37 results about "Hazardous materials transportation" patented technology

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 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.

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.

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.

The application relates to the field of dangerous goods early warning technology and discloses a dangerous goods monitoring method and device applied to water transportation, which comprises the following steps: judging whether a to-be-controlled ship satisfies suspicious transportation conditions according to registered historical dangerous goods transportation information for different ships; if yes, determining a dangerous goods prediction result corresponding to the to-be-controlled ship according to the historical dangerous goods transportation information and suspicious ship division results, and generating a danger prevention and control prompt instruction, wherein the danger prevention and control prompt instruction is used for prompting a staff member about one or more of dangerous nature information of suspicious transportation goods, goods storage position information, goods quantity information and other goods information. It can be seen that the application can improve the accuracy and reliability of the generated danger prevention and control prompt instruction, and further improve the control efficiency and control accuracy of the to-be-controlled ship, so as to improve the dangerous goods monitoring accuracy and monitoring efficiency of water transportation, and reduce the manpower and material resources consumed by danger prevention and control.

The utility model provides a marker lamp for dangerous goods transportation, which relates to the technical field of transportation warning and comprises a warning main body, an embedded groove is formed in the center of the front end face of the warning main body, and an LED lamp panel is fixedly mounted on the rear side face of the inner end of the embedded groove; a semitransparent warning plate is installed in the embedded groove and adjacent to the front side opening end in a sealed mode. When installation of the warning body is loosened due to factors such as bumping, the spring reset piece which is originally in a compressed state resets and rebounds rapidly, the pressing plate abuts against and makes contact with the key end of the warning switch, and the warning switch is in a pressed starting state. Therefore, the warning lamp installed in the cab of the transport vehicle is controlled to be started at the first time, a driver is reminded of installation loosening of the warning main body in time through light display of the warning lamp, and the problem that in the dangerous goods transportation process, when the marker lamp installed outside the vehicle and used for warning is installed loosening, the warning main body can not be installed easily is solved. And the driver cannot know the problem in time.

The application provides a method and system for identifying dangerous goods container export customs declaration false reporting behavior, and relates to the technical field of dangerous goods transportation supervision. The method comprises the following steps: establishing a high-risk point information database and setting an electronic fence, and configuring multiple trigger rules; connecting with customs, traffic and terminal EIR data, and screening containers declared as ordinary goods as the supervision object; obtaining the track of the vehicle from emptying the container to returning the container to the weight, and using a multi-dimensional risk assessment model containing space, time, speed, historical risk items and risk credibility correction factors to determine whether the vehicle effectively enters the electronic fence; if it enters and is declared as ordinary goods, an alarm is generated and pushed to law enforcement personnel. The system comprises corresponding modules, and dynamically updates the point database and model parameters based on law enforcement feedback. The application significantly reduces false positives, and forms a self-feedback cycle of supervision-alarm-inspection-update.

This utility model discloses a rollover prevention warning device for hazardous chemical transport vehicles, relating to the field of rollover prevention technology. It includes: a fixed frame, a movable cylinder, a support rod, and a tilt sensor. The movable cylinder is slidably disposed within the fixed frame, and the support rod is movably disposed within the movable cylinder. The lower end of the support rod is rotatably connected to a roller via a shaft. A rear baffle is fixedly installed at one end of the fixed frame. An electric push rod is disposed within the fixed frame, with one end fixed to the rear baffle and the other end fixedly connected to a movable block. When the hazardous chemical transport vehicle rolls over, the tilt sensor immediately sends a signal to the controller. The controller then controls the warning lights to flash continuously to alert the driver and vehicles behind. Simultaneously, the controller controls the electric push rod to quickly activate, pushing the movable cylinder and support rod to the outside of the vehicle. When the hazardous chemical transport vehicle rolls over, the rollers contact the ground, thus forcibly stopping the rollover tendency.

The utility model provides a single section lithium battery emergency boost power supply circuit and window cleaning machine for window cleaning machine, single section lithium battery emergency boost power supply circuit includes battery port for storing electric energy or output direct current, power management circuit is connected with battery port for carrying out charge management and discharge control to battery, power input module is connected with power management circuit for providing electric energy for battery or power management circuit, boost circuit is connected with battery port for carrying out boost to direct current of battery output, boost output module is connected with boost circuit for output direct current output voltage after boost circuit processing, the utility model discloses through adopting single section lithium battery cooperation boost circuit realizes emergency power supply, and the battery adopts detachable design and is convenient for user maintenance replacement, meets dangerous goods transportation certification requirement simultaneously, has the advantages such as improving battery replaceability, simplifying transportation certification process and improving emergency power supply reliability.

The invention belongs to the technical field of dangerous goods transportation, and discloses a loading device of a dangerous goods logistics transportation carriage, which comprises a bottom plate fixed at the bottom of the carriage and a tray arranged above the bottom plate in a floating manner, and a spring damping device for providing elastic support and damping buffer is arranged between the bottom plate and the tray. Through mechanical linkage of the driving assembly and the self-limiting assembly, the self-adaptive lateral clamping effect is achieved through gravity and bumping energy, vertical displacement generated after the tray is pressed is converted into transverse thrust through the connecting rods, then the lateral pressure applying rods are driven to be folded inwards, the more bumpy the road surface is, the larger the downward pressure of goods is, and the better the clamping effect is achieved. The lateral clamping force generated by the device is stronger, so that a dynamic self-locking mechanism is formed, the problem that a traditional static fixing mode is prone to loosening in the transportation bumping process is effectively solved through the structure, and it is guaranteed that goods can still keep absolutely stable in the left-right direction under the severe road condition.

The utility model discloses a missile storage, transportation and launching box loading and unloading device which comprises a transfer trolley used for containing missile storage, transportation and launching boxes, a supporting frame facilitating loading of the transfer trolley and a winch assembly arranged on one side of the supporting frame and providing power for the transfer trolley. The transfer trolley comprises a transfer supporting frame and a plurality of universal wheels arranged at the bottom of the transfer supporting frame, and lifting bolts serving as steel wire rope fixing points are arranged at the bottom of the transfer supporting frame. The supporting frame is an inclined supporting frame or a supporting platform, the gradient of the inclined supporting frame is 3.2 degrees, the supporting platform is in a horizontal state, and the inclined supporting frame and the supporting platform are both provided with supporting idler wheels used for supporting a steel wire rope. Under the condition of an outfield test or no crane, the storage, transportation and distribution box can be safely and conveniently loaded on a 5-ton or 10-ton small van type dangerous goods transportation vehicle, so that the transportation cost is greatly reduced; the device is suitable for loading and unloading storage, transportation and distribution under different workshop working conditions; cost is low, processing period is short, assembling is simple, and operation is convenient.

The utility model relates to camera anti -disassembly technical field, and disclose a dangerous goods transport vehicle indoor monitoring camera device with anti -disassembly structure. This dangerous goods transport vehicle indoor monitoring camera device with anti -disassembly structure, including the coupling plate, the coupling seat, camera module and the columnar cylinder, the inside of coupling seat is equipped with the camera module extending to its below, the bottom of coupling plate is opened has the countersunk hole of ring array distribution and extends to its other side and with bolt adaptation, the bottom of coupling plate is embedded and has the internal thread cylinder of ring array distribution and extends to its other side, the bottom of coupling plate is opened has the alignment hole of left and right symmetry distribution and extends to its other side, this device has the advantage that the non -authorized personnel is difficult to disassemble through simple tool, has improved the anti -disassembly performance, effectively prevented malicious destruction, solved the problem that the existing dangerous goods transport vehicle indoor monitoring camera is easy to be disassembled.

The invention discloses a dangerous goods transportation vehicle fault prediction method and system based on a dynamic space-time fusion network, and belongs to the technical field of fault prediction. The method comprises the following steps: S1, collecting vehicle fault events to obtain a fault set; collecting a historical maintenance fault time sequence of each vehicle to obtain a fault multi-heat vector; s2, constructing a dynamic space-time fusion network, and training the dynamic space-time fusion network based on the fault multi-thermal vector to obtain an optimized dynamic space-time fusion network; the dynamic time-space fusion network comprises a global time feature vector learning module, a graph structure coding module and a cross-modal fusion and prediction module; and S3, predicting the fault of the vehicle in the next time period based on the optimized dynamic space-time fusion network to obtain a prediction result. According to the method, time dynamics and fault co-occurrence dependency are integrated, the method is used for dangerous goods transportation vehicle fault prediction, and the complex interdependence relation between faults is effectively captured.

The invention discloses a dangerous chemical logistics tracking method based on the Internet of Things, and the method comprises the steps: carrying out the smoothing of a movement track of a transport vehicle through employing a Kalman filtering algorithm according to a continuous spatial position sequence, and obtaining the smoothed track data; for the smoothed trajectory data, calculating real-time speed and direction parameters of the transport vehicle to obtain a dynamic movement parameter set; adjusting weighted average algorithm parameters fused by the multi-source sensor through the interference influence weight to obtain an optimized spatial position sequence; according to the optimized spatial position sequence, recalculating the moving track and the dynamic moving parameters of the transport vehicle to obtain updated track parameters; and through the updated track parameters, emergency response instructions of dangerous chemical transportation are generated by adopting a real-time data stream processing technology, and an emergency response instruction set is obtained.

This utility model discloses a transfer device for the production of corrosive agents, relating to the field of hazardous materials transportation technology. The utility model includes a transfer vehicle; a traveling assembly is fixedly installed at the bottom of the transfer vehicle, the traveling assembly including casters mounted on the side wall of the transfer vehicle's bottom; a side plate is rotatably connected to the left side wall of the transfer vehicle; auxiliary components are provided at both ends of the upper side wall of the transfer vehicle and at both ends of the upper side wall of the side plate; two opposing auxiliary components are connected by rollers; each auxiliary component includes an auxiliary plate fixed to the side plate and the upper side wall of the transfer vehicle; a transfer tank is placed on the roller; and fixing components are installed on the front and rear side walls of the transfer vehicle, each fixing component including a hydraulic rod mounted on the side wall of the transfer vehicle and an abutment plate fixed to the end of the hydraulic rod. This utility model facilitates the loading and unloading of the transfer tank through the side plate, auxiliary components, and rollers, while the fixing components ensure the stability of the transfer tank on the transfer vehicle.

This invention discloses an intelligent detection method for flammable and explosive vehicles in nighttime environments, belonging to the field of target detection technology. The method first acquires nighttime road traffic images and constructs a vehicle detection dataset, labeling vehicle targets in the images and performing data preprocessing. Then, a FasterNet feature extraction structure is introduced into the backbone network of the YOLOv12n target detection network to replace some convolutional feature extraction modules, thereby improving the network's feature extraction capability. Simultaneously, a Biformer attention mechanism is introduced between the output of the feature fusion network and the detection head to enhance the attention of multi-scale fused features. By training the improved model, the detection of flammable and explosive vehicles such as tanker trucks and hazardous materials transport vehicles in nighttime traffic scenes is achieved, improving the accuracy and stability of vehicle detection in nighttime environments.