Non-line-of-sight network bridge communication control method based on outdoor deployment scene and related equipment

Abstract

The invention discloses a non-line-of-sight network bridge communication control method based on an outdoor deployment scene and related equipment. The method comprises the following steps: acquiring scene region division information, a position relationship and associated video monitoring equipment distribution information in a scene to which a network bridge belongs; based on the scene area division information, the position relationship and the associated video monitoring equipment distribution information, determining a control influence relationship among all the video monitoring equipment; and determining a video acquisition control state and a communication control state of a controlled influence device corresponding to the master control influence device according to the control influence relationship and video content acquired by the master control influence device. The problem that although the new Wi-Fi standard usually considers energy efficiency, higher performance and complexity may also bring greater energy consumption can be solved. And especially for a network bridge product of which the receiving end is in an outdoor deployment scene, the energy consumption of a communication product greatly affects the use effect of the network bridge product.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of communications, and more specifically, the present invention relates to a non-line-of-sight bridge communication control method and related equipment based on an outdoor deployment scenario. Background Art

[0002] As a new generation of wireless network, Wi-Fi 7 has a higher data transmission rate: Wi-Fi 7 introduces a higher frequency band, which uses the millimeter wave band, which enables it to provide greater bandwidth and faster data transmission speed, which is much faster than the maximum rate of Wi-Fi 6. Wi-Fi 7 will adopt more advanced modulation and coding schemes to improve spectrum efficiency, so that more data can be transmitted under the same spectrum resources. Efficient spatial multiplexing and spectrum multiplexing will improve the overall capacity and efficiency of the network, making the network performance better in high-density environments. Wi-Fi 7 will also focus on further reducing network latency, which will be very beneficial for applications that require real-time response (such as online games, virtual reality, etc.). New technologies and standards are expected to improve network reliability and reduce data packet loss and errors, especially in interference and crowded environments.

[0003] As a new generation of wireless network, Wi-Fi 7 provides users with a wireless experience with faster speed, more stable connection and higher security. It will promote the development of wireless communication technology and provide better network performance and user experience for various application scenarios.

[0004] Although new Wi-Fi standards usually take energy efficiency into consideration, higher performance and complexity may also lead to greater energy consumption. Especially for bridge products where the receiving end is deployed outdoors, the energy consumption of communication products will greatly affect the use of bridge products.

[0005] Currently, in view of energy consumption issues, solar power can be used. Using solar panels to power devices is a common solution in outdoor power-free scenarios. Wireless devices with solar charging functions or separate solar charging kits can be used. Or consider wind power supply. In areas with strong winds, small wind turbines can be used to power devices. Portable generators can also be used for power supply. For temporary needs, portable generators can be used to power wireless bridges, but wind and solar energy have high environmental requirements. Portable generators usually require manual refueling and are expensive. Summary of the invention

[0006] A series of simplified concepts are introduced in the Summary of the Invention, which will be further described in detail in the Detailed Description of the Invention. The Summary of the Invention does not mean to attempt to define the key features and essential technical features of the claimed technical solution, nor does it mean to attempt to determine the scope of protection of the claimed technical solution.

[0007] In order to solve the problem that although new Wi-Fi standards usually consider energy efficiency, higher performance and complexity may also lead to greater energy consumption. Especially for bridge products with outdoor deployment scenarios, the energy consumption of communication products will greatly affect the use effect of bridge products. In the first aspect, the present invention proposes a non-line-of-sight bridge communication control method based on outdoor deployment scenarios, the method includes:

[0008] Obtain scene area division information, position relationship and associated video surveillance equipment distribution information in the scene to which the network bridge belongs, wherein the video surveillance equipment distribution information includes a corresponding relationship between a monitoring range of the video surveillance equipment and the scene area;

[0009] Based on the scene area division information, position relationship and associated video surveillance device distribution information, determine the control influence relationship between all video surveillance devices, wherein each group of control influence relationships includes at least one master control influencing device and at least one controlled influencing device, and the video content collected by the master control influencing device can affect the video collection control state and communication control state of the corresponding controlled influencing device;

[0010] The video acquisition control state and the communication control state of the controlled influencing device corresponding to the master influencing device are determined according to the control influence relationship and the video content collected by the master influencing device.

[0011] Optionally, the determining the control influence relationship between all video surveillance devices based on the scene area division information, the position relationship and the associated video surveillance device distribution information includes:

[0012] Determine a theoretical intrusion path based on the scene area division information and the position relationship, wherein the theoretical intrusion path is a theoretical order in which different scene areas are invaded based on the position relationship when an external intrusion event occurs;

[0013] The control influence relationship between all video surveillance devices is determined according to the theoretical intrusion path, so that the scene area corresponding to the main control influence device in each group of control influence relationships is the scene area that the theoretical intrusion path passes through first compared to the scene area corresponding to the controlled influence device.

[0014] Optionally, determining the video acquisition control state and communication control state of the controlled influencing device corresponding to the master influencing device according to the control influence relationship and the video content acquired by the master influencing device includes:

[0015] Analyze the video content collected by the main control device;

[0016] When the video content collected by the master control influencing device shows that there is no intrusion anomaly, the energy consumption optimization strategy of the bridge is executed to upload only the video data collected by the master control influencing device and switch the network standard of the bridge to wifi6 and lower network standards for data communication;

[0017] When the video content collected by the master influencing device shows that there is an intrusion anomaly, the video data collected by the master influencing device and the controlled influencing device are uploaded and the network standard of the bridge is switched to wifi7 for data communication.

[0018] Optionally, the outdoor deployment scenario includes a master bridge and multiple slave bridges, the master bridge is used to be deployed on the supervision side, and the multiple slave bridges are respectively deployed adjacent to the subordinate video surveillance devices as transmitting ends for returning video surveillance data, and the method further includes:

[0019] The monitoring video data from multiple transmitting ends of the bridge are transmitted back to the supervision side deployed by the main bridge by time-division multiplexing, wherein the time-division multiplexing order is determined based on the control influence relationship and the video content collected by the main control influence device.

[0020] Optionally, also include:

[0021] During the bridge deployment phase, obtain the planned deployment locations of video surveillance equipment;

[0022] Determine an ideal deployment area of ​​the network bridge corresponding to each video surveillance device based on the planned deployment location;

[0023] Marking the ideal deployment area in map data of the outdoor deployment scene, wherein the map data includes outlines and location information of all fixed obstructions that have an impact on information dissemination;

[0024] Connect different points in different ideal deployment areas where communication is required, select lines to avoid fixed obstructions for bridge deployment, and determine the bridge deployment angle based on the lines and points to align the bridge during the bridge deployment phase.

[0025] Optionally, also include:

[0026] Converting a deployment scene into a grayscale image or a depth image, wherein the deployment scene includes point cloud data, wherein occluders are displayed as high-value areas and open areas are displayed as low-value areas;

[0027] Use edge detection algorithms to detect the boundaries of occluders, where the boundary lines are used to define the range of occluders and automatically generate ideal deployment areas without occlusions;

[0028] In the open area outside the boundary, the best deployment point is calculated based on the communication requirements

[0029] In a second aspect, the present invention further proposes a non-line-of-sight bridge communication control device based on an outdoor deployment scenario, comprising:

[0030] An acquisition unit, used to acquire scene area division information, position relationship and associated video surveillance equipment distribution information in the scene to which the network bridge belongs, wherein the video surveillance equipment distribution information includes a corresponding relationship between a monitoring range of the video surveillance equipment and the scene area;

[0031] A determination unit, configured to determine the control influence relationship between all video surveillance devices based on the scene area division information, the position relationship and the associated video surveillance device distribution information, wherein each group of control influence relationships includes at least one master control influencing device and at least one controlled influencing device, and the video content collected by the master control influencing device can affect the video collection control state and communication control state of the corresponding controlled influencing device;

[0032] The communication control unit is used to determine the video acquisition control state and communication control state of the controlled influencing device corresponding to the master influencing device according to the control influence relationship and the video content collected by the master influencing device.

[0033] In a third aspect, an electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the non-line-of-sight bridge communication control method based on an outdoor deployment scenario as described in any one of the first aspects above when executing the computer program stored in the memory.

[0034] In a fourth aspect, the present invention further proposes a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the non-line-of-sight bridge communication control method based on an outdoor deployment scenario according to any one of the above items in the first aspect is implemented.

[0035] In summary, the non-line-of-sight bridge communication control method based on outdoor deployment scenarios proposed in the present application obtains scene area division information, position relationship and associated video surveillance device distribution information in the scene to which the bridge belongs, wherein the video surveillance device distribution information includes the correspondence between the monitoring range of the video surveillance device and the scene area; based on the scene area division information, position relationship and associated video surveillance device distribution information, the control influence relationship between all video surveillance devices is determined, wherein each group of control influence relationships includes at least one master control influencing device and at least one controlled influencing device, and the video content collected by the master control influencing device can affect the video acquisition control state and communication control state of the corresponding controlled influencing device; the video acquisition control state and communication control state of the controlled influencing device corresponding to the master control influencing device are determined according to the control influence relationship and the video content collected by the master control influencing device. The method of determining the control influence relationship between all video surveillance devices based on the scene area division information, position relationship and associated video surveillance device distribution information includes: determining a theoretical intrusion path based on the scene area division information and the position relationship, the theoretical intrusion path being the theoretical order in which different scene areas are invaded based on the position relationship when there is an external intrusion event; determining the control influence relationship between all video surveillance devices based on the theoretical intrusion path, so that the scene area corresponding to the main control influencing device in each group of control influence relationships is the scene area that the theoretical intrusion path passes through first compared to the scene area corresponding to the controlled influencing device. The method of determining the video acquisition control state and communication control state of the controlled influencing device corresponding to the master influencing device according to the control influence relationship and the video content collected by the master influencing device includes: analyzing the video content collected by the master influencing device; when the video content collected by the master influencing device shows that there is no intrusion anomaly, executing the energy consumption optimization strategy of the bridge to upload only the video data collected by the master influencing device and switch the network standard of the bridge to wifi6 and lower network standards for data communication; when the video content collected by the master influencing device shows that there is an intrusion anomaly, uploading the video data collected by the master influencing device and the controlled influencing device and switching the network standard of the bridge to wifi7 for data communication. Thus, the communication mode is adjusted dynamically to greatly reduce the power consumption of daily operation. The video acquisition and transmission mechanism is optimized to reduce redundant communication. The monitoring area linkage response is realized to improve the timeliness and reliability of data transmission. In the scenario of network interference and dense equipment, Wi-Fi 7 improves the overall bandwidth and spectrum utilization efficiency.

[0036] The non-line-of-sight bridge communication control method based on outdoor deployment scenarios of the present invention, other advantages, objectives and features of the present invention will be reflected in part through the following description, and in part will also be understood by technicians in this field through research and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present specification. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0038] Figure 1a A schematic diagram of an application scenario of a non-line-of-sight bridge communication control method based on an outdoor deployment scenario provided in an embodiment of the present application;

[0039] Figure 1b A flowchart of a non-line-of-sight bridge communication control method based on an outdoor deployment scenario provided in an embodiment of the present application;

[0040] Figure 2 A schematic diagram of the structure of a non-line-of-sight bridge communication control device based on an outdoor deployment scenario provided in an embodiment of the present application;

[0041] Figure 3 A schematic diagram of the structure of a non-line-of-sight bridge communication control electronic device based on an outdoor deployment scenario provided in an embodiment of the present application. DETAILED DESCRIPTION

[0042] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0043] In order to solve the problem that although new Wi-Fi standards usually take energy efficiency into consideration, higher performance and complexity may also lead to greater energy consumption. Especially for bridge products with outdoor deployment scenarios, the energy consumption of communication products will greatly affect the use effect of bridge products. Figure 1a and Figure 1b , Figure 1bA flowchart of a non-line-of-sight bridge communication control method based on an outdoor deployment scenario provided in an embodiment of the present application may specifically include: steps S110 to S130.

[0044] S110, obtaining scene area division information, position relationship and associated video surveillance equipment distribution information in the scene to which the network bridge belongs, wherein the video surveillance equipment distribution information includes a correspondence between a monitoring range of the video surveillance equipment and the scene area.

[0045] S120, based on the scene area division information, position relationship and associated video surveillance device distribution information, determine the control influence relationship between all video surveillance devices, wherein each group of control influence relationships includes at least one master control influencing device and at least one controlled influencing device, and the video content collected by the master control influencing device can affect the video collection control state and communication control state of the corresponding controlled influencing device.

[0046] S130: Determine a video acquisition control state and a communication control state of a controlled influencing device corresponding to the master influencing device according to the control influence relationship and the video content acquired by the master influencing device.

[0047] It is understandable that the above method combines the intelligent control of video surveillance equipment and the energy consumption management of the bridge, and realizes the dynamic optimization of the wireless communication network through scene perception, determination of the control influence relationship between devices and hierarchical response. The area is divided according to the geographical location and function of the monitoring scene, and the mutual position relationship between the areas is established (for example, the front yard, corridor, door, etc.). Define which areas need priority response through the theoretical intrusion path (that is, the sequential path of possible external intrusion behavior). The monitoring devices in each area determine the role relationship between the master device and the controlled device according to the theoretical path priority. The master device analyzes the video content to determine whether there is an abnormal intrusion. Normal situation: only maintain the minimum network resource usage, the master device collects video uploads, and the bridge is downgraded to Wi-Fi 6 or lower network standards; abnormal situation: the master device links the controlled device to upload more video data, and the bridge is upgraded to Wi-Fi 7 to provide higher transmission rate and reliability. Wi-Fi 6 and Wi-Fi 7 are dynamically switched according to scene requirements. Wi-Fi 7 is suitable for high bandwidth requirements (such as multi-channel video upload, low-latency response), while Wi-Fi 6 meets the low energy consumption requirements of daily monitoring. By reducing redundant data in video acquisition and upload, the active time of the communication module is reduced. The communication standard is dynamically switched to avoid continuous high power consumption operation. Under normal conditions, only the most critical equipment is maintained at the lowest energy consumption.

[0048] Exemplarily, the scene area division information is obtained. For example, a factory area is divided into three parts: "periphery", "internal channel" and "core area". Device A monitors the periphery, device B monitors the internal channel, and device C monitors the core area. Determine the theoretical intrusion path. Assuming that the intrusion starts from the periphery, the theoretical path is: periphery → internal channel → core area. Device relationship definition, A is the master device in the peripheral area, affecting the working status of B and C. B is the master device in the middle area, affecting the working status of C. The master device A collects video and determines whether there is an abnormality based on edge computing or AI detection. If A detects an abnormality, it notifies B and C and activates their high-performance mode (video acquisition frequency and communication bandwidth are increased). If A detects normally, B and C remain in low power mode and only collect video at set intervals. Normal mode: Master device A uploads the video, and the bridge switches to Wi-Fi 6 mode to meet the daily needs of low bandwidth and low latency. For example, under normal circumstances, the 1080P video uploaded by A occupies a small network bandwidth (about 2Mbps). Abnormal mode: The master device A detects an abnormal intrusion, triggering efficient collection and upload of B and C, and the bridge switches to Wi-Fi 7 mode to provide greater bandwidth support. For example: Under abnormal circumstances, three devices A, B, and C upload high-definition video at the same time. The high throughput of Wi-Fi 7 (>10Gbps) ensures real-time data transmission and avoids delays. Daily scenarios: Reduce unnecessary device communication frequency, and the bridge is in Wi-Fi 6 energy-saving mode to reduce power consumption. Abnormal scenarios: Dynamically activate the high-performance communication module (Wi-Fi 7), but only start it when an intrusion is detected to avoid unnecessary high energy consumption.

[0049] In summary, the non-line-of-sight bridge communication control method based on the outdoor deployment scenario provided in the embodiment of the present application obtains the scene area division information, position relationship and associated video surveillance device distribution information in the scene to which the bridge belongs, and the video surveillance device distribution information includes the correspondence between the monitoring range of the video surveillance device and the scene area; based on the scene area division information, position relationship and associated video surveillance device distribution information, the control influence relationship between all video surveillance devices is determined, wherein each group of control influence relationships includes at least one master control influencing device and at least one controlled influencing device, and the video content collected by the master control influencing device can affect the video acquisition control state and communication control state of the corresponding controlled influencing device; the video acquisition control state and communication control state of the controlled influencing device corresponding to the master control influencing device are determined according to the control influence relationship and the video content collected by the master control influencing device. The method of determining the control influence relationship between all video surveillance devices based on the scene area division information, position relationship and associated video surveillance device distribution information includes: determining a theoretical intrusion path based on the scene area division information and the position relationship, the theoretical intrusion path being the theoretical order in which different scene areas are invaded based on the position relationship when there is an external intrusion event; determining the control influence relationship between all video surveillance devices based on the theoretical intrusion path, so that the scene area corresponding to the main control influencing device in each group of control influence relationships is the scene area that the theoretical intrusion path passes through first compared to the scene area corresponding to the controlled influencing device. The method of determining the video acquisition control state and communication control state of the controlled influencing device corresponding to the master influencing device according to the control influence relationship and the video content collected by the master influencing device includes: analyzing the video content collected by the master influencing device; when the video content collected by the master influencing device shows that there is no intrusion anomaly, executing the energy consumption optimization strategy of the bridge to upload only the video data collected by the master influencing device and switch the network standard of the bridge to wifi6 and lower network standards for data communication; when the video content collected by the master influencing device shows that there is an intrusion anomaly, uploading the video data collected by the master influencing device and the controlled influencing device and switching the network standard of the bridge to wifi7 for data communication. Thus, the communication mode is adjusted dynamically to greatly reduce the power consumption of daily operation. The video acquisition and transmission mechanism is optimized to reduce redundant communication. The monitoring area linkage response is realized to improve the timeliness and reliability of data transmission. In the scenario of network interference and dense equipment, Wi-Fi 7 improves the overall bandwidth and spectrum utilization efficiency.

[0050] In some examples, the outdoor deployment scenario includes a master bridge and multiple slave bridges, the master bridge is used to be deployed on the supervision side, and the multiple slave bridges are deployed adjacent to the subordinate video surveillance devices as transmitters for returning video surveillance data, and the method further includes:

[0051] The monitoring video data from multiple transmitting ends of the bridge are transmitted back to the supervision side deployed by the main bridge by time-division multiplexing, wherein the time-division multiplexing order is determined based on the control influence relationship and the video content collected by the main control influence device.

[0052] It is understandable that each slave bridge monopolizes the communication resources of the master bridge according to the set time slice to avoid multiple bridges transmitting data at the same time. The order of time-sharing multiplexing is dynamically adjusted to prioritize the return of important video data according to the real-time status of the monitoring scene. The master device analyzes the video content and determines the priority based on the theoretical intrusion path. High-priority slave bridges obtain earlier or longer time slices in time-sharing multiplexing. When no abnormality is detected, the slave bridges return video data in sequence according to a fixed priority. When an abnormality is detected, the master device notifies the high-priority slave bridge related to the abnormality to occupy the time slice in advance to upload key data.

[0053] Exemplarily, the master bridge (supervision side) is deployed in a central location and is responsible for receiving all data transmitted from the slave bridge and uploading it to the background. The slave bridge (transmitter) is deployed near the monitoring device and connected to the corresponding monitoring device. Each slave bridge is responsible for collecting and uploading data from the local video monitoring device. The time slice design of time-division multiplexing includes: fixed time slice length, for example, 10 time slices per second, and each slave bridge occupies one or more time slices; dynamic time slice allocation. For example, if no abnormality is detected, the time slice is polled and allocated in a preset order to avoid wasting bandwidth resources. If an abnormality is detected, the allocation order is adjusted, and the high-priority slave bridge obtains a larger bandwidth. The priority of the slave bridge in the high-risk area is determined according to the priority of the theoretical intrusion path. For example: the slave bridge data in the peripheral area is returned first, followed by the middle area, and finally the core area. After the master device detects the abnormality, it will place the slave bridge related to the abnormal area at a higher priority. For example, when peripheral device A detects an intrusion, its adjacent slave bridge uploads the video first. The master bridge periodically broadcasts the time slice allocation table, and each slave bridge starts or stops data transmission according to the allocation table. During data transmission, the master bridge monitors bandwidth usage in real time and dynamically adjusts the time slice allocation table. As a result, time-division multiplexing makes the receiving channel of the master bridge free of interference in each time slice, avoids congestion caused by multiple slave bridges competing for bandwidth at the same time, and improves the processing efficiency of the master bridge for the data of each slave bridge. The improvement in bandwidth utilization is reflected in: the signal integrity of the transmitted data is enhanced and the stability of data reception is improved. Since different bridges only transmit data in their allocated time slices, the master bridge can receive the data uploaded by each slave bridge in an environment without signal interference. The direct effect of reduced interference is that the bit error rate of the transmitted data is reduced, further ensuring the quality of the video data. After dynamically adjusting the time slice allocation order, the slave bridge with a high priority can monopolize the time slice to ensure that important data is uploaded at the first time. This priority mechanism reduces the waiting time of key video data in congestion or interference, and improves the response efficiency of abnormal scenarios. Through the exclusive and standby mechanism of the time slice, each slave bridge can switch to low power mode in the non-working time slice to avoid continuous high power consumption operation. Time-division multiplexing also reduces the need for retransmissions due to data conflicts or interference, thereby reducing the overall energy consumption of the system. Under normal circumstances, time-division multiplexing avoids packet loss or retransmissions due to conflicts, and the data transmission success rate is higher. Under abnormal circumstances, the high-priority slave bridge can quickly complete the return of video data to ensure the integrity and timeliness of abnormal data.

[0054] In some examples, the time-division multiplexing problem can be modeled as a convex optimization problem, which can efficiently solve the global optimal solution for time slice allocation.

[0055] Exemplarily, an optimization problem model is established, where the objective function is to maximize the communication performance index, such as total data throughput or link utilization. Constraints include: time slice requirements for each slave bridge (such as high-priority devices require more time slices); fixed total time slice length and channel interference conditions, then maximize the communication performance index: Among them, w i is the priority weight of bridge iii. i (t i ) is the bridge i in time slice t i The communication utility in . Constraints: (total time slice length). Use gradient descent, Lagrange multiplier method or ready-made convex optimization library to quickly solve the optimal time slice allocation. Update the optimization model parameters in real time according to environmental changes (such as new monitoring equipment added or priority changes). Thus, convex optimization ensures that the optimal time slice allocation is found under multiple constraints. Convex optimization solution can still maintain fast convergence in the case of multiple variables.

[0056] In some examples, this also includes:

[0057] During the bridge deployment phase, obtain the planned deployment locations of video surveillance equipment;

[0058] Determine an ideal deployment area of ​​the network bridge corresponding to each video surveillance device based on the planned deployment location;

[0059] Marking the ideal deployment area in map data of the outdoor deployment scene, wherein the map data includes outlines and location information of all fixed obstructions that have an impact on information dissemination;

[0060] Connect different points in different ideal deployment areas where communication is required, select lines to avoid fixed obstructions for bridge deployment, and determine the bridge deployment angle based on the lines and points to align the bridge during the bridge deployment phase.

[0061] It is understandable that based on the location requirements of the monitoring equipment and the distribution of obstructions, the ideal deployment area for each bridge is found to ensure optimal signal propagation conditions. Use map data to mark fixed obstructions (such as buildings, walls, etc.), avoid obstructions in the communication path planning between bridges, and ensure that the signal path is as straight as possible. Adjust the direction of the bridge according to the communication path so that the antenna is aligned with the preset direction to reduce the propagation loss caused by signal deviation.

[0062] Exemplarily, the location of the monitoring equipment determines the coverage of the monitoring area, and its installation point is usually planned in advance based on scenario requirements (such as factory entrance, tunnel key points, and road intersections). Mark the planned deployment location of the monitoring equipment through on-site surveys or map data. For example, three points need to be monitored in the factory: A (entrance), B (outer perimeter of the factory building), and C (internal warehouse). The ideal deployment area is the location with the best signal propagation conditions between the bridge and the monitoring equipment, and factors such as the shortest distance and the least obstructions need to be considered. With the monitoring equipment as the center, the ideal deployment area of ​​the bridge is defined based on the signal coverage radius and propagation characteristics. The ideal area needs to avoid fixed obstructions (such as buildings and trees) in signal propagation. For example, the bridge deployment area corresponding to the monitoring device A (entrance) is defined in the unobstructed area near the entrance, within 10 meters from the device. Fixed obstructions will affect the propagation of wireless signals, such as reflection, diffraction, and attenuation. Marking obstructions in the map data facilitates path avoidance. Obtain map data for the site (which can be obtained through drone scanning, satellite images, or on-site surveys). Mark the outline and location of all fixed obstructions in the map data. For example, mark the factory walls, fences, and trees in the factory map. The path with the best signal propagation performance is straight-line propagation, but fixed obstructions will block or attenuate the signal. Therefore, the communication path needs to avoid obstructions as much as possible. Connect the points between the bridges that need to communicate. According to the map obstruction information, adjust the connection path to avoid obstacles. For example, the straight-line communication path planned between the factory bridges A and B is blocked by the factory wall, and a new path needs to be selected by bypassing the wall. Aligning the antenna direction to the communication path is the key to ensuring signal propagation efficiency, especially when using directional antennas. Adjust the installation angle of the bridge according to the planned path so that it is aligned with the direction of the communication path. By determining the installation angle and position of the bridge in advance in the planning stage, the on-site deployment does not need to use additional tools such as laser alignment instruments. The alignment can be completed by installing it at the preset angle and direction. When planning the bridge, calculate the ideal angle of each bridge relative to the reference point (such as the horizontal angle with the ground and the azimuth with due north) according to the connection direction. During deployment, simply fix the antenna at this angle to achieve signal alignment. Use a simple angle measurement tool (such as an inclinometer or digital goniometer) or an angle ruler to calibrate the installation angle of the bridge. Rely on pre-planned reference points (such as the direction of fixed markers on a map or geographic coordinates) to complete quick calibration. The angle preset and calibration method reduces errors caused by on-site adjustments or laser alignment instrument operations, while shortening deployment time.

[0063] Exemplarily, the ideal deployment area of ​​the bridge and the direction of the communication path are obtained. The installation angle of the bridge is calculated, including the horizontal angle (with the ground plane) and the azimuth (relative to the north direction). For example, assuming that the connection direction of Bridge A and Bridge B is 30° east by north, and the terrain height difference is 10 meters, the connection distance is 50 meters, and the calculated installation angle is: horizontal angle: 11.3° (arctan (10 / 50)). Azimuth: 60° (30° east by north). An angle scale is reserved on the equipment mounting bracket, and the installation angle information is directly engraved on the bracket. The detailed parameters of the equipment installation angle are marked on the construction map or equipment list and provided to the construction personnel. For example, the scale indication on the bracket of Bridge A is: horizontal angle: 11.3°, azimuth: 60°. The installation direction arrow is displayed on the deployment diagram to assist construction personnel in quick positioning. Use simple tools (such as inclinometers and digital goniometers) to confirm whether the horizontal angle is consistent with the preset value. Use a compass or GPS to confirm whether the azimuth is correct. For example, a worker adjusts the bracket tilt angle to 11.3° and uses a compass to adjust the device orientation to 60°. As a result, the laser alignment instrument relies on accurate measurement of the direction between the launch point and the target point, which requires time for on-site debugging. By presetting the angle, the direction calculation is completed directly in the planning stage, avoiding complex on-site adjustments. Improved deployment efficiency: saves the operation time of the laser alignment instrument and shortens the deployment cycle. Reduced equipment dependence: no need to equip expensive alignment equipment, reducing construction costs. The preset angle is based on theoretical calculations in the planning stage, and the error source is more controllable; physical references are used on-site to complete calibration to avoid errors caused by human judgment. Improved installation accuracy and more reliable signal alignment. Reduce the number of adjustments and increase the success rate of one-time deployment. With preset angle information and intuitive markings, on-site construction personnel can directly install in the established direction without complex measurements. Even if construction personnel have no professional measurement experience, they can quickly complete equipment deployment. The overall deployment time is significantly shortened. The need to use a laser alignment instrument is eliminated, and only simple measuring tools are required on-site to complete the installation angle calibration. Reduced material and equipment costs. Reduced manual adjustment processes, saving labor costs.

[0064] In some examples, this also includes:

[0065] Converting a deployment scene into a grayscale image or a depth image, wherein the deployment scene includes point cloud data, wherein occluders are displayed as high-value areas and open areas are displayed as low-value areas;

[0066] Use edge detection algorithms to detect the boundaries of occluders, where the boundary lines are used to define the range of occluders and automatically generate ideal deployment areas without occlusions;

[0067] In the open area outside the boundary, the optimal deployment point is calculated based on the communication requirements.

[0068] It is understandable that the communication requirement may be the shortest distance from the monitoring device, thereby automatically identifying the obstruction and the deployment area without manual judgment. The edge detection algorithm accurately identifies the outline of the obstruction and can avoid the signal attenuation point to the greatest extent. The above edge detection algorithm may be a Canny edge detection algorithm. After the introduction of image processing technology, the boundary of the obstruction can be automatically identified, the ideal deployment area can be quickly determined, and manual participation and judgment errors can be reduced.

[0069] See also Figure 2 , an embodiment of the non-line-of-sight bridge communication control device based on an outdoor deployment scenario in the embodiment of the present application may include:

[0070] An acquisition unit 21 is used to acquire scene area division information, position relationship and associated video surveillance equipment distribution information in the scene to which the network bridge belongs, wherein the video surveillance equipment distribution information includes a corresponding relationship between a monitoring range of the video surveillance equipment and the scene area;

[0071] A determination unit 22 is used to determine the control influence relationship between all video surveillance devices based on the scene area division information, the position relationship and the associated video surveillance device distribution information, wherein each group of control influence relationships includes at least one master control influencing device and at least one controlled influencing device, and the video content collected by the master control influencing device can affect the video collection control state and communication control state of the corresponding controlled influencing device;

[0072] The communication control unit 23 is used to determine the video acquisition control state and the communication control state of the controlled influencing device corresponding to the master influencing device according to the control influence relationship and the video content acquired by the master influencing device.

[0073] In summary, the non-line-of-sight bridge communication control device based on the outdoor deployment scenario provided in the embodiment of the present application obtains the scene area division information, position relationship and associated video surveillance equipment distribution information in the scene to which the bridge belongs, and the video surveillance equipment distribution information includes the correspondence between the monitoring range of the video surveillance equipment and the scene area; based on the scene area division information, position relationship and associated video surveillance equipment distribution information, the control influence relationship between all video surveillance devices is determined, wherein each group of control influence relationships includes at least one master control influencing device and at least one controlled influencing device, and the video content collected by the master control influencing device can affect the video acquisition control state and communication control state of the corresponding controlled influencing device; the video acquisition control state and communication control state of the controlled influencing device corresponding to the master control influencing device are determined according to the control influence relationship and the video content collected by the master control influencing device. The method of determining the control influence relationship between all video surveillance devices based on the scene area division information, position relationship and associated video surveillance device distribution information includes: determining a theoretical intrusion path based on the scene area division information and the position relationship, the theoretical intrusion path being the theoretical order in which different scene areas are invaded based on the position relationship when there is an external intrusion event; determining the control influence relationship between all video surveillance devices based on the theoretical intrusion path, so that the scene area corresponding to the main control influencing device in each group of control influence relationships is the scene area that the theoretical intrusion path passes through first compared to the scene area corresponding to the controlled influencing device. The method of determining the video acquisition control state and communication control state of the controlled influencing device corresponding to the master influencing device according to the control influence relationship and the video content collected by the master influencing device includes: analyzing the video content collected by the master influencing device; when the video content collected by the master influencing device shows that there is no intrusion anomaly, executing the energy consumption optimization strategy of the bridge to upload only the video data collected by the master influencing device and switch the network standard of the bridge to wifi6 and lower network standards for data communication; when the video content collected by the master influencing device shows that there is an intrusion anomaly, uploading the video data collected by the master influencing device and the controlled influencing device and switching the network standard of the bridge to wifi7 for data communication. Thus, the communication mode is adjusted dynamically to greatly reduce the power consumption of daily operation. The video acquisition and transmission mechanism is optimized to reduce redundant communication. The monitoring area linkage response is realized to improve the timeliness and reliability of data transmission. In the scenario of network interference and dense equipment, Wi-Fi 7 improves the overall bandwidth and spectrum utilization efficiency.

[0074] like Figure 3As shown, the embodiment of the present application further provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 320 and executable on the processor. When the processor 320 executes the computer program 311, the steps of any method of non-line-of-sight bridge communication control based on an outdoor deployment scenario are implemented:

[0075] Obtain scene area division information, position relationship and associated video surveillance equipment distribution information in the scene to which the network bridge belongs, wherein the video surveillance equipment distribution information includes a corresponding relationship between a monitoring range of the video surveillance equipment and the scene area;

[0076] Based on the scene area division information, position relationship and associated video surveillance device distribution information, determine the control influence relationship between all video surveillance devices, wherein each group of control influence relationships includes at least one master control influencing device and at least one controlled influencing device, and the video content collected by the master control influencing device can affect the video collection control state and communication control state of the corresponding controlled influencing device;

[0077] The video acquisition control state and the communication control state of the controlled influencing device corresponding to the master influencing device are determined according to the control influence relationship and the video content collected by the master influencing device.

[0078] Since the electronic device introduced in this embodiment is a device used to implement a non-line-of-sight bridge communication control device based on an outdoor deployment scenario in the embodiment of the present application, based on the method introduced in the embodiment of the present application, technical personnel in this field can understand the specific implementation mode of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of the present application is not introduced in detail here. As long as the equipment used by technical personnel in this field to implement the method in the embodiment of the present application is within the scope of protection of this application.

[0079] In a specific implementation process, when the computer program 311 is executed by a processor, any implementation method of the embodiment corresponding to FIG. 1 can be implemented:

[0080] Obtain scene area division information, position relationship and associated video surveillance equipment distribution information in the scene to which the network bridge belongs, wherein the video surveillance equipment distribution information includes a corresponding relationship between a monitoring range of the video surveillance equipment and the scene area;

[0081] Based on the scene area division information, position relationship and associated video surveillance device distribution information, determine the control influence relationship between all video surveillance devices, wherein each group of control influence relationships includes at least one master control influencing device and at least one controlled influencing device, and the video content collected by the master control influencing device can affect the video collection control state and communication control state of the corresponding controlled influencing device;

[0082] The video acquisition control state and the communication control state of the controlled influencing device corresponding to the master influencing device are determined according to the control influence relationship and the video content collected by the master influencing device.

[0083] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0084] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0085] The present application is described with reference to the flowchart and / or block diagram of the method, device (system) and computer program product according to the embodiment of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, and the combination of the process and / or box in the flowchart and / or block diagram can be realized by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for realizing the function specified in one process or multiple processes in the flowchart and / or one box or multiple boxes in the block diagram.

[0086] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device that implements the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0087] These computer program instructions may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0088] An embodiment of the present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device executes the process of non-line-of-sight bridge communication control based on an outdoor deployment scenario as shown in the embodiment corresponding to Figure 1.

[0089] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or a data center that includes one or more available media integration. The available medium can be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)), etc.

[0090] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

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

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

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

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

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

Claims

1. A non-line-of-sight bridge communication control method based on outdoor deployment scenarios, characterized in that: include: Obtain scene area division information, position relationship and associated video surveillance equipment distribution information in the scene to which the network bridge belongs, wherein the video surveillance equipment distribution information includes a corresponding relationship between a monitoring range of the video surveillance equipment and the scene area; Based on the scene area division information, position relationship and associated video surveillance device distribution information, determine the control influence relationship between all video surveillance devices, wherein each group of control influence relationships includes at least one master control influencing device and at least one controlled influencing device, and the video content collected by the master control influencing device can affect the video collection control state and communication control state of the corresponding controlled influencing device; The video acquisition control state and the communication control state of the controlled influencing device corresponding to the master influencing device are determined according to the control influence relationship and the video content collected by the master influencing device.

2. The method according to claim 1, characterized in that The determining of the control influence relationship between all video surveillance devices based on the scene area division information, the position relationship and the associated video surveillance device distribution information includes: Determine a theoretical intrusion path based on the scene area division information and the position relationship, wherein the theoretical intrusion path is a theoretical order in which different scene areas are invaded based on the position relationship when an external intrusion event occurs; The control influence relationship between all video surveillance devices is determined according to the theoretical intrusion path, so that the scene area corresponding to the main control influence device in each group of control influence relationships is the scene area that the theoretical intrusion path passes through first compared to the scene area corresponding to the controlled influence device.

3. The method according to claim 2, characterized in that The step of determining the video acquisition control state and the communication control state of the controlled influencing device corresponding to the master influencing device according to the control influence relationship and the video content acquired by the master influencing device includes: Analyze the video content collected by the main control device; When the video content collected by the master control influencing device shows that there is no intrusion anomaly, the energy consumption optimization strategy of the bridge is executed to upload only the video data collected by the master control influencing device and switch the network standard of the bridge to wifi6 and lower network standards for data communication; When the video content collected by the master influencing device shows that there is an intrusion anomaly, the video data collected by the master influencing device and the controlled influencing device are uploaded and the network standard of the bridge is switched to wifi7 for data communication.

4. The method according to any one of claims 1 to 3, characterized in that The outdoor deployment scenario includes a master bridge and multiple slave bridges, the master bridge is used to be deployed on the supervision side, and the multiple slave bridges are deployed adjacent to the subordinate video surveillance devices as transmitting ends for returning video surveillance data. The method also includes: The monitoring video data from multiple transmitting ends of the slave bridge is transmitted back to the supervisory side of the main bridge deployment by time division multiplexing.

5. The method according to claim 4, characterized in that The time-division multiplexing order is determined based on the control influence relationship and the video content collected by the master control influence device.

6. The method according to claim 1, characterized in that Also includes: During the bridge deployment phase, obtain the planned deployment locations of video surveillance equipment; Determine an ideal deployment area of ​​the network bridge corresponding to each video surveillance device based on the planned deployment location; Marking the ideal deployment area in map data of the outdoor deployment scene, wherein the map data includes outlines and location information of all fixed obstructions that have an impact on information dissemination; Connect different points in different ideal deployment areas where communication is required, select lines to avoid fixed obstructions for bridge deployment, and determine the bridge deployment angle based on the lines and points to align the bridge during the bridge deployment phase.

7. The method according to claim 6, characterized in that Also includes: Converting a deployment scene into a grayscale image or a depth image, wherein the deployment scene includes point cloud data, wherein occluders are displayed as high-value areas and open areas are displayed as low-value areas; Use edge detection algorithms to detect the boundaries of occluders, where the boundary lines are used to define the range of occluders and automatically generate ideal deployment areas without occlusions; In the open area outside the boundary, the optimal deployment point is calculated based on the communication requirements.

8. A non-line-of-sight bridge communication control device based on an outdoor deployment scenario, characterized in that: include: An acquisition unit, used to acquire scene area division information, position relationship and associated video surveillance equipment distribution information in the scene to which the network bridge belongs, wherein the video surveillance equipment distribution information includes a corresponding relationship between a monitoring range of the video surveillance equipment and the scene area; A determination unit, configured to determine the control influence relationship between all video surveillance devices based on the scene area division information, the position relationship and the associated video surveillance device distribution information, wherein each group of control influence relationships includes at least one master control influencing device and at least one controlled influencing device, and the video content collected by the master control influencing device can affect the video collection control state and communication control state of the corresponding controlled influencing device; The communication control unit is used to determine the video acquisition control state and communication control state of the controlled influencing device corresponding to the master influencing device according to the control influence relationship and the video content collected by the master influencing device.

9. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the non-line-of-sight bridge communication control method based on an outdoor deployment scenario as described in any one of claims 1 to 7 when executing the computer program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the non-line-of-sight bridge communication control method based on an outdoor deployment scenario is implemented as described in any one of claims 1 to 7.

Images