1145 results about "Transportation safety" patented technology

The invention discloses a hanging basket transportation safety management method and system, and relates to the field of damage detection. Collecting weight data of the hanging basket; establishing a steel wire rope health state prediction model by using a multi-layer perceptron (MLP) algorithm, predicting the damage degree of the steel wire rope, and obtaining a health state prediction result of the steel wire rope; according to the health state prediction result of the steel wire rope, a bidirectional long-short-term memory neural network BiLSTM is used for prediction, and a damage trend prediction result of the steel wire rope in a future period of time is obtained; comparing the collected weight data of the hanging basket with a preset safety weight range to obtain a judgment result of whether the weight of the hanging basket exceeds the limit or not; according to the health state prediction result of the steel wire rope, the damage trend prediction result and the judgment result of whether the weight of the hanging basket exceeds the limit or not, a decision tree algorithm is adopted to generate a hanging basket operation control scheme; aiming at low safety of a hanging basket in the prior art, the safety of the hanging basket is improved.

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 present invention discloses a vehicle transport safety monitoring system for hazardous chemicals based on all-element management. A driver holography management unit performs multi-factor identity verification and multi-dimension driver status monitoring on a driver, and implements linkage with vehicle control according to an identity verification and / or status monitoring result. A vehicle safety monitoring unit automatically monitors a vehicle safety status, and forms warning or alarm information according to a monitoring result. An in-vehicle hazardous chemical safety monitoring unit comprehensively monitors physical and chemical safety parameters of in-vehicle hazardous chemicals and in-vehicle hazardous chemical anti-theft and robbery monitoring information during transportation, and forms warning or alarm information according to a monitoring result. This system can implement comprehensive real-time monitoring and risk warning for persons, vehicles, and materials for the in-vehicle hazardous chemicals during transportation, so as to ensure transport safety of the hazardous chemicals.

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 belongs to the technical field of railway transportation safety, provides a railway contact net carrier cable tension online monitoring and early warning method and system, and aims at solving the technical problems that in the prior art, capturing is not comprehensive, and different environments are difficult to adapt. Acquiring a tension data stream by using a context awareness technique; analyzing the tension data flow by using a hidden Markov model to obtain a preliminary analysis result, processing by using a neural network, generating an abnormal mode recognition result, performing risk assessment by using a Bayesian network algorithm and a digital twin technology to obtain a preliminary fault estimation probability, and predicting a target fault estimation probability in combination with multi-context sensing data; a self-adaptive control algorithm is used for generating an adjusted alarm threshold value, when the monitored tension value exceeds the adjusted alarm threshold value, early warning information is generated in time, and processing is carried out through the block chain technology to obtain target early warning information; according to the technical scheme provided by the invention, the monitoring and early warning capabilities of the railway overhead line system carrier cable are comprehensively 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 discloses a pressure pipeline-oriented crude oil storage and transportation safety state dynamic monitoring method, and belongs to the field of pressure pipeline engineering safety monitoring, and the method comprises the steps: obtaining multi-modal sensing data collected by a plurality of sensor nodes; performing signal space-time fusion processing on the multi-modal sensing data to generate environment interference compensation parameters; constructing a dynamic compensation model based on the environmental interference compensation parameters, and outputting a pipeline body damage feature vector and a medium state feature vector; carrying out migration enhancement analysis on the pipeline body damage feature vector and the medium state feature vector to generate a migration enhancement feature vector; and generating a corresponding safety early warning signal according to a comparison result of the migration enhancement feature vector and a preset dynamic threshold parameter. According to the invention, a multi-sensor space-time fusion and migration enhancement analysis technology is adopted, real damage signals can be accurately identified, and dynamic threshold early warning can be realized.

The invention provides an intelligent assignment scheduling method and system for transportation, and relates to the field of logistics management, and the method comprises the steps: obtaining order information and transport capacity resource information, the order information comprises cargo attributes, the own transport capacity resource information comprises vehicle shipping space parameters, and the external transport capacity resource information comprises simplified load parameters; and processing the internal image of the vehicle cabin by using a wavelet transform method so as to determine three-dimensional parameters of the abnormal area and generate accurate vehicle cabin space parameters. Based on the order information and the accurate vehicle shipping space parameters, vehicle and route allocation is carried out through a multi-target scheduling algorithm, and candidate scheduling schemes are generated; and executing three-dimensional loading feasibility verification by utilizing a multi-grid construction module so as to predict the deformation condition of the goods and the vehicle shipping space and mark the ghost volume. And finally outputting an optimal scheduling scheme in response to verification passing. According to the method, the refinement level of logistics transportation management is effectively improved, space conflicts and overload risks are avoided, and the transport capacity resource utilization efficiency and the transportation safety are improved.

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 chemical tanker transportation safety risk monitoring and early warning system and method based on a knowledge graph, and mainly solves the problems that in the prior art, monitoring parameters are single, safety data lacks an effective mining means, and an accident case library cannot be directly used for accident early warning. The method comprises the following modules: a hazardous chemical substance tank car transportation data acquisition module, a hazardous chemical substance tank car transportation law and regulation, standard specification and historical accident data acquisition module, a data preprocessing module, a knowledge graph module, a hazardous chemical substance tank car transportation safety risk situation analysis module and a dynamic updating and feedback module. A hazardous chemical substance tank car transportation risk situation visualization module; according to the method, safety risk analysis and accident cause mining of dangerous chemical tank car transportation can be realized, the intelligence and accuracy of dangerous chemical tank car transportation safety risk management and control can be obviously enhanced, the possibility of accidents is reduced, and the safety and stability of overall production are improved.

The invention relates to the technical field of cold-chain transportation, in particular to a cold-chain transportation safety remote supervision system, which not only can evaluate the vibration acceleration of goods in the transportation process in real time, but also can identify abnormities in advance under the condition of sudden vibration by using a sequential probability ratio method, thereby improving the safety of the goods. Therefore, goods damage caused by sudden turning, collision and the like of the vehicle is avoided. In addition, by combining historical data, the system can accurately set normal characteristic parameters of vibration and compare real-time data, and the sensitivity to abnormal vibration is further enhanced. According to the monitoring mode based on the sequential probability ratio test method, the defects of a traditional fixed threshold value are avoided, and whether vibration is abnormal or not can be judged more accurately. In the aspect of environment monitoring, compared with traditional static threshold judgment, a prediction method based on a Hort linear trend method can reflect environment changes more dynamically, environment adjustment measures are started in advance, and goods damage caused by too large fluctuation of temperature and humidity is avoided.

The invention discloses an intelligent anti-theft and tracking method and system for cargo transportation, and the method comprises the steps: dynamically adjusting the collection frequency of a sensor through introducing a risk weight coefficient, combining the real-time position information of a cargo and an environment state vector, thereby accurately evaluating the risk level of an area where the cargo is located, and carrying out the intelligent anti-theft and tracking of the cargo on the basis. According to the method, a multi-level dynamic region chain is constructed, priority processing and redundant storage are carried out on key data in a high-risk region, and meanwhile, the consistency and integrity of data in the cross-region transportation process are ensured through a global chain synchronization mechanism; besides, the built cross-region cargo anomaly prediction model realizes real-time monitoring and anomaly identification of the cargo state through a multi-region data fusion rule; the method has the remarkable advantages in the aspects of improving the cargo transportation safety, achieving accurate tracking and enhancing the reliability and safety of data processing, and an innovative and practical solution is provided for logistics management at home and abroad.

The invention relates to the technical field of intelligent logistics and unmanned shipping, in particular to an unmanned shipping system based on intelligent weighing, which comprises a multi-modal data acquisition module, a distributed weighing and dynamic optimization module, a loading execution module, a detection and verification module and an electronic shipping order generation module. The system calculates the loading sequence and path of goods through a dynamic loading optimization model, and monitors the gravity center change and load distribution of the vehicle by using an inertial sensor and a piezoelectric sensor to realize real-time adjustment and optimization; through the combination of an electronic shipping order and a digital twin entity, the system supports whole-process state tracking and abnormal early warning, and the transportation safety and the management efficiency are ensured; according to the invention, the intelligence and efficiency of logistics operation are obviously improved, and comprehensive technical support is provided for modern logistics and factory dispatching.

The invention discloses a road transportation government affair safety supervision and management method, and relates to the technical field of road transportation safety supervision data processing. The vehicle and road safety supervision and management method comprises the following steps: collecting passing driving dynamic information from any traffic observation device; the vehicle behavior monitoring device and the road surface state monitoring device are integrated, the vehicle driving behavior data and the road safety condition data are collected in real time, and the monitoring frequency is dynamically adjusted according to the space interval, the abnormal information and the historical data, so that the utilization efficiency of monitoring resources is improved, and the monitoring cost is reduced. The system collects historical data and real-time abnormal data of vehicle driving behaviors and road safety conditions, then a primary space and a secondary space are calculated through a calculation and analysis engine, corresponding correction coefficients are determined according to intervals and historical safety condition information, then the observation frequency of the monitoring device is adjusted, and the monitoring accuracy is improved. And resource allocation is optimized while the detection coverage rate of the system is ensured.

The invention relates to the technical field of railway transportation safety monitoring, and discloses a railway operation environment intelligent monitoring and risk assessment system, which comprises a railway environment multi-source data acquisition module, a track potential safety hazard detection module and a risk assessment and processing unit, and is also provided with a data fusion and preprocessing module. The acquisition module acquires various types of environmental data in real time, the detection module accurately identifies hidden danger track sections, and the risk assessment and processing unit analyzes hidden danger influences, assesses risk levels and formulates strategies. And the data fusion and preprocessing module improves the data quality. The beneficial effects are obvious, and hidden dangers can be comprehensively monitored in real time and accurately positioned; risks are scientifically evaluated, and coping strategies are reasonably formulated; data processing is optimized, and a reliable decision basis is provided; the operation and maintenance cost is reduced and the operation efficiency is improved; the device adapts to complex environments, guarantees safe development of railways, and meets safe operation requirements of railways.

The invention provides a distributed energy pipeline natural gas transportation safety management method and an Internet of Things system, and the method comprises the steps: obtaining a safety management region which is provided with a spot check site; based on a preset period, judging whether the monitoring sequence of the spot check site in a preset historical period meets a first preset condition or not; in response to the situation that the first preset condition is not met, maintaining a first monitoring instruction of the spot check site; in response to meeting the first preset condition, the first monitoring instruction is adjusted based on the monitoring sequence and an inspection sequence in a preset historical time period, and a second monitoring instruction obtained after adjustment is sent to the monitoring sensing control platform; based on the monitoring sequence, the inspection sequence and the adjacent matrix of the gas pipeline, determining the abnormal probability of the spot check station in a preset future time period; and generating a maintenance instruction based on the abnormal probability, and sending the maintenance instruction to a maintenance sensing control platform to deploy maintenance personnel. The pipeline monitoring efficiency can be improved, timely pipeline maintenance is facilitated, and safe operation of the pipeline is guaranteed.

The invention discloses a logistics transportation platform monitoring system and method based on big data, and relates to the technical field of logistics monitoring. Based on historical road conditions, traffic flow, accident distribution and high-risk areas, combined with physicochemical properties of dangerous goods and real-time weather conditions, comprehensive risk values and adaptive values of paths are calculated; the route safety is guaranteed, and meanwhile, the transportation environment is adapted; meanwhile, based on the GPS signal intensity, the interruption area is marked, and a standby path is planned, so that the path continuity is improved; in the transportation process, a vehicle sensing module collects position information, environmental parameters and cargo state data in real time, integrates a GPS, inertial navigation and a historical track prediction model, dynamically corrects the position of a vehicle, verifies the accuracy of the position in combination with road signs, and enhances the monitoring precision; in addition, based on multi-source data, abnormal conditions are judged in real time, grading processing is carried out according to the severity of anomalies, and transportation safety is effectively guaranteed.

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 utility model belongs to the technical field of turnover boxes, and particularly relates to a vegetable distribution separation type turnover box which comprises an outer box. A frame-shaped groove is formed in the outer box, an inner frame is installed in the frame-shaped groove in a sliding mode, a cross-shaped partition plate is fixed in the outer box, a cross-shaped groove is formed in the cross-shaped partition plate, a cross-shaped lifting plate is installed in the cross-shaped groove in a sliding mode, and four sides of the cross-shaped lifting plate are fixedly connected to the inner frame. Limiting grooves are formed in the two sides of the outer box, guide rods are inserted into the two limiting grooves in a penetrating mode, one ends of the guide rods are fixedly connected to the inner frame, the other ends of the guide rods are sleeved with locking caps, the locking caps are arranged on the outer side of the outer box, grooves are formed in the two sides of the inner frame, and the grooves are arranged in the grooves. The bottom of each groove is fixedly connected with two springs; when the turnover box is used, the size of the storage space can be adjusted according to requirements, meanwhile, the accumulation stability of a plurality of turnover boxes can be guaranteed, and the transportation safety is guaranteed.

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 belongs to the field of rocket recovery, particularly relates to an offshore recovery rocket sealing device and a using method thereof, and provides the following scheme that the offshore recovery rocket sealing device comprises a rocket sealing conveying mechanism movably mounted on an offshore landing platform, and the top end of the outer side wall of the offshore landing platform is rotationally sleeved with a rotating platform with a rotating driving mechanism; a rocket sealing transportation mechanism is movably mounted on one side of the rotating platform through two fixing blocks and a locking bolt, and a weight box is mounted on the other side of the rotating platform; the rocket sealing transportation mechanism comprises a loading cylinder with a sealing gate plate at an opening in one side, and an auxiliary fixing mechanism I with a plurality of clamping mechanisms is mounted in the loading cylinder. According to the device, rockets landing on any landing point on the offshore landing platform can be rapidly clamped and fixed in an auxiliary mode, then the rockets are loaded into the loading cylinder to be transported, the problem that the rockets topple over in the harbor returning process of a rocket recovery platform is solved, and the transportation safety is high.

The utility model discloses a safety protection system for a standing driving type piling car, which belongs to the technical field of storage car safety protection and comprises a controller, an interlocking switch, a lifting buffer switch, a descending buffer switch, an OPS switch, a transportation safety switch, a high-position speed limiting switch, an arm protection switch, a standing plate sensing switch and a handle. The lifting height H of the portal frame is judged through the controller, and the driving motor and the pump motor are controlled to work according to the signal states of the handle, the standing plate sensing switch, the OPS switch, the arm protection switch, the transportation safety switch, the high-position speed limiting switch, the lifting buffer switch and the descending buffer switch. According to the utility model, the associated control of the running speed and the lifting and stacking height of the standing type stacking vehicle can be realized.

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 provides an asynchronous federal learning system and method for a turnout switch machine fault diagnosis model. The system comprises the following steps: acquiring mechanical vibration signals at three positions of a speed reducer shell, a contact seat and an actuating rod of a switch machine by using a mechanical vibration sensor; information fusion of the vibration signals of the three point locations is carried out; a lightweight dual-scale neural network model; an asynchronous federated learning process resistant to time delay and packet loss; and an asynchronous federated learning system structure. An asynchronous federal learning process resistant to time delay and packet loss is adopted, communication delay and the remaining receiving time of single uploading of an edge computing unit are fully utilized, and the extra computing time for fusion after all units are uploaded is shortened; the asynchronous federated learning system structure clarifies the hierarchical relationship and specification of federated learning of point switch fault diagnosis in a railway system. Distributed training of the switch machine fault diagnosis model is realized, and reliable guarantee is provided for railway transportation safety.

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 risk superposition-considered dangerous driving risk quantitative evaluation and early warning grading method, and relates to the field of aircraft driving safety, and the method comprises the steps: selecting a pilot dangerous driving single-source risk characterization index, and carrying out the quantification; constructing a pilot dangerous driving single-source risk quantitative evaluation model and a pilot dangerous driving multi-source risk superposition model; predicting the dangerous driving comprehensive risk of the pilot; grading the dangerous driving comprehensive risk of the pilot; sending a grading early warning signal to the pilot according to the prediction structure; the pilot dangerous driving risk quantitative evaluation model is constructed, graded early warning is performed on the result, the pilot dangerous driving behavior characteristics are comprehensively analyzed, and the pilot dangerous driving risk can be efficiently sensed, predicted and early warned, so that the aircraft accident rate is reduced, and the air transportation safety is improved.

The present invention is applicable to the technical field of logistics boxes, and provides a logistics box for logistics freight, including a logistics box body, wherein the logistics box body is composed of side supports, a top support, a bottom plate, a side fence, a bottom support and a fixed slide rail, a clamping portion is arranged on one side of the bottom support, and also includes: a clamping mechanism and a non-return mechanism, the clamping mechanism includes a driving shaft, a first pulley, a toothed belt, a second pulley, a mounting shaft and a clamping plate, the clamping plate cooperates with the clamping portion, the driving shaft is connected to the non-return mechanism, and the upper and lower logistics boxes can be connected as a whole through the clamping mechanism to realize vertical stacking of the logistics boxes, which can not only reduce the space occupied by the logistics boxes and reduce the transportation cost of the logistics boxes, but also shorten the loading and unloading time of the logistics boxes and improve the loading and unloading efficiency of the logistics boxes, and the non-return mechanism can limit the rotation direction of the driving shaft to ensure the connection stability between multiple vertically stacked logistics boxes and improve the transportation quality and transportation safety of the logistics boxes.

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.