A perception prevention and control system of an external field device

Abstract

A kind of perception prevention and control system of field equipment, can improve the inspection efficiency and detection accuracy of field equipment.Perception prevention and control system includes terminal equipment and controller.Terminal equipment includes: intelligent control module, for monitoring, acquisition and control of electrical related parameters of field equipment;Intelligent network management module, for monitoring, acquisition and control of network related parameters of field equipment and the communication link between the intelligent network management module and field equipment;And intelligent core module, configured to have edge computing function, the environment related parameters of the environment where field equipment is located are acquired, electrical related parameters from intelligent control module and network related parameters from intelligent network management module are received, and the received environment related parameters, electrical related parameters and network related parameters are sent to the controller.

Description

Technical Field

[0001] This invention relates to a sensing and control system for field equipment. Background Technology

[0002] With the acceleration of urbanization and the continuous growth of motor vehicle ownership, public security traffic police are facing unprecedented challenges in traffic management. Problems such as traffic congestion, increased traffic accidents, and aggravated environmental pollution are gradually affecting the sustainable development of cities and the quality of life of residents. Against this backdrop, intelligent transportation systems have emerged as a key means to solve modern traffic problems. As the perception layer of intelligent transportation systems, front-end equipment undertakes the important task of collecting traffic information, and its stable operation is crucial to the efficient operation of the entire traffic management system.

[0003] While some cities have begun to utilize big data and AI technologies, integrating database integration and image quality analysis to build relatively advanced maintenance controllers or systems for the systematic and efficient inspection of intelligent transportation equipment, certain devices, such as guidance screens, supplementary lighting devices, and traffic lights, still face technical barriers to systematic inspection due to their reliance on electrical signals or serial port protocols for data transmission, and the inability to convert data into analog signals for analysis. Maintenance of such equipment still primarily relies on manual inspection and fault reporting, resulting in low fault detection rates and maintenance delays. Given these circumstances, to further improve the inspection efficiency and detection accuracy of such equipment, it is urgent to explore new monitoring methods to ensure the stable operation of these intelligent transportation devices.

[0004] In addition to traffic field equipment, other types of field equipment, such as public safety field equipment, also have the same problems. Summary of the Invention

[0005] This invention is based on the above-mentioned problems and aims to provide a sensing and control system for field equipment, which can improve the inspection efficiency and detection accuracy of field equipment.

[0006] This invention provides a sensing and control system for field equipment, characterized in that the sensing and control system comprises:

[0007] A terminal device, wherein the terminal device is used to collect equipment-related information of field equipment and transmit the collected equipment-related information; and

[0008] A controller, communicatively connected to the terminal device, processes device-related information from the terminal device and sends control commands to the terminal device based on the processing results.

[0009] The terminal device includes:

[0010] The intelligent control module is used to monitor, collect, and control the electrical-related parameters of the field equipment.

[0011] The intelligent network management module is used to monitor, collect, and control network-related parameters of the field equipment and the communication link between the intelligent network management module and the field equipment; and

[0012] The intelligent core module is configured to have edge computing capabilities, which collects environmental parameters of the environment in which the field equipment is located, receives electrical parameters from the intelligent control module and network parameters from the intelligent network management module, and sends the received environmental parameters, electrical parameters and network parameters to the controller.

[0013] Optionally, the intelligent control module includes: a monitoring and acquisition submodule, which monitors and acquires electrical-related parameters of the field equipment; a voltage control submodule, which controls the voltage of the field equipment according to its actual voltage condition; and a current control submodule, which controls the current of the field equipment according to its actual current condition.

[0014] Optionally, the intelligent control module is further configured to perform data preprocessing on the collected electrical-related parameters, and / or the intelligent network management module is further configured to perform data preprocessing on the collected network-related parameters.

[0015] Optionally, the intelligent control module, the intelligent network management module, and the intelligent core module are connected via a CAN bus, and the intelligent control module and the intelligent network management module are connected in parallel with respect to the intelligent core module.

[0016] Optionally, the terminal device further includes an intelligent traffic light monitoring module, which is used to monitor whether the traffic lights, which are the field equipment, are malfunctioning, and the intelligent core module receives the monitoring results from the intelligent traffic light monitoring module.

[0017] Optionally, the intelligent control module, the intelligent network management module, the intelligent traffic light monitoring module, and the intelligent core module are connected via a CAN bus, and the intelligent control module, the intelligent network management module, and the intelligent traffic light monitoring module are connected in parallel with respect to the intelligent core module.

[0018] Optionally, the sensing and control system includes multiple terminal devices, and the multiple terminal devices are connected in a star configuration relative to the controller.

[0019] Optionally, the controller includes: a data receiving unit for receiving data from the intelligent core module; a data analysis unit for analyzing the data received by the data receiving unit; a fault determination unit for determining whether a fault has occurred in the field equipment based on the analysis results of the data analysis unit; and an alarm unit for sending an alarm signal to the intelligent core module based on the determination results of the fault determination unit.

[0020] Optionally, the controller further includes an operation and maintenance management unit, which is configured to operate, maintain and manage the field equipment according to the determination result of the fault determination unit.

[0021] Optionally, if the determination result indicates that the field equipment has malfunctioned, the operation and maintenance management unit sends a repair control command to the intelligent core module to repair the malfunctioning field equipment.

[0022] Technical effect

[0023] According to the sensing and control system described in this technical solution, by adopting a bypass monitoring design, the terminal equipment is placed outside the field equipment that is the sensing target. Therefore, even if the terminal equipment malfunctions, it will not affect the normal operation of the field equipment. Furthermore, the terminal equipment is constructed through modular integration, giving it high flexibility and adaptability. The modules that make up the terminal equipment can be flexibly selected according to the actual application scenario and actual needs, thus giving the terminal equipment strong horizontal scalability and vertical iteration performance, effectively reducing unnecessary installation waste. Moreover, no architectural adjustments are required when installing the terminal equipment, reducing installation costs. Therefore, while improving the installation flexibility of the terminal equipment, the inspection accuracy and detection precision of the field equipment are also improved. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is an architecture diagram of the sensing and control system for field equipment in one embodiment of the present invention.

[0026] Figure 2 This is a hardware configuration diagram of the terminal devices included in the field equipment sensing and control system of an embodiment of the present invention.

[0027] Figure 3 This is a schematic diagram illustrating the network topology of the field device sensing and control system according to an embodiment of the present invention, which includes controllers and terminal devices.

[0028] [Symbol Explanation]

[0029] 1-Field equipment;

[0030] 2-Terminal equipment;

[0031] 21-Intelligent Core Module;

[0032] 22-Intelligent Network Management Module;

[0033] 23-Intelligent Control Module;

[0034] 24-Intelligent Traffic Light Monitoring Module;

[0035] 3-Controller;

[0036] 31-Data Processing and Analysis Layer;

[0037] 32-Intelligent Decision-Making Layer;

[0038] 33 - User Interaction Layer. Detailed Implementation

[0039] Figure 1 This illustration shows a sensing and control system for an outdoor device 1 according to an embodiment of the present invention. The outdoor device 1 described herein includes, but is not limited to, traffic outdoor devices and public safety outdoor devices. However, for ease of explanation, this embodiment will use a traffic outdoor device as an example for description. Figure 1 As shown, as a specific type, field equipment 1 includes, but is not limited to, network PTZ cameras, network infrared cameras, checkpoints, supplementary lights, network infrared high-speed PTZ cameras, guidance screens, traffic lights, network switches, ground sensing devices (e.g., ground sensing weighing systems), tunnel fans, tunnel lighting equipment, etc.

[0040] In addition, such as Figure 1 As shown, the system includes a terminal device 2 and a controller 3, which are communicatively connected via, for example, an optical fiber. Figure 3 A schematic diagram of the network topology of the traffic field equipment 1 in this embodiment is shown, as follows: Figure 3As shown, multiple terminal devices 2 located in different areas of the city are connected in a star topology relative to the controller 3. That is, the terminal devices 2, as nodes in the network, connect to the controller 3, the central node, in a point-to-point manner. Regarding specific communication protocols, for example, at the application layer, each terminal device 2 can communicate with the controller 3 via the MQTT protocol to achieve real-time data upload and remote control. However, it should be noted that the specific application layer protocol can be selected according to actual needs and is not limited to the MQTT protocol. For the transport layer, network layer, and data link layer, appropriate communication protocols can also be selected according to actual requirements, which will not be described in detail here.

[0041] Terminal device 2 includes an intelligent core module 21, an intelligent control module 23, an intelligent network management module 22, and an intelligent traffic light monitoring module 24 (see...). Figure 2 Terminal device 2 collects and preprocesses equipment-related information of field device 1 in real time, and transmits the collected and preprocessed equipment-related information of field device 1 to controller 3. In addition, terminal device 2 can also receive instructions from controller 3 and perform corresponding operations based on the instructions.

[0042] Terminal device 2 adopts a modular design architecture. Specifically, such as... Figure 2 As shown, the intelligent core module 21, intelligent control module 23, intelligent network management module 22, and intelligent traffic light monitoring module 24 are independently configured hardware modules, communicating via a CAN bus. More specifically, the intelligent control module 23, intelligent network management module 22, and intelligent traffic light monitoring module are connected in parallel with respect to the intelligent core module 21. Figure 2 It can be observed that the various device-related data received by the intelligent control module 23, intelligent network management module 22, and intelligent traffic light monitoring module 24 are transmitted together to the intelligent core module 21 via the CAN bus. The intelligent core module 21 communicates with the controller 3, for example, via optical fiber.

[0043] By enabling the modules of terminal device 2 to communicate and connect with each other via a CAN bus, an intelligent hardware network architecture can be constructed, achieving efficient transmission and multi-level security protection. More specifically, since terminal device 2 needs to monitor and control the operation of field device 1 in real time, it typically operates in a complex field environment. When terminal device 2 is composed of independently configured hardware modules, communication between them is easily interfered with by factors in the complex field environment. Therefore, in this embodiment, by enabling the modules of terminal device 2 to communicate and connect with each other via a CAN bus, and employing the CAN communication protocol, which has strong anti-interference capabilities, supports multi-node broadcasting, multi-level error detection, and high real-time performance, good communication between the modules of terminal device 2 can be achieved.

[0044] It should be reiterated that, due to the modular design architecture of terminal device 2, the aforementioned modules are independently configured. This allows for the selection and installation of specific modules as needed, and also enables the addition of modules with additional functions. In other words, the types and quantities of modules (including the total number of modules and the number of individual modules) in terminal device 2 can be increased or decreased according to actual needs to adapt to different usage scenarios. However, generally speaking, in order to control external device 1, terminal device 2 includes at least an intelligent management and control module 23, an intelligent network management module 22, and an intelligent core module 21.

[0045] Next, the function of each module in terminal device 2 will be explained in detail.

[0046] The intelligent control module 23 monitors, collects, and controls the electrical parameters of the external equipment 1. These electrical parameters include, but are not limited to, the voltage and current of the external equipment 1. As a monitoring and acquisition submodule, the intelligent control module 23 includes, for example, a high-precision Hall effect sensor, a low-noise signal conditioning circuit, and a detection unit with high sampling frequency and Σ-Δ modulation technology to achieve multi-channel, high-precision, and large dynamic range real-time monitoring, acquiring various electrical parameters of the external equipment 1. For example, as a detection and acquisition submodule, the current detection and acquisition submodule can record relevant current curves, providing a basis for fault analysis. As a control submodule, the intelligent control module 23 includes a voltage control submodule and a current control submodule. The voltage control submodule has overvoltage protection and undervoltage protection mechanisms. When the mains voltage is low, it adjusts the equipment voltage to the normal operating voltage of the external equipment 1 to ensure its normal operation. When the mains voltage is too high, it shuts off the power to the external equipment 1 to protect it. The current control submodule has overcurrent protection and short-circuit protection mechanisms, and adopts intelligent reclosing logic to ensure equipment protection against surge current, restart and quickly isolate faulty equipment, and ensure the safe operation of field equipment.

[0047] The intelligent network management module 22 monitors, collects, and controls network-related parameters of the external device 1 and the communication link between them. Regarding network status monitoring, the intelligent network management module 22 can monitor network faults such as network outages, packet loss, and latency, and generate operator maintenance suggestions based on the monitoring results. In terms of security protection, the intelligent network management module 22 strengthens network boundary protection, implements a strict access control mechanism, and utilizes technologies such as MAC address list management and port isolation to authenticate and verify the compliance of devices attempting to access the network, further restricting the access range of unauthorized devices and ensuring that only authorized devices can access network resources. Simultaneously, it uses technologies such as LPD loopback detection and storm suppression to avoid device conflicts on the network, maintain network order, and build a comprehensive, multi-layered network security protection system. Regarding data transmission, the intelligent network management module 22 supports fiber optic / 5G dual-mode communication and employs data compression and dynamic rate adjustment technologies. For example, the intelligent network management module 22 compresses data during signal transmission to reduce data transmission traffic consumption and bandwidth usage (supporting compression algorithms such as LZ4 and GZIP). During signal transmission, it dynamically adjusts the data transmission rate according to network conditions.

[0048] In addition, the intelligent network management module 22 and the communication link connecting it to the field device 1 together construct a diverse data transmission network to meet the data transmission needs of the field device in different scenarios. In urban areas or places with relatively complete communication infrastructure, fiber optic communication is given priority as the main transmission method. Fiber optic communication has advantages such as large bandwidth, high transmission speed, and strong anti-interference ability, which can meet the real-time transmission needs of high-definition video data and a large amount of sensor data. The system is equipped with a real-time communication monitoring link to ensure normal communication of other devices when equipment fails; through encrypted data transmission, enhanced network boundary protection, and access control, the system strictly verifies the identity of devices and restricts unauthorized access; at the same time, it adopts LPD loopback detection and storm suppression technology to avoid network conflicts, maintain communication order, and build a multi-layered security protection system to ensure stable and reliable data transmission.

[0049] The intelligent traffic light monitoring module 24 is used to detect traffic light malfunctions. It is configured to support multi-channel parallel monitoring, simultaneously monitoring the current and logic status of multiple traffic light groups (such as red and green light phase switching), and ensuring real-time and comprehensive monitoring through parallel processing technology. The module also supports fault diagnosis, for example, by integrating high-precision electrical detection and logic analysis technologies to identify light wire aging and phase conflicts (such as green light conflicts). Furthermore, the module features intelligent linkage, such as triggering the traffic signal controller to switch emergency plans in case of abnormalities to prevent traffic accidents. Based on its inherent logic and historical operating data, combined with deep learning algorithms, the module automatically learns the normal operating mode of the traffic lights and identifies abnormal states, improving the accuracy and timeliness of fault diagnosis.

[0050] In addition, preferably, the intelligent control module 23, the intelligent network management module 22, and the intelligent traffic light monitoring module 24 can preprocess the received device-related data, such as filtering the received device-related data, converting the data format of the device-related data, and dynamically compressing the device-related data.

[0051] The intelligent core module 21 has edge computing capabilities and is configured as follows:

[0052] Environmental parameters of the environment in which the field equipment 1 is located are collected, such as temperature and humidity of the environment in which the field equipment 1 is located.

[0053] It receives electrical-related parameters from the intelligent control module 23, network-related parameters from the intelligent network management module 22, and monitoring results from the intelligent traffic light monitoring module 24;

[0054] The received environmental parameters, electrical parameters, network parameters, and traffic light fault monitoring results are sent to controller 3; and

[0055] The system receives control commands from controller 3 and, depending on the type of the received control command (e.g., a repair control command), sends the control command to at least one of the intelligent management module 23, intelligent network management module 22, and intelligent traffic light monitoring module 24.

[0056] like Figure 1 As shown, from a hardware architecture perspective, controller 3 includes a data processing and analysis layer 31, an intelligent decision-making layer 32, and a user interaction layer 33. The data processing and analysis layer 31 processes and analyzes data through a server. The intelligent decision-making layer 32 uses AI for fault diagnosis. The user interaction layer 33 is used to establish the output of processing and analysis results and the feedback from users.

[0057] On the other hand, from the perspective of software composition, controller 3 includes a data receiving unit, a data analysis unit, a fault determination unit, and an operation and maintenance management unit.

[0058] The data receiving unit receives environmental parameters, electrical parameters, grid parameters, and traffic light fault monitoring results from the intelligent core module 21.

[0059] The data analysis unit analyzes environmental, electrical, and grid-related parameters, as well as the monitoring results of traffic light malfunctions, received by the data receiving unit. Specifically, this unit performs real-time analysis on the collected equipment electrical, grid, and environmental data, using techniques such as data filtering, deduplication, outlier detection, and correction to remove noise and errors from the data.

[0060] The fault determination unit determines whether a fault has occurred in the field equipment based on the analysis results of the data analysis unit. Specifically, the fault determination unit uses algorithms to train monitoring data and equipment operating parameters to establish an intelligent fault diagnosis model. By comprehensively analyzing multiple indicators such as equipment power parameters, communication status, and operating temperature, it determines whether the equipment is in normal operating condition. When an abnormality occurs, the system can promptly issue an early warning signal and provide detailed fault information, such as fault type and fault location, so that maintenance personnel can quickly troubleshoot and repair the fault, ensuring that it is fixed in the shortest possible time.

[0061] The alarm unit sends an alarm signal to the intelligent core module 21 based on the judgment result of the fault judgment unit. After receiving the alarm signal, the intelligent core module 21 sends the alarm signal to at least one of the intelligent control module 23, the intelligent network management module 22, and the intelligent traffic light monitoring module 24 according to the type of the alarm signal.

[0062] In addition, the controller 3 may also include an operation and maintenance management unit, which is configured to operate, maintain, and manage the field equipment based on the judgment results of the fault judgment unit. Specifically, the operation and maintenance management unit provides operation and maintenance personnel with a centralized remote management platform, realizing functions such as remote control, configuration management, and maintenance plan formulation of front-end equipment. Operation and maintenance personnel can use the software to view the equipment's operating status, parameter settings, and other information in real time, and perform operations such as immediate remote restart, scheduled remote shutdown and startup, and task parameter adjustment. At the same time, the software also has a work order management function. When equipment malfunctions, the system automatically generates a work order and assigns it to the corresponding operation and maintenance personnel. The operation and maintenance personnel can receive the work order through a mobile APP (Internet) and record and provide feedback on the fault handling process, realizing full-process information management of operation and maintenance work and improving operation and maintenance efficiency and management level.

[0063] In addition, regarding the operation and maintenance management unit, if the fault determination unit determines that the field equipment has malfunctioned, the operation and maintenance management unit sends a repair control command to the intelligent core module to repair the malfunctioning field equipment. After receiving the repair control command, the intelligent core module 21 sends the alarm signal to at least one of the intelligent management and control module 23, the intelligent network management module 22, and the intelligent traffic light monitoring module 24, depending on the type of the repair control command.

[0064] Preferably, the controller 3 is configured to use algorithms to train monitoring data and equipment operating parameters. For example, it can establish an equipment fault prediction and intelligent diagnosis model through AI technology. By conducting comprehensive multi-dimensional trend analysis on multiple indicators of the equipment (including power parameters, communication status and operating temperature, etc.), it can determine whether the equipment is in normal operating condition, monitor the equipment status, identify potential fault modes, trigger protection measures in advance, and achieve proactive fault prevention.

[0065] Preferably, the controller 3 can also construct an electrical characteristic map of the equipment's operating status based on information from the terminal device 2, and comprehensively analyze multiple indicators of the equipment using the electrical characteristic map to determine whether the equipment is in normal operating condition, thereby monitoring the equipment status. Furthermore, it can combine the electrical characteristic map with a logic rule base to locate the source of the fault (such as leakage, short circuit, or software logic error), thereby performing root cause analysis of the fault.

[0066] Preferably, controller 3 is also configured to issue an early warning signal in a timely manner in response to detecting an abnormality in the equipment, and provide detailed fault information, including fault type and fault location, so that maintenance personnel can quickly troubleshoot and repair, and ensure that the fault is repaired in the shortest possible time.

[0067] Furthermore, preferably, the operation and maintenance management unit is a human-machine interface. The remote operation and maintenance management module is displayed on a screen. The screen displays a 3D model of the equipment's internal structure (such as the status of signal light circuit boards) through digital twin mapping, supporting high-brightness location of fault points. The screen uses heat map analysis to display equipment fault density by area, assisting in the formulation of maintenance priorities. The screen monitors key indicators such as equipment online rate (99.3%) and response time (<15 minutes) through a real-time dashboard. The remote operation and maintenance management module generates reports to automatically output operation and maintenance cost analysis and daily / monthly fault statistics reports, preferably for users to view via the screen and / or an APP. The remote operation and maintenance management module is also used to automatically generate work orders when equipment failure occurs and assign the work orders to the corresponding operation and maintenance personnel. The operation and maintenance personnel can receive work orders through a mobile APP (Internet), record and provide feedback on the fault handling process, and track the processing progress in real time, realizing full-process information management of operation and maintenance work, improving operation and maintenance efficiency and management level. The remote operation and maintenance management module can also configure parameters, that is, issue instructions such as threshold adjustment and network policy update to the terminal module. The remote operation and maintenance management module can also integrate a maintenance knowledge base, providing standard fault handling procedures and historical case references.

[0068] Preferably, controller 3 deploys an adaptive threshold detection mechanism. By dynamically adjusting alarm thresholds, it automatically determines whether a device is faulty, as well as the type and severity of the fault, thereby improving the accuracy and efficiency of fault diagnosis. This adaptive threshold detection mechanism significantly improves the effectiveness of fault detection while reducing the false alarm rate, ensuring the accuracy and reliability of monitoring results. Alarm thresholds include, but are not limited to, voltage fluctuation tolerance. Dynamically adjusting the voltage fluctuation tolerance threshold involves: first setting the voltage fluctuation tolerance threshold to ±5%; if it exceeds this range, it indicates a fault in the corresponding device under test; then setting the voltage fluctuation tolerance threshold to ±10%; if it exceeds this range, it indicates a serious fault in the corresponding device under test. The false alarm rate of this adaptive threshold detection mechanism is less than 0.8%; preferably, less than 0.4%.

[0069] Preferably, the controller 3 is configured to freely combine the managed equipment and remotely and flexibly start and stop the equipment according to the actual application needs of intelligent transportation equipment, while also supporting the simultaneous grouping and management of multiple tasks.

[0070] [Technical Effects]

[0071] The traffic field equipment perception and control system described in this embodiment deploys intelligent, efficient, and modular equipment to monitor the operational status of traffic front-end equipment across the entire area. The advantages of modular hardware products lie in their ability to be combined according to actual conditions. Adopting a bypass monitoring design approach, it requires no architectural adjustments, is easy to install, features a diverse structure, allows for flexible combination, and supports horizontal expansion and vertical iteration of functional modules, enabling monitoring of intelligent equipment in different environments. Simultaneously, to improve the reliability and stability of the equipment, protective measures such as lightning protection, waterproofing, and dustproofing are employed.

[0072] According to the perception and control system for traffic field equipment described in this embodiment, the modularly designed terminal equipment integrates multiple high-precision sensors to monitor real-time data on electricity, network, and environment during the operation of traffic front-end equipment. This allows for the rapid construction of a comprehensive control system. By monitoring precise data, the system can quickly locate fault points and improve maintenance efficiency. The application of high-precision monitoring technology enables the system to identify minute voltage and current changes, providing early warnings of potential faults and preventing equipment damage and accidents, thereby improving equipment operating efficiency.

[0073] According to the perception and control system for traffic field equipment described in this embodiment, a diverse data transmission network is constructed to meet the data transmission needs of field equipment in different scenarios. In urban areas or places with relatively complete communication infrastructure, fiber optic communication is preferentially used as the main transmission method. Fiber optic communication has advantages such as large bandwidth, high transmission speed, and strong anti-interference capability, which can meet the real-time transmission needs of high-definition video data and a large amount of sensor data. The system is equipped with a real-time communication monitoring link to ensure normal communication of other devices in the event of equipment failure; through encrypted data transmission, enhanced network boundary protection, and access control, the system strictly verifies device identity and restricts unauthorized access; at the same time, LPD loopback detection and storm suppression technology are used to avoid network conflicts, maintain communication order, and construct a multi-layered security protection system to ensure stable and reliable data transmission.

[0074] The perception and control system for traffic field equipment described in this embodiment utilizes a modular integrated design to construct terminal devices, offering high flexibility and adaptability. The equipment is compactly installed and can be flexibly combined according to site requirements, making it suitable for various application scenarios. The modular design architecture better supports horizontal expansion and vertical iteration of functions, effectively reducing unnecessary installation waste. Furthermore, the equipment adopts a bypass monitoring design approach, eliminating the need for architectural adjustments during installation and significantly reducing manpower investment.

[0075] According to the perception and control system for traffic field equipment described in this embodiment, the system adopts a distributed processing architecture. The intelligent core module can upload data from each module and local alarm information in real time, ensuring data real-time performance and security. As an edge computing device, the intelligent core module possesses powerful data processing capabilities, enabling local data analysis and processing on the traffic field equipment, enhancing the intelligence and response speed of the edge side, and reducing reliance on the platform. The application of edge computing technology allows the system to operate normally even under poor network conditions, improving system robustness. Furthermore, the system's controller utilizes big data analytics to perform in-depth data analysis and employs AI technology to construct a high-precision prediction and fault diagnosis model. This model performs multi-dimensional trend analysis of equipment electrical parameters, accurately identifies potential fault modes, and can trigger protective measures in advance, achieving proactive fault prevention. By deploying an adaptive threshold detection mechanism, the system can dynamically adjust alarm thresholds, automatically determine whether equipment has a fault, and the type and severity of the fault, improving the accuracy and efficiency of fault diagnosis. While reducing false alarm rates, it significantly improves the effectiveness of fault detection, ensuring the accuracy and reliability of monitoring results.

[0076] According to the traffic field equipment perception and control system described in this embodiment, the module supports multi-channel parallel monitoring for the specific application scenario of traffic lights. It can simultaneously monitor the status of multiple traffic light groups and ensure real-time and comprehensive monitoring through parallel processing technology. Based on its inherent logic and historical operating data, combined with deep learning algorithms, the module can automatically learn the normal operating mode of the traffic lights and identify abnormal states, significantly improving the accuracy and timeliness of fault diagnosis. Through the deep integration of high-precision detection and logic analysis technologies, the traffic light monitoring module achieves comprehensive monitoring and intelligent management of traffic light status, providing a solid technical guarantee for the construction of smart transportation.

[0077] [Practical Application Results]

[0078] (I) Improve the accuracy of traffic equipment condition monitoring

[0079] High-precision sensors are used to monitor data such as voltage, current, network status, and environmental status of traffic equipment in real time, ensuring timely detection of abnormal operating conditions and providing accurate data support for subsequent fault diagnosis and maintenance.

[0080] (ii) Equipment failure handling efficiency has been greatly improved

[0081] The AI-powered intelligent connected system for field equipment enables real-time detection of equipment malfunctions and immediate warning signals. Maintenance personnel can quickly locate faulty equipment and their causes based on these warnings, allowing them to prepare repair tools and spare parts in advance, significantly reducing troubleshooting time. Statistics show that the average troubleshooting time for traffic front-end equipment using this AI-powered system has been reduced from several hours to less than half an hour, and the equipment availability rate has increased from 80% to over 95%, effectively ensuring the stable operation of the relevant equipment.

[0082] (III) Significantly reduced operation and maintenance costs

[0083] The AI-powered intelligent connected system for field equipment enables remote monitoring and management of front-end devices, reducing the workload and frequency of manual inspections and lowering labor and transportation costs. Simultaneously, through intelligent prediction and preventative maintenance, it can identify potential equipment malfunctions in advance, allowing for timely maintenance and repair, thus preventing equipment failures and reducing repair and replacement costs. It is estimated that after implementing this AI-powered intelligent connected system, a city using this technology has reduced its annual operation and maintenance costs for front-end intelligent transportation equipment by 30%-40%, achieving significant economic benefits.

[0084] (IV) Comparison of Operation and Maintenance Models

[0085] The core performance indicators of the collaborative perception and control technology for traffic police field equipment based on AIoT and edge computing show that the intelligent upgrade significantly improves operation and maintenance efficiency and reliability. In terms of response time, the new technology, through real-time data collection and intelligent edge analysis, reduces fault handling time from the traditional 8-72 hours to less than 15 minutes; fault location accuracy has increased from 50%-70% in manual inspections to over 95%, significantly reducing the false positive rate; and equipment online rate has been optimized from 91% to 99.3%, ensuring stable 24 / 7 operation of equipment by relying on distributed edge nodes and an AIoT collaborative architecture. Data demonstrates that intelligent technology has achieved a comprehensive breakthrough in the efficiency, accuracy, and reliability of traffic equipment management.

[0086] Table 1. Comparative Analysis of the Effectiveness of AIoT and Edge Computing Technologies in Enabling Public Security and Traffic Equipment

[0087]

[0088] Through the above optimizations, the system, after being applied in a certain urban area, achieved the following: ① The accuracy rate of abnormal display warnings on traffic guidance screens reached 99.2%, preventing 37 major traffic accidents throughout the year; ② Intelligent control of supplementary lighting reduced light pollution complaints by 82% and extended equipment lifespan by 40%; ③ "One light, one line" monitoring of traffic lights covered 1,200 intersections throughout the city, reducing the response time for high-risk faults such as green light conflicts to within 90 seconds. The size of the maintenance team was reduced by 45%, saving over ten million yuan annually.

[0089]

Application Scenarios

[0090] (I) Scientific Remote Management of Guiding Screens

[0091] The application of AIoT and edge computing-based collaborative sensing and control technology for traffic police field equipment has effectively ensured the normal display of information on guidance screens on urban expressways and main roads. By introducing this system, traffic police have achieved real-time monitoring of guidance information display and early warning of abnormal displays. More importantly, it enables remote power and network disconnection of guidance devices, effectively preventing criminals from tampering with the published information online and significantly improving the security management level of guidance devices. Furthermore, based on the daily management requirements of traffic police, the platform software can be used to schedule timed on / off tasks, effectively reducing light pollution in the city.

[0092] (II) Safety Rectification of Supplemental Lighting

[0093] This effectively solved problems such as improper use and unreasonable placement of supplementary lighting, transforming the supplementary lighting on urban expressway ramps into a "daytime exposure + nighttime flicker" lighting method, effectively reducing light pollution and extending the equipment's lifespan. According to statistics from the public opinion platform, in the first 11 months of 2024, the number of complaints related to supplementary lighting for traffic monitoring equipment decreased by 78.3% compared to the same period last year.

[0094] (III) Traffic Signal Light Safety Management

[0095] Traffic lights are crucial safety facilities for traffic operation, requiring stable 24 / 7 operation. While the traffic police brigade had initially implemented video surveillance to monitor abnormal traffic light displays, this method was somewhat delayed as faults were only detected after they occurred. By introducing this new maintenance system, precise monitoring of each traffic light's wiring can be achieved, effectively identifying component problems such as damaged wiring and aging lines. Simultaneously, real-time monitoring of signal output power ensures the normal operation of each phase's timing. Furthermore, upon detecting abnormal displays, the system will trigger a switch to emergency safety protocols for the traffic signal controller, effectively preventing traffic safety hazards caused by abnormal traffic light displays and significantly improving the safety guidance capabilities of traffic equipment.

[0096] (iv) Remote monitoring and control of tunnel equipment

[0097] Tunnel electromechanical equipment is crucial for ensuring smooth traffic flow within tunnels. This equipment includes ventilation systems, video surveillance systems, lighting systems, and variable message signs. Due to the complex environment inside tunnels, these systems often experience performance degradation or even damage due to humidity, corrosion, and dust. Furthermore, the heavy traffic volume within tunnels makes on-site inspection and maintenance extremely difficult. Therefore, by installing the terminal devices of the sensing and control system described in this application inside or near the tunnel, it is possible to monitor and collect the operational status data of the aforementioned systems in real time. Once an anomaly is detected, the corresponding module in the terminal device can transmit the relevant signal via the CAN bus to the intelligent core module, which then transmits it to a remote controller via a communication link. This allows maintenance personnel to promptly identify potential faults and prevent safety accidents caused by sudden equipment failure. Specifically, after analyzing the received anomaly signals, the controller can also send corresponding control commands to the terminal device, enabling the modules of the terminal device to control the various systems within the tunnel and promptly repair any anomalies.

[0098] It should be understood that after reading the above teachings of this invention, those skilled in the art can make various alterations or modifications to this invention, and these equivalent forms also fall within the scope defined by the appended claims.

Claims

1. A sensing and control system for field equipment, characterized in that, The sensing and control system includes: A terminal device, which is used to collect equipment-related information of field equipment and transmit the collected equipment-related information; as well as A controller, communicatively connected to the terminal device, processes device-related information from the terminal device and sends control commands to the terminal device based on the processing results. The terminal device includes: The intelligent control module is used to monitor, collect, and control the electrical-related parameters of the field equipment. The intelligent network management module is used to monitor, collect, and control network-related parameters of the field equipment and the communication link between the intelligent network management module and the field equipment; and The intelligent core module is configured to have edge computing capabilities, which collects environmental parameters of the environment in which the field equipment is located, receives electrical parameters from the intelligent control module and network parameters from the intelligent network management module, and sends the received environmental parameters, electrical parameters and network parameters to the controller.

2. The sensing and control system as described in claim 1, characterized in that, The intelligent control module includes: A monitoring and acquisition submodule is provided, which monitors and acquires the electrical-related parameters of the field equipment. A voltage control submodule, wherein the voltage control submodule controls the voltage of the field equipment according to the actual voltage condition of the field equipment; and A current control submodule controls the current of the field equipment based on the actual current condition of the field equipment.

3. The sensing and control system as described in claim 1, characterized in that, The intelligent control module is further configured to perform data preprocessing on the collected electrical-related parameters, and / or The intelligent network management module is further configured to perform data preprocessing on the collected network-related parameters.

4. The sensing and control system as described in claim 1, characterized in that, The intelligent control module, the intelligent network management module, and the intelligent core module are connected via a CAN bus for communication. The intelligent control module and the intelligent network management module are connected in parallel relative to the intelligent core module.

5. The sensing and control system as described in claim 1, characterized in that, The terminal device also includes an intelligent traffic light monitoring module. The intelligent traffic light monitoring module is used to monitor whether the traffic lights, which are part of the field equipment, are malfunctioning. The intelligent core module receives the monitoring results from the intelligent traffic light monitoring module.

6. The sensing and control system as described in claim 5, characterized in that, The intelligent control module, the intelligent network management module, the intelligent traffic light monitoring module, and the intelligent core module are connected via a CAN bus for communication. The intelligent control module, the intelligent network management module, and the intelligent traffic light monitoring module are connected in parallel with respect to the intelligent core module.

7. The sensing and control system as described in claim 1, characterized in that, The sensing and control system includes multiple terminal devices, and the multiple terminal devices are connected in a star topology relative to the controller.

8. The sensing and control system as described in claim 1, characterized in that, The controller includes: A data receiving unit receives data from the intelligent core module; A data analysis unit that analyzes the data received by the data receiving unit. A fault determination unit, which determines whether the field equipment has malfunctioned based on the analysis results of the data analysis unit; and An alarm unit sends an alarm signal to the intelligent core module based on the judgment result of the fault judgment unit.

9. The sensing and control system as described in claim 8, characterized in that, The controller also includes an operation and maintenance management unit, which is configured to operate, maintain and manage the field equipment according to the judgment result of the fault judgment unit.

10. The sensing and control system as described in claim 9, characterized in that, If the determination result indicates that the field equipment has malfunctioned, the operation and maintenance management unit sends a repair control command to the intelligent core module to repair the malfunctioning field equipment.

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