An online monitoring system for power equipment based on a 5G border controller

Abstract

The present invention discloses an on-line monitoring system for power equipment based on a 5G edge controller, which includes a monitoring module, a 5G edge controller, an alarm module, and an Internet of Things cloud platform; the monitoring module sends the collected video signal to the 5G edge controller, and the 5G edge controller calculates and analyzes the video signal. When an abnormal situation is analyzed, a first alarm signal is generated and transmitted to the Internet of Things cloud platform; the monitoring module sends other signals except the video signal to the alarm module, and the alarm module determines whether the various data of other signals exceed the set reference value. If it exceeds, a second alarm signal is sent to the 5G edge controller, and after receiving the second alarm signal, the 5G edge controller sends it to the Internet of Things cloud platform. The present invention supports a variety of industrial communication protocols to access industrial equipment, improves the openness of industrial equipment, upgrades traditional primary electrical equipment to Internet of Things data nodes, and the transmission is more efficient.

Description

Technical Field

[0001] The present invention relates to the field of electricity, and particularly to an online monitoring system for power equipment based on a 5G border controller. Background Art

[0002] Distribution network complete switchgear is generally installed in a distribution room or a box-type substation. In places with a perfect management mechanism, regular inspections will be carried out, but there is also a situation where the equipment is basically unattended after being powered on. In any case, currently, the complete switchgear is generally not opened during the inspection of the distribution network, especially for medium and high voltage complete switchgear. With the current fire monitoring method, only operation data can be viewed. Only some high-end cabinet types will install small cameras in the cabinet to monitor the real-time situation of the hardware system inside the cabinet. However, due to the current limitations of low wireless transmission rate and high latency, the video transmission inside the cabinet generally uses a wired method to access the local area network in this system and cannot perform real-time video interaction with the cloud system. Summary of the Invention

[0003] To solve the above problems, the present invention proposes an online monitoring system for power equipment based on a 5G border controller, including a monitoring module, a 5G border controller, an alarm module, and an Internet of Things cloud platform; the monitoring module sends the collected video signal to the 5G border controller, and the 5G border controller calculates and analyzes the video signal. When an abnormal situation is analyzed, a first alarm signal is generated, and the first alarm signal and video data are transmitted to the Internet of Things cloud platform. Otherwise, the video data is transmitted to the Internet of Things cloud platform; the monitoring module sends other signals except the video signal collected to the alarm module, and the alarm module determines whether the various data of other signals exceed the set reference value. If it exceeds, a second alarm signal is sent to the 5G border controller, and after receiving the second alarm signal, the 5G border controller sends it to the Internet of Things cloud platform.

[0004] Further, the 5G border controller includes a communication protocol module, a database module, an active application integration module, a data-driven module, and a virtual hardware module.

[0005] Further, the database module includes a configuration database, a real-time database, and a historical database; the configuration database provides various configuration files for the 5G border controller, the real-time database stores the real-time communication data received and sent by the 5G border controller, and the historical database stores historical power data that meets specific conditions.

[0006] Further, the data-driven module encapsulates the driving operations of each database in the database module, isolating the table structure of the database from the specific application.

[0007] Further, the communication protocol module includes a front-end communication module and a back-end communication module. The front-end communication module transmits data to the information acquisition module of the monitoring module through the virtual hardware module; the back-end communication module encapsulates the inter-process communication into a library function form that is easy to call through the active application integration module to access the real-time database, and after encapsulating the communication data in the data unit format specified by the communication protocol, it is forwarded to the Internet of Things cloud platform through the virtual hardware module.

[0008] Further, the virtual hardware module provides a unified hardware access interface to isolate other functional modules from the specific hardware, and the active application integration module encapsulates the inter-process communication interface;

[0009] The virtual hardware module receives the video signal sent by the monitoring module, generates video data from the video signal, and sends it to the active application integration module through the front-end communication protocol. The active application integration module stores the video data in the real-time database, the active application integration module obtains the configuration file from the configuration database, and calculates and analyzes the video data and the configuration file. When an abnormal situation is analyzed, a first alarm signal is generated, and the first alarm signal is sent to the Internet of Things cloud platform through the back-end communication protocol and the virtual hardware module.

[0010] Further, the monitoring module includes an information acquisition module, a data transmission module, a power supply module, and a main control module; the information acquisition module includes an embedded camera, a voltage transformer, a temperature sensor, and a humidity sensor. The embedded camera conducts video monitoring on the surface form and interface state of the power equipment, and the voltage transformer, temperature sensor, and humidity sensor collect the state information of the power equipment; the main control module is connected to the information acquisition module and performs remote switching and displacement operations on the information acquisition module; the data transmission module is connected to the information acquisition module and sends the video signal and other signals of the power equipment collected in real time; the power supply module provides electrical energy for the information acquisition module and the data transmission module.

[0011] Further, the alarm module sends the received second alarm signal to the 5G boundary controller, and the second alarm signal is sent to the Internet of Things cloud platform after passing through the virtual hardware module, the front-end communication module, the active application integration module, and the back-end communication module.

[0012] Compared with the prior art, the present invention has the following beneficial effects:

[0013] The present invention supports multiple industrial communication protocols to access industrial devices, communicates with the Internet of Things cloud platform using the mainstream Internet of Things communication protocol MQTT, improves the openness of industrial devices, upgrades traditional primary electrical equipment to Internet of Things data nodes, and enables it to support the control of mobile apps, effectively improving the informatization level of traditional industrial devices; leveraging the high-speed feature of 5G, the time for alarm information to reach the cloud from the boundary controller will be doubled, meeting the synchronous alarm requirements of industries with extremely high requirements for timely push of abnormal power consumption information. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a block diagram of the architecture of the power equipment online monitoring system based on a 5G boundary controller according to an embodiment of the present invention.

[0015] Figure 2 It is a schematic diagram of the module structure of the 5G boundary controller according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] The present invention will be further described in detail below with reference to the accompanying drawings.

[0017] In the present disclosure, aspects of the present invention are described with reference to the accompanying drawings, and many illustrative embodiments are shown in the drawings. It should be understood that the various concepts and embodiments introduced above, as well as those described in more detail below, can be implemented in any of many ways, because the concepts and embodiments disclosed in the present invention are not limited to any embodiment. Additionally, some aspects of the present invention can be used alone, or in any suitable combination with other aspects of the present invention.

[0018] Embodiment 1:

[0019] The power equipment online monitoring system based on a 5G boundary controller provided in the present application will be described in detail below with reference to the accompanying drawings.

[0020] As Figure 1 shown, a power equipment online monitoring system based on a 5G boundary controller provided in an embodiment of the present application includes a monitoring module, a 5G boundary controller, an alarm module, and an Internet of Things cloud platform module.

[0021] The monitoring module includes an information collection module, a data transmission module, a power supply module, and a main control module.

[0022] The information acquisition module includes an access camera, a voltage transformer, a temperature sensor, and a humidity sensor. The access camera is used to perform video monitoring on the surface morphology and interface status of power equipment. The voltage transformer, temperature sensor, and humidity sensor are used to collect the status information (such as voltage, temperature, etc.) of power equipment. The main control module is connected to the information acquisition module and is used to perform remote switching and displacement operations on the information acquisition module. The data transmission module is connected to the information acquisition module and is used to send the video signal and data signal of the power equipment collected in real time. The power supply module is connected to the information acquisition module and the data transmission module and is used to provide electrical energy.

[0023] As shown in the appendix Figure 2 The 5G border controller is used to summarize the real-time power equipment status information data collected by the information acquisition module and the second alarm signal record data sent by the alarm module, and upload it to the Internet of Things cloud platform after preprocessing.

[0024] The 5G border controller includes a communication protocol module, a database module, an active application integration module, a data-driven module, and a virtual hardware module.

[0025] The virtual hardware module provides a unified and convenient hardware access interface for callers, isolates other functional modules from specific hardware, and improves the portability of software. As a medium for data transmission and standardization, the virtual hardware module provides a virtual hardware platform for the operating system, making it hardware-independent and portable on multiple platforms. At the same time, it is convenient for staff to configure data formats and alarm files according to the specific conditions of local distribution networks, so that the system can be applied to the monitoring of different distribution networks and realize multiple monitoring functions.

[0026] The database module includes a configuration database, a real-time database, and a historical database. The configuration database is generated offline by a configuration tool and provides various configurations of the cloud controller in the form of files. The real-time database is a memory-based database that stores the communication data between the front-end device and the back-end system. The historical database is a file-based database that stores historical data meeting specific conditions. In this embodiment, it is the power equipment status information data within thirty days and the power equipment monitoring video information within seven days.

[0027] The data-driven module encapsulates the driving operations of the database, enabling callers to not need to pay attention to specific SQL statement writing, database connection, etc. operations, isolating the table structure of the database from specific applications, and leaving room for database transplantation and table structure changes that may occur during the development process.

[0028] The active application integration module encapsulates the inter - process communication interface. On the one hand, it encapsulates complex inter - process communication into easily callable library functions. On the other hand, it also provides a function similar to the interface adapter in object - oriented design, facilitating the development and adjustment of applications.

[0029] The communication protocol module includes a front - end communication module and a back - end communication module. The 5G wireless transmission board carried by the front - end communication module communicates with the information acquisition module of the monitoring module through a virtual hardware module, obtains its sensing data and issues control commands. The back - end communication module carries a 5G wireless transmission board, which can access the real - time database by encapsulating inter - process communication into the form of easily callable library functions through the active application integration module, establish a Modbus conversion communication protocol, encapsulate communication data in the data unit format specified by the communication protocol, and forward the data to the Internet of Things cloud platform for processing in the form of Bluetooth / WIFI through the virtual hardware module.

[0030] The 5G boundary controller further includes a debugging process module, which is used to access an external operating system and debug the 5G boundary controller, including setting the communication protocol of the 5G boundary controller, modifying configuration files, calling data, etc.

[0031] The alarm module is used for emergency alarm in the aspect of electrical fire monitoring. It compares other data (including real - time temperature information, real - time humidity information, etc.) of power equipment received except video data with a set reference value. When other data exceeds the reference value, a second alarm signal is generated and sent to the 5G boundary controller. The 5G boundary controller directly sends the second alarm signal to the Internet of Things cloud platform, and the Internet of Things cloud platform sends the alarm information to the operation and maintenance personnel so that they can timely check the operation status of power equipment. The second alarm signal sent by the alarm module does not need to go through the calculation of the 5G boundary controller and is directly sent to the Internet of Things cloud platform, saving operation time and improving the alarm efficiency.

[0032] Staff can view data, live video, alarm information, and historical videos of the operation status of power equipment through the cloud platform. Data viewing supports querying various data and charts generated during the operation of power equipment by time; live video viewing supports viewing the live videos of each camera, and automatically switches the upload status of the live stream according to the live status of the camera. When there is no user viewing the live stream, the camera automatically disconnects the upload of the live stream, saving traffic consumption; alarm viewing supports viewing the associated saved historical videos according to the alarm information, which can greatly facilitate the operation and maintenance personnel to query and locate the alarms generated by the equipment and the videos before and after the alarm occurrence time; historical video viewing supports querying the historical videos saved by the camera by time, facilitating the operation and maintenance personnel to view the historical operation status of the equipment.

[0033] Next, taking the diagnosis and alarm of power fluctuations in the distribution network as an example, the specific operation process of the monitoring system is described as follows: The information acquisition module of the monitoring module sends the collected video signal to the virtual hardware module of the 5G boundary controller. After generating video data from the video signal, the virtual hardware module sends it to the active application integration module through the front-end communication protocol. The active application integration module stores the video data in the real-time database, obtains the configuration file from the configuration database, and calculates and analyzes the video data and the configuration file. When an abnormal situation is detected, a first alarm signal is generated and transmitted to the Internet of Things cloud platform through the back-end communication protocol and the virtual hardware module; the information acquisition module of the monitoring module sends other signals except the video signal to the alarm module. The alarm module determines whether various types of data of other signals exceed the set reference value. If so, a second alarm signal is sent to the 5G boundary controller. After receiving the second alarm signal, the virtual hardware module and the front-end communication protocol module of the 5G boundary controller send it to the Internet of Things cloud platform through the active application integration module and the back-end communication protocol.

[0034] The 5G network on which the system is based has the characteristics of low latency and high reliability. The LTE network has advanced the latency of the mobile network to the 100ms mark, making the electrical fire monitoring system with relatively high real-time requirements more reliable, and the antenna is smaller. The antenna is embedded in the power distribution cabinet of the power equipment, which is more convenient for transmitting location information.

[0035] The 5G boundary controller has rich interface definitions, supporting 2 serial ports RS485, 6 Ethernet ports, 2 Ethernet ports, 2 DIs, 2 D0s, 1 USB, etc., meeting the access requirements of various meters, circuit breakers, protection devices and other equipment. The 5G boundary controller uses the Huawei MH5000-31 module, supporting full network access; the 5G boundary controller uses a 4-core ARM Cortex-A72 processor, with a maximum support of 1.8GHz and 2GB DDR4 RAM, and the data throughput can reach up to 2.1GT / s at most.

[0036] The advantages of the power equipment online monitoring system based on the 5G boundary controller are as follows:

[0037] (1) It supports multiple industrial communication protocols to access industrial equipment, uses the mainstream Internet of Things communication protocol MQTT to communicate with the Internet of Things cloud platform, improves the openness of industrial equipment, upgrades traditional primary electrical equipment to Internet of Things data nodes, and the transmission is more efficient.

[0038] (2) By standardizing various status information in the power equipment distribution cabinet, a large amount of data can be transmitted at high speed through the same transmission path, with a high degree of integration, improving the data transmission capacity while reducing the construction cost, and solving the problems of poor data transmission compatibility of traditional boundary controllers and high costs of multiple transmission paths.

[0039] (3) Based on the 5G communication method, the real-time transmission and analysis monitoring of data in the power equipment distribution cabinet can be realized, which can effectively improve the alarm efficiency of power equipment.

[0040] (4) The data processing and alarm are divided into two paths. The large-volume video stream is processed by the 5G boundary controller and then transmitted to the Internet of Things cloud platform. The temperature and humidity data with small volume are simply compared and processed by the alarm module and then transmitted to the Internet of Things cloud platform through the 5G boundary controller, improving the alarm efficiency of power equipment.

[0041] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An online monitoring system for power equipment based on a 5G border controller, characterized in that It includes a monitoring module, a 5G border controller, an alarm module, and an Internet of Things cloud platform; the monitoring module sends the collected video signals to the 5G border controller, and the 5G border controller analyzes and processes the video signals to obtain video data. When an abnormal situation is analyzed, a first alarm signal is generated, and the first alarm signal and the video data are transmitted to the Internet of Things cloud platform. Otherwise, the video data is transmitted to the Internet of Things cloud platform; the monitoring module sends other signals except the video signals to the alarm module, and the alarm module judges whether the various data of other signals exceed the set reference value. If it exceeds, a second alarm signal is sent to the 5G border controller, and after receiving the second alarm signal, the 5G border controller sends it to the Internet of Things cloud platform; The 5G border controller includes a communication protocol module, a database module, a first active application integration module, a second active application integration module, a data driving module, a first virtual hardware module, and a second virtual hardware module; The database module includes a configuration database, a real-time database, and a historical database; the configuration database provides various configuration files for the 5G border controller, the real-time database stores the real-time communication data received and sent by the 5G border controller, and the historical database stores the historical power data that meets specific conditions; The communication protocol module includes a front-end communication module and a back-end communication module. The front-end communication module transmits data with the information acquisition module of the monitoring module through the first virtual hardware module; the back-end communication module encapsulates the inter-process communication into a form of library functions that are easy to call through the second active application integration module to access the real-time database, and encapsulates the communication data in the data unit format specified by the communication protocol and forwards it to the Internet of Things cloud platform through the second virtual hardware module.

2. The on-line monitoring system for power equipment based on a 5G border controller according to claim 1, characterized in that, The data driving module encapsulates the driving operations of each database in the database module, isolating the table structure of the database from the specific application.

3. The on-line monitoring system for power equipment based on a 5G border controller according to claim 2, characterized in that The first and second virtual hardware modules provide a unified hardware access interface, isolating other functional modules from the specific hardware, and the first and second active application integration modules encapsulate the inter-process communication interface; The first virtual hardware module receives the video signals sent by the monitoring module, generates video data from the video signals and sends them to the first active application integration module through the front-end communication module. The first active application integration module stores the video data in the real-time database. The second active application integration module obtains the configuration file from the configuration database, and calculates and analyzes the video data and the configuration file. When an abnormal situation is analyzed, a first alarm signal is generated, and the first alarm signal is sent to the Internet of Things cloud platform through the back-end communication module and the second virtual hardware module.

4. The on-line monitoring system for power equipment based on a 5G border controller according to claim 3, wherein The monitoring module includes an information collection module, a data transmission module, a power supply module, and a main control module; the information collection module includes an access camera, a voltage transformer, a temperature sensor, and a humidity sensor. The access camera conducts video monitoring on the surface form and interface status of the power equipment, and the voltage transformer, temperature sensor, and humidity sensor collect the status information of the power equipment; the main control module is connected to the information collection module and performs remote switching and displacement operations on the information collection module; the data transmission module is connected to the information collection module and sends the video signal and other signals of the power equipment collected in real time; the power supply module provides electrical energy for the information collection module and the data transmission module.

5. The on-line monitoring system for power equipment based on a 5G border controller according to claim 4, wherein The alarm module sends the second alarm signal to the 5G border controller, and the second alarm signal is sent to the Internet of Things cloud platform after passing through the first virtual hardware module, the front-end communication module, the first active application integration module, the real-time database, the second active application integration module, the back-end communication module, and the second virtual hardware module.

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