673 results about "Transportation safety" patented technology

The invention discloses a cargo transportation real-time path planning method based on artificial intelligence, and relates to the technical field of artificial intelligence and intelligent traffic, and the method comprises the following steps: collecting real-time data from a traffic monitoring system, a vehicle-mounted sensor, a road event platform and a weather information system in a transportation process, forming an original data set containing multi-source information; time synchronization and space alignment are carried out on source data in an original data set, and a standardized data frame is constructed to ensure the consistency of different source information in a space-time dimension. According to the method, the accuracy, the real-time performance and the intelligence of path planning are effectively improved through multi-source data consistency identification, weighted fusion and a dynamic re-planning mechanism. The system can timely identify data conflicts, dynamically adjust paths and enhance transportation safety and efficiency, has a self-learning capability, continuously optimizes path strategies and adapts to complex traffic environments.

The invention relates to the field of cableway transportation safety control, in particular to a cableway lift carriage operation deflection attitude monitoring device and a control method, and the method comprises the steps: collecting the position, speed, attitude angle and local micro deflection disturbance information of a lift carriage in real time by constructing a multi-mode sensing network; the frequency of the sensor is dynamically adjusted by adopting an adaptive sampling mechanism, and space-time alignment and fusion of heterogeneous data are completed in combination with dynamic time warping and minimum mean square estimation; strengthening the key disturbance dimension based on a disturbance-driven attention mechanism, and predicting a future deflection angle sequence; a decoupling torque is generated through spatial deflection vector field modeling, regional coupling tensor analysis and a dynamic direction alignment matrix, and power consumption constraint and a dynamic environment parameter optimization control instruction are fused; and finally, driving the quadrilateral moment gyroscope to execute correction, and constructing a multi-dimensional evaluation index based on the attitude response residual error. According to the method, adaptive closed-loop adjustment of the control strategy is realized, and the robustness under wind speed disturbance and load variation is improved.

The invention discloses a bulk cargo supply chain data transmission method and system based on an intelligent transportation box, and relates to the technical field of logistics data transmission, and the method comprises the steps: collecting multi-modal sensing data in real time through a multi-source data collection interface of the intelligent transportation box; the intelligent transportation box edge calculation module performs cleaning, compression aggregation and key event intelligent identification on the data; a transmission strategy is adaptively selected according to the data type and the network state, a key event alarm message is immediately sent, data are locally cached when the network is interrupted, and subsequent transmission is recovered; transmitting the data to a cloud by adopting a secure communication protocol; the cloud receives management data and provides remote configuration, alarm notification and data visualization functions, the system comprises an intelligent transportation box terminal unit and a cloud service platform unit, data transmission reliability and efficiency are improved, bandwidth and cloud cost are reduced, cargo transportation safety is guaranteed, and the system is suitable for bulk cargo cross-regional transportation scenes.

The invention relates to the technical field of path planning, and discloses a mountain wind power equipment transportation path planning and hoisting control method and system. The method comprises the following steps: scanning a mountain road through a laser ranging array to obtain a road cross section database, and modeling to obtain blade scanning envelope data; performing dynamic path planning by adopting a terrain adaptability predictive control algorithm, and obtaining a safe transportation path according to stress constraint verification; the sensor array monitors the blade state in real time and corrects the track; a temperature sensor collects tower drum temperature data, and the size change is predicted through a thermal deformation compensation mechanism; and the positioning system obtains hoisting reference coordinates and controls the hoisting posture in combination with the compensation parameters. The technical problems that dynamic sweeping modeling, stress constraint verification and real-time track correction are lacked in wind power equipment transportation path planning in the mountain environment, and thermal deformation compensation and multi-system collaborative optimization are lacked in hoisting control are solved. And the transportation safety and the hoisting control precision of the mountain wind power equipment are improved.

The invention relates to the technical field of hydrogen transportation monitoring, in particular to a real-time monitoring and positioning method and system for hydrogen leakage of a hydrogen transportation trailer, and the method comprises the steps: automatically generating a signal collection request according to a preset real-time monitoring period, and synchronously obtaining a plurality of original sensing signals in real time through a vehicle-mounted sensor array, the method comprises the following steps: respectively preprocessing a plurality of original sensing signals to obtain a plurality of target quantized data, carrying out feature extraction on the plurality of target quantized data to obtain a feature variable set, carrying out fusion decision on the feature variable set by adopting a preset target decision model to generate a fusion decision result, and performing confidence evaluation on the fusion decision result through a probability threshold comparator, generating an early warning signal when a comprehensive score exceeds a dynamic early warning threshold, sending the early warning signal and target sensing data to a remote monitoring platform, and displaying an early warning trigger position and state of the hydrogen transport trailer on the remote monitoring platform. And the hydrogen trailer transportation safety and the emergency treatment efficiency are improved.

The invention discloses a marine assembled box shipping management method based on an Internet of Things platform, and belongs to the technical field of logistics management. The method comprises the steps of obtaining a cargo list, extracting cargo attributes, analyzing chemical attributes and physical characteristics, and generating a conflict risk assessment report; constructing a time limit prediction model based on the multi-link time data, and optimizing the loading priority; a loading scheme is optimized through a space distribution and dynamic adjustment algorithm, so that the compatibility and the transportation timeliness of goods are ensured; and the shipping state is monitored in real time, emergency adjustment is triggered according to the delay risk, and execution of a transportation plan is ensured. The loading efficiency can be effectively improved, the transportation safety is guaranteed, the transportation risk and delay probability are reduced, and the logistics management level is comprehensively improved. The method is suitable for the fields of intelligent logistics, shipping assembly box transportation and the like, and efficient and accurate decision support is provided for shipping management.

The invention discloses a multi-type solid material loading and transporting optimization method and system based on closed-loop adaptive control, and relates to the technical field of automatic closed-loop control or adjusting systems. The method comprises the following steps: acquiring characteristic information of a material; according to the material characteristics, the vehicle load capacity and the volume limit value; the safe loading capacity of the materials is obtained; the calculation method of the safe loading capacity comprises the following steps: if the volume of the material under the vehicle loading capacity is smaller than or equal to the vehicle volume capacity, taking the vehicle loading capacity as the safe loading capacity; and if the volume of the material is larger than the vehicle volume capacity under the vehicle loading capacity, the corresponding material weight at the vehicle volume boundary is reversely deduced to serve as the safe loading capacity, so that the stable support can be provided for the optimal loading scheme under the multi-material and multi-vehicle-type scene, and the system use cost is reduced while the transportation safety and efficiency are greatly improved.

The invention discloses a steel transportation management system and method based on dynamic dual weight control, and belongs to the technical field of logistics transportation and intelligent manufacturing. The steel transportation management method based on dynamic dual weight control comprises the steps of splitting an order into a plurality of sub-waybills when the total weight of the order exceeds a threshold value, and allocating a theoretical weight to each sub-waybill; after vehicle loading is completed, two levels of weight control are executed in sequence: in the first level, weight deviation judgment is performed on the sub-waybills based on real-time weighing data, and overload of the single vehicle is prevented; and the second level updates the global accumulative shipping weight, compares the global accumulative shipping weight with the total theoretical weight of the order, and judges whether the total shipping amount precision requirement is met or not. According to the invention, through a dynamic and dual closed-loop weight control mechanism, real-time monitoring and intelligent decision-making of the load of the transport vehicle are realized, the problem of large deviation between single vehicle overload and the overall delivery amount in the steel transport process is effectively solved, and the transport safety, accuracy and operation efficiency are improved.

The invention relates to the field of hydrogen energy conveying safety, in particular to a method, device and equipment for estimating the explosion damage range of a hydrogen conveying pipeline. The method for estimating the explosion damage range of the hydrogen conveying pipeline comprises the following steps: acquiring physical parameters and environmental conditions of the hydrogen conveying pipeline; based on the physical parameters of the gas conveying pipeline, the isentropic expansion theory is adopted to calculate the explosion energy of the hydrogen conveying pipeline in unit length; calculating initial peak overpressure by adopting an exponential decay model on the basis of the explosion energy of the hydrogen conveying pipeline per unit length; based on environmental conditions, correcting the initial peak overpressure to obtain corrected peak overpressure; and determining a damage range based on the corrected peak overpressure. According to the method, the shock wave overpressure generated by explosion of the hydrogen conveying pipeline can be rapidly calculated, efficient, accurate and real-time damage range estimation is achieved in combination with environmental factor correction, and personnel injury and property loss caused by potential accidents are reduced.

The invention provides a loading safety monitoring method and system for a rear-loading vehicle and the vehicle. The method comprises the following steps that the arc height variable quantity of a plate spring of the vehicle in the current loading state is collected; based on the arc height variable quantity, a vehicle total weight estimated value is obtained through calculation; based on the axle load estimation values of the front axle and the rear axle and the axle distance of the vehicle, estimating the current gravity center height of the vehicle, and dynamically compensating the gravity center height according to the dynamic state parameters; and calculating a stability risk coefficient of the vehicle according to the total weight estimated value of the vehicle and the compensated gravity center height so as to carry out early warning. Displacement sensors are arranged on a front plate spring and a rear plate spring of a vehicle to collect arc height variation in real time, an axle load and a vehicle total weight estimated value are calculated based on a pre-calibrated plate spring rigidity coefficient, the gravity center height of the vehicle is estimated to evaluate the stability of the vehicle, and meanwhile the gravity center height is dynamically compensated based on dynamic parameters in the driving process. The evaluation precision under complex working conditions is improved, and the transportation safety is guaranteed.

The utility model provides a double-mechanical-seal pipeline centrifugal pump, which belongs to the technical field of centrifugal pumps and comprises a pump body, a pump cover, a pump shaft, an impeller, a motor, a siphon tank, a siphon and a liquid return pipe. An oil cavity is formed in the pump cover, a first through hole and a second through hole are oppositely formed in the side wall of the oil cavity, and the middle of the pump shaft penetrates through the first through hole, the oil cavity and the second through hole. A mechanical seal is arranged between the pump shaft and the first through hole, and a sealing assembly is arranged between the pump shaft and the second through hole. The oil cavity and the siphon tank are filled with lubricating oil, the siphon tank is communicated with the oil cavity through a siphon, and the siphon tank is communicated with the oil cavity through a liquid return pipe. After absorbing operation heat, the lubricating oil automatically moves upwards, enters the siphon tank through the siphon tank and then returns to the oil cavity through the liquid return pipe; if the liquid leaks into the oil cavity, the leaked liquid can enter the siphon tank along with the lubricating oil. Whether the liquid leaks to the oil cavity or not can be fed back by observing the liquid in the siphon tank, intervention is conducted in time, and the transportation safety of dangerous liquid such as flammable media is improved.

The invention belongs to the technical field of water traffic transportation safety and navigation mark navigation aiding, and mainly relates to a navigation mark anti-collision early warning method based on multi-sensor fusion, and the method comprises the steps: constructing a multi-sensor fusion architecture integrating an AIS terminal, a laser radar and an AI camera, and achieving the omnibearing monitoring and precise recognition of a ship in a navigation channel; a grading response mechanism is adopted, corresponding functions are dynamically started according to the real-time distance between the ship and the navigation mark, and targeted response from early warning to emergency warning is achieved; a legal evidence chain packaging mechanism is introduced, a unique ID is generated for each early warning event, formatted evidence is stored in an associated mode, and integrity and traceability of data are ensured; through a dynamic energy supply strategy, an equipment operation mode is intelligently adjusted according to a storage battery voltage threshold value, and continuous and stable work of the system under the conditions of cloudy and rainy days, night and the like is guaranteed; according to the invention, the accuracy, timeliness and reliability of navigation mark collision early warning information are effectively improved.

The invention belongs to the technical field of Internet of Things, and particularly relates to an intelligent transportation safety monitoring system and method based on quantum encryption and edge computing, the system comprises a transportation equipment end and a monitoring center, the transportation equipment end is installed on a transportation tool, and the transportation equipment end comprises a quantum encryption unit, an edge computing node and multiple sensors. The multiple sensors acquire multi-source sensor data, the edge computing device is used for performing format conversion, multi-source data fusion and analysis decision on the multi-source sensor data, and the edge computing device performs data interaction with the monitoring center after performing quantum encryption on data needing to be transmitted through the quantum encryption unit. The monitoring center comprises a quantum key management system, a data storage server and a data analysis server, and the quantum key management system comprises a quantum key generator, a quantum encryption unit and a quantum decryption unit. The method better adapts to the resource limitation of the edge computing device, and meets the requirement of intelligent transportation for real-time performance.

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 relates to the technical field of equipment management, and discloses a cold chain transportation safety management method and device, equipment and a storage medium, and the method comprises the steps: carrying out the equipment initialization of detection equipment based on an obtained detection task, so as to obtain initial log data; collecting background radiation data, and constructing a baseline model according to the background radiation data; performing multi-source data acquisition based on the baseline model, and fusing the acquired data to obtain real-time monitoring data; performing anomaly identification on the real-time monitoring data to obtain an anomaly identification result; executing a corresponding early warning treatment measure based on the abnormal recognition result, and generating an early warning event record according to the early warning treatment measure; updating the initial log data based on the early warning event record to generate a transportation state report; according to the invention, systematic monitoring and early warning are carried out on the whole process of cold-chain transportation, so that efficient management and control of the whole process of cold-chain transportation are realized, and the safety and reliability of cold-chain transportation are remarkably improved.

The invention relates to the field of emergency decision-making, and particularly discloses a multi-department collaborative decision-making method and system based on a large model and water transportation safety risk event grading, which is used for constructing ship navigation comprehensive situation characteristics by carrying out multi-dimensional parameter joint perception on ship AIS data and ship navigation environment data. Then, all historical risk event records related to the current ship navigation comprehensive situation in a professional knowledge base in the water transportation safety field are inquired, deep context modeling is carried out on the historical risk event records to capture safety risk modes and coping strategies possibly existing in current ship navigation, and then the safety risk modes and coping strategies are obtained; semantic reasoning is carried out on the historical risk event context reference features and the current ship navigation comprehensive situation features by means of a large model, so that risk assessment and collaborative decision suggestions for the current ship are generated. The method not only can adapt to real-time navigation situation evolution, but also has credible support of historical disposal experience, and provides effective guarantee for timeliness and collaboration of cross-department emergency response.

The invention relates to the technical field of railway transportation safety, in particular to a multi-source data fusion train area sensing and active protection system and method.The method comprises the steps that a data acquisition module obtains obstacle sensing data in front of a train and receives state and position data reported by a personnel terminal; the space-time reference and electronic fence management module provides unified positioning and map services and generates an electronic fence according to a plan; the multi-source situation fusion module carries out fusion processing on the information to generate a global dynamic situation; the real-time risk quantification module calculates a collision time TTC based on the situation, and outputs an evaluation result according to a dynamic risk model; the intelligent early warning decision-making module generates a graded early warning instruction containing specific action guidance; and finally, the early warning cooperative execution module synchronously distributes the instruction to the train and personnel terminal. According to the invention, the conversion from passive monitoring to active early warning is realized, and the safety protection capability of driving and operation in a complex environment is improved.

The invention discloses a digital dangerous cargo transportation supervision system and method, belongs to the technical field of vehicle supervision, and aims to solve the problems that in digital dangerous cargo transportation, loading and unloading links are insufficient in authenticity verification, abnormal fluctuation in the transportation process is difficult to recognize in real time, and abnormal handling response is delayed. After a dangerous cargo transportation electronic waybill is obtained, loading and unloading scene verification is completed by delimiting a compliance area, shooting an initial scene image and dynamically constructing an image flow sequence, and a carrying password is generated for cargo encryption storage and unloading unlocking; a passing route is segmented, a vehicle operation base line is established based on historical data, data delay and loss are distinguished by monitoring the conformity and transmission interval of transportation data and the base line, abnormal fluctuation is recognized, and early warning is triggered; and during early warning, a target verification position is selected based on positioning, and the vehicle is guided to the verification area to complete abnormity verification. And cheating behaviors in loading and unloading links are avoided, transportation risks are identified, abnormities are quickly handled, and dangerous cargo transportation safety and supervision efficiency are effectively improved.

The invention discloses a crude oil production, supply, storage and transportation system monitoring and port adaptability evaluation method and system, and belongs to the technical field of energy and logistics. The method comprises the steps of collecting multi-source data and performing standardization processing; constructing a three-level distributed storage framework to perform integration storage of crude oil production, supply, storage and transportation full-chain data; in the aspect of transportation safety, a berth utilization rate and reasonable trafficability dynamic measurement and calculation model containing ship type proportions, dynamic time parameters and random fluctuation factors is constructed for different types of wharfs, and adaptability grading evaluation is carried out; in the aspect of reserve safety, the reasonable reserve scale of the port is calculated by adopting a multi-factor linear regression model, and a transport connection convenience correction coefficient and an industrial cluster radiation capability parameter are introduced to obtain a reserve layout rationality index; monitoring and evaluation results are displayed through a visual system architecture, and dynamic tracking and decision support of a nationwide crude oil production, supply, storage and transportation system are achieved. The collaborative management level of the crude oil production, supply, storage and transportation system can be effectively improved.

The invention provides a road dangerous chemical transportation system risk coupling assessment method based on FRAM-ISM-NK, and belongs to the technical field of road transportation safety. Comprising the following steps: identifying functional composition of a dangerous chemical transportation system based on a functional resonance analysis method (FRAM), determining risk functional elements of three core stages of transportation preparation, accident occurrence and emergency rescue, and analyzing variability; constructing a hierarchical structure relationship of risk function elements of each stage based on an interpretation structure model (ISM), and determining an action hierarchical relationship and weight between the elements; quantifying a coupling relationship between risk function elements in different stages by combining an NK model, and revealing a risk coupling mechanism; and based on the analysis result, establishing a risk transfer quantitative model, and identifying key risk function elements and risk control paths in each stage. The system depicts the multi-stage risk factor coupling relation of road hazardous chemical substance transportation, quantitatively identifies the risk transmission path and the key control link, and provides effective technical support for improving the safety of the transportation system.

The invention belongs to the technical field of food transportation management, and particularly relates to a food end transportation scheduling management system based on big data, which comprises a data fusion and convergence module, a dynamic traffic sensing module, an intelligent order analysis module, a vehicle state evaluation module, a scheduling strategy generation module and a transportation scheduling management end. According to the invention, traffic perception analysis information, order analysis information and vehicle state evaluation information obtained through analysis are sent to a scheduling strategy generation module through a dynamic traffic perception module, an intelligent order analysis module and a vehicle state evaluation module; and the scheduling strategy generation module performs comprehensive analysis based on various types of information to generate an optimal food transportation scheduling strategy, so that optimal configuration of transportation resources is realized, intelligent and refined management of food terminal transportation scheduling is facilitated, the transportation efficiency is comprehensively improved, the transportation cost is reduced, and the food transportation safety is guaranteed.

The invention discloses a multimodal transport cargo transportation state monitoring system based on a standardized intelligent tray group. The system comprises a modular tray group composed of a main control tray and at least one functional tray; the main control tray is integrated with an edge calculator, an RFID reader-writer, a temperature and humidity sensor and a power supply module; the functional tray comprises a strain sensor and an acceleration sensor; the tray groups are rigidly connected through electromagnetic lock catches, and a voltage sensor is arranged to monitor the connection state; the tray group transmits data through a mixed communication channel; LoRa wireless communication is adopted by default, and magnetic attraction wired connection is switched when the packet loss rate is greater than 1%; after being preprocessed by the edge calculator, the data are encrypted by the Beidou system and uploaded to the background server; the background server executes overload and unbalanced load analysis, vibration grade evaluation, environmental risk early warning and lock catch state monitoring; and triggering a user side to give an alarm when an exception is detected. The safety monitoring problem of goods transportation is effectively solved, the transportation safety is improved, and the accident risk is reduced.

The invention discloses a logistics supply chain monitoring method, device and equipment and a medium, and relates to the technical field of logistics and supply chain informatization monitoring, and the method comprises the steps: S1, obtaining real-time data from a transport vehicle and goods through a sensor network, obtaining an initial abnormal signal data set, including a position coordinate temperature value and an aging index, carrying out preliminary screening on humidity fluctuation in the transportation scene to determine a humidity-related abnormal subset; s2, grouping data points according to the initial abnormal signal data set by adopting a K-means clustering algorithm to judge an abnormal type, and extracting sensitive parameters of a cargo type in a humidity related abnormal subset to determine a temperature and humidity combined abnormal type; according to the logistics supply chain monitoring method and device, the equipment and the medium, the transportation abnormity response efficiency and the path optimization capability are remarkably improved, and the cargo transportation safety and timeliness are guaranteed.

The invention relates to the technical field of natural gas transportation safety, in particular to a hydrogen embrittlement risk online monitoring system and method for a hydrogen-doped natural gas pipeline based on multi-parameter fusion, and the system comprises a sentry sensing unit which adopts a metal short pipe which is the same as a to-be-monitored hydrogen-doped natural gas main pipeline in property, material, process, wall thickness and service history, an internal circulating medium is kept consistent with the main pipeline; the risk sensor is provided with a multi-parameter sensor to obtain risk sensing parameters including hydrogen permeation current, pipe wall micro-strain and temperature signal parameters; the signal processing unit is connected with the sentry sensing unit, receives the risk sensing parameters and analyzes and generates hydrogen embrittlement risk indexes through a risk analysis model; and the risk warning unit is connected with the signal processing unit, and triggers a danger prompt signal when the hydrogen embrittlement risk index is greater than a preset safety index. The method has the effect of meeting the danger monitoring effectiveness of safe operation of the hydrogen-doped natural gas pipeline.

The invention relates to the technical field of transportation safety monitoring, in particular to a tank car liquid level on-line detection method which comprises the steps that a medium-wave infrared image and a long-wave infrared image of a tank car are collected, and the environment temperature is synchronously obtained; fusing the medium-wave infrared image and the long-wave infrared image to generate a fused image; liquid level boundary candidate areas are extracted, and effective liquid level boundaries are determined through geometric constraint and temperature gradient verification; the effective liquid temperature is output after environment temperature verification; performing temperature compensation based on the effective liquid temperature and the expansion coefficient, and generating a dynamic threshold by combining vehicle speed vibration compensation; the actual liquid level height is converted according to the position of the effective liquid level boundary and the parameters of the tank body and compared with a dynamic threshold value to trigger grading alarm or emergency locking operation. The low-temperature liquid level line contrast ratio and the rain and fog day recognition rate are enhanced, the over-loading risk caused by thermal expansion is avoided, and the system robustness and the alarm accuracy are improved.

The application discloses a kind of digital dangerous goods transport supervision system and method, belong to vehicle supervision technical field, to solve the authenticity of digital dangerous goods transport in loading and unloading link is insufficient, transport process abnormal fluctuation is difficult real-time identification and abnormal disposal response lag problem.After obtaining dangerous goods transport electronic transport note, by demarcating compliance area, shooting initial scene image, dynamic construction image flow sequence is completed loading and unloading scene verification, generates carrying password for goods encryption storage and unloading unlocking;To the section of route, establish vehicle operation baseline based on historical data, by monitoring the compliance of transport data and baseline and transmission interval, distinguish data delay and loss and identify abnormal fluctuation, trigger early warning;In early warning, based on positioning selection target check position, guide vehicle to check area to complete abnormal check.Eliminate the cheating behavior of loading and unloading link, identify transport risk and dispose abnormality quickly, effectively improve dangerous goods transport safety and supervision efficiency.

According to the pipeline transportation carbon dioxide leakage detection and capture system provided by the invention, multiple sensors are deployed at key nodes of a pipeline to monitor environmental data in real time, and when leakage is detected according to the monitoring data, the unmanned aerial vehicle is immediately dispatched to carry out field verification; a leakage point is identified based on the infrared image data of the unmanned aerial vehicle, and the unmanned aerial vehicle is controlled to capture carbon dioxide at the leakage point; and after it is confirmed that leakage of the leakage point is effectively controlled, a maintenance processing center is notified to arrange maintenance of the leakage point and recovery of cooled carbon dioxide. According to the method, the response speed and accuracy of leakage detection can be improved, the situations of manual intervention and false alarm are reduced, and especially in a complex environment and a large-scale pipeline network, leakage points can be quickly and accurately found and processed. In addition, the system also has high flexibility and expansibility, can be modified and upgraded according to actual requirements, adapts to various operation environments and detection scenes, and improves the pipeline transportation safety.

The invention discloses a logistics cart with a lifting structure, and relates to the technical field of logistics carts. Comprising a movable bottom frame, two telescopic frames, a hydraulic driving mechanism, a mounting sliding frame, a loading mechanism and a rotating plate, a connecting plate is fixed to the upper end of the rotating plate, a shell is movably connected to the bottom of the left side of the connecting plate through a connecting block, a mounting plate is fixed to the bottom of the left side of the mounting sliding frame, and a leveling assembly is arranged between the connecting block and the mounting plate; a baffle assembly is arranged between the telescopic frame and the connecting plate. According to the logistics trolley with the lifting structure, through the leveling assembly, when the ground is uneven, the inclination of the connecting plate can be automatically detected, the connecting plate is driven to rotate reversely for compensation, the loading mechanism is kept horizontal all the time, goods are effectively prevented from sliding off and turning over, the baffle assembly is in linkage with the telescopic frame, the position of a protruding block is adjusted through a screw, and the logistics trolley is convenient to use. Automatic protection during lifting of narrow goods and flexible switching of barrier-free loading of wide goods are achieved, and transportation safety and convenience of goods of different sizes are both considered.

The invention provides a ship monitoring and early warning system and method, and belongs to the field of ship traffic transportation safety. A ship monitoring system collects ship navigation information and uploads the ship navigation information to a vehicle-road cooperative transportation management platform; the vehicle-road cooperative operation and management platform is used for judging whether the ship approaches a preset risk area fence or not according to the navigation information, if yes, monitoring the navigation attitude of the ship based on the risk monitoring equipment to obtain a navigation attitude monitoring result, analyzing the driving behavior of the ship according to the navigation information to obtain a driving behavior analysis result, and sending the driving behavior analysis result to the vehicle-road cooperative operation and management platform; and if the navigation attitude monitoring result and / or the driving behavior analysis result represent that the ship has the traffic risk, navigation guidance is performed on the ship and an early warning is sent to a vehicle in the risk area fence. The navigation attitude and the driving behavior of the ship are respectively monitored based on the risk monitoring equipment and the ship monitoring system, the ship does not need to deploy too many complex equipment, the influence of visibility is avoided, and enough accident early warning processing buffer time is provided.

The invention relates to the technical field of hydrogen energy storage and transportation safety, and discloses a hydrogen leakage high-precision detection system based on multistage sensing fusion. Comprising a multi-stage sensor data acquisition module, a data preprocessing module, a data analysis module, a hydrogen leakage risk assessment module, a self-adaptive adjustment module, an emergency risk processing module, an execution control module and a closed-loop monitoring feedback module, the data pre-processing module pre-processes the collected data; the data analysis module performs three-level risk value calculation based on the pre-processed data; the hydrogen leakage risk assessment module performs grading rating; the self-adaptive adjustment module generates a self-adaptive control instruction; the execution control module receives and executes the control instruction, the closed-loop monitoring feedback module carries out real-time monitoring and effect evaluation on an instruction execution result of the execution control module, and if the instruction execution result does not reach the standard, a secondary disposal process is triggered.