A power system real-time monitoring method based on the Internet of Things
By using infrared monitoring devices and temperature monitoring equipment in the power system, combined with differentiated equipment assessment, and optimizing monitoring priorities and duration, the real-time reliability problem of power equipment temperature monitoring was solved, and differentiated infrared temperature monitoring and operational reliability improvement of power equipment were achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- STATE GRID HENAN INFORMATION & TELECOMM CO
- Filing Date
- 2023-09-08
- Publication Date
- 2026-04-21
AI Technical Summary
In existing technologies, IoT devices have failed to effectively combine infrared monitoring based on equipment differences in power equipment temperature monitoring within power systems, resulting in the inability to achieve real-time and reliable monitoring of power equipment.
The power equipment within the monitoring area is identified by infrared monitoring devices, and the operating temperature and status assessment value of the monitored parts are determined by temperature monitoring devices. The priority of the monitored power equipment is then determined, and the necessity of monitoring is assessed based on historical temperature data and the difficulty of monitoring the parts, thereby optimizing the monitoring duration and frequency.
It enables differentiated infrared temperature monitoring of power equipment, improves the real-time performance and accuracy of monitoring, and ensures the timely screening and monitoring of equipment with low operational reliability.
Smart Images
Figure CN117200442B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of Internet of Things (IoT) technology, and in particular relates to a real-time monitoring method for power systems based on IoT. Background Technology
[0002] In order to achieve real-time monitoring of different power equipment in the power system, in addition to setting up IoT devices for monitoring the temperature and humidity of power equipment, a large number of IoT devices for real-time infrared detection are also set up. This enables real-time monitoring of the operating temperature of power equipment, further ensuring the safety and reliability of the operation of different power equipment in the power system.
[0003] Existing technologies provide several technical means for IoT devices to perform infrared detection of power equipment in power systems. For example, CN202310353243.2 "Image Monitoring Method and Device for Power Equipment" and CN202211274886.X "Infrared Thermal Imaging Detection System for Power Equipment" both describe how to achieve infrared detection and image analysis of power equipment in power systems. However, they neglect data interaction with the monitoring data of IoT devices that monitor the temperature of the power equipment itself. There are significant differences in temperature monitoring data for different power equipment. Therefore, if a differentiated infrared monitoring strategy cannot be generated by combining the above factors, real-time and reliable monitoring of power equipment within the monitoring area of the infrared monitoring camera cannot be achieved.
[0004] To address the aforementioned technical problems, this invention provides a method for real-time monitoring of power systems based on the Internet of Things. Summary of the Invention
[0005] To achieve the objectives of this invention, the following technical solution is adopted:
[0006] According to one aspect of the present invention, a method for real-time monitoring of power systems based on the Internet of Things is provided.
[0007] A real-time monitoring method for power systems based on the Internet of Things (IoT), characterized in that it specifically includes:
[0008] S1 determines the monitored power equipment based on the monitoring area of the infrared monitoring device, and determines the operating temperature and status assessment value of the monitored part of the monitored power equipment through the temperature monitoring device, and determines the monitored power equipment with the first monitoring priority based on the status assessment value.
[0009] S2 determines the number of problem monitoring locations by using historical temperature data of the monitoring locations of the power equipment, and determines the operational reliability of the power equipment and the monitoring power equipment with a monitoring priority of level two by combining the historical temperature data of the problem monitoring locations.
[0010] S3 determines the monitoring difficulty of the monitoring location based on its location and size, and determines the monitoring necessity assessment quantity based on the type of the monitored power equipment and the number of monitoring locations. Based on the monitoring necessity assessment quantity, the monitoring priority of the monitored power equipment is divided into the third level and the fourth level.
[0011] S4 determines the monitoring duration of the monitored power equipment based on the operating status assessment value, operating reliability, and monitoring necessity assessment value, sends the monitoring priority and monitoring duration of the monitored power equipment to the infrared monitoring device through the Internet of Things device, and determines the operating status of the monitored power equipment through the infrared monitoring device.
[0012] The beneficial effects of this invention are as follows:
[0013] By monitoring the operating temperature of the monitored parts of power equipment and determining the status assessment values, the system can screen for monitored parts with abnormal operating temperatures and power equipment with abnormal temperatures, thereby improving the real-time monitoring and assessment of power equipment.
[0014] By assessing the operational reliability of monitored power equipment, the system was able to screen for equipment with low operational reliability based on historical data. This enabled real-time and accurate infrared monitoring of equipment with low operational reliability, while also ensuring the operational reliability of such equipment.
[0015] By determining the necessary monitoring quantity, we not only considered the number of monitoring points required for different types of power equipment to monitor operating temperature, but also the monitoring difficulty of different monitoring points and the type of power equipment being monitored, thus achieving differentiated infrared temperature monitoring of the power equipment.
[0016] A further technical solution is that the monitoring power equipment is determined based on the power equipment within the monitoring area of the infrared monitoring device, specifically based on the distance between the power equipment within the monitoring area and the infrared monitoring device.
[0017] In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes the above-described method for real-time monitoring of a power system based on the Internet of Things.
[0018] Thirdly, the present invention provides a computer storage medium storing a computer program thereon, which, when executed in a computer, causes the computer to execute the above-described method for real-time monitoring of a power system based on the Internet of Things.
[0019] Other features and advantages will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.
[0020] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description
[0021] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.
[0022] Figure 1 This is a flowchart of a real-time monitoring method for power systems based on the Internet of Things (IoT).
[0023] Figure 2 This is a flowchart of a method for determining the operational reliability of power equipment.
[0024] Figure 3 It is a framework diagram of a computer system. Detailed Implementation
[0025] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, they are provided so that the invention will be thorough and complete, and the concept of the exemplary embodiments will be fully conveyed to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and therefore their detailed description will be omitted.
[0026] The terms “a,” “one,” “the,” and “the” are used to indicate the existence of one or more elements / components / etc.; the terms “including” and “having” are used to indicate an open-ended meaning of inclusion and that other elements / components / etc. may exist in addition to the listed elements / components / etc.
[0027] Example 1
[0028] To solve the above problems, according to one aspect of the present invention, such as Figure 1 As shown, according to one aspect of the present invention, a method for real-time monitoring of a power system based on the Internet of Things is provided, characterized in that it specifically includes:
[0029] S1 determines the monitored power equipment based on the monitoring area of the infrared monitoring device, and determines the operating temperature and status assessment value of the monitored part of the monitored power equipment through the temperature monitoring device, and determines the monitored power equipment with the first monitoring priority based on the status assessment value.
[0030] Specifically, the power monitoring equipment is determined based on the power equipment within the monitoring area of the infrared monitoring device, and more specifically, based on the distance between the power equipment within the monitoring area and the infrared monitoring device.
[0031] It should be noted that the method for determining the state evaluation value in step S1 above is as follows:
[0032] The operating temperature of the monitored part of the power equipment is determined by the temperature monitoring device, and the presence of any monitored part in a critical operating temperature or abnormal state is determined by the operating temperature. If so, proceed to the next step; otherwise, the status assessment value of the power equipment is determined by the operating temperature of the monitored part and the critical temperature threshold of the monitored part.
[0033] The monitoring points where the operating temperature is abnormal are designated as abnormal monitoring points. The key abnormal monitoring points are determined by the location of the abnormal monitoring points of the power equipment. The abnormal monitoring quantity of the power equipment is determined by the number of key abnormal monitoring points and the operating temperature, and the abnormal monitoring quantity of the power equipment is determined by the number of abnormal monitoring points and the operating temperature. It is then determined whether the abnormal monitoring quantity of the power equipment is greater than a preset abnormal threshold. If it is, the status assessment value of the monitored power equipment is determined by the abnormal monitoring quantity of the power equipment. If not, proceed to the next step.
[0034] The monitoring point where the operating temperature is at the critical operating temperature is designated as the critical monitoring point. The critical monitoring point is determined by the location of the critical monitoring point of the power equipment. The critical monitoring quantity of the power equipment is determined by the number of critical monitoring points and the operating temperature. It is then determined whether the critical monitoring quantity of the power equipment is greater than a preset abnormal threshold. If it is, the status assessment value of the monitored power equipment is determined by the critical monitoring quantity of the power equipment. If not, proceed to the next step.
[0035] The status assessment value of the monitored power equipment is determined by the abnormal monitoring quantity, critical monitoring quantity, and the ratio of critical monitoring parts to abnormal monitoring parts of the power equipment.
[0036] Furthermore, the determination of the status assessment value of the monitored power equipment is based on the operating temperature of the monitored components and the critical temperature threshold of the monitored components, specifically including:
[0037] The status assessment value of the monitored part is determined by the operating temperature of the monitored part and the critical temperature threshold of the monitored part, and the status assessment value of the monitored power equipment is determined by the status assessment value of the monitored part and the location of the detection part.
[0038] It should be noted that, in another possible embodiment, the method for determining the state evaluation value is as follows:
[0039] The abnormal monitoring location, critical monitoring location, and normal monitoring location are determined by the operating temperature of the monitoring location of the power equipment and the critical temperature threshold of the monitoring location, and the weight value of the monitoring location is determined by the location of the monitoring location.
[0040] The abnormal monitoring quantity of the monitoring power equipment is determined based on the number of abnormal monitoring points and the operating temperature; the critical monitoring quantity of the monitoring power equipment is determined based on the number of critical monitoring points and the operating temperature; and the normal monitoring quantity of the monitoring power equipment is determined based on the number of normal monitoring points and the operating temperature.
[0041] The weight sum of the abnormal monitoring parts, the weight sum of the critical monitoring parts, and the weight sum of the normal monitoring parts are determined by using the weight values of the abnormal monitoring parts, the weight values of the critical monitoring parts, and the weight values of the normal monitoring parts, respectively. The status assessment value of the monitored power equipment is then determined by combining the abnormal monitoring quantity, the critical monitoring quantity, and the normal monitoring quantity of the monitored power equipment.
[0042] Furthermore, when the status assessment value of the monitored power equipment is less than a preset threshold, the monitoring priority of the monitored power equipment is determined to be the first level.
[0043] In this embodiment, by monitoring the operating temperature of the monitored parts of the power equipment and determining the status assessment value, the monitoring parts with abnormal operating temperatures and the power equipment with abnormal temperatures are screened, thereby improving the real-time monitoring of the power equipment assessment.
[0044] S2 determines the number of problem monitoring locations by using historical temperature data of the monitoring locations of the power equipment, and determines the operational reliability of the power equipment and the monitoring power equipment with a monitoring priority of level two by combining the historical temperature data of the problem monitoring locations.
[0045] Specifically, such as Figure 2 As shown, the method for determining the operational reliability of the monitored power equipment in step S2 above is as follows:
[0046] The number of times the operating temperature of the monitored part of the power equipment exceeded the limit and the duration of the exceeding the limit were determined by using historical temperature data of the monitored part, and the problem assessment quantity of the monitored part was determined by combining the number of times the monitored part failed.
[0047] The problem monitoring locations are determined based on the problem assessment quantity of the monitored locations, and the reliability of the operating status of the monitored power equipment is determined by the number of the problem monitoring locations. If yes, proceed to the next step; otherwise, the operating reliability of the monitored power equipment is determined by the preset reliability.
[0048] The probability of a problem occurring at a monitored part of the power equipment is determined by the number of monitored parts, the number of problems assessed, and the location of the problems. The operational reliability of the power equipment is then determined by combining the number of monitored parts excluding the monitored parts and the number of problems assessed.
[0049] It should be noted that the operational reliability of the monitored power equipment ranges from 0 to 1. The higher the operational reliability of the monitored power equipment, the lower the probability of temperature anomalies occurring.
[0050] In this embodiment, by evaluating the operational reliability of the monitored power equipment, the system can filter out the monitored power equipment with low operational reliability from the perspective of historical data, thereby achieving real-time performance and accuracy of infrared monitoring with low operational reliability, and ensuring the operational reliability of the monitored power equipment with low operational reliability.
[0051] S3 determines the monitoring difficulty of the monitoring location based on its location and size, and determines the monitoring necessity assessment quantity based on the type of the monitored power equipment and the number of monitoring locations. Based on the monitoring necessity assessment quantity, the monitoring priority of the monitored power equipment is divided into the third level and the fourth level.
[0052] Furthermore, the method for determining the monitoring necessity assessment quantity is as follows:
[0053] The difficulty of monitoring a monitoring location is determined based on its location and size, and the necessity of monitoring is assessed by considering the type of power equipment being monitored and the number of monitoring locations.
[0054] The basic monitoring difficulty of the monitoring location is determined based on the location of the monitoring location and the location of the infrared monitoring device, and the monitoring difficulty of the monitoring location is determined based on the basic monitoring difficulty and the area size of the monitoring location.
[0055] The monitoring locations with a monitoring difficulty greater than the preset difficulty are selected as monitoring locations. The complexity of infrared monitoring of the monitored power equipment is determined by the number of selected monitoring locations and the monitoring difficulty. If so, the necessity of monitoring is determined by the number of selected monitoring locations and the monitoring difficulty. If not, proceed to the next step.
[0056] The monitoring complexity of the power equipment is determined by screening the number and difficulty of monitoring locations, as well as the monitoring difficulty and number of monitoring locations.
[0057] The load fluctuation of the monitored power equipment within a unit time is determined by using the operating load data of the monitored power equipment, and the load stability assessment of the monitored power equipment is determined by combining the real-time operating load of the monitored power equipment.
[0058] The operational reliability requirements of the monitored power equipment are determined by the type of the monitored power equipment, and the monitoring necessity assessment is determined by combining the load stability assessment quantity and the monitoring complexity of the monitored power equipment.
[0059] Specifically, the operational reliability requirements of the monitoring power equipment are determined based on the type of monitoring power equipment and its installation location.
[0060] It is understood that, based on the aforementioned monitoring necessity assessment, the monitoring priority of the monitored power equipment is divided into third and fourth levels, specifically including:
[0061] If the assessment of the necessity of monitoring the power equipment is greater than the preset necessity threshold, then the monitoring priority of the power equipment is determined to be classified as the third level; otherwise, the monitoring priority of the power equipment is determined to be classified as the fourth level.
[0062] Furthermore, the first level is greater than the second level, the second level is greater than the third level, and the third level is greater than the fourth level.
[0063] In this embodiment, by determining the necessity assessment of monitoring, not only is the number of monitoring points required for the operating temperature monitoring of different power equipment taken into account, but also the monitoring difficulty of different monitoring points and the type of power equipment being monitored, thus realizing differentiated infrared temperature monitoring of the power equipment being monitored.
[0064] S4 determines the monitoring duration of the monitored power equipment based on the operating status assessment value, operating reliability, and monitoring necessity assessment value, sends the monitoring priority and monitoring duration of the monitored power equipment to the infrared monitoring device through the Internet of Things device, and determines the operating status of the monitored power equipment through the infrared monitoring device.
[0065] Specifically, the method for determining the monitoring duration of the monitored power equipment is as follows:
[0066] The basic monitoring duration of the monitored power equipment is determined by the monitoring priority of the monitored power equipment.
[0067] The recommended monitoring duration of the monitored power equipment is obtained by using the operating status assessment value, operating reliability, and monitoring necessity assessment value, respectively. It is then determined whether the number of times the recommended monitoring duration of the monitored power equipment exceeds a preset duration under the same conditions exceeds a preset threshold. If so, the monitoring duration compensation amount is determined based on the number of times the recommended monitoring duration exceeds the preset duration and the recommended monitoring duration of the monitored power equipment under the same conditions. If not, the monitoring duration compensation amount is determined based on the maximum value of the recommended monitoring duration of the monitored power equipment under the same conditions.
[0068] The monitoring duration of the power equipment is determined by the monitoring duration compensation amount and the basic monitoring duration of the power equipment.
[0069] Example 2
[0070] like Figure 3 As shown, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes the above-described method for real-time monitoring of a power system based on the Internet of Things.
[0071] Example 3
[0072] This application provides a computer-readable storage medium storing a computer program thereon. When the computer program is executed in a computer, it causes the computer to perform the above-described method for real-time monitoring of a power system based on the Internet of Things.
[0073] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.
[0074] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.
[0075] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.
Claims
1. A real-time monitoring method for power systems based on the Internet of Things, characterized in that, Specifically, it includes: The monitoring power equipment is determined based on the monitoring area of the infrared monitoring device, and the operating temperature and status assessment value of the monitoring part of the monitored power equipment are determined by the temperature monitoring device. The monitoring power equipment with the first level of monitoring priority is determined by the status assessment value. The number of problematic monitoring locations is determined by using historical temperature data of the monitoring locations of the power equipment, and the operational reliability of the power equipment and the monitoring priority of the power equipment with the second priority are determined by combining the historical temperature data of the problematic monitoring locations. The monitoring difficulty of the monitoring location is determined based on its location and size. The necessity of monitoring is determined by combining the type of power equipment being monitored and the number of monitoring locations. Based on the necessity of monitoring assessment, the monitoring priority of the power equipment is divided into third and fourth levels. The monitoring duration of the monitored power equipment is determined based on the operating status assessment value, operating reliability, and monitoring necessity assessment value. The monitoring priority and monitoring duration of the monitored power equipment are sent to the infrared monitoring device through the Internet of Things device, and the operating status of the monitored power equipment is determined through the infrared monitoring device. The monitoring power equipment is determined based on the power equipment within the monitoring area of the infrared monitoring device, specifically based on the distance between the power equipment within the monitoring area and the infrared monitoring device. The status assessment value of the monitored power equipment is determined by the abnormal monitoring quantity, critical monitoring quantity, and the ratio of critical monitoring parts to abnormal monitoring parts of the power equipment.
2. The real-time monitoring method for power systems as described in claim 1, characterized in that, The method for determining the state evaluation value is as follows: The operating temperature of the monitored part of the power equipment is determined by the temperature monitoring device, and the presence of any monitored part in a critical operating temperature or abnormal state is determined by the operating temperature. If so, proceed to the next step; otherwise, the status assessment value of the power equipment is determined by the operating temperature of the monitored part and the critical temperature threshold of the monitored part. The monitoring points where the operating temperature is abnormal are designated as abnormal monitoring points. The key abnormal monitoring points are determined by the location of the abnormal monitoring points of the power equipment. The abnormal monitoring quantity of the power equipment is determined by the number of key abnormal monitoring points and the operating temperature, and the abnormal monitoring quantity of the power equipment is determined by the number of abnormal monitoring points and the operating temperature. It is then determined whether the abnormal monitoring quantity of the power equipment is greater than a preset abnormal threshold. If it is, the status assessment value of the monitored power equipment is determined by the abnormal monitoring quantity of the power equipment. If not, proceed to the next step. The monitoring points where the operating temperature is at the critical operating temperature are designated as critical monitoring points. The key critical monitoring points are determined by the location of the critical monitoring points of the power equipment. The critical monitoring quantity of the power equipment is determined by the number of key critical monitoring points and the operating temperature, and it is determined whether the critical monitoring quantity of the power equipment is greater than a preset abnormal threshold. If it is, the status assessment value of the monitored power equipment is determined by the critical monitoring quantity of the power equipment. If not, proceed to the next step.
3. The real-time monitoring method for power systems as described in claim 2, characterized in that, The determination of the status assessment value of the monitored power equipment is based on the operating temperature of the monitored parts and the critical temperature threshold of the monitored parts, specifically including: The status assessment value of the monitored part is determined by the operating temperature of the monitored part and the critical temperature threshold of the monitored part, and the status assessment value of the monitored power equipment is determined by the status assessment value of the monitored part and the location of the detection part.
4. The real-time monitoring method for power systems as described in claim 1, characterized in that, When the status assessment value of the monitored power equipment is less than a preset threshold, the monitoring priority of the monitored power equipment is determined to be the first level.
5. The real-time monitoring method for power systems as described in claim 1, characterized in that, The method for determining the operational reliability of the monitored power equipment is as follows: The number of times the operating temperature of the monitored part of the power equipment exceeded the limit and the duration of the exceeding the limit were determined by using historical temperature data of the monitored part, and the problem assessment quantity of the monitored part was determined by combining the number of times the monitored part failed. The problem monitoring locations are determined based on the problem assessment quantity of the monitored locations, and the reliability of the operating status of the monitored power equipment is determined by the number of the problem monitoring locations. If yes, proceed to the next step; otherwise, the operating reliability of the monitored power equipment is determined by a preset reliability. The probability of a problem occurring at a monitored part of the power equipment is determined by the number of monitored parts, the number of problems assessed, and the location of the problems. The operational reliability of the power equipment is then determined by combining the number of monitored parts excluding the monitored parts and the number of problems assessed.
6. The real-time monitoring method for power systems as described in claim 1, characterized in that, The reliability of the monitored power equipment ranges from 0 to 1. The higher the reliability of the monitored power equipment, the lower the probability of temperature anomalies occurring.
7. The real-time monitoring method for power systems as described in claim 1, characterized in that, The method for determining the monitoring necessity assessment quantity is as follows: The basic monitoring difficulty of the monitoring location is determined based on the location of the monitoring location and the location of the infrared monitoring device, and the monitoring difficulty of the monitoring location is determined based on the basic monitoring difficulty and the area size of the monitoring location. The monitoring locations with a monitoring difficulty greater than the preset difficulty are selected as monitoring locations. The complexity of infrared monitoring of the monitored power equipment is determined by the number of selected monitoring locations and the monitoring difficulty. If so, the necessity of monitoring is determined by the number of selected monitoring locations and the monitoring difficulty. If not, proceed to the next step. The monitoring complexity of the power equipment is determined by the number and difficulty of the monitored locations, as well as the monitoring difficulty and number of the monitored locations. The load fluctuation of the monitored power equipment within a unit time is determined by using the operating load data of the monitored power equipment, and the load stability assessment of the monitored power equipment is determined by combining the real-time operating load of the monitored power equipment. The operational reliability requirements of the monitored power equipment are determined by the type of the monitored power equipment, and the monitoring necessity assessment is determined by combining the load stability assessment quantity and monitoring complexity of the monitored power equipment.
8. The real-time monitoring method for power systems as described in claim 1, characterized in that, The operational reliability requirements of the monitoring power equipment are determined based on the type of monitoring power equipment and its installation location.
9. A computer system, comprising: A memory and processor connected by communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes a real-time monitoring method for a power system based on the Internet of Things as described in any one of claims 1-8.
Citation Information
Patent Citations
Infrared thermal imaging detection system for electrical equipment
CN115643471A
Power equipment image monitoring method and device
CN116563777A
On-line calibrating method and on-line alarming method for passive wireless temperature measuring system
CN103604531A
Broadcast television transmission platform monitoring system based on multi-level management
CN105827730A