86 results about "Hazardous materials transportation" patented technology

The invention relates to the technical field of dangerous goods transportation supervision, in particular to a waybill enhancement method based on track data of a dangerous goods transportation vehicle, and the method comprises the steps: obtaining high-dimensional track data of the transportation vehicle and time sequence track data without missing values; identifying an effective parking point list of the transport vehicle; and carrying out behavior characteristic analysis and duration analysis on the effective stop point list, carrying out correlation comparison on the classified stop information of the same transport vehicle and the pre-filled waybill information, and generating an enhanced waybill according to the consistency of the classified stop information of the time sequence track data and the pre-filled waybill information. According to the method, the accurate and effective enhanced waybill is generated, so that the monitoring and management capability of the dangerous goods transportation process is remarkably improved, the timely identification and processing of abnormal conditions are ensured, and the enhanced waybill is also beneficial to quickly tracing accident causes.

The invention discloses a ship dangerous goods transportation safety control method and system, and relates to the field of marine transportation, and the method comprises the steps: obtaining dangerous goods parameter data of a dangerous goods monitoring sensor, the dangerous goods parameter data comprising gas concentration, temperature and smoke concentration; under the condition that the sensor parameter data exceeds a preset parameter threshold value, acquiring motion attitude data and inclination angle data of the current ship and pressure distribution data of the cargo on the bottom and the side surface of the cargo hold; calculating the center-of-gravity offset of the current ship based on the motion attitude data, the inclination angle data and the pressure distribution data; calculating a fixed adjustment parameter of the cargo fixing device based on the gravity center offset; and sending a device adjustment instruction containing the fixed adjustment parameter to the target client. By implementing the method, the efficiency of adjusting the cargo fixing device can be improved.

The invention discloses a dangerous goods transportation charging method based on risk assessment, and relates to the technical field of dangerous goods transportation charging, and the method comprises the following steps: collecting the data of traffic flow, accident occurrence frequency, environmental factors and the like of each road segment in a dangerous goods transportation network, and calculating a dangerous goods transportation charging result based on a population coverage risk model and an accident expected value calculation method; and evaluating the potential risk level of each road section. Through multi-dimensional data fusion and an advanced algorithm, real-time assessment and path optimization of transportation network risks are realized. A population coverage risk model and an accident expected value calculation method are adopted, high-risk road sections are accurately recognized, transportation tasks are reasonably distributed, and safety is improved. Meanwhile, the genetic algorithm is utilized to optimize the transportation path, balance the cost and risk, reduce the transportation cost and guarantee the safety. Global path distribution is optimized through a simulated annealing algorithm, excessive load of high-risk road sections is avoided, task distribution is dynamically adjusted according to risk prediction, reasonable resource allocation is ensured, and transportation efficiency and safety are improved.

The invention discloses a dangerous goods expressway transportation green path planning method based on multi-source data, and relates to the field of traffic transportation planning and management, and the method comprises the steps: obtaining and processing multi-source data related to a dangerous goods expressway transportation green path planning process; calculating an alarm rate, a dangerous goods transportation accident consequence and a risk mitigation factor of each highway section, and constructing a risk assessment model; calculating greenhouse gas and atmospheric pollutant emissions in the vehicle operation process, and constructing an external cost evaluation model in combination with a unit gas monetization price; constructing a dangerous goods expressway transportation green path planning model by taking the lowest transportation risk and the lowest external cost as double targets; and designing a mixed algorithm combining an ant colony algorithm and a simulated annealing algorithm to solve the model, and outputting a result. According to the method, the highway transportation risk of the dangerous goods can be comprehensively evaluated, and a group of path planning schemes in which the transportation risk and the external cost are balanced can be obtained.

The invention discloses a container terminal truck intelligent scheduling method and system based on multiple driving modes. The method comprises the steps that a whole-process system architecture integrating a central scheduling platform, a vehicle-mounted intelligent terminal and a sensing and communication network is constructed; the method comprises the following steps: acquiring basic data of vehicles, tasks, road networks and environments, constructing a multi-objective optimization function, establishing a dangerous goods risk integral model, respectively setting mathematical constraints for task assignment, path planning, hybrid driving coordination, dynamic path tracking and mode switching, and forming a multi-dimensional mathematical model; an improved non-dominated sorting genetic algorithm is adopted to solve the model, and a personalized scheduling scheme including vehicle-task assignment, path planning, time requirements and risk control rules is generated; through cooperation of the central scheduling platform and the vehicle-mounted intelligent terminal, MPC dynamic path tracking is adopted for the unmanned vehicle, visual and voice dual-mode guidance is provided for the artificial vehicle, and hybrid driving cooperative management and control are implemented, so that the vehicle operation efficiency and the dangerous goods transportation safety are guaranteed.

The invention discloses a security declaration file generation method and device, a medium and a product, and relates to the field of data processing. The method comprises the following steps: receiving a dangerous goods transportation voucher of a target dangerous goods provided by a freight station; carrying out digital preprocessing on the dangerous goods transportation voucher to obtain a standardized digital file; extracting a plurality of dangerous article field information from the standardized digital file; based on the OCR recognition accuracy, the semantic matching degree and the field integrity, determining the confidence score of the field information of each dangerous article; key field information is determined according to the confidence score; generating a potential risk score based on the key field information and the aviation dangerous goods knowledge graph; generating a comprehensive evaluation value according to the confidence score and the potential risk score; and when the comprehensive evaluation value is higher than or equal to a preset evaluation value threshold value, generating a security declaration file based on a preset airline template and the standardized digital file. The problem that the security declaration file generated by the related technology is not accurate and reliable enough can be relieved.

The invention relates to the technical field of transportation supervision platforms, in particular to a dangerous goods transportation vehicle positioning system based on the 5G Internet of Vehicles, which comprises a management unit, a monitoring unit and an early warning unit. According to the invention, the early warning mechanism construction module constructs an early warning trigger mechanism and sets a dynamic early warning threshold value, the dynamically adjusted early warning threshold value can be matched with vehicle transportation data under various conditions, and the monitoring data acquisition module can acquire accurate dangerous goods parameter information and vehicle information. According to the system and the method, accurate hazardous article parameter information can be compared with a threshold value, accurate triggering of early warning can be ensured when an abnormity occurs, timely sending of an alarm is ensured, a subsequent emergency processing effect is ensured, multi-source data acquisition can be realized through a multi-source data acquisition module, and the system and the method are suitable for popularization and application. Data can be cleaned, fused and synchronized through the data correction processing module, rapid processing of the data can be achieved, and errors generated when the sensor is used can be reduced through sensor calibration.

The invention discloses a road transportation informatization safety supervision method and system, and relates to the technical field of route planning. Acquiring a road network of the target vehicle in the transportation area to obtain a route distribution map; for each section of route in the route distribution map, determining a transportation score, a time score and a danger score corresponding to the section of route according to historical data; determining a total transportation score of each route according to the transportation score, the time score and the danger score; determining an optimal path of the target vehicle from the starting point to the terminal point according to the total transportation score of each section of route; and for each section of route in the optimal path, determining the vehicle detection frequency of the route according to the danger score. The optimal path is determined by comprehensively considering the transportation score, the time score and the danger score, then the vehicle detection frequency of the route with the high danger score is determined, the monitoring strength can be dynamically adjusted, for the route with the high danger score, the vehicle detection frequency is increased, accidents or other safety events are effectively prevented, and the safety of dangerous goods transportation is improved.

The present invention relates to the field of dangerous goods transportation supervision technology, and in particular to a waybill enhancement method based on trajectory data of dangerous goods transportation vehicles, the method comprising obtaining high-dimensional trajectory data of the transportation vehicle, time series trajectory data without missing values; identifying a valid stop point list of the transportation vehicle; performing behavioral feature analysis and duration analysis on the valid stop point list, correlating and comparing the classified stop information of the same transportation vehicle with the pre-filled waybill information, and generating an enhanced waybill based on the consistency between the classified stop information of the time series trajectory data and the pre-filled waybill information. The present invention significantly improves the monitoring and management capabilities of the dangerous goods transportation process by generating accurate and effective enhanced waybills, ensuring the timely identification and handling of abnormal situations, and the enhanced waybills also help to quickly trace the cause of the accident.

The utility model discloses a leakage-proof device for transporting dangerous chemicals, which is characterized in that a sealing groove is formed in the end face of a discharging pipe, a sealing gasket is arranged on the end face of the sealing groove, a threaded ring is arranged on the surface of the discharging pipe, a cavity is formed in the surface of the threaded ring, sealing oil is injected into the cavity, a sealing plate is arranged on the surface of a sealing pipe, and a bottom plate is arranged on the surface of the sealing plate. Positioning grooves are formed in the surface of the bottom plate; the device has the beneficial effects that firstly, the sealing plate is in threaded connection in the threaded ring, the cavity is formed in the threaded ring, and when the sealing pipe is matched with the threaded ring to be fixed in the discharging pipe, on one hand, the discharging pipe can be sealed through extrusion of one end of the sealing pipe on the sealing gasket; and on the other hand, sealing oil is injected into the cavity, so that sealing of the discharging pipe can be further improved, and safety is improved.

The utility model discloses an anti-collision structure for dangerous goods transportation, which relates to the technical field of dangerous goods transportation and comprises a blocking rod inserted into a positioning top frame. The use position of the positioning assembly in the positioning top frame can be freely adjusted and controlled for use, the positioning and fixing device can adapt to positioning and fixing use of hazardous article packages of various different outer diameter specifications, a transport frame does not need to be independently designed for hazardous articles of various specifications, the cost is greatly saved, and when the positioning assembly is in a reset state, the positioning assembly can be locked in the positioning top frame, so that the use is convenient. Therefore, the dangerous goods and packages thereof are stably supported, protected and positioned, the dangerous goods are prevented from being collided, damaged and the like during transportation, and the problems that according to an existing dangerous goods transportation placing frame, the dangerous goods packages are separated and positioned through isolation rods at fixed intervals, and due to the fact that the dangerous goods are various in variety, the dangerous goods are difficult to transport are solved. The difference between the packaging size and the outer diameter specification parameter is large, and the fixed distance between the spacer bars is often difficult to meet the diversified requirements.

The multi-terrain load robot comprises an integrated load platform, at least eight supporting transmission rods are arranged at the bottom of the integrated load platform in a sliding fit mode, a bidirectional sliding rail is arranged at the bottom of the integrated load platform, and the eight supporting transmission rods are all arranged in the bidirectional sliding rail in a sliding fit mode; the integrated load platform comprises a load bearing platform base and a master control processor embedded in the load bearing platform base, a horizontal and distance monitoring mechanism is arranged on the load bearing platform base, the master control processor is electrically connected with the horizontal and distance monitoring mechanism, and a driving mechanism matched with the two-way sliding rail is arranged at the top end of the supporting transmission rod. A hydraulic supporting rod is arranged at the bottom end of the supporting transmission rod. Through the arrangement of the integrated load platform, the supporting transmission rods and the hydraulic supporting rods, high load can be achieved through the multiple hydraulic supporting rods, meanwhile, the integrated load platform can keep horizontal in the transportation process, and the platform is suitable for high-precision instrument or equipment transportation and can be used for dangerous goods transportation.

A specified driver management system based on biometric identification technology is provided. The system reads a document held by a driver and acquire biometric information of the driver by a driver identity verification unit, then performs on-site person-document consistency verification and performs comparison with biometric information corresponding to identity information of an authorized driver, thereby finishing driver identity verification. The identity verification result is linked to a vehicle control unit, to determine whether the vehicle is permitted to start. The system binds the driver identity with drive permission of an operating vehicle, and controls start permission of the vehicle and / or generate a safety warning to an illegal driver according to the driver identity verification result. This guarantees the driving safety of operating vehicles such as “Tourist Chartered Buses, Liner Buses, and Dangerous Goods Transport Vehicles” from the perspective of drivers.

The invention provides a dangerous goods transportation path optimization method, and relates to the technical field of path planning, and the method comprises the steps: S1, obtaining node data of a transportation network, and calculating the dissimilarity degree between different paths of dangerous goods transportation; s2, based on the dissimilarity degree between the different paths, calculating the risk degree of simultaneously transporting the dangerous goods on the different paths; s3, establishing a dual-objective optimization model by taking the maximum dissimilarity degree between different paths of dangerous goods transportation and the minimum risk degree of simultaneous transportation of different paths as objectives; s4, solving the dual-objective optimization model based on a non-dominated sorting genetic algorithm to obtain an optimal solution, and outputting the optimal solution to obtain an optimal path of dangerous goods transportation; the dangerous goods transportation risk can be remarkably reduced, the transportation dissimilarity degree is improved, and safer and more effective dangerous goods transportation is achieved.

The utility model belongs to the technical field of traffic facilities, and particularly relates to a highway toll station dangerous goods transport vehicle monitoring and early warning device which comprises a box body. A fixing plate is fixedly connected to the box body, a screw rod is rotationally connected to the fixing plate, a first motor is fixedly connected to the bottom of the screw rod, and the first motor is arranged in the box body; the motor shaft is driven by the second motor to rotate, then the first gear is driven by the motor shaft, the second gear is driven by the first gear to rotate, and then the infrared monitor connected with the rotating rod is driven to adjust the angle, so that the vehicle can be monitored at multiple angles during monitoring, and the temperature of the passing vehicle is monitored by using the infrared monitor; when leakage occurs, whether leakage occurs or not is judged by comparing the in-vehicle temperature with the outdoor temperature, the temperature sensor monitors the outdoor temperature in real time, the sliding rod assists the sliding frame to move, and then the infrared monitor on the connecting block connected with the sliding frame is driven to adjust the height, so that monitoring is more convenient.

The invention discloses a dangerous goods vehicle monitoring method and device, and relates to the technical field of construction safety monitoring, and the method comprises the following steps: continuously collecting vehicle-mounted terminal data, and obtaining multi-source data; carrying out preprocessing and fusion processing on the multi-source data; transmitting the processed data to a monitoring center through a dual communication channel; analyzing the processed data through the monitoring center to obtain an analysis result; based on an analysis result, performing multi-stage early warning and active intervention; by integrating Beidou high-precision positioning, multi-source sensor data and a dual-channel communication technology, all-directional real-time monitoring of the dangerous goods transportation vehicle is realized; the driving behavior risk score and the tank state dynamic analysis are combined, the potential risk can be accurately identified, and through the multi-stage early warning and active intervention mechanism, the transportation safety is effectively improved, the public environment is guaranteed, and the emergency response efficiency is improved.

The invention discloses a multi-target path optimization system and method for hazardous chemical substance road transportation, and the system comprises an optimization housing, and the interior of the optimization housing is fixedly provided with a path optimization system. Optimizing the Bayesian network model by using a Pearson chi-square test method and a Granger causal test method, and constructing a transportation accident consequence risk model by comprehensively considering accident severity, accident handling time, an accident influence area, accident road section population density and accident road section environment characteristic indexes; secondly, on the basis of dangerous goods transportation risk analysis, analysis is carried out according to the transportation distance, the transportation cost and simultaneous design cases; and finally, considering the finite rationality characteristics of decision makers, carrying out investigation and empirical analysis on the path planning principles and preferences of the dangerous goods transportation enterprises, effectively solving the multi-target dangerous goods transportation path optimization problem, and providing reference for the transportation line selection decision of the dangerous goods enterprises.

The invention belongs to the field of accident risk grading, and relates to a dangerous goods transportation leakage accident consequence risk grading evaluation method based on accident range area simulation, and the method comprises the steps: obtaining data information after a traffic accident; inputting the data information into the accident range area simulation model to obtain an accident consequence index; performing clustering analysis on the accident consequence indexes by adopting a K-means algorithm to obtain a dangerous goods transportation leakage accident consequence risk grading result; evaluating an accident consequence risk grading result; determining the severity and the influence range of the accident consequence according to the evaluation result; constructing a three-dimensional comprehensive risk evaluation matrix, querying three grading matrixes, obtaining corresponding risk grades, and performing comprehensive risk grade evaluation; carrying out fuzzy clustering analysis to obtain a transportation road section risk grade, and defining a road section risk value as a product of a road section grade and a road section length; calculating the risk value of the transportation route by using the thought of a triangular fuzzy number; screening the transportation routes according to the risk values to obtain an optimal transportation route of the dangerous goods; the risk grading evaluation model can be continuously optimized and perfected by establishing a feedback mechanism, and the accuracy and reliability of an evaluation result are improved.

The invention relates to a dangerous goods logistics distribution method based on a block chain technology, and the method comprises the steps: constructing a dangerous goods transportation monitoring alliance and a goods transportation bearing alliance, and correspondingly forming a dangerous goods transportation monitoring block chain and a dangerous goods combined transportation block chain; the dangerous goods supervisor issues each dangerous goods transportation participation identifier to the dangerous goods combined transportation block chain, and each goods transportation carriage node in the goods transportation bearing alliance issues own carriage capability information to the dangerous goods combined transportation block chain; and the cargo transportation bearing scheme planning party forms an optimal logistics distribution scheme for transporting the dangerous cargos, and after the optimal logistics distribution scheme is confirmed by the dangerous cargo sending party, the dangerous cargo supervision party instructs cargo transportation carrying nodes in the cargo transportation bearing alliance to execute the optimal logistics distribution scheme. Therefore, the route optimization processing of the dangerous goods logistics distribution scheme is realized, and the safe storage of the distribution full-chain data on the block chain is ensured.

This invention provides a real-time route optimization method based on GPS vehicle positioning, belonging to the field of route planning and optimization technology. It acquires GPS positioning data, vehicle load data, hazardous material type data, and road restriction data of hazardous materials transport vehicles, and combines this with feasibility assessment and real-time risk assessment of candidate routes to achieve dynamic route optimization and priority ranking. When temporary traffic control is detected in sensitive areas, the route can be quickly replanned. This invention can significantly improve the safety and flexibility of hazardous materials transportation route planning, effectively reduce potential risks during transportation, and further enhance transportation safety while ensuring transportation efficiency.

The invention provides a dangerous goods vehicle abnormal aggregation real-time monitoring method based on ST-DBSCAN, and belongs to the technical field of spatio-temporal data clustering analysis, and the method comprises the following steps: S1, preprocessing original vehicle coordinate data, and storing the data in a time sequence database; s2, sliding a time window to read the track of the dangerous goods vehicle; s3, the track of the dangerous goods vehicle is subjected to duplicate removal according to license plate numbers; step S4, an ST-DBSCAN algorithm is initialized; step S5, an improved ST-DBSCAN clustering process is executed; s6, noise points in the clustering set are removed; and S7, carrying out map visualization and automatic early warning. According to the invention, the reliability of aggregation alarm can be improved, and false alarms are significantly reduced; cooperative management of dangerous goods transportation is assisted, and the safety level of the whole transportation chain and public travel confidence are improved.

The application discloses a multi-terrain load robot, which comprises an integrated load platform, the bottom of the integrated load platform is slidably matched with at least eight supporting transmission rods, and the bottom of the integrated load platform is provided with a bidirectional slide rail, and the eight supporting transmission rods are all slidably matched in the bidirectional slide rail; the integrated load platform comprises a load platform base and a general control processor embedded in the load platform base, a horizontal and distance monitoring mechanism is arranged on the load platform base, the general control processor is electrically connected with the horizontal and distance monitoring mechanism, the top end of the supporting transmission rod is provided with a driving mechanism matched with the bidirectional slide rail, and the bottom end of the supporting transmission rod is provided with a hydraulic supporting rod; the integrated load platform, the supporting transmission rod and the hydraulic supporting rod are arranged, a plurality of hydraulic supporting rods are adopted to realize high load, the integrated load platform can keep the platform horizontal during transportation, the application is suitable for high-precision instrument or equipment transportation, and can be used for dangerous goods transportation.

The utility model discloses a kind of gas tank container loading and unloading port leak-proof structure, it is related to tank body leak-proof technical field, including tank body and the main frame for fixing tank body, the upper of tank body is provided with manhole, manhole is provided with manhole overflow box, the upper of tank body is close to the side of manhole and is provided with safety valve assembly, safety valve assembly is covered with safety valve overflow box;Two groups of gas phase holes and two groups of liquid phase holes are provided on manhole, two groups of gas phase holes and two groups of liquid phase holes are respectively mounted with valve assembly for controlling material loading and unloading, valve assembly includes check valve and ball valve fixed in series by flange, check valve is located above ball valve, the side surface of check valve is connected with air cock, air cock is connected gas storage tank by gas pipe, pressure reducing valve is connected on gas pipe, for receiving compressed gas from gas storage tank. Ball valve is opened in pneumatic mode, greatly reduce the risk of safety accident, fully comply with the strict safety standards of dangerous goods transport.

The invention provides a cross-border river water transportation pollution risk acquisition method, which comprises the following steps of: acquiring a first evaluation index according to the ship route traffic volume, the ship route dangerous goods transportation ship volume, the ship route water refueling point number and the ship route loading and unloading wharf number of a water transportation ship route of a drinking water cross-border area, obtaining a second evaluation index according to the water quality standard-reaching proportion and the navigable water flow of the navigable water body of the water transportation route of the drinking water transboundary region, acquiring a third evaluation index according to the shortest distance between the cross-boundary section and the refueling point, the shortest distance between the cross-boundary section and the wharf, the percentage of the area of a drinking water source protection area in the navigable river to the area of the whole river, the precious and rare aquatic species of the water containing body and the population density of the cross-boundary area; and according to the first evaluation index, the second evaluation index and the third evaluation index, obtaining a risk index taking the water traffic route as a risk source so as to indicate the risk of water pollution accidents caused by the water traffic route of the drinking water transboundary region.

The present application relates to the technical field of dangerous goods transportation, in particular to a railway dangerous goods transportation emergency material management optimization method. The present application determines the predicted demand materials of the current disaster point and the initial transportation route thereof, clusters the predicted demand materials of the current disaster point to obtain a material cluster; obtains a safety constraint factor of the material cluster, and divides the material cluster into an ideal cluster and a to-be-processed cluster; adjusts the overlap of the initial transportation routes of different predicted demand materials by using the safety constraint factor, re-clusters the predicted demand materials in the to-be-processed cluster, obtains a new to-be-processed cluster, and adjusts the safety constraint factor of the new to-be-processed cluster until the safety constraint factor meets a preset condition; the to-be-processed cluster meeting the preset condition is the ideal cluster; determines an optimized transportation route according to the initial transportation route of the predicted demand materials in the ideal cluster, and transports the predicted demand materials according to the optimized transportation route. The present application can effectively solve the problem of excessive concentration of dangerous goods in the material transportation process, and improve the efficiency of railway transportation.

The application discloses a dangerous goods road transportation remote electronic escort intelligent supervision system and method, and belongs to the technical field of Internet of Things operating systems. The system comprises a data acquisition and fusion module, which acquires multi-source data of dangerous goods transportation vehicles in real time, and generates standardized fusion data flow; a transportation risk prediction and evaluation module, which generates a predictive risk map according to the standardized fusion data flow; a path planning module, which generates a risk avoidance path set based on the predictive risk map, and outputs a recommended path scheme; and an execution module, which generates graded early warning instructions and path adjustment suggestions according to the predictive risk map and the recommended path scheme, and simultaneously tracks the actual driving track and risk changes of the dangerous goods transportation vehicles in real time. The method comprises steps T1-T4. The application fuses historical and real-time data through the transportation risk prediction and evaluation module, constructs a predictive risk map, and realizes quantitative prediction and visual early warning of future accident risks of road sections.

This utility model discloses a container door structure and a container for the storage and transportation of dangerous goods, including a first door panel assembly, a second door panel assembly, and a locking assembly. When the first and second door panel assemblies are in a relatively closed state, the opening / closing sides of the first and second door panel assemblies abut against each other. The locking assembly is configured to lock the opening / closing sides of the first and second door panel assemblies outside the container body. The locking assembly is also configured to unlock the first and second door panel assemblies inside the container body, allowing the rotating sides of both the first and second door panel assemblies to rotate relative to the container body, while the opening / closing sides of the first and second door panel assemblies move away from each other. The purpose of this utility model is to address potential problems such as leakage, high-concentration volatilization, and personnel entrapment during the transportation of dangerous goods by employing effective technical means, thereby improving the safety and reliability of dangerous goods transportation.

The present invention belongs to the technical field of oxygenation equipment, specifically a mobile oxygenation equipment for square cabins and field hospitals, comprising a support base, a connecting plate, a connecting groove and a rotating shaft, wherein connecting plates are fixedly provided on the front and rear sides of the support base, a connecting groove is provided inside the connecting plate, a rotating shaft is movably installed inside the connecting groove, and the surface of the rotating shaft is rotatably connected to the square cabin, and electric push rods are fixedly provided on the left and right sides of the support base, a fixing plate is fixedly provided on the top of the electric push rod, a rubber pad is fixedly provided on the top of the fixing plate, a connecting shaft is fixedly provided on the bottom end of the rubber pad, a bottom plate is provided below the connecting shaft, and a surface of the bottom plate is provided with an oblique cut surface; the integrated container gas bottle equipment can supply oxygen at any time at the temporary site of the square cabin or field hospital, reduce the transportation link of dangerous goods from the bottled factory to the hospital, prevent cross infection between hospitals, and can play an explosion-proof function.

A method and system for safety access control of hazardous materials transport vehicles includes: responding to a first vehicle positioning signal and executing a first verification process: acquiring entry verification data and verifying the validity of the entry verification data; if the first verification process passes, recording entry identity information and executing a second verification process: acquiring and recognizing a vehicle image, and verifying the consistency of the image recognition result with preset vehicle data and road transport permit information; if the second verification process passes, generating a vehicle entry instruction; responding to a second vehicle positioning signal and executing a third verification process: collecting the current driver's biometrics and extracting current identity features, and verifying the consistency of the current identity features with the entry identity information; wherein, if any verification process fails, an early warning mechanism is triggered. This invention can ensure the accuracy and consistency of driver identity throughout the transportation process, improving the efficiency and safety of safety access control for hazardous materials transport vehicles.

The invention discloses a vision-based identification method and system for dangerous goods transportation drivers and conductors in a service area, and the method comprises the steps: constructing a driver and conductor template through integrating a pedestrian detection model and a pedestrian re-identification model, and carrying out the feature matching through employing feature images of a continuous preset frame number; the accuracy of personnel identity distinguishing in a complex service area environment is remarkably improved, and the technical problem that drivers and conductors cannot be effectively distinguished in the prior art is solved; through a deep learning pedestrian detection and re-identification algorithm, accurate distinguishing and automatic alarming of drivers and passengers are realized, the supervision efficiency is improved, the cost is reduced, and the real-time performance and the accuracy of the system are enhanced, so that illegal intrusion of non-drivers and passengers is avoided, and safe operation of an intelligent service area is ensured; by integrating pedestrian detection and feature matching technologies, the problem of accurately distinguishing drivers and passengers from non-drivers and passengers in the service area is effectively solved, and the safety supervision capability of the expressway intelligent service area is improved.