Power equipment monitoring and early warning system and method based on cloud platform

Abstract

The invention relates to the technical field of power equipment monitoring and early warning, and provides a power equipment monitoring and early warning system and method based on a cloud platform, and a monitoring host, which are used for collecting operation data on power equipment in real time and have the authority of emergency stop of the power equipment. The data monitoring cloud platform is used for receiving the operation parameter information, uploaded by the monitoring host, of the power equipment and calculating the parameter information to reflect whether the operation state of the power equipment is normal or not; and the remote control platform is carried on mobile equipment of a user and remote control equipment so as to receive the data sent by the data monitoring cloud platform and control the data monitoring platform to be remote. According to the invention, remote monitoring and control of the power equipment are realized, so that a worker can manage and maintain the power equipment without going to the site personally, more intuitive geographic position and state management of the power equipment is realized, the working efficiency and safety are improved, and rapid positioning and response are facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment monitoring and early warning, and in particular to a cloud platform-based power equipment monitoring and early warning system and method. Background Art

[0002] The terminal transmission of electric power is carried out through regional divisions. Usually, these power equipment include distribution boxes, transformers, switch cabinets, high-voltage cabinets and low-voltage cabinets, etc. The staff needs to monitor the operating status of these equipment regularly. Since the terminal power transmission is composed of countless small units, the power transmission and equipment monitoring of the small units can only be monitored by the staff in the area. The usual monitoring method for power transmission in the existing terminal small units is that the staff conducts on-site inspections, mainly inspecting the power data of the equipment operation, the operating environment of the equipment, and whether there is a risk of failure or fire. However, real-time monitoring is still impossible. Usually, failures still occur, and the maintenance cost of the equipment is bound to increase greatly. Therefore, remote supervision through the network can not only monitor in real time, but also improve the accuracy of supervision. Therefore, remote supervision of power equipment occupies an extremely important position in the daily operation of power equipment.

[0003] At present, the power equipment monitoring and early warning system in the prior art still has shortcomings. When the existing system remotely monitors the power equipment, it generally realizes direct data observation through alarm reminders, lacks the convenience of subsequent offline maintenance for abnormal power equipment, and takes time to find the power equipment, which greatly reduces the convenience of maintenance. Therefore, a power equipment monitoring and early warning system and method based on a cloud platform are needed. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a cloud platform-based power equipment monitoring and early warning system and method, which can improve the convenience of offline maintenance of abnormal power equipment and shorten the time for finding abnormal power equipment.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: A cloud platform-based power equipment monitoring and early warning system, comprising: The monitoring host is used to collect real-time operating data on the power equipment, including parameter information of the power equipment such as output working voltage, current flow, output power, etc., and has the authority to emergency stop the power equipment; The data monitoring cloud platform is used to receive the operating parameter information of the power equipment uploaded by the monitoring host, and calculate the parameter information to reflect whether the operating status of the power equipment is normal, and can send control commands to the monitoring host to respond to the abnormal status of the power equipment, and can record and back up the operating parameter information uploaded by the monitoring host within a certain period of time, so that an abnormality report can be called up after the power equipment is abnormal; The remote control platform is used to be mounted on the user's mobile device and remote control device to receive data sent by the data monitoring cloud platform and control the data monitoring platform remotely.

[0006] Preferably, the monitoring host includes: Data acquisition module, used to collect power equipment operating parameters and upload them to the data monitoring cloud platform; The equipment emergency stop module is connected to the power supply part of the electric equipment to cut off the power supply of the electric equipment and perform emergency power off; The backup power module is used to provide temporary power when an abnormal power outage occurs in the power equipment.

[0007] Preferably, the data monitoring cloud platform includes: An electric equipment marking module, used to mark each monitored electric equipment with a number; The data integration module is used to organize the received power equipment operating parameters and classify the parameters according to the power equipment numbers; The anomaly detection module is used to perform real-time detection and analysis on the uploaded operating parameters, draw a parameter line graph, and record the fluctuation trend of the line graph. When the fluctuation trend exceeds the threshold, an early warning is issued; A command transceiver module is used to receive commands from remote devices and send control commands to the monitoring host; Data transmission module, used for remotely transmitting data of power equipment and synchronizing the operating status of power equipment in real time; The data backup module is used to back up the recorded parameter data in the cloud and export parameter reports when needed.

[0008] Preferably, the remote control platform includes: Control framework to read information and control commands, thereby controlling the data monitoring cloud platform; The information receiving module is used to receive data sent by the data monitoring cloud platform.

[0009] Preferably, the control framework includes: The information display unit is used to display the received power equipment parameters on the screen of the device. The power equipment parameters correspond to the monitored power equipment numbers, and the numbers are arranged and arranged according to the actual positions of the power equipment. The power equipment at different positions is classified, and the same classification set will be synchronously displayed on the satellite map to monitor and manage the power equipment at different positions. A command list menu unit, used to display a menu for sending commands and a menu for retrieving power equipment on the screen of the device; The touch command input unit supports convenient operations on the remote device by touch.

[0010] Preferably, the control framework supports language information display in Chinese characters.

[0011] A cloud platform-based power equipment monitoring and early warning method comprises the following steps: Step 1: The monitoring host monitors the parameters of the transport data of the power equipment, collects the operating parameters of the power equipment, and transmits and uploads them to the data monitoring cloud platform; Step 2: The data monitoring cloud platform receives the operating parameters of the power equipment, sorts out the received operating parameters of the power equipment, and allocates and stores them according to the numbers of the power equipment; Step 3: Perform real-time detection and analysis on the uploaded operating parameters, draw a parameter line graph, and record the fluctuation trend of the line graph. When the fluctuation trend exceeds the threshold, an early warning is issued; Step 4: The data monitoring cloud platform sends data to the remote control platform; Step 5: The user determines whether the power equipment is abnormal based on the data received by the remote control platform, and sends commands to the monitoring cloud platform by controlling the remote control platform to control the monitoring host to perform corresponding operations; Step 6. When an abnormality occurs in the power equipment, the monitoring cloud platform will immediately send a power-off command to the monitoring host to cut off the power supply of the power equipment at the corresponding location.

[0012] Preferably, the numbering standard of the power equipment in step 2 is: the power equipment in the same area uses any one of the twenty-six letters as a prefix, and different individual power equipment in the same area uses numbers as suffixes in sequence.

[0013] Preferably, the threshold limit interval in step three is set at (-α, +α), and when the fluctuation trend exceeds the threshold value X times, an early warning is issued to prevent failure of the power equipment before it occurs.

[0014] Preferably, the specific steps for controlling the monitoring host in step five are: choosing any one of the methods of manually searching on the satellite map or searching through the command list menu to find the power equipment in the corresponding classification collection, and controlling the monitoring host equipped with the power equipment through the functions in the command list menu.

[0015] The present invention provides a cloud platform-based power equipment monitoring and early warning system and method, which has the following beneficial effects: 1. The present invention realizes remote monitoring and control of power equipment by synchronously displaying power equipment in different locations through satellite maps and remote control, so that staff can manage and maintain power equipment without going to the site in person, and has more intuitive geographical location and status management of power equipment, which improves work efficiency and safety and facilitates rapid positioning and response.

[0016] 2. The present invention monitors the operating parameters of power equipment in real time, and uses a cloud platform to collect, analyze and warn data, thereby improving the real-time and accuracy of power equipment monitoring, and can issue a warning before an abnormality occurs in the power equipment, providing valuable time for preventing and handling faults, and reducing the risk of power outages and maintenance costs caused by equipment failures. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic diagram of a cloud platform-based power equipment monitoring and early warning system of the present invention; Figure 2 A schematic diagram of a monitoring host system of a cloud platform-based power equipment monitoring and early warning system of the present invention; Figure 3 A schematic diagram of a data cloud platform system of a cloud platform-based power equipment monitoring and early warning system of the present invention; Figure 4 A schematic diagram of a remote control platform system of a power equipment monitoring and early warning system based on a cloud platform of the present invention; Figure 5 This is a schematic diagram of a control framework system of a cloud platform-based power equipment monitoring and early warning system of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Example: As one aspect of this application, please see the attached Figure 1 -Attached Figure 5 The embodiment of the present invention provides a cloud platform-based power equipment monitoring and early warning system, including: The monitoring host is used to collect real-time operating data on the power equipment, including parameter information of the power equipment such as output working voltage, current flow, output power, etc., and has the authority to emergency stop the power equipment, including: Data acquisition module, used to collect power equipment operating parameters and upload them to the data monitoring cloud platform; The equipment emergency stop module is connected to the power supply part of the electric equipment to cut off the power supply of the electric equipment and perform emergency power off; The backup power module is used to provide temporary power when an abnormal power outage occurs in the power equipment.

[0020] The data monitoring cloud platform is used to receive the power equipment operating parameter information uploaded by the monitoring host, and calculate the parameter information to reflect whether the operating status of the power equipment is normal, and can send control commands to the monitoring host to respond to the abnormal status of the power equipment, and can record and back up the operating parameter information uploaded by the monitoring host within a certain period of time, so that after the power equipment is abnormal, it can call out an abnormal report, including: An electric equipment marking module, used to mark each monitored electric equipment with a number; The data integration module is used to organize the received power equipment operating parameters and classify the parameters according to the power equipment numbers; The anomaly detection module is used to perform real-time detection and analysis on the uploaded operating parameters, draw a parameter line graph, and record the fluctuation trend of the line graph. When the fluctuation trend exceeds the threshold, an early warning is issued; A command transceiver module is used to receive commands from remote devices and send control commands to the monitoring host; Data transmission module, used for remotely transmitting data of power equipment and synchronizing the operating status of power equipment in real time; The data backup module is used to back up the recorded parameter data in the cloud and export parameter reports when needed.

[0021] The remote control platform is composed of a control framework and an information receiving module, which is used to be mounted on the user's mobile device and remote control device to receive data sent by the data monitoring cloud platform and control the data monitoring platform remotely. The control framework is used to read information and control commands, thereby controlling the data monitoring cloud platform. The control framework supports the display of language information in Chinese characters to provide a convenient and easy-to-understand operating system. The information receiving module is used to receive data sent by the data monitoring cloud platform. Among them, the control framework includes: The information display unit is used to display the received power equipment parameters on the screen of the device. The power equipment parameters correspond to the monitored power equipment numbers, and the numbers are arranged and arranged according to the actual positions of the power equipment. The power equipment at different positions is classified, and the same classification set will be synchronously displayed on the satellite map to monitor and manage the power equipment at different positions. A command list menu unit, used to display a menu for sending commands and a menu for retrieving power equipment on the screen of the device; The touch command input unit supports convenient operations on the remote device by touch.

[0022] Based on the above-mentioned cloud platform-based power equipment monitoring and early warning system, as another aspect of the present application, a cloud platform-based power equipment monitoring and early warning method includes the following steps: Step 1: The monitoring host monitors the parameters of the transport data of the power equipment, collects the operating parameters of the power equipment, and transmits and uploads them to the data monitoring cloud platform; Step 2: The data monitoring cloud platform receives the operating parameters of the power equipment, sorts the received operating parameters of the power equipment, and allocates and stores the numbers of the power equipment. The number setting standard of the power equipment is: the power equipment in the same area uses any one of the 26 letters as a prefix, and the power equipment of different individuals in the same area uses numbers as suffixes in sequence; Step 3: Perform real-time detection and analysis on the uploaded operating parameters, draw a parameter line graph, and record the fluctuation trend of the line graph. When the fluctuation trend exceeds the threshold, an early warning is issued. The threshold limit interval is set at (-α, +α). When the fluctuation trend exceeds the threshold X times, an early warning is issued to prevent the power equipment from failing. Step 4: The data monitoring cloud platform sends data to the remote control platform; Step 5. The user determines whether the power equipment is abnormal based on the data received by the remote control platform, and sends commands to the monitoring cloud platform by controlling the remote control platform to control the monitoring host to perform corresponding operations. The specific steps of controlling the monitoring host are: select any one of the methods of manually searching on the satellite map or searching through the command list menu to find the power equipment in the corresponding classification collection, and control the monitoring host equipped with the power equipment through the functions in the command list menu; Step 6. When an abnormality occurs in the power equipment, the monitoring cloud platform will immediately send a power-off command to the monitoring host to cut off the power supply of the power equipment at the corresponding location.

[0023] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A cloud platform-based power equipment monitoring and early warning system, characterized in that: include: The monitoring host is used to collect real-time operating data on the power equipment, including parameter information of the power equipment such as output working voltage, current flow, output power, etc., and has the authority to emergency stop the power equipment; The data monitoring cloud platform is used to receive the operating parameter information of the power equipment uploaded by the monitoring host, and calculate the parameter information to reflect whether the operating status of the power equipment is normal, and can send control commands to the monitoring host to respond to the abnormal status of the power equipment, and can record and back up the operating parameter information uploaded by the monitoring host within a certain period of time, so that an abnormality report can be called up after the power equipment is abnormal; The remote control platform is used to be mounted on the user's mobile device and remote control device to receive data sent by the data monitoring cloud platform and control the data monitoring platform remotely.

2. According to the cloud platform-based power equipment monitoring and early warning system of claim 1, it is characterized in that: The monitoring host comprises: Data acquisition module, used to collect power equipment operating parameters and upload them to the data monitoring cloud platform; The equipment emergency stop module is connected to the power supply part of the electric equipment to cut off the power supply of the electric equipment and perform emergency power off; The backup power module is used to provide temporary power when an abnormal power outage occurs in the power equipment.

3. The cloud platform-based power equipment monitoring and early warning system according to claim 1 is characterized in that: The data monitoring cloud platform includes: An electric equipment marking module, used to mark each monitored electric equipment with a number; The data integration module is used to organize the received power equipment operating parameters and classify the parameters according to the numbers of the power equipment; The anomaly detection module is used to perform real-time detection and analysis on the uploaded operating parameters, draw a parameter line graph, and record the fluctuation trend of the line graph. When the fluctuation trend exceeds the threshold, an early warning is issued; A command transceiver module is used to receive commands from remote devices and send control commands to the monitoring host; Data transmission module, used for remotely transmitting data of power equipment and synchronizing the operating status of power equipment in real time; The data backup module is used to back up the recorded parameter data in the cloud and export parameter reports when needed.

4. The cloud platform-based power equipment monitoring and early warning system according to claim 1 is characterized in that: The remote control platform includes: Control framework to read information and control commands, thereby controlling the data monitoring cloud platform; The information receiving module is used to receive data sent by the data monitoring cloud platform.

5. The cloud platform-based power equipment monitoring and early warning system according to claim 4 is characterized in that: The control framework includes: The information display unit is used to display the received power equipment parameters on the screen of the device. The power equipment parameters correspond to the monitored power equipment numbers, and the numbers are arranged and arranged according to the actual positions of the power equipment. The power equipment at different positions is classified, and the same classification set will be synchronously displayed on the satellite map to monitor and manage the power equipment at different positions. A command list menu unit, used to display a menu for sending commands and a menu for retrieving power equipment on the screen of the device; The touch command input unit supports convenient operations on the remote device by touch.

6. The cloud platform-based power equipment monitoring and early warning system according to claim 4 is characterized in that: The control framework supports the display of language information in Chinese characters.

7. A cloud platform-based power equipment monitoring and early warning method, using a cloud platform-based power equipment monitoring and early warning system as claimed in any one of claims 1 to 6, characterized in that: The following steps are involved: Step 1: The monitoring host monitors the parameters of the transport data of the power equipment, collects the operating parameters of the power equipment, and transmits and uploads them to the data monitoring cloud platform; Step 2: The data monitoring cloud platform receives the operating parameters of the power equipment, sorts out the received operating parameters of the power equipment, and allocates and stores them according to the numbers of the power equipment; Step 3: Perform real-time detection and analysis on the uploaded operating parameters, draw a parameter line graph, and record the fluctuation trend of the line graph. When the fluctuation trend exceeds the threshold, an early warning is issued; Step 4: The data monitoring cloud platform sends data to the remote control platform; Step 5: The user determines whether the power equipment is abnormal based on the data received by the remote control platform, and sends commands to the monitoring cloud platform by controlling the remote control platform to control the monitoring host to perform corresponding operations; Step 6. When an abnormality occurs in the power equipment, the monitoring cloud platform will immediately send a power-off command to the monitoring host to cut off the power supply of the power equipment at the corresponding location.

8. The cloud platform-based power equipment monitoring and early warning method according to claim 7 is characterized in that: The numbering standard of the power equipment in step 2 is: the power equipment in the same area uses any one of the twenty-six letters as a prefix, and different individual power equipment in the same area uses numbers as suffixes in sequence.

9. The cloud platform-based power equipment monitoring and early warning method according to claim 7 is characterized in that: In the step three, the threshold limit interval is set at (-α, +α). When the fluctuation trend exceeds the threshold for X times, an early warning is issued to prevent failure of the power equipment.

10. The cloud platform-based power equipment monitoring and early warning method according to claim 7, characterized in that: The specific steps for controlling the monitoring host in step five are: choose any one of the methods of manually searching on the satellite map or searching through the command list menu to find the power equipment in the corresponding classification collection, and control the monitoring host equipped with the power equipment through the functions in the command list menu.

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