In order to further improve the safety risk control capability of chemical research and experimental equipment，the causes of chemical research and experiment safety accidents in recent years were analyzed. Based on the current management practice of chemical research and experimental equipment，the safety risk control throughout the full life cycle from various aspects was implemented，such as feasibility study，design，construction，trial operation，and scrapping. The focus was on exploring the three main aspects of early safety review，equipment design，construction management，and operation safety management. By comparing the risk control of relatively mature hazardous chemical construction projects，the weak links and prominent problems in the chemical research and experimental equipment were analyzed. The results indicate that the safety risk control of chemical research and experiments is a systematic project that should fully draw on the experience of safety risk control in hazardous chemical construction projects. Scientific research and experimental equipment should be classified and reviewed for safety access control. Through source safety review，specification management design，construction quality control，confirmation of safety conditions during operation，equipment and facility management，hazardous chemical management，and other full process risk control measures，safety risks can be minimized to the greatest extent，providing references and choices for risk management of scientific research and experimental equipment.

In order to reduce the serious threat of slope sliding and the geologic disasters they cause to property safety，a novel slope sliding monitoring method was proposed by using a matching algorithm based on the improved Harris corner point detection technique. First，an image processing model for predicting slope sliding displacement was constructed by optimizing the Harris corner point detection; then，based on the calibrated template，the changes in the location of the corner points were monitored to accurately estimate the sliding displacement and track its trajectory，so as to effectively monitor the movement of the slope; finally，a modularized test environment was constructed to monitor slope sliding conditions. The results show that the method reduces the generation of pseudo-corner points in slope monitoring and identification，improves the accuracy and efficiency of corner point detection，and effectively records the tiny sliding of the target in the horizontal，vertical，and inclined directions to form trajectory tracking results.

In order to prevent the occurrence of fire accidents caused by external factors in coal mines，achieve efficient and rapid response after the risk is out of control，and minimize casualties and property losses，the Daliuta coal mine of Shendong Coal Group was used as an example. The key external factors causing fire accidents in large and super-large coal mines were analyzed，and pre-disaster prevention and control measures were summarized. In addition，emergency response technologies were explored. The results show that long-distance tape machine friction ignition，overheating of high-voltage cables and equipment，and spontaneous combustion of auxiliary transportation vehicles are key external factors causing fires in large coal enterprises. Emergency response technologies such as airflow short circuits，local backflow，new air door control，fire zone closure，and compressed air self-rescue can be adopted to deal with fire accidents caused by external factors in coal mines. Fire accidents caused by external factors in coal mines feature common occurrences，serious losses，and difficult responses. Therefore，a comprehensive management technology combining pre-disaster prevention and emergency response is needed to ensure the safety of mine production.

In order to protect the psychological health of heavy-haul locomotive crew and explore the level of psychological health and influencing factors of heavy-haul locomotive crew，a sampling survey was conducted on the health and performance data of locomotive crew. First，the psychological health characteristics corresponding to safety performance were extracted，and psychological standards for the crew were developed. Then，the characteristics of the sampling objects were collected and counted，and influencing factors were analyzed. The results show that the safety attitude and safety thinking of heavy-haul locomotive crew are significantly higher than those of other job groups. At the same time，the psychological state of the heavy-haul locomotive crew is positively correlated with their level of education and negatively correlated with their sleep quality. Meanwhile，conducting psychological state assessments for the heavy-haul locomotive crew is helpful for normalizing psychological health monitoring. By constructing a full-cycle psychological health indicator for key positions，a new method for evaluating the psychological health of heavy-haul locomotive crew is developed，and it can serve as a reference for other industrial and mining enterprises to evaluate the psychological health of key position groups.

In order to solve the problem that the information silos caused by the narrow bandwidth and long delay of the network in the fully mechanized coal mining face in the coal mine fail to meet the needs of intelligent mining，the 5G communication technology with high bandwidth and low delay was proposed to upgrade the industrial control system and design an intelligent coal mine safety control platform. Firstly，based on the design concept of an intelligent coal mine safety control platform，the overall architecture of the intelligent coal mine safety control platform was introduced，and the coal mine safety information processing mechanism was analyzed. Then，a coal mine safety risk analysis index system was constructed，and an improved particle swarm optimization algorithm was used to optimize a multi-layer feedforward neural network to determine the level of coal mine safety risks. Finally，based on 5G communication technology，the intelligent remote control of coal mines was achieved by combining geological data and video analysis of the coal mining face，5G remote control，personnel safety assurance，and digital twin systems. Research has shown that the intelligent coal mine safety control platform improves the storage，transmission，and processing efficiency of data streams，effectively avoiding the phenomenon of information silos between multiple systems and providing a new method for promoting the implementation of unmanned mining mode in coal mining faces and achieving efficient coal mine safety control.

In order to ensure the safe mining of isolated island working face with impact ground pressure，the isolated island working face mining under the condition of a thick and hard rock layer in a mine was taken as the background. Based on the key layer theory of rock layer control and the viewpoint of the spatial structure of overlying strata，the basic characteristics of the spatial structure of overlying strata formed in the isolated island working face were studied through case study，theoretical analysis，and on-site monitoring，as well as the monitoring and identification method and its anti-impact mining design. The formation process and distribution characteristics of the spatial structure of Γ-type overlying strata were identified，and a mechanical model of reasonable width of the isolated island working face under the spatial structure of Γ-type overlying strata and with the abutment pressure as the main assessment index was established and applied for verification. The results show that the isolated island working face under the condition of one side being fully mined and the other side not being fully mined can form a spatial structure of Γ-type overlying strata with the overlying thick key layer，and the implementation scheme proposed in the paper meets the requirements of the field engineering and can ensure normal mining.

In order to further improve the safety production management level of heavy-haul railway enterprises and consolidate the foundation of safety production management，the safety production standardization construction and evaluation system was introduced into heavy-haul railway enterprises to promote safety production standardization construction in heavy-haul railway enterprises. Through research and analysis，the basic principles，system composition，element framework，operational model，work procedures，and evaluation methods of safety production standardization construction were clarified，and research on the safety production standardization evaluation system for heavy-haul railway enterprises was carried out. The safety production standardization evaluation system was mainly composed of three parts: a list of veto items，a list of bonus points，and a list of evaluation elements and weights. The evaluation elements included three core elements，40 first-level elements，and 190 second-level elements. At the same time，weight conversion solved the problem of how to evaluate the safety production standardization construction in some heavy-haul railway enterprises，which do not involve one or more first-level elements in the core elements within their business scope. The results show that the safety production standardization evaluation system effectively promotes the implementation of the main responsibilities of heavy-haul railway enterprises，as well as the systematization of safety management，standardization of job operation behaviors，intrinsic safety of equipment and facilities，and allocation of equipment in working environments，which strengthens the safety production management level of Xinzhun Railway Company.

To ensure the effective contact area between the carbon brush and the rotor and reduce the occurrence of electric sparks，a new type of carbon brush grinding and polishing device was proposed. Based on the dynamic modeling principle of the clearance mechanism，a method for characterizing the internal clearance between the rotating pairs by using the massless virtual rod method was adopted to establish the continuous contact dynamic equation of the connecting rod with clearance. MATLAB was used to solve the equation，and the influence of the clearance between the rotating pairs and the speed of the crankshaft on the dynamic stability of the connecting rod mechanism with clearance was studied. In order to reduce the influence of fitting clearance and speed on its dynamic performance，a low speed of 10 r/min was used for attitude adjustment，and the fitting clearance between the rotating pairs should be controlled within ± 0.2 mm. By adjusting the posture of the carbon brush，the dynamic stability of the carbon brush mechanism was improved. The results show that under the same speed of the crankshaft and structural parameter conditions，smaller clearance between the rotating pairs indicates better dynamic stability of the attitude adjustment mechanism. Under the condition of constant clearance，a slower speed of the crankshaft indicates better dynamic stability of the attitude adjustment mechanism.

In order to promote the improvement of the new mode of contactless delivery，improve the quality of cold chain food，and develop new quality productive forces，it is necessary to study the internal influence mechanism of risk factors of contactless delivery of food cold chain. Firstly，the characteristics of the contactless delivery mode were systematically analyzed based on the national standard documents and related literature，and the risk index system of the contactless delivery of food cold chain was constructed，including six first-level indicators and 17 second-level indicators. Then，the FDANP was used to evaluate the risks at all levels，determine the causal relationship between the factors，and quantify the weight of the risk factors. The results show that information risk，personnel risk，cold chain technology，and equipment risk can affect other risk factors in the first-level indicators. Among the second-level indicators，factors such as natural disasters，delivery timeliness，and optimal transportation planning are the key risk factors. In the future，the new mode of contactless delivery of food cold chain can be improved from three aspects: improving the level of informatization，attaching importance to emergency response capabilities，and enhancing supervision.

In order to ensure the safe and efficient operation of the emergency command system of hydropower stations and improve the level of digitalization and intelligentization of emergency responses，the difficulties of traditional emergency responses of hydropower stations were analyzed. The knowledge graph technology was used to standardize the massive heterogeneous information of hydropower stations，and a standardized information base was formed. The research and application of multi-source heterogeneous information fusion technology in the process of accident responses were carried out to realize the real-time acquisition，processing，and analysis of multi-source heterogeneous information. By means of data mining，analysis and processing，fusion and application，the fault early warning model was built to accurately study the nature of the accident and fault location and automatically generate the optimal response guidance scheme，so as to guide emergency response personnel to carry out fault control，equipment isolation，and risk identification safely and efficiently. In addition，it helped deduce the effect of emergency response measures and fault development situations intelligently in the response process and dynamically optimize response measures. At the same time，by building a visual information sharing platform，the key points of accident responses and the progress of measures were displayed dynamically，and the key guidance information was pushed intelligently according to the division of duties of the personnel in the emergency command system，so as to realize the complementary interaction and cooperative command of each level of emergency response and establish an efficient，intelligent，and visual emergency command system.