Power equipment remote monitoring and operation and maintenance system based on intelligent internet of things

Abstract

The invention discloses a power equipment remote monitoring and operation and maintenance system based on intelligent Internet of Things, and the system comprises an Internet of Things data collection module which is used for collecting sensor data during the operation of power equipment in real time through a sensor disposed on the power equipment, collecting inspection data through an unmanned plane, and transmitting the inspection data to a server; the sensor data and the inspection data are transmitted to a monitoring center; the monitoring center is used for performing multi-modal data fusion on the sensor data and the inspection data to obtain multi-modal data, constructing an equipment state evaluation model based on the multi-modal data, and performing fault early warning processing based on the equipment state evaluation model to obtain an early warning result; and the operation and maintenance center is used for processing the early warning result based on the maintenance strategy to obtain maintenance plan data, processing the early warning result according to a preventive strategy matching model to obtain preventive maintenance strategy data, generating an unmanned aerial vehicle operation and maintenance task based on the inspection data, and controlling the unmanned aerial vehicle to execute operation and maintenance operation based on the unmanned aerial vehicle operation and maintenance task.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric power operation and maintenance, and more specifically, relates to a remote monitoring and operation and maintenance system for electric power equipment based on smart Internet of Things. Background Art

[0002] With the development of modern power systems, the number and types of power equipment continue to increase, and the complexity of power systems has also increased significantly, requiring effective and timely equipment maintenance.

[0003] In the related technologies, the monitoring and operation and maintenance of power equipment mainly rely on manual inspection and regular maintenance. However, manual inspection is costly and inefficient: power equipment is widely distributed, and manual inspection requires a lot of manpower, material resources and time. The inspection efficiency is low and it is difficult to ensure real-time performance. Especially when the number of equipment is large, the inspection workload is huge and the cost is high. Faults are not discovered in time: due to the limited frequency of manual inspection, many equipment failures cannot be discovered and handled in time after they occur, which may cause equipment damage, power outages, and even endanger the stable operation of the power system. Incomplete data collection: traditional monitoring systems mostly rely on local data collection, which cannot fully and accurately reflect the operating status of the equipment, resulting in insufficient basis for fault diagnosis and operation and maintenance decisions, and easy to miss potential risks. Slow response speed: when equipment failure or abnormality occurs, the response speed of manual inspection is slow, and it is impossible to quickly locate the cause of the fault and take corresponding measures, which increases the difficulty and time of fault handling. Low degree of intelligence: traditional monitoring systems are mostly passive monitoring, lack intelligent analysis and prediction capabilities, and it is difficult to achieve preventive maintenance and optimized operation and maintenance of equipment, and cannot fully utilize the advantages brought by modern information technology.

[0004] Therefore, how to lower the threshold for effective monitoring and effective operation and maintenance of power equipment and improve the effectiveness of monitoring and operation and maintenance is a key issue that technical personnel in this field are concerned about. Summary of the invention

[0005] The purpose of this application is to provide a remote monitoring and operation and maintenance system for power equipment based on smart Internet of Things, to lower the threshold for effective monitoring and effective operation and maintenance of power equipment, and to improve the effectiveness of monitoring and operation and maintenance.

[0006] In view of the above defects or improvement needs of the prior art, the present invention provides a remote monitoring and operation and maintenance system for power equipment based on smart Internet of Things, comprising:

[0007] The IoT data acquisition module is used to collect sensor data of the power equipment in real time during operation through sensors provided on the power equipment, collect inspection data through drones, and transmit the sensor data and inspection data to a monitoring center; wherein the sensors include temperature sensors, humidity sensors, current sensors, and voltage sensors;

[0008] A monitoring center is used to perform multimodal data fusion on the sensor data and the inspection data to obtain multimodal data, and to build an equipment status assessment model based on the multimodal data, and to perform fault early warning processing based on the equipment status assessment model to obtain an early warning result;

[0009] The operation and maintenance center is used to process the warning results based on the maintenance strategy to obtain maintenance plan data, process the warning results according to the preventive strategy matching model to obtain preventive maintenance strategy data, generate UAV operation and maintenance tasks based on the inspection data, and control the UAV to perform operation and maintenance operations based on the UAV operation and maintenance tasks.

[0010] Optionally, the IoT data acquisition module includes:

[0011] A sensor acquisition unit, used to respectively collect data from the temperature sensor, the humidity sensor, the current sensor, and the voltage sensor to obtain the sensor data;

[0012] The drone collection unit is used to obtain the inspection data of the drone when the drone inspects a preset position;

[0013] A data transmission unit is used to send the sensor data and the inspection data to the monitoring center through wireless communication technology.

[0014] Optionally, the monitoring center includes:

[0015] A data receiving module, used for receiving the sensor data and the inspection data through wireless communication technology;

[0016] A data fusion module, used for performing multimodal data fusion on the sensor data and the inspection data based on spatiotemporal data to obtain multimodal data;

[0017] An evaluation model building module, used to build the equipment status evaluation model through multimodal data analysis technology and the multimodal data;

[0018] The fault warning module is used to use the equipment status assessment model to perform fault warning processing and obtain a warning result.

[0019] Optionally, the operation and maintenance center includes:

[0020] A maintenance plan output module is used to process the warning result based on the maintenance strategy to obtain maintenance plan data;

[0021] A preventive maintenance module, used to process the warning result according to a preventive strategy matching model to obtain preventive maintenance strategy data; wherein the preventive strategy matching model is a matching model obtained by training based on historical operation and maintenance data;

[0022] The UAV operation and maintenance module is used to generate UAV operation and maintenance tasks based on the inspection data and environmental condition data, and control the UAV to perform operation and maintenance operations based on the UAV operation and maintenance tasks.

[0023] Optionally, also include:

[0024] The drone inspection module is used to generate a drone inspection plan based on a time plan and environmental data, and to perform inspection tasks based on the drone inspection plan.

[0025] Optionally, also include:

[0026] The operation and maintenance data management module is used to create, allocate and track operation and maintenance tasks, and automatically record operations and operation and maintenance tasks.

[0027] Optionally, the IoT data acquisition module further includes:

[0028] The edge computing module is used to perform local analysis and processing on the sensor data and the inspection data to obtain an abnormal analysis result, and send the abnormal analysis result to the monitoring center.

[0029] Optionally, also include:

[0030] A data visualization module is used to display the sensor data and the inspection data through a variety of data visualization tools.

[0031] Optionally, also include:

[0032] The energy efficiency report generation module is used to generate corresponding energy efficiency report data based on the sensor data and the acquired power load data.

[0033] Optionally, also include:

[0034] The data backup module is used to locally back up the sensor data and the inspection data.

[0035] The present application provides a remote monitoring and operation and maintenance system for electric power equipment based on smart Internet of Things, including:

[0036] The IoT data acquisition module is used to collect sensor data of the power equipment in real time during operation through sensors provided on the power equipment, collect inspection data through drones, and transmit the sensor data and inspection data to a monitoring center; wherein the sensors include temperature sensors, humidity sensors, current sensors, and voltage sensors;

[0037] A monitoring center is used to perform multimodal data fusion on the sensor data and the inspection data to obtain multimodal data, and to build an equipment status assessment model based on the multimodal data, and to perform fault early warning processing based on the equipment status assessment model to obtain an early warning result;

[0038] The operation and maintenance center is used to process the warning results based on the maintenance strategy to obtain maintenance plan data, process the warning results according to the preventive strategy matching model to obtain preventive maintenance strategy data, generate UAV operation and maintenance tasks based on the inspection data, and control the UAV to perform operation and maintenance operations based on the UAV operation and maintenance tasks.

[0039] It has the following beneficial effects:

[0040] Through the organic combination of data acquisition and transmission modules, monitoring center, intelligent operation and maintenance modules, and drone-assisted inspection, the system realizes all-round remote monitoring and intelligent operation and maintenance of power equipment. The introduction of drones enhances the comprehensiveness of data collection, further improves the reliability and intelligence of the system, and provides a solid guarantee for the efficient and reliable operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0042] Figure 1 A schematic diagram of the structure of a remote monitoring and operation and maintenance system for electric power equipment based on smart Internet of Things provided in an embodiment of the present application. DETAILED DESCRIPTION

[0043] The purpose of this application is to provide a remote monitoring and operation and maintenance system for power equipment based on smart Internet of Things, to lower the threshold for effective monitoring and effective operation and maintenance of power equipment, and to improve the effectiveness of monitoring and operation and maintenance.

[0044] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0045] The following is an example of an embodiment of a remote monitoring and operation and maintenance system for electric power equipment based on smart IoT provided by the present application.

[0046] Please refer to Figure 1 , Figure 1 A schematic diagram of the structure of a remote monitoring and operation and maintenance system for electric power equipment based on smart Internet of Things provided in an embodiment of the present application.

[0047] In this embodiment, the system may include:

[0048] The IoT data acquisition module 10 is used to collect sensor data of the power equipment in real time during operation through sensors provided on the power equipment, collect inspection data through drones, and transmit the sensor data and inspection data to the monitoring center; wherein the sensors include temperature sensors, humidity sensors, current sensors, and voltage sensors;

[0049] The monitoring center 20 is used to perform multimodal data fusion on the sensor data and the inspection data to obtain multimodal data, and to build an equipment status evaluation model based on the multimodal data, and to perform fault early warning processing based on the equipment status evaluation model to obtain an early warning result;

[0050] The operation and maintenance center 30 is used to process the warning results based on the maintenance strategy to obtain maintenance plan data, process the warning results according to the preventive strategy matching model to obtain preventive maintenance strategy data, generate UAV operation and maintenance tasks based on the inspection data, and control the UAV to perform operation and maintenance operations based on the UAV operation and maintenance tasks.

[0051] It can be seen that the core components and functions of the remote monitoring and operation and maintenance system of power equipment based on smart IoT are clarified in this embodiment. The IoT data acquisition module 10 collects data of the equipment in real time during operation through a variety of sensors (temperature sensor, humidity sensor, current sensor, voltage sensor) set on the power equipment, and uses drones to collect inspection data, thereby realizing the acquisition of multi-dimensional data of the power equipment. These data are transmitted to the monitoring center 20, which performs multimodal data fusion on the sensor data and the inspection data, comprehensively considering the characteristics and interrelationships of different types of data, so as to obtain more comprehensive and accurate multimodal data. Based on this multimodal data, the equipment status assessment model is constructed, which can more accurately assess the operating status of the equipment. Fault warning processing is performed through the model to obtain warning results and timely discover possible problems with the equipment. The operation and maintenance center 30 processes the warning results according to the maintenance strategy to obtain maintenance plan data in order to arrange timely maintenance work; the warning results are processed according to the preventive strategy matching model to obtain preventive maintenance strategy data, and measures are taken in advance to prevent the occurrence of potential faults. In addition, the operation and maintenance center 30 also generates drone operation and maintenance tasks based on the inspection data, and controls the drone to perform operation and maintenance operations, thereby realizing intelligent operation and maintenance management.

[0052] The system architecture realizes comprehensive real-time monitoring and intelligent operation and maintenance of power equipment, overcoming many drawbacks of traditional manual inspections. Through the collaborative work of multiple sensors and drones, more comprehensive and accurate data can be obtained, abnormal conditions of equipment can be discovered in a timely manner, and the timeliness and accuracy of fault warnings can be improved. The application of multimodal data fusion and equipment status assessment models makes operation and maintenance decisions more scientific and reasonable, reduces the incidence of equipment failures, and improves the reliability and stability of power equipment. At the same time, the execution of drone operation and maintenance tasks improves operation and maintenance efficiency, reduces manual intervention, and reduces operation and maintenance costs.

[0053] In summary, this embodiment realizes all-round remote monitoring and intelligent operation and maintenance of power equipment through the organic combination of data collection and transmission module, monitoring center 20, intelligent operation and maintenance module, and drone-assisted inspection. The introduction of drones enhances the comprehensiveness of data collection, further improves the reliability and intelligence of the system, and provides a solid guarantee for the efficient and reliable operation of the power system.

[0054] A further IoT data acquisition module 10 includes:

[0055] The sensor acquisition unit is used to collect data from the temperature sensor, the humidity sensor, the current sensor, and the voltage sensor to obtain sensor data;

[0056] The drone collection unit is used to obtain the inspection data of the drone when the drone inspects a preset location;

[0057] The data transmission unit is used to send the sensor data and the inspection data to the monitoring center 20 through wireless communication technology.

[0058] In this optional solution, the internal structure and working principle of the IoT data acquisition module 10 are further refined. The sensor acquisition unit is responsible for collecting data from specific temperature sensors, humidity sensors, current sensors, and voltage sensors, respectively, ensuring the separate acquisition of data from various types of sensors, and providing a basis for subsequent data fusion and analysis. When the drone inspects a preset location, the drone acquisition unit obtains the inspection data of the drone, which makes the data collection targeted and planned, and can focus on the equipment conditions at key locations. The data transmission unit sends the sensor data and inspection data to the monitoring center 20 through wireless communication technology, ensuring the timely transmission of data, so that the monitoring center 20 can obtain the latest status information of the equipment in real time for subsequent analysis and processing.

[0059] It can be seen that the specific responsibilities and working methods of each part of the IoT data acquisition module 10 are clarified, which improves the accuracy and reliability of data acquisition. The clear division of labor of the sensor acquisition unit ensures the accurate acquisition of various types of data, the setting of the drone acquisition unit enhances the flexibility and pertinence of data acquisition, and the application of wireless communication technology in the data transmission unit ensures the timeliness and stability of data transmission. These all provide reliable data support for the effective operation of the entire system, enabling the monitoring center 20 to understand the operating status of the power equipment in a timely and accurate manner, providing a strong basis for subsequent decision-making and processing.

[0060] The monitoring center 20 further comprises:

[0061] A data receiving module, used to receive sensor data and inspection data through wireless communication technology;

[0062] A data fusion module is used to perform multimodal data fusion on sensor data and inspection data based on spatiotemporal data to obtain multimodal data;

[0063] An evaluation model building module is used to build an equipment status evaluation model through multimodal data analysis technology and multimodal data;

[0064] The fault warning module is used to perform fault warning processing using the equipment status assessment model to obtain warning results.

[0065] In this optional solution, the workflow of the monitoring center 20 and the functions of each module are described in detail. The data receiving module receives the sensor data and inspection data from the IoT data acquisition module 10 through wireless communication technology, ensuring the smooth acquisition of data. The data fusion module performs multimodal data fusion on the sensor data and inspection data based on spatiotemporal data. The introduction of spatiotemporal data takes into account the temporal and spatial characteristics of the data, so that the fused multimodal data can better reflect the actual operating status of the equipment and the influence of environmental factors. The evaluation model construction module constructs an equipment status evaluation model through multimodal data analysis technology and fused multimodal data. Multimodal data analysis technology can fully explore the correlation and complementary information between different modal data, thereby constructing a more accurate evaluation model. The fault warning module uses the constructed equipment status evaluation model to perform fault warning processing. Through real-time evaluation and analysis of the equipment status, potential fault hazards are discovered in a timely manner, and warning results are obtained.

[0066] Among them, the various modules of the monitoring center 20 cooperate with each other to achieve efficient processing and analysis of power equipment data. The data receiving module ensures the timely acquisition of data, the multimodal data fusion and the application of spatiotemporal data of the data fusion module improve the quality and integrity of the data, the multimodal data analysis technology of the evaluation model construction module makes the equipment status evaluation model more accurate and reliable, and the fault warning module can timely discover hidden faults and take measures in advance to avoid the occurrence or expansion of faults, thereby improving the safety and stability of the power system.

[0067] Furthermore, the operation and maintenance center 30 includes:

[0068] The maintenance plan output module is used to process the warning results based on the maintenance strategy to obtain the maintenance plan data;

[0069] The preventive maintenance module is used to process the warning results according to the preventive strategy matching model to obtain preventive maintenance strategy data; wherein the preventive strategy matching model is a matching model obtained by training based on historical operation and maintenance data;

[0070] The UAV operation and maintenance module is used to generate UAV operation and maintenance tasks based on inspection data and environmental condition data, and control the UAV to perform operation and maintenance operations based on the UAV operation and maintenance tasks.

[0071] In this optional solution, the important role and specific functions of the operation and maintenance center 30 in the system are clarified. The maintenance plan output module processes the warning results based on the maintenance strategy, comprehensively considers the historical operation data, fault type, severity and other factors of the equipment, and formulates reasonable maintenance plan data to ensure the pertinence and effectiveness of the maintenance work. The preventive maintenance module processes the warning results according to the preventive strategy matching model. The model is trained based on historical operation and maintenance data. It can predict potential problems based on the current status and historical experience of the equipment, and generate corresponding preventive maintenance strategy data, take maintenance measures in advance, and reduce the incidence of equipment failures. The drone operation and maintenance module generates drone operation and maintenance tasks based on inspection data and environmental condition data, fully considering the actual situation and environmental factors of the equipment, so that drone operation and maintenance tasks are more in line with actual needs. At the same time, the module controls the drone to perform operation and maintenance operations based on the drone operation and maintenance tasks, realizing the automation and intelligence of operation and maintenance.

[0072] The various functions of the operation and maintenance center 30 make the operation and maintenance of power equipment more scientific and efficient. The maintenance plan output module ensures that maintenance work is carried out in a timely and effective manner, reducing the impact of equipment failures on the power system. The application of the preventive maintenance module can prevent equipment failures in advance, extend the service life of equipment, and reduce operation and maintenance costs. The automation and intelligent operation of the drone operation and maintenance module improves operation and maintenance efficiency, reduces manual intervention, and can also cope with some dangerous or difficult-to-reach areas, improving the safety and reliability of operation and maintenance.

[0073] Furthermore, it also includes:

[0074] The drone inspection module is used to generate a drone inspection plan based on the time plan and environmental data, and perform inspection tasks based on the drone inspection plan.

[0075] In this optional solution, a drone inspection module is added to further improve the data collection function of the system. The drone inspection module generates a drone inspection plan based on the time plan and environmental data. The time plan ensures the regularity and timeliness of the inspection. The consideration of environmental data enables the inspection plan to be adjusted according to the actual environmental conditions, such as strengthening inspections in bad weather or special circumstances. The inspection tasks are executed based on the generated drone inspection plan, which can realize regular or irregular inspections of power equipment and timely discover potential problems of equipment. The advantage of drone inspections is that they can cover areas that are difficult to reach by manual inspections, improving the comprehensiveness and accuracy of inspections.

[0076] The introduction of the drone inspection module enhances the system's monitoring capabilities for power equipment. Through the generation and execution of a reasonable inspection plan, abnormal conditions of the equipment can be discovered in a timely manner, improving the timeliness and accuracy of fault discovery. Covering areas that are difficult to reach manually makes up for the shortcomings of traditional inspection methods and further improves the safety and reliability of the power system. At the same time, the efficiency and flexibility of drone inspections reduce inspection costs and improve inspection efficiency.

[0077] Furthermore, it also includes:

[0078] The operation and maintenance data management module is used to create, allocate and track operation and maintenance tasks, and automatically record operations and operation and maintenance tasks.

[0079] In this optional solution, the introduction of the operation and maintenance data management module enables the system to achieve more effective management and monitoring of the operation and maintenance process. This module is responsible for the creation, allocation and tracking of operation and maintenance tasks. It can reasonably create operation and maintenance tasks based on the actual situation of the equipment and the operation and maintenance requirements, and assign tasks to appropriate personnel or equipment. At the same time, the execution process of the operation and maintenance tasks is tracked to ensure that the tasks are completed on time and with quality. In addition, the automatic recording of operations and operation and maintenance tasks can form a complete operation and maintenance record, which is convenient for evaluating and analyzing the operation and maintenance work, discovering problems and making timely improvements, and improving the level and efficiency of operation and maintenance management.

[0080] The application of the operation and maintenance data management module improves the standardization and transparency of operation and maintenance work. Through the effective management and tracking of operation and maintenance tasks, the smooth progress of operation and maintenance work is ensured, and the work efficiency and quality are improved. The function of automatically recording operations and operation and maintenance tasks provides data support for operation and maintenance decisions, which helps to optimize operation and maintenance strategies and reduce operation and maintenance costs. At the same time, it is convenient to trace and evaluate operation and maintenance work, and improve the management level of power equipment operation and maintenance.

[0081] Furthermore, the IoT data collection module 10 further includes:

[0082] The edge computing module is used to perform local analysis and processing on the sensor data and the inspection data, obtain the abnormal analysis results, and send the abnormal analysis results to the monitoring center 20.

[0083] In this optional solution, an edge computing module is added to the IoT data acquisition module 10, which reflects the consideration of real-time and high efficiency of data processing. The edge computing module performs local analysis and processing on sensor data and inspection data, and can perform preliminary data processing and analysis at the data acquisition end, and quickly identify some obvious abnormal situations. After obtaining the abnormal analysis results, the results are sent to the monitoring center 20, so that the monitoring center 20 can understand the abnormal situation of the equipment in a timely manner and make corresponding decisions. This local analysis and processing method reduces the amount and delay of data transmission and improves the response speed of the system.

[0084] The addition of the edge computing module improves the data processing efficiency and real-time performance of the system. Local data analysis and processing can quickly detect abnormal situations and provide timely feedback to the monitoring center 20, allowing the system to respond more quickly and take appropriate measures to avoid the expansion of problems. Reducing data transmission volume and latency reduces the requirements for network bandwidth and improves the stability and reliability of the system. At the same time, it also provides more timely and accurate basic data for further analysis and decision-making of the monitoring center 20.

[0085] Furthermore, it also includes:

[0086] Data visualization module, used to display sensor data and inspection data through a variety of data visualization tools.

[0087] In this optional solution, the setting of the data visualization module is intended to improve the readability and comprehensibility of the data. Through a variety of data visualization tools, sensor data and inspection data are displayed in the form of intuitive charts and graphs, so that the staff can understand the operating status of the power equipment more clearly. For example, the changing trend of voltage and current is displayed through a bar chart, and the temperature distribution of various parts of the equipment is displayed through a thermal map. Such a visualization method can help the staff quickly discover anomalies and patterns in the data, so as to more accurately judge the operation of the equipment and make timely decisions.

[0088] The application of data visualization module improves the staff's perception and understanding of the equipment operation status. The intuitive visualization makes complex data easy to understand, and the staff can find problems and trends more quickly, which improves the efficiency and accuracy of decision-making. At the same time, the beautiful and clear data visualization interface also improves the staff's work experience and helps to improve work enthusiasm and concentration.

[0089] Furthermore, it also includes:

[0090] The energy efficiency report generation module is used to generate corresponding energy efficiency report data based on sensor data and power load data.

[0091] In this optional solution, the energy efficiency report generation module generates corresponding energy efficiency report data based on the sensor data and the acquired power load data. The sensor data includes environmental parameters such as temperature and humidity as well as the operating parameters of the equipment, and the power load data reflects the power consumption of the equipment. Through comprehensive analysis of these data, the energy efficiency report generation module can evaluate the energy utilization efficiency of power equipment and find out the weak links in energy consumption and potential energy saving space. For example, analyze the energy efficiency performance of the equipment under different load conditions to determine whether there is energy waste.

[0092] The energy efficiency report generation module provides an important basis for energy-saving optimization of power equipment. By generating energy efficiency reports, users can understand the energy utilization of equipment, formulate reasonable energy-saving measures, improve energy utilization efficiency, and reduce energy consumption and operating costs. At the same time, it also helps to promote the sustainable development of power equipment and meet the requirements of energy conservation and environmental protection.

[0093] Furthermore, it also includes:

[0094] The data backup module is used to locally back up sensor data and inspection data.

[0095] In this optional solution, the data backup module performs local backup of sensor data and inspection data to ensure data security and reliability. During system operation, sensor data and inspection data are important bases for equipment monitoring and operation and maintenance decisions. If these data are lost or damaged, it may lead to an inability to accurately assess the equipment status and affect the operation and maintenance work. Through local backup, even if there is a problem with the main data storage, data can be quickly restored to ensure the normal operation of the system. In addition, local backup can also prevent data from being tampered with or leaked, protecting the information security of the power system.

[0096] The data backup module provides an important guarantee for the data security of the system. It ensures the integrity and availability of data and avoids business interruption and loss caused by data loss or damage. At the same time, it also enhances the system's risk resistance and improves the reliability and stability of the remote monitoring and operation and maintenance system of power equipment.

[0097] The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0098] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0099] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0100] The above is a detailed introduction to a remote monitoring and operation and maintenance system for electric power equipment based on smart Internet of Things provided by the present application. This article uses specific examples to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the claims of the present application.

Claims

1. A remote monitoring and operation and maintenance system for power equipment based on smart Internet of Things, characterized in that: include: The IoT data acquisition module is used to collect sensor data of the power equipment in real time during operation through sensors provided on the power equipment, collect inspection data through drones, and transmit the sensor data and inspection data to a monitoring center; wherein the sensors include temperature sensors, humidity sensors, current sensors, and voltage sensors; A monitoring center is used to perform multimodal data fusion on the sensor data and the inspection data to obtain multimodal data, and to build an equipment status assessment model based on the multimodal data, and to perform fault early warning processing based on the equipment status assessment model to obtain an early warning result; The operation and maintenance center is used to process the warning results based on the maintenance strategy to obtain maintenance plan data, process the warning results according to the preventive strategy matching model to obtain preventive maintenance strategy data, generate UAV operation and maintenance tasks based on the inspection data, and control the UAV to perform operation and maintenance operations based on the UAV operation and maintenance tasks.

2. The remote monitoring and operation and maintenance system for electric power equipment according to claim 1, characterized in that: The IoT data acquisition module comprises: A sensor acquisition unit, used to respectively collect data from the temperature sensor, the humidity sensor, the current sensor, and the voltage sensor to obtain the sensor data; The drone collection unit is used to obtain the inspection data of the drone when the drone inspects a preset position; A data transmission unit is used to send the sensor data and the inspection data to the monitoring center through wireless communication technology.

3. The remote monitoring and operation and maintenance system for electric power equipment according to claim 1, characterized in that: The monitoring center comprises: A data receiving module, used for receiving the sensor data and the inspection data through wireless communication technology; A data fusion module, used for performing multimodal data fusion on the sensor data and the inspection data based on spatiotemporal data to obtain multimodal data; An evaluation model building module, used to build the equipment status evaluation model through multimodal data analysis technology and the multimodal data; The fault warning module is used to use the equipment status assessment model to perform fault warning processing and obtain a warning result.

4. The remote monitoring and operation and maintenance system for electric power equipment according to claim 1, characterized in that: The operation and maintenance center includes: A maintenance plan output module is used to process the warning result based on the maintenance strategy to obtain maintenance plan data; A preventive maintenance module, used to process the warning result according to a preventive strategy matching model to obtain preventive maintenance strategy data; wherein the preventive strategy matching model is a matching model obtained by training based on historical operation and maintenance data; The UAV operation and maintenance module is used to generate UAV operation and maintenance tasks based on the inspection data and environmental condition data, and control the UAV to perform operation and maintenance operations based on the UAV operation and maintenance tasks.

5. The remote monitoring and operation and maintenance system for electric power equipment according to claim 1, characterized in that: Also includes: The drone inspection module is used to generate a drone inspection plan based on a time plan and environmental data, and to perform inspection tasks based on the drone inspection plan.

6. The remote monitoring and operation and maintenance system for electric power equipment according to claim 1, characterized in that: Also includes: The operation and maintenance data management module is used to create, allocate and track operation and maintenance tasks, and automatically record operations and operation and maintenance tasks.

7. The remote monitoring and operation and maintenance system for electric power equipment according to claim 1, characterized in that: The IoT data acquisition module further includes: The edge computing module is used to perform local analysis and processing on the sensor data and the inspection data to obtain an abnormal analysis result, and send the abnormal analysis result to the monitoring center.

8. The remote monitoring and operation and maintenance system for electric power equipment according to claim 1, characterized in that: Also includes: A data visualization module is used to display the sensor data and the inspection data through a variety of data visualization tools.

9. The remote monitoring and operation and maintenance system for electric power equipment according to claim 1, characterized in that: Also includes: The energy efficiency report generation module is used to generate corresponding energy efficiency report data based on the sensor data and the acquired power load data.

10. The remote monitoring and operation and maintenance system for electric power equipment according to claim 1, characterized in that: Also includes: The data backup module is used to locally back up the sensor data and the inspection data.

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