An artificial intelligence barrier system for communication transmission wiring system

Abstract

The present invention discloses an artificial intelligence barrier for communication transmission wiring system. In order to realize the intelligence of communication wiring, the current popular solution for transforming the traditional wiring frame is to install an electronic tag chip for each pair of plugs and sockets. Although the purpose is achieved, it cannot be promoted due to the high construction and maintenance costs. Based on the artificial intelligence barrier proposed in this patent for intelligent communication wiring, only a camera needs to be installed, and no changes need to be made to the existing wiring frame of the operator, which reduces the cost and maintenance. Its wiring facilities effectively prevent illegal operation of the wiring frame, and the technical effect reaches the wiring frame equipped with electronic tags.

Description

Technical Field

[0001] Communications, Internet of Things, artificial intelligence, and electronic technology. Background Art

[0002] The communication transmission patch panel is an important equipment that is the gateway between cables and equipment. However, the first generation of patch panels, that is, traditional patch panels, have no monitoring capabilities. Therefore, anyone can operate the patch panel without a work order to operate the patch panel, cancel and establish connections, and after the operation, the newly established connection or the canceled existing connection will not be logged into the database. After years of operation of the communication enterprise, the actual connection status of the wiring system is increasingly different from the data stored in the enterprise wiring database. In this way, the enterprise cannot accurately manage the communication transmission resources, and a large number of transmission resources with unknown directions are idle.

[0003] The technical measures to implement intelligent and accurate management of communication transmission wiring systems are to make wiring facilities intelligent. First, the consistency between the transmission resource database and the actual network must be guaranteed. To this end, it is required that the operation of the wiring rack is carried out under the premise of complying with the work order, and the issuance of the business work order is related to the database. Intelligent means are used to discover illegal operations without work orders and not in accordance with the work order requirements.

[0004] The current second-generation wiring equipment is to install an electronic tag chip on each plug and socket. The original design intention is that the plug-in and pull-out operation will cause the electronic chip to be disconnected, so as to further detect the details of the operation, such as whether there is a work order. The product proves that the original design intention can be realized, illegal operations will be discovered by the system in time, and the wiring is intelligent in technology.

[0005] However, the electronic tags added to each plug and socket must be installed manually, and the electronic circuit supporting the electronic tags must be added to the patch panel, which not only generates material costs but also a large workload; there is a high risk of disconnection of the communication network due to carelessness in the operation of each plug and socket during the opening of the service. These problems restrict the progress of intelligent wiring facilities, resulting in the poor promotion of intelligent wiring technology in the operation industry despite the fact that it has been proposed for many years.

[0006] This patent proposes a new generation of wiring equipment, which uses uninterrupted camera monitoring and intelligent analysis of captured data to form an artificial intelligence barrier. During the initial construction of the wiring system, every connection in the system is completely consistent with the records in the database. After completion, uninterrupted monitoring with cameras eliminates unordered operations, and the database is always completely consistent with the actual connection. After the implementation of this patent, the same effect as adding electronic tags to each plug and socket is achieved. Its advantages in maintenance, installation, material costs, etc. make it more valuable for promotion than electronic tag wiring facilities.

[0007] This patent defines an AI Screen in front of a patch panel. The AI ​​Screen is located outside the optical or electrical patch panel. All management work is done by training, learning, computing, storing, accumulating data, patterning, and comparing patterns through AI Screen management software to make status judgments. With the help of learning and the increase in the amount of data accumulated, the accuracy of judgments will become higher and higher, and more and more items can be judged. AI Screen technology is based on wiring facilities that have the same level of intelligence as those using electronic tags.

[0008] Artificial intelligence barrier technology has the potential to be further expanded to new application scenarios, including intruder identification, precise operation location, workpiece or object displacement monitoring, and more scenarios and industries.

[0009] After forming a system, the AI ​​barrier becomes an AI platform. The achievements of AI technology and various advanced and applicable algorithms can be continuously added. The fuzzy boundary clarification algorithm based on fractional differential operation is adopted to achieve accurate judgment without increasing the performance requirements of hardware such as cameras. Summary of the invention

[0010] All facial information collected in this application is carried out in compliance with the relevant data protection laws and policies of the country where it is located, and with the authorization of the owner of the corresponding device.

[0011] The present invention proposes an artificial intelligence barrier system for a communication transmission wiring system, which is characterized by comprising a system composed of software and hardware including artificial intelligence barrier system management software, a camera, a wiring rack manager (205), an intelligent management terminal (204), an intelligent ODN facility (203), and an intelligent ODN management system (202), and manages the communication transmission wiring outside the panel of the optical or electrical wiring rack;

[0012] The outside of the patch panel is divided into three parts: protection zone, transition zone and non-protection zone. The monitoring range of the artificial intelligence barrier system completely occupies the transition zone;

[0013] The camera captures events occurring within the defined size and position of the artificial intelligence barrier system monitoring range, and incorporates the digitized data into the artificial intelligence barrier system management software, so that the artificial intelligence barrier system monitoring range is mapped to the artificial intelligence barrier system management software;

[0014] The communication transmission wiring system is managed through the operation of the artificial intelligence barrier system management software, including judging whether the patch panel is operated in accordance with the requirements of the management work order, whether the person specified in the work order is assigned, whether the person is at the designated operation location, judging whether any object in front of the patch panel has passed through the monitoring range of the artificial intelligence barrier system, and judging whether someone is operating the panel of the patch panel;

[0015] The AI ​​barrier system management software determines the location of new operations on the panel based on panel graphics captured at different times, including changes in the status of empty sockets;

[0016] As an engineering technical measure, the AI ​​barrier system management software is used for the initial coordination of the camera and the AI ​​barrier system management software and the installation, adjustment and fixation of the camera. The method includes developing a series of installation frame graphics and presetting them in the AI ​​barrier system management software. The installer adjusts the camera posture so that the frame graphics coincide with the actual captured graphics, and the initialization is completed;

[0017] Supported by the AI ​​barrier system, the AI ​​barrier system management software has the ability to train, learn and filter patterned graphics, and has the ability to judge whether the socket is empty or plugged in;

[0018] The AI ​​barrier system management software is designed to be open so that multiple algorithms can be added during development and operation, including a pattern resolution algorithm based on fractional differentials;

[0019] The communication transmission wiring management system based on the artificial intelligence barrier system supports the operation of the artificial intelligence barrier system management software.

[0020] The artificial intelligence barrier system of the communication transmission wiring system is characterized in that the components of the artificial intelligence barrier system of the communication transmission wiring system include:

[0021] The intelligent ODN management system (202) manages all the distribution frames of each transmission node of an operator, and the management function includes learning graphic data or facial feature data, generating and storing graphic patterns, and the operating environment includes running on a computer or running in an enterprise cloud environment, and is connected to the intelligent ODN facility and the intelligent management terminal through I3 and I4 interfaces respectively, and is managed by the enterprise's OSS through I5 interface;

[0022] The intelligent ODN facility (203) manages all the patch panels of a node, aggregates the data of each patch panel manager, has at least the function of analyzing graphic patterns and facial feature data, and is connected to the patch panel manager via wire or wireless using an I1 interface;

[0023] A patch panel manager (205) manages at least one communication transmission patch panel (208), wherein a patch panel manager comprises at least one camera and a fixing device thereof, and a set of corresponding electronic circuits, and the recognition function comprises a face recognition function;

[0024] The intelligent management terminal (204) receives and displays instructions, including receiving and displaying work orders, supports the interaction between the operator and the system, can move with the operator, and has at least communication, graphic scanning and corresponding data processing functions.

[0025] The data communication network connects the above parts, including the use of the enterprise's data communication system, WiFi, NB-IoT, and both wired and wireless connections.

[0026] The artificial intelligence barrier system of the communication transmission wiring system is characterized in that the monitoring range of the artificial intelligence barrier system is mapped to the artificial intelligence barrier system management software, including:

[0027] Assume that in a three-dimensional rectangular coordinate system, the Y direction is a direction perpendicular to the ground, the Z direction is a direction parallel to the ground and perpendicular to the patch panel, and the X direction is a direction parallel to the ground and parallel to the patch panel;

[0028] The monitoring range of the artificial intelligence barrier system is a rectangular parallelepiped, which is also called the transition zone. It has a fixed length in the vertical direction Y, i.e., the size 1 (108) of the monitoring range of the artificial intelligence barrier system in the Y direction, a fixed width in the horizontal direction X, and a fixed thickness in the horizontal direction Z, i.e., the size t (106) of the transition zone in the Z direction. The position and size of the monitoring range of the artificial intelligence barrier system are set before operation.

[0029] Factors that determine the height above the ground and the fixed width in the horizontal direction X of the monitoring range of the artificial intelligence barrier system include the number of patch panels under the jurisdiction of one camera;

[0030] The camera position is fixed by means of the camera fixing device of the patch panel manager, and the operation surface of the patch panel and the front thereof are photographed, and the photographed graphics are placed into a dot matrix of a rectangular coordinate system.

[0031] In the artificial intelligence barrier system management software, the points at the edge of the artificial intelligence barrier are connected into lines to enclose a cuboid, forming the artificial intelligence barrier system monitoring range in the artificial intelligence barrier system management software;

[0032] The area between the monitoring range of the artificial intelligence barrier system and the patch panel is called the protection zone, and the size of the protection zone in the Z direction, p(107), is the fixed distance between the monitoring range of the artificial intelligence barrier system and the patch panel in the Z direction;

[0033] The area outside the patch panel that does not belong to the protection zone and transition zone is called the non-protection zone;

[0034] In cooperation with the artificial intelligence barrier system management software and the patch panel manager (205), the artificial intelligence barrier system can sense whether an object is in the non-protected area in front of it, enters its transition area, or crosses its transition area to enter the protected area.

[0035] The artificial intelligence barrier system of the communication transmission wiring system is characterized in that the determination of whether to operate the wiring rack according to the management work order requirements includes:

[0036] An authorized manager uses the intelligent management terminal (204) of the intelligent ODN management system (202) to ensure that only people holding transmission wiring work orders are allowed to operate the wiring rack;

[0037] A camera of the patch panel manager captures the QR code or other characteristic information on the screen of the intelligent management terminal (204) to determine whether the operator holds a matching work order, and the same capture is performed again when the operator leaves. During the operation, the operator is responsible for the operation of himself and others on the patch panel;

[0038] In order to determine whether the operation required by the work order has been performed on the designated patch panel, the intelligent management terminal (204) may scan or take a video of the QR code and other feature marks of the patch panel and transmit the video back to the intelligent ODN facility (203), or the system may make a judgment based on the location of the patch panel manager (205) that has obtained the video.

[0039] The artificial intelligence barrier system of a communication transmission wiring system is characterized in that the judgment of whether to operate the wiring rack according to the management work order requirements is:

[0040] An authorized manager sends a work order from the intelligent ODN management system (202) to the intelligent management terminal (204), and the facial feature data of the person specified in the work order has been stored in the system before the operation, so that the work order is received by the designated operator, and only the person holding the transmission wiring work order is allowed to operate the wiring rack;

[0041] A camera in the patch panel manager takes a picture of the operator. The system extracts the facial feature data and compares it with the stored facial feature data to determine whether the operator holds a matching work order. During the operation, the operator is responsible for the operation of himself and others on the patch panel. When leaving, the operator logs out of the system.

[0042] The system determines whether the operation required by the work order has been performed in the designated patch panel according to the position of the patch panel manager (205) obtained by the camera;

[0043] If a work order is issued but it is found that the person who performs the operation is not the person specified in the work order, the verification measures taken include increasing the strictness of the system to verify whether the operation complies with the requirements of the work order.

[0044] The artificial intelligence barrier system of the communication transmission wiring system is characterized in that the judgment of whether any object in front of the wiring rack panel passes through the monitoring range of the artificial intelligence barrier system and whether someone is operating the panel of the wiring rack includes:

[0045] If at least a part of the image captured by any object falls into the protected area defined by the artificial intelligence barrier system, the object is judged to have entered the protected area, and then it is judged whether to perform wiring operation, and the part where the operation occurs on the wiring rack panel is detected;

[0046] There is a data record of the process in which the object to be judged passes through the transition zone from the non-protected zone to the protected zone before the time of judgment, and there is no subsequent retreat, so as to judge that the object enters the protected zone;

[0047] The object is judged to have entered the protection zone, and the time it stays in the protection zone exceeds the average time required for the optical plug to be plugged in or unplugged once, thereby judging that the optical plug has been plugged in or unplugged;

[0048] For each standardized optical plug, a camera is fixed in position and posture. The images captured in the transition zone and non-protected zone are learned by the artificial intelligence barrier system management software. The resulting large amount of data is filtered to form a comparison benchmark image for each standardized optical plug.

[0049] If the similarity between the pattern captured by at least one camera in the transition zone and the non-protection zone and the reference pattern of the same type of optical plug exceeds a set value, it can be determined that the optical plug has been plugged in or out;

[0050] Judging whether the optical plug is pulled out or inserted from the order in which the optical plug graphics move in the Z direction;

[0051] Determine the part of the patch panel where the operation is to be performed based on the values ​​of the captured graphics in the Y and X directions;

[0052] When it is determined that a person or object has entered the protected area and no optical plug is found to have entered the protected area, the artificial intelligence barrier system management software determines that the person or objects entering the management range of the artificial intelligence barrier system are people or non-people, based on the human body's characteristic data, the operator's face and records; the basis for determining which person or people it is includes the data recorded by the access control (206) of the wiring room.

[0053] The artificial intelligence barrier system of the communication transmission wiring system is characterized by InPossess the ability to determine whether a socket is empty or plugged in, including:

[0054] The intelligent ODN management system (202) forms a reference image of an empty socket and a socket with a plug inserted through training and learning, and for the devices distributed in the system, the devices form a scheme for judging whether the socket is empty or plugged in based on the reference image;

[0055] The scheme includes: the intelligent ODN management system (202) sends the reference image to the intelligent ODN facility (203), which uses the reference image as a comparison basis to determine the actual occupancy status of each socket; the socket occupancy status on a panel of a patch panel or a part thereof transmitted from the patch panel manager (205) is encoded and stored, and thereafter, the change in the occupancy status is found by comparing the images taken twice in succession;

[0056] The application of the judgment conclusion obtained after the execution of the plan includes, after determining that the person entering the protection zone is a person, as one of the criteria for judging the operations performed on the patch panel, or as one of the criteria for verifying whether the patch panel operation meets the requirements of the work order.

[0057] The artificial intelligence barrier system of a communication transmission wiring system is characterized in that the artificial intelligence barrier system management software supported by the artificial intelligence barrier system has the training, learning and screening capabilities of patterned graphics, including:

[0058] The training environment corresponds to different actual situations, including different installation positions and postures of the camera, and the configuration of one camera controlling multiple patch panels, and the graphics captured are related to which patch panel the object is in front of;

[0059] Training is for standardized plugs and objects that often appear around the patch panel; storing reference graphics, including setting a reference graphics library in the software of the intelligent ODN management system (202);

[0060] The reference graphics need to be patterned, including patterning the graphics taken under various typical conditions to form reference graphics and placing them into the reference graphics library when developing the artificial intelligence barrier system management software;

[0061] The algorithm for optimizing the accuracy of the reference pattern includes identifying the edges of the pattern using a fractional differentiation algorithm;

[0062] The modeled reference graph is distributed to the intelligent ODN facilities (203) of each node at runtime;

[0063] During operation, the actual graphics captured by the camera of the patch panel manager are uploaded to the intelligent ODN facility (203), features are extracted, the features in advance are compared with the features of the patterned graphics, and it is determined whether they are consistent with the reference graphics, and a judgment report is made;

[0064] When the intelligent ODN facility (203) compares the extracted features with the reference graphics and finds that they are similar but do not reach the degree of similarity required to be judged as the same graphics, the subsequent processing plan includes uploading to the intelligent ODN management system (202), and the latter's processing plan includes storing it, learning and summarizing new patterned graphics from a large amount of data formed by the graphic feature data transmitted from each intelligent ODN facility, placing it in the reference graphic library and distributing it.

[0065] The artificial intelligence barrier system of the communication transmission wiring system is characterized in that the artificial intelligence barrier system management software adopts a graphic resolution based on fractional differential, including

[0066] When the edges of various graphics are blurred and it is impossible to determine whether they have entered the protection zone, or when there are too few points in the graphics at the intersection of the plug and the socket to determine whether the socket is plugged in or empty, or when the graphics captured in the transition zone and the protection zone and the standardized plug pattern graphics cannot be determined due to insufficient graphic points, the fractional differential method is used to enhance the processing of the points at the edge before making a judgment;

[0067] If you still cannot reach a conclusion, readjust the order of the fractional differential and repeat the judgment;

[0068] After successively adjusting the differential order and readjusting to a limited extent, the calculation is terminated and a report is made.

[0069] The artificial intelligence barrier system of a communication transmission wiring system is characterized by the initial coordination of the camera and the artificial intelligence barrier system management software and the installation, adjustment and fixation of the camera,

[0070] The method for the artificial intelligence barrier system management software to generate the installation frame graphics includes one or more of the graphics corresponding to the camera position and angle fixed, the graphics captured under the condition of the patch panel being in a specific position in the camera window, a batch of patterned graphics accumulated through learning and data accumulation, including the patterned quadrilateral graphics of the edge of the patch panel, the graphics of the components with characteristic significance on the patch panel, and the graphics of the additional markings added to the patch panel;

[0071] During the installation of each camera, the system sends the graphics actually captured by the camera and the installation framework graphics to the intelligent management terminal at the same time. The installer adjusts the posture of the camera so that the two graphics overlap.

[0072] Technical effect: As an implementation example of the widely adopted artificial intelligence barrier system technology, compared with the existing intelligent solution of distribution frames equipped with electronic tag boards, the effect of artificial intelligence barriers used for optical and electrical distribution facilities is that the installation workload is greatly reduced and the cost is greatly reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 The AI ​​barrier from the side of the patch panel

[0074] This figure is an engineering drawing, showing a side view. In the three-dimensional rectangular coordinates of the figure: looking from the -Z direction, you can see the panel of the patch panel, and looking from the -X direction, you can see the side of the patch panel. The figure shows two rows of patch panels, that is, the side of the two patch panels in front and behind. The artificial intelligence barrier in the transition zone is outside the Z direction of each patch panel, and the adjacent areas are protected areas and non-protected areas. In the figure:

[0075] 101 Side view of the artificial intelligence barrier 102 Non-protected area range viewed from the side 103 Transition zone range viewed from the side 104 Protected area range viewed from the side 105 Patch panel viewed from the side 106 Dimension t of the transition zone in the Z direction 107 Dimension p of the protection zone in the Z direction 108 Dimension 1 of the monitoring range of the artificial intelligence barrier system in the Y direction.

[0076] Figure 2 It is a communication transmission wiring management system and its software interface based on artificial intelligence barrier

[0077] 201 OSS 202 Intelligent ODN management system 203 Intelligent ODN facility 204 Intelligent management terminal 205 Patch panel manager 206 Access control of patch panel room 207 Communication transmission patch panels installed in a row 208 Communication transmission patch panels 209 Transmission patch panel room.

[0078] The above OSS is the operation support system. ODN is the optical distribution network, the main element of which is the distribution frame. The definition of each I interface is consistent with China's telecommunications standards. DETAILED DESCRIPTION

[0079] The present invention is further described below by giving a specific embodiment in conjunction with the accompanying drawings. The examples are provided to further illustrate the technology for easier understanding. It should be understood that the examples herein are not intended to limit the present invention in any way. Some well-known parts are not listed in the figures in order to highlight the parts that need to be explained, but do not constitute a limitation of the present invention.

[0080] First, we introduce a usage scenario of the artificial intelligence barrier in a communication transmission wiring system.

[0081] Transmission distribution frames include optical distribution frames, electrical distribution frames, and hybrid distribution frames that can simultaneously distribute optical and electrical signals. This patent can be applied to each of them. Each distribution frame has a panel on which the transmission lines are manually plugged. The distribution frames of communication operating units are installed side by side, and there is an aisle between each row and the other rows in front and behind. In the aisle, there are people who operate the distribution frame panels, as well as mobile people or machines.

[0082] From the hardware point of view, the use of this patent only requires the installation of cameras in each communication transmission distribution frame to realize the intelligence of the distribution frame, achieving the currently used intelligent effect of adding electronic tags to each socket.

[0083] The following combination Figure 1 , the positional relationship between the patch panel (105) and the artificial intelligence barrier is viewed from the side. Figure 1 Its left side is the panel surface.

[0084] Installed outside the panel of the optical or electrical distribution frame Figure 1 In the three-dimensional rectangular coordinate system, the Y direction is perpendicular to the ground, and the Z direction is parallel to the ground and perpendicular to the patch panel. An artificial intelligence barrier is defined by advancing a length p from the panel along the Z direction. A side view (101) of the artificial intelligence barrier is shown in Figure 1 The area between the AI ​​barrier and the panel is a protected area. Figure 1 , the size of the protection zone in the Z direction is p(107), for example, p = 40 mm. The protection zone is occupied by the patch cord on the patch panel. Figure 1 The protected area (104) is shown as seen from the side.

[0085] The cuboid that forms the AI ​​barrier is called the transition zone, e.g. Figure 1 The transition zone range (103) is viewed from the side. The transition zone has a dimension t (106) in the Z direction and a dimension 1 (108) of the monitoring range of the artificial intelligence barrier system in the Y direction.

[0086] Further ahead is the non-protected area. Figure 1 , looking at the non-protected area from the side (102).

[0087] The overall composition of the artificial intelligence barrier of the communication transmission distribution frame:

[0088] The present invention proposes an artificial intelligence barrier system for a communication transmission wiring system, which is characterized by comprising a system composed of software and hardware including artificial intelligence barrier system management software, a camera, a wiring rack manager (205), an intelligent management terminal (204), an intelligent ODN facility (203), and an intelligent ODN management system (202), and manages the communication transmission wiring outside the panel of the optical or electrical wiring rack;

[0089] The panel outside the patch panel is divided into three parts: protection zone, transition zone and non-protection zone. system The monitoring range completely occupies the transition zone;

[0090] The camera captures events occurring within the defined size and position of the artificial intelligence barrier system monitoring range, and incorporates the digitized data into the artificial intelligence barrier system management software, so that the artificial intelligence barrier system monitoring range is mapped to the artificial intelligence barrier system management software;

[0091] The communication transmission wiring system is managed through the operation of the artificial intelligence barrier system management software, including judging whether the patch panel is operated in accordance with the requirements of the management work order, whether the person specified in the work order is assigned, whether the person is at the designated operation location, judging whether any object in front of the patch panel has passed through the monitoring range of the artificial intelligence barrier system, and judging whether someone is operating the panel of the patch panel;

[0092] The AI ​​barrier system management software determines the location of new operations on the panel based on panel graphics captured at different times, including changes in the status of empty sockets;

[0093] As an engineering technical measure, the AI ​​barrier system management software is used for the initial coordination of the camera and the AI ​​barrier system management software and the installation, adjustment and fixation of the camera. The method includes developing a series of installation frame graphics and presetting them in the AI ​​barrier system management software. The installer adjusts the camera posture so that the frame graphics coincide with the actual captured graphics, and the initialization is completed;

[0094] Supported by the AI ​​barrier system, the AI ​​barrier system management software has the ability to train, learn and filter patterned graphics, and has the ability to judge whether the socket is empty or plugged in;

[0095] The AI ​​barrier system management software is designed to be open so that multiple algorithms can be added during development and operation, including a pattern resolution algorithm based on fractional differentials;

[0096] The communication transmission wiring management system based on the artificial intelligence barrier system supports the operation of the artificial intelligence barrier system management software.

[0097] Combination Figure 2 , an integral part of the communication transmission wiring management system based on artificial intelligence barrier.

[0098] The functions designed by this patent are implemented according to the actual layering of the network. The layer division method adopted by this patent is consistent with the standardized regulations of the communication network. This patent describes the operation support system OSS (201) affiliated to the communication management department, and the I interface is also unified. This is the communication network layer. The next layer is the communication transmission network. The scenario adapted by this patent is completely consistent with the actual situation. In the actual transmission wiring room (209), the communication transmission distribution frame (208) is installed in a row of communication transmission distribution frame groups (207). In view of the actual scenario of the transmission network, the design scheme of the intelligent intelligent management terminal (204) adopts a movable and communicative terminal design scheme.

[0099] The application of this patent is not limited to the use in the machine room, but also includes the use outside the machine room, such as base stations, manholes, and monitoring and alarming of important outdoor facilities. The described layering method, design scheme, and application scope are only an embodiment and do not mean to constitute any limitation on the application and implementation of this patent.

[0100] The artificial intelligence barrier system of the communication transmission wiring system is characterized in that the components of the artificial intelligence barrier system of the communication transmission wiring system include:

[0101] The intelligent ODN management system (202) manages all the distribution frames of each transmission node of an operator, and the management function includes learning graphic data or facial feature data, generating and storing graphic patterns, and the operating environment includes running on a computer or running in an enterprise cloud environment, and is connected to the intelligent ODN facility and the intelligent management terminal through I3 and I4 interfaces respectively, and is managed by the enterprise's OSS through I5 interface;

[0102] The intelligent ODN facility (203) manages all the patch panels of a node, aggregates the data of each patch panel manager, has at least the function of analyzing graphic patterns and facial feature data, and is connected to the patch panel manager via wire or wireless using an I1 interface;

[0103] A patch panel manager (205) manages at least one communication transmission patch panel (208), wherein a patch panel manager comprises at least one camera and a fixing device thereof, and a set of corresponding electronic circuits, and the recognition function comprises a face recognition function;

[0104] The intelligent management terminal (204) receives and displays instructions, including receiving and displaying work orders, supports the interaction between the operator and the system, can move with the operator, and has at least communication, graphic scanning and corresponding data processing functions.

[0105] The data communication network connects the above parts, including the use of the enterprise's data communication system, WiFi, NB-IoT, and both wired and wireless connections.

[0106] Location of AI barriers and related functional zoning

[0107] Combination Figure 1 The AI ​​barrier not only occupies the transition area outside the panel, but also has a number of functions that need to be implemented with the help of the AI ​​barrier management software. In order to ensure the accuracy of the software programming, the dimensions related to the AI ​​barrier need to be defined, and the relationship between the rectangular coordinate system of the reference and the patch panel needs to be fixed.

[0108] The artificial intelligence barrier system of the communication transmission wiring system is characterized in that the monitoring range of the artificial intelligence barrier system is mapped to the artificial intelligence barrier system management software, including:

[0109] Assume that in a three-dimensional rectangular coordinate system, the Y direction is a direction perpendicular to the ground, the Z direction is a direction parallel to the ground and perpendicular to the patch panel, and the X direction is a direction parallel to the ground and parallel to the patch panel;

[0110] The monitoring range of the artificial intelligence barrier system is a rectangular parallelepiped, which is also called the transition zone. It has a fixed length in the vertical direction Y, i.e., the size 1 (108) of the monitoring range of the artificial intelligence barrier system in the Y direction, a fixed width in the horizontal direction X, and a fixed thickness in the horizontal direction Z, i.e., the size t (106) of the transition zone in the Z direction. The position and size of the monitoring range of the artificial intelligence barrier system are set before operation.

[0111] Factors that determine the height above the ground and the fixed width in the horizontal direction X of the monitoring range of the artificial intelligence barrier system include the number of patch panels under the jurisdiction of one camera;

[0112] The camera position is fixed by means of the camera fixing device of the patch panel manager, and the operation surface of the patch panel and the front thereof are photographed, and the photographed graphics are placed into a dot matrix of a rectangular coordinate system.

[0113] In the artificial intelligence barrier system management software, the points at the edge of the artificial intelligence barrier are connected into lines to enclose a cuboid, forming the artificial intelligence barrier system monitoring range in the artificial intelligence barrier system management software;

[0114] The area between the monitoring range of the artificial intelligence barrier system and the patch panel is called the protection zone, and the size of the protection zone in the Z direction, p(107), is the fixed distance between the monitoring range of the artificial intelligence barrier system and the patch panel in the Z direction;

[0115] The area outside the patch panel that does not belong to the protection zone and transition zone is called the non-protection zone;

[0116] In cooperation with the artificial intelligence barrier system management software and the patch panel manager (205), the artificial intelligence barrier system can sense whether an object is in the non-protected area in front of it, enters its transition area, or crosses its transition area to enter the protected area.

[0117] Monitoring and management of the execution status of the work order, including one of the implementation methods: based on the intelligent management terminal (204)

[0118] The management function of the intelligent management terminal (204) includes scanning or photographing the QR code and other feature marks of the patch panel. With this function, various software and hardware, including artificial intelligence barrier management software and managers at all levels, are used to determine whether the operation required by the work order has been performed in the specified patch panel. As an embodiment, a QR code is attached to the patch panel rack, which represents the number and other information of the patch panel. As an embodiment, each sub-frame is attached with an indicator light controlled by the patch panel manager (205), and its working status is used to indicate the location where the operation should be performed. The intelligent management terminal captures it and transmits it to the intelligent ODN facility (203) to determine whether the operation is performed at the appropriate location.

[0119] The artificial intelligence barrier system of the communication transmission wiring system is characterized in that the determination of whether to operate the wiring rack according to the management work order requirements includes:

[0120] An authorized manager uses the intelligent management terminal (204) of the intelligent ODN management system (202) to ensure that only people holding transmission wiring work orders are allowed to operate the wiring rack;

[0121] A camera of the patch panel manager captures the QR code or other characteristic information on the screen of the intelligent management terminal (204) to determine whether the operator holds a matching work order, and the same capture is performed again when the operator leaves. During the operation, the operator is responsible for the operation of himself and others on the patch panel;

[0122] In order to determine whether the operation required by the work order has been performed on the designated patch panel, the intelligent management terminal (204) may scan or take a video of the QR code and other feature marks of the patch panel and transmit the video back to the intelligent ODN facility (203), or the system may make a judgment based on the location of the patch panel manager (205) that has obtained the video.

[0123] Monitoring and management of the execution status of work orders includes the second implementation method: based on facial recognition.

[0124] The system stores the facial feature data of legal operators. The facial features of the operator are captured and compared to determine whether there is a work order and whether the person specified in the work order is operating the designated patch panel.

[0125] The artificial intelligence barrier system of a communication transmission wiring system is characterized in that the judgment of whether to operate the wiring rack according to the management work order requirements is:

[0126] An authorized manager sends a work order from the intelligent ODN management system (202) to the intelligent management terminal (204), and the facial feature data of the person specified in the work order has been stored in the system before the operation, so that the work order is received by the designated operator, and only the person holding the transmission wiring work order is allowed to operate the wiring rack;

[0127] A camera in the patch panel manager takes a picture of the operator. The system extracts the facial feature data and compares it with the stored facial feature data to determine whether the operator holds a matching work order. During the operation, the operator is responsible for the operation of himself and others on the patch panel. When leaving, the operator logs out of the system.

[0128] The system determines whether the operation required by the work order has been performed in the designated patch panel according to the position of the patch panel manager (205) obtained by the camera;

[0129] If a work order is issued but it is found that the person who performs the operation is not the person specified in the work order, the verification measures taken include increasing the strictness of the system to verify whether the operation complies with the requirements of the work order.

[0130] If it is determined that a person without a work order has performed an operation, further determine what operation the person has performed:

[0131] To monitor whether the patch panel has been operated, first determine whether the object has entered the protection zone close to the patch panel operation surface. If it is determined that the object has entered the protection zone, determine whether the patch panel has been operated. If it is determined that the operation has been performed, then detect the location information such as the patch panel number and sub-rack number where the operation was performed.

[0132] The plan considers countermeasures for the non-ideal situations existing on site: First, the monitoring and management of the execution status of the dispatch order results in too much data collection due to the variety of actual situations. The implementation method is based on collecting only whether each socket is occupied by a plug or empty, which greatly reduces the amount of learning and makes the graphics easy to be patterned. Second, some jumpers block the sockets. The implementation method is to only judge whether the sockets are empty or plugged in, which can reduce the amount of learning to a certain extent. Third, the implementation is to determine the operation at which location only after it has been determined that the protected area has been entered and a person has entered.

[0133] The implemented solution includes that the intelligent ODN management system (202) forms a reference pattern of empty sockets and sockets with plugs inserted through training and learning and distributes it to the intelligent ODN facility (203), which encodes and stores the socket occupancy status on a panel of a patch panel or a part thereof transmitted from the patch panel manager (205), and then finds the change of occupancy status through comparison. After making a judgment that it is a person who enters the protected area, the change of occupancy status is used as one of the criteria for judging the operation performed on the patch panel, and also as one of the criteria for checking whether the patch panel operation meets the requirements of the work order.

[0134] The artificial intelligence barrier system of the communication transmission wiring system is characterized in that the judgment of whether any object in front of the wiring rack panel passes through the monitoring range of the artificial intelligence barrier system and whether someone is operating the panel of the wiring rack includes:

[0135] If at least a part of the image captured by any object falls into the protected area defined by the artificial intelligence barrier system, the object is judged to have entered the protected area, and then it is judged whether to perform wiring operation, and the part where the operation occurs on the wiring rack panel is detected;

[0136] There is a data record of the process in which the object to be judged passes through the transition zone from the non-protected zone to the protected zone before the time of judgment, and there is no subsequent retreat, so as to judge that the object enters the protected zone;

[0137] The object is judged to have entered the protection zone, and the time it stays in the protection zone exceeds the average time required for the optical plug to be plugged in or unplugged once, thereby judging that the optical plug has been plugged in or unplugged;

[0138] For each standardized optical plug, a camera is fixed in position and posture. The images captured in the transition zone and non-protected zone are learned by the artificial intelligence barrier system management software. The resulting large amount of data is filtered to form a comparison benchmark image for each standardized optical plug.

[0139] If the similarity between the pattern captured by at least one camera in the transition zone and the non-protection zone and the reference pattern of the same type of optical plug exceeds a set value, it can be determined that the optical plug has been plugged in or out;

[0140] Judging whether the optical plug is pulled out or inserted from the order in which the optical plug graphics move in the Z direction;

[0141] Determine the part of the patch panel where the operation is to be performed based on the values ​​of the captured graphics in the Y and X directions;

[0142] When it is determined that a person or object has entered the protected area and no optical plug is found to have entered the protected area, the artificial intelligence barrier system management software determines that the person or objects entering the management range of the artificial intelligence barrier system are people or non-people, based on the human body's characteristic data, the operator's face and records; the basis for determining which person or people it is includes the data recorded by the access control (206) of the wiring room.

[0143] Furthermore, the scheme for determining whether a socket is empty or plugged in includes analyzing and comparing the patterns found at different times for the same socket.

[0144] The artificial intelligence barrier system of the communication transmission wiring system is characterized by In Possess the ability to determine whether a socket is empty or plugged in, including:

[0145] The intelligent ODN management system (202) forms a reference image of an empty socket and a socket with a plug inserted through training and learning, and for the devices distributed in the system, the devices form a scheme for judging whether the socket is empty or plugged in based on the reference image;

[0146] The scheme includes: the intelligent ODN management system (202) sends the reference image to the intelligent ODN facility (203), which uses the reference image as a comparison basis to determine the actual occupancy status of each socket; the socket occupancy status on a panel of a patch panel or a part thereof transmitted from the patch panel manager (205) is encoded and stored, and thereafter, the change in the occupancy status is found by comparing the images taken twice in succession;

[0147] The application of the judgment conclusion obtained after the execution of the plan includes, after determining that the person entering the protection zone is a person, as one of the criteria for judging the operations performed on the patch panel, or as one of the criteria for verifying whether the patch panel operation meets the requirements of the work order.

[0148] The process of forming a reference graph and transferring it through training and learning includes:

[0149] The artificial intelligence barrier system of a communication transmission wiring system is characterized in that the artificial intelligence barrier system management software supported by the artificial intelligence barrier system has the training, learning and screening capabilities of patterned graphics, including:

[0150] The training environment corresponds to different actual situations, including different installation positions and postures of the camera, and the configuration of one camera controlling multiple patch panels, and the graphics captured are related to which patch panel the object is in front of;

[0151] Training is for standardized plugs and objects that often appear around the patch panel; storing reference graphics, including setting a reference graphics library in the software of the intelligent ODN management system (202);

[0152] The reference graphics need to be patterned, including patterning the graphics taken under various typical conditions to form reference graphics and placing them into the reference graphics library when developing the artificial intelligence barrier system management software;

[0153] The algorithm for optimizing the accuracy of the reference pattern includes identifying the edges of the pattern using a fractional differentiation algorithm;

[0154] The modeled reference graph is distributed to the intelligent ODN facilities (203) of each node at runtime;

[0155] During operation, the actual graphics captured by the camera of the patch panel manager are uploaded to the intelligent ODN facility (203), features are extracted, the features in advance are compared with the features of the patterned graphics, and it is determined whether they are consistent with the reference graphics, and a judgment report is made;

[0156] When the intelligent ODN facility (203) compares the extracted features with the reference graphics and finds that they are similar but do not reach the degree of similarity required to be judged as the same graphics, the subsequent processing plan includes uploading to the intelligent ODN management system (202), and the latter's processing plan includes storing it, learning and summarizing new patterned graphics from a large amount of data formed by the graphic feature data transmitted from each intelligent ODN facility, placing it in the reference graphic library and distributing it.

[0157] Explanation 1: When the open barrier management software uses the fractional differential algorithm, the graphics that fall into the transition zone and the non-protected zone are sometimes similar to the characteristics of the reference graphics to a certain extent, but they do not reach the similarity of being judged as the same graphics. At this time, the graphics are processed using fractional differentials. If the number of points with the characteristics of the standard plug reaches a certain number, the graphics will be included in the modeled reference graphics library.

[0158] Explanation 2: Plugs are standardized and there are not many varieties. After the plug is unplugged from the socket, it has the following characteristics: it must enter or pass through the protection zone, transition zone, and non-protection zone in sequence; it is partially blocked by the hand; the graphics taken after the plug itself is rotated at different angles along its own axis are different; the graphics taken at different camera positions are different. In this way, there may be two possibilities: one is that it is indeed a plug that has been unplugged but is not in the original patterned reference graphics library, and the other is that it is not a plug. Both may need to be identified. If it is a plug graphic, it needs to be stored as a new graphic or wait for storage in the future.

[0159] Platformization and implementation of fractional differentiation algorithms

[0160] The wiring system based on artificial intelligence barrier has formed an artificial intelligence platform. Different algorithms can be introduced to improve the level of intelligence. As an example, this patent cites the use of graphic resolution based on fractional differentials.

[0161] Explanation for adjusting the order of fractional differentials and then repeating the judgment: For example, if the similarity between the graphics captured in the transition zone and the protection zone and the standardized plug is set to 80%, it can be judged as a plug, and if it is less than 60%, it is judged not to be a plug. The similarity between the graphics captured in the transition zone and the protection zone and the standardized plug is actually affected by occlusion, the angle of holding the plug, and the lighting factors, making the similarity close to 80%. The fractional differential method is used to process it. The deeper the order of the fractional differential, the more points can be found in the edge judgment area, but the software operation volume also increases accordingly. Therefore, it can be set, for example, in the case of 60% to 79%, the order needs to be deepened and the order of the fractional differential needs to be readjusted before repeating the judgment. The number of readjustments is limited. The operation is terminated after a limited number of adjustments.

[0162] The artificial intelligence barrier system of the communication transmission wiring system is characterized in that the artificial intelligence barrier management software adopts a graphic resolution based on fractional differential, including

[0163] When the edges of various graphics are blurred and it is impossible to determine whether they have entered the protection zone, or when there are too few points in the graphics at the intersection of the plug and the socket to determine whether the socket is plugged in or empty, or when the graphics captured in the transition zone and the protection zone and the standardized plug pattern graphics cannot be determined due to insufficient graphic points, the fractional differential method is used to enhance the processing of the points at the edge before making a judgment;

[0164] If you still cannot reach a conclusion, readjust the order of the fractional differential and repeat the judgment;

[0165] After successively adjusting the differential order and readjusting to a limited extent, the calculation is terminated and a report is made.

[0166] Install and adjust the camera to bring the system into the same state as the intended state

[0167] When capturing the same state, the images captured by the camera at different positions and different postures are different. The system's modeled reference graphics are obtained and stored under the conditions of a camera position and posture. After installing the camera on site, the camera must first be adjusted to the original conditions of the reference graphics. To achieve this goal, the engineering quick operation solution provided by this patent is based on providing an installation framework graphic, and the installation framework graphic is strictly related to the conditions under which the camera originally captured the reference graphics. The intelligent ODN management system (202) sends the graphics actually captured by the camera and the installation framework graphics to the same terminal device, including the intelligent management terminal (204) at the same time. During installation, the camera is initially installed according to the position indicated by the installation file, and the graphics it captures move and change on the screen as the position and posture of the camera are adjusted. When the graphics are adjusted to fall completely into the frame and overlap with the frame, the camera is fixed by engineering methods. The following is an embodiment based on the installation framework graphics:

[0168] The artificial intelligence barrier system of a communication transmission wiring system is characterized by the initial coordination of the camera and the artificial intelligence barrier system management software and the installation, adjustment and fixation of the camera,

[0169] The method for the artificial intelligence barrier system management software to generate the installation frame graphics includes one or more of the graphics corresponding to the camera position and angle fixed, the graphics captured under the condition of the patch panel being in a specific position in the camera window, a batch of patterned graphics accumulated through learning and data accumulation, including the patterned quadrilateral graphics of the edge of the patch panel, the graphics of the components with characteristic significance on the patch panel, and the graphics of the additional markings added to the patch panel;

[0170] During the installation of each camera, the system sends the graphics actually captured by the camera and the installation framework graphics to the intelligent management terminal at the same time. The installer adjusts the posture of the camera so that the two graphics overlap.

[0171] The above is one of the preferred embodiments of the present invention. Any modification, equivalent substitution and improvement within the principle and spirit of the present invention shall fall within the protection scope of the present invention.

Claims

1. An artificial intelligence barrier system for a communication transmission wiring system, characterized in that The system is composed of software and hardware including artificial intelligence barrier system management software, cameras, a patch panel manager (205), an intelligent management terminal (204), an intelligent ODN facility (203), and an intelligent ODN management system (202), and manages communication transmission wiring outside the panel of an optical or electrical patch panel; The outside of the patch panel is divided into three parts: protection zone, transition zone and non-protection zone. The monitoring range of the artificial intelligence barrier system completely occupies the transition zone; The camera captures events occurring within the defined size and position of the artificial intelligence barrier system monitoring range, and incorporates the digitized data into the artificial intelligence barrier system management software, so that the artificial intelligence barrier system monitoring range is mapped to the artificial intelligence barrier system management software; The communication transmission wiring system is managed through the operation of the artificial intelligence barrier system management software, including judging whether the patch panel is operated in accordance with the requirements of the management work order, whether the person specified in the work order is assigned, whether the person is at the designated operation location, judging whether any object in front of the patch panel has passed through the monitoring range of the artificial intelligence barrier system, and judging whether someone is operating the panel of the patch panel; The AI ​​barrier system management software determines the location of new operations on the panel based on panel graphics captured at different times, including changes in the status of empty sockets; As an engineering technical measure, the AI ​​barrier system management software is used for the initial coordination of the camera and the AI ​​barrier system management software and the installation, adjustment and fixation of the camera. The method includes developing a series of installation frame graphics and presetting them in the AI ​​barrier system management software. The installer adjusts the camera posture so that the frame graphics coincide with the actual captured graphics, and the initialization is completed; Supported by the AI ​​barrier system, the AI ​​barrier system management software has the ability to train, learn and filter patterned graphics, and has the ability to judge whether the socket is empty or plugged in; The AI ​​barrier system management software is designed to be open so that multiple algorithms can be added during development and operation, including a pattern resolution algorithm based on fractional differentials; The communication transmission wiring management system based on the artificial intelligence barrier system supports the operation of the artificial intelligence barrier system management software.

2. The artificial intelligence barrier system for a communication transmission wiring system according to claim 1, characterized in that The components of the artificial intelligence barrier system of the communication transmission wiring system include: The intelligent ODN management system (202) manages all the distribution frames of each transmission node of an operator, and the management function includes learning graphic data or facial feature data, generating and storing graphic patterns, and the operating environment includes running on a computer or running in an enterprise cloud environment, and is connected to the intelligent ODN facility and the intelligent management terminal through I3 and I4 interfaces respectively, and is managed by the enterprise's OSS through I5 interface; The intelligent ODN facility (203) manages all the patch panels of a node, aggregates the data of each patch panel manager, has at least the function of analyzing graphic patterns and facial feature data, and is connected to the patch panel manager via wire or wireless using an I1 interface; A patch panel manager (205) manages at least one communication transmission patch panel (208), wherein a patch panel manager comprises at least one camera and a fixing device thereof, and a set of corresponding electronic circuits, and the recognition function comprises a face recognition function; The intelligent management terminal (204) receives and displays instructions, including receiving and displaying work orders, supports the interaction between the operator and the system, can move with the operator, and has at least communication, graphic scanning and corresponding data processing functions. The data communication network connects the above parts, including the use of the enterprise's data communication system, WiFi, NB-IoT, and both wired and wireless connections.

3. The artificial intelligence barrier system for a communication transmission wiring system according to claim 1, characterized in that The AI ​​barrier system monitoring scope is mapped to the AI ​​barrier system management software, including: Assume that in a three-dimensional rectangular coordinate system, the Y direction is a direction perpendicular to the ground, the Z direction is a direction parallel to the ground and perpendicular to the patch panel, and the X direction is a direction parallel to the ground and parallel to the patch panel; The monitoring range of the artificial intelligence barrier system is a rectangular parallelepiped, which is also called the transition zone. It has a fixed length in the vertical direction Y, i.e., the size 1 (108) of the monitoring range of the artificial intelligence barrier system in the Y direction, a fixed width in the horizontal direction x, and a fixed thickness in the horizontal direction Z, i.e., the size t (106) of the transition zone in the Z direction. The position and size of the monitoring range of the artificial intelligence barrier system are set before operation. Factors that determine the height above the ground and the fixed width in the horizontal direction X of the monitoring range of the artificial intelligence barrier system include the number of patch panels under the jurisdiction of one camera; The camera position is fixed by means of the camera fixing device of the patch panel manager, and the operation surface of the patch panel and the front thereof are photographed, and the photographed graphics are placed into a dot matrix of a rectangular coordinate system. In the artificial intelligence barrier system management software, the points at the edge of the artificial intelligence barrier are connected into lines to form a cuboid, forming the monitoring range of the artificial intelligence barrier system in the artificial intelligence barrier system management software; The area between the monitoring range of the artificial intelligence barrier system and the patch panel is called the protection zone, and the size of the protection zone in the Z direction, p(107), is the fixed distance between the monitoring range of the artificial intelligence barrier system and the patch panel in the Z direction; The area outside the patch panel that does not belong to the protection zone and transition zone is called the non-protection zone; In cooperation with the artificial intelligence barrier system management software and the patch panel manager (205), the artificial intelligence barrier system can sense whether an object is in the non-protected area in front of it, enters its transition area, or crosses its transition area to enter the protected area.

4. The artificial intelligence barrier system for a communication transmission wiring system according to claim 1, characterized in that The determining whether to operate the patch panel according to the management work order requirement includes: An authorized manager uses the intelligent management terminal (204) of the intelligent ODN management system (202) to ensure that only people holding transmission wiring work orders are allowed to operate the wiring rack; A camera of the patch panel manager captures the QR code or other characteristic information on the screen of the intelligent management terminal (204) to determine whether the operator holds a matching work order, and the same capture is performed again when the operator leaves. During the operation, the operator is responsible for the operation of himself and others on the patch panel; In order to determine whether the operation required by the work order has been performed on the designated patch panel, the intelligent management terminal (204) may scan or take a video of the QR code and other feature marks of the patch panel and transmit the video back to the intelligent ODN facility (203), or the system may make a judgment based on the location of the patch panel manager (205) that has obtained the video.

5. The artificial intelligence barrier system for a communication transmission wiring system as claimed in claim 1, characterized in that Determine whether to operate the patch panel according to the management work order requirements: An authorized manager sends a work order from the intelligent ODN management system (202) to the intelligent management terminal (204), and the facial feature data of the person specified in the work order has been stored in the system before the operation, so that the work order is received by the designated operator, and only the person holding the transmission wiring work order is allowed to operate the wiring rack; A camera in the patch panel manager takes a picture of the operator. The system extracts the facial feature data and compares it with the stored facial feature data to determine whether the operator holds a matching work order. During the operation, the operator is responsible for the operation of himself and others on the patch panel. When leaving, the operator logs out of the system. The system determines whether the operation required by the work order has been performed in the designated patch panel according to the position of the patch panel manager (205) obtained by the camera; If a work order is issued but it is found that the person who performs the operation is not the person specified in the work order, the verification measures taken include increasing the strictness of the system to verify whether the operation complies with the requirements of the work order.

6. The artificial intelligence barrier system for a communication transmission wiring system as claimed in claim 1, characterized in that The judgment of whether any object in front of the patch panel has passed through the monitoring range of the artificial intelligence barrier system and whether someone is operating the patch panel includes: If at least a part of the image captured by any object falls into the protected area defined by the artificial intelligence barrier system, the object is judged to have entered the protected area, and then it is judged whether to perform wiring operation, and the part where the operation occurs on the wiring rack panel is detected; There is a data record of the process in which the object to be judged passes through the transition zone from the non-protected zone to the protected zone before the time of judgment, and there is no subsequent retreat, so as to judge that the object enters the protected zone; The object is judged to have entered the protection zone, and the time it stays in the protection zone exceeds the average time required for the optical plug to be plugged in or unplugged once, thereby judging that the optical plug has been plugged in or unplugged; For each standardized optical plug, a camera is fixed in position and posture. The images captured in the transition zone and non-protected zone are learned by the artificial intelligence barrier system management software. The resulting large amount of data is filtered to form a comparison benchmark image for each standardized optical plug. If the similarity between the pattern captured by at least one camera in the transition zone and the non-protection zone and the reference pattern of the same type of optical plug exceeds a set value, it can be determined that the optical plug has been plugged in or out; Judging whether the optical plug is pulled out or inserted from the order in which the optical plug graphics move in the Z direction; Determine the part of the patch panel where the operation is to be performed based on the values ​​of the captured graphics in the Y and X directions; When it is determined that a person or object has entered the protected area and no optical plug is found to have entered the protected area, the artificial intelligence barrier system management software determines that the person or objects entering the management range of the artificial intelligence barrier system are people or non-people, based on the human body's characteristic data, the operator's face and records; the basis for determining which person or people it is includes the data recorded by the access control (206) of the wiring room.

7. An artificial intelligence barrier system for a communication transmission wiring system as claimed in claim 1, characterized in that > The ability to judge whether a socket is empty or plugged in includes: ​ The intelligent ODN management system (202) forms a reference image of an empty socket and a socket with a plug inserted through training and learning, and for the devices distributed in the system, the devices form a scheme for judging whether the socket is empty or plugged in based on the reference image; The scheme includes: the intelligent ODN management system (202) sends the reference image to the intelligent ODN facility (203), which uses the reference image as a comparison basis to determine the actual occupancy status of each socket; the socket occupancy status on a panel of a patch panel or a part thereof transmitted from the patch panel manager (205) is encoded and stored, and thereafter, the change in the occupancy status is found by comparing the images taken twice in succession; The application of the judgment conclusion obtained after the execution of the plan includes, after determining that the person entering the protection zone is a person, as one of the criteria for judging the operations performed on the patch panel, or as one of the criteria for verifying whether the patch panel operation meets the requirements of the work order.

8. The artificial intelligence barrier system for a communication transmission wiring system as claimed in claim 1, characterized in that The artificial intelligence barrier system management software supported by the artificial intelligence barrier system has the training, learning and screening capabilities of patterned graphics including: The training environment corresponds to different actual situations, including different installation positions and postures of the camera, and the configuration of one camera controlling multiple patch panels, and the graphics captured are related to which patch panel the object is in front of; Training is for standardized plugs and objects that often appear around the patch panel; storing reference graphics, including setting a reference graphics library in the software of the intelligent ODN management system (202); The reference graphics need to be patterned, including patterning the graphics taken under various typical conditions to form reference graphics and placing them into the reference graphics library when developing the artificial intelligence barrier system management software; The algorithm for optimizing the accuracy of the reference pattern includes identifying the edges of the pattern using a fractional differentiation algorithm; The modeled reference graph is distributed to the intelligent ODN facilities (203) of each node at runtime; During operation, the actual graphics captured by the camera of the patch panel manager are uploaded to the intelligent ODN facility (203), features are extracted, the features in advance are compared with the features of the patterned graphics, and it is determined whether they are consistent with the reference graphics, and a judgment report is made; When the intelligent ODN facility (203) compares the extracted features with the reference graphics and finds that they are similar but do not reach the degree of similarity required to be judged as the same graphics, the subsequent processing plan includes uploading to the intelligent ODN management system (202), and the latter's processing plan includes storing it, learning and summarizing new patterned graphics from a large amount of data formed by the graphic feature data transmitted from each intelligent ODN facility, placing it in the reference graphic library and distributing it.

9. The artificial intelligence barrier system for a communication transmission wiring system as claimed in claim 1, characterized in that The AI ​​barrier system management software uses fractional differential-based graphic resolution, including When the edges of various graphics are blurred and it is impossible to determine whether they have entered the protection zone, or when there are too few points in the graphics at the intersection of the plug and the socket to determine whether the socket is plugged in or empty, or when the graphics captured in the transition zone and the protection zone and the standardized plug pattern graphics cannot be determined due to insufficient graphic points, the fractional differential method is used to enhance the processing of the points at the edge before making a judgment; If you still cannot reach a conclusion, readjust the order of the fractional differential and repeat the judgment; After successively adjusting the differential order and readjusting to a limited extent, the calculation is terminated and a report is made.

10. The artificial intelligence barrier system for a communication transmission wiring system according to claim 1, characterized in that Initial coordination of the camera and the AI ​​barrier system management software and installation, adjustment and fixing of the camera, The method for the artificial intelligence barrier system management software to generate the installation frame graphics includes one or more of the graphics corresponding to the camera position and angle fixed, the graphics captured under the condition of the patch panel being in a specific position in the camera window, a batch of patterned graphics accumulated through learning and data accumulation, including the patterned quadrilateral graphics of the edge of the patch panel, the graphics of the components with characteristic significance on the patch panel, and the graphics of the additional markings added to the patch panel; During the installation of each camera, the system sends the graphics actually captured by the camera and the installation framework graphics to the intelligent management terminal at the same time. The installer adjusts the posture of the camera so that the two graphics overlap.

Images