67results about How to "Raise security awareness" patented technology

The invention discloses a building construction safety risk assessment method and system, and relates to the technical field of artificial intelligence, and the method comprises the steps: constructing a neural network model, and recognizing an unsafe behavior mode of a worker; receiving a data stream from a construction site in real time, dynamically adjusting risk assessment parameters according to a current construction state and environment change, and predicting potential safety risks; according to the prediction result, generating corresponding prevention measure suggestions; key indexes and abnormal conditions are displayed through a monitoring interface, and a detailed analysis report is generated; according to the invention, through dynamic assessment and timely response to the safety risk of the construction site, the risk assessment parameters can be rapidly adjusted according to the environmental change, the potential risk can be predicted, and the prevention measures and suggestions can be provided, so that the occurrence probability of safety accidents is effectively reduced, and the construction efficiency is improved.

The invention relates to the technical field of safety engineering, in particular to an intelligent high-altitude and fire operation safety management system based on risk assessment, which comprises a safety helmet module, a data acquisition and transmission module, an edge calculation and processing module, a risk assessment and decision module, an emergency response module and a data analysis and optimization module. The intelligent safety helmet worn by each operator is integrated with a flame sensor and a height sensor, and flame information in an operation environment and height changes of the operators can be collected in real time. Through the low-power-consumption wireless communication technology, the collected data is transmitted to the edge computing device in real time, and the edge computing device calculates the comprehensive risk index through multi-sensor data fusion. And when the risk index exceeds a preset threshold value, the system automatically triggers alarm, sends early warning information to operators and a management platform, and takes emergency measures, so that the accident rate in high-altitude operation and fire operation can be effectively reduced, and the safety management level of the operation environment is improved.

The invention relates to a construction method of an anti-typhoon sea wave sea-crossing steel trestle and platform adjacent to a residential building. The construction method comprises the steps that firstly, deep fusion application of BIM and VR is conducted; step 2, surveying and setting out; step 3, embedding steel bars and pouring strip-shaped concrete; fourthly, the steel pipe piles are transported and lengthened; fifthly, steel pipe piles are driven; sixthly, parallel connection and diagonal bridging construction is conducted; seventhly, bearing beams are installed; eighthly, longitudinal beams are installed; ninthly, the distribution beams are installed; tenthly, bridge deck slabs and guardrails are installed; and 11, an intelligent monitoring and early warning system.

The invention provides an exercise speed setting recommendation method suitable for an exercise bracelet, and the method comprises the steps: calculating air quality through calling AQI data according to an exercise route of a user, giving an exercise suggestion, calculating a ground slippery index through calling terrain and air temperature and humidity data, and reminding the user of a slippery road segment; in the exercise process, the heart rate of the user is predicted according to the collected real-time heart rate, the exercise duration, the gradient of the exercise route and the ground slippery index, speed matching suggestions can be given based on the physical sign indexes of the wearer, and exercise injuries are avoided.

The invention discloses a construction engineering safety supervision method based on a gradient boosting tree and related equipment, which can timely discover and deal with potential safety risks and realize real-time supervision of a construction site. The method comprises the following steps: acquiring historical data of a construction site, wherein the historical data comprises historical construction environment parameters, behavior data of historical constructors and physiological index data; preprocessing the historical data to obtain preprocessed data; training a gradient boosting tree model by using the preprocessed data to obtain a target gradient boosting tree model, the target gradient boosting tree model being used for identifying and predicting behaviors and potential dangerous environments of workers on the construction site; behavior data, construction environment parameters and physiological index data of workers on a construction site are collected in real time; and inputting the behavior data of the field staff, the construction environment parameters and the physiological index data of the staff into the target gradient boosting tree model to obtain a risk assessment result.

The invention discloses a high-voltage line safety distance prediction method based on electric field intensity and probe speed change, and relates to the technical field of electric field safety, and the safety distance prediction method comprises the steps of early-stage preparation, input parameter acquisition, data processing, prediction model construction, alarm and feedback, and later-stage maintenance. The method has the advantages that the actual distance between the probe and the high-voltage line can be predicted more accurately by integrating multivariate data such as the electric field intensity, the change trend of the electric field intensity and the movement speed and direction of the probe, training a prediction model in combination with a neural network algorithm and calculating a loss function value by using a formula; according to the method, false alarms and alarm distance errors caused by changes of environmental factors are reduced, the precision and reliability of high-voltage line safety distance prediction are improved, and alarm mechanisms of different levels can be triggered by comparing the prediction result output by the prediction model with the preset safety distance threshold value.

The invention belongs to the technical field of official vehicle management, and particularly discloses an official vehicle driving safety assessment method and system and a program product, and the method comprises the steps: collecting driving data in real time in an official vehicle use process, carrying out the data processing and feature extraction, and carrying out the risk recognition through employing a corresponding risk recognition network model based on the extracted features. According to the method, the corresponding risk category and probability are determined, then the risk level, the risk feature and the suggested measure are further judged, and finally the risk information is summarized to generate the safety assessment report for output, so that efficient driving safety assessment of the official vehicle can be realized, the risk identification capability is improved, and data-driven decision support is provided for safety management personnel; the safety consciousness of a driver can be enhanced, and the traffic safety accident rate of official vehicles is reduced.

The invention discloses a maintenance personnel operation behavior monitoring method based on artificial intelligence, and relates to the technical field of artificial intelligence. In order to solve the problems that the current locomotive depot personnel behavior monitoring is mainly performed by manual monitoring and cannot give an alarm at the first time when an accident occurs, so that hidden dangers are caused to safety production, and video monitoring personnel often face relatively high working pressure. Through the face recognition and human body posture estimation technology, the system can accurately recognize the identity and the position of the maintenance personnel and monitor the behaviors of the maintenance personnel in real time, the workload of the monitoring personnel is relieved, the behaviors of the maintenance personnel are automatically recognized through the OpenPose algorithm, manual monitoring is not needed, the monitoring efficiency and the automation degree are improved, powerful support is provided for maintenance safety management, and the system is suitable for popularization and application. The system can effectively improve the monitoring efficiency, reduce the safety risk, improve the safety awareness, and promote the scientific and intelligent development of the maintenance safety management, thereby effectively preventing and controlling the safety accidents, and improving the maintenance safety management level.

The invention discloses a building construction safety intelligent management method based on multi-dimensional data analysis, and the method comprises the following steps: S1, building a safety management information system, configuring data analysis software, and inputting the basic information of a construction site and the information of operators into the system; s2, regularly and comprehensively analyzing the potential safety hazard rate, the potential safety hazard thermodynamic diagram, the potential hazard occurrence time period and the violation operation histogram, and formulating safety management measures and adjusting the safety management measures according to an analysis result; and S3, building a safety education platform, and combining learning resources provided by the safety education platform with a plurality of safety education cards. According to the invention, the potential safety hazards existing in the construction site can be accurately identified, efficiently managed and prevented, and the overall efficiency of safety management is improved; and learning resources provided by the safety education platform are combined with a plurality of safety education cards, so that the safety awareness of operators is enhanced, and the occurrence of safety accidents on the construction site is fundamentally reduced.

The invention relates to a multi-scene safety production supervision method, system and device based on intelligent positioning. The method comprises the steps that operation and maintenance monitoring is carried out on an application corresponding to each production scene through an enterprise side safety production risk monitoring and early warning subsystem, and production related information is acquired. Different source data in the production related information are integrally processed, a standard data set is generated, a label is added to each piece of source data in the standard data set, and a labeled data set is obtained. And constructing a safety production monitoring model according to the danger attributes, and inputting the labeled data set as a sample data set into the safety production monitoring model for optimization training to obtain an optimized safety production monitoring model. And deploying the optimized safety production monitoring model to the edge computing device in a distributed manner, so that the operation and maintenance monitoring subsystem carries out supervision processing according to the position information transmitted by the personnel positioning system and the production process information. By adopting the method, the real-time performance and accuracy of production safety monitoring in the dangerous chemical environment can be improved.

The invention provides a large instrument reservation system of a micro-nano system laboratory. The system comprises a project application module, a safety access module, a process auditing module, a training reservation module and an experiment reservation module. The experiment reservation module can also receive and check the experiment reservation application initiated by the registered user passing the training examination for the instrument with the use permission, and sends the check result to the corresponding registered user, so that the registered user can carry out related operation according to the check result. In this way, the laboratory reservation efficiency can be improved through an intelligent and digital management mode, the safety of personnel and equipment can be guaranteed, potential safety hazards are reduced, the resource utilization rate can be improved, and users in the school or outside the school can carry out related laboratory reservation processes through the system.

The invention discloses an electric power production safety simulation training system and method based on AR virtual reality. The system comprises AR glasses, a simulation teaching resource cloud platform and a 3D modeling real-time interaction subsystem. The method comprises the following steps: firstly, constructing a virtual reality scene of a power production environment by using an AR virtual reality technology; a plurality of training modules are arranged in the virtual reality scene, and each training module corresponds to one kind of power production safety knowledge or skill; the employee wears AR glasses, enters a virtual reality scene, and selects a corresponding training module for training according to own needs; the training system evaluates the operation of the employees and provides feedback and suggestions according to the evaluation result; the training system records the training progress and the training effect of the employees and generates a training report; and the training system periodically updates the training content. According to the invention, the immersion and reality of training are improved, the safety awareness of employees is enhanced, the safety awareness of the employees is improved, the training cost is reduced, and the training effect is improved.

The invention discloses a railway line environment potential safety hazard intelligent identification system, which mainly comprises a sensor module, a data processing unit and an alarm and feedback system, and is characterized in that the sensor module comprises a video monitoring camera, an environment sensor (such as a temperature sensor, a humidity sensor, a vibration sensor and a noise sensor), a laser radar and a gas detection sensor; the system is used for collecting multi-dimensional data along the railway, the safety monitoring efficiency and the early warning capability of the environment along the railway are remarkably improved through the application of the system, and high efficiency of informatization management and hidden danger rectification is achieved. Through an intelligent recognition algorithm, the system can automatically detect and recognize potential safety hazards along the railway, the dependence on manual inspection is reduced, and the emergency response speed and optimization of resource allocation are improved. In addition, the data storage and history backtracking functions of the system support long-term data analysis, and continuous improvement of railway safety management is facilitated.

The invention discloses an enterprise safety production joint control information management system, which relates to the technical field of production joint control information management and comprises a collection module, a data processing module, a safety management module and a response module. And selectable. According to the invention, dynamic assessment of the safety risk is realized, intelligent early warning is carried out according to the change trend and severity of the risk, the accuracy and timeliness of early warning are improved, quantitative analysis of the degree of dispersion of the safety risk is realized, a scientific basis is provided for emergency response, rapid response and intelligent scheduling are realized, the accident processing efficiency is improved, and the safety risk is protected. According to the method and the system, the real-time monitoring of the wind speed and the flow velocity data is realized, the quantitative evaluation of the emergency response capability is realized, accurate guidance is provided for the formulation and implementation of emergency measures, the accuracy and effectiveness of emergency processing are improved, dynamic early warning and accurate positioning of a risk source can be realized by using the real-time monitored wind speed and flow velocity data, and the accuracy and timeliness of early warning are improved.

The invention relates to the field of image processing, in particular to a human body attribute identification method in a coal mine transportation scene, which comprises the following steps: constructing a danger monitoring model, and collecting data information of coal mine field environment and personnel; preprocessing the data information to obtain corresponding feature information; classifying the danger monitoring models according to the danger types and endowing the danger monitoring models with corresponding risk values; the feature information is processed to obtain action behavior information, road condition information and mineral information, the action behavior information, the road condition information and the mineral information are substituted into a danger monitoring model to obtain corresponding risk values, whether danger occurs or not is judged, and an alarm signal is sent; the danger monitoring model is trained through the detected feature information, the original danger monitoring model is covered, and therefore the problem that in the prior art, the accuracy of judging the danger type and the danger occurrence probability through experience is low, subjective factors are many, and consequently the accuracy of risk judgment during coal mine transportation is reduced is solved.

The invention discloses a starting method and system for identifying the authenticity of consumables through rfid card swiping under the networking state of moxibustion equipment. Comprising the steps that whether moxibustion equipment is registered on a platform or not is judged, and if yes, the moxibustion equipment normally obtains authentication information for connecting the cloud platform from a server; if not, the equipment cannot normally access the server, and normal functions of the equipment cannot be used; the moxibustion equipment is connected with a server through a 4G network, the equipment is in a networking state after the server is successfully connected, and a user needs to swipe a card in a designated area of the equipment to identify the authenticity of consumables when the equipment is started in the networking state. According to different types of equipment, the modes for starting the equipment by card swiping comprise the following three modes: (1) card swiping activation; (2) starting card swiping; (3) card swiping and recharging; the server side receives a card swiping request of a user and judges the authenticity of the consumables by inquiring card swiping data, and three different responses can be made according to the three modes; the invention provides a starting method and system for identifying the authenticity of consumables through rfid card swiping under the networking state of moxibustion equipment, and aims to solve the problems that in the prior art, moxibustion equipment can be started and used without identifying the authenticity of consumables, and health of a user is damaged due to long-term use of counterfeit and shoddy products.

The present invention discloses a substation operation safety management and control system and method based on indoor and outdoor fusion positioning, the system includes: indoor UWB positioning module, outdoor RTK positioning module, positioning terminal, data receiving service module, safety isolation module, data analysis and processing module, operation and inspection workbench, operation safety management and control platform, through the cooperation between the modules, the virtual electronic fence function is realized according to the positioning data, and the on-site staff is reminded to enter the dangerous or unauthorized area in time to avoid the situation of walking into the wrong interval, mistakenly entering the energized interval, etc.; according to the positioning data, the camera is linked to monitor the working area in real time. The present invention reduces the original complicated work area warning arrangement work by setting up the electronic fence, reduces the workload on site and improves the safety of on-site work; through the operation safety management and control platform, the on-site work situation can be grasped in real time, and the remote real-time monitoring of on-site operations can be realized.

The embodiment of the present invention discloses an intelligent elevator outage function management system, which relates to the field of intelligent control technology. The system includes: a pressure detection module, installed on the floor inside the elevator, for detecting the pressure on the floor inside the elevator; a camera module, for capturing the global image inside the elevator and sending it to a chip processing module when the pressure detection module detects pressure on the floor inside the elevator; a chip processing module, for identifying whether there is an electric vehicle in the global image inside the elevator, and sending a stop operation instruction to the control module when the global image inside the elevator identifies an electric vehicle; a control module, for controlling the elevator to stop operating after receiving the stop operation instruction. The present invention can effectively prevent electric vehicles from going upstairs.

A warning board for tunnel portal construction is characterized in that a display screen is arranged on one end face of a main body, the back face of the display screen is electrically connected with a control device and a first guide rail, a second guide rail is arranged on the periphery of the first guide rail and provided with a blocking piece, a blocking key of the blocking piece penetrates through the first guide rail, and a driving key of the blocking piece is rotationally connected to the side wall of the second guide rail; and the driving key is rotated to enable the stop key to penetrate into and out of the first guide rail. Through the display screen on the end face of the main body, warning information can be provided for drivers and pedestrians; the control device can process, store and transmit information to ensure that the display screen can timely, accurately and automatically adjust warning contents according to actual conditions; the structural design of the stop piece and the guide rail can ensure the stability and adjustability of the warning board so as to adapt to the special environment of the tunnel portal; an LED or a liquid crystal display screen is adopted, so that the display effect and visibility can be improved; and the reflective strips are arranged around the display screen, so that the visibility of the warning board at night or under a low-light condition can be improved, and the warning effect is improved.

This invention discloses a method, apparatus, device, and medium for generating visualization training on puncture based on mixed reality registration, relating to the field of mixed reality technology. The method includes: acquiring cardiac medical image data to generate a three-dimensional cardiac model; dividing the target sampling area and high-risk area and extracting the image coordinate system; acquiring spatial markers on the surface of the real training model to establish a real spatial coordinate system, and acquiring the initial pose of the puncture instrument to establish a pose coordinate system; uniformly registering the image coordinate system, the real spatial coordinate system, and the pose coordinate system and calculating the registration error; when the registration error is below an error threshold, real-time acquisition of the current pose of the puncture instrument and mapping it into the model to generate a virtual puncture path and risk warning information; recording the movement trajectory of the puncture instrument, and generating a quantitative score based on the movement trajectory, deviation angle, and the number of approaches to the high-risk area warning range.

The present invention relates to the technical field of medical equipment, and discloses a hyperbaric oxygen device, including a hyperbaric oxygen chamber body and a patient transfer mechanism, a door frame is provided with a threshold, a pressurized oxygen supply assembly includes an oxygen supply valve, a circulation valve and a replacement valve connected to the hyperbaric oxygen chamber body through a flange with a one-way flow, the oxygen supply valve is connected to the circulation valve, and the replacement valve is connected to the atmosphere, and the patient transfer mechanism includes a bed body and an obstacle crossing unit, the obstacle crossing unit includes an obstacle crossing arm rotatably arranged on the bed body, the obstacle crossing arm includes a first support leg and a second support leg, and a track is rotatably arranged between the first support leg and the second support leg. Through the design of the obstacle crossing arm and the rotating track on the bed, the threshold can be easily crossed, friction can be reduced, the pressure on the bed can be reduced, the transfer safety can be guaranteed, the burden on medical staff can be reduced, the stability and safety of the patient can be ensured, and the risk of transportation can be avoided. The valve provided on the hyperbaric oxygen chamber is used for replacement, the loss of high-purity oxygen can be reduced, and the accumulation of waste gas can be reduced.

The utility model provides a ponding warning integrated advertising board which comprises a first supporting column, the bottom face of the first supporting column is fixedly connected with a fixing base, the outer surface of the first supporting column is sleeved with a fixing sleeve, and the inner wall of the fixing sleeve is fixedly connected with a second supporting column. The bottom face of the second supporting column is fixedly connected with the upper surface of the first supporting column through a fixing sleeve, the upper surface of the second supporting column is fixedly connected with a solar panel, the outer surface of the second supporting column is rotationally connected with a first rotating sleeve and a second rotating sleeve, and the left side face of the first rotating sleeve is fixedly connected with an LED warning board. By means of the integrated advertising board for ponding warning, a driver can be reminded to pay attention to road ponding in time, road traffic accident risks caused by ponding are reduced, road ponding conditions are monitored in real time, relevant information is issued in time, vehicles can be guided to avoid areas with serious ponding, attention of the public to the road ponding can be improved, and driving safety is improved. And safety awareness is enhanced.

The invention relates to the technical field of electric power information processing, in particular to an electric power work site ticket face violation data intelligent processing system which comprises an information acquisition module, a site data acquisition module, a data storage module, a data analysis module, a terminal identification module and a terminal display module. The method comprises the steps of obtaining a violation set, calculating a set frequency based on the number of elements in the violation set, performing position arrangement on the set frequency, determining key regulations, obtaining historical violation behaviors of an operator, calculating a working coefficient, determining a data signal based on the working coefficient, and determining field warning information of a target analyst according to the data signal. According to the technical scheme of the utility model, the operator entering the field in real time is identified, and the corresponding field warning information is obtained and displayed in the terminal display module, so that the operator entering the electric power operation field is reminded of safety in real time, and the safety awareness of the operator is enhanced.

The invention relates to the field of building construction safety, in particular to a construction safety risk intelligent management method and system for a fabricated building, and the method comprises the steps: receiving construction personnel data and assembly construction data in a preset range in real time; analyzing a construction type according to the constructor data and the assembly construction data; acquiring current environment data, and analyzing whether a construction condition is met or not according to the environment data and the construction type; when the construction conditions are met, analyzing the risk level of the current construction in combination with the environment data and the construction type; acquiring behavior data of the constructor, and judging whether the behavior data meets an early warning condition or not according to the risk level of the current construction; and when the behavior data meets the early warning condition, early warning information is sent to the target constructor. The risk is dynamically evaluated by collecting construction environment and personnel behavior data in real time. According to the data driving method, the accuracy of early warning is greatly improved, and the problems of missing report and false report caused by traditional static evaluation are effectively reduced.

The invention relates to the technical field of steel cofferdam construction, in particular to an unbalance loading steel cofferdam anti-sliding construction method and tool. The construction method comprises the following steps: S1, surveying and setting out; s2, a notch is excavated; s3, fixing the steel cofferdam; the steel cofferdam can be effectively prevented from sliding on a riverbed, so that the stability of the whole structure is improved; the tool comprises a tool body, and the tool body comprises a plurality of anchoring piles and a connecting frame. The connecting frame comprises a first mounting rod and a second mounting rod; a connecting assembly is arranged between the first mounting rod and the second mounting rod; and the anti-overturning capacity of the steel cofferdam can be further improved.

The utility model discloses a highway dangerous section automatic sound and light early warning and prompting device, the utility model discloses through sound and light prompt mode to the dangerous road section of front carries out early warning, can effectively remind the driver to pay attention to road condition, reduces the traffic accident caused by inattentive or fatigue driving, thereby significantly reduces the accident rate. The setting of the device can improve the safety awareness of the driver, make him more cautious in the passing process, reduce the traffic risk caused by human negligence. At the same time, the device can reduce the economic loss and social influence brought by traffic accidents through preventing accidents and optimizing traffic management, and improve the use efficiency of the road. In addition, the device adopts intelligent and modular design, which is not only beneficial to energy saving and cost reduction and reduces the operation and maintenance cost, but also meets the development needs of modern traffic management facilities, and can promote the technical upgrading of highway traffic safety facilities.

The utility model belongs to the technical field of elevator safety protection, and particularly relates to a pit safety hook for preventing an elevator car from rushing down, which comprises a bottom plate, supporting plates, limiting cylinders, telescopic rods and the like, a plurality of supporting plates are distributed and mounted on the bottom plate in two rows and two columns, a plurality of adjacent limiting cylinders form one group, the number of the four groups is four, each group of limiting cylinders is fixedly connected to each supporting plate, and the telescopic rods are fixedly connected to the bottom plate. Each telescopic rod is arranged on the corresponding limiting cylinder in a sliding mode, one end of each telescopic rod extends out of the corresponding limiting cylinder, and the other end of each telescopic rod extends into the corresponding limiting cylinder. The four symmetrically-distributed buffer units are reasonably arranged on the pit safety hook, when an elevator car rushes downwards accidentally, the four buffer units can provide buffer force from the four corners of the bottom of the elevator car at the same time, according to the multi-point dispersion buffer mode, even if unbalance loading and inclination occur when the elevator car rushes downwards, impact energy can be evenly dispersed and absorbed, and the safety of the elevator car is improved. Local damage of the elevator car is avoided, and structural integrity and passenger safety are guaranteed.

The invention discloses a platform safety line grading early warning method and system based on deep learning, and belongs to the technical field of computer vision and public safety. The method comprises the following steps: initializing a system; acquiring video stream data of a platform monitoring area in real time and performing image preprocessing; identifying and positioning pedestrians in the video frame by using the target detection and segmentation model; based on the identified foot position information of the pedestrian, judging whether the pedestrian crosses a line or not; utilizing a multi-task attribute identification model to identify the attributes of the line-crossing pedestrians; calculating a minimum line-crossing distance of the line-crossing pedestrians and a target density factor of a line-crossing area, generating a comprehensive threat score, and generating a priority queue; and generating and executing a self-adaptive multi-mode safety reminder. According to the invention, the automatic, precise and graded management of the platform line crossing behavior is realized, the timeliness, accuracy and humanization level of early warning can be effectively improved, and the method is suitable for the safety protection of public traffic scenes such as high-speed railway stations and subway stations.

The invention discloses a digital electric power training method based on virtual reality. The method comprises the following steps: S1, designing a training scheme in a targeted manner according to training requirements; s2, building and testing a simulation training system according to the training scheme; s3, performing digital power training based on a simulation system; the virtual training environment of the power system is built by means of the virtual reality technology, so that a vivid virtual training scene is conveniently designed, more real power training is facilitated, meanwhile, a power accident scene can be simulated according to a training scheme, and the training efficiency is improved. According to the invention, the training personnel can more intuitively feel the process and consequence of the power accident, the safety awareness of the training personnel is enhanced, meanwhile, the on-site processing capability of the training personnel can be investigated by simulating first-aid repair and rescue work operations, and the processing flow of the training personnel to the power accident is deepened.

The present invention belongs to the field of coal mine video surveillance and relates to a method for identifying coal mine production safety violations based on video analysis. The method collects on-site surveillance videos of target coal mine production zones, identifies and analyzes the operating support structures and cover support structures of the target coal mine production zones in the on-site surveillance videos, and on the one hand evaluates the abnormal stability violation risks of the operating support structures and cover support structures of the target coal mine production zones, thereby judging whether there are support abnormal stability violations in the target coal mine production zones, and if so, an alarm is issued; on the other hand, by tracking the activities of operating personnel located above the operating support structure of the target coal mine production zone in the on-site surveillance video, it is judged whether there are abnormal operation violations by personnel in the target coal mine production zones, and if so, an alarm is issued, thereby achieving effective identification and analysis of the most indispensable support structure-related violations in coal mine production scenarios.