Electric power facility remote monitoring method based on Internet of Things

Abstract

The invention relates to the technical field of the Internet of Things, in particular to an electric power facility remote monitoring method based on the Internet of Things. The method comprises the following steps: installing an Internet of Things sensor on the electric power facility for collecting operation data of the electric power facility; the configuration data acquisition module and the wireless communication module are used for receiving data acquired by the Internet of Things sensor and uploading the data to the cloud server; a data analysis algorithm and monitoring report generation module is deployed in the cloud server and is used for processing and analyzing data; and a remote monitoring terminal is configured for receiving data of the cloud server and realizing remote monitoring and management. According to the invention, real-time monitoring, data analysis and remote management of electric power facilities can be realized, the monitoring accuracy and response speed are improved, and the operation and maintenance cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and in particular to a remote monitoring method for electric power facilities based on Internet of Things. Background Art

[0002] The safe operation of power facilities is the key to ensuring the stability of power supply. Traditional power facility monitoring methods rely on manual inspections, which have problems such as long inspection cycles, inaccurate data, and slow response speeds. With the development of Internet of Things technology, it has become possible to achieve real-time monitoring of power facilities through technologies such as sensors and wireless communications. However, existing Internet of Things monitoring solutions still need to be improved in terms of real-time data processing, accuracy, and system scalability. Summary of the invention

[0003] The technical problem to be solved by the present invention is: to overcome the shortcomings of the prior art and provide a remote monitoring method for power facilities based on the Internet of Things, which can realize real-time monitoring, data analysis and remote management of power facilities, improve the accuracy and response speed of monitoring, and reduce operation and maintenance costs.

[0004] The technical solution of the present invention is:

[0005] A remote monitoring method for electric power facilities based on the Internet of Things comprises the following steps:

[0006] Installing IoT sensors on power facilities to collect operation data of the power facilities, wherein the IoT sensors include temperature sensors, humidity sensors, voltage sensors, current sensors, vibration sensors and gas sensors;

[0007] A data acquisition module and a wireless communication module are configured to receive data collected by IoT sensors and upload them to a cloud server. The data acquisition module has a data preprocessing function.

[0008] Deploy data analysis algorithms and monitoring report generation modules on cloud servers to process and analyze data, identify abnormal data, predict potential failures, and generate monitoring reports containing power facility operating status, abnormal alarms, and maintenance recommendations;

[0009] A remote monitoring terminal is configured to receive data from the cloud server to achieve remote monitoring and management. The remote monitoring terminal supports mobile phones, tablet computers, and laptop computers, and has real-time data display, historical data query, alarm information push and remote control functions.

[0010] Preferably, the cloud server sends alarm information to the operation and maintenance personnel through the remote monitoring terminal, and the alarm information includes the abnormality type, abnormality level, abnormality location, abnormality time, recommended handling measures and emergency contact information.

[0011] Preferably, the cloud server also has an intelligent scheduling function, which automatically assigns the nearest operation and maintenance personnel to handle the abnormal data according to the urgency of the abnormal data and the geographical location of the operation and maintenance personnel.

[0012] Preferably, the IoT sensor adopts a low-power design, has self-organizing and self-repairing functions, and automatically adjusts the acquisition frequency and data transmission path to adapt to the needs of different environments and power facilities.

[0013] Preferably, the cloud server adopts a distributed architecture, including multiple data processing nodes, each node is responsible for processing power facility data in a specific area, and data synchronization and backup are achieved between the nodes to ensure data redundancy and reliability.

[0014] Preferably, the data acquisition module also has a data encryption function, which is used to encrypt the data collected by the Internet of Things sensor during data transmission to ensure the security of the data.

[0015] Preferably, the cloud server also includes a load balancing module for dynamically allocating data processing tasks according to the load conditions of each node to balance the load of each node, avoid single-point overload, and improve the overall performance and stability of the system.

[0016] Preferably, the cloud server also includes a data backup and recovery module for regularly backing up monitoring data and quickly restoring data when it is lost or damaged, thereby ensuring data integrity and reliability.

[0017] Compared with the prior art, the present invention has the following beneficial effects:

[0018] By installing a variety of IoT sensors on power facilities, it is possible to comprehensively collect the operating data of power facilities, including key information such as temperature, humidity, voltage, current, vibration and gas, providing a rich data foundation for subsequent fault prediction and maintenance; the configured data acquisition module and wireless communication module can receive the data collected by the IoT sensors in real time, and upload it to the cloud server after pre-processing. The cloud server can efficiently process and analyze data through the deployed data analysis algorithm and monitoring report generation module, quickly identify anomalies and predict potential faults; the cloud server also has an intelligent scheduling function, which can automatically assign the nearest operation and maintenance personnel to handle it according to the urgency of the abnormal data and the geographical location of the operation and maintenance personnel, thereby improving the operation and maintenance efficiency and resource utilization. DETAILED DESCRIPTION

[0019] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in combination with 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 should fall within the scope of protection of the present invention.

[0020] Example

[0021] This embodiment provides a remote monitoring method for power facilities based on the Internet of Things, and its operation process is summarized as follows:

[0022] First, an IoT sensor kit is installed at key locations of power facilities. This kit integrates multiple sensing functions such as temperature, humidity, voltage, current, vibration, and gas to comprehensively capture the operating status information of power facilities.

[0023] Next, a data acquisition and wireless communication system is configured. The system is responsible for receiving data from IoT sensors and has preliminary data processing capabilities, and then transmits the data to the cloud server wirelessly.

[0024] Advanced data analysis algorithms and automatic monitoring report generation systems are deployed on cloud servers. These tools can deeply analyze data, identify abnormal conditions, predict potential failure risks, and generate detailed monitoring reports, including the operation overview of power facilities, abnormal alarm information, and maintenance recommendations.

[0025] In addition, the solution also provides remote monitoring terminals that support access from multiple devices such as mobile phones, tablets, and laptops. Users can use these terminals to view data in real time, query historical records, receive alarm notifications, and perform remote control operations.

[0026] In terms of optimization measures, the cloud server can push detailed alarm information to the operation and maintenance personnel, covering key information such as abnormality type, urgency, specific location, occurrence time, handling suggestions and emergency contacts. At the same time, the server has a built-in intelligent scheduling function, which automatically dispatches the nearest operation and maintenance force to deal with it according to the urgency of the abnormal situation and the geographical distribution of the operation and maintenance personnel.

[0027] IoT sensors are energy-saving in design, have self-networking and repair capabilities, and can automatically adjust data collection and transmission strategies according to environmental and facility requirements. Cloud servers use a distributed architecture, with multiple data processing nodes working together to ensure redundant storage and reliable transmission of data. At the same time, encryption technology is used in the data collection process to ensure data security.

[0028] To further improve system performance and stability, the cloud server is also equipped with a load balancing module that can dynamically allocate tasks according to the load status of each node. In addition, a data backup and recovery mechanism is also set up to ensure the safe storage and rapid recovery of monitoring data, and maintain the integrity and reliability of the data.

[0029] Although the present invention has been described in detail in conjunction with the preferred embodiments, the present invention is not limited thereto. Without departing from the spirit and essence of the present invention, a person of ordinary skill in the art may make various equivalent modifications or substitutions to the embodiments of the present invention, and these modifications or substitutions shall be within the scope of the present invention. Any person of ordinary skill in the art may easily think of changes or substitutions within the technical scope disclosed by the present invention, and these shall be within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of protection of the claims.

Claims

1. A remote monitoring method for power facilities based on the Internet of Things, characterized in that: The steps include: Installing IoT sensors on power facilities to collect operation data of the power facilities, wherein the IoT sensors include temperature sensors, humidity sensors, voltage sensors, current sensors, vibration sensors and gas sensors; A data acquisition module and a wireless communication module are configured to receive data collected by IoT sensors and upload them to a cloud server. The data acquisition module has a data preprocessing function. Deploy data analysis algorithms and monitoring report generation modules on cloud servers to process and analyze data, identify abnormal data, predict potential failures, and generate monitoring reports containing power facility operating status, abnormal alarms, and maintenance recommendations; A remote monitoring terminal is configured to receive data from the cloud server to achieve remote monitoring and management. The remote monitoring terminal supports mobile phones, tablet computers, and laptop computers, and has real-time data display, historical data query, alarm information push and remote control functions.

2. The method for remote monitoring of electric power facilities based on the Internet of Things according to claim 1, characterized in that: The cloud server sends alarm information to the operation and maintenance personnel through the remote monitoring terminal, and the alarm information includes the abnormality type, abnormality level, abnormality location, abnormality time, recommended processing measures and emergency contact information.

3. The method for remote monitoring of electric power facilities based on the Internet of Things according to claim 2, characterized in that: The cloud server also has an intelligent scheduling function, which automatically assigns the nearest operation and maintenance personnel to handle the abnormal data according to the urgency of the abnormal data and the geographical location of the operation and maintenance personnel.

4. The method for remote monitoring of electric power facilities based on the Internet of Things according to claim 1, characterized in that: The IoT sensor adopts a low-power design, has self-organizing and self-repairing functions, and automatically adjusts the collection frequency and data transmission path to adapt to the needs of different environments and power facilities.

5. The method for remote monitoring of electric power facilities based on the Internet of Things according to claim 1, characterized in that: The cloud server adopts a distributed architecture, including multiple data processing nodes, each of which is responsible for processing the power facility data of a specified area. Data synchronization and backup are achieved between the nodes to ensure data redundancy and reliability.

6. The method for remote monitoring of electric power facilities based on the Internet of Things according to claim 1, characterized in that: The data acquisition module also has a data encryption function, which is used to encrypt the data collected by the IoT sensor during data transmission to ensure the security of the data.

7. The method for remote monitoring of electric power facilities based on the Internet of Things according to claim 1, characterized in that: The cloud server also includes a load balancing module for dynamically allocating data processing tasks according to the load conditions of each node to balance the load of each node, avoid single-point overload, and improve the overall performance and stability of the system.

8. The method for remote monitoring of electric power facilities based on the Internet of Things according to claim 1, characterized in that: The cloud server also includes a data backup and recovery module for regularly backing up monitoring data and quickly restoring data when it is lost or damaged, thereby ensuring the integrity and reliability of the data.