Prefabricated intelligent cable trench
By installing intelligent sensors and monitoring units in the cable trench, comprehensive monitoring and evaluation of vibration, acceleration and displacement is achieved, and the problem of difficulty in distinguishing between normal and abnormal vibration in traditional systems is solved, and the safety monitoring capability and risk assessment accuracy of the cable trench are improved.
Patent Information
- Application Number
- CN202510110210.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-23
- Publication Date
- 2025-05-23
AI Technical Summary
Traditional cable trench vibration monitoring systems are difficult to accurately distinguish vibration from abnormal conditions under normal operating conditions, which can easily cause false alarms or missed alarms, and fail to comprehensively evaluate the potential harm of external shocks or transient events to the system.
A prefabricated intelligent cable trench was designed, and by installing intelligent landmarks, intelligent signs, monitoring units and intelligent manhole covers in the cable trench, wireless connection is achieved using CAT-1 communication method, combining vibration sensors, acceleration sensors and Beidou displacement sensors for comprehensive monitoring, and abnormal signal evaluation and video monitoring are performed through the data analysis module and the video scheduling module.
A more comprehensive and accurate risk assessment of the cable trench system is achieved, the sensitivity to response to sudden impacts is improved, the stability and effectiveness of monitoring is enhanced, the generation of blind spots is avoided, and the safety monitoring capability of the cable trench is improved.
Smart Images
Figure CN120033613A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the field of electronic information technology, in particular to a prefabricated intelligent cable trench. Background Art
[0002] In modern industrial environments, it is essential to ensure the safety and reliability of critical infrastructure. As an important part of the power transmission system, cable trenches are responsible for connecting various electrical equipment and facilities. Traditional cable trench designs often focus on physical protection, such as basic functions such as waterproofing and fire prevention, while the status monitoring of internal cables and their ancillary equipment is relatively weak. With the advancement of technology and the improvement of safety standards, especially in the face of complex and changing working environments - including but not limited to continuous vibrations generated by the operation of mechanical equipment, accidental vibrations caused by external factors, and other unforeseen external shocks or sudden vibration events - traditional vibration monitoring systems have exposed a series of limitations.
[0003] These systems find it difficult to accurately distinguish between vibrations under normal operating conditions and abnormal conditions, which can easily lead to false alarms or missed alarms. They are usually limited to monitoring vibration intensity and duration, and fail to fully assess the potential hazards of external shocks or transient events to the system. Therefore, a prefabricated intelligent cable trench is designed. Summary of the invention
[0004] The purpose of the present invention is to provide a prefabricated intelligent cable trench to solve the problem raised in the above-mentioned background technology that it is difficult to accurately distinguish between vibrations under normal operating conditions and abnormal conditions, which easily leads to false alarms or missed alarms, and is usually limited to monitoring vibration intensity and duration, and fails to fully evaluate the potential hazards of external shocks or transient events to the system.
[0005] To achieve the above object, the present invention provides a prefabricated intelligent cable trench, including a cable trench body arranged below the ground, wherein the cable trench body is opened below the ground, and intelligent landmarks, intelligent signboards, monitoring units and intelligent manhole covers are installed above the ground, wherein the intelligent landmarks, monitoring units and intelligent manhole covers are all wirelessly connected to a central control unit via a CAT-1 communication method; the intelligent signboard is wirelessly connected to the monitoring unit via a CAT-1 communication method; The intelligent landmark is used to collect surrounding environmental parameters in real time and transmit the data to the monitoring unit; A vibration sensor is installed at the bottom of the smart sign, an acceleration sensor is installed in the middle area of the smart sign, and a Beidou displacement sensor is installed on the top of the smart sign. The vibration sensor, the acceleration sensor and the Beidou displacement sensor are used to jointly monitor whether there are activities that affect the safety of the cable trench body in the surrounding area. If an abnormal situation is detected, a first priority abnormal signal and a second priority abnormal signal are generated and transmitted to the monitoring unit; The monitoring unit is used to immediately start video monitoring and warning lights upon receiving a first-priority abnormality signal, and transmit real-time video streams and alarm information to the central control unit; upon receiving a second-priority abnormality signal, first evaluate the second-priority abnormality signal, and then choose whether to perform real-time monitoring of the site, continuously collect data from the smart signboard during the monitoring process, and transmit the real-time monitored video and data to the central control unit; The smart manhole cover is used to detect the state of the manhole cover itself and has a built-in anti-theft device. Once the manhole cover is moved without authorization, an alarm is triggered and transmitted to the central control unit; The central control unit is used to receive real-time data and alarm information transmitted from smart landmarks, monitoring units and smart manhole covers, and analyze the collected information to identify potential safety hazards or abnormal conditions, and then trigger corresponding early warning mechanisms; the central control unit also supports remote access functions, allowing staff to view and adjust the parameters of the monitoring unit and smart manhole covers.
[0006] As a further improvement of the technical solution, at least a water level sensor, a drain pipe, a thermometer and a hygrometer, a cable joint status monitoring device, an axial flow fan, an intelligent fire extinguishing device and a harmful gas detector are installed in the main body of the cable trench.
[0007] As a further improvement of the technical solution, a solar panel is fixedly installed on the top of the smart signboard, and the solar panel can provide power for the Beidou displacement sensor.
[0008] As a further improvement of the technical solution, the smart sign includes a data analysis module, which collects data on vibration intensity provided by the vibration sensor, acceleration data provided by the acceleration sensor, and displacement information provided by the Beidou displacement sensor in real time, and processes and analyzes the collected data. The specific analysis process is as follows: Determine whether the displacement fluctuation monitored by the Beidou displacement sensor exceeds the displacement safety threshold range; if the displacement fluctuation monitored by the Beidou displacement sensor exceeds the displacement safety threshold range, generate a first priority abnormal signal and transmit it to the monitoring unit; if the displacement fluctuation monitored by the Beidou displacement sensor does not exceed the displacement safety threshold range, continue to monitor and analyze the data of the vibration sensor and acceleration sensor, and introduce external shock and vibration factors in the analysis process for optimization, and then determine whether the data is abnormal. If abnormal, generate a second priority abnormal signal.
[0009] As a further improvement of the technical solution, the data analysis module continuously monitors and analyzes the data of the vibration sensor and the acceleration sensor. The steps are to introduce the data collected by the acceleration sensor into the collected data of the vibration sensor, generate a vibration intensity factor, and then combine it with the vibration duration to form a comprehensive score, specifically: ; in, is the vibration intensity factor; is the vibration amplitude of the vibration sensor; is the maximum observed value of the vibration amplitude; is the acceleration recorded by the accelerometer; The maximum observed value of acceleration; is the weighting coefficient of vibration amplitude; is the weighting coefficient of acceleration; ; in, is the vibration duration factor; is the actual vibration duration; is the maximum duration threshold set; ; ; in, To generate a comprehensive risk score; is the weighting coefficient of vibration intensity factor and duration factor; For the pulse effect; is the weighting coefficient of the pulse effect.
[0010] As a further improvement of the technical solution, the data analysis module introduces the influencing factors of external impact and vibration during the analysis process for optimization to determine whether the data is abnormal, as follows: ; in, is the impact factor; is the acceleration sensor at time acceleration; is the acceleration sensor at time acceleration; is the acceleration amplitude weight coefficient; is the frequency weight coefficient; is the highest frequency detected in the acceleration signal; is the reference frequency of normal vibration; is the impact duration weight coefficient; is the impact duration; ; in, is the optimized vibration intensity factor; is the vibration amplitude of the vibration sensor; is the maximum observed value of the vibration amplitude; is the acceleration recorded by the accelerometer; The maximum observed value of acceleration; is the weighting coefficient of vibration amplitude; is the weighting coefficient of acceleration; ; in, is the optimized vibration duration factor; is the weighting coefficient of the impact factor to the duration factor; ; in is the optimized comprehensive risk score; is the weighting coefficient of the impact factor; Finally, if the comprehensive risk score If the score exceeds the preset threshold, a second priority abnormality signal is generated.
[0011] As a further improvement of the present technical solution, the monitoring unit includes a classification decision module, a video scheduling module, an alarm response module and several cameras; wherein the classification decision module is used to analyze the second priority abnormal signal based on preset evaluation rules to determine whether to start the video scheduling module; the video scheduling module is used to retrieve the real-time video stream of the corresponding camera according to demand, estimate the target tracking score in the process of retrieving the video stream to determine whether to adjust the camera viewing angle, and feed back the real-time video stream on site to the central control unit; the alarm response module is synchronized with the video scheduling module. If the video scheduling module is started, the first priority abnormal signal and the second abnormal priority signal are alarm processed, and the alarm information is transmitted to the central control unit.
[0012] As a further improvement of this technical solution, the classification decision module is specifically: When a second priority abnormal signal is received, the duration and intensity of the abnormal signal are evaluated again by the data analysis module in the smart sign after a preset delay time. If the second priority abnormal signal continues to exist, the video scheduling module is started. After starting the video scheduling module, the second priority abnormal signal is continuously monitored. If the second priority abnormal signal disappears, the video scheduling module is turned off.
[0013] As a further improvement of the present technical solution, the video scheduling module calls the real-time video stream of the corresponding camera according to demand specifically: calling the camera at the corresponding position is determined according to the position of the first priority abnormal signal and the position of the second priority abnormal signal.
[0014] As a further improvement of the technical solution, the video scheduling module estimates the target tracking score during the process of retrieving the video stream to determine whether to adjust the camera viewing angle, specifically: in, score target tracking; is the target exercise intensity; is the weight of the target exercise intensity; is the offset angle between the target and the camera’s line of sight; is the weight of the offset angle between the target and the camera's line of sight; is the distance from the target to the camera; is the weight of the distance from the target to the camera; ; in, For the Cameras at time The viewing angle adjustment function; For the Object tracking scores for each camera; The weights used to score the target tracking; For the Cameras at time The distance from the target to the camera; is the maximum effective monitoring distance of the camera; is the weight of the target distance; For the Cameras at time The offset angle of the target relative to the current camera viewing angle; For the Cameras; is the weight of the target angle; when Exceeds a preset threshold , it means that the camera's viewing angle needs to be adjusted, otherwise the current viewing angle remains unchanged.
[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. In this prefabricated intelligent cable trench, by introducing the impact factor to optimize the vibration intensity factor and the vibration duration factor, the impact of external vibration or impact on the system can be more comprehensively considered, making the system more sensitive to sudden impacts, thereby improving the overall risk assessment accuracy.
[0016] 2. In this prefabricated intelligent cable trench, the target tracking score and the spatial location information of the target are combined to comprehensively evaluate whether the camera's viewing angle needs to be adjusted, rather than relying solely on a single factor. When the viewing angle adjustment is triggered, the camera will re-aim the target to ensure that the target is always within the camera's field of view. This flexible camera management method greatly improves the stability and effectiveness of monitoring, avoids the creation of blind spots, improves the safety monitoring capabilities of the cable trench, and ensures the safety of equipment and personnel. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] Figure 1 A mechanical diagram of the present invention as a whole; Figure 2 It is a system flow chart of the whole of the present invention; The meaning of each number in the figure is: 1. Cable trench body; 2. Ground; 3. Smart landmark; 4. Smart signboard; 41. Data analysis module; 5. Monitoring unit; 51. Classification decision module; 52. Video dispatch module; 53. Alarm response module; 6. Smart manhole cover; 7. Central control unit. DETAILED DESCRIPTION
[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0019] Example See also Figure 1-2 As shown, a prefabricated intelligent cable trench is provided, including a cable trench body 1 arranged below the ground 2, the cable trench body 1 is opened below the ground 2, and an intelligent landmark 3, an intelligent signboard 4, a monitoring unit 5 and an intelligent manhole cover 6 are installed above the ground 2, and the intelligent landmark 3, the monitoring unit 5 and the intelligent manhole cover 6 are all wirelessly connected to the central control unit 7 through the CAT-1 communication method; the intelligent signboard 4 and the monitoring unit 5 are wirelessly connected through the CAT-1 communication method; Among them, at least a water level sensor, a drain pipe, a thermometer and hygrometer, a cable joint status monitoring device, an axial flow fan, an intelligent fire extinguishing device and a harmful gas detector are installed in the main body 1 of the cable trench. The water level sensor and the drain pipe ensure timely drainage to prevent water accumulation from affecting the normal operation of the cable; the thermometer and hygrometer help monitor environmental conditions to ensure that the cable equipment operates in the best working environment; the cable joint status monitoring device can detect the health of the cable joint in real time to prevent fire or short circuit caused by joint failure; the axial flow fan effectively regulates air circulation to avoid overheating; the intelligent fire extinguishing device can automatically start in the event of a fire and quickly extinguish the fire source; the harmful gas detector ensures timely alarm when harmful gases appear in the cable trench to prevent endangerment to personnel and equipment safety. Overall, the comprehensive application of these devices can greatly improve the intelligence, safety and emergency response capabilities of the cable trench.
[0020] The intelligent landmark 3 is used to collect the surrounding environmental parameters in real time and transmit the data to the monitoring unit 5; the intelligent landmark 3 is generally installed on both sides or the top edge of the cable trench and arranged along the direction of the cable trench to help accurately locate the position of the cable trench, especially after the ground is covered or greened. It can also provide navigation guidance for construction personnel to quickly find the location that needs maintenance or operation.
[0021] A vibration sensor is installed at the bottom of the smart sign 4, an acceleration sensor is installed in the middle area of the smart sign 4, and a Beidou displacement sensor is installed on the top of the smart sign 4. The vibration sensor, the acceleration sensor and the Beidou displacement sensor are used to jointly monitor whether there are activities that affect the safety of the cable trench body 1 in the surrounding area. If an abnormal situation is detected, a first priority abnormal signal and a second priority abnormal signal are generated and transmitted to the monitoring unit 5; Beidou displacement sensor (GNSS module) is usually used to obtain the location information of the device in real time. It requires a suitable antenna, which is usually placed on the top or outside of the sign to ensure that the signal from the satellite can be received. Beidou displacement sensor reduces its burden on the battery by combining solar power supply; Accelerometers can detect the acceleration changes of objects in three-dimensional space and are widely used in vibration monitoring, tilt detection, mobile tracking, etc. Due to their small size, low power consumption and relatively low cost, they are suitable for integration into smart signboards, because accelerometers usually need to be placed in a stable position to avoid interference from external vibrations. Generally speaking, it is ideal to integrate into the middle area of the signboard, and considering the influence of the external environment, accelerometers usually require waterproof and dustproof housings to ensure reliability in various climatic conditions; Pressed sheet vibration sensors are sensors based on the piezoelectric effect, and are usually used to detect dynamic events such as vibration and shock. They are small in size, fast in response, and can detect small vibration changes. Pressed sheet vibration sensors need to be installed where the vibration source can be sensed, usually integrated into the base or external frame of the sign to ensure that the vibration can be effectively detected; A solar panel is fixedly installed on the top of the smart sign 4, and the solar panel can power the Beidou displacement sensor; The smart sign 4 includes a data analysis module 41, which collects data on vibration intensity provided by the vibration sensor, acceleration data provided by the acceleration sensor, and displacement information provided by the Beidou displacement sensor in real time, and processes and analyzes the collected data. The specific analysis process is as follows: Determine whether the displacement fluctuation monitored by the Beidou displacement sensor exceeds the displacement safety threshold range; if the displacement fluctuation monitored by the Beidou displacement sensor exceeds the displacement safety threshold range, generate a first priority abnormal signal and transmit it to the monitoring unit 5; if the displacement fluctuation monitored by the Beidou displacement sensor does not exceed the displacement safety threshold range, continue to monitor and analyze the data of the vibration sensor and the acceleration sensor, and introduce the influencing factors of external shock and vibration in the analysis process for optimization, and then determine whether the data is abnormal, and if it is abnormal, generate a second priority abnormal signal; Continuously monitor and analyze the data from the vibration sensor and acceleration sensor. The steps are to introduce the data collected by the acceleration sensor into the data collected by the vibration sensor, generate a vibration intensity factor, and then combine it with the vibration duration to form a comprehensive score, specifically: ; in, is the vibration intensity factor; is the vibration amplitude of the vibration sensor; is the maximum observed value of the vibration amplitude; is the acceleration recorded by the accelerometer; The maximum observed value of acceleration; is the weighting coefficient of vibration amplitude; is the weighting coefficient of acceleration; ; in, is the vibration duration factor; is the actual vibration duration; is the maximum duration threshold set for normalizing the duration factor; ; ; in, is the comprehensive risk score, reflecting the threat level of vibration events to the cable trench; are the weighting coefficients of the vibration intensity factor and the duration factor; is the pulse effect, which is the sudden effect of the instantaneous acceleration change calculated based on the acceleration sensor data; is the weighting coefficient of the pulse effect, usually , used to enhance the impact of sudden acceleration changes on safety; the operation of nearby mechanical equipment (such as motors, air conditioners, compressors, etc.) may generate low-frequency or high-frequency noise, and these noise signals may be misinterpreted by the vibration sensor as normal vibration patterns. The pulse effect removes the noise in the normal working state according to the frequency analysis result and enhances the impact of abnormal vibration. The frequency range of the vibration signal can be calculated to determine whether it contains the noise frequency components generated by mechanical equipment.
[0022] Severe external impacts or sudden vibrations (such as collisions, drops, or human sabotage, etc.) may cause the sensor to output abnormal signals or even damage the sensor. Therefore, an impact detection model is introduced into the algorithm to filter out abnormal instantaneous signals in a timely manner During the analysis process, the influencing factors of external impacts and vibrations are introduced for optimization to judge whether the data is abnormal, as follows: ; Among them, is the impact factor; is the acceleration of the acceleration sensor at time ; is the acceleration of the acceleration sensor at time ; is the acceleration amplitude weight coefficient, controlling the contribution of acceleration to the impact factor; is the frequency weight coefficient, controlling the contribution of frequency change to the impact factor; is the highest frequency detected in the acceleration signal; is the reference frequency of normal vibration; is the impact duration weight coefficient, controlling the contribution of impact duration to the impact factor; is the impact duration, representing the time length of the impact event; Mutation rate: is used to capture the speed of acceleration change, reflecting the acceleration mutation brought by external impacts. A large change rate usually corresponds to a stronger impact; Acceleration amplitude: is used to reflect the ratio of the current acceleration amplitude to the maximum observed value. If the acceleration amplitude is large, it indicates a stronger impact.
[0023] Frequency characteristics: The frequency characteristics of the impact signal are captured by comparing the ratio of the highest detected frequency to the normal vibration frequency. The impact signal usually has a higher frequency, so when the frequency ratio is larger, the impact factor will increase.
[0024] Duration: It is used to capture the duration of the shock, reflecting the long-term impact of the shock event on the system. Usually, the shock event is short-lived and therefore small, but for long-term high-intensity shocks, the weight of this item can be increased.
[0025] The vibration intensity factor reflects the intensity of the vibration event and is usually determined by the vibration amplitude and acceleration amplitude. After the impact factor is introduced, the presence of the impact may cause a sudden increase in the vibration amplitude and acceleration, thus affecting the assessment of the vibration intensity. Therefore, we can adjust the weight of the vibration intensity by introducing the impact factor into the formula of the vibration intensity factor: ; in, is the optimized vibration intensity factor; is the vibration amplitude of the vibration sensor; is the maximum observed value of the vibration amplitude; is the acceleration recorded by the accelerometer; The maximum observed value of acceleration; is the weighting coefficient of vibration amplitude; is the weighting coefficient of acceleration; The vibration duration factor reflects the potential threat of the vibration duration to the system. When there is an external shock, the vibration duration may be affected. The shock may prolong the vibration duration, or the vibration may dissipate quickly after the shock ends. In order to reflect the impact of the shock on the duration, we can combine the shock factor with the duration factor: ; in, is the optimized vibration duration factor; is the weighting coefficient of the impact factor on the duration factor, which controls the impact of the impact factor on the duration; When the shock factor is large, it means that the impact of external vibration is strong, and the vibration intensity factor will be amplified. Specifically, the shock factor will increase , thereby enhancing the assessment of vibration intensity. This can more accurately reflect the sudden impact of impact events on vibration intensity; The impact factor on the duration of vibration is mainly reflected in the extension or aggravation of the duration. If the impact causes the vibration duration to increase, or the vibration continues after the impact ends, the impact factor will increase. , thereby adjusting the value of the duration factor; ; in is the optimized comprehensive risk score; is the weighting coefficient of the impact factor; By introducing the impact factor to optimize the vibration intensity factor and vibration duration factor, we can more comprehensively consider the impact of external vibration or impact on the system. The introduction of the impact factor can make the system more sensitive to sudden impacts, thereby improving the overall risk assessment accuracy. In practical applications, this optimization scheme can help the system better assess the safety of cable trenches or other structures in a vibration environment, especially the potential risks in dealing with external impacts.
[0026] Finally, if the comprehensive risk score If the score exceeds the preset threshold, a second priority abnormality signal is generated.
[0027] The monitoring unit 5 is used to immediately start video monitoring and warning lights upon receiving a first priority abnormal signal, and transmit real-time video streams and alarm information to the central control unit 7. Upon receiving a second priority abnormal signal, the monitoring unit 5 first evaluates the second priority abnormal signal, and then chooses whether to perform real-time monitoring on the site. During the monitoring process, the data of the smart sign 4 is continuously collected, and the real-time monitoring video and data are transmitted to the central control unit 7; The monitoring unit 5 includes a classification decision module 51, a video scheduling module 52, an alarm response module 53 and a plurality of cameras; wherein the classification decision module 51 is used to analyze the second priority abnormal signal based on a preset evaluation rule, so as to determine whether to start the video scheduling module 52; the video scheduling module 52 is used to retrieve the real-time video stream of the corresponding camera according to demand, estimate the target tracking score in the process of retrieving the video stream to determine whether to adjust the camera viewing angle, and feed back the real-time video stream on site to the central control unit 7; the alarm response module 53 is synchronized with the video scheduling module 52. If the video scheduling module 52 is started, the first priority abnormal signal and the second abnormal priority signal are alarmed, and the alarm information is transmitted to the central control unit 7; The classification decision module 51 is specifically: When a second priority abnormal signal is received, the duration and intensity of the abnormal signal are evaluated again by the data analysis module 41 in the smart sign 4 after a preset delay time. If the second priority abnormal signal continues to exist, the video scheduling module 52 is started. After the video scheduling module 52 is started, the second priority abnormal signal is continuously monitored. If the second priority abnormal signal disappears, the video scheduling module 52 is turned off. In the case where the abnormal signal is not confirmed or is unstable, immediately activating the video scheduling module 52 may waste monitoring resources (such as camera bandwidth and storage space). Through delayed evaluation and continuous monitoring, video monitoring is only initiated when the second-priority abnormal signal persists, ensuring that the activation of the video scheduling module 52 is necessary, thereby improving the efficiency of resource utilization; After receiving the second-priority abnormal signal, by delaying the evaluation of the signal duration and intensity, it is possible to avoid unnecessary activation of video monitoring caused by short-term, occasional signal fluctuations or errors. By reconfirming the authenticity of the abnormal signal through the data analysis module 41 in the intelligent sign 4, it is ensured that only truly persistent abnormalities will trigger a higher-priority response (i.e., video scheduling). This method improves the accuracy of the system's response to abnormal signals and avoids false alarms and misoperations; Generally speaking, the strategy of delayed evaluation and continuous monitoring enables the system to dynamically respond to abnormal signals rather than simply relying on the initial abnormal reports. Through multiple evaluations of the signals, it is possible to reduce misjudgments caused by external interferences (such as mechanical equipment noise, temporary vibrations, etc.), improving the stability and reliability of the entire system.
[0028] Specifically, the real-time video stream of the corresponding camera is retrieved according to the demand in the video scheduling module 52: The cameras at the corresponding positions are called based on the positions of the first-priority abnormal signal and the second-priority abnormal signal.
[0029] During the process of retrieving the video stream in the video scheduling module 52, the target tracking score is estimated to determine whether to adjust the camera perspective, specifically: Among them, is the target tracking score; is the target motion intensity, which reflects the speed or motion amplitude of the target and is usually calculated using the optical flow method or other motion estimation methods; is the weight of the target motion intensity, and this weight value can be adjusted according to application requirements. Usually, when the target motion intensity is high, the camera needs to perform more precise tracking; is the offset angle between the target and the camera line of sight, which reflects whether the target is outside the camera's field of view. The larger the angle, the farther the target deviates from the line of sight; is the weight of the offset angle between the target and the camera line of sight, which reflects the degree to which the target deviates from the line of sight. If the target deviates far from the line of sight, it may be necessary to adjust the camera's perspective; is the distance from the target to the camera, which affects the camera's perspective adjustment and tracking accuracy; is the weight of the distance from the target to the camera. The closer the target is to the camera, the higher the required adjustment accuracy of the camera may be. Usually, a larger distance will reduce the necessity of adjustment; ; Among them, is the viewing angle adjustment function of the th camera at time ; is the target tracking score of the th camera; is the weight of the target tracking score; is the distance from the target to the th camera at time ; is the maximum effective monitoring distance of the camera, which is used to standardize the influence of the target distance; is the weight of the target distance; is the offset angle of the target relative to the current camera viewing angle of the th camera at time ; is the th camera; is the weight of the target angle; When exceeds a certain preset threshold , it means that the viewing angle of the camera needs to be adjusted, otherwise the current viewing angle remains unchanged.
[0030] Combining the target tracking score and the spatial position information of the target (including distance and viewing angle offset), comprehensively evaluate whether the viewing angle of the camera needs to be adjusted, rather than relying solely on a single factor. Specifically: Dynamically adjust the camera viewing angle by combining the motion state of the target and the relative position of the target; The weighting coefficient can be adjusted according to real-time environmental changes and monitoring requirements, making the viewing angle adjustment decision more flexible; Limit the viewing angle adjustment range through the field of view angle of the camera to avoid excessive rotation range or too drastic change in the viewing angle of the camera, ensuring a smooth scheduling process.
[0031] Based on the decisions of multiple cameras, the most suitable camera is selected for perspective adjustment. When the perspective adjustment is triggered, the camera will re-align with the target to ensure that the target is always within the camera's field of view. This adjustment can be achieved not only by rotating the camera's perspective but also by dynamically scheduling other cameras in a multi-camera system for supplementary monitoring in the cable trench. This way of collaborative decision-making among multiple cameras ensures that the camera can select the most suitable perspective for adjustment in real-time and intelligently, maintaining precise tracking of the target in a dynamically changing environment. When the perspective adjustment is triggered, the camera will re-align with the target to ensure that the target is always within the camera's field of view. This flexible camera management method greatly improves the stability and effectiveness of monitoring, avoids the generation of blind spots, enhances the safety monitoring ability of the cable trench, and ensures the safety of equipment and personnel.
[0032] The intelligent manhole cover 6 is used to detect the status of the manhole cover itself, such as whether it is tilted or whether there is heavy object pressure, etc., and is equipped with an anti-theft device. Once the manhole cover is moved without authorization, an alarm will be triggered and transmitted to the central control unit 7; The central control unit 7 is used to receive the real-time data and alarm information transmitted from the intelligent landmark 3, the monitoring unit 5, and the intelligent manhole cover 6, analyze the collected information, identify potential safety hazards or abnormal conditions, and then trigger the corresponding early warning mechanism; the central control unit 7 also supports the remote access function, allowing the staff to view and adjust the parameters of the monitoring unit 5 and the intelligent manhole cover 6.
[0033] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and the descriptions in the specification are only preferred examples of the present invention and do not limit the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed.
Claims
1. A prefabricated intelligent cable trench, characterized in that: The invention comprises a cable trench body (1) arranged below the ground (2), characterized in that an intelligent landmark (3), an intelligent signboard (4), a monitoring unit (5) and an intelligent manhole cover (6) are installed above the ground (2), and the intelligent landmark (3), the monitoring unit (5) and the intelligent manhole cover (6) are all wirelessly connected to a central control unit (7) via a CAT-1 communication method; and the intelligent signboard (4) and the monitoring unit (5) are wirelessly connected via a CAT-1 communication method.
2. The prefabricated intelligent cable trench according to claim 1 is characterized in that: The intelligent landmark (3) is used to collect surrounding environmental parameters in real time and transmit the data to the monitoring unit (5); The bottom of the smart sign (4) is equipped with a vibration sensor, the middle area of the smart sign (4) is equipped with an acceleration sensor, and the top of the smart sign (4) is equipped with a Beidou displacement sensor. The vibration sensor, the acceleration sensor, and the Beidou displacement sensor are used to jointly monitor whether there are activities in the surrounding area that affect the safety of the cable trench body (1). If an abnormal situation is detected, a first priority abnormal signal and a second priority abnormal signal are generated and transmitted to the monitoring unit (5); The monitoring unit (5) is used to immediately start video monitoring and warning lights upon receiving a first priority abnormality signal, and transmit real-time video streams and alarm information to the central control unit (7); upon receiving a second priority abnormality signal, first evaluate the second priority abnormality signal, and then choose whether to perform real-time monitoring on the scene; during the monitoring process, continuously collect data from the smart signboard (4), and transmit the real-time monitoring video and data to the central control unit (7); The intelligent manhole cover (6) is used to detect the state of the manhole cover itself and has a built-in anti-theft device. Once the manhole cover is moved without authorization, an alarm is triggered and transmitted to the central control unit (7); The central control unit (7) is used to receive real-time data and alarm information transmitted from the intelligent landmark (3), the monitoring unit (5) and the intelligent manhole cover (6), and analyze the collected information to identify potential safety hazards or abnormal conditions, and then trigger a corresponding early warning mechanism; the central control unit (7) also supports a remote access function, allowing staff to view and adjust the parameters of the monitoring unit (5) and the intelligent manhole cover (6); The cable trench body (1) is equipped with at least a water level sensor, a drain pipe, a thermometer and a hygrometer, a cable joint status monitoring device, an axial flow fan, an intelligent fire extinguishing device and a harmful gas detector.
3. The prefabricated intelligent cable trench according to claim 2 is characterized in that: A solar panel is fixedly mounted on the top of the smart signboard (4), and the solar panel can provide power for the Beidou displacement sensor.
4. The prefabricated intelligent cable trench according to claim 3 is characterized in that: The smart sign (4) includes a data analysis module (41), which collects data on vibration intensity provided by a vibration sensor, acceleration data provided by an acceleration sensor, and displacement information provided by a Beidou displacement sensor in real time, and processes and analyzes the collected data. The specific analysis process is as follows: Determine whether the displacement fluctuation monitored by the Beidou displacement sensor exceeds the displacement safety threshold range; if the displacement fluctuation monitored by the Beidou displacement sensor exceeds the displacement safety threshold range, generate a first priority abnormality signal and transmit it to the monitoring unit (5); if the displacement fluctuation monitored by the Beidou displacement sensor does not exceed the displacement safety threshold range, continuously monitor and analyze the data of the vibration sensor and the acceleration sensor, and introduce the influence factors of external impact and vibration during the analysis process for optimization, and then determine whether the data is abnormal, and if it is abnormal, generate a second priority abnormality signal.
5. The prefabricated intelligent cable trench according to claim 4 is characterized in that: The data analysis module (41) continuously monitors and analyzes the data of the vibration sensor and the acceleration sensor, and the steps are as follows: the data collected by the acceleration sensor is introduced into the data collected by the vibration sensor, a vibration intensity factor is generated, and then a comprehensive score is formed by combining the vibration duration, specifically: ； in, is the vibration intensity factor; is the vibration amplitude of the vibration sensor; is the maximum observed value of the vibration amplitude; is the acceleration recorded by the accelerometer; The maximum observed value of acceleration; is the weighting coefficient of vibration amplitude; is the weighting coefficient of acceleration; ； in, is the vibration duration factor; is the actual vibration duration; is the maximum duration threshold set; ； ； in, To generate a comprehensive risk score; is the weighting coefficient of vibration intensity factor and duration factor; For the pulse effect; is the weighting coefficient of the pulse effect.
6. The prefabricated intelligent cable trench according to claim 5 is characterized in that: The data analysis module (41) introduces external impact and vibration factors during the analysis process to optimize and determine whether the data is abnormal, as follows: ； in, is the impact factor; is the acceleration sensor at time acceleration; is the acceleration sensor at time acceleration; is the acceleration amplitude weight coefficient; is the frequency weight coefficient; is the highest frequency detected in the acceleration signal; is the reference frequency of normal vibration; is the impact duration weight coefficient; is the impact duration; ； in, is the optimized vibration intensity factor; is the vibration amplitude of the vibration sensor; is the maximum observed value of the vibration amplitude; is the acceleration recorded by the accelerometer; The maximum observed value of acceleration; is the weighting coefficient of vibration amplitude; is the weighting coefficient of acceleration; ； in, is the optimized vibration duration factor; is the weighting coefficient of the impact factor to the duration factor; ； in is the optimized comprehensive risk score; is the weighting coefficient of the impact factor; Finally, if the comprehensive risk score If the score exceeds the preset threshold, a second priority abnormality signal is generated.
7. The prefabricated intelligent cable trench according to claim 6 is characterized in that: The monitoring unit (5) comprises a classification decision module (51), a video scheduling module (52), an alarm response module (53) and a plurality of cameras; wherein the classification decision module (51) is used to analyze the second priority abnormal signal based on a preset evaluation rule, thereby determining whether to start the video scheduling module (52); the video scheduling module (52) is used to retrieve the real-time video stream of the corresponding camera according to demand, estimate the target tracking score in the process of retrieving the video stream, determine whether to adjust the camera angle of view, and feed back the real-time video stream on site to the central control unit (7); the alarm response module (53) is synchronized with the video scheduling module (52), and if the video scheduling module (52) is started, the first priority abnormal signal and the second priority abnormal signal are alarm processed, and the alarm information is transmitted to the central control unit (7).
8. The prefabricated intelligent cable trench according to claim 7 is characterized in that: The classification decision module (51) is specifically: When a second priority abnormal signal is received, the duration and intensity of the abnormal signal are evaluated again by the data analysis module (41) in the smart sign (4) after a preset delay time. If the second priority abnormal signal continues to exist, the video scheduling module (52) is started. After the video scheduling module (52) is started, the second priority abnormal signal is continuously monitored. If the second priority abnormal signal disappears, the video scheduling module (52) is turned off.
9. The prefabricated intelligent cable trench according to claim 8, characterized in that: The video scheduling module (52) calls the real-time video stream of the corresponding camera according to the demand, specifically: according to the position of the first priority abnormal signal and the position of the second priority abnormal signal, the camera at the corresponding position is called.
10. The prefabricated intelligent cable trench according to claim 9, characterized in that: The video scheduling module (52) estimates the target tracking score during the process of retrieving the video stream and determines whether to adjust the camera viewing angle, specifically: in, score target tracking; is the target exercise intensity; is the weight of the target exercise intensity; is the offset angle between the target and the camera’s line of sight; is the weight of the offset angle between the target and the camera's line of sight; is the distance from the target to the camera; is the weight of the distance from the target to the camera; ； in, For the Cameras at time The viewing angle adjustment function; For the Object tracking scores for each camera; The weights used to score the target tracking; For the Cameras at time The distance from the target to the camera; is the maximum effective monitoring distance of the camera; is the weight of the target distance; For the Cameras at time The offset angle of the target relative to the current camera viewing angle; For the Cameras; is the weight of the target angle; when Exceeds a preset threshold , it means that the camera's viewing angle needs to be adjusted, otherwise the current viewing angle remains unchanged.