878 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 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 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 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 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 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 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 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 invention discloses a railway axle counting equipment management system which comprises a hyper-fusion sensing terminal, an edge intelligent diagnosis unit, a digital twin management platform, a block chain evidence storage subsystem and an intelligent interaction terminal. The super-fusion sensing terminal is integrated with an orthogonal magnetic head array, a vibration sensor, a temperature and humidity sensor, a tilt angle sensor, a laser ranging module, a current sensor and a dust concentration sensor; the edge intelligent diagnosis unit is internally provided with a lightweight neural network and a fault feature knowledge graph; the digital twinborn management platform can construct a three-dimensional digital twinborn body of axle counting equipment, and integrates a multi-physics field coupling simulation module; the block chain evidence storage subsystem can perform uplink evidence storage on the fault original signal and the maintenance work order record; the intelligent interaction terminal comprises a three-dimensional visual interface and a mobile operation and maintenance App. The intelligent level of railway axle counting equipment management can be effectively improved, railway transportation safety and operation efficiency are enhanced, and the method is suitable for various scenes such as high-speed railways and urban rail transit.

The invention discloses a ground primary-secondary steel coil transport vehicle, transport system and transport method.The transport vehicle comprises a secondary transport vehicle body, a primary transport vehicle body and a lifting saddle, the primary transport vehicle body comprises a primary vehicle frame and primary vehicle driving mechanisms, and the primary vehicle driving mechanisms are arranged on the two sides of the primary vehicle frame respectively; the top of the mother vehicle frame is provided with two mutually parallel son vehicle tracks; the sub-transport vehicle is arranged on the sub-vehicle track, the sub-transport vehicle comprises a sub-vehicle frame and a sub-vehicle driving mechanism, and the sub-vehicle frame is a door-shaped frame; and the lifting saddle is arranged in the door-shaped frame. The device has the technical effects that the ground does not need to be excavated, the device can be used by directly erecting corresponding rails on the ground foundation, and the construction cost is low; the secondary transport vehicle and the primary transport vehicle can run independently, so that the steel coil can be quickly transported to an appointed position; automatic coil receiving or coil feeding of the steel coils can be achieved, and inventory steel coils can be automatically arranged according to actual production requirements; and an encircling structure is adopted, so that the transportation is safe and stable, and the overturning risk is avoided.

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 provides an underground transportation safety intelligent monitoring system and method. The underground transportation safety intelligent monitoring system comprises an environment monitoring module, a transportation monitoring module, an information early warning module, a monitoring management module and a danger level monitoring module. The environment monitoring module is used for acquiring environment state information and equipment state information; the transportation monitoring module is used for acquiring belt state information and coal flow state information; the information early warning module is used for carrying out over-limit alarm according to the acquired information; the danger level monitoring module is used for obtaining the number of overrun alarm times, dividing danger levels and then transmitting the danger levels to the monitoring management module. And the monitoring management module is used for storing, analyzing and processing various kinds of state information and judging whether the danger level is correct or not according to the various kinds of state information. On the basis of real-time monitoring of various unsafe factors in the transportation environment and the operation state, the danger level can be comprehensively judged, and the safety of coal mine transportation work is improved.

The invention relates to an inclined shaft TBM disassembly construction method. The method comprises the following steps that firstly, an adjustable supporting frame is arranged at the bottom of an inclined shaft; step 2, reversely disassembling each component according to the sequence of a cutterhead driving part, a main bearing, a shield and a thrust cylinder; thirdly, in the disassembling process, a hydraulic jacking device and a monorail hoist work cooperatively to conduct component hoisting; fourthly, a temporary transportation channel is formed in the side wall of the inclined shaft; fifthly, after every two parts are disassembled, steel arch supports are erected in the corresponding areas; and sixthly, the disassembled parts are transported outwards through a wheel type transport vehicle along an inclined shaft track. Through cooperative control of the multi-stage supporting system and the dynamic disassembling sequence, the stability of the inclined shaft structure is effectively guaranteed, the disassembling efficiency and the transportation safety of large-size components are remarkably improved by combining the design of the transportation channel with precise positioning and optimization of a braking system, and the method is suitable for rapid disassembling and transferring operation of TBM equipment in inclined shaft tunnel engineering.