288 results about "Dangerous goods" patented technology

The invention belongs to the technical field of data analysis, and relates to a port ship berthing dynamic risk prediction and pilot intelligent matching method. According to the invention, by quantitatively calculating the comprehensive qualification score and dividing the grade, dynamic matching of the pilot and the task risk grade is realized, an evaluation mode dominated by artificial experience is broken, the accuracy of pilot qualification evaluation is improved, and the operation error rate caused by insufficient personnel qualification is reduced; by dynamically simulating the berthing process and calculating risk indexes such as the offset rate and the collision energy, the berthing risk is pre-judged and graded, the berthing risk identification accuracy is improved, equipment operation parameters, dangerous goods states and meteorological data are analyzed in real time, risks such as faults, leakage and extreme weather are accurately identified, corresponding measures are triggered, and the safety of berthing is improved. Targeted management of berthing risks is facilitated, and accident loss and port operation interruption risks are effectively reduced.

The invention relates to the technical field of dangerous cargo management, in particular to an intelligent compliance verification system for dangerous cargo boxing operation. Comprising a data acquisition preprocessing unit; the law and regulation graph construction iteration unit is used for extracting a'law and regulation term number-verification dimension-constraint condition 'triple of the law and regulation in the dangerous cargo boxing field and introducing an improved three-dimensional dynamic weight conflict resolution algorithm according to the efficacy level, the release subject and the application range indexing; a multi-agent collaborative verification unit; a risk early warning report generation unit; and a man-machine cooperation closed loop unit. According to the method, the problems of lagging of laws and regulations and clause conflicts are solved by adopting triple extraction of'laws and regulations clause numbers-verification dimensions-constraint conditions', a three-dimensional dynamic weight conflict resolution algorithm based on laws and regulations effectiveness-scene matching degree-release time and a technical means of periodically optimizing weight parameters through a reinforcement learning model.

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

The invention discloses a 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 an intelligent paid waste recovery system, which relates to the technical field of waste recovery and comprises an intelligent recovery box main body, a central control module, a user interaction module, a settlement module and a user side applet, the intelligent recycling bin main body comprises a single recycling bin door, an independent identification channel, a sorting execution module and a double-category sorting bin body; the double-category sorting cabin body comprises a paper-plastic cabin body and a fabric cabin body, electric sorting gates are arranged at the tops of the paper-plastic cabin body and the fabric cabin body, and weighing settlement units are arranged at the bottoms of the paper-plastic cabin body and the fabric cabin body; a dangerous goods detection module, a delivery quantity limiting module, an overlapping recognition module, an overlapping goods dispersing module and a self-adaptive illumination category recognition module are sequentially integrated in the independent recognition channel in the goods conveying direction; according to the scheme, identification precision fluctuation can be improved, and a stable and reliable classification effect is formed.

The invention provides a ship lock intelligent scheduling method and system considering ship classification and dangerous goods isolation, and the method comprises the steps: S1, obtaining the information of a to-be-scheduled ship and the information of a lock chamber, and constructing a conventional ship information list ListN and a dangerous ship information list ListD based on the danger level of the to-be-scheduled ship; s2, according to the management method of the hydro-junction where the lock chamber is located, the danger level of independent lockage is obtained, and the safety size of the ship needing independent lockage in the ListD is modified so that the lock chamber can be fully occupied by the ship; and S3, respectively taking the ListN and the ListD as an input list ListI, calculating a global highest scheduling score of the ListI based on the safety size, the arrival time and the type of the ship, and selecting a global optimal scheduling scheme corresponding to the higher global highest scheduling score in the ListN and the ListD as a final scheduling scheme. The united targets of improving the utilization rate of the lock chamber, reducing the waiting time of the ship, weighing the priority of the ship and isolating the dangerous goods ship are achieved.

The invention discloses a temperature on-line monitoring and early warning system for fire protection clothing, which relates to the technical field of fire protection monitoring and early warning and comprises a data collection module, a data preprocessing module, a calculation processing module and an early warning execution module. Wherein the calculation processing module comprises a dynamic temperature risk unit, a comprehensive environment risk unit and a safety prediction unit. The dynamic temperature risk unit fuses temperature, a safety threshold value, a change rate, material aging, humidity and a heat reflection attenuation coefficient, outputs a dynamic temperature risk coefficient and reflects a safety margin, and the comprehensive environment risk unit introduces gas concentration, the number of hazardous articles, smoke attenuation and an action intensity coefficient based on the dynamic temperature risk coefficient, constructs an environment coupling risk index, and finally performs the safety analysis on the environment coupling risk index. And the safety prediction unit integrates a basic safety time constant, an environment coupling risk index, a dynamic temperature risk coefficient, a heat flux density and an oxygen concentration correction coefficient, outputs a residual safety time prediction value, and guides an evacuation decision of a fireman.

The invention discloses a container dangerous mark identification method and system, a storage medium and a program product, and relates to the field of general image data processing, and the method comprises the steps: identifying a UN number region and a plurality of dangerous mark candidate regions in a container image; determining a probability distribution list containing all possible categories of each dangerous standard candidate area to generate a preliminary recognition result; determining a serial number identification result of the UN serial number area, and querying a corresponding standard dangerous standard set; generating a virtual anchor point coordinate set according to the position coordinates of the UN numbered region and a preset layout rule; according to the probability distribution list, combining the due risk mark type and the risk mark candidate area, and generating a plurality of groups of candidate allocation hypotheses; determining a harmony score of the candidate allocation hypothesis; and determining an optimal allocation scheme with the highest harmony degree score, correcting the preliminary identification result based on the optimal allocation scheme, and generating a dangerous mark identification report of the target container. According to the invention, the identification accuracy of the hazardous article mark can be 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.

The invention discloses a self-identification and early-warning method for abnormal high temperature of a vehicle in a free flow state, and the method achieves the precise identification of vehicle tire overheating and fire hazards through the fusion of thermal imaging analysis and a dynamic scene modeling technology. The method comprises the following steps: firstly, positioning a tire area in a thermal imaging image in real time by using a Yov11 model, segmenting an axle and a tread through a clustering algorithm in combination with temperature distribution and position characteristics, calculating a local average temperature and quantifying an abnormal index; meanwhile, environmental interference is eliminated by adopting a dynamic background modeling technology based on statistical analysis, efficient classification is performed on smoke areas in combination with a full convolutional neural network, and a smoke probability is output. Furthermore, the system dynamically evaluates the comprehensive risk level by fusing the temperature abnormal data and the smoke detection result, and links a grading early warning mechanism. According to the method, the detection precision and the response speed in a complex free flow scene are remarkably improved, the method can be widely applied to the fields of logistics transportation, dangerous goods vehicle monitoring and the like, and intelligent guarantee is provided for driving safety.

The invention discloses an electronic waybill submission system and method applied to dangerous goods road transportation, and relates to the technical field of data security, and the method comprises the steps: collecting structured submission data, and carrying out the field renaming, type conversion and legality detection; executing normalized coding to obtain an idempotent check key; carrying out sampling and smoothing processing based on an idempotent check key, and calculating an event commitment value to form a space-time commitment chain; calculating a trajectory quality base score and a space-time consistency base score according to the space-time commitment chain to generate a quality threshold pass token; screening a minimum disclosure field set according to the token and executing hashing and block encryption to generate a signature message; and completing repeated retrieval and verification based on the signature message, and generating an audit log. Through a linkage mechanism of the space-time commitment chain and the quality evaluation module, quality grading and space-time consistency quantitative checking of the vehicle trajectory data are realized.

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

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

The invention discloses a low-sensitivity activator as well as a preparation method and application thereof, and belongs to the technical field of gas fracturing. Potassium perchlorate is used as an oxidizing agent of the low-sensitivity activator, flour is used as a combustible agent of the low-sensitivity activator, and the mass ratio of the potassium perchlorate to the flour in the low-sensitivity activator is (50-70): (10-20). The low-sensitivity activator provided by the invention has the advantages that the mechanical sensitivity, flame sensitivity and static sensitivity of the low-sensitivity activator are at extremely low levels, and the low-sensitivity activator has excellent stability and higher ignition temperature; related tests carried out according to the Program on Dangerous Goods Transport of the United National further show that the activator not only has remarkable gas production rate, but also shows extremely low sensitivity to shock waves, the insensitive characteristic of the activator is even superior to that of a conventional insensitive explosive, and practical application verification shows that the cracking effect of the activator is completely not lower than the level of a metal powder activator.

The invention provides a mixed double-source luggage security inspection machine, which belongs to the technical field of security inspection equipment, and comprises a delivery conveyor belt, a detection box covers the upper part of one side of the delivery conveyor belt, a back scattering detector is arranged in the detection box, transmission detectors are arranged around the back scattering detector, and the transmission detectors are arranged on the back scattering detector. And a detection terminal is arranged at the end part of the delivery conveyor belt. The luggage security inspection machine has the effect of solving the technical problem that the luggage security inspection machine is difficult to fully detect dangerous goods.

The utility model relates to the technical field of dangerous goods storage, in particular to an ethanol type dangerous goods storage device which comprises a storage tank, a limiting pipe and a partition plate, a cover plate is arranged on the outer wall of the upper end of the storage tank, the limiting pipe is installed in the cover plate in an inserted mode, and a limiting groove is formed in the limiting pipe. A connecting rod is movably mounted in the limiting groove, a push plate is welded to the outer wall of the lower end of the connecting rod, a partition plate is movably mounted on the outer side of the limiting pipe, and swash plates are welded to the outer walls of the two sides of the partition plate, so that shaking of liquid in the storage process is reduced, the storage stability is improved, and potential safety hazards caused by shaking of the liquid are prevented; and by means of the design, partition management can be conveniently conducted on the interior of the storage tank, and the storage efficiency is improved.

The invention discloses a dangerous goods vehicle complex environment monitoring method and system based on satellite positioning, and relates to the technical field of vehicle monitoring, and the method comprises the steps: obtaining the historical monitoring data of a dangerous goods vehicle, and carrying out the information extraction to obtain historical satellite positioning data, historical dangerous goods vehicle motion data and historical geographical environment data; constructing a combined positioning module according to the historical satellite positioning data and the historical dangerous goods vehicle motion data; according to the combined positioning module and the historical geographical environment data, constructing a risk assessment early warning model; and obtaining current satellite positioning data, current dangerous goods vehicle motion data and current geographical environment data, and inputting the data into the risk assessment early warning model to obtain a risk assessment early warning result to perform complex environment monitoring on the dangerous goods vehicle. The problems that a traditional monitoring method is insufficient in positioning continuity, single in risk assessment and mutually independent in data information are solved, and multi-dimensional and intelligent risk assessment early warning of the dangerous goods vehicle in a complex environment is achieved.

This invention discloses a method for identifying hazardous targets in millimeter-wave security gates based on intelligent correction of misclassification. Belonging to the field of hazardous target identification technology for millimeter-wave security gates, it solves the problem of misclassification caused by the similarity of features between different categories during the classification of millimeter-wave radar imaging data in existing technologies. The method includes: batch acquisition of historical millimeter-wave radar imaging data and their corresponding target categories, constructing a training set and an evaluation set; iteratively training a hazardous target identification model for millimeter-wave security gates using the training set; evaluating the trained hazardous target identification model using the evaluation set, filtering out all misclassified data, and forming several sets of misclassified pairs; correcting the misclassification of the target identification model using the misclassified pairs; and using the corrected hazardous target identification model for real-time millimeter-wave radar imaging data.

The application provides a ship cargo hold and a ship cargo loading system, and relates to the technical field of ship cargo hold air exhaust. The cargo hold hatch coaming is arranged on the part of the main deck extending from the top of the cargo hold body, and the outer air duct is arranged on the outer side of the outer wall of the cargo hold hatch coaming. The gas in the cargo hold cavity can be exhausted along the outer air duct. Since the gas in the cargo hold cavity can be exhausted through the outer air duct on the outer side of the cargo hold hatch coaming at the top of the cargo hold body, the dangerous gas generated by volatilization and gathered at the top of the cargo hold cavity can be more easily exhausted, the loading height of the cargo in the cargo hold cavity is effectively increased, the technical problem that the existing cargo hold air duct design limits the loading height of the dangerous goods in the cargo hold, reduces the cargo carrying capacity of the ship, and the dangerous gas gathered at the top of the cargo hold is not easy to exhaust is solved.

The utility model relates to a dangerous goods storehouse which comprises a storehouse body, a ventilation assembly and an early warning assembly. The ventilation assembly comprises a ventilation pipeline, a fan and a ventilation column body; the ventilation pipeline is provided with at least one communicating end and an air outlet end; at least one communication end is communicated with the storehouse body, and one communication end is communicated with the ventilation column body; the air outlet end is communicated with the outside; the fan is arranged on the ventilation pipeline and is communicated with the ventilation pipeline; a ventilation opening is formed in the lower part of at least one plate far away from the inner wall of the storehouse body; the early warning assembly comprises an alarm and a plurality of gas detectors; the alarm is arranged on the outer wall of the storeroom body and connected with the outer wall of the storeroom body; the plurality of gas detectors are arranged on the ventilation column body and are connected with the ventilation column body; through the arrangement of the ventilation column bodies, the gas detectors are arranged on the ventilation column bodies, and the arrangement positions of the detectors are concentrated, so that the overall layout of the warehouse is clean and tidy, and it is guaranteed that emergency situations can be handled in time.

The application discloses the technical field of video analysis, and particularly relates to a video multi-frame parallel time sequence analysis intelligent monitoring system, which comprises an image acquisition module, a data preprocessing module and a multi-frame parallel processing module; the image acquisition module is used for shooting an energy plant; the data preprocessing module is used for preprocessing video data collected by the image acquisition module, including denoising, image enhancement and normalization, so as to improve the quality and stability of the video data and provide a better basis for subsequent analysis; and the multi-frame parallel processing module is used for dividing the video data processed by the data preprocessing module into multiple video frames. The GPS chip module, the detection module and the time sequence analysis module are arranged, so that not only the dangerous goods can be tracked and monitored, but also the nearby personnel of the dangerous goods can be identified.

The utility model belongs to the technical field of dangerous goods tests, and particularly relates to a water-encountering deflation experimental device and a drainage mechanism, the water-encountering deflation experimental device comprises a reaction tank and a drainage mechanism, the bottom of the water storage tank is hollowed out, and a drainage mechanism is arranged at the hollowed-out position. A moving part in the drainage mechanism is in sliding connection with the lower end surface of the water storage tank, so that water in the water storage tank flows into the reaction tank after the moving part moves; the mixing mechanism is arranged in the reaction tank and is suitable for being started after the water in the water storage tank enters the reaction tank to mix substances and water in the reaction tank; by arranging the drainage mechanism and arranging the drainage mechanism in the reaction tank in advance, after an experiment is started, water in the drainage mechanism is directly injected into the reaction tank through the drainage mechanism, and compared with the prior art that water is injected from the outside of a reaction bottle to the inside of the reaction bottle, the change of gas pressure in the reaction bottle is reduced, and the change of gas flow is indirectly reduced; and a detection result is closer to a real value.

The invention relates to the technical field of logistics package identification, in particular to an intelligent volume identification and early warning method for logistics packages. The method comprises the following steps: S1, parcel collection; s2, wrapping pretreatment; s3, parcel type judgment; and S4, fusing the volume and the weight. A point cloud model is generated in a non-contact 3D visual scanning mode, a rapid mode is directly entered for calculating the volume of a regular hard package, an accurate mode is entered for an irregular or flexible package, the real occupied volume of the package is obtained through a concave package voxelization algorithm, and the real occupied volume of the package is calculated by judging the density of the package. On one hand, false parcels and dangerous articles in the parcels can be effectively screened and early warned, dangerous transportation and transport capacity waste are avoided, on the other hand, the distribution condition of the parcels in the compartment is correspondingly adjusted through the density, and the maximum carrying vehicle volume and the load utilization rate are facilitated.

The utility model discloses an electric visual explosive ordnance disposal mechanical claw, including support frame, the rear end of support frame is equipped with electric drive module, the upper end of support frame is equipped with high definition infrared night vision camera, the inside transmission of support frame is connected with the threaded rod, the front end of electric drive module is equipped with first gear and second gear, and the first gear and second gear are engaged. The utility model discloses through electric drive module drive first gear and second gear meshing rotation, thereby makes support frame whole rotation, realizes claw body electric 360 degrees all -round rotation, adjusts dangerous goods clamping posture at will, adapts complex scene explosive ordnance disposal operation, cooperates high definition infrared night vision camera, supports daytime, night, low light full -time high definition monitoring of environment, follows claw body synchronous rotation blind area, and the flexible palm face adopts buckle quick -mounting knot, and the plane, arc palm face can be replaced fast with bare hands, and one -key dismounting, and with replacement, use, and the efficiency of emergency explosive ordnance disposal operation is greatly improved.

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

The invention belongs to the technical field of hazardous chemical substance analysis, and particularly relates to a hazardous chemical substance basic informatization data analysis system and method.The hazardous chemical substance basic informatization data analysis system comprises a hazardous substance basic information data acquisition module, a data storage module, a data analysis module, an early warning mechanism module, a visual display module and a user identity information management module; the system is used for collecting relevant basic information of dangerous goods in real time, and the basic information comprises material properties, storage conditions, real-time monitoring data and historical data. The hazardous chemical substance storage environment is monitored in real time through the sensor assembly, the system can find potential risks such as temperature, humidity and gas concentration abnormities in time, so that early warning is given out in advance, accidents are reduced, meanwhile, the early warning mechanism module is arranged, intelligent monitoring and early warning of environment parameters are achieved, and the safety and reliability of the system are improved. A worker can customize an early warning rule according to own requirements, so that timely response is ensured when the environmental parameters are abnormal, and safety is guaranteed.

The invention provides a container dangerous goods identification method and system based on a visual language large model. The method comprises the following steps: obtaining and preprocessing packing photos of a container; extracting dangerous goods packing pictures as picture training samples by using the target detection model; generating prompt word samples respectively corresponding to the picture training samples; extracting image sample features and cue word features, and aligning the two features by using an image-cue word alignment model to obtain a plurality of image-text description pairs; constructing a multi-modal visual language large model, and training a three-stage training strategy by using image-text description; performing fine tuning on the model subjected to three-stage training by utilizing a supervised fine tuning technology, and outputting a trained model; and inputting the to-be-identified boxing photo and the cue word into the model, and outputting a dangerous goods identification result by the model. According to the invention, boxing photos in different scenes can be automatically processed, image and text information can be effectively fused, and the dangerous goods identification accuracy and efficiency can be improved.

The utility model is applicable to the field of logistics transportation, and provides a logistics tray for transporting dangerous goods, which comprises a tray main body, a bottom support, a tray body and a tray cover, and is characterized in that the tray main body is used for placing a liquefied gas storage tank; the bearing plate is movably installed in the bottom support, and a clamping groove matched with a base is fixedly formed in the top of the bearing plate and corresponds to the base welded to the bottom of the liquid gas storage tank; the cover plate comprises a plate body, and a limiting hole matched with the liquid gas storage tank is fixedly formed in the cover plate corresponding to the liquid gas storage tank; and the multiple connecting assemblies are used for connecting the tray body and the cover plate to achieve limiting and fixing of the liquid gas storage tank. By adopting the modular structural design, the tray main body, the cover plate and the connecting assembly which are independent are combined and spliced to form a detachable structure, and the liquefied gas storage tank is limited and fixed through the arranged limiting holes matched with the clamping grooves, so that the shaking of the liquefied gas storage tank in the transportation process can be effectively limited; therefore, the liquid gas storage tanks are prevented from colliding with one another in the transportation process, so that the liquid gas storage tanks are prevented from being damaged and even accidents are prevented from being caused.

The utility model relates to the technical field of pipeline hoisting, and discloses a dangerous goods conveying pipeline hoisting device which comprises a hoisting hook body, two first clamping components, a linkage component and a second clamping component, according to the lifting hook, the lifting hook body is installed at the two ends of a pipeline, the two shackles of a crane are connected with the two connecting blocks, the crane is started, the four rotating plates can be driven by the connecting blocks and the two movable blocks to rotate, the rotating plates rotate to drive the clamping teeth to make contact with the outer wall of the pipeline, and therefore the friction force between the lifting hook body and the pipeline is increased; the rotating plate rotates to further drive two sliding rods to slide downwards, the two sliding rods slide downwards to push a sliding plate and a friction pad to slide downwards and finally abut against the outer wall of the pipeline, the friction force between the lifting hook body and the pipeline is further increased, and after lifting is completed, the rotating plate can be automatically reset under pushing of two first springs; and the sliding plate can reset under the pulling of the three second springs, repeated operation of workers is not needed, and time and labor are saved.

The utility model discloses a shockproof logistics transportation frame for dangerous goods transportation, which comprises a base, and a plurality of anti-slip strips are arranged on the bottom surface of the base; the device further comprises a splicing structure, a stand column and a limiting structure. The height of the stand column is adjustable; the limiting structure comprises a limiting seat which is movably mounted on the base; limiting plates are movably arranged in the limiting base and close to the two sides, a plurality of supporting rods are arranged on the sides, away from each other, of the limiting plates, the supporting rods extend out of the limiting base and are provided with outer side plates, and nuts are arranged on the threaded supporting rods and located on the two sides of the limiting base. According to the utility model, a plurality of bases can be spliced for use, so that the overall stability is improved; and the limiting seat can be moved out of the base, so that the goods are convenient to move in and out, and are not easy to collide with the base above when being stacked and used.