1613 results about "Personnel safety" patented technology

The invention discloses an intelligent management system for nuclear power plant personnel situation prediction and risk assessment, and relates to the field of intelligent safety management systems, and the system comprises a data collection unit, a multi-dimensional situation awareness unit, a risk prediction and assessment unit, an intelligent decision intervention unit and a visual interaction unit. And multi-source data acquisition, real-time situation construction, dynamic risk prediction and evaluation, intelligent early warning intervention and information visualization are realized. According to the invention, real-time monitoring, dynamic risk prediction and intelligent management of the safety state of the operating personnel can be realized, and the defects of real-time monitoring, dynamic prediction and intelligent management of the operating personnel in a high-risk area in the prior art are overcome, so that the safety management level is improved, the life safety is guaranteed, and the accident occurrence probability is reduced.

The invention discloses a substation personnel safety operation early warning system and method fusing UWB and imaging technology, and the system comprises the steps: a plurality of cameras are distributed in all regions in a substation, collect the image information in the substation in real time, and transmit the image data to a data fusion and analysis module; the UWB tag is configured to a person entering the transformer substation and periodically transmits UWB signals; the UWB base station receives the UWB signal and transmits the UWB signal to the data fusion and analysis module; the data fusion and analysis module carries out deep fusion on data acquired by the camera monitoring system and the UWB system; the weight evaluation module is used for comprehensively evaluating factors such as the safety set distance, the walking direction and the walking speed of the personnel according to a preset weight standard; and the early warning module triggers safety early warning of a corresponding level according to the safety risk score. The safety of transformer substation personnel is effectively guaranteed, and safety accidents caused by improper walking of the personnel are reduced.

A tool for hanging and disassembling a grounding wire of a power transmission line tower through an unmanned aerial vehicle comprises the unmanned aerial vehicle, a detachable connecting rod frame is installed on the unmanned aerial vehicle, and two hanging rings are connected to the bottom end of the connecting rod frame. And the high-altitude falling risk and the induced electric shock hidden danger caused by manual tower climbing are thoroughly eliminated. An operator can perform remote control on the ground and is prevented from being directly exposed to a high-voltage electric field and a severe tower environment, so that the life safety of the operator is fundamentally guaranteed, and the system conforms to the development trend of'few-person and unmanned 'operation and maintenance of an intelligent power grid. The unmanned aerial vehicle can quickly pass through complex terrains to approach an operation point, is particularly suitable for special tower positions such as mountainous areas and cross rivers, greatly improves the operation efficiency, and remarkably improves the operation safety. A traditional manual grounding wire hanging and dismounting mode is changed, the device is not influenced by the terrain and the tower type, the operation process is convenient and fast, the maintenance operation time is shortened, the labor intensity is reduced, and the personal safety is ensured.

The invention provides a railway construction safety management system based on a global linkage system, and belongs to the technical field of railway construction management, and the system comprises a material resource management module which carries out the management of material resources; the environment risk early warning module monitors the surrounding environment condition of the construction area in real time and performs assessment and early warning on the environment risk; the personnel safety management module is used for acquiring position and state information of operating personnel in real time, and evaluating and early warning operation behaviors of the operating personnel; the equipment safety management module is used for collecting equipment operation data in real time, analyzing equipment operation states and operation behaviors and predicting operation risks, equipment faults and maintenance requirements; the to-do list management module is used for uniformly managing and tracking various tasks and sending task information to related personnel; and the station yard global early warning module is used for integrating data of other modules and carrying out centralized data processing and analysis. According to the scheme, information intellectualization is realized, the management efficiency is effectively improved, and the construction collaboration is enhanced.

The invention relates to the technical field of target detection, and provides a track operator safety wearing detection method, device and equipment and a storage medium, and the method comprises the steps: collecting a video image of a track operation construction site, and inputting the video image into a pre-trained safety wearing detection model, detecting the safety wear of each operator in the video image to obtain a detection result of the safety wear of each operator; wherein the safe wearing detection model is constructed by taking a memory efficient visual converter with a cascade grouping attention mechanism as a backbone network of a real-time target detector model and taking an ADown downsampling layer as a downsampling layer of the real-time target detector model. Through the constructed safe wearing detection model, the detection efficiency and the detection effect of safe wearing of the operating personnel are improved, the requirements of real-time performance and accuracy of safe wearing condition detection of the operating personnel in a rail transit scene can be met, and the workload of safety patrol of management personnel is reduced.

The invention provides a coal mine personnel safety situation dynamic sensing method, device and equipment and a medium, and the method comprises the steps: carrying out the time-space reference unification of the obtained multi-source heterogeneous data of underground operation personnel, and obtaining the time-space synchronization feature data, which comprises positioning data, environment data and inertial motion data; inputting the positioning data and the inertial motion data into a pre-trained meta-learning behavior recognition model to obtain a behavior label of the operator; constructing a dynamic coupling risk map in combination with the behavior label and the environment data; and performing space-time convolution operation on the dynamic coupling risk map to obtain a prediction risk distribution map and generate an individual risk avoiding path. By adopting the method, the underground safety production level of coal mine personnel can be improved.

The invention discloses a Beidou intelligent safety helmet with an environment monitoring function, which relates to the field of safety helmets and comprises an inspection safety helmet, a signal transmission unit and a control terminal. According to the invention, through monitoring the environmental parameters and the body parameters of the operating personnel, the overall health condition of the personnel is comprehensively evaluated, through the comprehensive and accurate evaluation, potential safety hazards and health risks can be found in time, a scientific basis is provided for taking corresponding measures, early warning is timely and accurately carried out, and the working efficiency is improved. The safety of operators is guaranteed by monitoring the environment where the operators are located in real time, pre-judging dangers and early warning, an alarm signal is automatically sent out when the operators fall down and are impacted, the operators are reminded that the operators are possibly in a dangerous state, meanwhile, the position information of the operators is accurately recorded, and the motion trails of the operators are traced, so that the safety of the operators is guaranteed. And rescue workers can quickly find an accident site.

The invention relates to the technical field of intelligent construction site safety management and Internet of Things, and discloses a construction personnel safety protection system and method for intelligent construction site safety management, and the system comprises a data collection module, a four-dimensional space-time tensor construction module, an incremental tensor decomposition module, a dynamic risk field modeling module, and a federated learning parameter updating module. A multistage safety response module; the method comprises the steps of collecting personnel data through intelligent equipment and constructing a four-dimensional tensor, extracting core features through dynamic decomposition to establish a risk propagation model, optimizing parameters in combination with federal learning, and finally triggering three-level response according to a risk field gradient to realize full-process closed-loop management and control of construction safety. According to the method, multi-modal data are fused to construct a four-dimensional tensor, incremental decomposition is carried out to extract dynamic features, a physical field model is coupled to predict risks, federated learning is used for collaborative privacy optimization, hierarchical response is carried out for closed-loop linkage control, and construction safety and precise protection and efficient emergency are realized.

The invention discloses an intelligent monitoring system and method for the construction process of a suspension bridge. The system comprises a data acquisition module and a digital twinborn control platform which are connected with each other. The data acquisition module acquires bridge body structure data, construction equipment operation data and constructor safety data in real time through a multi-source sensor; in the digital twinborn control platform, a bridge body state monitoring unit constructs a three-dimensional dynamic twinborn model of the suspension bridge by fusing a BIM model and real-time structural data, and maps the state of each part of the bridge body in real time; the construction equipment monitoring unit adaptively adjusts equipment parameters according to a preset analysis model to guarantee normal operation of equipment; the operator safety monitoring unit is combined with the bridge body data and the safety data to ensure the construction safety; and the trend early warning analysis unit is used for early warning potential construction risks in advance according to the real-time data. Accurate quality control and management support is provided for suspension bridge construction, intelligent and efficient execution of construction projects can be promoted, and project quality and safety are ensured.

The invention relates to the technical field of high-risk operation risk early warning, in particular to a high-risk operation personnel dynamic risk early warning method and system based on multi-modal fusion, and the system synchronously collects physiological signals, behavior data and environment data of workers through a multi-modal data collection module, carries out the denoising, normalization and time alignment of a data preprocessing module, and carries out the early warning of the dynamic risk of the workers. Key features are extracted by the feature extraction module, sequential feature extraction and cross-modal collaborative learning are carried out by the multi-modal data fusion module adopting a Transform model, finally, a dynamic comprehensive risk index is output by the risk prediction module, and an early warning output module sets an early warning level according to the risk index and gives an alarm. According to the dynamic risk early-warning method and system for the high-risk operating personnel based on multi-modal fusion, the risk can be predicted 5-10 minutes in advance, the false alarm rate is reduced to 5% or below, the composite risk identification accuracy rate exceeds 90%, the method and system can adapt to individual differences, and the safety of the high-risk operating personnel is effectively guaranteed.

The invention discloses an intelligent high-altitude operation personnel safety belt wearing monitoring method and system, and the method comprises the steps: obtaining environment information, judging an inspection strategy, carrying out the inspection of an unmanned aerial vehicle, obtaining sensing data, analyzing the data, feeding back, completing the inspection, and managing the life cycle. The system comprises an Internet of Things equipment management module, an unmanned aerial vehicle equipment management module, an information processing module, an AI analysis module, an abnormal alarm processing module and an information storage module. According to the method, the actual wearing condition of the safety belt can be accurately judged, correlation verification is performed according to the visual analysis result and the actual physical state of the safety belt, the probability of misjudgment is reduced, and the safety belt wearing recognition accuracy is improved.

The invention relates to a fire-fighting evacuation path optimization method for a crowded place. The method comprises a sensor module; an image acquisition module; a personnel counting module; a voice broadcast module; and a data processing module. The method comprises the following steps: performing real-time analysis on a monitoring picture acquired by an image acquisition module; for each detected personnel target, extracting a visual feature vector, and performing modeling and prediction on the movement track of the personnel in combination with spatio-temporal context information; a global optimal evacuation strategy is realized; and broadcasting the real-time evacuation strategy obtained by the collaborative evacuation model by voice until all people are evacuated safely. In the evacuation process, the states of people in all areas are obtained in real time, evacuation decisions are dynamically updated, and voice broadcast guidance is carried out. According to the invention, through multi-modal information fusion and a deep learning algorithm, intelligent and personalized evacuation guidance for large-scale crowds is realized, and the evacuation efficiency and safety are effectively improved.

The invention provides an evacuation strategy generation method for a hydropower station, and the method comprises the steps: obtaining the physical space data of the hydropower station, including the landform, building structure and equipment layout data; constructing a dynamic risk model based on the physical space data, and identifying a risk source type and a diffusion path; the personnel distribution data is collected through the positioning terminal, and an evacuation demand map is generated. The safe traffic capacity of the limited evacuation channel is calculated, and an initial evacuation path set is generated in combination with the evacuation demand map; performing coupling optimization on the initial evacuation path set based on three factors of path length, risk exposure duration and crowd density change rate; the state change of a risk source is dynamically monitored through a risk sensor network, strategy updating is triggered when the risk diffusion speed exceeds a preset threshold value, and finally an optimized evacuation strategy is output to terminal execution equipment. The method can achieve the real-time updating and efficient optimization of the evacuation strategy of the hydropower station, and improves the evacuation efficiency and the personnel safety guarantee capability.

The invention relates to the technical field of electric power simulation practical training safety protection, and discloses a quadruple safety protection system and method for electric power simulation practical training, and the system comprises a central control unit, and a circuit breaker unit, a safety power supply unit, a virtual load power supply unit and an electric leakage monitoring unit which are in communication connection with the central control unit. The circuit breaker unit, the safety power supply unit, the virtual load power supply unit and the electric leakage monitoring unit are connected in sequence; the circuit breaker unit, the safety power supply unit, the virtual load power supply unit and the electric leakage monitoring unit respectively carry out fault judgment and send a fault judgment result to the central control unit; and the central control unit generates a corresponding cooperative control instruction according to the fault judgment result so as to control other units to perform cooperative protection. Through a quadruple protection system, safe operation of electric power simulation practical training is guaranteed, the risks of equipment damage and personnel safety accidents are effectively reduced, and the safety, reliability and practicability of electric power simulation practical training are improved.

The invention belongs to the related technical field of underground engineering safety, and provides an underground roadway multi-node water gushing disaster emergency decision-making method and system, which comprehensively considers water gushing pressure, roadway resistance and fluid characteristics, establishes a water gushing forward arrival time prediction model, and can control the prediction error within + / -15%; establishing a collaborative optimization framework of an evacuation path and a plugging strategy, bringing personnel safe evacuation and plugging device energy consumption into a unified decision-making system, and dynamically balancing personnel safety and plugging device energy consumption; a personnel physical power index is introduced into the improved A * algorithm, the evacuation priority is dynamically adjusted, the water burst forward arrival time margin and the personnel physical power index are added into a path cost function to optimize weak personnel path selection, and the overall emergency response efficiency is remarkably improved.

The invention relates to the technical field of dangerous odor source leakage positioning, and discloses an odor source positioning research method based on spiral flight and a self-adaptive fruit fly mechanism, comprising the following steps: S1, initializing various parameters and population number; s2, using tent chaotic mapping to initialize a fruit fly group position and a current fruit fly individual concentration smelli; the smell source positioning research method based on the spiral flight and the self-adaptive fruit fly mechanism is based on a fruit fly optimization algorithm, an advanced learning strategy is fused, the speed and accuracy of a mobile robot for positioning a smell source are improved, through the new strategy, the robot can quickly respond to potential gas leakage and accurately position a leakage source, and the safety of the robot is improved. Therefore, measures are taken in time, possible fire or explosion accidents are prevented, personnel safety is protected, economic losses are reduced, and the safety and reliability of industrial production are greatly improved.

The invention belongs to the technical field of intelligent safety supervision, and particularly relates to a coal mine personnel safety behavior analysis method, which synchronously associates a management instruction, personnel behavior data, an equipment state and environment parameters according to timestamps through a management platform, obtains the current position of a personnel in real time, dynamically judges whether the personnel moves correctly or not, and improves the safety of the personnel. When a person approaches each maintenance position, automatically checking whether the maintenance position has omission or not, if the omission is found, generating a rechecking instruction in real time and pausing subsequent operation authorization, if the omission is not found, carrying out consistency checking on the operation sequence, the operation video content and the standard regulation, and if the checking does not reach the standard, carrying out rechecking on the operation video content and the standard regulation; if yes, second-level early warning is triggered immediately, a recheck mechanism is started, subsequent operation authorization is paused by dynamically monitoring operation compliance and combining authority control, personnel are prevented from entering a subsequent maintenance position with an illegal state, and the problem of multi-position continuous violation which can only be traced afterwards in an existing method is thoroughly solved.

The invention relates to the technical field of speed reducer testing, and discloses a multifunctional testing device for multi-specification dual-lead speed reducers. The device comprises a liftable speed reducer mounting plate, a speed reducer is placed on the speed reducer mounting plate, a motor is detachably and fixedly mounted on the speed reducer mounting plate, the output end of the motor is in transmission connection with the input end of the speed reducer, and the output end of a magnetic powder brake is in transmission connection with a test output shaft. Two toothed plates are slidably connected to the speed reducer mounting plate in the horizontal direction, a rotating rod located between the two toothed plates is rotatably connected to the speed reducer mounting plate, the rotating rod is fixedly sleeved with a first gear, and the first gear is meshed with the two toothed plates at the same time. Even if the interior of the speed reducer is damaged under the overload condition, large-amplitude displacement or bounce-off cannot be generated, the safety of surrounding personnel is prevented from being threatened, meanwhile, the magnetic powder brake and the motor can be protected, and the magnetic powder brake and the output shaft of the motor are prevented from being impacted and damaged.

The invention provides an electric power engineering full-period safety supervision method, and relates to the technical field of electric power engineering safety monitoring, and the method comprises the steps: collecting the electromagnetic field intensity and environment humidity data of a hot-line work region, obtaining three-dimensional space coordinates in real time through combining with a positioning tag on a safety helmet of a constructor, and dynamically calculating the three-dimensional boundary of a dangerous region; a comprehensive proximity index is constructed by analyzing the spatial relationship and the moving trend of the constructors and the dangerous boundary, the trend of the constructors approaching the dangerous area is judged in real time, and early warning is given out through the dynamically adjusted vibration frequency. In this way, the problems that in the prior art, dangerous area division is not accurate, monitoring of the movement trend of constructors is insufficient, and early warning response is single can be solved, and the safety monitoring capacity of the hot-line work environment is greatly improved.

The invention provides a petroleum and natural gas station operator labor protection appliance wearing detection method and system, and relates to the technical field of article detection, and the method comprises the steps: collecting the image data of an operator in real time through an image collection device, and calling a deep learning model to detect the wearing state of a labor protection appliance; according to the method, the technical parameters, the equipment state and the hazard source distribution data are combined to evaluate the hazard level and generate a wearable normative score and a risk trend value, a deep reinforcement learning algorithm is adopted to execute management and control measures, and detection parameters and processing strategies are continuously optimized, so that intelligent and dynamic management of safety protection of operators is realized, and the safety operation level of a station yard is improved.

The invention relates to the technical field of engineering safety management, and particularly discloses an engineer safety management method and system based on big data, and the method comprises the steps: collecting all data of a construction site in real time; performing space-time alignment and fusion processing on the collected data to generate multi-modal fusion data; training a multi-modal risk assessment model based on the obtained construction big data; performing construction risk feature extraction on the collected data based on the multi-modal risk assessment model, and outputting construction risk features; and performing safety response analysis on the multi-modal fusion data based on the construction risk features, and generating a safety response result. All data of a construction site are fused, and a multi-modal data set is constructed, so that full-dimensional monitoring of the construction site is realized; a big data training model is matched based on construction types, and space-time correlation analysis of risk features is achieved; a differentiated early warning mechanism for personnel, equipment and environment is generated, multi-agent co-processing is supported, and accident loss is reduced.

The invention discloses an inorganic solid material analysis system and method, and relates to the technical field of material analysis, the inorganic solid material analysis system comprises an oxygen-nitrogen-hydrogen analyzer, a first robot, a second robot, a sample preparation clamp, a sample preparation driving device, a deoiling container, an air blower, a sample disc, a cleaning dust removal assembly and a controller; the first robot can insert one end of a rough blank of a to-be-processed sample into the sample preparation clamp, and the first robot can take out the to-be-analyzed sample from the deoiling container, move the to-be-analyzed sample to the air blower and place the to-be-analyzed sample into the sample disc; the second robot can take out a to-be-analyzed sample from the sample disc and put the to-be-analyzed sample into the oxygen-nitrogen-hydrogen analyzer, the second robot can move away an old crucible on a lower electrode of the oxygen-nitrogen-hydrogen analyzer, and the second robot can move the cleaning and dust removing assembly into a hearth or the lower electrode of the oxygen-nitrogen-hydrogen analyzer; the second robot can place the new crucible on a lower electrode of the oxygen-nitrogen-hydrogen analyzer; according to the invention, manpower can be effectively saved, and personnel safety is ensured.

The invention relates to the technical field of substation detection equipment, in particular to a fault discharge detection device for a main transformer of a substation, which comprises a base, a first bearing plate is arranged on the side of a vertical supporting beam, a right-angle support is connected to a first servo rotating seat on the side of the first bearing plate, and a second bearing plate is fixedly mounted on the right-angle support. A horizontal supporting arm is installed on a second servo rotating seat on the second bearing plate, a bearing rotary table is installed at one end of the outer side of the horizontal supporting arm, a stabilizing screw rod is installed on a loading plate at one end of the outer side of the bearing rotary table, an adjusting screw rod on the periphery of the stabilizing screw rod is sleeved with a detection probe rod, and a third bearing plate is fixedly installed on the other side of the loading plate; an infrared camera probe is arranged on the outer side of the third bearing plate. According to the invention, through a matching structure of a mechanical-electrical integration design and a space kinematic chain, full-angle coverage of the main transformer of the transformer substation can be realized, a safe operation space is given to electric power engineering personnel, and the core problems of high signal supply omission ratio and high personnel safety risk are solved.

The invention discloses a deep mine rockburst risk grading early warning and active pressure relief system and method, and relates to the technical field of rockburst risk early warning. The system comprises a multi-source parameter sensing module, a risk grading early warning module, an active pressure relief execution module, an intelligent control center module and a data storage and interaction module, wherein the multi-source sensing module comprises a distributed sensor and a mobile inspection robot; risk early warning is divided into four levels, and sensitive features are extracted after data are preprocessed; active pressure relief comprises fixed-point and regional pressure relief equipment; the control center uses a redundant architecture to automatically match a pressure relief scheme; and data storage retains more than or equal to 5 years of data, and multi-system docking is supported. The rock burst early warning accuracy and the pressure relief pertinence are improved, multi-module closed-loop cooperation is achieved, emergency response is efficient, false alarm, missing alarm and pressure relief blindness are reduced, roadway stability and personnel safety are guaranteed, and support is provided for safe and efficient mining of deep mines.

The invention discloses a multi-dimensional flood risk assessment method and system oriented to personnel, traffic and economy. The method comprises the following steps: acquiring multi-source data, and generating flood spatio-temporal evolution data through hydrodynamic simulation; constructing a time-dependent traffic network driven by flood power, wherein the road traffic capacity is dynamically attenuated along with hydrodynamic parameters; on the basis of a space-time racing mechanism, calculating the time difference between the personnel danger arrival time and the shortest evacuation time consumption, and constructing an evacuation time margin and evacuation success probability model so as to dynamically correct the static personnel exposure risk and obtain a personnel safety risk index; and in combination with physical state attenuation and asset exposure characteristics, traffic operation and economic loss risk indexes are calculated respectively, and multi-dimensional fusion evaluation is carried out. According to the method, the problem that dynamic interaction between flood routing and personnel evacuation is neglected in traditional static assessment is solved, accurate calculation of personnel trapped probability and critical road section rush-through marginal contribution is realized, and scientific decision support is provided for flood control command and emergency rescue.

The invention provides a petroleum and petrochemical scene personnel safety violation identification method based on video analysis, and relates to the technical field of petroleum and petrochemical safety monitoring, and the method comprises the steps: detecting a personnel target through obtaining video data, constructing a resident migration chain to identify a repeated round-trip region, and judging the overlapping condition with a dangerous equipment warning region. And analyzing a personnel action sequence to identify out-of-standard behaviors, verifying the compliance of the operation tool, and calculating a risk value to generate an alarm. According to the method, the safety violation behaviors in the petrochemical area can be automatically identified, the safety supervision efficiency is improved, and the safety accident risk is reduced.

The invention discloses an unsafe behavior monitoring system, and the system comprises a real-time monitoring module which is used for obtaining a video image of a construction site scene in real time; the early warning module is used for detecting unsafe behaviors of the video picture and performing early warning on the unsafe behaviors; the personnel safety file management module is used for identifying identity information of construction personnel and recording working states and unsafe behaviors of the construction personnel; the site safety management module is used for calculating a coverage area and a blind area of the camera according to the planar graph information of the construction site, the position of the camera and the visual field; the conversational query module is used for analyzing the query request content of the user, retrieving the related video content according to the query request content and outputting a retrieval result meeting the query requirement; and the safety education training module is used for generating education training contents according to the detected unsafe behaviors. The monitoring efficiency is improved; and meanwhile, analysis of video contents based on different fine granularities can be completed, so that the safety monitoring precision and the monitoring effect are improved.

The utility model provides an inner cylinder cake feeding assembly, inner cylinder filling equipment and a combined firework production line, and relates to the technical field of firework production equipment, the inner cylinder cake feeding assembly comprises an action mechanism, and a transfer stock bin, a gripper and a pushing mechanism are arranged on the action mechanism; the transfer stock bin and the pushing mechanism are arranged on the two opposite sides of the gripper correspondingly. The action mechanism can drive parts connected to the action mechanism to move; a transfer trough for accommodating the inner cylinder is formed in the transfer bin; a bin gate mechanism capable of opening or closing the transfer trough is arranged at the bottom of the transfer trough; the gripper is used for gripping an inner cylinder cake; and the pushing mechanism is used for pushing the inner barrel grabbed by the grabber into the transfer trough. According to the inner cylinder cake feeding assembly, automatic feeding can be achieved, personnel isolation is facilitated, and personnel safety is guaranteed.

The utility model belongs to the technical field of construction safety ropes, and particularly relates to a safety rope fixing structure for building construction, which comprises an anti-falling fixing box, a locking structure for fixing a safety rope is arranged in the anti-falling fixing box in a limiting and sliding manner, and a fixing and locking table is mounted on one side of the locking structure. The other side of the locking structure is in driving connection with a movable locking table sliding on the locking structure through an electric telescopic rod, and the bottom of the locking structure is connected with a clamping convex block and a clamping concave block through telescopic springs. The locking structure moves downwards along the limiting guide rod under the pulling force of the safety rope, the electric telescopic rod is started through the contact type stroke limiting switch to drive the movable locking table to be matched with the fixed locking table, the safety rope is seized through the locking block and cannot slip off, and then the locking protection effect on the safety rope is achieved; and meanwhile, the clamping convex block and the clamping concave block slide downwards along the inclined guide sliding table and are mutually extruded and close to each other, the safety rope is firmly locked through the clamping convex strip, and the safety guarantee capacity of constructors is improved.

The invention provides an intelligent management system based on a digital twinborn technology, and the system comprises a data collection unit, a digital twinborn construction unit, a pollution source detection unit, a diffusion simulation unit, and a risk assessment unit. The digital twinborn construction unit can construct a digital twinborn model corresponding to the monitoring space, so that the real-time change of the monitoring space can be simulated in the digital twinborn model, the pollution source detected by the pollution source detection unit is updated to the digital twinborn model, and pollution source diffusion simulation is performed in the digital twinborn model through the diffusion simulation unit. Finally, the pollution risk of the personnel is judged according to the distribution, the moving track and the like of the personnel in the monitoring space, so that early warning and risk avoidance are carried out in time, the personnel are prevented from being exposed to a pollution source for a long time, the safety and health of the personnel are guaranteed, and intelligent management is realized.