Power Internet of Things trust analysis method and related devices for drone inspection

Abstract

This application discloses a method and related apparatus for trust analysis of the power Internet of Things (IoT) for drone inspection, including: calculating the information sufficiency and information deficiency of the drone using the IoT during inspection; calculating the average trust level of the power IoT for drone inspection based on the information sufficiency and information deficiency; and evaluating the trust level of the power IoT to meet the inspection requirements based on the average trust level. The analysis method of this application simultaneously reflects the impact of the sufficiency or deficiency of sensing systems or equipment, data transmission bandwidth, data transmission rate, transmission accuracy, and transmission latency, providing theoretical guidance for trust evaluation of the power IoT for drone inspection and necessary technical support for IoT-based drone inspection.

Description

Technical Field

[0001] The present application relates to the field of electric power technology, and in particular to a trust analysis method and related devices for electric power Internet of Things (IoT) for drone inspections. Background Art

[0002] The three major application scenarios of 5G are a further deepening of the three major application scenarios of data transmission solutions in the power Internet of Things. Relevant experts and scholars at home and abroad have also divided the power Internet of Things business according to the three major application scenarios of 5G and carried out relevant research work.

[0003] The eMBB scenario mainly meets the needs of some high-bandwidth services, which is an enhancement of data collection application scenarios and business information transmission scenarios. At present, the application of the power Internet of Things in this regard is mainly the big video of the power grid, including substation robot inspection, transmission line drone online monitoring, distribution room video monitoring, mobile on-site construction operation control and emergency on-site self-organizing network comprehensive application. Many researchers have tried to apply 5G technology to certain scenarios and have achieved certain results.

[0004] In terms of trust calculation, there are many research results, such as: calculating the reputation value of nodes in the global scope through multiple iterations of the trust chain, introducing probability theory to solve the trust problem, and giving a trust model algorithm performance based on Bayesian network. The algorithm's time decay and penalty factor are considered when calculating trust, which improves the accuracy of the algorithm and its ability to resist strategic attacks. Trust is dynamically established and developed, and its development trend has certain rules. At the same time, there is a certain correlation between two adjacent transactions. The existing algorithms do not well reflect the time correlation, context correlation and development trend of trust. In order to better describe these characteristics of trust, on the basis of the existing Markov chain model, the steady-state probability is introduced to describe the development trend of trust. After each transaction is completed, the transfer matrix is ​​dynamically updated to more accurately describe the context correlation of trust. At the same time, the time decay factor and penalty incentive factor are added to improve the algorithm's ability to resist attacks. However, there is still little research on the existing technology in the calculation of trust in the power Internet of Things for drone inspection. Therefore, there is an urgent need for a trust analysis method for the power Internet of Things for drone inspection to calculate the trust of the power Internet of Things and evaluate the impact of trust on drone inspection. Summary of the invention

[0005] The present application provides a trust analysis method and related devices for an electric power Internet of Things for drone inspections, which are used to calculate the trust of the electric power Internet of Things and evaluate the impact of the trust on drone inspections.

[0006] In view of this, the first aspect of the present application provides a power Internet of Things trust analysis method for drone inspection, the method comprising:

[0007] Based on the first data transmission bandwidth being not less than a preset bandwidth value, the first data transmission rate being not less than a preset rate value, and the first transmission delay being not greater than a preset delay value, in a scenario where a plurality of drones inspect lines in an inspection area, calculate the amount of information redundancy that the drones obtain by using the Internet of Things during the inspection;

[0008] Based on the second data transmission bandwidth being less than a preset bandwidth value, the second data transmission rate being less than a preset rate value, and the second transmission delay being less than a preset delay value, in a scenario where several drones inspect lines in an inspection area, the amount of missing information obtained by the drones using the Internet of Things during the inspection is calculated;

[0009] Calculate the average trust value of the power Internet of Things for drone inspections according to the information surplus and the information missing amount;

[0010] Based on the average trust value, the trust level of the power Internet of Things is evaluated to determine whether it meets the inspection requirements.

[0011] Optionally, based on the first data transmission bandwidth being not less than a preset bandwidth value, the first data transmission rate being not less than a preset rate value, and the first transmission delay being not greater than a preset delay value, in a scenario where a plurality of drones inspect lines in an inspection area, calculating the amount of information redundancy obtained by the drones using the Internet of Things during the inspection specifically includes:

[0012] Substituting the first data transmission bandwidth, the first data transmission rate and the first transmission delay into the information margin calculation formula, the solution is used to obtain the information margin obtained by the drone using the Internet of Things during inspection;

[0013] The information margin calculation formula is:

[0014]

[0015] In the formula, p SI is the information margin, N UAV is the number of drones, B UAV is the first preset bandwidth value, v UAVi is the first preset rate value, is the first preset delay value; μ DB , σ DB The data transmission bandwidth of the power Internet of Things is not less than B UAV And the mean and variance change according to the normal distribution law; μ Dvi , σ Dvi The data transmission rate of the power Internet of Things is not less than vUAVi And the mean and variance change according to the normal distribution law; μ XTi , σ XTi The transmission delay of the power Internet of Things is no more than And the mean and variance change according to the normal distribution law.

[0016] Optionally, based on the second data transmission bandwidth being less than a preset bandwidth value, the second data transmission rate being less than a preset rate value, and the second transmission delay being less than a preset delay value, in a scenario where several drones inspect lines in an inspection area, calculating the amount of missing information obtained by the drones using the Internet of Things during the inspection specifically includes:

[0017] Substituting the second data transmission bandwidth, the second data transmission rate and the second transmission delay into the information missing amount calculation formula, the solution is used to obtain the information missing amount obtained by the drone using the Internet of Things during the inspection;

[0018] The calculation formula for the missing information is:

[0019]

[0020] In the formula, p II is the amount of missing information, N UAV is the number of drones, is the second preset bandwidth value, is a second preset rate value, T UAV is the second preset delay value; μ XB , σ XB The data transmission bandwidth of the power Internet of Things is less than And the mean and variance change according to the normal distribution law; μ Xvi , σ Xvi The data transmission rate of the power Internet of Things is less than And the mean and variance change according to the normal distribution law; μ DTi , σ DTi The transmission delay of the power Internet of Things is greater than T UAV And the mean and variance change according to the normal distribution law.

[0021] Optionally, the calculating the average trust value of the power Internet of Things for drone inspection according to the information surplus amount and the information missing amount specifically includes:

[0022] Substituting the information surplus and the information missing into the trust average value calculation formula, the trust average value of the power Internet of Things for drone inspection is obtained;

[0023] The calculation formula of the average trust value is:

[0024]

[0025] In the formula, B I is the average trust value, p II is the amount of missing information, p SI Provide sufficient information for the information.

[0026] The second aspect of the present application provides a power Internet of Things trust analysis system for drone inspection, the system comprising:

[0027] A first calculation unit is used to calculate the information redundancy obtained by the drones using the Internet of Things during the inspection in a scenario where several drones inspect the lines in the inspection area based on the first data transmission bandwidth being not less than a preset bandwidth value, the first data transmission rate being not less than a preset rate value, and the first transmission delay being not greater than a preset delay value;

[0028] A second calculation unit is used to calculate the amount of missing information obtained by the drones using the Internet of Things during the inspection in a scenario where several drones inspect the lines in the inspection area, based on the second data transmission bandwidth being less than a preset bandwidth value, the second data transmission rate being less than a preset rate value, and the second transmission delay being less than a preset delay value;

[0029] A third calculation unit is used to calculate the average trust value of the power Internet of Things for drone inspection based on the information surplus amount and the information missing amount;

[0030] An evaluation unit is used to evaluate whether the trust level of the power Internet of Things meets the inspection requirements based on the trust average value.

[0031] Optionally, the first computing unit is specifically configured to:

[0032] Substituting the first data transmission bandwidth, the first data transmission rate and the first transmission delay into the information margin calculation formula, the solution is used to obtain the information margin obtained by the drone using the Internet of Things during inspection;

[0033] The information margin calculation formula is:

[0034]

[0035] In the formula, p SI is the information margin, N UAV is the number of drones, B UAV is the first preset bandwidth value, v UAVi is the first preset rate value, is the first preset delay value; μ DB , σ DB The data transmission bandwidth of the power Internet of Things is not less than B UAV And the mean and variance change according to the normal distribution law; μ Dvi , σ Dvi The data transmission rate of the power Internet of Things is not less than v UAVi And the mean and variance change according to the normal distribution law; μ XTi , σ XTi The transmission delay of the power Internet of Things is no more than And the mean and variance change according to the normal distribution law.

[0036] Optionally, the second computing unit is specifically configured to:

[0037] Substituting the second data transmission bandwidth, the second data transmission rate and the second transmission delay into the information missing amount calculation formula, the solution is used to obtain the information missing amount obtained by the drone using the Internet of Things during the inspection;

[0038] The calculation formula for the missing information is:

[0039]

[0040] In the formula, p II is the amount of missing information, N UAV is the number of drones, is the second preset bandwidth value, is a second preset rate value, T UAV is the second preset delay value; μ XB , σ XB The data transmission bandwidth of the power Internet of Things is less than And the mean and variance change according to the normal distribution law; μ Xvi , σ Xvi The data transmission rate of the power Internet of Things is less than And the mean and variance change according to the normal distribution law; μ DTi , σ DTi The transmission delay of the power Internet of Things is greater than T UAV And the mean and variance change according to the normal distribution law.

[0041] Optionally, the third computing unit specifically includes:

[0042] Substituting the information surplus and the information missing into the trust average value calculation formula, the trust average value of the power Internet of Things for drone inspection is obtained;

[0043] The calculation formula of the average trust value is:

[0044]

[0045] In the formula, B I is the average trust value, p II is the amount of missing information, p SI Provide sufficient information for the information.

[0046] The third aspect of the present application provides a power Internet of Things trust analysis device for drone inspection, the device comprising a processor and a memory:

[0047] The memory is used to store program code and transmit the program code to the processor;

[0048] The processor is used to execute the steps of the power Internet of Things trust analysis method for drone inspection as described in the first aspect according to the instructions in the program code.

[0049] The fourth aspect of the present application provides a computer-readable storage medium, which is used to store program code, and the program code is used to execute the power Internet of Things trust analysis method for drone inspection described in the first aspect above.

[0050] It can be seen from the above technical solutions that this application has the following advantages:

[0051] The present application provides a trust analysis method for an electric power Internet of Things for drone inspections, including: based on a first data transmission bandwidth not less than a preset bandwidth value, a first data transmission rate not less than a preset rate value, and a first transmission delay not greater than a preset delay value, in a scenario where several drones inspect lines in an inspection area, calculating the amount of information redundancy obtained by the drones using the Internet of Things during the inspection; based on a second data transmission bandwidth less than a preset bandwidth value, a second data transmission rate less than a preset rate value, and a second transmission delay less than a preset delay value, in a scenario where several drones inspect lines in an inspection area, calculating the amount of information missing obtained by the drones using the Internet of Things during the inspection; calculating an average trust value of the electric power Internet of Things for drone inspections based on the amount of information redundancy and the amount of information missing; and evaluating whether the trust of the electric power Internet of Things satisfies the inspection situation based on the average trust value.

[0052] The technical effect of this application is: the trust of the power Internet of Things for drone inspections can be calculated by using the probability analysis method of the trust of the power Internet of Things for drone inspections proposed in this application. This probability calculation method of the trust of the power Internet of Things for drone inspections simultaneously reflects the influence of the sufficiency and lack of perception systems or equipment, data transmission bandwidth, data transmission rate, transmission accuracy, and transmission delay, providing theoretical guidance for the trust evaluation of the power Internet of Things for drone inspections, and providing necessary technical support for drone inspections based on the Internet of Things. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 A schematic diagram of a flow chart of a power Internet of Things trust analysis method for drone inspection provided in an embodiment of the present application;

[0054] Figure 2 This is a structural diagram of a power Internet of Things trust analysis system for drone inspections provided in an embodiment of the present application. DETAILED DESCRIPTION

[0055] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0056] See also Figure 1 , a power Internet of Things trust analysis method for drone inspection provided in an embodiment of the present application includes:

[0057] Step 101: Based on the first data transmission bandwidth being not less than a preset bandwidth value, the first data transmission rate being not less than a preset rate value, and the first transmission delay being not greater than a preset delay value, in a scenario where a plurality of drones inspect lines in an inspection area, calculate the amount of information redundancy that the drones obtain by using the Internet of Things during the inspection;

[0058] It should be noted that, by using the sensing system or equipment, drones can obtain line data, images, videos and other information during inspections. Data transmission bandwidth, data transmission rate, transmission accuracy, transmission delay, transmission power consumption, communication coverage, data processing delay time, packet loss rate, bit error rate, group error rate, noise, etc. have a great impact on data transmission.

[0059] When the data transmission bandwidth (first data transmission bandwidth) is not less than B UAV , the data transmission rate (first data transmission rate) is not less thanv UAVi , transmission delay (first transmission delay) is no more than In the case of N, the UAV can obtain sufficient and sufficient line inspection data. UAV In a scenario where a drone inspects lines in a certain area, the drone uses the Internet of Things to obtain sufficient information during the inspection. SI It is expressed as:

[0060]

[0061] In the formula, μ DB , σ DB The data transmission bandwidth of the power Internet of Things is not less than B UAV And the mean and variance change according to the normal distribution law; μ Dvi , σ Dvi The data transmission rate of the power Internet of Things is not less than v UAVi And the mean and variance change according to the normal distribution law; μ XTi , σ XTi The transmission delay of the power Internet of Things is no more than And the mean and variance change according to the normal distribution law.

[0062] Step 102: based on the second data transmission bandwidth being less than a preset bandwidth value, the second data transmission rate being less than a preset rate value, and the second transmission delay being less than a preset delay value, in a scenario where a plurality of drones inspect lines in an inspection area, calculate the amount of missing information obtained by the drones using the Internet of Things during the inspection;

[0063] It should be noted that if the sensing system or equipment is missing or insufficient, the drone may obtain insufficient or missing information such as line data, images, and videos during the inspection. The data transmission rate (second data transmission rate) is less than The transmission delay (second transmission delay) is greater than T UAV In this case, the drone may obtain insufficient or missing information such as data, images, and videos of the line during the inspection. II It is expressed as:

[0064]

[0065] Where μ XB , σ XB The data transmission bandwidth of the power Internet of Things is less than And the mean and variance change according to the normal distribution law; μ Xvi , σ Xvi The data transmission rate of the power Internet of Things is less than And the mean and variance change according to the normal distribution law; μ DTi , σ DTi The transmission delay of the power Internet of Things is greater than T UAV And the mean and variance change according to the normal distribution law.

[0066] Step 103: Calculate the average trust value of the power Internet of Things for drone inspections based on the information surplus and information deficiency;

[0067] It should be noted that the information surplus and information missing are substituted into the trust average calculation formula to obtain the trust average of the power Internet of Things for drone inspection;

[0068] The calculation formula for the average trust value is:

[0069]

[0070] In the formula, B I is the average trust value, p II is the amount of missing information, p SI Provide ample information.

[0071] Step 104: Evaluate whether the trustworthiness of the power Internet of Things meets the inspection requirements based on the average trustworthiness value.

[0072] It should be noted that according to the calculated average value of the trust of the power Internet of Things for drone inspections, its trustworthiness can be evaluated to meet the inspection requirements:

[0073] B I =1: The application scenario is very good.

[0074] 0.8≤B I <1: The application scenario is very good.

[0075] 0.5≤B I <0.8: Good application scenario.

[0076] 0.3≤B I <0.5:Poor application scenario.

[0077] 0≤B I <0.3: The application scenario is very poor.

[0078] The above is a trust analysis method for the power Internet of Things for drone inspections provided in an embodiment of the present application, and the following is a trust analysis system for the power Internet of Things for drone inspections provided in an embodiment of the present application.

[0079] See also Figure 2 , a power Internet of Things trust analysis system for drone inspection provided in an embodiment of the present application includes:

[0080] The first calculation unit 201 is used to calculate the information redundancy obtained by the drones using the Internet of Things during the inspection in a scenario where several drones inspect the lines in the inspection area based on the first data transmission bandwidth being not less than a preset bandwidth value, the first data transmission rate being not less than a preset rate value, and the first transmission delay being not greater than a preset delay value;

[0081] The second calculation unit 202 is used to calculate the amount of missing information obtained by the drones using the Internet of Things during the inspection in a scenario where several drones inspect the lines in the inspection area, based on the second data transmission bandwidth being less than a preset bandwidth value, the second data transmission rate being less than a preset rate value, and the second transmission delay being less than a preset delay value;

[0082] The third calculation unit 203 is used to calculate the average trust value of the power Internet of Things for drone inspection based on the information surplus and information missing amount;

[0083] The evaluation unit 204 is used to evaluate whether the trust level of the power Internet of Things meets the inspection requirements according to the average trust level.

[0084] Furthermore, an embodiment of the present application also provides a power Internet of Things trust analysis device for drone inspection, the device comprising a processor and a memory:

[0085] The memory is used to store program code and transmit the program code to the processor;

[0086] The processor is used to execute the steps of the power Internet of Things trust analysis method for drone inspection as described in the above method embodiment according to the instructions in the program code.

[0087] Furthermore, a computer-readable storage medium is also provided in an embodiment of the present application, and the computer-readable storage medium is used to store program code, and the program code is used to execute the power Internet of Things trust analysis method for drone inspection described in the above method embodiment.

[0088] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0089] The terms "first", "second", "third", "fourth", etc. in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein, for example. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0090] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0091] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0092] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0093] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0094] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (full name in English: Read-Only Memory, English abbreviation: ROM), random access memory (full name in English: Random Access Memory, English abbreviation: RAM), disk or optical disk and other media that can store program codes.

[0095] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A trust analysis method for power Internet of Things for drone inspection, characterized in that: include: Based on the first data transmission bandwidth being not less than a preset bandwidth value, the first data transmission rate being not less than a preset rate value, and the first transmission delay being not greater than a preset delay value, in a scenario where a plurality of drones inspect lines in an inspection area, calculate the amount of information redundancy that the drones obtain by using the Internet of Things during the inspection; Based on the second data transmission bandwidth being less than a preset bandwidth value, the second data transmission rate being less than a preset rate value, and the second transmission delay being less than a preset delay value, in a scenario where several drones inspect lines in an inspection area, the amount of missing information obtained by the drones using the Internet of Things during the inspection is calculated; Calculate the average trust value of the power Internet of Things for drone inspections according to the information surplus and the information missing amount; According to the average trust value, the trust level of the power Internet of Things is evaluated to determine whether it meets the inspection requirements; Wherein, based on the first data transmission bandwidth being not less than a preset bandwidth value, the first data transmission rate being not less than a preset rate value, and the first transmission delay being not greater than a preset delay value, in a scenario where several drones inspect lines in an inspection area, calculating the amount of information redundancy obtained by drones using the Internet of Things during the inspection specifically includes: Substituting the first data transmission bandwidth, the first data transmission rate and the first transmission delay into the information margin calculation formula, the solution is used to obtain the information margin obtained by the drone using the Internet of Things during inspection; The information margin calculation formula is: In the formula, p SI is the information margin, N UAV is the number of drones, is the first preset bandwidth value, is the first preset rate value, is the first preset delay value; μ DB , σ DB The data transmission bandwidth of the power Internet of Things is not less than And the mean and variance change according to the normal distribution law; μ Dvi , σ Dvi The data transmission rate of the power Internet of Things is not less than And the mean and variance change according to the normal distribution law; μ XTi , σ XTi The transmission delay of the power Internet of Things is no more than And the mean and variance change according to the normal distribution law; The method of calculating the amount of missing information obtained by the drones using the Internet of Things during the inspection in a scenario where several drones inspect the lines in the inspection area based on the second data transmission bandwidth being less than the preset bandwidth value, the second data transmission rate being less than the preset rate value, and the second transmission delay being less than the preset delay value specifically includes: Substituting the second data transmission bandwidth, the second data transmission rate and the second transmission delay into the information missing amount calculation formula, the solution is used to obtain the information missing amount obtained by the drone using the Internet of Things during the inspection; The calculation formula for the missing information is: In the formula, p II is the amount of missing information, N UAV is the number of drones, is the second preset bandwidth value, is a second preset rate value, is the second preset delay value; μ XB , σ XB The data transmission bandwidth of the power Internet of Things is less than And the mean and variance change according to the normal distribution law; μ Xvi , σ Xvi The data transmission rate of the power Internet of Things is less than And the mean and variance change according to the normal distribution law; μ DTi , σ DTi The transmission delay of the power Internet of Things is greater than And the mean and variance change according to the normal distribution law; The calculating the average trust value of the power Internet of Things for drone inspection according to the information surplus and the information missing amount specifically includes: Substituting the information surplus and the information missing into the trust average value calculation formula, the trust average value of the power Internet of Things for drone inspection is obtained; The calculation formula of the average trust value is: In the formula, B I is the average trust value, p II is the amount of missing information, p SI Provide sufficient information for the information.

2. A power Internet of Things trust analysis system for drone inspection, characterized in that: include: A first calculation unit is used to calculate the information redundancy obtained by the drones using the Internet of Things during the inspection in a scenario where several drones inspect the lines in the inspection area based on the first data transmission bandwidth being not less than a preset bandwidth value, the first data transmission rate being not less than a preset rate value, and the first transmission delay being not greater than a preset delay value; A second calculation unit is used to calculate the amount of missing information obtained by the drones using the Internet of Things during the inspection in a scenario where several drones inspect the lines in the inspection area, based on the second data transmission bandwidth being less than a preset bandwidth value, the second data transmission rate being less than a preset rate value, and the second transmission delay being less than a preset delay value; A third calculation unit is used to calculate the average trust value of the power Internet of Things for drone inspection based on the information surplus amount and the information missing amount; An evaluation unit, configured to evaluate whether the trust level of the power Internet of Things meets the inspection requirements according to the trust average value; Wherein, the first computing unit is specifically used for: Substituting the first data transmission bandwidth, the first data transmission rate and the first transmission delay into the information margin calculation formula, the solution is used to obtain the information margin obtained by the drone using the Internet of Things during inspection; The information margin calculation formula is: In the formula, p SI is the information margin, N UAV is the number of drones, is the first preset bandwidth value, is the first preset rate value, is the first preset delay value; μ DB , σ DB The data transmission bandwidth of the power Internet of Things is not less than And the mean and variance change according to the normal distribution law; μ Dvi , σ Dvi The data transmission rate of the power Internet of Things is not less than And the mean and variance change according to the normal distribution law; μ XTi , σ XTi The transmission delay of the power Internet of Things is no more than And the mean and variance change according to the normal distribution law; The second computing unit is specifically configured to: Substituting the second data transmission bandwidth, the second data transmission rate and the second transmission delay into the information missing amount calculation formula, the solution is used to obtain the information missing amount obtained by the drone using the Internet of Things during the inspection; The calculation formula for the missing information is: In the formula, p II is the amount of missing information, N UAV is the number of drones, is the second preset bandwidth value, is a second preset rate value, is the second preset delay value; μ XB , σ XB The data transmission bandwidth of the power Internet of Things is less than And the mean and variance change according to the normal distribution law; μ Xvi , σ Xvi The data transmission rate of the power Internet of Things is less than And the mean and variance change according to the normal distribution law; μ DTi , σ DTi The transmission delay of the power Internet of Things is greater than And the mean and variance change according to the normal distribution law; The third computing unit specifically includes: Substituting the information surplus and the information missing into the trust average value calculation formula, the trust average value of the power Internet of Things for drone inspection is obtained; The calculation formula of the average trust value is: In the formula, B I is the average trust value, p II is the amount of missing information, p SI Provide sufficient information for the information.

3. A power Internet of Things trust analysis device for drone inspection, characterized in that: The device comprises a processor and a memory: The memory is used to store program code and transmit the program code to the processor; The processor is used to execute the power Internet of Things trust analysis method for drone inspection according to claim 1 according to the instructions in the program code.

4. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store program code, and the program code is used to execute the power Internet of Things trust analysis method for drone inspection according to claim 1.

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