A cable tunnel access control remote control method and system based on digital twinning

Abstract

The application provides a cable tunnel access control remote control method and system based on digital twinning, which comprises a digital twinning module, an on-site monitoring module, an intelligent analysis module and an access control module; the digital twinning module is used for generating a monitoring model of the cable tunnel; the on-site monitoring module is arranged in the cable tunnel site and is used for collecting on-site monitoring data of the cable tunnel and returning the collected on-site monitoring data to the digital twinning module; the intelligent analysis module is used for performing environment safety analysis and personnel safety analysis according to the on-site monitoring data in the monitoring model and performing joint analysis according to obtained environment safety analysis results and personnel safety analysis results to obtain a control strategy of a corresponding access control node; and the access control module is used for performing corresponding remote control on an access control system of the cable tunnel site according to the obtained control strategy of each access control node. The application helps to improve the safety and reliability of cable tunnel construction and daily management.

Description

Technical Field

[0001] This invention relates to the field of cable tunnel monitoring technology, and in particular to a remote control method and system for cable tunnel access control based on digital twins. Background Technology

[0002] With the acceleration of urbanization in my country, the construction of infrastructure such as power and communications is also accelerating. The construction and use of cable tunnels are becoming increasingly widespread. Due to the critical nature of cable tunnels, unauthorized personnel are typically not allowed to enter them. Furthermore, due to the connectivity limitations of cable tunnels, they are generally designed in sections, with access control checkpoints installed at intervals to achieve security purposes such as fire prevention and theft prevention.

[0003] However, in the daily use of cable tunnels, due to outdated equipment or insufficient level of intelligence, access control points are easily overlooked (for example, maintenance personnel do not close the access control in time after completing maintenance, or the access control is left open for convenience). This makes the access control system installed in the cable tunnel unable to play its due role. Once an abnormal situation occurs, it will pose a serious threat to life and property safety, and affect the safety and reliability of cable tunnel construction and daily management. Summary of the Invention

[0004] To address the aforementioned problems, this invention aims to provide a remote control method and system for cable tunnel access control based on digital twins.

[0005] The objective of this invention is achieved through the following technical solution:

[0006] In a first aspect, the present invention discloses a remote control system for cable tunnel access control based on digital twins, comprising: a digital twin module, a field monitoring module, an intelligent analysis module, and an access control module; wherein,

[0007] The digital twin module is used to generate a monitoring model of the cable tunnel, which includes the spatial structural features of the cable tunnel and the features of the monitoring nodes contained in each space, including environmental monitoring nodes and access control nodes.

[0008] The on-site monitoring module is set up in the cable tunnel to collect on-site monitoring data and transmit the collected data back to the digital twin module. The digital twin module then integrates the received on-site monitoring data into the corresponding monitoring nodes of the monitoring model and updates the monitoring model accordingly. The on-site monitoring data includes environmental monitoring data and access control monitoring data.

[0009] The intelligent analysis module is used to perform environmental safety analysis and personnel safety analysis based on the on-site monitoring data in the monitoring model, obtain the environmental safety analysis results and personnel safety analysis results, and perform joint analysis based on the obtained environmental safety analysis results and personnel safety analysis results to obtain the control strategy of the corresponding access control node;

[0010] The access control module is used to remotely control the access control system at the cable tunnel site according to the control strategies of each access control node, including controlling the on / off status of the access control system and the information displayed.

[0011] Preferably, the digital twin module includes a model building unit and an interface unit; wherein,

[0012] The model setting unit is used to build a monitoring model based on the spatial structure of the cable tunnel using digital twin technology, and to set up corresponding environmental monitoring nodes and access control nodes in the monitoring model according to the on-site layout of the cable tunnel.

[0013] The interface unit is used to establish a communication connection with the field monitoring module, receive field monitoring data transmitted back from the monitoring nodes in real time, and integrate the acquired field monitoring data into the corresponding monitoring nodes of the monitoring model.

[0014] Preferably, the on-site monitoring module includes a sensor unit, an access control unit, and a gateway unit; wherein,

[0015] The sensor unit is used to collect environmental monitoring data at the cable tunnel site and transmit the collected environmental monitoring data to the gateway unit. The environmental monitoring data includes temperature, humidity, dust concentration, and harmful gas concentration.

[0016] The access control unit is used to collect access control monitoring data at the cable tunnel site and transmit the acquired access control monitoring data to the gateway unit. The access control monitoring data includes access control opening and closing data and the identity information of personnel passing through the access control point on site.

[0017] The gateway unit is communicatively connected to the digital twin module and is used to transmit the acquired environmental monitoring data and access control monitoring data to the digital twin module.

[0018] Preferably, the access control system includes security access control and general access control, wherein the security access control is installed at the main entrance and exit of the cable tunnel;

[0019] Access control systems are typically installed inside cable tunnels to divide them into different spaces. These access control systems are equipped with display units that show relevant information based on received control commands. The access control nodes in the monitoring model include general access control nodes and security access control nodes.

[0020] Preferably, the intelligent analysis module includes an environmental analysis unit, a personnel analysis unit, and a joint analysis unit; wherein,

[0021] The environmental analysis unit is used to perform environmental safety analysis based on the environmental monitoring data of each monitoring node in the monitoring model, and to obtain the environmental safety analysis results.

[0022] The personnel analysis unit is used to perform personnel security analysis based on the personnel identity information obtained from each access control node in the monitoring model, and to obtain personnel security analysis results, which include abnormal personnel analysis results and the current personnel lingering status in each area;

[0023] The joint analysis unit is used to perform joint analysis based on the obtained environmental safety analysis results and personnel safety analysis results to obtain the control strategy for the corresponding access control node.

[0024] Preferably, the environmental monitoring unit includes:

[0025] Based on the acquired environmental monitoring data, the environmental monitoring data is compared and analyzed with preset standard thresholds. When the comparison and analysis shows that the environmental monitoring data exceeds the corresponding standard threshold, the environmental safety analysis result is abnormal.

[0026] The personnel analysis unit includes:

[0027] The identity information of the personnel is verified. If the personnel is on the whitelist, the personnel security analysis result is normal; otherwise, the personnel security analysis result is abnormal.

[0028] Preferably, the access control unit includes a status acquisition unit and an image acquisition unit; wherein,

[0029] The status acquisition unit is used to acquire the access control system's on / off data;

[0030] The image acquisition unit is used to capture facial images of visitors who have access to the access control system or have requested access. Based on the acquired facial images, the unit generates visitor access information and transmits the information to the digital twin module, which then provides feedback to the monitoring model.

[0031] The personnel analysis unit is also used to extract personnel facial images based on the acquired personnel access information, and to perform personnel identification based on the acquired personnel facial images to obtain personnel identity information. Furthermore, it performs permission identification based on the acquired personnel identity information to obtain personnel security analysis results. When personnel identity information cannot be identified or the permissions corresponding to the personnel identity information are insufficient, the personnel analysis result is considered abnormal.

[0032] Based on the identified personnel identity information, the current location of the visitor is further recorded to obtain the personnel stay status in each area.

[0033] Preferably, the joint analysis unit includes a first strategy analysis unit and / or a second strategy analysis unit; wherein,

[0034] The first strategy analysis unit is used to generate a first control strategy to close the access control for general access control nodes when the environmental security analysis results are abnormal; and further generate a second control strategy to display prompt information for each general access control node according to the location of the security anomaly; wherein the prompt information includes anomaly prompt information and departure direction prompt information.

[0035] The second strategy analysis unit is used to further judge the personnel safety analysis results when the environmental safety analysis results are normal, and to generate a fourth control strategy to close and lock the access control for the security access control node when the personnel safety analysis results are abnormal.

[0036] Preferably, the access control module includes an instruction generation unit and a remote control unit;

[0037] The instruction generation unit is used to generate control instructions for the access control system at the cable tunnel site based on the control strategies of each access control node. The control instructions include information about the access control system to be controlled, as well as the corresponding switch control instructions and display control instructions for the access control system.

[0038] Remote control commands are used to remotely control the corresponding access control system at the cable tunnel site according to the generated control instructions, so that the access control system is changed to a specified state.

[0039] In a second aspect, the present invention discloses a control method for a remote control system for cable tunnel access control based on a digital twin as described in any of the embodiments of the first aspect above, comprising the following steps:

[0040] The digital twin module generates a monitoring model of the cable tunnel, which includes the spatial structural features of the cable tunnel and the features of the monitoring nodes contained in each space, including environmental monitoring nodes and access control nodes.

[0041] The on-site monitoring module collects on-site monitoring data of the cable tunnel and transmits the collected on-site monitoring data back to the digital twin module, so that the digital twin module can integrate the received on-site monitoring data into the corresponding monitoring nodes of the monitoring model and update the monitoring model; the on-site monitoring data includes environmental monitoring data and access control monitoring data;

[0042] The intelligent analysis module performs environmental safety analysis and personnel safety analysis based on the on-site monitoring data in the monitoring model, obtains environmental safety analysis results and personnel safety analysis results, and performs joint analysis based on the obtained environmental safety analysis results and personnel safety analysis results to obtain the control strategy for the corresponding access control node;

[0043] The access control module remotely controls the access control system at the cable tunnel site according to the control strategies obtained from each access control node, including controlling the on / off status of the access control system and the information displayed.

[0044] The beneficial effects of this invention are as follows: This invention builds a monitoring model for cable tunnels based on digital twin technology. The monitoring model is configured according to the actual conditions of the cable tunnel to recreate the door space structure and access control settings in the digital twin model. This facilitates subsequent overall monitoring and remote control of the cable tunnel access control system based on the monitoring model. Real-time monitoring data of the monitoring model is acquired by a field monitoring module. This field monitoring module, located at the cable tunnel site, enables real-time acquisition of on-site monitoring data and real-time updates to the monitoring model based on the acquired data, thus improving the real-time performance of the cable tunnel access control remote control system. Based on the monitoring model, an intelligent analysis module performs intelligent environmental and personnel safety analysis of the cable tunnel. It intelligently analyzes and monitors the impact of cable tunnel access control from multiple dimensions, improving the intelligence level of the cable tunnel access control system. When an abnormal situation is detected in the cable tunnel, a corresponding access control strategy is generated, and the access control module remotely controls the access control system at the cable tunnel site to mitigate or avoid the impact of abnormal situations, thereby improving the intelligence level of unmanned monitoring of the cable tunnel. Attached Figure Description

[0045] The present invention will be further described with reference to the accompanying drawings, but the embodiments in the drawings do not constitute any limitation on the present invention. For those skilled in the art, other drawings can be obtained based on the following drawings without creative effort.

[0046] Figure 1 This is a structural diagram of a remote control system for cable tunnel access based on digital twins, as shown in an embodiment of the present invention. Detailed Implementation

[0047] The present invention will be further described in conjunction with the following application scenarios.

[0048] See Figure 1An embodiment of a remote control system for cable tunnel access based on digital twins includes: a digital twin module, a field monitoring module, an intelligent analysis module, and an access control module; wherein,

[0049] The digital twin module is used to generate a monitoring model of the cable tunnel, which includes the spatial structural features of the cable tunnel and the features of the monitoring nodes contained in each space, including environmental monitoring nodes and access control nodes.

[0050] The on-site monitoring module is set up in the cable tunnel to collect on-site monitoring data and transmit the collected data back to the digital twin module. The digital twin module then integrates the received on-site monitoring data into the corresponding monitoring nodes of the monitoring model and updates the monitoring model accordingly. The on-site monitoring data includes environmental monitoring data and access control monitoring data.

[0051] The intelligent analysis module is used to perform environmental safety analysis and personnel safety analysis based on the on-site monitoring data in the monitoring model, obtain the environmental safety analysis results and personnel safety analysis results, and perform joint analysis based on the obtained environmental safety analysis results and personnel safety analysis results to obtain the control strategy of the corresponding access control node;

[0052] The access control module is used to remotely control the access control system at the cable tunnel site according to the control strategies of each access control node, including controlling the on / off status of the access control system and the information displayed.

[0053] The above embodiments of the present invention establish a monitoring model for cable tunnels based on digital twin technology. The monitoring model is configured according to the actual conditions of the cable tunnel to recreate the door space structure and access control settings in the digital twin model. This facilitates subsequent overall monitoring and remote control of the cable tunnel access control system based on the monitoring model. Real-time monitoring data of the monitoring model is acquired by a field monitoring module. This field monitoring module, located at the cable tunnel site, enables real-time acquisition of on-site monitoring data and real-time updates to the monitoring model based on the acquired data, thus improving the real-time performance of the cable tunnel access control remote control system. Based on the monitoring model, the intelligent analysis module performs intelligent environmental and personnel safety analysis on cable tunnels. It intelligently analyzes and monitors the impact of cable tunnel access control from multiple dimensions, which helps improve the intelligence level of the cable tunnel access control system. When an abnormal situation is detected in the cable tunnel, a corresponding access control strategy is generated, and the access control module remotely controls the access control system on the cable tunnel site to mitigate and avoid the impact of abnormal situations. This improves the intelligence level of unmanned monitoring of cable tunnels and helps to enhance the safety and reliability of cable tunnel construction and daily management.

[0054] This invention specifically addresses the challenges of identifying and locating abnormal situations such as fires or dense smoke in cable tunnels. Based on the identified anomalies, it allows for unified control of the tunnel's access control system to prevent the spread of the anomaly. Furthermore, it intelligently analyzes evacuation routes based on the location of the anomaly and displays corresponding prompts on the access control system to assist personnel in evacuation. This prevents situations where personnel are unable to determine evacuation routes due to harsh tunnel conditions, thus improving the safety of daily cable tunnel use.

[0055] Preferably, the digital twin module includes a model building unit and an interface unit; wherein,

[0056] The model setting unit is used to build a monitoring model based on the spatial structure of the cable tunnel using digital twin technology, and to set up corresponding environmental monitoring nodes and access control nodes in the monitoring model according to the on-site layout of the cable tunnel.

[0057] The interface unit is used to establish a communication connection with the field monitoring module, receive field monitoring data transmitted back from the monitoring nodes in real time, and integrate the acquired field monitoring data into the corresponding monitoring nodes of the monitoring model.

[0058] During the setup phase, a monitoring model corresponding to the cable tunnel can be constructed using the model setup unit, based on the actual site conditions of the cable tunnel. Simultaneously, according to the actual monitoring and access control equipment settings in the cable tunnel, environmental monitoring nodes and access control nodes are set at corresponding locations on the monitoring model. This ensures that the specific data reflected in the monitoring model corresponds to the actual situation in the cable tunnel, improving the accuracy of the monitoring model construction. Based on the configured monitoring model, a communication connection is established with the on-site monitoring module in the cable tunnel via the interface unit to receive data transmitted from the on-site equipment. Data transmitted from the environmental monitoring equipment is updated to the corresponding environmental monitoring nodes, and data transmitted from the access control equipment is updated to the corresponding access control nodes.

[0059] Preferably, the on-site monitoring module includes a sensor unit, an access control unit, and a gateway unit; wherein,

[0060] The sensor unit is used to collect environmental monitoring data at the cable tunnel site and transmit the collected environmental monitoring data to the gateway unit. The environmental monitoring data includes temperature, humidity, dust concentration, and harmful gas concentration.

[0061] The access control unit is used to collect access control monitoring data at the cable tunnel site and transmit the acquired access control monitoring data to the gateway unit. The access control monitoring data includes access control opening and closing data and the identity information of personnel passing through the access control point on site.

[0062] The gateway unit is communicatively connected to the digital twin module and is used to transmit the acquired environmental monitoring data and access control monitoring data to the digital twin module.

[0063] The on-site monitoring module is set up in the cable tunnel site, with sensor units distributed in different spaces of the cable tunnel. It can collect environmental monitoring data at various locations in the cable tunnel in real time. For special spaces, targeted environmental monitoring sensors can also be set up to obtain specific environmental indicators in that space, so as to meet the needs of environmental data monitoring and collection in the cable tunnel.

[0064] As a dividing point between subspaces in a cable tunnel, the access control unit can obtain information about personnel passing through each space. At the same time, the access control unit also transmits its own opening and closing status data in real time to reflect the operating status of the access control system in the cable tunnel.

[0065] When the sensor unit and access control unit collect and need to transmit the corresponding monitoring data, the data transmission is achieved through the network management unit. Through wireless data transmission technology, the monitoring data can be quickly and accurately transmitted back to the digital twin module.

[0066] Preferably, the access control system includes security access control and general access control, wherein the security access control is installed at the main entrance and exit of the cable tunnel;

[0067] Access control systems are typically installed inside cable tunnels to divide them into different spaces. These access control systems usually have display units that show relevant information based on the received control commands.

[0068] Correspondingly, the access control nodes in the monitoring model include general access control nodes and security access control nodes;

[0069] Considering the needs of practical application scenarios and the security requirements for personnel and the environment, the access control equipment installed at the cable tunnel site is divided into general access control and security access control. Security access control is located at the main entrance and exit of the cable tunnel. Under normal circumstances, a high-security area is reserved within the security access control area to meet security requirements while preventing safety accidents caused by personnel being trapped. General access control is located inside the cable tunnel to separate different sub-spaces within the tunnel. General access control has fire prevention and smoke prevention functions, and in emergencies, it can effectively isolate abnormal environmental conditions in the cable tunnel sub-spaces to mitigate the spread of abnormalities and effectively improve the safety of the cable tunnel site. General access control also includes a display unit that can show relevant prompts (such as dynamic escape route displays in emergencies, and zoning indicators under normal circumstances) to assist personnel in understanding relevant information and content within the cable tunnel.

[0070] Both general access control and security access control are remotely controlled by the system, enabling control of the opening and closing of access control doors and the display of prompts on the access control system's display unit.

[0071] Preferably, the intelligent analysis module includes an environmental analysis unit, a personnel analysis unit, and a joint analysis unit; wherein,

[0072] The environmental analysis unit is used to perform environmental safety analysis based on the environmental monitoring data of each monitoring node in the monitoring model, and to obtain the environmental safety analysis results.

[0073] The personnel analysis unit is used to perform personnel security analysis based on the personnel identity information obtained from each access control node in the monitoring model, and to obtain personnel security analysis results, which include abnormal personnel analysis results and the current personnel lingering status in each area;

[0074] The joint analysis unit is used to perform joint analysis based on the obtained environmental safety analysis results and personnel safety analysis results to obtain the control strategy for the corresponding access control node.

[0075] The intelligent analysis module is mainly divided into three parts: the environmental analysis unit is specifically used to compare and analyze the obtained environmental monitoring data with corresponding indicators, monitor whether environmental monitoring data exceeds the indicators or abnormalities occur in the cable tunnel, and obtain environmental safety analysis results. The personnel analysis unit is specifically used to perform security verification based on the personnel identity information obtained from each access control node, thereby determining whether the personnel lingering in the cable tunnel are abnormal personnel, and to analyze the personnel lingering status in each area of ​​the cable tunnel based on the data feedback from each access control node.

[0076] The joint analysis unit performs joint analysis based on the obtained environmental safety analysis results and personnel safety analysis results. In particular, when the environmental safety analysis results show abnormalities, it combines the current personnel safety analysis results to generate control strategies for each access control node, thereby improving the level of intelligence in safety analysis.

[0077] Preferably, the environmental monitoring unit includes:

[0078] Based on the acquired environmental monitoring data, the environmental monitoring data is compared and analyzed with preset standard thresholds. When the comparison and analysis show that the environmental monitoring data exceeds the corresponding standard threshold, the environmental safety analysis result is considered abnormal.

[0079] For environmental safety analysis, it can compare and analyze the obtained environmental monitoring data with the corresponding environmental indicators to monitor whether there are any exceeding or abnormal environmental monitoring indicators in the cable tunnel, and can quickly identify and report environmental anomalies at the cable tunnel site.

[0080] Preferably, the personnel analysis unit includes:

[0081] The identity information of the personnel is verified. If the personnel is on the whitelist, the personnel security analysis result is normal; otherwise, the personnel security analysis result is abnormal.

[0082] The personnel analysis unit performs security verification on personnel identity information. Based on the obtained personnel identity information, it identifies whether the person is on the whitelist or an abnormal person, thereby determining whether the identity of the person entering the cable tunnel is safe.

[0083] Preferably, the personnel analysis unit also includes:

[0084] Based on the current time information, determine whether the current time is within the preset alert period. If the current time is within the alert period and personnel are detected lingering in the cable tunnel, the personnel safety analysis result is abnormal.

[0085] In another approach, time information can be further incorporated as an analysis parameter to assess personnel safety. For example, a permitted entry time period can be set, or the personnel safety analysis results can be judged based on the duration of personnel's stay in the cable tunnel, thereby further improving the reliability of personnel safety analysis.

[0086] Preferably, the access control unit includes a status acquisition unit and an image acquisition unit; wherein,

[0087] The status acquisition unit is used to acquire the access control system's on / off data;

[0088] The image acquisition unit is used to capture facial images of visitors who have access to the access control system or have requested access. Based on the acquired facial images, the unit generates visitor access information and transmits the information to the digital twin module, which then provides feedback to the monitoring model.

[0089] The personnel analysis unit is also used to extract facial images of visitors based on the acquired personnel access information, and to perform personnel identification based on the acquired facial images to obtain visitor identity information. Furthermore, it performs permission identification based on the acquired personnel identity information to obtain personnel security analysis results. When personnel identity information cannot be identified or the permissions corresponding to the personnel identity information are insufficient, the personnel analysis result is considered abnormal.

[0090] Based on the identified personnel identity information, the current location of the visitor is further recorded to obtain the personnel stay status in each area.

[0091] One method for verifying personnel identity is facial recognition. This involves capturing facial images of individuals at the cable tunnel access control points and transmitting them to an analysis module. The analysis module performs facial recognition to obtain the user's identity information, retrieves relevant access permissions, and determines whether the user is authorized. This provides a personnel security analysis result. Simultaneously, based on the identification results from each access control point, the system tracks the movement of individuals within the cable tunnel to determine their location and activity level. Using facial recognition to obtain personnel identity information improves the reliability of identification and verification, avoiding identity theft issues that can occur with traditional methods like account passwords or communication cards. It accurately captures the situation of personnel within the cable tunnel, enhancing the adaptability of the cable tunnel access control system for subsequent remote control.

[0092] Preferably, the personnel analysis unit includes an image processing unit;

[0093] The image processing unit is used to perform personnel identification based on the acquired facial images of visitors to obtain visitor identity information; including:

[0094] The obtained facial images of visitors are preprocessed to obtain preprocessed facial images of visitors;

[0095] Feature extraction is performed on the preprocessed facial images of visitors to obtain their facial features;

[0096] The system analyzes the facial features of visitors against those of people on a pre-defined whitelist to identify their identity. If a match cannot be found with the facial features of a person on the whitelist, the visitor is recorded as a stranger.

[0097] For identity verification based on facial recognition, the personnel analysis unit includes an image processing unit specifically for recognizing and processing acquired facial images to obtain the identity information of visitors. Specifically, for the facial images of visitors acquired by the access control node, preprocessing is first performed to improve image quality, followed by facial feature extraction. Based on these facial features, a similarity matching analysis is conducted with pre-stored standard facial features in the database to identify the corresponding person's identity information.

[0098] In cable tunnels, which are non-outdoor spaces, natural light is scarce, and white light is typically used as the light source. In the enclosed environment of a cable tunnel, backlighting or glare can easily occur in the captured facial images, affecting the clarity of the visitors' faces. Therefore, the acquired facial images of visitors are first preprocessed to improve image clarity and enhance any abnormal lighting conditions, thereby improving the reliability and adaptability of subsequent facial image-based identity recognition.

[0099] Preferably, in the image processing unit, preprocessing is performed based on the acquired facial image of the visitor, specifically including:

[0100] 1) Based on the obtained face images of visitors, convert the face images of visitors from RGB color space to HSV color space, and obtain the hue channel sub-image P(H), saturation channel sub-image P(S) and luminance channel sub-image P(V) of the face images of visitors respectively.

[0101] 2) Extract the illumination feature components of each pixel based on the obtained brightness channel sub-image. The illumination feature component calculation function used is:

[0102] in,SH(x, y) Represents pixels (x, y) Illumination characteristic components, v(x, y) Represents pixels (x, y) The brightness channel value, , These represent the scale control factors;

[0103] 3) Analyze the image brightness distribution based on the illumination feature components of each pixel:

[0104] The brightness influence value at each feature location is calculated separately, and the brightness influence value calculation function used is as follows:

[0105] in, VS(G j ) Let represent the brightness influence value at the j-th feature location, where j = 1, 2, ..., 5; and the coordinates of the five feature locations are as follows: G 1 =(1 / 5×L, 4 / 5×H), G 2 =(4 / 5×L, 4 / 5×H), G 3 =(1 / 5×L, 1 / 5×H), G 4 =(4 / 5×L, 1 / 5×H), G 5 =(1 / 2×L, 1 / 2×H); (a, b) ∈ K Represents the variable pixel point (a, b) Belongs to set set K The pixels, where the set K Represents the set of all pixels in an image; β This represents the preset distance adjustment factor, where β∈ [0.01, 100], D((a, b), G j ) Represents pixels (a, b) To the feature location G j The distance;

[0106] Based on the obtained brightness influence values ​​at each feature location, when condition IFAND1 is met: VS(G a ) > VST1 and | VS(G a ) - VS(G b )| > VST2, where variables a, b = 1, 2, … 5; VST1 and VST2 These represent the set impact thresholds, where VST1 ∈ [0.6, 0.8], VST2 ∈ [0.4, 0.6], If the condition IFAND1 is not met, then mark the current image as an affected image; otherwise, if the condition IFAND1 is not met, mark the current image as a normal image.

[0107] 4) For cases marked as affecting the image, brightness suppression processing is performed on each pixel in the image, where the brightness suppression function used is:

[0108] in, v'(x, y) Indicates the pixel after brightness suppression processing (x, y) The brightness channel value, v(x, y) Represents pixels (x, y) The brightness channel value, h(x, y) Represents pixels (x, y) grayscale value, SH Q(x,y) Represented by pixels (x, y) The average illumination feature components of each pixel within a 5×5 area centered on the center. SH P This represents the average illumination feature component of the image;

[0109] Further brightness equalization processing is performed on all pixels, using the following brightness equalization function:

[0110] in, v''(x, y) Indicates the pixel after brightness equalization processing (x, y) The brightness channel value, vTT This represents the set standard value for the luminance channel, where vTT ∈ [0.5, 0.7] ;

[0111] Obtain the face image after brightness equalization processing, extract edge features based on the face image, obtain the edge pixels in the detected visitor's face image, and record the edge pixels in the set GA(D); the edge pixel detection can be completed using the Sobel or Roberts edge pixel detection operator;

[0112] A brightness stretching process is performed on pixel (c, d) in the set GA(D), where the brightness stretching function used is:

[0113] Where v'''(c,d) represents the luminance channel value of pixel (c,d) after luminance stretching, v''(c,d) represents the luminance channel value of pixel (c,d) before luminance stretching, and v''(c,d) represents the average luminance channel value of each pixel within a 5×5 range centered on pixel (c,d).

[0114] Based on the luminance channel subimage P(V''') and hue channel subimage P(H) after luminance stretching, the saturation channel subimage P(S) is reconverted to the RGB color space to obtain the preprocessed visitor face image;

[0115] 5) For images labeled as general, brightness adjustment is performed on each pixel in the image, using the following brightness adjustment function:

[0116] in, v'(x, y) Indicates the pixel after brightness adjustment processing (x, y) The brightness channel value, v Q(x,y) Represented by pixels (x, y) The average brightness channel value of each pixel within a 5×5 area centered on the center; vTT This represents the set standard value for the luminance channel, where vTT ∈ [0.5, 0.7] ;

[0117] Based on the brightness channel sub-image P(V') and hue channel sub-image P(H) after brightness adjustment, the saturation channel sub-image P(S) is converted back to the RGB color space to obtain the preprocessed visitor face image.

[0118] Preferred scale control factor ，。

[0119] In another approach, set K represents a set of M randomly selected pixels from the image; where M is greater than 1 / 3NM, and NM represents the total number of pixels in the image.

[0120] In the above embodiments, considering that facial images acquired in cable tunnel environments are easily affected by indoor white light sources, resulting in backlighting or reflections in the image, a preprocessing technology solution for user facial images is proposed based on the image processing unit. This solution can first preprocess the acquired facial images to achieve adaptive judgment and corresponding adjustments to abnormal lighting conditions in the facial images, thereby helping to improve image clarity. The process involves first converting the acquired face image to the HSV color space, and then using the obtained luminance channel sub-image as the basis for brightness enhancement. A proposed illumination feature component calculation function is employed to calculate the illumination feature components of each pixel in the image, thus reflecting the true illumination conditions at each location. Based on the obtained luminance feature components of each pixel, the brightness influence value of each feature location in the image is further detected. Based on the obtained brightness influence value, the presence of reflections or backlighting in the image is adaptively determined. When backlighting or reflections occur (affecting the image), the abnormal brightness locations in the image are first suppressed to reduce the impact of abnormal illumination. For images where abnormal illumination has been eliminated, the overall brightness level is restored through overall equalization, thereby improving the overall image clarity. Furthermore, for images with abnormal illumination where feature parts are easily affected by abnormal illumination and thus become less noticeable, after improving the overall brightness level, further detail enhancement is performed on the feature parts in the image to improve the representation level and clarity of feature information. This effectively improves the clarity of both the overall image and its details, thereby indirectly enhancing the reliability of subsequent identity recognition and authentication based on facial images. Furthermore, by analyzing general images without lighting anomalies, the overall brightness level of these images is adjusted to improve overall image clarity, which also contributes to enhancing the reliability of subsequent identity recognition and authentication based on facial images.

[0121] Preferably, the joint analysis unit includes a first strategy analysis unit; wherein,

[0122] The first strategy analysis unit is used to generate a first control strategy to close the access control for general access control nodes when the environmental security analysis results are abnormal; and further generate a second control strategy to display prompt information for each general access control node according to the location of the security anomaly; wherein the prompt information includes anomaly prompt information and departure direction prompt information.

[0123] In one scenario, when an environmental anomaly is detected in area A of a cable tunnel, the access control equipment is automatically shut off to prevent the anomaly from spreading. Simultaneously, based on the location of the anomaly in area A, escape routes at each access control point are analyzed. These routes are planned to be as far away from area A as possible, selecting the nearest exit. Based on the identified escape routes, instructions are transmitted to the corresponding access control nodes (e.g., displaying an overall escape route map or indicating the correct evacuation direction from the current location). This method dynamically analyzes escape routes at each location based on the location of the anomaly and transmits these instructions to the on-site access control equipment. This guides personnel in a confined environment to quickly choose the correct escape route, improving safety in abnormal situations.

[0124] Preferably, the first strategy analysis unit further includes:

[0125] When the environmental safety analysis results are abnormal, a third control strategy is generated to trigger an alarm for the alarm device.

[0126] When the environmental analysis results show abnormalities, corresponding control commands are also generated to the management terminal or alarm device so that the site manager can be informed of the occurrence of abnormal situations in a timely manner and take appropriate measures to deal with the abnormal situations.

[0127] Preferably, the joint analysis unit includes a second strategy analysis unit; wherein,

[0128] The second strategy analysis unit is used to further judge the personnel safety analysis results when the environmental safety analysis results are normal, and to generate a fourth control strategy to close and lock the access control for the security access control node when the personnel safety analysis results are abnormal.

[0129] In another scenario, if there are no environmental anomalies at the cable site but unauthorized personnel intrude, locking the security access control system will prevent further unauthorized entry and exit. Relevant personnel will then be dispatched to the site to handle the situation. This effectively prevents unauthorized entry and ensures the safety of equipment and property within the cable tunnel.

[0130] Preferably, the access control module includes an instruction generation unit and a remote control unit;

[0131] The instruction generation unit is used to generate control instructions for the access control system at the cable tunnel site based on the control strategies of each access control node. The control instructions include information about the access control system to be controlled, as well as the corresponding switch control instructions and display control instructions for the access control system.

[0132] Remote control commands are used to remotely control the corresponding access control system at the cable tunnel site according to the generated control instructions, so that the access control system is changed to a specified state.

[0133] The system can remotely control the access control equipment at the cable site through the access control module. The instruction generation unit can generate corresponding control instructions for different situations according to preset rules and strategies. By remotely transmitting the control instructions to the access control equipment at the cable site, the real-time status of the access control equipment can be controlled to complete the corresponding control tasks.

[0134] Meanwhile, in another embodiment, based on the aforementioned remote control system for cable tunnel access control based on digital twins, the present invention also proposes a control method for the remote control system for cable tunnel access control, comprising the following steps:

[0135] The digital twin module generates a monitoring model of the cable tunnel, which includes the spatial structural features of the cable tunnel and the features of the monitoring nodes contained in each space, including environmental monitoring nodes and access control nodes.

[0136] The on-site monitoring module collects on-site monitoring data of the cable tunnel and transmits the collected on-site monitoring data back to the digital twin module, so that the digital twin module can integrate the received on-site monitoring data into the corresponding monitoring nodes of the monitoring model and update the monitoring model; the on-site monitoring data includes environmental monitoring data and access control monitoring data;

[0137] The intelligent analysis module performs environmental safety analysis and personnel safety analysis based on the on-site monitoring data in the monitoring model, obtains environmental safety analysis results and personnel safety analysis results, and performs joint analysis based on the obtained environmental safety analysis results and personnel safety analysis results to obtain the control strategy for the corresponding access control node;

[0138] The access control module remotely controls the access control system at the cable tunnel site according to the control strategies obtained from each access control node, including controlling the on / off status of the access control system and the information displayed.

[0139] Meanwhile, the proposed remote control method for cable tunnel access control further includes the technical solutions contained in the above embodiments, which will not be repeated here.

[0140] It should be noted that the functional units / modules in the various embodiments of the present invention can be integrated into one processing unit / module, or each unit / module can exist physically separately, or two or more units / modules can be integrated into one unit / module. The integrated unit / module described above can be implemented in hardware or in the form of software functional units / modules.

[0141] From the above description of the embodiments, those skilled in the art will clearly understand that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code, or any suitable combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: Application-Specific Integrated Circuit (ASIC), Digital Signal Processor (DSP), Digital Signal Processing Device (DSPD), Programmable Logic Device (PLD), Field-Programmable Gate Array (FPGA), processor, controller, microcontroller, microprocessor, other electronic units designed to implement the functions described herein, or combinations thereof. For software implementation, some or all of the processes of the embodiments can be implemented by a computer program instructing the associated hardware. During implementation, the program can be stored in a computer-readable medium or transmitted as one or more instructions or code on a computer-readable medium. Computer-readable media include computer storage media and communication media, wherein communication media include any medium that facilitates the transmission of a computer program from one place to another. Storage media can be any available medium accessible to a computer. Computer-readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code having the form of instructions or data structures and accessible to a computer.

[0142] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit the scope of protection of the present invention. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should be able to analyze that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the essence and scope of the technical solutions of the present invention.

Claims

1. A remote control system for cable tunnel access based on digital twins, characterized in that, include: The module includes a digital twin module, a field monitoring module, an intelligent analysis module, and an access control module; among which, The digital twin module is used to generate a monitoring model of the cable tunnel, which includes the spatial structural features of the cable tunnel and the features of the monitoring nodes contained in each space, including environmental monitoring nodes and access control nodes. The on-site monitoring module is set up in the cable tunnel to collect on-site monitoring data and transmit the collected data back to the digital twin module. The digital twin module then integrates the received on-site monitoring data into the corresponding monitoring nodes of the monitoring model and updates the monitoring model accordingly. The on-site monitoring data includes environmental monitoring data and access control monitoring data. The intelligent analysis module is used to perform environmental safety analysis and personnel safety analysis based on the on-site monitoring data in the monitoring model, obtain the environmental safety analysis results and personnel safety analysis results, and perform joint analysis based on the obtained environmental safety analysis results and personnel safety analysis results to obtain the control strategy of the corresponding access control node; The access control module is used to remotely control the access control system at the cable tunnel site according to the control strategy of each access control node, including controlling the opening and closing status of the access control system and the information displayed. The intelligent analysis module includes an environmental analysis unit, a personnel analysis unit, and a joint analysis unit; the personnel analysis unit includes an image processing unit. The image processing unit performs preprocessing on the acquired facial images of visitors, specifically including: 1) Based on the obtained face images of visitors, convert the face images of visitors from RGB color space to HSV color space, and obtain the hue channel sub-image P(H), saturation channel sub-image P(S) and luminance channel sub-image P(V) of the face images of visitors respectively. 2) Extract the illumination feature components of each pixel based on the obtained brightness channel sub-image. The illumination feature component calculation function used is: in, SH(x,y) Represents pixels (x,y) Illumination characteristic components, v(x,y) Represents pixels (x,y) The brightness channel value, , , These represent the scale control factors; 3) Analyze the image brightness distribution based on the illumination feature components of each pixel: The brightness influence value at each feature location is calculated separately, and the brightness influence value calculation function used is as follows: in, VS(G j ) Let represent the brightness influence value at the j-th feature location, where j = 1, 2, ..., 5; and the coordinates of the five feature locations are as follows: G 1 =(1 / 5×L, 4 / 5×H), G 2 =(4 / 5×L, 4 / 5×H), G 3 =(1 / 5×L, 1 / 5×H), G 4 =(4 / 5×L, 1 / 5×H), G 5 =(1 / 2×L,1 / 2×H); (a,b)∈K Represents the variable pixel point (a,b) Belongs to set K The pixels, where the set K Represents the set of all pixels in an image; β This represents the preset distance adjustment factor, where β∈[0.01, 100], D((a,b), G j ) Represents pixels (a,b) To the feature location G j The distance; Based on the obtained brightness influence values ​​at each feature location, when condition IFAND1 is met: VS(G a )>VST1 and | VS (G a )- VS(G b When | > VST2, where variables a, b = 1, 2, ... 5; VST1 and VST2 These represent the set impact thresholds, where VST1∈[0.6,0.8], VST2∈[0.4,0.6], If the condition IFAND1 is not met, then mark the current image as an affected image; otherwise, if the condition IFAND1 is not met, mark the current image as a normal image. 4) For cases marked as affecting the image, perform brightness suppression processing on each pixel in the image; 5) For images marked as general images, adjust the brightness of each pixel in the image.

2. The cable tunnel access control remote control system based on digital twin as described in claim 1, characterized in that, The digital twin module includes a model building unit and an interface unit; among them, The model building unit is used to build a monitoring model based on the spatial structure of the cable tunnel using digital twin technology, and to set up corresponding environmental monitoring nodes and access control nodes in the monitoring model according to the on-site layout of the cable tunnel. The interface unit is used to establish a communication connection with the field monitoring module, receive field monitoring data transmitted back from the monitoring nodes in real time, and integrate the acquired field monitoring data into the corresponding monitoring nodes of the monitoring model.

3. The cable tunnel access control remote control system based on digital twin as described in claim 2, characterized in that, The on-site monitoring module includes a sensor unit, an access control unit, and a gateway unit; among which, The sensor unit is used to collect environmental monitoring data at the cable tunnel site and transmit the collected environmental monitoring data to the gateway unit. The environmental monitoring data includes temperature, humidity, dust concentration, and harmful gas concentration. The access control unit is used to collect access control monitoring data at the cable tunnel site and transmit the acquired access control monitoring data to the gateway unit. The access control monitoring data includes access control opening and closing data and the identity information of personnel passing through the access control point on site. The gateway unit is communicatively connected to the digital twin module and is used to transmit the acquired environmental monitoring data and access control monitoring data to the digital twin module.

4. The cable tunnel access control remote control system based on digital twin as described in claim 3, characterized in that, Access control includes security access control and general access control, with security access control installed at the main entrance and exit of the cable tunnel; Access control systems are typically installed inside cable tunnels to divide them into different spaces. These access control systems are equipped with display units that show relevant information based on received control commands. The access control nodes in the monitoring model include general access control nodes and security access control nodes.

5. A remote control system for cable tunnel access control based on digital twins according to claim 3, characterized in that, The intelligent analysis module includes an environmental analysis unit, a personnel analysis unit, and a joint analysis unit; among them, The environmental analysis unit is used to perform environmental safety analysis based on the environmental monitoring data of each monitoring node in the monitoring model, and to obtain the environmental safety analysis results. The personnel analysis unit is used to perform personnel security analysis based on the personnel identity information obtained from each access control node in the monitoring model, and to obtain personnel security analysis results, which include abnormal personnel analysis results and the current personnel lingering status in each area; The joint analysis unit is used to perform joint analysis based on the obtained environmental safety analysis results and personnel safety analysis results to obtain the control strategy for the corresponding access control node.

6. A remote control system for cable tunnel access control based on digital twins according to claim 5, characterized in that, The environmental monitoring unit includes: Based on the acquired environmental monitoring data, the environmental monitoring data is compared and analyzed with preset standard thresholds. When the comparison and analysis shows that the environmental monitoring data exceeds the corresponding standard threshold, the environmental safety analysis result is abnormal. The personnel analysis unit includes: The identity information of the personnel is verified. If the personnel is on the whitelist, the personnel security analysis result is normal; otherwise, the personnel security analysis result is abnormal.

7. A remote control system for cable tunnel access control based on digital twins according to claim 5, characterized in that, The access control unit includes a status acquisition unit and an image acquisition unit; among which, The status acquisition unit is used to acquire the access control system's on / off data; The image acquisition unit is used to acquire facial images of visitors who pass through the access control system or request to pass through the access control system, and generate visitor access information based on the acquired visitor facial images. The visitor access information is then transmitted to the digital twin module, which provides feedback to the monitoring model. The personnel analysis unit is also used to extract facial images of visitors based on the acquired personnel access information, and to perform personnel identification based on the acquired facial images to obtain visitor identity information. Furthermore, it performs permission identification based on the acquired personnel identity information to obtain personnel security analysis results. When personnel identity information cannot be identified or the permissions corresponding to the personnel identity information are insufficient, the personnel analysis result is considered abnormal. Based on the identified personnel identity information, the current location of the visitor is further recorded to obtain the personnel stay status in each area.

8. A remote control system for cable tunnel access control based on digital twins according to claim 5, characterized in that, The joint analysis unit includes a first strategy analysis unit and / or a second strategy analysis unit; wherein, The first strategy analysis unit is used to generate a first control strategy to close the access control for general access control nodes when the environmental security analysis results are abnormal; and further generate a second control strategy to display prompt information for each general access control node according to the location of the security anomaly; wherein the prompt information includes anomaly prompt information and departure direction prompt information. The second strategy analysis unit is used to further judge the personnel safety analysis results when the environmental safety analysis results are normal, and to generate a fourth control strategy to close and lock the access control for the security access control node when the personnel safety analysis results are abnormal.

9. A remote control system for cable tunnel access control based on digital twins according to claim 5, characterized in that, The access control module includes an instruction generation unit and a remote control unit; The instruction generation unit is used to generate control instructions for the access control system at the cable tunnel site based on the control strategies of each access control node. The control instructions include information about the access control system to be controlled, as well as the corresponding switch control instructions and display control instructions for the access control system. The remote control unit is used to remotely control the corresponding access control system at the cable tunnel site according to the generated control commands, so that the access control system is changed to a specified state.

10. A control method for a remote control system for cable tunnel access control based on digital twins as described in any one of claims 1-9, characterized in that, include: The digital twin module generates a monitoring model of the cable tunnel, which includes the spatial structural features of the cable tunnel and the features of the monitoring nodes contained in each space, including environmental monitoring nodes and access control nodes. The on-site monitoring module collects on-site monitoring data of the cable tunnel and transmits the collected on-site monitoring data back to the digital twin module, so that the digital twin module can integrate the received on-site monitoring data into the corresponding monitoring nodes of the monitoring model and update the monitoring model; the on-site monitoring data includes environmental monitoring data and access control monitoring data; The intelligent analysis module performs environmental safety analysis and personnel safety analysis based on the on-site monitoring data in the monitoring model, obtains environmental safety analysis results and personnel safety analysis results, and performs joint analysis based on the obtained environmental safety analysis results and personnel safety analysis results to obtain the control strategy for the corresponding access control node; The access control module remotely controls the access control system at the cable tunnel site according to the control strategies obtained from each access control node, including controlling the on / off status of the access control system and the information displayed.

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