61 results about "Safety education" patented technology

The invention provides a campus security risk prevention and control cloud service platform, and relates to the technical field of cloud platforms, and the platform comprises a data processing and transmission module which is used for carrying out data storage, processing and secure transmission based on a cloud platform architecture, and supporting the automatic reconnection and concurrency control of data transmission; the safety guarantee module is connected with the data processing and transmission module and is used for carrying out digital management on civil defense, object defense and technical guarantee information of the campus; the safety risk prevention and control module is connected with the data processing and transmission module and the safety guarantee module and is used for carrying out informatization processing and linkage on campus safety management, safety education and safety emergency processes; and the joint defense and joint control module is connected with the safety risk prevention and control module and is used for realizing data linkage and emergency response command between the multi-level education management department and the school based on a processing result of the safety risk prevention and control module. By constructing the campus safety risk prevention and control cloud service platform, the intelligence and collaboration level of campus safety management is remarkably improved.

The invention discloses an engineering safety video generation method and system based on a generative large model. The method comprises the following steps of obtaining an application field and a theme requirement of a required engineering safety video; on the basis of application fields and theme requirements, a retrieval enhancement generation mechanism is adopted to retrieve in the multi-modal knowledge base to obtain related data, and a large language model is utilized to generate a training script copywriting; extracting cue words from the training script copywriting, and based on the cue words, generating a corresponding image by using a diffusion model; and converting the training script copywriting into an explanation audio, and finally synthesizing a virtual explanation video with synchronous mouth shapes by an audio driving model. The method can be suitable for a plurality of engineering scenes such as buildings, mining industry, tunnels, high-altitude operation and the like, has the characteristics of process automation, high content specialty, high generation efficiency and high cross-scene adaptability, and effectively improves the production efficiency and training effect of engineering safety education videos.

The invention discloses an offshore platform special operation interactive terminal virtual simulation training teaching method and system, and the system comprises a safety education module, an immersive teaching module, a teaching management module and an industrial-grade terminal, and all the modules cooperate through a multi-layer architecture. The method comprises the following steps: authenticating an identity through an interaction token, performing virtual platform roaming on a display screen of an industrial-grade interaction terminal, and learning regional safety specifications; selecting a homework type through an interactive screen, completing a practice task in a three-dimensional scene, and verifying operation and feeding back in real time by a system; an approval process is triggered through the interaction token, and the system generates a score and evaluation report according to the operation data; and the teaching management module analyzes the weak link, and pushes customized training content or updates a resource package. According to the invention, the training immersion is improved, and the continuity of marine environment training is guaranteed through a low-bandwidth hot update technology; the AI analysis realizes personalization, optimizes the training quality, and adapts to the harsh working environment.

The invention discloses a latent variable guided unsafe behavior intervention system and a latent variable guided unsafe behavior intervention method for building workers. A decision laboratory-interpretation structure model is used for analyzing the mutual relation between unsafe behavior factors such as unsafe psychology, unsafe physiology, safety ability and unsafe motivation of the building workers and safety culture, safety atmosphere and safety education. And determining an action path of the intervention measures on the influence factors. And constructing an unsafe behavior occurrence mechanism and intervention mechanism model in combination with the structural equation model. And then simulation research and analysis of the action effect of the intervention strategy are carried out by using system dynamics, and the internal occurrence mechanism and intervention effect of the unsafe behaviors of the building workers are deeply analyzed. The method has the advantages that the relation between unsafe behavior occurrence and intervention paths of workers is studied statically, the unsafe behavior occurrence and intervention process is studied dynamically, the safety management level in the building construction process is improved, and safety accidents are reduced.

The invention discloses a safe somatosensory device and an experiment method thereof, and relates to the technical field of safety education training. The safety somatosensory device comprises: a device housing; the beakers are arranged in the equipment box body; the hazardous chemical substance storage tank is arranged in the equipment box body, and the hazardous chemical substance storage tank is used for storing acid liquor; the anti-corrosion pipeline is arranged in the equipment box body, and the first end of the anti-corrosion pipeline is arranged in the hazardous chemical substance storage tank; the first backflow electromagnetic valve, the second backflow electromagnetic valve and the liquid feeding electromagnetic valve are arranged on the anti-corrosion pipeline, and when the liquid feeding electromagnetic valve is opened and the first backflow electromagnetic valve and the second backflow electromagnetic valve are closed, the first backflow electromagnetic valve and the second backflow electromagnetic valve are closed. Acid liquor in the hazardous chemical substance storage tank flows into any beaker in the plurality of beakers through the anti-corrosion pipeline; when the liquid feeding electromagnetic valve is closed and the first backflow electromagnetic valve and the second backflow electromagnetic valve are opened, the acid liquid in any beaker flows back to the hazardous chemical substance storage tank through the anti-corrosion pipeline. According to the invention, the safety of the safe somatosensory equipment is improved, and the occurrence probability of accidents is reduced.

The application provides a kind of campus security risk prevention and control cloud service platform, it is related to cloud platform technical field, including: data processing and transmission module, for based on cloud platform architecture data storage, processing and secure transmission, and support the automatic reconnection and concurrent control of data transmission;Safety assurance module, connect data processing and transmission module, for the digital management of the civil air defense, physical protection and technical support information of campus;Security risk prevention and control module, connect data processing and transmission module and safety assurance module, for the information processing and linkage of campus safety management, safety education and safety emergency process;Joint defense and control module, connect security risk prevention and control module, for based on the processing result of security risk prevention and control module, realize the data linkage and emergency response command between multi-level education management department and school. By constructing the campus security risk prevention and control cloud service platform, the intelligentization and collaboration level of campus safety management is significantly improved.

The invention discloses a method for improving an industrial safety education training effect based on an AI large model. The method comprises the following steps: analyzing, vectorizing and storing latest industrial safety related documents to obtain a safety knowledge base; the related documents comprise industrial standard specifications, laws and regulations and enterprise specifications related to industrial safety; the knowledge base comprises a plurality of sub knowledge bases with different themes and different types; matching an associated target sub-knowledge base from the safety knowledge base based on the training plan, so as to generate an employee training task based on the target sub-knowledge base; based on the training task, utilizing an AI large model to generate a training problem in the training process, and using the training problem for employee training to obtain a training result of the employee; and based on the training result, using an AI large model to generate test questions corresponding to different employees, and examining the employees based on the test questions to obtain an examination result. The training effect of employee safety education can be improved, and potential safety hazards are reduced.

The utility model discloses a belt conveyor safety education device relates to safety education technical field, including belt conveyor, protective cover, guardrail mechanism, sensing mechanism and display mechanism, and the protective cover is installed in the both ends of belt conveyor, and the guardrail mechanism is installed in the body sense area outside belt conveyor and is L type structure, and a plurality of sensing mechanisms are installed in the one end of guardrail mechanism and adjacent one side side, and the display mechanism is installed in the other end of guardrail mechanism. The utility model discloses through the setting of the cooperation of protective cover, guardrail mechanism, sensing mechanism and display mechanism sends mode, improves the safety body sense effect of belt conveyor, and the education display screen plays the safety education video of pertinence, and the experimenter can be in the simulation environment of being in the thick of it, can actively perceive personnel leans on, and the squeezing such as illegal behavior, and triggers alarm instantly, greatly improves the initiative and effectiveness of safety protection, improves safety education effect.

The invention relates to the technical field of analysis and feedback, in particular to a gas turbine power plant safety education-oriented training behavior real-time analysis and feedback system, which comprises a task node monitoring module, a behavior stability description module, a task deviation judgment module, a path misunderstanding extraction module and a correction guide generation module. According to the method, behavior differences in different stages are analyzed, error zone path segments with path number repetition frequencies and response delay indexes higher than threshold values are screened, and node offset levels and action differences are integrated to generate an error zone aggregation segment group; according to the method, wrong operation nodes are positioned, a prompt set with sequence suggestions, instruction content and operation duration correction information is formed, a feedback list for training field interaction prompt is constructed based on the content, the traceability of a behavior misunderstanding and the timeliness of correction intervention are enhanced, the path normalization and task execution accuracy in the training process are improved, and the training efficiency is improved. The curing risk of path deviation is reduced, and the forming efficiency of a training effect closed loop is improved.

The present application belongs to the technical field of intelligent construction site, aiming at solving the problems of single intelligent function, poor combination and uneven distribution of labor force in complex construction scene existing in the existing information management. The intelligent construction site management system of the present application comprises a personnel management module for collecting and storing the real-name information of the personnel entering the site, the real-name information comprising identity information, work type and attendance data; a safety management module for recording the completion of safety education of each personnel, and generating a passing permission sign according to the completion of safety education and the real-name information; a progress management module for receiving the construction progress plan and the actual completion data, generating an efficiency curve changing with time according to the attendance data and the actual completion data, and generating a labor force deployment suggestion according to the construction progress plan and the efficiency curve. The real-name management breaks the information barrier between the traditional construction site personnel, safety and progress, and improves the management efficiency.

The invention belongs to the technical field of artificial intelligence and education crossing, and relates to an information security professional education system and method based on big language model agency, and the system comprises a data collection and storage module which is used for collecting and storing information security professional student data and teaching data; the user modeling and state management module is used for constructing multi-dimensional individual portraits and performing state management on the multi-dimensional individual portraits according to the characteristics of students professional for information security; the intelligent agent module is used for constructing a multi-agent large language model agent for an information security professional teaching scene; and the information security field professional knowledge representation and reasoning module is used for constructing a time-sequenced and reasonable knowledge system oriented to information security education so as to provide knowledge support for a multi-agent large language model agent. According to the method, a sequential and reasonable knowledge system oriented to information safety education is innovatively constructed, and accurate, time-efficient and reasonable knowledge support can be provided for teaching tasks through a retrieval enhancement generation mechanism.

The invention discloses a safety education image generation method based on stable diffusion and LiblibAI. The method comprises the following steps: collecting and preprocessing image data related to a safety accident; constructing a structured cue word library through stable diffusion reverse cue extraction and hierarchical optimization; a basic model and a LoRA model (a sea corner FLUX flame element V1 and a sea corner Flux shadow art V1.0) are integrated on a LiblibAI platform, and physical simulation of flames and shadows is achieved through parameter collaborative tuning; based on a real equipment photo, an accident scene is generated by combining an image-to-image generation mode with a ControlNet edge guidance technology; and outputting a safety education image resource library meeting teaching requirements. The problems that a traditional safety teaching material image is insufficient in authenticity and high in updating cost are solved, and high-fidelity and strong-scene safety education visual resource production is achieved through the controllable AI generation technology.

The invention relates to the technical field of machine learning and block chains, and discloses a laboratory safety education course integration pushing system and method. A trainee grading and classifying subsystem, a course data grading and classifying subsystem and a wrong question grading and classifying subsystem of the system respectively use a deep learning technology to automatically grade and classify trainees, link addresses corresponding to laboratory safety training data, error-prone question types of the trainees and question answering error rates. And the course grading and classification pushing subsystem automatically pushes personalized link address sets corresponding to laboratory safety training data to different trainees by using an unsupervised learning technology, so that the working efficiency is improved. In addition, the course data grading and classifying subsystem integrates link addresses corresponding to laboratory safety training data from different sources inside and outside the school by adopting a block chain technology, and the related problems of communication bottleneck, single-point failure and other privacy leakage caused by a centralized network topology structure can be avoided.

The invention discloses VR-based safety education training equipment, which comprises a structure main body, and is characterized in that the structure main body comprises a base, and the base is provided with a practical operation experience simulation area and a simulator equipment installation area; the practical operation experience simulation area is provided with a peripheral guardrail, a simulation platform is arranged in the peripheral guardrail, a stand column is arranged on the simulation platform, an operation panel and VR glasses are arranged at the upper end of the stand column, and a simulation scene driving device is arranged in the simulation platform; the simulator equipment mounting area is provided with a substrate and an equipment protective cover, the substrate is provided with a host mounting table, the host mounting table is provided with a simulator host, the operation panel is in control connection with the simulator host, and the simulator host is internally provided with a plurality of groups of simulation scene modules; by wearing the VR glasses and standing on the simulation platform, simulation scene practical operation experience is carried out, a trainee can participate in the simulation platform more visually, and the simulation platform has the advantage of being high in experience authenticity, so that a better educational training effect is achieved.

1. The name of the design product: safety education training equipment box (3). 2. The use of the design product: the design product is used for safety education training. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The application discloses a safety education content pushing system and method for a construction site, and belongs to the technical field of safety education of the construction site. The safety education content pushing system comprises the following steps: listing education materials in a tree structure to generate a safety education library, and creating at least one dimension of identification tags for each education material to obtain an identification tag set; performing real-name authentication and numbering on workers to create work information files about the workers; creating a priority pushing model, obtaining pushing keywords required by the workers based on the work information files; mapping the pushing keywords to the identification tag set, matching identification tags having a mapping relationship with the pushing keywords in the identification tag set to obtain a temporary tag set; calling education materials corresponding to the temporary tag set in the safety education library to obtain to-be-pushed education materials, and pushing the to-be-pushed education materials to corresponding workers. The safety education content pushing system achieves efficient and high-precision education content pushing effect based on safety awareness and safety behaviors of the workers, greatly reduces learning time of the workers, and can also make up for part of defects of the workers.

The embodiment of the invention discloses a data processing method, device and equipment, and the method comprises the steps: receiving a safety education request for a target object, enabling the safety education request to be received when the target object does not encounter a risk event in business processing, and enabling the safety education request to comprise risk portrait information of the target object, the risk portrait information comprises one or more of attribute information of a target object, belonging business category information and risk level information; in response to the safety education request, obtaining safety education data for the target object from a database matched with the risk portrait information of the target object based on the risk portrait information of the target object; and pushing the acquired safety education data to the target object so as to carry out safety education on the target object for risks existing in business processing.

The present invention discloses a construction site safety protection system, including a fall prevention mechanism and a safety warning control mechanism. The fall prevention mechanism includes several fall prevention units; the safety warning control mechanism includes a controller, an impact force sensor, a display, a camera, a fixing plate, and a support plate. A security control method integrated with a construction site includes the steps of setting up the site, collecting impact force data, collecting video information, outputting accident scene animations, and conducting safety education in conjunction with the accident scene animations. The present invention relates to the field of construction safety protection technology. By closely integrating the fall prevention mechanism and the safety warning control mechanism, workers can receive safety education during the construction process, which in turn promotes construction safety.

The invention relates to the technical field of chemical safety education, in particular to corollary equipment of a chemical safety education training mobile room. The device comprises a moving platform and a moving chamber fixed to the top of the moving platform, two protective doors are arranged at one end of the moving chamber, and a displayer is assembled on the inner side of the moving chamber. Through the structural design of the auxiliary mechanism, the device can conveniently publicize and display chemical safety education and training contents through a display, can carry out safety education in different chemical environments, can adjust the position of the display, is convenient to adapt to a watching scene, improves the flexibility, and is convenient to popularize and use. And through the structural design of the safety experience mechanism and the control mechanism, the device can simulate accidental working conditions generated in chemical production, storage tank and maintenance field scenes, can warn trainees to correctly wear protection, facilitates preliminary screening of trainees entering a mobile room, and is beneficial to improving the training efficiency.

The invention relates to the technical field of traffic safety, and constructs a man-helmet-vehicle road cloud cooperative safety ecology. Aiming at the problems of low intelligent level, few safety configuration functions, difficulty in law enforcement management, inaccurate positioning of complex road conditions, afraid rescue of accidents and the like of a riding vehicle, the invention discloses a riding intelligent safety helmet and an active and passive safety guard system. The riding intelligent safety helmet comprises a helmet system which is linked with the vehicle for detection, control and traceability; an anti-collision AEB and an active safety system capable of preventing head upwarp, controlling the speed at a curve and slowly descending on a steep slope are arranged; the passive safety system has the functions of SOS alarm, complex site accurate positioning and passerby rescue responsibility-free evidence obtaining; the mobile and fixed law enforcement device is composed of a UHF RFID reader and a directional antenna array, and recognition is not affected by the environment. The riding end of the riding big data platform is mainly used for helmet and bicycle binding, transaction and safety education, and the cloud end is used for safe driving scoring, a theme data warehouse, a safety knowledge base and quality traceability. The system protects the riding safety from the source in a linkage cooperation and multi-dimensional data driving mode.

The invention discloses a construction process for a line-out shaft under conditions of rock mass crushing, which belongs to the technical field of water conservancy and hydropower construction engineering, and comprises the following steps: S1, preparation before construction: including arranging temporary construction projects on site according to the actual construction requirements of the line-out shaft, conducting safety education and training for relevant personnel, and performing basic treatment on the bottom of the existing shaft; S2, construction of a geological drilling rig pilot hole; S3, backfilling and supporting the excavated part of the existing shaft; S4, construction of a raise drilling rig pilot hole; S5, construction of a shaft boring machine pilot hole; S6, dismantling of the shaft boring machine and the wellhead system; S7, excavation, support and lining of the entire cross-section of the wellhead locking section, and gradually completing the construction of the line-out shaft. By adopting a timely support method of excavating and supporting one layer at a time during the construction process and by timely support after excavation, the relatively short self-stabilization time of the surrounding rock under the condition of rock mass crushing is effectively utilized, and large-scale deformation and damage that may occur during the construction of the line-out shaft is avoided.

The invention relates to the technical field of safety education training management, and discloses a safety education training management method and system. The method comprises the steps of generating a core data seed containing initial parameter definition and parameter evolution rules, establishing a corresponding question bank, and performing capability detection and comprehensive evaluation. A plurality of parameter evolution interaction paths are constructed with the seeds as starting points, and observation sentinel points and behavior signal monitors are arranged on the paths and used for capturing state switching, behavior triggering and other original signals in the training process. When a signal is responded, dynamic mapping of the signal to a specific whistle point on a specific path is established, and the signal is analyzed into an adjusting or resetting instruction for a specific parameter according to the dynamic mapping. According to the method, automatic evolution of management parameters according to preset rules is realized, discrete events in training can be accurately converted into control instructions for driving self-optimization of the system, and closed-loop and self-adaptive regulation and control of a safety management strategy are completed.

The invention discloses a personnel factory entry comprehensive application management system and a use method thereof, and relates to the technical field of safety production management, and the system comprises a qualification examination management module, a three-level safety education module, and a risk management and control module. The qualification review management module comprises a personnel identity checking unit, a special operation certificate query unit, an outsourcing personnel guarantee state unit and a contract information state maintenance unit; the third-level safety education module comprises a training education unit and an education examination unit; the risk management and control module comprises an operation risk assessment unit, a personnel early warning unit and an operation area warning unit; according to the method provided by the invention, through the qualification examination management module, rapid examination of the qualification of the outsourcing personnel is realized, and the examination accuracy and efficiency are improved; through the three-level safety education module, the safety consciousness and the precaution capability of the overall outsourcing personnel are improved; and through the risk management and control module, unsafe behaviors of personnel and risk factors in an operation environment are warned, and potential accidents are effectively prevented.

The invention relates to the technical field of trend prediction, in particular to a worker unsafe behavior trend prediction method and system based on dual index clustering. The method comprises the following steps: carrying out stratified sampling on all coal miners; constructing a basic risk index and an unsafe behavior risk index; based on the basic risk index and the unsafe behavior risk index, kmeans clustering is carried out on individuals, teams or districts in the whole amount of coal miners; constructing a Bayesian discrimination model, and carrying out class cluster division on individuals, teams or districts in the whole amount of coal miners based on the Bayesian discrimination model; and on the basis of a class cluster division result, unsafe behaviors of individuals, teams or district teams in all coal mine workers are predicted, and corresponding prevention safety education plans and prevention management and control measures are formulated. Therefore, the problem that an existing prediction method cannot be suitable for the basic risk index and the unsafe behavior risk index at the same time is solved.

The invention discloses a prediction and early warning method for a safety production index, and the system mainly comprises the following indexes: obtaining various characteristic indexes, such as accident potential for representing the safety production condition of a production and operation unit, safety education training, emergency drilling, production safety accidents and the like, carrying out the detailed decomposition on the basis of the above characteristic indexes, and carrying out the prediction and early warning of the safety production index. A single index capable of better reflecting the characteristic indexes is constructed, all the indexes are classified, corresponding assignments and weights are given, a safety production prediction and early warning index is obtained through the relation between positive correlation and negative correlation of the safety production condition of a production and operation unit, and then the safety production index SPI of the current production and operation unit is calculated. The method can reflect the safety production condition of the current production and operation unit to a certain extent, can also predict the future production safety state by means of the prediction exponential function, and is of great significance to better and comprehensively understand the current defects in safety production and formulate targeted measures.

The utility model discloses an emergency safety education suit bag which comprises a bag body, the bag body is arranged to be of a double-layer structure, and the bag body is composed of a protective layer and a supporting layer; the protective layer fixedly wraps the outer side of the supporting layer, and the protective layer is made of a PVC soft film; the supporting layer is made of a PE material; a Velcro surface A is fixedly adhered to the front side surface in the bag body, a Velcro surface B is fixedly adhered to the rear side surface in the bag body, and the Velcro surface A and the Velcro surface B are adhered to each other; handles are adhered and fixed on the outer walls of the front and rear sides of the bag body; an inner bag is adhered to the inner wall of the front side surface of the bag body and can be used for accommodating a danger mark sticker; a mounting through hole is formed in the rear side surface of the bag body, and a peculiar smell removing component is detachably arranged in the mounting through hole, so that peculiar smell in the bag body can be improved and faint scent is kept in the bag body; emergency safety teaching aids are placed in the bag body to be prevented from being lost, and a user can conveniently and quickly find needed tools in the later period.

The invention relates to the technical field of engineering safety education, in particular to an engineering project construction safety education interaction method and system based on virtual reality. Performing dynamic diffuse reflection voxel tracking of rendering light on the three-dimensional model of the construction scene of the port engineering in combination with the construction progress information and the real-time environment parameters, and performing spatial time sequence fusion with actual scene scanning data to construct a virtual construction scene model of the port engineering; an optical positioning base station and an inertial measurement unit are adopted to capture the limb movement of the trainee in real time, and the joint position of the skeleton is subjected to forward and reverse iterative adjustment, so that the tail end posture of the virtual character approaches to the real-time operation posture feature for mapping; and carrying out registration operation on the real-time operation attitude characteristics and standard operation attitudes in the port construction safety operation attitude database, and judging whether the trainee violates the rule or not through the registration sensitivity of characteristic transformation. According to the invention, a vivid virtual reality scene can be constructed for students to carry out safety education interaction of port engineering construction, and the efficiency and the intelligent level of construction safety training are improved.

This utility model relates to the technical field of motor winding safety simulation devices, and provides a purely pneumatic mechanical injury training device, including a frame with a protective door installed on one side wall of the frame. A pneumatic assembly is installed inside the frame, comprising: an air compressor fixed to one side wall of the frame for providing compressed gas; and a gas pipeline connected to the air compressor. This utility model uses a set of simulated transfer manipulators, relying on stroke limit valves to achieve the main up-and-down movement of the cylinders. It requires no power supply, relying entirely on pneumatic switches. Simultaneously, each time the main movement is completed, the corresponding simulation components also selectively move, achieving a safety education demonstration effect. Furthermore, during manual demonstration of opening the protective door, a micro-motion valve and a roller-type mechanical reversing valve cut off the main air supply, and a door control switch circuit ensures a high safety factor, resulting in high usability.

The application discloses a behavior intervention system for juvenile traffic safety education and relates to the technical field of traffic safety education, and comprises the following steps: generating a multi-dimensional behavior DNA image based on operation data of juveniles in a virtual training scene; matching user resident geographic location information according to high-risk scene features in the multi-dimensional behavior DNA image and automatically labeling spatial anchor points in a real road map; and completing a micro intervention task by a user through a gesture action, instantly comparing the micro intervention task with historical data of the multi-dimensional behavior DNA image, and recording a safety behavior digital certificate of the micro intervention task; and adding the safety behavior digital certificate to a regional safety behavior integral pool and setting a family reward mechanism. The application constructs a multi-dimensional behavior DNA image by using micro behavior data such as a dangerous identification time difference and a decision accuracy rate collected in a virtual training scene, and realizes accurate characterization of individual risk features.

The invention discloses a construction site pre-class education supervision system based on an AI group image face recognition technology, which can intelligently recognize a worker gathering scene and automatically start capturing and recognition functions through a crowd gathering trigger algorithm, remarkably improves the working efficiency, is high in face recognition accuracy, ensures that the identity of a pre-class education worker is correct, effectively avoids substituted signing and missed signing, and improves the working efficiency. Meanwhile, voice and environment data in the education process are collected in real time, comprehensive and accurate information is provided for follow-up supervision and analysis, education content is converted into characters, storage and consulting are facilitated, standardized safety production management archive formation is facilitated, activity records are automatically generated, manual operation complexity and errors are reduced, facial images, environment data and archives are deeply counted and analyzed, and the education efficiency is improved. Potential safety hazards and education missing can be found in time, managers are automatically pre-warned, rapid response is assisted, workers are reminded of supplementary learning or reeducation, safety education is ensured to be complete and standard, and safety awareness and operation skills of the workers are improved.