content, you can view the alarm information corresponding to the current conditions. Click on the alarm details to view detailed alarm panel information, data curves, and threshold settings. The right side of the panel is the processing personnel related to the alarm, who can be contacted in time by phone. Support the issuance of alarm forwarding strategies through the alarm center (when data abnormalities occur, the pre-alarm information will be forwarded to relevant personnel through mobile clients or mobile phone text messages). The system centrally displays the alarm information to be processed, records the alarm processing information and confirmation information, and queries historical alarm data. And it can classify and statistically display alarm categories such as water quality, water volume, and equipment operating conditions.

[0108] The operation monitoring unit 1311 is used to monitor the operation of the equipment and facilities of the agricultural waste treatment site in real time, and to query, display and export the operation condition data of the facilities. The monitoring indicators of the operation monitoring unit 1311 include but are not limited to: power equipment operation status data, water volume data, energy consumption data, water quality data, etc.

[0109] Specifically, the operation monitoring unit 1311 can query, display and export the facility operation condition data, including historical data query, equipment information, equipment alarm records, etc.

[0110] For example: management of basic information of monitoring sites (location, name, number, etc.), monitoring equipment information (model, manufacturer, specifications, etc.), monitoring indicator information, etc.; monitoring sites can be added (can be navigated, searched, and located on the map), deleted, modified, and checked (can be queried by town, village, site type, monitoring indicator, etc.), and records of added, deleted, and modified information maintenance can be maintained.

[0111] The video monitoring unit 1313 is used to monitor and manage the on-site monitoring images of agricultural pollution control facilities in real time. The monitoring content of the video monitoring unit 1313 includes but is not limited to: real-time carousel display, viewing, abnormal reminder, monitoring history image playback, video monitoring equipment management, etc.

[0112] Specifically, the platform can display real-time video surveillance images of sites equipped with video surveillance equipment, allowing users to query conditions, display, and grasp the on-site operation status of facilities in real time. It can also perform image capture, remote camera control, video playback, and video surveillance site equipment information query.

[0113] The remote control unit 1314 is used to intelligently control the sewage treatment facilities according to the analysis results of the data processing center. The remote control unit 1314 includes but is not limited to: agricultural sewage facility operation process flow chart, real-time operation data display, curve analysis, real-time display of facility equipment control status, remote control management of facilities and equipment, etc.

[0114] Specifically, the platform can be used to view the process operation data of agricultural pollution facilities in real time, remotely control, remotely set and adjust the operation parameters, select the process operation mode of equipment and facilities, and set and modify the data transmission frequency of monitoring equipment.

[0115] (1) Start and stop control of agricultural sewage facilities

[0116] Through the remote control center, you can directly view the operating parameters and status of the front-end equipment, and perform remote control, including starting and stopping power equipment such as pumps and fans, and configure and restart gateway equipment.

[0117] (2) Operation parameter control

[0118] Based on the accessed monitoring data, such as water volume and water quality, the equipment operating process parameters can be adjusted, and a group of process equipment can be started, shut down or adjusted remotely, and remotely controlled and set.

[0119] (3) Operation mode management

[0120] The operation modes of agricultural sewage treatment facilities and integrated pumping stations can be selected and adjusted under different water inlet conditions, including normal, low load, high load, emergency and other modes.

[0121] (4) Remote settings

[0122] The frequency of data collection and upload of monitoring equipment can be set remotely.

[0123] The operation and maintenance management unit 1315 is used to manage the daily inspection of agricultural pollution facilities carried out by agricultural pollution operation and maintenance units, and the entire operation and maintenance process from the formulation of operation and maintenance work plans to task execution, problem discovery and work order processing and disposal, and form an operation and maintenance ledger. The operation and maintenance management unit 1315 includes: operation and maintenance plan management, work order management, route management, operation and maintenance statistical analysis, operation and maintenance unit and personnel management, etc.

[0124] Specifically, the agricultural sewage operation and maintenance units and each operation and maintenance team in a certain area carry out daily agricultural sewage facility inspections, operation and maintenance, pipe network operation and maintenance, septic tank cleaning and other work, and manage the entire operation and maintenance process from the formulation of operation and maintenance work plans to task execution, problem discovery and work order processing and disposal, forming an operation and maintenance ledger. Specific functions include: operation and maintenance plan management, work order management, route management, operation and maintenance statistical analysis, operation and maintenance unit and personnel management. Details are as follows:

[0125] (1) Operation and maintenance plan management

[0126] According to the operation and maintenance guidance plan of the operation and maintenance unit, inspection and maintenance plans can be formulated on an annual, quarterly, or monthly basis, including the name, type, inspection area and facilities, start time, end time, inspection content, etc. of the operation and maintenance plan. Plan templates are provided and fixed to the system (reducing the amount of information to be filled in manually), and information maintenance and management such as adding, modifying, and deleting the operation and maintenance plan can be performed. After the operation and maintenance plan is formulated, it can be distributed with one click or automatically distributed regularly.

[0127] For the operation and maintenance plans that have been dispatched and executed, you can view the dispatch and execution status of different types of plans such as repair / inspection / maintenance, upload execution attachments to illustrate the completion status of the task, and perform statistical analysis. It supports viewing methods such as BI reports.

[0128] (2) Work Order Management

[0129] It supports adding work orders related to specified equipment or pipelines, and records work order name, work order type, work order route, executor, work order execution time interval and other information. It can also add uploaded files or small videos and picture attachments for supplementary explanations; it supports list display or export of all work order information, such as work order status, work order name, organization type, expected start time, expected end time, executor, etc.; it supports viewing detailed processing status of work orders, such as flow information, flow charts, etc.; it supports marking key work orders; it supports copying and distributing historical plans and routes; it supports pushing work order information to mobile apps; it can query and download task reports based on time, type, executor, etc. The execution results of various work orders (planned work orders, emergency work orders) can be archived and managed, and reports can be viewed to form an operation and maintenance work ledger.

[0130] (3) Route management

[0131] It supports configuration of inspection routes, real-time positioning of on-site operation and maintenance staff and vehicles on maps, and query of inspection tracks to provide track query of inspection personnel.

[0132] (4) Operation and maintenance statistical analysis

[0133] The operation and maintenance of agricultural pollution is queried, counted and analyzed from multiple dimensions (district, town, village, facility, operation and maintenance unit, operation and maintenance personnel, etc.), and the statistical analysis results are presented intuitively in the form of reports, bar charts, etc. Specific analysis contents include

[0134] 1) Statistics can be collected on the amount and degree of completion of maintenance tasks performed by each maintenance unit, team, and individual in a week / month / quarter / year.

[0135] 2) It can count the regular (monthly / quarterly / annual) maintenance frequency and number of the operation and maintenance management objects, the number of various alarms, problems, and work orders, identify high-incidence points of problems, and provide feedback on whether the facilities are operating normally. It can also conduct statistical correlation analysis on fault alarms and operation and maintenance information, and gradually establish fault solutions to provide a basis for operation and maintenance management decisions, and conduct targeted inspections and repairs to solve key problems.

[0136] 3) Conduct statistical analysis and query on the energy consumption data of agricultural wastewater treatment facilities, and have the function of calculating the energy consumption data per ton of water.

[0137] 4) Conduct statistical analysis and query on the operation status of power equipment in treatment facilities, including statistical analysis functions of the start time, shut down time, operation time, start and stop times, fault conditions, maintenance status and power consumption of power equipment such as pumps and fans.

[0138] 5) It can count the water quality compliance rate in the area, pollutant emission reduction data, generate reports and export functions.

[0139] (5) Operation and maintenance unit and personnel management includes: personnel management and operation and maintenance unit and personnel information files.

[0140] 1) Personnel management: Rationally and quickly assign various inspection, maintenance, repair and testing tasks to the corresponding responsible persons and executors, ensure that all work is carried out in a planned manner, and schedule the operation and maintenance personnel.

[0141] 2) Due to the long operation period, the operation and maintenance units, labor outsourcing units, front-line operation and maintenance personnel, etc. will all change during this period. It is necessary to manage the operation and maintenance units and personnel information in a refined manner to form operation and maintenance personnel files.

[0142] a) Finely divide the operation and maintenance personnel according to units, responsibilities and professions;

[0143] b) Relevant management personnel can query the information of water body operation and maintenance personnel (personnel information can be queried through different conditions, and the query results can be displayed in the form of a list), add, modify, delete, batch delete and other management and maintenance operations, and form information maintenance records.

[0144] The water quality detection management unit 1316 is used to conduct water quality detection of agricultural sewage pipe networks and agricultural sewage facility stations by regular and temporary sampling of agricultural sewage operation and maintenance and supervision units and by entrusting third-party detection agencies, and then uniformly summarize, manage, count and display them through the system.

[0145] Specifically, the system will centrally summarize, manage, count and display the water quality testing information of agricultural sewage pipe networks and agricultural sewage facilities stations conducted by agricultural sewage operation and maintenance and supervision units on a regular or temporary basis, as well as entrusted third-party testing agencies. It will provide water quality testing data reporting, summarization, abnormal reminders, confirmation, review, and sharing. It will establish a water quality database based on different dimensions such as regions, operation and maintenance units, testing objects and indicators, manage water quality testing data, and provide inquiries within the operation and maintenance units and the operation and maintenance management departments, and serve as a reference for assessment. For example:

[0146] (1) Summary of water quality test results: result reporting, recording, template filling, data reporting, and review.

[0147] (2) Sharing and sending of water quality test results: The test results of the operation and maintenance unit are reported to the operation and maintenance management unit. The water quality test results can be shared with one click and copied to relevant management personnel.

[0148] (2) Data query, statistics, and analysis: Water quality test result reports / database for query (according to district, area, town, village, testing point, etc.), statistical analysis (monthly, annual) of exceedance / abnormality rates.

[0149] (4) Historical detection database of each operation and maintenance unit.

[0150] (5) Third-party test report: The test report results can be scanned, archived, queried, and exported.

[0151] The pipe network management unit 1318 is used to display and manage the spatial distribution of sewage pipe networks, terminal integrated pumping stations, and agricultural sewage treatment facilities within the operation and maintenance scope; the pipe network management unit 1318 includes: map roaming, pipe network query statistics, pipe network data management, and pipe network defect management.

[0152] Specifically, functions such as pipeline network map, pipeline network query statistics, pipeline network data management, and pipeline network defect management can be designed to achieve full-cycle digital management of agricultural sewage pipelines in the target area.

[0153] The user interaction system 14 includes: a comprehensive display module 141 and a user management module 142 .

[0154] The comprehensive display module 141 is used to visualize the agricultural pollution operation and maintenance work overview in the target area by establishing a large-screen display system in the agricultural pollution operation monitoring center.

[0155] In this embodiment, the comprehensive display module 141 establishes a large-screen display system when establishing an agricultural pollution operation monitoring center to visualize the overview of Wujiang's agricultural pollution operation and maintenance work, and constructs visual display modules including a comprehensive supervision center, alarm management, control center, and display boards.

[0156] In this embodiment, the user management module 142 is used to establish a trust and credential verification mechanism according to user application requirements to ensure the uniqueness of the user identity and provide two-way identity authentication between the user and the service provider.

[0157] Specifically, the user management module 142 mainly includes: government users (managers of relevant departments), corporate users (a water group, an environmental protection group, a project company, an operation and maintenance unit, on-site operation and maintenance personnel, etc.) and public users.

[0158] For example: establish a personal homepage based on the daily operation and maintenance needs of various user roles such as agricultural pollution operation and maintenance supervision departments, management personnel, and on-site operation and maintenance personnel. You can customize the display data type, display important statistical information in a variety of charts, view the location of agricultural pollution facilities, real-time on-site operation information, alarms and statistical information, view the two-dimensional diagram of agricultural pollution site processes, fill in online ledgers for daily operation and maintenance work, and provide a convenient entry for daily work such as reviewing, filing, dispatching, tracking the disposal process, and archiving disposal results for abnormal problems such as agricultural pollution facility failures.

[0159] The client terminal 15 includes: a mobile terminal 151 and a large screen terminal 152 .

[0160] The mobile terminal 151 is used to meet the business application requirements of the operation and maintenance supervisors to grasp the operation and maintenance work of agricultural pollution and process transactions through the mobile terminal equipment corresponding to the agricultural pollution comprehensive supervision system, real-time positioning of on-site operation and maintenance personnel, reporting of the operation and failure of on-site facilities and equipment, and mobile reporting of patrol operation and maintenance work. The mobile terminal 151 can be a computer, tablet, or mobile phone.

[0161] In this embodiment, the smart mobile device terminal APP should have query and navigation, information display, patrol and maintenance entry and work order processing functions. It is necessary to meet the business application requirements of operation and maintenance supervisors to grasp the agricultural pollution operation and maintenance work status and conduct transaction processing, real-time positioning of on-site operation and maintenance personnel, reporting of on-site facility and equipment operation status and faults, and mobile reporting of patrol and maintenance work. Specifically, it is necessary to develop and build functions such as real-time location, problem reporting, message center, operation and maintenance center, water quality testing, analysis and query, personnel management, and personal center, and configure them according to user roles and permissions.

[0162] The large screen terminal 152 is a fixed terminal used for real-time video display, switching, and management through a large screen device, as well as real-time alarms, reminders, and disposal when multiple agricultural and sewage facilities operate abnormally.

[0163] In this embodiment, the design of the operation monitoring center includes the command hall and the digital center computer room, conference room-level auxiliary office rooms, etc. The monitoring command center is the control core and display core of the entire intelligent management system, and is also the video convergence point of the entire security system. It manages all security equipment and meets the requirements of the control center users for video calling, camera control, and alarm information viewing.

[0164] Specifically, the preferred large screen is an LED small-pitch display screen with a size of 7.2m wide and 2.025m high, about 14.58 square meters. The large-screen terminal playback screen can be displayed in multiple windows or in the entire screen, and can flexibly and diversely display high-resolution video images with rich colors, clear images, strong picture layers, and prominent dynamic effects.

[0165] In summary, the rural domestic sewage smart management system based on the Internet of Things and big data described in this application realizes real-time monitoring and data collection of sewage treatment facilities through the Internet of Things technology, and intelligently controls the sewage treatment process in combination with big data analysis, thereby improving sewage treatment efficiency and protecting the environment. This application uses the Internet of Things technology to collect the operating data of sewage treatment facilities in real time to ensure the accuracy and real-time nature of the data; combined with big data analysis technology, it can realize intelligent control of the sewage treatment process and improve management efficiency; through the user interaction module, users can easily view sewage treatment data and control results, and can also manually adjust control parameters, which is easy to operate; by accurately controlling the operating parameters of sewage treatment equipment, it can reduce energy consumption, reduce the impact on the environment, and achieve the technical effect of energy saving and environmental protection.

[0166] It should be noted that it should be understood that the division of the various modules of the above system is only a division of logical functions. In actual implementation, they can be fully or partially integrated into one physical entity, or they can be physically separated. And these modules can all be implemented in the form of software called by processing elements; they can also be all implemented in the form of hardware; some modules can also be implemented in the form of software called by processing elements, and some modules can be implemented in the form of hardware. For example, the x module can be a separately established processing element, or it can be integrated in a certain chip of the above system for implementation. In addition, it can also be stored in the memory of the above system in the form of program code, and called and executed by a certain processing element of the above system. The implementation of other modules is similar. In addition, these modules can be fully or partially integrated together, or they can be implemented independently. The processing element described here can be an integrated circuit with signal processing capabilities. In the implementation process, each step of the above method or each module above can be completed by an integrated logic circuit of hardware in the processor element or instructions in the form of software.

[0167] The above modules may be one or more integrated circuits configured to implement the above methods, such as one or more application specific integrated circuits (ASIC), or one or more digital signal processors (DSP), or one or more field programmable gate arrays (FPGA). For another example, when a module is implemented in the form of a processing element scheduling program code, the processing element may be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0168] See also Fig. 9 and Fig.10 , respectively showing the overall flow diagram of the rural domestic sewage intelligent treatment method based on the Internet of Things and big data in one embodiment of the present application and the system structure flow diagram of the rural domestic sewage intelligent treatment method based on the Internet of Things and big data in the present application. Fig. 9 and Fig.10 As shown, this embodiment provides a method for intelligent management of rural domestic sewage based on the Internet of Things and big data.

[0169] The rural domestic sewage intelligent treatment method based on the Internet of Things and big data specifically includes the following steps:

[0170] S1, obtain the real-time raw data of rural domestic sewage in the target area.

[0171] In this embodiment, first, the specific rural area or sewage treatment site for which real-time data needs to be obtained is identified; and according to the monitoring purpose, the type of data to be collected is determined, such as sewage discharge, water quality parameters (such as COD, pH value, ammonia nitrogen, total phosphorus, total nitrogen, etc.), equipment operating status, etc.

[0172] Then, monitor points are reasonably arranged in the target area to ensure that the sewage discharge and treatment in the area can be fully reflected; necessary monitoring equipment is installed at each monitoring point, such as flow meters, water quality sensors, video monitoring equipment, etc. These devices should have high precision, stability and real-time performance, and be able to accurately collect and transmit data.

[0173] Next, use monitoring equipment to collect real-time data on sewage discharge and treatment. Data collection should comply with relevant standards and specifications to ensure data accuracy and reliability; the collected data should be transmitted to the data center or cloud server via wired or wireless means.

[0174] It should be noted that the acquisition of the above data can be achieved through the data simulation platform and the target park on-site sensor unit to collect real-time data, conduct modeling and simulation, analyze the simulation results, and visualize the data through the scheduling screen. At the same time, encryption and other measures should be taken during the transmission process to ensure the security and integrity of the data.

[0175] S2, receiving the original rural domestic sewage data, and analyzing and processing the original rural domestic sewage data to obtain pre-processed sewage treatment data. Figure 4 , which is a flow chart of S2 in the smart rural domestic sewage treatment method based on the Internet of Things and big data described in the embodiment of this application. Figure 4 As shown, S2 comprises the following steps:

[0176] S21, collecting the original data of rural domestic sewage and pre-processing it.

[0177] In this embodiment, first, the raw data of sewage treatment is received from the monitoring system, sensor network, etc. of the rural sewage treatment plant. These data include: water quality parameters (such as pH value, suspended solids concentration, ammonia nitrogen concentration, etc.), flow rate, equipment operation status and other data. A preliminary check is performed on the received data to identify and process abnormal values ​​(such as data points that are obviously beyond the normal range), missing values, etc. These abnormal and missing data may mislead subsequent analysis, so they need to be processed in advance.

[0178] Then, data cleaning is performed. Invalid data generated due to equipment failure, transmission errors, etc. are deleted; for missing data points, reasonable filling strategies can be adopted, such as using the average value of the previous and next moments, interpolation method, or machine learning-based methods to fill them. Then, data of different dimensions are normalized and converted. Data from different data sources and different time points are integrated to form a complete sewage treatment data set.

[0179] S22, performing data analysis on the preprocessed data.

[0180] In this embodiment, first, statistical methods are used to perform descriptive statistics and inferential statistics on the data. Descriptive statistics can help us understand the basic characteristics of the data (such as mean, median, standard deviation, etc.), while inferential statistics allow the overall characteristics to be inferred from the sample data.

[0181] Then, data mining techniques (such as association rule mining, cluster analysis, classification algorithms, etc.) are used to extract valuable information and patterns from large amounts of data. This information can help us identify key issues in the sewage treatment process, predict future trends, etc.

[0182] Finally, the data is visualized through charts, graphs, etc., so as to more intuitively display the results of data analysis. Visual analysis helps to discover hidden laws and trends in data and improve the scientificity and accuracy of decision-making.

[0183] S3, performing remote intelligent control based on the pre-treated sewage treatment data.

[0184] In this embodiment, the sewage treatment facilities are intelligently controlled according to the analysis results in the above steps. For example, the operating parameters of the sewage treatment equipment are automatically adjusted according to the flow rate and water quality of the sewage to achieve precise control.

[0185] Specifically, the formulated control strategies and decisions are converted into specific control instructions and sent to the execution equipment of the sewage treatment plant through the remote intelligent control platform; the execution equipment receives the control instructions and performs corresponding operations, such as adjusting the equipment operation status, changing the treatment process parameters, etc. At the same time, the execution equipment feeds back the operation results and real-time status to the remote intelligent control platform.

[0186] The operation status and various parameters of the sewage treatment plant are monitored in real time through the remote intelligent control platform. This helps to detect and handle abnormal situations in a timely manner; the effects of the remote intelligent control system are regularly evaluated, including: improvement in treatment efficiency, reduction in energy consumption, shortening of fault handling time, etc. Based on the evaluation results, the control strategy and decision-making are continuously optimized.

[0187] S4, through the client terminal, provides users with real-time sewage treatment data and control result information so that users can understand the sewage treatment situation and manually adjust the control parameters.

[0188] In this embodiment, real-time sewage treatment data, control results and other information are provided to users through mobile applications or web platforms, so that users can understand the sewage treatment situation and manually adjust the control parameters.

[0189] The smart rural domestic sewage treatment method based on the Internet of Things and big data described in the present application can collect the operating data of sewage treatment facilities in real time through the Internet of Things technology to ensure the accuracy and real-time nature of the data; combined with big data analysis technology, it can realize intelligent control of the sewage treatment process and improve the treatment efficiency; through the user interaction module, the user can easily view the sewage treatment data and control results, and can also manually adjust the control parameters, which is easy to operate; by accurately controlling the operating parameters of the sewage treatment equipment, it can reduce energy consumption, reduce the impact on the environment, and achieve the technical effect of energy saving and environmental protection.

[0190] In summary, the rural domestic sewage intelligent management system and method based on the Internet of Things and big data provided by this application has the following beneficial effects:

[0191] The rural domestic sewage smart management system based on the Internet of Things and big data provided by this application realizes real-time monitoring and data collection of sewage treatment facilities through the Internet of Things technology, and intelligently controls the sewage treatment process in combination with big data analysis, thereby improving sewage treatment efficiency and protecting the environment. This application uses the Internet of Things technology to collect the operating data of sewage treatment facilities in real time to ensure the accuracy and real-time nature of the data; combined with big data analysis technology, it can realize intelligent control of the sewage treatment process and improve the management efficiency; through the user interaction module, users can easily view sewage treatment data and control results, and can also manually adjust control parameters, which is easy to operate; by accurately controlling the operating parameters of sewage treatment equipment, it can reduce energy consumption, reduce the impact on the environment, and achieve the technical effect of energy saving and environmental protection.

[0192] The descriptions of the processes or structures corresponding to the above-mentioned figures have different emphases. For parts that are not described in detail in a certain process or structure, please refer to the relevant descriptions of other processes or structures.

[0193] The above embodiments are merely illustrative of the principles and effects of the present application and are not intended to limit the present application. Anyone familiar with the technology may modify or change the above embodiments without violating the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by a person of ordinary skill in the art without departing from the spirit and technical ideas disclosed in the present application shall still be covered by the claims of the present application.

Claims

1. A rural domestic sewage smart management system based on the Internet of Things and big data, characterized in that: include: Data acquisition system, data processing system, intelligent control management system and user interaction system; The data collection system is used to collect the original data of rural domestic sewage in real time through the sensor equipment installed on the sewage treatment facilities in the target area; The data processing system is connected to the data acquisition system, and is used to receive the original rural domestic sewage data sent by the data acquisition system, and store, analyze and process the original rural domestic sewage data; The intelligent control management system is connected to the data processing system and is used to intelligently control the sewage treatment facilities and automatically adjust the operating parameters of the sewage treatment equipment according to the analysis results of the data processing system; The user interaction system is connected to the intelligent control management system, and is used to provide sewage treatment information to users in real time through the client terminal and the interactive window, and to manually adjust the control parameters, and finally complete the intelligent treatment process of rural domestic sewage; The sewage treatment information includes: sewage treatment data and control results.

2. According to claim 1, the rural domestic sewage intelligent management system based on the Internet of Things and big data is characterized in that: The data collection system includes: an IoT business perception module and an infrastructure module; The IoT business sensing module is used to obtain the original data of rural domestic sewage in the target area, and realize the collection and access of the data of the pump status, electricity, liquid level, flow, and video monitoring of the agricultural sewage facility site; the original data of rural domestic sewage includes: any one or more combinations of sewage flow, liquid level, water quality, energy consumption, and environmental data; The infrastructure module is connected to the IoT sensing module and is used to transmit the original data of rural domestic sewage to the data processing system.

3. The rural domestic sewage intelligent management system based on the Internet of Things and big data according to claim 2 is characterized in that: The IoT service perception module includes: an IoT access management unit, a monitoring sensor, and a monitoring camera probe; The Internet of Things access management unit is used to collect the rural domestic sewage raw data obtained in real time and upload it to the cloud service end; The monitoring sensor is used to obtain the original data of rural domestic sewage in real time; the monitoring sensor includes: any one or more combinations of a liquid level sensor, a flow sensor, a pressure sensor, a water quality detector, and an electric energy meter; The monitoring camera probe is used to obtain video monitoring images of agricultural pollution facilities sites in the target area in real time.

4. The rural domestic sewage intelligent management system based on the Internet of Things and big data according to claim 2 is characterized in that: The infrastructure module is used to provide hardware and network support and data transmission for the system; The infrastructure module includes: a communication network transmission unit, a server unit, a disaster recovery unit, a storage unit, and a security management unit; The communication network transmission unit is used to transmit the operating data and video data of the sewage treatment station to the agricultural pollution operation and supervision center via 4G and dedicated lines; the communication network transmission unit includes: 4G communication transmission, 5G communication transmission, and dedicated line transmission.

5. The rural domestic sewage intelligent treatment system based on the Internet of Things and big data according to claim 1 is characterized in that: The data processing system includes: a data resource module and a support service module; The data resource module is used to realize unified storage management, collection, data maintenance and update of data; the data resource module includes: any one or more combinations of basic information database module, geographic space database module, operation monitoring database module, operation and maintenance management database module, and interactive sharing database module; The support service module is used for application support platform services; the support service module includes: data service platform, GIS map service, Internet of Things platform service, and unified user management service.

6. The rural domestic sewage intelligent treatment system based on the Internet of Things and big data according to claim 1 is characterized in that: The intelligent control management system includes: a business application module; The business application module is used to build an integrated agricultural pollution supervision platform around the three aspects of government supervision, enterprise operation and maintenance management, and public participation, and provide business application function modules for the entire process of rural sewage treatment operation and maintenance, so as to enable the system to save energy consumption, reduce costs, and improve efficiency; the business application module includes: any one or more combinations of an operation monitoring unit, an alarm management unit, a video monitoring unit, a remote control unit, an operation and maintenance management unit, a water quality detection management unit, an agricultural pollution asset management unit, a pipe network management unit, and an operation statistics analysis unit.

7. The rural domestic sewage intelligent treatment system based on the Internet of Things and big data according to claim 6 is characterized in that: The alarm management unit is used to match the alarm information corresponding to the alarm location with the alarm rule based on the abnormal operation of the agricultural pollution site, and send an alarm signal, and send the alarm information to the corresponding management personnel at the same time; the alarm management unit includes: any one or more combinations of alarm reminder, alarm information display, alarm event verification, processing, alarm cancellation, alarm contact management, alarm type statistics, and alarm list viewing; The operation monitoring unit is used to monitor the operation status of the equipment and facilities of the agricultural waste treatment site in real time, and to query, display and export the operation condition data of the facilities; the monitoring indicators of the operation monitoring unit include: power equipment operation status data, water volume data, energy consumption data, and water quality data; The video monitoring unit is used to monitor and manage the on-site monitoring images of agricultural pollution facilities and equipment in real time; the monitoring content of the video monitoring unit includes: any one or more combinations of real-time carousel display, viewing, abnormal reminder, monitoring history image playback, and video monitoring equipment management of the on-site monitoring images of agricultural pollution facilities and equipment; The remote control unit is used to intelligently control the sewage treatment facilities according to the analysis results of the data processing center; the remote control unit includes: any one or more combinations of: agricultural sewage facility operation process flow chart, real-time operation data display, curve analysis, real-time display of facility equipment control status, and remote control management of facilities and equipment; The operation and maintenance management unit is used to manage the daily inspection of agricultural pollution facilities carried out by the agricultural pollution operation and maintenance unit, and the entire operation and maintenance process from the formulation of the operation and maintenance work plan to the execution of tasks, problem discovery and work order processing and disposal, and form an operation and maintenance ledger; the operation and maintenance management unit includes: any one or more combinations of operation and maintenance plan management, work order management, route management, operation and maintenance statistical analysis, and operation and maintenance unit and personnel management; The water quality testing management unit is used to conduct water quality testing of agricultural sewage pipe networks and agricultural sewage facility stations by regular and temporary sampling of agricultural sewage operation and maintenance and supervision units, and entrusting third-party testing agencies to conduct unified summary, management, statistics and display through the system; The pipe network management unit is used to display and manage the spatial distribution of sewage pipe networks, terminal integrated pumping stations, and agricultural sewage treatment facilities within the operation and maintenance scope; the pipe network management unit includes: map roaming, pipe network query statistics, pipe network data management, and pipe network defect management.

8. The rural domestic sewage intelligent treatment system based on the Internet of Things and big data according to claim 1 is characterized in that: The user interaction system includes: a comprehensive display module and a user management module; The comprehensive display module is used to visually display the overview of agricultural pollution operation and maintenance work in the target area by establishing a large-screen display system in the agricultural pollution operation monitoring center; The user management module is used to establish a trust and credential verification mechanism according to user application requirements to ensure the uniqueness of user identity and provide two-way identity authentication between the user and the service provider.

9. The rural domestic sewage intelligent treatment system based on the Internet of Things and big data according to claim 1 is characterized in that: The client terminal includes: a mobile terminal and a large-screen terminal; The mobile terminal is used to meet the business application requirements of the operation and maintenance supervisors to grasp the operation and maintenance work of agricultural pollution and process transactions through the mobile terminal equipment corresponding to the agricultural pollution comprehensive supervision system, real-time positioning of on-site operation and maintenance personnel, reporting of the operation status and faults of on-site facilities and equipment, and mobile filling of patrol operation and maintenance work; the mobile terminal can be a computer, tablet, or mobile phone; The large-screen terminal is a fixed terminal used for real-time video display, switching, and management through a large-screen device, as well as real-time alarms, reminders, and disposal when multiple agricultural and sewage facilities operate abnormally.

10. A method for intelligent management of rural domestic sewage based on the Internet of Things and big data, characterized in that: The following steps are involved: Obtain real-time raw data of rural domestic sewage in the target area; Receiving the original rural domestic sewage data, and analyzing and processing the original rural domestic sewage data to obtain pre-processed sewage treatment data; Performing remote intelligent control based on the pre-treated sewage treatment data; Through the client terminal, real-time sewage treatment data and control result information are provided to users so that users can understand the sewage treatment situation and manually adjust the control parameters.

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