Safety monitoring and verification method and system based on depth camera and RFID technology

Abstract

The invention discloses a safety monitoring and verification method and system based on a depth camera and an RFID technology, and belongs to the technical field of remote calibration, and the method comprises the steps: collecting the depth information between an operator and live equipment in real time through the depth camera, and calculating the real-time distance between the operator and the live equipment; a safety threshold value is preset for comparison based on the real-time distance between the operator and the live-line equipment; the electronic tag information of the power equipment is read through the RFID reader, and secondary verification is carried out on the electronic tag information and the bill of the background monitoring terminal. Power equipment information is remotely verified through the RFID technology, it can be ensured that an operation object is consistent with work bill requirement information, misoperation caused by operation errors is effectively avoided, and personal and equipment accident risks are reduced; the depth camera is used for monitoring the distance between the on-site operating personnel and the electrified equipment in real time, and when the distance is smaller than the safety threshold value, acousto-optic early warning is carried out, so that life safety accidents caused by insufficient operating safety distance can be effectively prevented.

Description

Technical Field

[0001] This invention relates to the field of remote calibration technology, specifically to a security monitoring and verification method and system based on depth camera and RFID technology. Background Technology

[0002] Depth cameras, as devices for acquiring distance information between objects in a scene and the camera, have been widely used in computer vision, urban scene reconstruction, human-computer interaction, medicine, robot localization and navigation in recent years. Meanwhile, RFID technology (Radio Frequency Identification) enables non-contact two-way data communication via radio frequency and uses radio frequency to read and write recording media (electronic tags or RFID cards) to achieve the purpose of identifying targets and exchanging data. It has been widely used in logistics management, warehouse management, and identity recognition. However, there is currently a lack of research on applying depth cameras and RFID technology to on-site safety monitoring and remote equipment verification in power systems.

[0003] Currently, on-site safety monitoring of power systems mainly relies on manual measurement and the setting up of fences, which cannot achieve real-time monitoring and early warning. In addition, on-site power equipment cannot be verified a second time, posing a risk of misoperation. At the same time, remote supervisors cannot verify the information of on-site tools and equipment, making it difficult to ensure operational safety. These shortcomings of existing technologies lead to significant safety hazards in on-site operations of power systems. There is an urgent need for a technical solution that can monitor the distance between operators and live equipment in real time and remotely verify equipment and tool information to ensure the safety of on-site operations of power systems. Summary of the Invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by this invention is that existing power system safety monitoring methods suffer from poor real-time performance, low accuracy, and inability to remotely verify equipment and tool information, as well as the problem of how to improve the safety of on-site operations in power systems.

[0006] To address the aforementioned technical problems, this invention provides the following technical solution: a security monitoring and verification method based on depth camera and RFID technology, comprising the following steps:

[0007] The depth information between the operator and the live equipment is collected in real time by a depth camera, and the real-time distance between the two is calculated. A safety threshold is preset based on the real-time distance between the operator and the live equipment for comparison. The electronic tag information of the power equipment is read by an RFID reader and verified again with the invoice at the back-end monitoring terminal.

[0008] As a preferred embodiment of the safety monitoring and verification method based on depth camera and RFID technology described in this invention, the following steps are included: The collection of depth information between the operator and the live equipment includes: the depth camera using binocular stereo vision technology to acquire disparity data of the scene and calculate depth information; the depth camera continuously scans the work area, and each frame of image is continuously updated to obtain a depth map through depth calculation; each pixel (u,v) in the depth map is converted into three-dimensional coordinates (X,Y,Z) through camera intrinsic parameters; the calculation methods for the three-dimensional coordinates are expressed as follows:

[0009]

[0010] Where (X,Y,Z) represent the horizontal, vertical, and forward / backward directions of the three-dimensional coordinates, u and v represent the horizontal and vertical coordinates of a pixel, and c x c represents the horizontal value of the principal point coordinates. y f represents the vertical value of the principal point coordinates. x f y represents the focal length, and depth(·) is the graphics function; the system calculates the real-time distance d based on the three-dimensional coordinates of the operator and the live equipment using the Euclidean distance formula.

[0011] As a preferred embodiment of the security monitoring and verification method based on depth camera and RFID technology described in this invention, the real-time distance includes a formula for calculating the real-time distance d, expressed as:

[0012]

[0013] Where (X1,Y1,Z1) represents the three-dimensional coordinates of the operator, and (X2,Y2,Z2) represents the three-dimensional coordinates of the live equipment.

[0014] As a preferred embodiment of the safety monitoring and verification method based on depth camera and RFID technology described in this invention, the preset safety threshold comparison includes the system retrieving the non-operational safety distance threshold 'a' and the operational safety distance 'b' from a pre-stored safety distance table according to the voltage level; comparing the real-time distance 'd' with the non-operational safety distance threshold and the operational safety distance 'b' according to the operational absolute safety factors 'm' and 'n'; and providing audio-visual, pop-up, and alarm information to on-site personnel and back-end monitoring personnel based on the comparison results. When 'd' > 'm' * 'b', the indicator light on the audio-visual module at the system's work site is constantly green, the speaker is silent, and the back-end monitoring terminal displays normal information without alarm notification. When 'n' * 'b' ≤ 'd' ≤ 'm' * 'b', the system's work site... The indicator light on the sound and light module switches to flashing yellow, the speaker plays a distance warning tone, and the back-end monitoring terminal issues a pop-up reminder that the working distance is too close. When d < n*b, the indicator light on the sound and light module at the system's work site turns into a high-frequency flashing red, the speaker continuously emits a danger warning tone and reminds the operator to stay away from the alarm, and at the same time, the alarm information is synchronized to the back-end monitoring terminal to issue an alarm message and record the event log. Back-end supervisors need to intervene and manually intervene in the on-site work through telephone or remote communication. The absolute safety factor m is a floating-point number with a value range greater than or equal to 1, which is adjusted according to the work task or voltage level. The relative safety factor n is a floating-point number with a value range greater than or equal to 1, which is adjusted according to the work task or voltage level.

[0015] As a preferred embodiment of the safety monitoring and verification method based on depth camera and RFID technology described in this invention, the step of reading the electronic tag information of power equipment through an RFID reader includes: on-site personnel performing an initial verification of the name and number on the power equipment identification plate using an RFID reader on the system; after receiving a request instruction, the RFID electronic tag sends the power equipment information to the RFID reader for verification; the reader receives the power equipment information and performs verification; if the verification is successful, the information is sent to the back-end monitoring terminal via a wireless signal, waiting for a secondary confirmer to confirm the verification information; if the verification fails, a second verification is performed; if the second verification fails, a verification failure message is returned and sent to the back-end monitoring terminal.

[0016] As a preferred embodiment of the safety monitoring and verification method based on depth camera and RFID technology described in this invention, the secondary verification includes: the backend monitoring terminal receiving power equipment information sent via wireless information, automatically matching the ticket information by calling the ticket containing work order information in the database; if the ticket information matches the equipment information, an operation permission message is sent to the field terminal to remind the field operator that the verification has passed, and the work order status is updated to verified; if the ticket information does not match the equipment information, the field operator is not allowed to operate the power equipment, and the verification work is performed again or the supervisor is notified to intervene for on-site verification.

[0017] As a preferred embodiment of the security monitoring and verification method based on depth camera and RFID technology described in this invention, the electronic tag information of the power equipment includes a unique UID area and a user data area. The UID area is used to identify the unique identity code of the object, and the user data area is used to store power equipment information. The power equipment information includes the power equipment name, power equipment number, power equipment model, production date, and production unit.

[0018] Another objective of this invention is to provide a security monitoring and verification method system based on depth camera and RFID technology.

[0019] To address the aforementioned technical problems, this invention provides the following technical solution: a safety monitoring and verification method system based on depth camera and RFID technology, comprising: a distance calculation module, a safety early warning module, and an information comparison module; the distance calculation module is used to collect depth information between the operator and the live equipment in real time using a depth camera, and calculate the real-time distance between them; the safety early warning module is used to compare the real-time distance between the operator and the live equipment against a preset safety threshold; the information comparison module is used to read the electronic tag information of the power equipment using an RFID reader and perform secondary verification with the documents at the background monitoring terminal.

[0020] The present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the security monitoring and verification method based on depth camera and RFID technology.

[0021] The present invention provides a computer-readable storage medium having a computer program stored thereon, characterized in that, when the computer program is executed by a processor, it implements the steps of the security monitoring and verification method based on depth camera and RFID technology.

[0022] The beneficial effects of this invention are as follows: The safety monitoring and verification method based on depth camera and RFID technology provided by this invention remotely verifies the information of power equipment through RFID technology, which can ensure that the information of the operation object is consistent with the information required by the work order, effectively avoid misoperation caused by operational errors, and reduce the risk of personal injury and equipment accidents. At the same time, the equipment information is confirmed again by the background monitoring terminal, which further reduces the risk of accidents caused by incorrect equipment information. By using a depth camera to monitor the distance between the on-site workers and the live equipment in real time, and issuing an audible and visual warning when the distance is less than the safety threshold, it can effectively prevent life safety accidents caused by insufficient safe working distance. Attached Figure Description

[0023] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 The above is a flowchart of a security monitoring and verification method based on depth camera and RFID technology, provided as an embodiment of the present invention.

[0025] Figure 2 This is a system block diagram of a security monitoring and verification method based on depth camera and RFID technology, provided as an embodiment of the present invention. Detailed Implementation

[0026] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0027] Example 1, referring to Figures 1-2 This is the first embodiment of the present invention, which provides a security monitoring and verification method based on depth camera and RFID technology, including:

[0028] S1: Real-time depth information between the operator and the live equipment is collected using a depth camera, and the real-time distance between them is calculated.

[0029] Furthermore, the acquisition of depth information between the workers and the live equipment includes: a depth camera using binocular stereo vision technology to acquire disparity data of the scene and calculate depth information; the depth camera continuously scans the work area, and each frame of image is continuously updated to obtain a depth map through depth calculation; each pixel (u,v) in the depth map is converted into three-dimensional coordinates (X,Y,Z) through camera intrinsic parameters; the calculation methods for the three-dimensional coordinates are expressed as follows:

[0030]

[0031] Z = depth(u,v)

[0032] Where (X,Y,Z) represent the horizontal, vertical, and forward / backward directions of the three-dimensional coordinates, u and v represent the horizontal and vertical coordinates of a pixel, and c x c represents the horizontal value of the principal point coordinates. y f represents the vertical value of the principal point coordinates. x f y represents the focal length, and depth(·) is the graphics function; the system calculates the real-time distance d based on the three-dimensional coordinates of the operator and the live equipment using the Euclidean distance formula.

[0033] It should be noted that the real-time distance includes the formula for calculating the real-time distance d, which is expressed as:

[0034]

[0035] Where (X1,Y1,Z1) represents the three-dimensional coordinates of the operator, and (X2,Y2,Z2) represents the three-dimensional coordinates of the live equipment.

[0036] It should also be noted that, based on real-time measurement of the distance between the operator and the live equipment, the depth camera can acquire the distance information between the operator and the live equipment in real time and compare it with the preset safe distance threshold. Once the distance is less than the safe threshold, the system will immediately issue an audible and visual alert and a warning to remind the operator to maintain a safe distance, thereby effectively avoiding electric shock accidents. Real-time distance monitoring can also reduce the steps of manual distance measurement and improve work efficiency.

[0037] S2: Based on the comparison of the preset safety threshold between the real-time distance between the operator and the live equipment.

[0038] Furthermore, the preset safety threshold comparison includes the system retrieving the non-operational safety distance threshold 'a' and the operational safety distance 'b' from a pre-stored safety distance table based on the voltage level. Based on the operational absolute safety factors 'm' and 'n', the real-time distance 'd' is compared with the non-operational safety distance threshold and the operational safety distance 'b'. Based on the comparison results, the system provides audio-visual information, pop-up messages, and alarm messages to on-site workers and back-end monitoring personnel. When 'd' > 'm' * 'b', the indicator light on the audio-visual module at the system's work site is solid green, the speaker is silent, and the back-end monitoring terminal displays normal information without alarm prompts. When 'n' * 'b' ≤ 'd' ≤ 'm' * 'b', the indicator light on the audio-visual module at the system's work site switches to flashing yellow. The speaker plays a distance warning tone, while the backend monitoring terminal displays a pop-up reminder that the working distance is too close. When d < n*b, the indicator light set by the sound and light module at the system's work site turns red and flashes at a high frequency. The speaker continuously emits a danger warning tone, reminding workers to stay away from the alarm. At the same time, the alarm information is synchronized to the backend monitoring terminal, which issues an alarm message and records the event log. Backend supervisors need to intervene and manually intervene in the work on site via telephone or remote communication. The absolute safety factor m is a floating-point number with a value greater than or equal to 1, which is adjusted according to the work task or voltage level. The relative safety factor n is a floating-point number with a value greater than or equal to 1, which is adjusted according to the work task or voltage level.

[0039] In an optional implementation, the preset safety threshold comparison can also be applied to scenarios of working at height or at height. By comparing the height between the worker and the reference plane, the safe distance, and the height safety factor, a warning is issued based on the preset safety threshold.

[0040] It should be noted that the real-time distance d can also form a corresponding combination relationship with the non-operational safety distance threshold a, or the real-time distance d can form different judgment combination relationships with the non-operational safety distance threshold a and the operational safety distance b.

[0041] It should also be noted that the system presets safety thresholds and provides audible and visual prompts and warnings to workers, which can effectively remind workers to maintain a safe distance in real time to avoid electric shock accidents. At the same time, the audible and visual prompts can enhance workers' safety awareness, making them pay attention to their surroundings at all times and avoid violating regulations.

[0042] S3: Read the electronic tag information of the power equipment through an RFID reader and perform secondary verification with the invoices at the back-end monitoring terminal.

[0043] Furthermore, reading the electronic tag information of power equipment through an RFID reader includes: on-site personnel using the RFID reader on the system to perform the initial verification of the name and number on the power equipment identification plate; after receiving the request instruction, the RFID electronic tag sends the power equipment information to the RFID reader for verification; the reader receives the power equipment information and performs the verification; if the verification is successful, the information is sent to the back-end monitoring terminal via wireless signal, waiting for a secondary confirmation of the verification information; if the verification fails, it is re-verified; if the second verification fails, a verification failure message is returned and sent to the back-end monitoring terminal.

[0044] It should be noted that, in addition to verifying the information of power equipment, personnel information or work tools can also be verified. The necessary information of the tools can be verified, including name, number, validity period, and whether they have passed inspection.

[0045] It should also be noted that the secondary verification process includes the backend monitoring terminal receiving power equipment information sent via wireless communication, automatically matching the ticket information by calling the ticket containing work order information in the database; if the ticket information matches the equipment information, an operation permission message is sent to the field terminal to remind the field operator that the verification has passed, and the work order status is updated to verified; if the ticket information does not match the equipment information, the field operator is not allowed to operate the power equipment, and the verification work is performed again or the supervisor is notified to intervene and conduct on-site verification.

[0046] It should also be noted that the electronic tag information for power equipment includes a unique UID area and a user data area. The UID area is used to identify the unique identity code of the object, and the user data area is used to store power equipment information. The power equipment information includes the power equipment name, power equipment number, power equipment model, production date, and production unit.

[0047] It should also be noted that the system reads equipment information via RFID and verifies it against work orders, ensuring that operators are operating on the correct objects. This prevents equipment damage or personal injury caused by operational errors. The secondary confirmation mechanism improves operational accuracy and further prevents equipment malfunctions or downtime due to operational errors. The secondary confirmation process also enhances operators' safety awareness, making them more cautious in their operations. Furthermore, the system monitors the operation of on-site equipment in real time through the backend monitoring terminal, promptly identifying and stopping any violations.

[0048] It should also be noted that the back-end monitoring terminal and on-site operators can interact through the system. This interaction includes voice communication, distance measurement information exchange, power equipment marking, and remote reading of power equipment information.

[0049] Example 2 is the second embodiment of the present invention, which provides a security monitoring and verification method based on depth camera and RFID technology. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through experiments.

[0050] This embodiment of the experiment was conducted at a simulated 220kV substation work site. The test area was divided into a live equipment area and a personnel activity area. The test objects included, but were not limited to, 220kV busbars, 110kV circuit breakers, and 35kV disconnect switches. A binocular depth camera, RFID reader, and audible and visual warning module were deployed. The safety distance settings included non-operational safety distances and operational safety distances. The non-operational safety distances were 3m for 220kV and 1.5m for 110kV. The operational safety distances were 3m for 220kV, 1.5m for 110kV, and 1m for 35kV.

[0051] Workers simulate moving around in the area with live equipment, i.e., approaching and moving away from the live equipment; depth cameras collect the spatial coordinates of the workers and the live equipment in real time, calculate the real-time distance and compare it with the set safe distance threshold, and record the system's early warning trigger time and the accuracy of the audio-visual prompts.

[0052] Operators use RFID readers to scan equipment tags and perform initial verification. The back-end monitoring terminal receives equipment information and matches it with the work order, simulating erroneous operation scenarios, such as attempting to operate unauthorized equipment, like a 110kV circuit breaker not being in the work order. The RFID reading success rate and the monitoring terminal's response time for confirming erroneous operations are recorded, resulting in the test data in Table 1.

[0053] Table 1 System Simulation Test Data

[0054]

[0055] Analysis of the experimental data shows that, when simulating the performance of safe distance monitoring, the average monitoring error of the system for energized equipment using the method of the present invention is ±2.7cm, compared to an average error of ±10cm in the prior art, representing an improvement in accuracy of approximately 73%. The average warning response time of the method of the present invention is 115ms, compared to an average response time of 500ms in the traditional infrared rangefinder, representing an improvement in real-time performance of approximately 77%. When the safe distance is below the threshold, the LED and buzzer in the acoustic-optical model are triggered synchronously, resulting in a false alarm rate that is 5% lower than the false alarm rate of the existing system due to ambient light interference.

[0056] When simulating the verification and anti-misoperation performance of power equipment information, the RFID reading success rate of this invention is greater than 98%. For unauthorized power equipment, the method of this invention can effectively intercept it with a response time of less than 200ms, whereas the response time is longer due to the need for manual verification.

[0057] Example 3 is the third embodiment of the present invention, which differs from the previous two embodiments in that:

[0058] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0059] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0060] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0061] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0062] Example 4, refer to Figure 2 This is the fourth embodiment of the present invention. This embodiment provides a security monitoring and verification method system based on depth camera and RFID technology, including a distance calculation module, a security early warning module, and an information comparison module.

[0063] The distance calculation module is used to collect the depth information between the operator and the live equipment in real time through a depth camera and calculate the real-time distance between them; the safety warning module is used to compare the real-time distance between the operator and the live equipment with a preset safety threshold; and the information comparison module is used to read the electronic tag information of the power equipment through an RFID reader and perform secondary verification with the documents at the back-end monitoring terminal.

[0064] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A security monitoring and verification method based on depth camera and RFID technology, characterized in that: include, The depth information between the workers and the live equipment is collected in real time using a depth camera, and the real-time distance between them is calculated. Based on a comparison of preset safety thresholds between the real-time distance between the operator and the live equipment; The information on the electronic tags of power equipment is read by an RFID reader and then verified against the invoices in the back-end monitoring system.

2. The security monitoring and verification method based on depth camera and RFID technology as described in claim 1, characterized in that: The depth information collected between the operator and the live equipment includes the use of a depth camera to acquire parallax data of the scene using binocular stereo vision technology and to calculate depth information. The depth camera continuously scans the work area, and each frame of image is continuously updated to obtain a depth map through depth calculation. Each pixel (u,v) in the depth map is converted into three-dimensional coordinates (X,Y,Z) through camera intrinsic parameters; The calculation methods for three-dimensional coordinates are expressed as follows: Z = depth(u,v) Where (X,Y,Z) represent the horizontal, vertical, and forward / backward directions of the three-dimensional coordinates, u and v represent the horizontal and vertical coordinates of a pixel, and c x c represents the horizontal value of the principal point coordinates. y f represents the vertical value of the principal point coordinates. x f y These represent the focal length, and depth(·) is a graphing function. The system calculates the real-time distance d based on the three-dimensional coordinates of the operator and the live equipment using the Euclidean distance formula.

3. The security monitoring and verification method based on depth camera and RFID technology as described in claim 2, characterized in that: The real-time distance includes the formula for calculating the real-time distance d, expressed as: Where (X1,Y1,Z1) represents the three-dimensional coordinates of the operator, and (X2,Y2,Z2) represents the three-dimensional coordinates of the live equipment.

4. The security monitoring and verification method based on depth camera and RFID technology as described in claim 3, characterized in that: The preset safety threshold comparison includes the system retrieving the non-operational safety distance threshold a and the operational safety distance b from the pre-stored safety distance table according to the voltage level, comparing the real-time distance d with the non-operational safety distance threshold and the operational safety distance b according to the operation absolute safety coefficients m and n, and providing prompts to on-site operators and back-end monitoring personnel based on the comparison results through sound and light information, pop-up information, and alarm information. When d > m*b, the indicator light of the sound and light module at the system's working site is always green, the speaker is silent, and the background monitoring terminal displays normal information without alarm prompts. When n*b≤d≤m*b, the indicator light set by the sound and light module at the system's working site switches to flashing yellow, the speaker plays a distance warning sound, and the background monitoring terminal issues a pop-up reminder that the working distance is too close; When d < n*b, the indicator light set by the sound and light module at the system's work site turns red and flashes at a high frequency. The speaker continuously emits a danger warning and reminds the workers to stay away from the alarm. At the same time, the alarm information is synchronized to the background monitoring terminal to issue an alarm message and record the event log. The background supervisor needs to intervene forcibly and manually intervene in the work on site through telephone or remote communication. The absolute safety factor m for the operation is a floating-point number with a value greater than or equal to 1, and is adjusted according to the task or voltage level. The relative safety factor n for the operation is a floating-point number with a value greater than or equal to 1, and is adjusted according to the task or voltage level.

5. The security monitoring and verification method based on depth camera and RFID technology as described in claim 4, characterized in that: The process of reading electronic tag information of power equipment via RFID reader includes on-site personnel using the RFID reader on the system to perform the initial verification of the name and number on the power equipment identification plate; After receiving a request instruction, the RFID electronic tag sends verification information of the power equipment to the RFID reader, and the reader performs verification after receiving the power equipment information. If the verification is successful, the information will be sent to the backend monitoring terminal via wireless signal, and the verification information will be confirmed by a secondary confirmer. If the verification fails, re-verify. If the second verification fails, return a verification failure message and send the message to the backend monitoring terminal.

6. The security monitoring and verification method based on depth camera and RFID technology as described in claim 4, characterized in that: The secondary verification process includes the backend monitoring terminal receiving power equipment information sent via wireless information and automatically matching ticket information by calling tickets with work order information from the database. If the ticket information matches the equipment information, an operation permission message is sent to the on-site terminal to remind the on-site operator that the verification has been passed and the work order status is updated to verified. If the ticket information does not match the equipment information, on-site personnel are not allowed to operate the power equipment, and verification work must be carried out again or supervisory personnel must be notified to intervene and conduct on-site verification.

7. The security monitoring and verification method based on depth camera and RFID technology as described in claim 4, characterized in that: The electronic tag information for the power equipment includes a unique UID area and a user data area. The UID area is used to identify the unique identity code of the object, and the user data area is used to store power equipment information. The information on power equipment includes the name of the power equipment and the number of the power equipment.

8. A security monitoring and verification method system based on depth camera and RFID technology, applying the security monitoring and verification method based on depth camera and RFID technology as described in any one of claims 1 to 7, characterized in that, include: Distance calculation module, safety early warning module, information comparison module; The distance calculation module is used to collect the depth information between the operator and the live equipment in real time through a depth camera, and calculate the real-time distance between the two. The safety early warning module is used to compare a preset safety threshold based on the real-time distance between the operator and the live equipment; The information comparison module is used to read the electronic tag information of power equipment through an RFID reader and perform secondary verification with the invoices at the back-end monitoring terminal.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the security monitoring and verification method based on depth camera and RFID technology as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the security monitoring and verification method based on depth camera and RFID technology as described in any one of claims 1 to 7.

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