An integrated platform for intelligent data analysis and decision-making management of substation access control

Abstract

The present invention relates to the field of substation access control decision-making and control technology, and in particular to an integrated platform for substation access control intelligent data analysis and decision-making management, including an access control identification module, an information confirmation module, an equipment selection module, a safety identification module, and an access control module. The present invention determines the work area that the staff needs to enter, and determines the necessary safety equipment for entering the work area based on the risk information of the power equipment in the work area. Then, the on-site safety equipment worn by the staff is identified, and the on-site safety equipment is compared with the necessary safety equipment, thereby ensuring that the staff carries all the necessary safety equipment when entering the work area. At the same time, according to the equipment coordinates of the on-site safety equipment and the actual coordinates of the scene, the wearing position of the safety equipment by the staff is identified, thereby further improving personal safety and the stability of substation operation.

Description

Technical Field

[0001] The present invention relates to the technical field of substation access control decision-making and control, and in particular to an integrated platform for substation access control intelligent data analysis and decision-making management. Background Art

[0002] The access control system is an important part of the substation's safety performance. With the development of economy and technology, the disadvantages of the traditional access control system have gradually emerged, directly affecting the safety of the substation.

[0003] The prior art CN118230457A discloses a control method and control system for station building access control with full intranet operation, which includes three parts: a station building end, an encryption platform and an access control platform; the station building end includes a smart door lock, a surveillance camera, an access controller and an intelligent gateway; the access control platform is used to issue time-limited smart door lock opening instructions and task execution instructions, and receive site status data uploaded by the station building end; the task execution instructions include operating permissions corresponding to the emergency station staff and the task execution; the station building end realizes intranet data interaction with the access control platform through the intelligent gateway, and part or all of the interaction data is encrypted through the encryption platform.

[0004] Since the power equipment in the substation will pose a threat to the safety of the staff during operation or maintenance, wearing appropriate safety equipment when entering the substation is an important measure to ensure the personal safety of the staff. However, since different power equipment in the substation poses different security threats, the safety equipment required by the staff when entering different equipment areas in the substation will be different. Furthermore, due to negligence or lack of safety awareness of the staff, it is easy to cause incomplete wearing of safety equipment, further increasing the risk to the personal safety of the staff. Summary of the Invention

[0005] The purpose of the present invention is to solve the problems in the background technology and to propose an integrated platform for substation access control intelligent data analysis and decision-making management.

[0006] The present invention adopts the following technical solution: an integrated platform for intelligent data analysis and decision-making management of substation access control, including:

[0007] The security information input terminal is used to input the authority information of the substation, where the authority information includes personnel identity information and safety equipment information;

[0008] Access control identification terminal, used to identify staff members and generate identification signals during identity identification;

[0009] The information confirmation module is used to detect the identification signal and obtain the work information of the target confirmation personnel based on the identification signal. The target confirmation personnel selects the area to be entered in the information interaction terminal. Then, based on the equipment function information of the power equipment in the area to be entered and the work information of the target confirmation personnel, the work area to be entered by the target confirmation personnel is determined. The target confirmation personnel refers to the staff member who is undergoing identity identification, and the area to be entered refers to the substation area independently selected by the target confirmation personnel;

[0010] The equipment selection module is used to identify the electrical equipment in the target confirmation personnel's work area and determine the necessary safety equipment in the work area based on the risk information of the electrical equipment and the application characteristics of the safety equipment;

[0011] The safety identification module is used to identify the electronic tag signals within the effective working area and determine the on-site safety equipment. It first matches the necessary safety equipment with the on-site safety equipment to generate an advanced analysis signal. Then, based on the advanced analysis signal, a spatial coordinate system is set. Based on image recognition technology, the desired equipment coordinates and the actual scene coordinates of the on-site safety equipment are determined in the spatial coordinate system. The desired equipment coordinates of the on-site safety equipment and the corresponding actual scene coordinates are matched for consistency, and a safety signal and an abnormal wearing signal are generated based on the matching results. The image recognition technology in the present invention is conventional means and will not be described in detail.

[0012] The access control module is used to identify safety signals and generate corresponding pass instructions based on the safety signals.

[0013] As a further solution of the present invention, the safety equipment information refers to the electronic tag information of the safety equipment that the staff entering the substation need to wear;

[0014] Furthermore, each safety device is installed with an electronic tag. When the electronic tag enters the effective working area, the tag information in the electronic tag can be automatically recognized by the reader. The tag information refers to the independent code of the safety device, and each safety device corresponds to a separate independent code.

[0015] As a further solution of the present invention, the access control recognition module includes a face detection unit and a monitoring recognition unit. The face detection unit identifies the identity of the staff based on the face recognition principle and generates a recognition signal. The monitoring recognition unit is used to collect image information entering the recognition area, wherein the recognition area refers to the area set at the entrance access control recognition location of the substation, and the recognition area is the optimal recognition distance of the face detection unit. Furthermore, when the face detection unit generates a recognition signal, the recognition signal is transmitted to the monitoring recognition unit. When the monitoring recognition unit detects the recognition signal, image information of the recognition area is collected and transmitted to the security recognition module.

[0016] As a further solution of the present invention, a method for determining the work area entered by the target confirmation person includes:

[0017] The target confirmation personnel selects the substation area to be entered in the information interaction terminal and marks it as the area to be entered;

[0018] Identify the power equipment in the area to be entered and extract the equipment function information of the power equipment. Then, based on the Word2vec and K-Means clustering algorithms, calculate the skill matching degree of the equipment function information and the work information of the target confirmation personnel to obtain the work matching value. If the work matching value is greater than or equal to the matching threshold X1, the area to be entered is further marked as a working area. On the contrary, if the work matching value is less than the matching threshold X1, a secondary confirmation signal is generated and transmitted to the terminal device of the superior staff. The superior staff confirms the identity information of the target confirmation personnel. If the identity confirmation is successful, the area to be entered is marked as a working area. On the contrary, if the identity confirmation fails, an interaction termination signal is generated and transmitted to the decision-making and warning module, thereby prohibiting the target confirmation personnel from entering the substation.

[0019] As a further aspect of the present invention, a method for determining necessary safety equipment for a work area includes:

[0020] Identify the electrical equipment in the work area and, using big data technology, retrieve risk information about the electrical equipment in the work area. Risk information refers to the potential for dangerous accidents when operating the electrical equipment.

[0021] The application characteristic scenarios of the safety equipment are obtained. Based on the risk information of the power equipment in the working area, the risk information is matched with the application characteristic scenarios of the safety equipment, and the safety equipment obtained in the matching results is marked as necessary safety equipment. The application characteristic scenario refers to the scenario environment in which the safety equipment is used.

[0022] As a further embodiment of the present invention, a method for generating an advanced analysis signal includes:

[0023] First, the electronic tag signal in the effective working area is identified, and based on the tag information of the electronic tag signal, the safety equipment present in the effective working area at this time is identified and marked as on-site safety equipment;

[0024] The necessary safety equipment is compared with the on-site safety equipment. If the necessary safety equipment has corresponding matching items in the on-site safety equipment, an advanced analysis signal is generated. Conversely, if there is a safety equipment in the necessary safety equipment that has no corresponding matching item in the on-site safety equipment, a first-level threat signal is generated and transmitted to the decision-making and warning module.

[0025] As a further embodiment of the present invention, the method for generating the safety signal and the wearing abnormality signal includes:

[0026] When generating advanced analysis signals, the intersection of the access control system in the substation and the ground is used as the origin, and a spatial coordinate system is established;

[0027] Then, based on the image information, the position coordinates of the target confirmed person are marked in the spatial coordinate system;

[0028] According to the wearing position of the on-site safety equipment, the part image of the target confirmation person is identified, and the position coordinates of the corresponding part image in the spatial coordinate system are marked as the equipment placement coordinates;

[0029] The reader detects the signal strength of the electronic tag and identifies the coordinate position of the electronic tag in the spatial coordinate system based on the KNN algorithm, and marks this coordinate position as the scene actual coordinate;

[0030] The equipment coordinates of the on-site safety equipment are matched with the corresponding scene actual coordinates. If the equipment coordinates of the on-site safety equipment are consistent with the scene actual coordinates, a safety signal is generated. Conversely, if the equipment coordinates of the on-site safety equipment are inconsistent with the scene actual coordinates, a wearing abnormality signal is generated and transmitted to the decision-making and warning module.

[0031] As a further solution of the present invention, it also includes a decision-making and early warning module;

[0032] The decision-making and warning module is used to receive warning signals and generate corresponding sound and light reminder information based on the warning signals. The warning signals include interaction termination signals, first-level threat signals and wearing abnormality signals.

[0033] During operation, the present invention determines the work area that the staff needs to enter and, based on the risk information of the electrical equipment in the work area, determines the necessary safety equipment for entering the work area. It then identifies the on-site safety equipment worn by the staff and compares the on-site safety equipment with the necessary safety equipment, thereby ensuring that the staff carries all the necessary safety equipment when entering the work area, further enhancing the safety awareness of the staff.

[0034] The present invention constructs a spatial coordinate system through image information collected by the access control recognition terminal, and then identifies the worker's part image based on the wearing position of the on-site safety equipment, marks it in the spatial coordinate system, obtains the equipment's required coordinates, identifies the electronic tag signal in the effective working area, determines the scene's actual coordinates of the on-site safety equipment, matches the equipment's required coordinates with the scene's actual coordinates for consistency, and then identifies the worker's wearing position of the safety equipment, further improving personal safety and the stability of substation operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 Schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0036] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0037] Reference Figure 1 , an integrated platform for intelligent data analysis and decision-making management of substation access control, including a security information entry module, an access control identification module, an information confirmation module, an equipment selection module, a security identification module, an access control module, and a decision-making and early warning module;

[0038] The security information entry module is used to enter the authority information of the substation, where the authority information includes personnel identity information and safety equipment information. Furthermore, the personnel identity information is the identity information of the staff who are authorized to enter the substation. Usually, the staff authorized to enter the substation are the operation and maintenance personnel or responsible personnel of the substation. The safety equipment information refers to the electronic tag information of the safety equipment that the staff entering the substation need to wear, such as safety helmets, insulating gloves, insulating boots and protective glasses. The security information entry module transmits the authority information to the information confirmation module and the security identification module respectively;

[0039] In one embodiment of the present invention, each safety device is equipped with an electronic tag. The electronic tag in this embodiment is an electronic tag installed using RFID technology. When the electronic tag enters the effective working area, the tag information in the electronic tag can be automatically recognized by the reader. Furthermore, the tag information refers to the independent code of the safety device, and each safety device corresponds to a separate independent code.

[0040] The access control recognition module is used to identify the staff entering the substation. When the access control recognition module detects that the staff is performing identity recognition, it generates an identification signal and transmits it to the information confirmation module;

[0041] Among them, the access control recognition module uses image recognition to collect and confirm the identity of the staff;

[0042] In one embodiment of the present invention, the access control recognition module includes a face detection unit and a monitoring recognition unit. The face detection unit identifies the identity of the staff based on the face recognition principle and generates a recognition signal. The monitoring recognition unit is used to collect image information entering the recognition area, wherein the recognition area refers to the area set at the entrance access control recognition location of the substation, and the recognition area is the optimal recognition distance of the face detection unit. Further, when the face detection unit generates a recognition signal, the recognition signal is transmitted to the monitoring recognition unit. When the monitoring recognition unit detects the recognition signal, image information of the recognition area is collected and transmitted to the security recognition module;

[0043] The information confirmation module is used to detect the identification signal. When the information confirmation module detects the identification signal, it obtains the identity information of the staff member who is currently undergoing identity identification, confirms the corresponding staff member based on the identity information, and marks the staff member as the target confirmation person. It extracts the work information of the target confirmation person and determines the work area of ​​the target confirmation person based on the work information of the target confirmation person. The specific confirmation method of the work area includes:

[0044] The target confirmation personnel selects the substation area to be entered in the information interaction terminal and marks it as the area to be entered;

[0045] Identify the power equipment in the area to be entered and extract the equipment function information of the power equipment. Then, based on the artificial intelligence algorithm, calculate the skill matching degree between the equipment function information and the work information of the target confirmation personnel to obtain the work matching value. If the work matching value is greater than or equal to the matching threshold X1, the area to be entered is further marked as a work area. On the contrary, if the work matching value is less than the matching threshold X1, a secondary confirmation signal is generated and transmitted to the terminal device of the superior staff. The superior staff confirms the identity information of the target confirmation personnel. If the identity confirmation is successful, the area to be entered is marked as a work area. On the contrary, if the identity confirmation fails, an interaction termination signal is generated and transmitted to the decision-making and early warning module, thereby prohibiting the target confirmation personnel from entering the substation. Among them, the matching threshold X1 is obtained by technical personnel in this field after big data calculation. The superior staff refers to the upper-level manager of the target confirmation personnel, such as a direct leader.

[0046] It should be further explained that the artificial intelligence algorithm in this embodiment uses a combination of Word2vec and K-Means clustering algorithms to calculate the work matching value. The Word2vec model is used to convert the content of the work information and the device function information description into vectors in a high-dimensional space. The K-Means clustering method is then used to perform cluster analysis on these vectors, and the cluster analysis results are used as the work matching value. The specific Word2vec and K-Means clustering algorithms are existing technologies and will not be described in detail here.

[0047] The equipment selection module identifies the personnel's work area based on the target, identifies the electrical equipment in the work area, and determines the necessary safety equipment for this work area based on the application environment of the electrical equipment. The specific method for determining the necessary safety equipment includes:

[0048] Identify electrical equipment in the work area and, using big data technology, retrieve risk information about the equipment in the work area. Risk information refers to potential dangerous accidents that may occur when operating electrical equipment, such as electric shock accidents caused by operating high-voltage equipment or mechanical accidents caused by collisions.

[0049] The application feature scenarios of the safety equipment are then acquired. Based on the risk information of the electrical equipment in the work area, the risk information is matched with the application feature scenarios of the safety equipment, and the safety equipment obtained in the matching results is marked as necessary safety equipment.

[0050] It should be further explained that the application feature scenario refers to the scenario environment in which the safety equipment is used. For example, when handling chemicals or transformer oil, workers are required to wear chemical protective clothing to prevent direct skin contact and irritation or poisoning. In this embodiment, information matching uses NLP technology to process and identify text information based on risk information and text information of the application feature scenario. Specifically, NLP technology is an existing technology and will not be described in detail here.

[0051] The safety recognition module performs safety recognition analysis on the collected image information based on the selected necessary safety equipment. The specific safety recognition analysis methods include:

[0052] First, the electronic tag signal in the effective working area is identified, and based on the tag information of the electronic tag signal, the safety equipment present in the effective working area at this time is identified and marked as on-site safety equipment;

[0053] Compare the necessary safety equipment with the on-site safety equipment. If the necessary safety equipment has a corresponding match in the on-site safety equipment, an advanced analysis signal is generated. Conversely, if there is a safety equipment in the necessary safety equipment that has no corresponding match in the on-site safety equipment, a level 1 threat signal is generated and transmitted to the decision-making and warning module.

[0054] When the advanced analysis signal is generated, the intersection of the access control in the substation and the ground is used as the origin, and a spatial coordinate system is established. Then, based on the image information, the position coordinates of the target confirmed person are marked in the spatial coordinate system;

[0055] According to the wearing position of the on-site safety equipment, the part image of the target confirmation person is identified, and the position coordinates of the corresponding part image are marked as the equipment's required coordinates in the spatial coordinate system. For example, there are insulating gloves in the on-site safety equipment, and the part image corresponding to the insulating gloves is the hand image of the target confirmation person. Then, the hand image is identified in the image information, and according to the position of the hand image in the image information, the corresponding hand position is marked in the spatial coordinate system, thereby obtaining the equipment's required coordinates of the insulating gloves;

[0056] The reader detects the signal strength of the electronic tag and identifies the coordinate position of the electronic tag in the spatial coordinate system based on the KNN algorithm. This coordinate position is marked as the scene actual coordinate. The KNN algorithm is an existing technology and will not be described in detail here.

[0057] The equipment coordinates of the on-site safety equipment are matched with the corresponding scene actual coordinates. If the equipment coordinates of the on-site safety equipment are consistent with the scene actual coordinates, a safety signal is generated. On the contrary, if the equipment coordinates of the on-site safety equipment are inconsistent with the scene actual coordinates, a wearing abnormality signal is generated and transmitted to the decision-making and warning module;

[0058] The access control module is used to identify safety signals, generate corresponding access instructions based on the safety signals, and allow staff in the identified area to enter the substation;

[0059] The decision-making and warning module is used to receive warning signals and generate corresponding sound and light reminder information based on the warning signals. Specifically, the warning signals include interaction termination signals, level one threat signals, and wear abnormality signals, which then remind relevant management personnel to conduct further checks on the staff entering.

[0060] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. An integrated platform for intelligent data analysis and decision-making management of substation access control, characterized by: include: The security information input terminal is used to input the authority information of the substation, where the authority information includes personnel identity information and safety equipment information; Access control identification terminal, used to identify staff members and generate identification signals during identity identification; The information confirmation module is used to detect the identification signal and obtain the work information of the target confirmation personnel based on the identification signal. The target confirmation personnel selects the area to be entered in the information interaction terminal. Then, based on the equipment function information of the power equipment in the area to be entered and the work information of the target confirmation personnel, the work area to be entered by the target confirmation personnel is determined. The target confirmation personnel refers to the staff member who is undergoing identity identification, and the area to be entered refers to the substation area independently selected by the target confirmation personnel; The equipment selection module is used to identify the electrical equipment in the target confirmation personnel's work area and determine the necessary safety equipment in the work area based on the risk information of the electrical equipment and the application characteristics of the safety equipment; The safety identification module is used to identify the electronic tag signals in the effective working area and determine the on-site safety equipment. It first matches the necessary safety equipment with the on-site safety equipment to generate an advanced analysis signal. Then, based on the advanced analysis signal, it sets a spatial coordinate system and uses image recognition technology to determine the equipment coordinates and scene coordinates of the on-site safety equipment in the spatial coordinate system. The equipment coordinates of the on-site safety equipment are matched with the corresponding scene coordinates for consistency, and a safety signal and a wearing abnormality signal are generated based on the matching results. Access control module, used to identify safety signals and generate corresponding access instructions based on the safety signals; Methods for determining the work area that target confirmation personnel enter include: The target confirmation personnel selects the substation area to be entered in the information interaction terminal and marks it as the area to be entered; Identify the power equipment in the area to be entered and extract the equipment function information of the power equipment. Then, based on the Word2vec and K-Means clustering algorithms, calculate the skill matching degree of the equipment function information and the work information of the target confirmation personnel to obtain the work matching value. If the work matching value is greater than or equal to the matching threshold X1, the area to be entered is further marked as a working area. On the contrary, if the work matching value is less than the matching threshold X1, a secondary confirmation signal is generated and transmitted to the terminal device of the superior staff. The superior staff confirms the identity information of the target confirmation personnel. If the identity confirmation is successful, the area to be entered is marked as a working area. On the contrary, if the identity confirmation fails, an interaction termination signal is generated and transmitted to the decision-making and warning module, thereby prohibiting the target confirmation personnel from entering the substation.

2. The integrated platform for intelligent data analysis and decision-making management of substation access control according to claim 1 is characterized in that: Safety equipment information refers to the electronic tag information of the safety equipment that workers entering the substation need to wear; Each safety device is equipped with an electronic tag. When the electronic tag enters the effective working area, the tag information in the electronic tag can be automatically recognized by the reader. The tag information refers to the independent code of the safety device, and each safety device corresponds to a separate independent code.

3. The integrated platform for intelligent data analysis and decision-making management of substation access control according to claim 1 is characterized in that: The access control recognition module includes a face detection unit and a monitoring recognition unit. The face detection unit identifies the staff member based on face recognition and generates an identification signal. The monitoring recognition unit is used to collect image information entering the recognition area, where the recognition area refers to the area set at the entrance access control recognition location of the substation, and the recognition area is the optimal recognition distance for the face detection unit. When the face detection unit generates a recognition signal, the recognition signal is transmitted to the monitoring recognition unit. When the monitoring recognition unit detects the recognition signal, image information of the recognition area is collected and transmitted to the security recognition module.

4. The integrated platform for intelligent data analysis and decision-making management of substation access control according to claim 1 is characterized in that: Methods for determining necessary safety equipment for a work area include: Identify the electrical equipment in the work area and, using big data technology, retrieve risk information about the electrical equipment in the work area. Risk information refers to the potential for dangerous accidents when operating the electrical equipment. The application characteristic scenarios of the safety equipment are obtained. Based on the risk information of the power equipment in the working area, the risk information is matched with the application characteristic scenarios of the safety equipment, and the safety equipment obtained in the matching results is marked as necessary safety equipment. The application characteristic scenario refers to the scenario environment in which the safety equipment is used.

5. The integrated platform for intelligent data analysis and decision-making management of substation access control according to claim 1 is characterized in that: Advanced analysis signal generation methods include: First, the electronic tag signal in the effective working area is identified, and based on the tag information of the electronic tag signal, the safety equipment present in the effective working area at this time is identified and marked as on-site safety equipment; The necessary safety equipment is compared with the on-site safety equipment. If the necessary safety equipment has corresponding matching items in the on-site safety equipment, an advanced analysis signal is generated. Conversely, if there is a safety equipment in the necessary safety equipment that has no corresponding matching item in the on-site safety equipment, a first-level threat signal is generated and transmitted to the decision-making and warning module.

6. The integrated platform for intelligent data analysis and decision-making management of substation access control according to claim 5 is characterized in that: The methods for generating safety signals and wearing abnormality signals include: When generating advanced analysis signals, the intersection of the access control system in the substation and the ground is used as the origin, and a spatial coordinate system is established; Then, based on the image information, the position coordinates of the target confirmed person are marked in the spatial coordinate system; According to the wearing position of the on-site safety equipment, the part image of the target confirmation person is identified, and the position coordinates of the corresponding part image in the spatial coordinate system are marked as the equipment placement coordinates; The reader detects the signal strength of the electronic tag and identifies the coordinate position of the electronic tag in the spatial coordinate system based on the KNN algorithm, and marks this coordinate position as the scene actual coordinate; The equipment coordinates of the on-site safety equipment are matched with the corresponding scene actual coordinates. If the equipment coordinates of the on-site safety equipment are consistent with the scene actual coordinates, a safety signal is generated. Conversely, if the equipment coordinates of the on-site safety equipment are inconsistent with the scene actual coordinates, a wearing abnormality signal is generated and transmitted to the decision-making and warning module.

7. The integrated platform for intelligent data analysis and decision-making management of substation access control according to claim 1 is characterized in that: It also includes a decision-making and early warning module; The decision-making and warning module is used to receive warning signals and generate corresponding sound and light reminder information based on the warning signals. The warning signals include interaction termination signals, first-level threat signals and wearing abnormality signals.

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