Construction site potential safety hazard management method based on robot

Abstract

The invention discloses a construction site potential safety hazard management method based on a robot, and relates to the technical field of building construction management, and the method comprises the steps: configuring basic task parameters of an inspection robot, and enabling the inspection robot to complete a basic task according to a preset path; when the robot arrives at a preset task point, a target task is determined based on the task point unique identifier and collection is completed; after the robot traverses all the task points, the acquisition result is analyzed, and an analysis result containing hidden danger types, levels and position information is generated; and generating a response strategy based on the analysis result. According to the invention, automatic detection and management of potential safety hazards on a construction site can be realized, the inspection efficiency and accuracy are improved, artificial omission is reduced, a targeted response strategy is rapidly generated, the standardization and process level of safety management is improved, the safety accident risk is effectively reduced, and the construction safety is guaranteed.

Description

Technical Field

[0001] This invention relates to the field of construction management technology, and in particular to a robot-based method for managing safety hazards at construction sites. Background Technology

[0002] Safety management is a crucial aspect of construction. However, traditional construction site safety management relies primarily on manual inspections, a method with numerous drawbacks that fail to meet the demands of modern construction safety management.

[0003] 1. Limitations of manual inspection Inefficiency: Construction sites are large and complex, making it difficult for manual inspections to fully cover every corner, which can easily lead to blind spots and prevent the timely detection of safety hazards.

[0004] Highly subjective: Different inspection personnel may have different standards for identifying and assessing safety risks, which can easily lead to misjudgments or omissions. For example, there is a lack of unified quantitative standards for judging the operating status of equipment.

[0005] Data recording is cumbersome: Manually recording and organizing safety hazard information is time-consuming and labor-intensive, and data feedback is not timely, making it difficult to quickly formulate effective rectification measures. At the same time, paper records are easily lost or damaged, which is not conducive to long-term management and traceability.

[0006] 2. Frequent safety accidents In recent years, construction safety accidents have occurred frequently, causing huge losses of life and property. According to relevant statistics, the construction industry is one of the high-risk industries, with accident types mainly including falls from heights, falling objects, machinery injuries, and electric shocks. These accidents largely occur because safety hazards were not detected and rectified in a timely manner.

[0007] 3. Technological Development Trends With the continuous advancement of technology, utilizing robotics and artificial intelligence to improve safety management at construction sites has become a trend. For example, some construction sites have attempted to use drones for aerial inspections, but drones have poor adaptability in complex environments and cannot perform detailed close-up inspections. Furthermore, artificial intelligence technology has made significant progress in areas such as image recognition and sound analysis, making automated safety hazard identification possible.

[0008] 4. Application of BIM technology Building Information Modeling (BIM) technology is being used more and more widely in the construction industry. BIM models can intuitively display three-dimensional information about building structures and equipment, providing a visualization platform for safety management. However, at present, the application of BIM technology in safety management is mainly limited to the static information display stage, lacking dynamic interaction with real-time data.

[0009] 5. Shortcomings of existing technology Although some technologies have been developed to address the problems in construction site safety management, existing technologies still have the following shortcomings: Low level of automation: Most safety management still relies on manual operation and lacks automated and intelligent solutions.

[0010] Poor data integration: Safety hazard information is scattered and difficult to integrate effectively with visualization tools such as BIM models, making it difficult for managers to quickly grasp the overall situation.

[0011] Slow response speed: There are many intermediate steps from the discovery of potential hazards to the issuance of rectification notices, resulting in a slow response speed and an inability to address major safety hazards in a timely manner. Summary of the Invention

[0012] The technical problem to be solved by this invention is to address the shortcomings of existing technologies, and specifically provides a robot-based method for managing safety hazards at construction sites, as detailed below: 1) In a first aspect, the present invention provides a robot-based method for managing safety hazards at construction sites, the specific technical solution of which is as follows: Configure the basic task parameters of the inspection robot so that the inspection robot can complete the basic task according to the preset path; When the inspection robot arrives at any preset task point in the preset path, it determines the target task corresponding to the unique identifier based on the unique identifier of the preset task point, and controls the inspection robot to complete the target task and obtain the collection results. And while the inspection robot traverses all the preset task points in the preset path, it analyzes all the collected results and generates analysis results, which include the type of safety hazard, the level of safety hazard, and location information. Based on the analysis results, a response strategy is generated.

[0013] The beneficial effects of the robot-based construction site safety hazard management method provided by this invention are as follows: By configuring the basic task parameters of the inspection robot and enabling it to complete basic tasks according to a preset path, automated inspection of construction sites can be achieved, effectively improving inspection efficiency and coverage, reducing human oversight, and ensuring the timely detection of potential safety hazards. When the inspection robot reaches any preset task point on the preset path, it determines the corresponding target task based on the unique identifier of the task point and completes the data collection. This process not only ensures the accuracy of the inspection but also allows for targeted detection based on the characteristics of different task points, further improving the accuracy of hazard identification. After the inspection robot has traversed all preset task points, the collected results are analyzed to generate analysis results containing information on the type, level, and location of safety hazards. This allows managers to quickly and comprehensively understand the safety status of the construction site, providing strong support for subsequent safety management decisions. Finally, a response strategy is generated based on the analysis results, realizing the standardization and process-orientation of safety hazard management, improving the timeliness and effectiveness of rectification work, thereby comprehensively improving the safety management level of construction sites, effectively reducing the probability of safety accidents, and ensuring the safe progress of construction.

[0014] Based on the above solution, the present invention can be further improved as follows.

[0015] Furthermore, the data collection results include: At least one of the following: environmental data, vibration sensor data, temperature sensor data, gas sensor data, pressure sensor data, displacement deformation sensor data, image sensor data, and sound sensor data.

[0016] Furthermore, it also includes: If no target task corresponding to the unique identifier is found, an alarm message is issued, and if a proposed task instruction is received within a preset time, it is processed according to the proposed task instruction.

[0017] Furthermore, it also includes: The location information and preset path of the inspection robot are integrated and displayed in real time.

[0018] 2) Secondly, the present invention also provides a robot-based construction site safety hazard management system, the specific technical solution of which is as follows: The configuration module is used to configure the basic task parameters of the inspection robot so that the inspection robot can complete the basic task according to the preset path. The control module is used to: when the inspection robot arrives at any preset task point in the preset path, determine the target task corresponding to the unique identifier based on the unique identifier of the preset task point, and control the inspection robot to complete the target task and obtain the collection results; The analysis module is used to: analyze all collected results and generate analysis results when the inspection robot traverses all preset task points in the preset path; the analysis results include the type of safety hazard, the level of safety hazard, and location information. The processing module is used to generate response strategies based on the analysis results.

[0019] Based on the above solution, the present invention can be further improved as follows.

[0020] Furthermore, the data collection results include: At least one of the following: environmental data, vibration sensor data, temperature sensor data, gas sensor data, pressure sensor data, displacement deformation sensor data, image sensor data, and sound sensor data.

[0021] Furthermore, it also includes: If no target task corresponding to the unique identifier is found, an alarm message is issued, and if a proposed task instruction is received within a preset time, it is processed according to the proposed task instruction.

[0022] Furthermore, it also includes: The location information and preset path of the inspection robot are integrated and displayed in real time.

[0023] 3) In a third aspect, the present invention also provides an electronic device, the electronic device including a processor coupled to a memory, the memory storing at least one computer program, the at least one computer program being loaded and executed by the processor to enable the electronic device to perform any of the methods described above.

[0024] 4) In a fourth aspect, the present invention also provides a computer-readable storage medium storing at least one computer program, which is loaded and executed by a processor to enable a computer to implement any of the above methods.

[0025] It should be noted that the beneficial effects of the technical solutions of the second to fourth aspects of the present invention and their corresponding possible implementations can be found in the above description of the technical effects of the first aspect and its corresponding possible implementations, and will not be repeated here. Attached Figure Description

[0026] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 This is one of the flowcharts of a robot-based construction site safety hazard management method according to an embodiment of the present invention; Figure 2This is a second schematic diagram of a robot-based method for managing safety hazards at construction sites according to an embodiment of the present invention. Figure 3 This is a third flowchart illustrating a robot-based method for managing safety hazards at construction sites, according to an embodiment of the present invention. Figure 4 This is a structural framework diagram of an inspection robot for a construction site safety hazard management method based on a robot, according to an embodiment of the present invention. Figure 5 This is a structural framework diagram of an electronic device according to the present invention. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.

[0028] like Figure 1 As shown in the figure, a robot-based method for managing safety hazards at construction sites according to an embodiment of the present invention includes the following steps: S1, Configure the basic task parameters of the inspection robot so that the inspection robot can complete the basic task according to the preset path; S2, When the inspection robot arrives at any preset task point in the preset path, the target task corresponding to the unique identifier is determined based on the unique identifier of the preset task point, and the inspection robot is controlled to complete the target task and obtain the collection results. S3, and while the inspection robot traverses all preset task points in the preset path, it analyzes all collected results and generates analysis results, which include the type of safety hazard, the level of safety hazard, and location information. S4 generates a response strategy based on the analysis results.

[0029] The beneficial effects of the robot-based construction site safety hazard management method provided by this invention are as follows: By configuring the basic task parameters of the inspection robot and enabling it to complete basic tasks according to a preset path, automated inspection of construction sites can be achieved, effectively improving inspection efficiency and coverage, reducing human oversight, and ensuring the timely detection of potential safety hazards. When the inspection robot reaches any preset task point on the preset path, it determines the corresponding target task based on the unique identifier of the task point and completes the data collection. This process not only ensures the accuracy of the inspection but also allows for targeted detection based on the characteristics of different task points, further improving the accuracy of hazard identification. After the inspection robot has traversed all preset task points, the collected results are analyzed to generate analysis results containing information on the type, level, and location of safety hazards. This allows managers to quickly and comprehensively understand the safety status of the construction site, providing strong support for subsequent safety management decisions. Finally, a response strategy is generated based on the analysis results, realizing the standardization and process-orientation of safety hazard management, improving the timeliness and effectiveness of rectification work, thereby comprehensively improving the safety management level of construction sites, effectively reducing the probability of safety accidents, and ensuring the safe progress of construction.

[0030] In another embodiment of this solution, the specific implementation process of S1 is as follows: Operators input basic task parameters for the inspection robot via the control terminal or through system presets. These parameters include, but are not limited to, the coordinates of the start and end points of the inspection path, the location information of key nodes along the path, the inspection speed, the inspection time interval, and the type of detection task to be performed at specific task points. These parameters are stored in the robot's control system as the basis for its task execution. When the robot starts a task, its built-in navigation system plans an optimal preset path based on these basic task parameters and moves autonomously along that path. During movement, the robot uses its onboard sensors (such as LiDAR and cameras) to perceive its environment, ensuring it avoids obstacles and accurately reaches each task point on the preset path. Simultaneously, the robot monitors its own status in real time (such as battery level and equipment operating status) and automatically adjusts task parameters or returns to the charging area for recharging when necessary to ensure successful task completion. In this way, the inspection robot can efficiently and accurately complete basic tasks according to the preset path, providing fundamental support for subsequent safety hazard detection and analysis.

[0031] It should be further noted that obstacle avoidance movement can also be achieved using infrared rangefinders and image acquisition devices mounted on the inspection robot.

[0032] The obstacle avoidance movement process can be described as follows: Infrared rangefinders mounted on the four cardinal directions (front, back, left, and right) of the inspection robot (if installed on the left front, right front, left rear, and right rear, the same procedure applies) are followed to determine the presence of target objects in the surrounding area in real time, generating a first judgment result. If the first judgment result is negative, the inspection robot continues to move along a preset path. If the first judgment result is positive, it further determines whether the target object is a static object, generating a second judgment result. If the second judgment result is positive, the robot bypasses the static object if there is a passable passage nearby; otherwise, it replans the preset path and generates a new path. If the second judgment result is negative, the target object is identified as a moving object, and its movement path is confirmed to be towards the inspection robot, generating a third judgment result. If the third judgment result is positive, the inspection robot immediately stops all current movement to ensure it remains stationary and avoids collisions with moving objects. Simultaneously, the inspection robot issues an alarm signal to alert nearby personnel or other objects to avoid the area. While applying emergency braking, the inspection robot uses its onboard sensors (such as infrared rangefinders and cameras) to reassess the surrounding environment.

[0033] If a safe passage exists, the optimal avoidance path is selected based on the moving object's direction and speed.

[0034] If no safe passage exists, the inspection robot will remain stationary at its current position, continuously monitoring whether the moving target's path will collide with it. If no collision is detected, the robot will remain stationary until the moving target's path moves away from the robot. If a collision is detected, the robot will reverse along its original path. In this reverse movement, the robot's front end from the forward movement becomes its rear end, and vice versa. During the reverse movement, the robot will use its infrared rangefinder and image acquisition device for obstacle avoidance. Once the distance between the moving target and the inspection robot exceeds a set distance, the robot will stop reversing and again check for a collision. If no collision occurs, the robot will resume its forward movement along its original path.

[0035] It should be noted that the process of reassessing the surrounding environment includes: Detect the real-time position and velocity of a moving object and predict its possible trajectory.

[0036] Reassess whether there are safe escape routes in the surrounding area, including from the front, back, left and right sides.

[0037] Throughout the obstacle avoidance process, the inspection robot records relevant data about the obstacle avoidance event (such as the type, location, and speed of the moving object, and the obstacle avoidance strategy), and feeds this data back to the control center or interactive terminal. This data can be used for subsequent path planning optimization and robot behavior improvement.

[0038] The method for determining the area surrounding the inspection robot is as follows: Using the current position of the inspection robot as the origin and the maximum range of the infrared rangefinder as the radius, the area enclosed by these two points is the area surrounding the inspection robot.

[0039] In another embodiment of this solution, the specific process of S2 is as follows: When the inspection robot arrives at any pre-set task point on its preset path, its built-in positioning system first confirms the match between its location and the pre-set task point using high-precision sensors (such as GPS, LiDAR, or a visual recognition system). Once arrival is confirmed, the robot reads the unique identifier of that task point, which can be a QR code, RFID tag, or preset geographic coordinates. Based on this unique identifier, the robot retrieves the corresponding target task from its task database. These tasks may include, but are not limited to, image acquisition of a specific area, gas concentration detection, and equipment operation status monitoring. The robot performs these tasks by activating the corresponding sensors or detection modules. For example, if the target task is to detect equipment operation status, the robot will activate vibration sensors and image sensors to collect vibration data and capture images of the equipment's appearance; if the task is to detect ambient gases, it will activate gas sensors to collect and analyze air samples. After completing these operations, the robot performs preliminary processing on the collected data, such as image recognition and data analysis, to ensure the accuracy and completeness of the data. The final collection results are stored in the robot's data storage module, awaiting further analysis and processing.

[0040] In another embodiment of this solution, the specific process of S3 is as follows: As the inspection robot traverses all preset task points along its designated path, it collects and stores the results at each point in real time. These results include various types of information such as image data, gas concentration data, equipment operating status data, and environmental temperature and humidity data. Once the robot has completed its traversal of all preset task points, its built-in central processing unit initiates a data analysis program to comprehensively analyze all the collected results. During the analysis, the robot utilizes pre-trained artificial intelligence models, such as deep learning algorithms, to identify safety hazards in the image data, determining if there are violations such as workers not wearing safety helmets or safety harnesses; it analyzes the gas concentration data to determine if there are any leaks or excessively high concentrations of harmful gases; it analyzes the equipment operating status data to determine if there are any potential malfunctions such as abnormal vibrations or abnormal temperature increases; and it analyzes the environmental temperature and humidity data to determine if there are any fire hazards or other environmental anomalies. Based on the analysis results, the robot categorizes safety hazards according to preset classification standards, such as personnel safety hazards, equipment safety hazards, and environmental safety hazards. It then levels the hazards according to a risk assessment model, classifying them into different levels such as general hazards and major hazards. Simultaneously, it records the specific location information of each hazard, including its floor, room number, and equipment number. The robot will generate a detailed analysis report containing all identified safety hazard types, hazard levels, and corresponding precise location information, providing comprehensive and accurate data support for subsequent safety hazard handling and rectification.

[0041] In another embodiment of this solution, the specific implementation process of the response strategy is as follows: The inspection robot transmits the generated analysis results to the safety management platform, which receives and parses key data such as the type, level, and location of safety hazards. Based on preset safety management rules and emergency plans, and considering the specific type and level of the hazard, the platform automatically matches appropriate response strategies. For general hazards, the platform generates a rectification notice, clearly indicating the hazard's location, type, rectification requirements, and deadline, and sends the notice to the safety management personnel or construction teams in the responsible area. It also provides targeted rectification suggestions, such as strengthening safety training and replacing damaged equipment parts. For major hazards, the platform immediately activates the emergency response procedure, sending alarm information to key personnel such as project managers and safety officers via SMS, voice calls, or app push notifications, reminding them to take immediate action. Simultaneously, the platform generates a detailed rectification notice, including a detailed description of the hazard, emergency handling measures, rectification deadline, and subsequent review requirements, requiring the responsible person's signature for confirmation. The rectification notice also clearly points out the potentially serious consequences of the hazard, emphasizing the urgency and importance of rectification. Throughout the process, the platform will continuously track the rectification progress to ensure that potential hazards are dealt with in a timely and effective manner, thereby forming a closed-loop management process from hazard discovery to rectification completion, effectively improving the safety management level and emergency response capability of construction sites.

[0042] Furthermore, the data collection results include: At least one of the following: environmental data, vibration sensor data, temperature sensor data, gas sensor data, pressure sensor data, displacement deformation sensor data, image sensor data, and sound sensor data.

[0043] Furthermore, it also includes: If no target task corresponding to the unique identifier is found, an alarm message is issued, and if a proposed task instruction is received within a preset time, it is processed according to the proposed task instruction.

[0044] Furthermore, it also includes: The location information and preset path of the inspection robot are integrated and displayed in real time.

[0045] Example 1, such as Figures 2 to 4 As shown, 1. Hardware composition of the construction humanoid robot (inspection robot): Safety Management Model and Methods: Humanoid Structure Design: The robot adopts a humanoid structure with flexible joints and a humanoid walking mode, enabling it to move freely in the complex and ever-changing environment of construction sites, such as navigating narrow passages and climbing stairs. Compared to traditional wheeled or tracked robots, it has better environmental adaptability and maneuverability. Its height and body shape are designed to fit the common spatial dimensions of construction sites, facilitating its movement within the construction area without causing excessive interference to construction activities.

[0046] Safety Management Model and Methods: Multi-sensor Fusion Module: The robot can be equipped with vibration sensors, temperature sensors, gas sensors, pressure sensors, displacement and deformation sensors, image sensors, strain sensors, and composite environmental sensors. These sensors act as the robot's "sensory organs," collecting real-time information about the construction site environment from multiple dimensions, enabling comprehensive perception of the site environment. For vision sensors, a high-definition camera is installed in the head, possessing ultra-wide-angle shooting capabilities and 360-degree rotation, enabling real-time acquisition of surrounding environmental images. Simultaneously, binocular vision technology is used to accurately measure distances and identify the spatial position of objects, assisting the robot in autonomous navigation in complex environments and accurately identifying safety risks. For auditory sensors, a built-in high-sensitivity microphone array can collect various sounds at the construction site, such as abnormal equipment operation sounds and worker cries for help, using sound analysis technology to determine the presence of safety hazards. In addition, gas sensors are equipped to detect the concentration of harmful gases in the construction site air, such as carbon monoxide, formaldehyde, and dust; temperature and humidity sensors monitor environmental temperature and humidity, preventing safety problems caused by abnormal temperatures and humidity, such as fire hazards and material deterioration.

[0047] Safety Management Model and Methods Energy and Power System: The robot is equipped with a high-performance rechargeable battery, providing long-lasting operation to meet the needs of extended inspections. The battery management system monitors the battery status in real time; when the battery level falls below a set threshold, the robot automatically plans a path to the charging area for recharging. The power system uses high-efficiency motors to drive joint movements, ensuring the stability and flexibility of the robot's walking and turning actions, while also possessing excellent torque control capabilities, enabling it to operate normally under load (such as carrying inspection equipment).

[0048] 2. Artificial Intelligence (AI) Security Risk Identification Technology: Artificial intelligence (AI) technology is used to construct various safety risk identification models. For visual information, deep learning algorithms are used to analyze images captured by high-definition cameras. For example, a helmet-wearing recognition model is trained. By learning from a large number of images of workers correctly wearing and not wearing helmets, the model extracts features such as color, shape, and texture of the head area. When a new image is input, the model can quickly determine whether the worker is wearing a helmet. Similarly, for equipment operating status, the outline of the machinery, the position and movement of its moving parts are identified to determine whether the equipment is operating normally and whether there are any violations. For auditory information, a pre-trained sound recognition model is used to classify and detect anomalies in the sound data collected by the auditory sensor. For example, the sound of normal equipment operation has specific frequencies and waveform patterns. When a sharp, abnormal noise that differs significantly from the normal pattern is detected, the model compares it with an existing risk sound database to determine whether there are safety hazards such as equipment malfunctions. If an emergency cry for help from a worker is captured, it is immediately determined that there may be a risk of injury. The robot's controller employs a data fusion algorithm to integrate data from multiple sources, including visual, auditory, and gas sensors. When the visual sensor detects smoke in an area, the smoke sensor detects an increase in smoke concentration, and the sound recognition system does not detect normal ventilation equipment operation, a comprehensive assessment is made that the area may pose a fire hazard. This multi-source data fusion significantly improves the accuracy and reliability of safety risk identification.

[0049] 3. Security Management System Architecture: Safety Management Mode and Methods: Data Transmission and Networking Module: The robot has a built-in high-performance wireless communication module that supports multiple communication protocols such as 4G and 5G, ensuring stable data transmission with the safety management platform and other devices. When the robot identifies a safety risk, it packages the risk information (including risk type, location, discovery time, preliminary assessment of risk severity, relevant image and sound data, etc.) according to the data format specified by the safety platform and uploads it to the safety management platform in real time via the wireless communication module. Simultaneously, the robot can receive instructions from the safety management platform, such as adjusting the inspection path and key inspection areas, enabling remote control and real-time interaction. The robot also transmits risk information to the BIM building model, associating it with information such as the building structure and equipment facilities within the model. For example, the specific location of the safety hazard is marked in the BIM model and displayed to safety management personnel in an intuitive 3D model format, facilitating a quick understanding of the risk situation.

[0050] 4. Hazard identification and management: After receiving risk information uploaded by the robot, the safety management platform automatically summarizes and statistically analyzes the categories and levels of hazards. Based on preset hazard classification standards and level assessment rules, safety hazards are divided into different categories (such as personnel safety hazards, equipment safety hazards, environmental safety hazards, etc.) and levels (such as general hazards, major hazards, etc.). Managers can use the platform to view the quantity, distribution, and development trends of various hazards at any time, providing data support for developing targeted safety management measures.

[0051] 5. Rectification suggestions generated: The robot has a built-in comprehensive safety knowledge base, covering corrective measures for various common safety risks. Upon identifying a safety risk, the robot matches corresponding corrective suggestions from the knowledge base based on the risk type. For example, for the risk of workers not wearing safety helmets, the corrective suggestion is to "immediately require workers to stop work, and only allow them to continue working after they have worn standard safety helmets. Safety education should be conducted for all construction personnel, emphasizing the importance of correctly wearing safety helmets." For equipment malfunction hazards, if a vibration sensor detects abnormal equipment vibration, the corrective suggestion is to "immediately stop equipment operation, arrange for professional maintenance personnel to conduct a comprehensive inspection of the equipment, repair or replace damaged parts according to the cause of the malfunction, and conduct a trial run after repairs to ensure normal equipment operation." For fire hazards, if smoke is detected in an area and the temperature rises abnormally, the corrective suggestion is to "immediately evacuate surrounding personnel, activate nearby fire extinguishing equipment to extinguish the fire, and simultaneously notify the fire department to investigate the cause of the fire, conduct a comprehensive rectification of the fire hazard area, improve fire-fighting facilities, and strengthen daily fire prevention patrols."

[0052] The robot uploads rectification suggestions and risk information to the safety management platform and lists them in detail in the rectification notice, so that the person in charge can clearly understand the rectification direction and specific operations.

[0053] 6. Alarm and Rectification Notice: For significant safety hazards and issues requiring urgent attention, the robot and safety management platform are equipped with wireless alarm functions. Upon identification of such risks, an alarm message is immediately sent to the mobile devices of relevant personnel (such as project managers and safety officers), reminding them to address the issue promptly. Simultaneously, the safety management platform automatically generates a rectification notice, which details the location and type of the hazard, rectification requirements, rectification deadline, and rectification suggestions. The notice is then sent to the relevant responsible personnel for signature confirmation via the system. The responsible personnel can view the rectification notice on their mobile devices or the platform and provide feedback on the rectification progress, achieving closed-loop management of safety hazard rectification.

[0054] In the above embodiments, although the steps are numbered S1, S2, etc., they are only specific embodiments given by the present invention. Those skilled in the art can adjust the execution order of S1, S2, etc. according to the actual situation, which is also within the protection scope of the present invention. It can be understood that in some embodiments, some or all of the above embodiments may be included.

[0055] This invention also provides a robot-based construction site safety hazard management system, the specific technical solution of which is as follows: The configuration module is used to configure the basic task parameters of the inspection robot so that the inspection robot can complete the basic task according to the preset path. The control module is used to: when the inspection robot arrives at any preset task point in the preset path, determine the target task corresponding to the unique identifier based on the unique identifier of the preset task point, and control the inspection robot to complete the target task and obtain the collection results; The analysis module is used to: analyze all collected results and generate analysis results when the inspection robot traverses all preset task points in the preset path; the analysis results include the type of safety hazard, the level of safety hazard, and location information. The processing module is used to generate response strategies based on the analysis results.

[0056] It should be noted that the beneficial effects of the robot-based construction site safety hazard management system provided in the above embodiments are the same as those of the robot-based construction site safety hazard management method described above, and will not be repeated here. Furthermore, the system provided in the above embodiments is only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the system can be divided into different functional modules according to the actual situation to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiments belong to the same concept, and their specific implementation process is detailed in the method embodiments, and will not be repeated here.

[0057] like Figure 5 As shown, an electronic device 300 according to an embodiment of the present invention includes a processor 320 coupled to a memory 310. The memory 310 stores at least one computer program 330, which is loaded and executed by the processor 320 to enable the electronic device 300 to implement any of the above-mentioned methods. Specifically: The electronic device 300 can vary considerably due to differences in configuration or performance. It may include one or more processors 320 (Central Processing Units, CPUs) and one or more memories 310. The memories 310 store at least one computer program 330, which is loaded and executed by the processors 320 to enable the electronic device 300 to implement the robot-based construction site safety hazard management method provided in the above embodiments. Of course, the electronic device 300 may also have wired or wireless network interfaces, a keyboard, and input / output interfaces for input and output. It may also include other components for implementing device functions, which will not be elaborated upon here.

[0058] An embodiment of the present invention provides a computer-readable storage medium storing at least one computer program, which is loaded and executed by a processor to enable a computer to implement any of the above-described methods.

[0059] Alternatively, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CD-ROM), magnetic tape, a floppy disk, and an optical data storage device, etc.

[0060] In an exemplary embodiment, a computer program product or computer program is also provided, which includes computer instructions stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the electronic device to perform any of the methods described above.

[0061] It should be noted that the terms "first" and "second" in the specification and claims of this application are used to distinguish similar objects and represent a limitation on a specific order or sequence. Where appropriate, the order of use for similar objects can be interchanged so that the embodiments of this application described herein can be implemented in an order other than that shown or described.

[0062] Those skilled in the art will recognize that this invention can be implemented as a system, method, or computer program product. Therefore, this disclosure can be specifically implemented in the following forms: it can be entirely hardware, entirely software (including firmware, resident software, microcode, etc.), or a combination of hardware and software, generally referred to herein as a "circuit," "module," or "system." Furthermore, in some embodiments, the invention can also be implemented as a computer program product contained in one or more computer-readable media, which includes computer-readable program code.

[0063] Any combination of one or more computer-readable media may be used. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium can be, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution system, apparatus, or device.

[0064] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A robot-based method for managing safety hazards at construction sites, characterized in that, include: Configure the basic task parameters of the inspection robot so that the inspection robot can complete the basic task according to the preset path; When the inspection robot arrives at any preset task point in the preset path, the target task corresponding to the unique identifier of the preset task point is determined based on the unique identifier, and the inspection robot is controlled to complete the target task and obtain the collection results. And while the inspection robot traverses all preset task points in the preset path, it analyzes all the collected results and generates analysis results, which include the type of safety hazard, the level of safety hazard, and location information. Based on the analysis results, a response strategy is generated.

2. The method for managing safety hazards at construction sites based on robots according to claim 1, characterized in that, The collected results include: At least one of the following: environmental data, vibration sensor data, temperature sensor data, gas sensor data, pressure sensor data, displacement deformation sensor data, image sensor data, and sound sensor data.

3. The method for managing safety hazards at construction sites based on robots according to claim 1, characterized in that, Also includes: If no target task corresponding to the unique identifier is found, an alarm message is issued, and if a proposed task instruction is received within a preset time, the task is processed according to the proposed task instruction.

4. The method for managing safety hazards at construction sites based on robots according to claim 1, characterized in that, Also includes: The location information of the inspection robot and the preset path are integrated and displayed in real time.

5. A robot-based construction site safety hazard management system, characterized in that, include: The configuration module is used to configure the basic task parameters of the inspection robot so that the inspection robot can complete the basic task according to the preset path. The control module is used to: when the inspection robot arrives at any preset task point in the preset path, determine the target task corresponding to the unique identifier based on the unique identifier of the preset task point, and control the inspection robot to complete the target task and obtain the collection results; The analysis module is used to: analyze all collected results and generate analysis results when the inspection robot traverses all preset task points in the preset path; the analysis results include the type of safety hazard, the level of safety hazard, and location information. The processing module is used to generate a response strategy based on the analysis results.

6. The robot-based construction site safety hazard management system according to claim 5, characterized in that, The collected results include: At least one of the following: environmental data, vibration sensor data, temperature sensor data, gas sensor data, pressure sensor data, displacement deformation sensor data, image sensor data, and sound sensor data.

7. A robot-based construction site safety hazard management system according to claim 5, characterized in that, Also includes: The alarm module is used to: issue an alarm message when no target task corresponding to the unique identifier is found, and process the proposed task instruction when a proposed task instruction is received within a preset time.

8. A robot-based construction site safety hazard management system according to claim 5, characterized in that, Also includes: The display module is used to integrate and display the location information of the inspection robot and the preset path in real time.

9. An electronic device, characterized in that, The electronic device includes a processor coupled to a memory storing at least one computer program, which is loaded and executed by the processor to enable the electronic device to perform the method as described in any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one computer program, which is loaded and executed by a processor to enable the computer to perform the method as described in any one of claims 1 to 4.

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