Apparatus, method and device for preventing breakage of a cable in operation

Abstract

The application discloses a device, method and equipment for preventing the damage of a cable in operation, and belongs to the technical field of power equipment. The device comprises a vibration sensing module, a position recognition module, an image acquisition module and an analysis module. The vibration sensing module acquires vibration information through a vibration sensor. The position recognition module determines the vibration emission position according to the strength of the vibration information, and determines whether the position is within a preset range of the cable position. The image acquisition module acquires image information according to the vibration emission position. The behavior recognition module inputs the image information into a behavior recognition model, and outputs behavior data of a target object in the image information. The analysis module analyzes whether the target object has an impact on the cable operation safety according to the behavior data, and generates prompt information if the target object has an impact on the cable operation safety. The prompt information display module receives and displays the prompt information. The scheme can realize timely monitoring and early warning of the cable operation safety, prevent behaviors that have an impact on the cable operation safety, ensure the cable operation safety, and reduce the possibility of accidents.

Description

Technical Field

[0001] This application belongs to the field of power equipment technology, specifically relating to a device, method and equipment for preventing cable damage during operation. Background Technology

[0002] Cables are essential components for transmitting electricity from generators to users. They play a crucial role in transmitting and using electrical energy, as well as transmitting signals and data, and are used in lighting and safety equipment. Damage to cables can lead to electrical system malfunctions, impaired performance of electronic equipment, and even hazards such as fire and electric shock. Therefore, it is necessary to mark the locations of cables after installation to prevent damage caused by human error.

[0003] Currently, warning signs are placed around the underground cables to alert people of their presence, but these signs are spaced out and cannot be installed along the entire length of the cable. If construction workers are working near the cables, there is a risk that they might not see the signs and could damage the cables while operating heavy machinery, resulting in safety, material, and time losses.

[0004] Therefore, how to detect in real time whether there are any situations around the cable that may affect the cable's operational safety, and generate warning messages to remind people to stay away from the cable in case of such situations, so as to ensure that the cable is not damaged, is an urgent problem to be solved in this field. Summary of the Invention

[0005] This application provides a device, method, and equipment for preventing cable damage during operation. The purpose is to address the problem in existing technologies where it is impossible to detect in real time whether there are any situations around the cable that could affect its operational safety and potentially lead to cable damage. By using a device to prevent cable damage during operation, timely monitoring and early warning of cable operational safety can be achieved, preventing actions that may affect cable operational safety, thereby ensuring cable operational safety and effectively reducing the possibility of accidents.

[0006] In a first aspect, embodiments of this application provide a device for preventing damage to cables during operation, the device comprising:

[0007] The vibration sensing module is used to acquire vibration information through vibration sensors;

[0008] The location identification module is used to determine the location of vibration based on the strength of the vibration information, and to determine whether the location of vibration is within a preset range of the cable location;

[0009] An image acquisition module is used to acquire image information based on the location where the vibration is emitted;

[0010] The behavior recognition module is used to input image information into the behavior recognition model and output the behavior data of the target object in the image information;

[0011] The analysis module is used to analyze whether the target object affects the safe operation of the cable based on the behavioral data, and generate a prompt message if it does affect the cable.

[0012] The prompt information display module is used to receive and display the prompt information.

[0013] Furthermore, the analysis module is specifically used for:

[0014] Based on the behavioral data, analyze the movement trend or action trend of the target object;

[0015] Based on the movement trend or action trend, determine whether the target object affects the safe operation of the cable.

[0016] Furthermore, the analysis module is specifically used for:

[0017] Obtain behavioral data based on at least two frames of image information;

[0018] Based on the behavioral data and the frame relationship of the image information, the motion or action of the target object is predicted to obtain the motion trend or action trend of the target object;

[0019] Based on the motion trend or action trend, predict whether the motion direction of the target object or whether the moving parts overlap with the cable position;

[0020] If there is overlap, it is determined that it affects the safe operation of the cable;

[0021] If there is no overlap, it is determined that there is no impact on the safe operation of the cable.

[0022] Furthermore, the analysis module is also used for:

[0023] Based on the movement trend or action trend, predict the estimated time of damage when the target object's movement direction or the action component overlaps with the cable's position.

[0024] A warning message is generated based on the estimated time of damage.

[0025] Furthermore, the analysis module is also used for:

[0026] If the expected time of damage is less than a preset duration, an emergency warning message will be generated;

[0027] The device further includes:

[0028] The early warning module is used to send the emergency early warning information to a pre-associated portable terminal to inform staff.

[0029] Furthermore, the device also includes:

[0030] An anomaly response module is used to store emergency plans for cable damage; and in the event of cable damage, the emergency plan is activated to connect upstream and downstream equipment of the cable using preset emergency lines.

[0031] Secondly, embodiments of this application provide a method for preventing damage to cables during operation, the method comprising:

[0032] Vibration information is obtained from vibration sensors through a vibration sensing module;

[0033] The location identification module determines the location of the vibration based on the intensity of the vibration information, and determines whether the location of the vibration is within a preset range of the cable location.

[0034] The image acquisition module obtains image information based on the location of the vibration.

[0035] The behavior recognition module inputs image information into the behavior recognition model and outputs the behavior data of the target object in the image information.

[0036] The analysis module analyzes whether the target object affects the safe operation of the cable based on the behavioral data, and generates a prompt message if it does.

[0037] The prompt information is received and displayed through the prompt information display module.

[0038] Furthermore, based on the behavioral data, the system analyzes whether the target object affects the safe operation of the cable, and if it does, generates a prompt message, including:

[0039] Based on the behavioral data, analyze the movement trend or action trend of the target object;

[0040] Based on the movement trend or action trend, determine whether the target object affects the safe operation of the cable.

[0041] Furthermore, based on the behavioral data, the system analyzes whether the target object affects the safe operation of the cable, and if it does, generates a prompt message, including:

[0042] Obtain behavioral data based on at least two frames of image information;

[0043] Based on the behavioral data and the frame relationship of the image information, the motion or action of the target object is predicted to obtain the motion trend or action trend of the target object;

[0044] Based on the motion trend or action trend, predict whether the motion direction of the target object or whether the moving parts overlap with the cable position;

[0045] If there is overlap, it is determined that it affects the safe operation of the cable;

[0046] If there is no overlap, it is determined that there is no impact on the safe operation of the cable.

[0047] Thirdly, embodiments of this application provide an electronic device including a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the method described in the first aspect.

[0048] Fourthly, embodiments of this application provide a readable storage medium on which a program or instructions are stored, which, when executed by a processor, implement the steps of the method described in the first aspect.

[0049] Fifthly, embodiments of this application provide a chip, the chip including a processor and a communication interface, the communication interface being coupled to the processor, the processor being used to run programs or instructions to implement the method as described in the first aspect.

[0050] In this embodiment, a vibration sensing module is used to acquire vibration information through a vibration sensor; a location identification module is used to determine the vibration emission location based on the intensity of the vibration information, and to determine whether the vibration emission location is within a preset range of the cable location; an image acquisition module is used to acquire image information based on the vibration emission location; a behavior recognition module is used to input the image information into a behavior recognition model and output the behavior data of the target object in the image information; an analysis module is used to analyze whether the target object affects the cable operation safety based on the behavior data, and to generate a prompt message if an impact is caused; and a prompt message display module is used to receive and display the prompt message. Through the above-mentioned device for preventing cable damage during operation, timely monitoring and early warning of cable operation safety can be achieved, preventing behaviors that may affect cable operation safety, thereby ensuring cable operation safety and effectively reducing the possibility of accidents. Attached Figure Description

[0051] Figure 1 This is a schematic diagram of the device for preventing cable damage during operation provided in Embodiment 1 of this application;

[0052] Figure 2 This is a schematic diagram of the structure of the device for preventing cable damage during operation provided in Embodiment 2 of this application;

[0053] Figure 3 This is a flowchart illustrating the method for preventing cable damage during operation provided in Embodiment 3 of this application;

[0054] Figure 4 This is a schematic diagram of the structure of the electronic device provided in Embodiment 4 of this application. Detailed Implementation

[0055] To make the objectives, technical solutions, and advantages of this application clearer, specific embodiments of this application will be described in further detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely for explaining this application and not for limiting it. It should also be noted that, for ease of description, only the parts relevant to this application are shown in the drawings, not all of them. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe operations (or steps) as sequential processes, many of these operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but may also have additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0056] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0057] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0058] The following description, in conjunction with the accompanying drawings, details the apparatus, method, and equipment provided in this application for preventing cable damage during operation through specific embodiments and application scenarios.

[0059] Example 1

[0060] Figure 1 This is a schematic diagram of the device for preventing cable damage during operation, provided in Embodiment 1 of this application. Figure 1 As shown, it specifically includes the following:

[0061] Vibration sensing module 101 is used to acquire vibration information through vibration sensors;

[0062] The location identification module 102 is used to determine the location of vibration based on the strength of the vibration information, and to determine whether the location of vibration is within a preset range of the cable location.

[0063] The image acquisition module 103 is used to acquire image information based on the location where the vibration is emitted;

[0064] The behavior recognition module 104 is used to input image information into the behavior recognition model and output the behavior data of the target object in the image information;

[0065] Analysis module 105 is used to analyze whether the target object affects the safety of cable operation based on the behavioral data, and generate a prompt message if it does affect the safety of cable operation.

[0066] The prompt information display module 106 is used to receive and display the prompt information.

[0067] Firstly, this solution can be used in scenarios where vibration sensors transmit acquired vibration information to a smart terminal. The smart terminal analyzes the vibration information to determine if there are any objects around the cable that could affect its safe operation. If so, it generates a notification message and sends it to the on-site display device to alert nearby personnel that a cable is present and they should not damage it.

[0068] Based on the above usage scenarios, it is understood that the implementing entity of this application can be a device that integrates functions such as acquiring vibration information, analyzing vibration information, generating prompt information, and displaying prompt information to prevent damage to cables during operation. No further limitations are imposed here.

[0069] In this solution, the vibration sensor is a sensor that can detect the vibration of an object. It can be used to monitor the operating status of mechanical equipment or structures, as well as to detect physical quantities such as vibration.

[0070] Vibration information can include frequency, amplitude, instantaneous acceleration, duration, and direction. Among them, frequency refers to the frequency of vibration, that is, the number of vibrations; amplitude refers to the amplitude of vibration, that is, the maximum amplitude of vibration; instantaneous acceleration refers to the velocity of vibration, that is, the time interval between each vibration; duration refers to the duration of vibration, that is, the total duration of vibration; and direction refers to the direction of vibration, that is, the starting position and the ending position of vibration.

[0071] Vibration sensors can acquire vibration information by measuring the physical changes caused by vibration, and convert these physical changes into electrical signals for subsequent processing.

[0072] The vibration emission location can be represented by three-dimensional spatial coordinates, in the form (X, Y, Z). The coordinate system can be predetermined based on the cable burial location. The origin can be the midpoint between the starting and ending points of the cable burial. The unit length can be set to 1m. The positive and negative x-axis directions can be defined according to the transverse direction of the cable burial: the transverse direction from the origin to the cable's running end is the positive x-axis, and the transverse direction from the origin to the cable's running source end is the negative x-axis. The longitudinal direction perpendicular to the cable burial location is the positive y-axis, and the longitudinal direction perpendicular to the cable burial location is the negative y-axis. The direction above the cable burial location is the positive z-axis, and the direction below the cable burial location is the negative z-axis. For example, if the cable burial length is 50m, buried 2m underground, and the vibration emission location is 20m from the origin in the positive transverse direction and 3m from the origin in the positive longitudinal direction, then the vibration emission location can be represented as (+20, +3, +2).

[0073] In this scheme, the cable can be an underground cable, and the preset range of the cable location can include the cable location itself and a portion of the longitudinal range of the cable burial location. For example, if the cable is 50m long, the location directly above the burial start and end points of the cable is the cable location, and the area within 3m before and after the cable location is a portion of the longitudinal range of the cable location.

[0074] Once the vibration sensor acquires vibration information, it can transmit this information to a smart terminal via wireless communication technology. The smart terminal can then use various methods to determine the location of the vibration, including:

[0075] 1. Time difference method: Based on the propagation time of vibration, the location of vibration is determined by calculating the time difference between two received vibration signals.

[0076] 2. Waveform fitting method: Fit the vibration waveform based on the amplitude and frequency of the vibration signal to determine the location from which the vibration originates.

[0077] 3. Triangulation method: The vibration signal received by three sensors is used to calculate the location of the vibration based on the time difference and amplitude of the received vibration signal.

[0078] 4. Weighted Algorithm: Based on the vibration signals received from different sensors, different weights are set, and the amplitude, instantaneous acceleration, duration and direction of the vibration signal are comprehensively considered to finally determine the location of the vibration.

[0079] After the cable is laid, the cable location preset range can be stored in the smart terminal. When the vibration location is determined, the smart terminal can automatically call up the pre-stored cable location preset range and compare the vibration location with the cable location preset range to determine whether the vibration location is within the cable location preset range.

[0080] Image information can be images of construction machinery and equipment captured on site, which may include excavators, loaders, mixers, bulldozers, road rollers, tractors, cranes, vibratory rollers, and forklifts, etc.

[0081] 360-degree panoramic cameras can be deployed on the ground directly above the cable location to acquire image information. However, due to the limited shooting range of the cameras, the number of cameras needs to be calculated based on the cable length and the camera's shooting range. For example, if the cable is 90 meters long and the camera's shooting range is a circular area with a radius of 15 meters centered on the camera, then three 360-degree panoramic cameras should be placed on the ground directly above the cable's starting point at 15 meters, 45 meters, and 75 meters. After the 360-degree panoramic cameras are deployed, their locations can be pre-stored in the smart terminal's database. When the smart terminal determines the location of vibration, it automatically searches the database for the nearest camera based on that location and uses camera capture software to view the image information captured by that camera. The capture software allows the smart terminal to access the cameras, view the image information from them, and control the camera settings.

[0082] Behavior recognition models can be a type of data mining technique. Since the image information in this solution can be images of on-site construction machinery, the behavior recognition model can mine behavioral patterns from a large amount of historical data and use this information to predict future behavior. Behavior recognition models typically rely on deep learning algorithms, such as deep convolutional neural networks (CNNs), to identify the behavioral data of construction machinery based on image information. CNNs can detect patterns appearing in images, such as key components of the construction machinery and the relationships between them, thereby extracting behavioral data from the images. Furthermore, techniques such as video analytics are used to extract behavioral processes from image sequences, thus better tracking the behavior of construction machinery.

[0083] The target object can be construction machinery and equipment, and the behavioral data can include parameters such as the type, location, direction of movement, posture, speed, and acceleration of the construction machinery and equipment.

[0084] The behavior recognition model can be pre-stored on a server and connected to a smart terminal via a network interface. Once the smart terminal acquires image information, it can use image processing technology to convert the image information into a data format that the behavior recognition model can recognize. Then, the smart terminal can send the converted data to the server via the network interface, where the server's behavior recognition model analyzes the image information. Finally, the server's behavior recognition model outputs the behavior data of the target object in the image information based on the analysis results and transmits the behavior data to the smart terminal via the network interface.

[0085] The prompt message can be a text message reminding workers operating construction machinery that cables are buried here and should not be touched. The content and format of the prompt message can be preset in the smart terminal.

[0086] If a target object eventually reaches the preset range of the cable location, and its behavior causes cable damage, it can be considered to affect the cable's operational safety. For example, if the target object is an excavator moving towards the cable in a digging posture, located 6 meters from the preset cable location and moving at a constant speed of 3 m / s, then after analyzing the behavioral data using a behavior recognition model, the result is that the excavator will dig up the cable in 2 seconds, thus affecting the cable's operational safety. In this case, the behavior recognition model can transmit the result to a smart terminal via a network interface, and the smart terminal will automatically generate a prompt message upon receiving the result.

[0087] Based on the above technical solutions, optionally, the analysis module is specifically used for:

[0088] Based on the behavioral data, analyze the movement trend or action trend of the target object;

[0089] Based on the movement trend or action trend, determine whether the target object affects the safe operation of the cable.

[0090] In this scheme, the motion trend can be the next movement that the target object will make, which can include the target object's direction of movement, velocity, and acceleration, and can be expressed in the form of direction of movement - velocity - acceleration. For example, when the target object is an excavator, and its direction of movement is perpendicular to the cable laying direction and it is moving towards the cable at a constant speed of 3 m / s, then the motion trend can be expressed as perpendicular to the cable laying direction and moving towards the cable - 3 m / s - 0.

[0091] Action trends can be the next action that the target object will take. For example, when the target object is an excavator, its mechanical components include a standard boom, standard bucket, and hook. The standard boom can operate and move objects, the standard bucket can be used to dig and move earth and rocks, and the hook can be used to drag, pull, and move objects. Therefore, the action trend of an excavator can be the next action that these mechanical components will take.

[0092] By collecting behavioral data of the target object, smart terminals can analyze the movement and action trends of the target object. When the target object is construction machinery, firstly, the key features are extracted by sorting out the equipment's behavioral data, and then machine learning techniques, such as deep learning, clustering, and regression, are used for analysis to derive the equipment's movement and action trends.

[0093] Intelligent terminals can use data analysis to detect the movement of target objects and determine whether they will affect the safety of cable operation. If the target object eventually reaches the preset range of the cable location and damages the cable due to its operation, then the cable's safety will be affected. Specifically, machine learning algorithms can be used to build equipment movement trend models and action trend models using historical data. Real-time data analysis and model comparison can then be used to determine whether the target object will affect the cable. For example, if the target object is construction machinery, and analysis shows that the machinery will arrive directly above the cable location in 2 seconds and perform digging operations, thereby damaging the cable, then it can be determined that this construction machinery will affect the cable's safety.

[0094] In this solution, by analyzing the movement or action trends of the target object, it can determine whether it will affect the safe operation of the cable. Potential hazards that could affect the cable can be identified, and warning messages can be generated based on these hazards to alert on-site personnel to stay away from the cable, thus protecting the cable's lifespan and reducing maintenance and replacement costs.

[0095] LED screens can be used to display notifications. When a smart terminal generates a notification, it transmits it to the LED screen via wireless communication technology. The LED screen then receives and displays the notification. Wireless communication refers to long-distance transmission between multiple nodes without the use of conductors or cables; radios and other wireless communication methods can be used for this purpose. LED screens are a new type of display with larger, clearer, and more dynamic image display capabilities, and can be used to display various information, such as text, images, and videos.

[0096] In this embodiment, a vibration sensing module is used to acquire vibration information through a vibration sensor; a location identification module is used to determine the vibration emission location based on the intensity of the vibration information, and to determine whether the vibration emission location is within a preset range of the cable location; an image acquisition module is used to acquire image information based on the vibration emission location; a behavior recognition module is used to input the image information into a behavior recognition model and output the behavior data of the target object in the image information; an analysis module is used to analyze whether the target object affects the cable operation safety based on the behavior data, and to generate a prompt message if an impact is caused; and a prompt message display module is used to receive and display the prompt message. Through the above-mentioned device for preventing cable damage during operation, timely monitoring and early warning of cable operation safety can be achieved, preventing behaviors that may affect cable operation safety, thereby ensuring cable operation safety and effectively reducing the possibility of accidents.

[0097] Based on the above technical solutions, optionally, the device further includes:

[0098] An anomaly response module is used to store emergency plans for cable damage; and in the event of cable damage, the emergency plan is activated to connect upstream and downstream equipment of the cable using preset emergency lines.

[0099] In this plan, the emergency response plan can be the measures to be taken in the event of an emergency to deal with damage or loss caused by a cable-damaging incident. Specifically, the emergency response plan can include the process of troubleshooting cable faults, the steps to restore the normal operation of power equipment and power systems, as well as alternative measures and recovery measures after the emergency event is resolved.

[0100] Upstream equipment can refer to the starting point of the cable, which can be a router, switch, or server; downstream equipment can refer to the ending point of the cable, which can be a router, switch, or client equipment.

[0101] A pre-set emergency line refers to a backup cable that has been prepared in advance and can be used to replace a damaged cable to enable emergency connection between upstream and downstream equipment.

[0102] Once the emergency plan is determined, it can be pre-stored in the smart terminal. When the cable is damaged, the smart terminal can execute the following steps to activate the emergency plan and connect the upstream and downstream equipment of the cable using the preset emergency lines:

[0103] 1. First, check the condition of the upstream and downstream equipment to confirm whether the preset emergency line can be used for connection.

[0104] 2. If possible, start the upstream and downstream devices in sequence to enable them to work properly.

[0105] 3. Ensure the emergency line is correctly connected, and start the upstream and downstream equipment in sequence to enable them to work normally.

[0106] 4. Check the operation status of the emergency lines to ensure the normal operation of the equipment and reliable connection.

[0107] 5. After completing the above steps, the emergency plan can be activated to connect the upstream and downstream equipment of the cable using the preset emergency lines.

[0108] This solution incorporates an emergency plan to connect upstream and downstream equipment in the event of cable damage. This ensures the stability and reliability of the power system and prevents losses due to power outages or interruptions caused by cable faults. Furthermore, it avoids damage to the system from electromagnetic radiation emanating from the damaged cable.

[0109] The device for preventing cable damage during operation in this application embodiment can be a device, or a component, integrated circuit, or chip in a terminal. The device can be a mobile electronic device or a non-mobile electronic device. For example, mobile electronic devices can be mobile phones, tablets, laptops, PDAs, in-vehicle electronic devices, wearable devices, ultra-mobile personal computers (UMPCs), netbooks, or personal digital assistants (PDAs), etc., while non-mobile electronic devices can be servers, network attached storage (NAS), personal computers (PCs), televisions (TVs), ATMs, or self-service machines, etc. This application embodiment does not impose specific limitations.

[0110] The device for preventing cable damage during operation in this application embodiment can be a device with an operating system. This operating system can be Android, iOS, or other possible operating systems; this application embodiment does not specifically limit it.

[0111] Example 2

[0112] Figure 2 This is a schematic diagram of the device for preventing cable damage during operation, provided in Embodiment 2 of this application. Figure 2 As shown, it specifically includes the following:

[0113] The analysis module 105 is specifically used for:

[0114] Obtain behavioral data based on at least two frames of image information;

[0115] Based on the behavioral data and the frame relationship of the image information, the motion or action of the target object is predicted to obtain the motion trend or action trend of the target object;

[0116] Based on the motion trend or action trend, predict whether the motion direction of the target object or whether the moving parts overlap with the cable position;

[0117] If there is overlap, it is determined that it affects the safe operation of the cable;

[0118] If there is no overlap, it is determined that there is no impact on the safe operation of the cable.

[0119] In this solution, since a 360-degree panoramic camera can be used to acquire image information, the time interval between acquiring two frames of image information can be predetermined. In this solution, the time interval can be specified as 1 second. When the camera transmits the image information to the smart terminal via wireless communication technology, the timestamp of the captured image information is also transmitted simultaneously. Furthermore, the smart terminal will filter at least two frames of image information according to the predetermined time interval for acquiring two frames of image information and transmit them to the behavior recognition model to obtain the behavior data obtained from the at least two frames of image information.

[0120] The frame relationship of image information can be the temporal order of the images. Since it is necessary to analyze the motion or action trend of the target object, and in a time series, the object is continuous rather than abrupt, the motion or action trend of the target object can be accurately analyzed based on the frame relationship of the image information.

[0121] Once the frame relationships of behavioral data and image information are obtained, machine learning technology can be used on smart terminals to predict the movement or actions of a target object. Specifically, machine learning technology can analyze the frame relationships of the target object's behavioral data and image information to build a model to predict the target object's movement or actions. For example, clustering algorithms and joint probability models can be used to explore the target object's movement or actions, thereby obtaining the target object's movement trend or action trend. For instance, when the target object is an excavator, in the first second of the image, the excavator's position is 6m perpendicular to the cable laying direction, and the standard bucket is 3m above the ground. In the second second of the image, the excavator's position is still 3m perpendicular to the cable laying direction, and the standard bucket is 1m above the ground. Therefore, the predicted movement trend of the excavator is to move towards the cable perpendicular to the cable laying direction, and the action trend is to use the standard bucket to dig.

[0122] The moving parts of the target object can be mechanical accessories of the target object. For example, when the target object is an excavator, the moving parts can include the standard boom, standard bucket, and bucket hook, etc.

[0123] To predict the direction of motion of a target object or whether its moving parts overlap with the cable position, the following methods can be considered:

[0124] 1. Determine whether the target object will pass through the cable location by observing its movement trend. For example, if the target object's trajectory is close to the cable location, it is very likely to pass through that location.

[0125] 2. Analyze the movement trends of the target object. For example, when the target object is an excavator, you can analyze the excavator's digging depth and digging direction to determine whether it will collide with the cable.

[0126] When the direction of movement of the target object or the position of its moving parts overlaps with the cable position, it is considered that the target object may compress the cable due to its passage through the cable position, thus affecting the cable's operational safety; or that the moving parts of the target object may touch the cable and perform related operations, thereby damaging the cable, thus affecting the cable's operational safety. Conversely, when the direction of movement of the target object or the position of its moving parts does not overlap with the cable position, it will not touch the cable, thus not affecting the cable's operational safety.

[0127] In this embodiment, real-time monitoring and prediction can be performed using image information and behavioral data to promptly detect conflicts between target objects and cables, effectively preventing cable damage and safety issues. Furthermore, this setup improves cable safety, extends cable lifespan, and reduces cable maintenance and replacement costs.

[0128] Based on the above technical solutions, optionally, the analysis module 105 is further used for:

[0129] Based on the movement trend or action trend, predict the estimated time of damage when the target object's movement direction or the action component overlaps with the cable's position.

[0130] A warning message is generated based on the estimated time of damage.

[0131] In this solution, the estimated time to encounter damage can be the time it takes for the target object to move to the position overlapping with the cable or the time it takes for the moving parts to move to the position overlapping with the cable. For example, if the target object is an excavator, and its movement trend is to move towards the cable along a direction perpendicular to the cable laying direction, and it takes another 2 seconds to reach the position overlapping with the cable, then the estimated time to encounter damage is 2 seconds; if the movement trend is to use a standard bucket for digging, and the standard bucket takes 3 seconds to reach the position overlapping with the cable, then the estimated time to encounter damage is 3 seconds.

[0132] Once the motion trend or movement trend is obtained, the smart terminal can calculate the estimated time of damage based on the speed and acceleration of the target object or moving part, as well as the distance from the target object or moving part to the position overlapping with the cable.

[0133] Once the estimated time of damage is obtained, the smart terminal can automatically call up the pre-set text content of the prompt message and combine it with the estimated time of damage to generate the final prompt message, which can be represented in the form of the text content of the prompt message minus the estimated time of damage.

[0134] This solution generates alerts based on the anticipated time of damage, prompting on-site personnel to evacuate promptly, reducing the likelihood of accidents and ensuring their safety. It also prevents actions that could compromise cable operation, thus guaranteeing safe cable operation.

[0135] Based on the above technical solutions, optionally, the analysis module 105 is further used for:

[0136] If the expected time of damage is less than a preset duration, an emergency warning message will be generated;

[0137] The device further includes:

[0138] The early warning module is used to send the emergency early warning information to a pre-associated portable terminal to inform staff.

[0139] In this solution, if the estimated time of damage is less than the preset duration, and the target object is construction machinery, the operators may not have enough time to check the warning message. Therefore, an emergency warning message needs to be generated to prompt workstation staff to go to the site to check the actual situation and cable condition. The preset duration in this solution can be set to 2 seconds. The emergency warning message can be a notification to workstation staff that there is an emergency and they need to go to the site to check the actual situation and cable condition. The preset duration and the content of the emergency warning message are pre-set on the smart terminal. When the smart terminal determines the estimated time of damage, it automatically compares the estimated time of damage with the preset duration. If it is less than the preset duration, an emergency warning message is generated based on the pre-set content of the emergency warning message and the location of the incident. Specifically, a GPS locator (Global Positioning System) can be used to determine the location of the incident using GPS positioning technology.

[0140] The portable terminal can be a mobile device equipped by workstation staff, including devices such as mobile phones and tablets. Each portable terminal can contain ID information and corresponding workstation location information, which can be pre-stored in the smart terminal's database. When the expected damage time is less than the preset time, the smart terminal will search the database for the nearest workstation location based on the location of the incident. It will then identify the target portable terminal based on the ID information of the portable terminal corresponding to that workstation location and send an emergency warning to that terminal. After receiving the emergency warning, staff can proceed to the site to check the specific situation and cable condition based on the location indicated in the warning.

[0141] In this solution, an emergency warning message is generated to notify staff if the expected damage time is less than the preset time. Staff can then go to the site to check based on this information. If the cable is damaged, it can be detected and repaired in a timely manner, reducing the safety, material and time losses caused by cable damage.

[0142] Example 3

[0143] Figure 3 This is a flowchart illustrating the method for preventing cable damage during operation provided in Embodiment 3 of this application. Figure 3 As shown, the specific steps include the following:

[0144] S301, the vibration sensing module obtains vibration information from the vibration sensor;

[0145] S302, the location identification module determines the location of vibration based on the strength of the vibration information, and determines whether the location of vibration is within a preset range of the cable location;

[0146] S303, the image acquisition module acquires image information based on the location of the vibration.

[0147] S304, The image information is input into the behavior recognition model through the behavior recognition module, and the behavior data of the target object in the image information is output;

[0148] S305, the analysis module analyzes whether the target object affects the safety of cable operation based on the behavioral data, and generates a prompt message if it does affect the safety of cable operation.

[0149] S306, The prompt information is received and displayed through the prompt information display module.

[0150] Furthermore, based on the behavioral data, the system analyzes whether the target object affects the safe operation of the cable, and if it does, generates a prompt message, including:

[0151] Based on the behavioral data, analyze the movement trend or action trend of the target object;

[0152] Based on the movement trend or action trend, determine whether the target object affects the safe operation of the cable.

[0153] Furthermore, based on the behavioral data, the system analyzes whether the target object affects the safe operation of the cable, and if it does, generates a prompt message, including:

[0154] Obtain behavioral data based on at least two frames of image information;

[0155] Based on the behavioral data and the frame relationship of the image information, the motion or action of the target object is predicted to obtain the motion trend or action trend of the target object;

[0156] Based on the motion trend or action trend, predict whether the motion direction of the target object or whether the moving parts overlap with the cable position;

[0157] If there is overlap, it is determined that it affects the safe operation of the cable;

[0158] If there is no overlap, it is determined that there is no impact on the safe operation of the cable.

[0159] In this embodiment, a vibration sensing module acquires vibration information from a vibration sensor; a location recognition module determines the vibration location based on the intensity of the vibration information and whether the vibration location is within a preset range of the cable location; an image acquisition module acquires image information based on the vibration location; a behavior recognition module inputs the image information into a behavior recognition model and outputs the behavior data of the target object in the image information; an analysis module analyzes the behavior data to determine whether the target object affects the cable's operational safety, and generates a warning message if it does; and a warning message display module receives and displays the warning message. This method for preventing cable damage during operation enables timely monitoring and early warning of cable operational safety, preventing behaviors that may affect cable operational safety, thereby ensuring cable operational safety and effectively reducing the possibility of accidents.

[0160] The method for preventing cable damage during operation provided in this embodiment corresponds to the device provided in the above embodiments and has a corresponding execution process and beneficial effects, which will not be repeated here.

[0161] Example 4

[0162] like Figure 4 As shown, this application embodiment also provides an electronic device 400, including a processor 401, a memory 402, and a program or instructions stored in the memory 402 and executable on the processor 401. When the program or instructions are executed by the processor 401, they implement the various processes of the above-described device embodiment for preventing cable damage during operation and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0163] It should be noted that the electronic devices in the embodiments of this application include the mobile electronic devices and non-mobile electronic devices described above.

[0164] Example 5

[0165] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described device embodiment for preventing cable damage during operation and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0166] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0167] Example 6

[0168] This application embodiment also provides a chip, which includes a processor and a communication interface. The communication interface and the processor are coupled. The processor is used to run programs or instructions to implement the various processes of the above-described device embodiment for preventing cable damage during operation, and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0169] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0170] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0171] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0172] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

[0173] The above description is merely a preferred embodiment and the technical principles employed in this application. This application is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions that can be made by those skilled in the art will not depart from the scope of protection of this application. Therefore, although this application has been described in detail through the above embodiments, this application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of this application, the scope of which is determined by the scope of the claims.

Claims

1. A device for preventing cable damage during operation, characterized in that, The device includes: The vibration sensing module is used to acquire vibration information through a vibration sensor, the vibration information including frequency, amplitude, instantaneous acceleration, duration and direction; The position recognition module is used to determine the vibration emission location based on the strength of the vibration information, and to determine whether the vibration emission location is within a preset range of the cable location. The position recognition module uses a weighted algorithm to set different weights according to the vibration signals received from different sensors, and determines the vibration emission location based on the amplitude, instantaneous acceleration, duration and direction of the vibration signal. An image acquisition module is used to acquire image information based on the location of the vibration. The image acquisition module uses a 360-degree panoramic image camera to find the camera closest to the vibration location and acquire the image information. The behavior recognition module is used to input image information into the behavior recognition model and output the behavior data of the target object in the image information. The behavior data includes the type, position, direction of movement, posture, speed and acceleration of the construction machinery equipment. The moving parts of the target object include the standard boom, standard bucket and bucket hook. The analysis module is used to analyze whether the target object affects the safe operation of the cable based on the behavioral data, and generate a prompt message if it does affect the cable. The prompt information display module is used to receive and display the prompt information; The analysis module is specifically used for: analyzing the movement trend or action trend of the target object based on the behavioral data; and determining whether the target object affects the safety of cable operation based on the movement trend or action trend. The analysis module is specifically used for: acquiring behavioral data obtained from at least two frames of image information; predicting the motion or action of the target object based on the behavioral data and the frame relationship of the image information to obtain the motion trend or action trend of the target object; predicting whether the motion direction or action component of the target object overlaps with the cable position based on the motion trend or action trend; if it overlaps, determining that it affects the safety of cable operation; if it does not overlap, determining that it does not affect the safety of cable operation. The analysis module is further configured to: predict the estimated time of failure when the target object's movement direction or the moving part overlaps with the cable position, based on the movement trend or action trend, wherein the estimated time of failure is calculated based on the movement speed, acceleration, and distance to the position overlapping with the cable position of the target object or the moving part; and generate a prompt message based on the estimated time of failure. The analysis module is also used to generate an emergency warning message when the expected damage time is less than a preset duration; the device also includes an early warning module, used to send the emergency warning message to a pre-associated portable terminal to inform staff.

2. The device for preventing cable damage during operation according to claim 1, characterized in that, The device further includes: An anomaly response module is used to store emergency plans for cable damage; and in the event of cable damage, the emergency plan is activated to connect upstream and downstream equipment of the cable using preset emergency lines.

3. A method for preventing cable damage during operation, characterized in that, The method includes: The vibration sensing module acquires vibration information from the vibration sensor, including frequency, amplitude, instantaneous acceleration, duration, and direction. The location identification module determines the vibration location based on the intensity of the vibration information and determines whether the vibration location is within a preset range of the cable location. The location identification module uses a weighted algorithm to set different weights for the vibration signals received from different sensors and comprehensively considers the amplitude, instantaneous acceleration, duration, and direction of the vibration signal to determine the vibration location. The image acquisition module obtains image information based on the location of the vibration. The image acquisition module uses a 360-degree panoramic image camera to find the camera closest to the location of the vibration and obtain the image information. Image information is input into the behavior recognition model through the behavior recognition module, and the behavior data of the target object in the image information is output. The behavior data includes the type, position, direction of movement, posture, speed and acceleration of the construction machinery equipment. The moving parts of the target object include the standard boom, standard bucket and bucket hook. The analysis module analyzes whether the target object affects the safe operation of the cable based on the behavioral data, and generates a prompt message if it does. The prompt information is received and displayed through the prompt information display module; Based on the behavioral data, analyze whether the target object affects the safety of cable operation, and if it does, generate a prompt message, including: analyzing the movement trend or action trend of the target object based on the behavioral data; and determining whether the target object affects the safety of cable operation based on the movement trend or action trend. Based on the behavioral data, analyze whether the target object affects the safety of cable operation, and generate a prompt message if it does. This includes: acquiring behavioral data from at least two frames of image information; predicting the movement or action of the target object based on the behavioral data and the frame relationship of the image information to obtain the movement trend or action trend of the target object; predicting whether the movement direction or moving part of the target object overlaps with the cable position based on the movement trend or action trend; if they overlap, it is determined that the cable operation safety is affected; if they do not overlap, it is determined that the cable operation safety is not affected. Based on the movement trend or action trend, predict the estimated time of damage when the target object's movement direction or the moving part overlaps with the cable position. The estimated time of damage is calculated based on the movement speed, acceleration, and distance of the target object or the moving part to the position overlapping with the cable position. Generate a prompt message based on the estimated time of damage. If the expected damage time is less than a preset duration, an emergency warning message is generated; the emergency warning message is sent to a pre-associated portable terminal to inform staff.

4. An electronic device, characterized in that, It includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the method for preventing damage to cables during operation as described in claim 3.

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