Electrical equipment visual monitoring management method and system based on Internet of Things

Abstract

The invention provides an electrical equipment visual monitoring management method and system based on the Internet of Things, and relates to the technical field of Internet of Things monitoring management, and the method comprises the steps: detecting a target event to be managed by a user in a digital twinborn model of visual monitoring electrical equipment, which is built based on the Internet of Things and a digital twinborn technology; and when the user manages the target event, if the management logic of the next stage of the user has a logic defect, controlling the digital twin model to help the user overcome the logic defect in time. The target event to be managed by the user in the digital twin model is automatically detected, manual inspection is not needed, the labor cost is reduced, and the management efficiency is improved; when the user manages the target event, if the management logic of the next stage has defects, the system timely helps the user to overcome the defects through the digital twin model, accidents caused by the logic defects are avoided, and the safety and stability of electrical equipment management are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things monitoring and management, and in particular to an Internet of Things-based electrical equipment visual monitoring and management method and system thereof. Background Art

[0002] At present, with the development of the Internet of Things and digital twin technology, the use of them to carry out visual monitoring of power equipment has emerged. By connecting with electrical equipment through the Internet of Things, real-time information such as the operating status of the equipment can be obtained, and then this information can be displayed in real time in the digital twin model of the electrical equipment.

[0003] However, most existing digital twin models only provide visual display functions. When viewing, users need to check whether there are any target events that require their own intervention and management. The manpower cost is high, and the efficiency of visual monitoring and management of electrical equipment is low.

[0004] Secondly, electrical equipment has extremely low fault tolerance during management. If managers cause accidents due to flawed management logic, the consequences can be serious. Existing digital twin models lack designs to help managers overcome these flaws, reducing the safety and stability of visual monitoring and management of electrical equipment.

[0005] Therefore, a solution is urgently needed. Summary of the Invention

[0006] One of the purposes of the present invention is to provide a visual monitoring and management method for electrical equipment based on the Internet of Things to solve the problems in the background technology.

[0007] The embodiment of the present invention provides a method for visual monitoring and management of electrical equipment based on the Internet of Things, including:

[0008] Detect target events to be managed by users in the digital twin model of electrical equipment that is visually monitored based on the Internet of Things and digital twin technology;

[0009] When the user manages the target event, if there are logical defects in the user's next-stage management logic, the control digital twin model will help the user overcome the logical defects in a timely manner.

[0010] Optionally, the steps for obtaining logical defects include:

[0011] Based on the target event, the historical executed management logic of multiple users and their respective execution feedback, the use case of the logical defect indicator of the user's next stage management logic is constructed;

[0012] Based on the knowledge base of logic defect standards, determine the logic defect indicators that are appropriate to use in the use of logic standards;

[0013] By comparing the logical defect indicators, determine the logical defects of the user's next stage management logic.

[0014] Optional steps to control the digital twin model to help users overcome logic defects in a timely manner include:

[0015] To overcome the logic flaws, the user needs to accept and understand multiple target contents in sequence to obtain the target content sequence.

[0016] When it is predicted that the digital twin model will continuously and actively generate the first i target contents in the target content sequence within a preset time in the future, if the degree to which the latest attention content reflected by the user's first viewing behavior generated by viewing the digital twin model through multiple first-person perspectives interferes with the user's sequential acceptance and understanding of the first i target contents does not exceed a first threshold, a second perspective is generated to view the digital twin model continuously and actively generate the first i target contents;

[0017] When the user confirms to enter the second perspective under guidance, if the second viewing behavior generated by the user viewing the digital twin model through the second perspective in the past reflects that the degree to which the user has accepted and understood the first i target contents in sequence exceeds the second threshold, a third perspective is generated for viewing the digital twin model to continuously and passively generate the next j target contents in the target content sequence; i and j are positive integers, i>j; the sum of i and j is equal to the total number of target contents in the target content sequence;

[0018] Guide users into the third perspective.

[0019] Optionally, to overcome the logic defect, multiple target contents that the user needs to accept and understand in sequence are planned. The steps of obtaining the target content sequence include:

[0020] Based on the knowledge base of content planning for acceptance and comprehension, multiple basic contents that users need to accept and understand in order to overcome logical defects are planned, as well as their respective acceptance and comprehension orders and acceptance and comprehension goals;

[0021] Traverse each basic content in the order of acceptance and understanding. During each traversal, based on the user's management profile, predict the deviation between the user's actual acceptance and understanding results after fully viewing the traversed basic content and the corresponding acceptance and understanding target;

[0022] Build scenarios for content enhancement strategies based on deviations, the base content traversed, and other base content traversed before it.

[0023] Based on the content enhancement strategy knowledge base, determine the content enhancement strategy that is appropriate to use in the content enhancement strategy usage situation;

[0024] Based on the content enhancement strategy, a content enhancement plan is assigned to the traversed basic content and other basic contents traversed before it;

[0025] After traversing each basic content in sequence, each basic content is enhanced in sequence according to its assigned content enhancement plan to obtain multiple target contents;

[0026] Arrange each target content in the order of acceptance and understanding before content reinforcement to obtain the target content sequence.

[0027] Optionally, the step of obtaining the degree to which the latest attention content reflected by the first viewing behavior interferes with the user's sequential acceptance and understanding of the first i target contents includes:

[0028] Based on the first degree quantification system, according to the logical conflicts between the latest attention content and the first i target contents, the degree of interference in users' acceptance and understanding of the first i target contents in sequence is quantified.

[0029] Optionally, the steps for obtaining the second viewing behavior reflecting the degree to which the user sequentially accepts and understands the first i target contents include:

[0030] Based on the second degree quantification system, the deviation between the user's current actual acceptance and understanding result represented by the second viewing behavior and the corresponding acceptance and understanding targets of the first i target contents is quantified, and the degree to which the user accepts and understands the first i target contents in sequence is quantified.

[0031] Optionally, the IoT-based visual monitoring and management method for electrical equipment also includes:

[0032] Receive user input target event management execution strategy;

[0033] Issue execution management execution strategy.

[0034] Optionally, the step of receiving a management execution strategy for a target event input by a user includes:

[0035] After the control digital twin model helps the user overcome the logic defects in a timely manner, it receives the management execution strategy of the target event input by the user based on the management execution strategy input interface.

[0036] Optionally, the steps of issuing the execution management execution policy include:

[0037] Send the management execution strategy to the dispatching management platform and management personnel of the electrical equipment.

[0038] An embodiment of the present invention provides an Internet of Things-based visual monitoring and management system for electrical equipment, comprising:

[0039] The IoT visual monitoring module is used to detect target events to be managed by users in the digital twin model of electrical equipment that is visually monitored based on the IoT and digital twin technology;

[0040] The management assistance module is used to control the digital twin model to help users overcome logical defects in a timely manner when users manage target events if there are logical defects in the user's next stage management logic.

[0041] The present invention has achieved the following beneficial effects:

[0042] The present invention automatically detects target events to be managed by users in the digital twin model of visual monitoring of electrical equipment built based on the Internet of Things and digital twin technology. Users do not need to check by themselves, which reduces labor costs and improves the efficiency of visual monitoring and management of electrical equipment. More importantly, when the user manages the target event, if the user's next-stage management logic has logical defects, the control digital twin model helps the user overcome the logical defects in a timely manner, avoiding accidents caused by management logic defects by managers, and improving the safety and stability of visual monitoring and management of electrical equipment.

[0043] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0044] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0046] Figure 1 Flowchart of a method for visual monitoring and management of electrical equipment based on the Internet of Things in an embodiment of the present invention;

[0047] Figure 2 This is another flow chart of the method for visual monitoring and management of electrical equipment based on the Internet of Things in an embodiment of the present invention;

[0048] Figure 3 Schematic diagram of an electrical equipment visual monitoring and management system based on the Internet of Things in an embodiment of the present invention. DETAILED DESCRIPTION

[0049] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0050] Example 1:

[0051] The embodiment of the present invention provides a visual monitoring and management method for electrical equipment based on the Internet of Things, such as Figure 1 Shown, including:

[0052] S1. Detect target events to be managed by users in the digital twin model of visual monitoring of electrical equipment built based on the Internet of Things and digital twin technology;

[0053] S2. When the user manages the target event, if there are logical defects in the user's next stage management logic, the control digital twin model will help the user overcome the logical defects in a timely manner.

[0054] In the above technical solution:

[0055] When building a digital twin model for visual monitoring of electrical equipment based on the Internet of Things and digital twin technology, a three-dimensional environmental model is first constructed based on the digital twin technology according to the three-dimensional information of the electrical equipment's site and the model, location, and three-dimensional information of the electrical equipment. Then, the model is connected to the electrical equipment through the Internet of Things to obtain real-time information such as the operating status of the electrical equipment, the tasks being performed, and the responsible personnel on the day. This information is then displayed on the device model of the corresponding electrical equipment in the three-dimensional environmental model to obtain a digital twin model.

[0056] Target events are events related to the operation of electrical equipment that require user management. When detecting these events in the digital twin model, detection rules for different target events can be pre-set and executed sequentially during detection. Detection rules can, for example, detect whether electrical equipment is operating abnormally.

[0057] When users manage target events, they proceed in stages, each with its own management logic. Managers can input these logics when making decisions about target event management. Logical flaws refer to irrationalities, errors, or loopholes in the management logic. If a user's next-stage management logic contains a logical flaw, the control digital twin model will promptly assist the user in overcoming it. During implementation, for example, if a logical flaw involves omitting a specific on-site condition of electrical equipment, the control digital twin model will present this flaw in detail to the user.

[0058] The present invention automatically detects target events to be managed by users in the digital twin model of visual monitoring of electrical equipment built based on the Internet of Things and digital twin technology. Users do not need to check by themselves, which reduces labor costs and improves the efficiency of visual monitoring and management of electrical equipment. More importantly, when the user manages the target event, if the user's next-stage management logic has logical defects, the control digital twin model helps the user overcome the logical defects in a timely manner, avoiding accidents caused by management logic defects by managers, and improving the safety and stability of visual monitoring and management of electrical equipment.

[0059] Example 2:

[0060] In the embodiment of the present invention, Figure 2 As shown, in S2, the step of obtaining the logic defect includes:

[0061] S211. Based on the target event, the historically executed management logic of multiple users, and their respective execution feedback, construct a usage scenario of the logic defect indicator of the user's next-stage management logic;

[0062] S212. Determine, based on the logic defect standard knowledge base, a logic defect indicator that is suitable for use in the logic standard usage scenario;

[0063] S213. Determine the logical defects of the user's next-stage management logic by comparing the logical defect indicators.

[0064] In the above technical solution:

[0065] The management logic executed in the historical stage is the management logic that the user has implemented to manage the target event in the stage of historical management of the target event. Its execution feedback is the new processing status, development status and other information fed back by the target event after the user has implemented the management of the target event.

[0066] Using target events, multiple users' historically executed management logic, and their respective execution feedback as scenario elements, we construct a scenario for the use of logic defect indicators for the user's next-stage management logic. We pre-collect the logic defects that are likely to occur when electrical equipment managers use different logic defect indicator usage scenarios. These easily-occurring logic defects serve as logic defect indicators for the corresponding logic defect indicator usage scenarios. Finally, we store the logic defect indicators for each of these different logic defect indicator usage scenarios in a database to create a standard knowledge base for logic defects. Therefore, based on the standard knowledge base for logic defects, we can directly determine the appropriate logic defect indicators for the standard logic usage scenarios. Then, by comparing these logic defect indicators, we can determine the logic defects for the user's next-stage management logic. This improves the accuracy, comprehensiveness, and efficiency of obtaining the logic defects for the user's next-stage management logic.

[0067] Example 3:

[0068] In an embodiment of the present invention, in S2, the step of controlling the digital twin model to timely help the user overcome logic defects includes:

[0069] S221. Planning multiple target contents that users need to accept and understand in sequence to overcome logical defects, thereby obtaining a target content sequence;

[0070] S222. When it is predicted that the digital twin model will continuously and actively generate the first i target contents in the target content sequence within a preset time in the future, if the degree to which the latest attention content reflected by the user's first viewing behaviors generated by viewing the digital twin model through multiple first-person perspectives interferes with the user's sequential acceptance and understanding of the first i target contents does not exceed a first threshold, a second perspective is generated for viewing the digital twin model continuously and actively generating the first i target contents; the first threshold is a threshold representing a greater degree of interference with the user's sequential acceptance and understanding of the first i target contents;

[0071] S223. When the user confirms entering the second perspective under guidance, if the user's historical second viewing behavior generated by viewing the digital twin model through the second perspective reflects that the user's degree of sequential acceptance and understanding of the first i target contents exceeds a second threshold, a third perspective is generated for viewing the next j target contents in the target content sequence continuously and passively generated by the digital twin model; i and j are positive integers, i>j; the sum of i and j is equal to the total number of target contents in the target content sequence; the second threshold is a threshold representing a greater degree of sequential acceptance and understanding of the first i target contents;

[0072] S224: Guide the user to enter the third perspective.

[0073] In the above technical solution:

[0074] Users can overcome logical defects by accepting and understanding multiple target contents in sequence. It should be noted that acceptance and understanding refers to in-depth analysis and comprehensive understanding of each target content, not simply viewing the target content.

[0075] Active generation refers to the display of updated information in the digital twin model, including the equipment's operating status, ongoing tasks, and personnel responsible for the day, as it is updated in real time through IoT connectivity. Future equipment operating status and other information are predicted based on the equipment's historical operating status and tasks. This prediction utilizes an AI model trained through machine learning using extensive historical equipment operating records.

[0076] Furthermore, when users view digital twin models, they generate viewing perspectives and corresponding viewing behaviors. This allows the user's most recently viewed content to be determined based on the user's first viewing behaviors from multiple first-person perspectives. For example, if a user's most recent first-person perspective viewing behavior was 300 seconds, the user is currently viewing that content, which is then considered the most recently viewed content.

[0077] The first key to helping users overcome logical flaws is how to quickly convince users that they do have logical flaws and that they trust that the system can help them overcome them, and to prevent their latest attention content from excessively interfering with their acceptance and understanding of the system's guidance, thereby allowing them to immersively accept the system's help. To this end, when it is predicted that the digital twin model will continuously and actively generate the first i target contents in the target content sequence within a preset time in the future (actively generating the first i target contents gives the user a sense of actual occurrence when viewing them, at which point they will quickly believe that they do have logical flaws and that they trust that the system can help them overcome them), and when the degree to which the latest attention content reflected by the user's first viewing behavior of viewing the digital twin model through multiple first-person perspectives interferes with the user's acceptance and understanding of the first i target contents in sequence does not exceed a first threshold (this can prevent the latest attention content from excessively interfering with their acceptance and understanding of the system's guidance), then we are ready to start helping the user. In addition, i>j is set so that i>N / 2. Then, when the digital twin model continuously and actively generates more than the first half of the target content in the target content sequence, assistance will be implemented, further improving the implementation effect of allowing users to quickly believe that there are indeed logical defects and trust that the system can help them overcome the logical defects under its guidance.

[0078] When providing help, a second perspective is generated to view the digital twin model continuously and actively generating the first i target contents, and the user is guided into the second perspective. If the user confirms to enter, the digital twin model will be viewed through the second perspective to continuously and actively generate the first i target contents, and the user will receive help from the system in an immersive way.

[0079] Passive generation refers to setting the target content on its relevant carrier in the digital twin model. For example, if the target content is the operating result of an electrical equipment, the relevant carrier is the three-dimensional model of the electrical equipment in the digital twin model.

[0080] The next key to helping users overcome logical flaws lies in the fact that the digital twin model does not proactively generate all the target content in the target content sequence. The last j target content in the target content sequence must be generated passively. Under the premise that the user has sufficiently accepted and understood the first i target content in sequence, how can the passive generation of the last j target content be controlled to provide further timely assistance to the user? This prevents premature assistance from affecting the user's acceptance and understanding of the first i target content, and also prevents disconnected assistance from causing a disruption in the user's understanding. To this end, when the user confirms entry into the second perspective under guidance, and the user's historical second viewing behavior generated by viewing the digital twin model through the second perspective reflects that the user's acceptance and understanding of the first i target content in sequence exceeds a second threshold, further assistance is prepared for the user.

[0081] When further assistance is implemented, a third perspective is generated to view the last j target contents in the target content sequence continuously and passively generated by the digital twin model, and then the user is guided to enter the third perspective. After the user enters the third perspective, he or she will view the last j target contents in the target content sequence continuously and passively generated by the digital twin model, and accept and understand them on his or her own (the degree to which the user accepts and understands the first i target contents in sequence exceeds the second threshold, which means that he or she has immersed himself or herself in accepting the system help, and when viewing the last j target contents passively generated, he or she will accept and understand them on his or her own).

[0082] At this point, the user has completed accepting and understanding each target content in sequence, thus overcoming the logical defects.

[0083] The embodiments of the present invention as a whole have greatly improved the implementation effect of controlling the digital twin model to help users overcome logical defects in a timely manner, and improved the applicability of the system.

[0084] Example 4:

[0085] In the embodiment of the present invention, the step of planning multiple target contents that the user needs to accept and understand in sequence to overcome the logic defect in S221, and obtaining the target content sequence includes:

[0086] S2211. Based on the knowledge base of content acceptance and comprehension, plan multiple basic contents that users need to accept and comprehend in order to overcome logical defects, as well as their respective acceptance and comprehension orders and acceptance and comprehension goals;

[0087] S2212: Traverse each basic content in order of acceptance and understanding. During each traversal, based on the user's management profile, predict the deviation between the user's actual acceptance and understanding result after fully viewing the traversed basic content and the corresponding acceptance and understanding target;

[0088] S2213. Constructing a content enhancement strategy usage scenario based on the deviation, the traversed basic content, and other previously traversed basic content;

[0089] S2214. Based on the content enhancement strategy knowledge base, determine a content enhancement strategy that is appropriate for use in the content enhancement strategy usage scenario;

[0090] S2215: Based on the content enhancement strategy, assign content enhancement plans to the traversed basic content and other previously traversed basic content.

[0091] S2216: After traversing each basic content in sequence, each basic content is enhanced in sequence according to its assigned content enhancement plan to obtain multiple target contents;

[0092] S2217. Arrange the target contents in order of acceptance and understanding before content reinforcement to obtain a target content sequence.

[0093] In the above technical solution:

[0094] Collect in advance the multiple basic contents and their respective acceptance and understanding goals that users need to accept and understand in order to overcome different logical defects. For example, in electrical equipment management, a device stops due to a fault. The maintenance personnel directly judge it as a power failure based on experience, believing that it is caused by unstable power voltage or current overload. Therefore, no further examination of other possibilities is made. The system determines that the logical defect is that the maintenance personnel rely too much on experience and intuition and are limited to troubleshooting a certain component. The corresponding multiple basic contents and their respective acceptance and understanding orders and acceptance and understanding goals are shown in Table 1 below:

[0095] Table 1

[0096]

[0097]

[0098] The user's management profile includes at least: user responsibilities, user experience level, user historical management habits, etc. Sufficient viewing means that the user uses sufficient time to view the content. Based on the user's management profile, it is possible to predict the deviation between the actual acceptance and understanding results of the user after fully viewing the basic content traversed and the corresponding acceptance and understanding target. The actual acceptance and understanding result is the user's actual acceptance and understanding situation, and the deviation is the deviation between the result and the target. When making a prediction, a large amount of basic content marked with actual acceptance and understanding results and the user's management profile is used as training samples for machine learning training to obtain an artificial intelligence model. First, the actual acceptance and understanding results of the user after fully viewing the basic content traversed are predicted, and then the deviation is analyzed with the corresponding acceptance and understanding target to determine the deviation.

[0099] The key to planning multiple target contents that users need to accept and understand in sequence to overcome logical defects lies in how to ensure that each target content is fully viewed by users after it is actually applied, so as to improve the implementation effect of helping users overcome logical defects.

[0100] To this end, the deviation situation, the traversed basic content, and other basic content traversed before it are used as situation elements to construct the content enhancement strategy usage scenario. The content enhancement strategies that are suitable for use in different content enhancement strategy usage scenarios are collected in advance and stored in the database to obtain a content enhancement strategy knowledge base. The content enhancement strategy is to enhance the target content so that the user can fully view the traversed basic content and the actual acceptance and understanding results can achieve the corresponding acceptance and understanding goals. The content enhancement strategy involves the content enhancement of the traversed basic content and other basic content traversed before it, and then the content enhancement plans are assigned to each of these basic contents based on this. During implementation, for example: the basic content traversed is the common fault types and causes of the faulty electrical equipment in Table 1 above, and the basic content traversed previously is the coordinated operation status of various components of other electrical equipment of the same type as the faulty electrical equipment in Table 1 above. The deviation is the inability to understand the symptoms and causes of a certain fault. The content enhancement strategy includes Strategy 1 and Strategy 2. Strategy 1 is to add the local coordinated operation status of the fault-related device and other devices connected to it to the basic content traversed previously (so that users can focus on understanding the coordinated operation principle of the fault-related device and other devices connected to it in advance). Strategy 1 is given to the basic content traversed previously as a content enhancement scheme. Strategy 2 is to add the detailed symptoms and causes of the fault-related device to the basic content traversed. Strategy 2 is given to the basic content traversed previously as a content enhancement scheme.

[0101] After traversing each basic content, each basic content is enhanced in turn according to its assigned content enhancement plan to obtain multiple target contents. Finally, each target content is sorted in the order of acceptance and understanding before content enhancement to obtain a target content sequence.

[0102] The embodiments of the present invention generally improve the accuracy, comprehensiveness and efficiency of planning multiple target contents and target content sequences that users need to accept and understand in sequence to overcome logical defects, further improving the applicability of the system.

[0103] Example 5:

[0104] In the embodiment of the present invention, in S222, the step of obtaining the degree to which the latest attention content reflected by the first viewing behavior interferes with the user's sequential acceptance and understanding of the first i target contents includes:

[0105] Based on the first degree quantification system, according to the logical conflicts between the latest attention content and the first i target contents, the degree of interference in users' acceptance and understanding of the first i target contents in sequence is quantified.

[0106] In the above technical solution:

[0107] The content logic conflicts between the latest attention content and the previous i target contents refer to conflicts in the content logic between the latest attention content and any target content, such as irrelevant content or conflicting user effects. The first degree quantification system pre-determines the degree to which different content logic conflicts interfere with users' sequential acceptance and understanding of the target content.

[0108] Therefore, when implementing quantification based on the first degree quantification system, the degree values ​​corresponding to the logical conflicts between the latest attention content and the first i target contents are determined, and a weighted sum is performed (the higher the order of acceptance and understanding of the target content corresponding to the determined degree value, the more it needs to be fully accepted and understood, and a larger weight can be pre-set for the target content. When performing the weighted summation, each determined degree value is multiplied by the weight of its corresponding target content, and the sum of the multiple products obtained by each multiplication is used as the weighted summation result), and finally the result of the weighted sum is used as the degree of interference with the user's acceptance and understanding of the first i target contents in sequence. This improves the accuracy, comprehensiveness, and efficiency of obtaining the degree to which the latest attention content reflected in the first viewing behavior interferes with the user's acceptance and understanding of the first i target contents in sequence, thereby improving the ability of the digital twin model to help users overcome logical defects at the appropriate time. Technicians can also set up a first degree quantification system based on other actual needs.

[0109] Example 6:

[0110] In the embodiment of the present invention, in S223, the step of obtaining the second viewing behavior reflecting the degree to which the user sequentially accepts and understands the first i target contents includes:

[0111] Based on the second degree quantification system, the deviation between the user's current actual acceptance and understanding result represented by the second viewing behavior and the corresponding acceptance and understanding targets of the first i target contents is quantified, and the degree to which the user accepts and understands the first i target contents in sequence is quantified.

[0112] In the above technical solution:

[0113] The corresponding acceptance and comprehension targets for the first i target contents refer to their corresponding acceptance and comprehension targets when they served as the basic content before content reinforcement. The second viewing behavior can represent the user's current actual acceptance and comprehension results. For example, if a user uses an online search engine to further understand related content, it means that the user's actual acceptance of the content is relatively high. Deviation refers to the deviation between the current actual acceptance and comprehension results and the corresponding acceptance and comprehension targets for the first i target contents. The second degree quantification system has degree values ​​corresponding to different deviations, which represent the degree to which the deviation represents the user's acceptance and comprehension of the target contents in sequence.

[0114] Thus, to quantify the degree to which a user sequentially accepts and understands the first i target contents, the second degree quantification system determines the degree values ​​corresponding to the deviations between the user's current actual acceptance and understanding results and the corresponding acceptance and understanding targets of the first i target contents, and performs a weighted summation. (Similarly, the higher the order of acceptance and understanding of the target content involved in the determined degree value corresponding to the deviation, the more necessary it is to fully accept and understand. In this case, a larger weight can be pre-set for this target content. During the weighted summation, each determined degree value is multiplied by the weight of the target content involved in the corresponding deviation, and the sum of the multiple products obtained by these multiplications is used as the weighted summation result.) The weighted summation result is ultimately used as the degree to which the user sequentially accepts and understands the first i target contents. This improves the accuracy, comprehensiveness, and efficiency of obtaining the second viewing behavior reflecting the degree to which the user sequentially accepts and understands the first i target contents, thereby further enhancing the digital twin model's ability to help users overcome logical flaws at the appropriate time. Similarly, technicians can also set up a second degree quantification system based on other practical needs.

[0115] Example 7:

[0116] In an embodiment of the present invention, the method for visual monitoring and management of electrical equipment based on the Internet of Things further includes:

[0117] S3, receiving the management execution strategy of the target event input by the user;

[0118] S4. Issue execution management execution strategy.

[0119] In the above technical solution:

[0120] Users can input the management execution strategy of the target event and the system will execute it.

[0121] Example 8:

[0122] In an embodiment of the present invention, the step of receiving the management execution strategy of the target event input by the user in S3 includes:

[0123] After the control digital twin model helps the user overcome the logic defects in a timely manner, it receives the management execution strategy of the target event input by the user based on the management execution strategy input interface.

[0124] In the above technical solution:

[0125] After the control digital twin model has helped the user overcome the logical defects in a timely manner, it provides the user with a management execution strategy input interface, and then receives the management execution strategy of the target event input by the user based on the management execution strategy input interface to ensure that the management execution strategy is appropriate and correct.

[0126] Example 9:

[0127] In an embodiment of the present invention, the step of issuing an execution management execution policy in S4 includes:

[0128] Send the management execution strategy to the dispatching management platform and management personnel of the electrical equipment.

[0129] In the above technical solution:

[0130] When issuing the execution management execution strategy, the management execution strategy will be sent to the dispatching management platform and management personnel of the electrical equipment. The dispatching management platform can automatically perform relevant dispatching according to the strategy, and the management personnel will also perform relevant dispatching work.

[0131] Example 10:

[0132] The embodiment of the present invention provides a visual monitoring and management system for electrical equipment based on the Internet of Things, such as Figure 3 Shown, including:

[0133] The IoT visual monitoring module 1 is used to detect target events to be managed by users in the digital twin model of visually monitoring electrical equipment built based on the IoT and digital twin technology;

[0134] Management assistance module 2 is used to control the digital twin model to help users overcome logical defects in a timely manner when the user manages the target event and there are logical defects in the user's next stage management logic.

[0135] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A visual monitoring and management method for electrical equipment based on the Internet of Things, characterized in that: include: Detect target events to be managed by users in the digital twin model of electrical equipment that is visually monitored based on the Internet of Things and digital twin technology; When the user manages the target event, if there are logical defects in the user's next-stage management logic, the control digital twin model will help the user overcome the logical defects in a timely manner.

2. The method for visual monitoring and management of electrical equipment based on the Internet of Things according to claim 1, characterized in that: The steps to obtain logical defects include: Based on the target event, the historical executed management logic of multiple users and their respective execution feedback, the use case of the logical defect indicator of the user's next stage management logic is constructed; Based on the knowledge base of logic defect standards, determine the logic defect indicators that are appropriate to use in the use of logic standards; By comparing the logical defect indicators, determine the logical defects of the user's next stage management logic.

3. The method for visual monitoring and management of electrical equipment based on the Internet of Things according to claim 1, characterized in that: Steps to control the digital twin model to help users overcome logic flaws in a timely manner include: To overcome the logic flaws, the user needs to accept and understand multiple target contents in sequence to obtain the target content sequence. When it is predicted that the digital twin model will continuously and actively generate the first i target contents in the target content sequence within a preset time in the future, if the degree to which the latest attention content reflected by the user's first viewing behavior generated by viewing the digital twin model through multiple first-person perspectives interferes with the user's sequential acceptance and understanding of the first i target contents does not exceed a first threshold, a second perspective is generated to view the digital twin model continuously and actively generate the first i target contents; When the user confirms to enter the second perspective under guidance, if the second viewing behavior generated by the user viewing the digital twin model through the second perspective in the past reflects that the degree to which the user has accepted and understood the first i target contents in sequence exceeds the second threshold, a third perspective is generated for viewing the digital twin model to continuously and passively generate the next j target contents in the target content sequence; i and j are positive integers, i>j; the sum of i and j is equal to the total number of target contents in the target content sequence; Guide users into the third perspective.

4. The method for visual monitoring and management of electrical equipment based on the Internet of Things according to claim 3, characterized in that: To overcome the logic flaw, plan multiple target contents that users need to accept and understand in sequence. The steps to obtain the target content sequence include: Based on the knowledge base of content planning for acceptance and comprehension, multiple basic contents that users need to accept and understand in order to overcome logical defects are planned, as well as their respective acceptance and comprehension orders and acceptance and comprehension goals; Traverse each basic content in the order of acceptance and understanding. During each traversal, based on the user's management profile, predict the deviation between the user's actual acceptance and understanding results after fully viewing the traversed basic content and the corresponding acceptance and understanding target; Build scenarios for content enhancement strategies based on deviations, the base content traversed, and other base content traversed before it. Based on the content enhancement strategy knowledge base, determine the content enhancement strategy that is appropriate to use in the content enhancement strategy usage situation; Based on the content enhancement strategy, a content enhancement plan is assigned to the traversed basic content and other basic contents traversed before it; After traversing each basic content in sequence, each basic content is enhanced in sequence according to its assigned content enhancement plan to obtain multiple target contents; Arrange each target content in the order of acceptance and understanding before content reinforcement to obtain the target content sequence.

5. The method for visual monitoring and management of electrical equipment based on the Internet of Things according to claim 3, characterized in that: The steps for obtaining the degree to which the latest attention content reflected by the first viewing behavior interferes with the user's sequential acceptance and understanding of the first i target contents include: Based on the first degree quantification system, according to the logical conflicts between the latest attention content and the first i target contents, the degree of interference in users' acceptance and understanding of the first i target contents in sequence is quantified.

6. The method for visual monitoring and management of electrical equipment based on the Internet of Things according to claim 4, characterized in that: The second viewing behavior reflects the degree to which the user sequentially accepts and understands the first i target contents. The acquisition steps include: Based on the second degree quantification system, the deviation between the user's current actual acceptance and understanding result represented by the second viewing behavior and the corresponding acceptance and understanding targets of the first i target contents is quantified, and the degree to which the user accepts and understands the first i target contents in sequence is quantified.

7. The method for visual monitoring and management of electrical equipment based on the Internet of Things according to claim 1, characterized in that: Also includes: Receive user input target event management execution strategy; Issue execution management execution strategy.

8. The method for visual monitoring and management of electrical equipment based on the Internet of Things according to claim 1, wherein: The steps of managing the execution strategy for receiving a target event input by a user include: After the control digital twin model helps the user overcome the logic defects in a timely manner, it receives the management execution strategy of the target event input by the user based on the management execution strategy input interface.

9. The method for visual monitoring and management of electrical equipment based on the Internet of Things according to claim 7, characterized in that: The steps for issuing an execution management execution policy include: Send the management execution strategy to the dispatching management platform and management personnel of the electrical equipment.

10. A visual monitoring and management system for electrical equipment based on the Internet of Things, characterized in that: include: The IoT visual monitoring module is used to detect target events to be managed by users in the digital twin model of electrical equipment that is visually monitored based on the IoT and digital twin technology; The management assistance module is used to control the digital twin model to help users overcome logical defects in a timely manner when users manage target events if there are logical defects in the user's next stage management logic.

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