292 results about "Sea transport" patented technology

This invention provides a comprehensive maritime shipbroking platform uniting digital twin modeling, AI-driven cargo allocation, blockchain-based contract management, predictive maintenance (AR / VR), route optimization, real-time tracking, and single-window compliance. The digital twin engine continuously simulates vessel performance, enabling data-driven decisions on stowage, scheduling, and maintenance. A cargo-freight matching module optimally allocates shipments, factoring in market rates, vessel metrics, and port congestion. Blockchain-secured smart contracts automate negotiations, ensuring transparency and tamper-proof enforcement. A predictive maintenance system applies advanced analytics to diagnose technical issues early, while the route optimization engine finds cost-effective, emission-compliant routes. Real-time tracking gives stakeholders constant visibility, and the single-window interface integrates Electronic Bill of Lading processes, satisfying IMO and IG P&I standards. Additionally, a dynamic vessel ranking system incorporates SIRE, RightShip, PSC, and user feedback for safer, more efficient chartering decisions. The invention addresses day-to-day operational challenges in maritime logistics, elevating efficiency and compliance.

Provided is an energy storage container. The energy storage container comprises a container body (1); in three directions, i.e., a first direction, a second direction, and an up-down direction, the sizes of the container body (1) in two directions among the three directions are the same as the size of a standard container having a preset size, and the size of the container body (1) in the remaining direction is smaller than the size of the standard container having the preset size, wherein the preset size is 10 chi, 20 chi, 30 chi, 40 chi or 45 chi, and the first direction, the second direction, and the up-down direction are perpendicular to each other. Under the condition that the size of the container body (1) is not greatly changed, the weight of the container body (1) can be reduced, and the energy storage container can be matched with conventional transportation apparatuses, thereby satisfying the transportation requirements of land transportation and / or ocean shipping, etc.

The invention discloses an auxiliary piloting method based on a double-layer trajectory clustering algorithm. The auxiliary piloting method comprises the steps of obtaining a historical trajectory set of a target ship based on a constructed ship space-time matching and speed / course difference judgment mechanism; performing main-level trajectory clustering on the historical trajectory set of the target ship according to the trajectory similarity measurement in combination with an HDBSCAN algorithm to obtain a trajectory main cluster; extracting and standardizing low-dimensional features of each target ship historical trajectory in each trajectory main cluster, and obtaining a standardized feature set for secondary trajectory clustering; according to the standardized feature set, a K-Means algorithm is combined to carry out secondary clustering on the track main clustering cluster to obtain a track sub-clustering cluster so as to obtain a ship piloting representative track, and then auxiliary piloting is carried out on different types of ships; and constructing a route recommendation and warning mechanism to realize route recommendation and warning. The problem that it is difficult to give consideration to fine analysis of multiple types of ships and timely provide effective route suggestions due to huge scale and large difference of obtained data with continuous expansion of marine transportation scale and popularization of AIS equipment at present is solved.

The invention, which relates to the technical field of marine transportation data analysis, discloses a block chain-based marine transportation data periodic acquisition and scheduling system comprising a data scheduling management center, the data scheduling management center being in communication connection with a data acquisition module, a request management module, a scheduling optimization module and a cross-chain interaction module, the modules are in electric signal connection; the data acquisition module is used for collecting and preprocessing sea transportation data from a plurality of data sources, and performing distributed storage of the sea transportation data in combination with a block chain technology. The block chain side chain and fragment technology is adopted, sea transportation data processing is dispersed to different side chains and fragments, the load of a main chain is effectively reduced, the throughput of the system is improved, meanwhile, the application of a hierarchical consensus mechanism carries out hierarchical processing on the consensus process, consensus delay is reduced, and the system performance is improved. The hierarchical processing mode not only balances the security and the efficiency, but also significantly reduces the system bottleneck and transaction confirmation delay during multi-user concurrent requests.

The invention discloses a marine transportation supply chain risk identification and early warning method based on a dynamic knowledge graph, and the method comprises the steps: carrying out the entity identification of multi-source data according to a global ontology model, so as to obtain the structural data of a marine transportation supply chain; obtaining a dynamic knowledge graph according to the sea transportation supply chain structured data; performing risk conduction path analysis on the marine transportation supply chain based on the dynamic knowledge graph to obtain a risk event cascade effect value of the marine transportation supply chain; on the basis of the constructed risk probability prediction model, predicting and outputting a path comprehensive identification risk value of the ship route according to the dynamic knowledge graph in combination with the risk event cascade effect value; and according to the path comprehensive identification risk value, dividing an early warning level, and according to the early warning level, realizing early warning and decision-making of the marine transportation supply chain. According to the method, the problems of global view missing, insufficient risk relevance insight, prediction lag and the like caused by data islands in an existing method are solved, and the problems of poor real-time performance and accuracy of risk management of the marine transportation supply chain are solved.

The invention is suitable for the technical field of marine transportation, and provides a container marine transportation network climate adaptability recovery method fusing a toughness theory, and the method comprises the steps: obtaining liner plan data, ship dynamic data, route adjustment data, port geographic coordinate data and multi-scale geofence data, introducing time dimension parameters, and obtaining a time dimension parameter; a space-time weighted container shipping dynamic network is constructed; the cascading failure strength of the space-time weighted container shipping dynamic network is quantified, and then the comprehensive efficiency index of the space-time weighted container shipping dynamic network is calculated; quantifying a toughness index of the space-time weighted container shipping dynamic network under an extreme weather event; and the cost effectiveness of the climate suitability improvement strategy of the space-time weighted container shipping dynamic network is evaluated. According to the method, the influence mechanism of the extreme weather event on the network efficiency can be quantitatively analyzed, and the recovery capability and adaptability of the network under the extreme weather event can be comprehensively evaluated.

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 a method for constructing and embedding a marine shipping mail abbreviation dynamic knowledge base under RAG enabling. The method comprises the following steps: constructing an abbreviation knowledge base; dynamically updating the abbreviation knowledge base; embedding the abbreviation knowledge base into a mail analysis system; wherein the step of constructing the abbreviation knowledge base comprises data cleaning, vector generation and data storage, that is, valuable semantic fragments and abbreviations are extracted from original sea transportation business mails, useless information is filtered, and character-level deduplication and standardization are carried out; generating semantic vectors by the abbreviations and the contexts of the abbreviations so as to carry out similarity retrieval; storing the cleaned data and the generated vector in a knowledge base storage scheme supporting vector retrieval; the method comprises the following steps: embedding an abbreviation knowledge base into a mail analysis system, and searching most relevant full name explanations and context definitions thereof in the knowledge base according to input abbreviations by adopting an RAG architecture; based on a retrieval result, the information is accurately mapped to a predefined field, semantic analysis and format standardization are carried out, and structured output is completed.

The invention relates to the technical field of ship performance prediction, and discloses a marine bulk carrier navigational speed prediction method and system, and the method comprises the steps: obtaining route planning data of a target bulk carrier, dividing the route planning data into different route segments, obtaining route segment sea area feature data and route segment navigation time sequence data for each route segment, and building a sea condition space-time sequence data set, performing multi-dimensional time sequence feature extraction to obtain a sea condition feature vector of each leg; determining a current working condition according to ship design parameters and cargo loading information of the target bulk cargo ship, and calculating a ship body wet surface area and a drainage volume under the current working condition; analyzing the total resistance value and the effective propulsion power of each leg in combination with the sea condition feature vector of each leg; and based on the total resistance value and the effective propulsive power of each leg, solving the predicted navigational speed value of the leg, and combining with the voyage distance of each leg to generate a segmented navigational speed prediction curve and full voyage number voyage time along the route. According to the method, the reliability of forecasting the long-voyage shipping speed is improved.

The invention discloses a drop impact resistance testing device, which relates to the technical field of impact testing devices and is technically characterized by comprising an electric sliding rail, a temperature and humidity simulation structure is arranged at the top end of the electric sliding rail, and a ground simulation structure is arranged at the bottom end of the electric sliding rail. The temperature and humidity simulation structure comprises a three-fork fixing frame fixedly installed at the top end of the electric sliding rail, a hydraulic cylinder is fixedly installed on the three-fork fixing frame, and a first pressure sensor is fixedly installed at the output end of the hydraulic cylinder. Closed-loop temperature control is constructed through the double-layer simulation box, a thermoelectric semiconductor and an atomizer, and the marine transportation high-humidity, cold-chain low-temperature and high-temperature environment is simulated; a hydraulic cylinder is combined to drive a hollow pressing plate to restore stacking pressure, and the pressed softening state of the carton is monitored in real time. Meanwhile, the ground simulation structure restores falling impact of various landing scenes such as cold chains, sea transportation and trucks. A real transportation scene is simulated in the whole process, and the accuracy and comprehensiveness of carton impact resistance evaluation are remarkably improved.

The invention belongs to the technical field related to energy storage safety, and particularly relates to a simulation method, a simulation device and a simulation system for container shipping vibration. A sea wave spectrum model and a cargo ship model are obtained, and a time domain signal is obtained according to the sea wave spectrum model; defining the time domain signal as fluid excitation, and obtaining a first response signal of a preset acquisition point of the cargo ship model according to the fluid excitation; acquiring a frequency domain sequence according to the first response signal, and calculating and acquiring power spectral density according to the frequency domain sequence; obtaining a container model, and calculating and obtaining a second response signal of the container model according to the power spectral density; whether the container of the current cargo ship meets the safety requirement or not is judged according to the second response signal. Safety simulation is carried out on the energy storage container body during marine transportation, so that mechanical damage caused by design problems during marine transportation of the designed energy storage container is avoided.

The invention discloses a corrosion-resistant anti-cracking cable sheath material and a preparation method thereof, and belongs to the technical field of cable materials. The sheath material is prepared by adopting ethylene-vinyl acetate rubber and ethylene-propylene-diene monomer rubber as matrixes, adding graphene modified conductive carbon black and self-repairing microcapsules in a specific proportion, and carrying out banburying premixing, open milling feeding, dynamic vulcanization and other multi-step processes. Graphene and carbon black form a stable conductive network according to a specific ratio under the action of a silane coupling agent, urea resin is taken as a wall material of the self-repairing microcapsule, epoxy resin and a curing agent in a core material are in a specific ratio, and the repairing efficiency is ensured. The tensile strength retention rate of the material is greater than or equal to 92% and the elongation at break retention rate is greater than or equal to 88% after the material is aged for 1500 hours in a salt mist environment, the strength recovery rate of microcracks reaches 85% or above after the microcracks are subjected to heat treatment at 70 DEG C for 2 hours, and the material has excellent corrosion resistance, cracking resistance, self-repairing function and static dissipation capacity and is particularly suitable for cable protection in severe environments such as marine transportation and chemical engineering.

The invention discloses a coastal crude oil transportation prediction and early warning system and method based on a supply and demand whole chain, and belongs to the technical field of energy and logistics. The system comprises a data base layer which can collect and preprocess multi-source data so as to provide standardized and high-accuracy multi-source heterogeneous data; the prediction core layer can construct a three-level progressive multi-dimensional prediction model based on the ship, the transportation volume and the demand, and prediction coverage from a microscopic ship track to macroscopic supply and demand matching is realized; the risk management and control layer can construct a three-dimensional progressive early warning evaluation model based on a port, sea transportation and an abdominal land, realizes early warning coverage from a local node risk to a full-chain supply chain risk, and links prediction and decision making; and the landing application layer can integrate the technical achievements of the first three layers and convert the technical achievements into visual and operable decision results. According to the invention, real-time monitoring, accurate prediction and intelligent early warning of the crude oil market can be realized through multi-source data fusion, machine learning modeling and a dynamic early warning mechanism.

The invention discloses a dynamic air-cooling heat dissipation device of a marine container battery pack and a control method thereof, and the device comprises a cooling fan, a battery pack box body, a temperature sensor, a BMS controller, a frequency converter and the like which are associated. The control method comprises conditional heat dissipation adjustment in the single battery pack box body and consistent heat dissipation adjustment of all the battery pack box bodies in the container. The purpose of dynamic cooling is achieved by monitoring the temperature condition in each battery pack box body and driving and adjusting the rotating speed of the cooling fan with the most appropriate current, compared with traditional constant-speed heat dissipation, energy consumption is reduced by 25-30%, temperature difference comparison is conducted on all the battery pack box bodies in the marine transportation energy storage container, the internal working temperature consistency is improved, and the service life of the marine transportation energy storage container is prolonged. The temperature difference is reduced by more than 40%, adaptive heat dissipation adjustment of the interior of the marine transportation energy storage container is achieved, and hidden dangers of an energy storage system in the aspects of service life and safety are reduced.

The invention discloses an SPMT shipping transportation method for a floating mounting module. The SPMT shipping transportation method for the floating mounting module comprises the following steps that S1, preparatory work is completed in advance; s2, the SPMT transport vehicle is driven to the position below the floating support mounting module; s3, after the SPMT transport vehicles make contact with the lower surface of the transport lifting beam, all columns of SPMT transport vehicles are connected together, and a hydraulic supporting system is formed; s4, lifting the floating support mounting module and completely separating the floating support mounting module from the final assembly cushion pier; s5, the SPMT transport vehicle advances towards the barge in-place position through the connecting trestle; s6, when the SPMT transport vehicle arrives at the position above the sea transportation buttress; and S7, the SPMT transport vehicles are operated to reduce the height, the heights of the floating support installation modules are reduced accordingly, the floating support installation modules make contact with the marine transportation buttresses, the SPMT transport vehicles are driven away from the lower portions of the floating support installation modules in sequence, the SPMT transport vehicles return to the wharf through the connecting trestle, and shipping operation of the floating support installation modules is completed. According to the SPMT shipping transportation method for the floating mounting module, the working efficiency is greatly improved, and the cost is reduced.

A system and method for transporting bees allows live bees, in hibernation, to be exported by sea. The system has a packaging device having a box with a funnel through which the bees fall and are collected, a transport box having a body, a cover of the same geometry and larger than the body to cover the side walls and top of the body, ventilation openings arranged in two of the side walls, and at least one floor arranged to cover a lower part of the body. The body is where bees are collected and a feeder is located at an opening of the body and contains gelled food. An interior space houses the bees and allows them to feed from the perimeter of the feeder, where the gelatinized food is located, and at least one refrigerated container where the transport boxes, previously palletized, are arranged for maritime transport.

The application provides a multi-objective robust optimization method, system, storage medium and electronic equipment for production task planning of a multi-agent collaborative platform, and relates to the technical field of production task planning of a multi-agent collaborative platform. First, according to the production task planning resources of the multi-agent collaborative platform and a single-batch overseas order, a production task planning model with a manufacturing enterprise agent as the core is constructed under the premise of determining the sea transportation time. Then, an infinity norm ball uncertain set is designed for the sea transportation time of a large ship, a robust quadratic multi-objective model for cross-regional multi-agent production task planning is constructed, and the total delivery time deviation and total delivery cost multi-objective of the single-batch overseas order are optimized. The model considers the sea transportation plan prepared in advance by a shipping company agent and the long and uncertain sea transportation time. In addition, the model is converted into an equivalent model, a two-stage hybrid heuristic algorithm is designed for solving, and a reasonable and feasible production task planning suggestion is given for the single-batch overseas order.

The invention discloses a solid heat accumulator capable of being transported by a container and a tower type installation method. The tower type installation method comprises the steps that solid heat accumulation units are built, detected and packaged in a factory workshop according to standard modules; the solid heat storage unit module adopts a standard container as a containing box body, the solid heat storage unit module is loaded into the container through hoisting equipment, and the solid heat storage unit module is transported to an equipment installation site through traffic transportation modes such as land transportation and sea transportation; the solid heat storage unit modules are transported to a container of an engineering site, the solid heat storage unit modules are integrally moved out of the container, the solid heat storage body of a tower-shaped stack body is formed through stacking installation in a fork loading or hoisting mode, N sets of solid heat storage unit modules are placed on the first layer, N-1 sets of solid heat storage unit modules are placed on the second layer, and N-2 sets of solid heat storage unit modules are placed on the third layer. In the container, a solid heat storage unit module bolster is placed below each group of solid heat storage unit modules in advance for fixing, so that the solid heat storage bodies are kept stable in structure in the transportation process.

The invention relates to an ocean transportation network system toughness evaluation and monitoring early warning method. The method comprises the following steps: S1, identifying key nodes and vulnerabilities of a network model; s2, analyzing short-term or long-term influence of robustness and fault tolerance evaluation results and node or edge change on network performance; s3, analyzing a flow direction prediction result of the bulk cargos; s4, analyzing the adaptation mechanism of the network to the dynamic change; s5, analyzing a network toughness evaluation result, and optimizing a network strategy based on the network toughness evaluation result; and S6, outputting a prediction result by the prediction model, and outputting a monitoring and early warning result based on the ship trajectory semantic model and the real-time AIS data. Compared with the prior art, the method has the advantages of more effectively identifying modes, trends and potential risk points and the like.

The present invention discloses a method for detecting abnormal ship status based on AIS data, comprising the following steps: obtaining raw AIS data, preprocessing the raw AIS data to obtain the original trajectory of the ship, and segmenting the original trajectory to obtain straight and curved segments of the original trajectory; after extracting the curved and straight segments, using a trajectory similarity measurement algorithm to eliminate abnormal trajectories, and using a Bi-LSTM model to predict on the basis of the absence of abnormal trajectories; and constructing a prediction-based anomaly detection model based on the straight and curved segments using a Bi-LSTM deep learning model to complete the detection of abnormal ship status. The present invention monitors the ship's navigation status in real time, automatically detects anomalies, and issues timely warnings, effectively reducing the reliance of safety supervision on manpower and having important significance in ensuring the safe navigation of ships and the prosperity and development of maritime trade.

The invention relates to a marine ship carbon emission accounting method and device based on interpretable residual learning, and a medium, and the method comprises the steps: complementing the missing of static parameters through ship IMO numbers, carrying out the unified coding and unit standardization of marine log dynamic data, combining the host power and oil consumption dual-path verification of the data validity, and carrying out the calculation of the marine ship carbon emission. After abnormity is cleaned, dynamic, static and meteorological data are fused to construct a carbon emission database; calculating the comprehensive action of wind resistance, still water resistance and wave resistance by applying a fluid mechanics law, generating a physically-driven carbon emission reference value, and synchronously extracting key characteristics such as navigational speed, wave height and ship length; with reference values and features as samples, uncovered dynamic features are learned through a multi-layer residual block chain structure, and a carbon emission accounting model is trained in combination with a cross validation and regularization mechanism; and finally realizing high-precision carbon emission prediction based on the training model. Compared with the prior art, the method has the advantages that the residual network is comprehensively used, interpretability analysis is achieved, and high-precision prediction of ship carbon emission is achieved.

The utility model discloses an arrangement device for integrated energy storage equipment. The arrangement device comprises a first box body used for installing the energy storage integrated equipment; the second box body is used for installing an energy storage integrated battery, and the energy storage integrated battery in the second box body is electrically connected with the energy storage integrated equipment in the first box body through a box penetrating cable; wherein the opposite ends of the first box body and the second box body are respectively provided with a box door component, the top of the first box body and the top of the second box body are respectively and fixedly provided with a photovoltaic panel fixing frame through bolts, in the transportation process, the photovoltaic panel fixing frames can be stored in the box bodies, additional transportation is not needed, the highly integrated energy storage equipment can be transported along with the box bodies, and the transportation efficiency is improved. And the size of the box body is the size of a standard container, so that the box body is suitable for ocean shipping, the land cost and the shipping cost are reduced, and the equipment installation efficiency is greatly improved.

The application discloses a long-acting thixotropic rust-proof oil composition which is composed of the following components in mass fraction: base oil 70-95 parts, rust-proof agent 5-15 parts, auxiliary rust-proof agent 1-5 parts, antioxidant 0.1-1 part, thixotropic agent 1-20 parts and film forming agent 1-5 parts. The application also discloses a preparation method thereof, wherein after the components are weighed, the base oil is heated and stirred, and then added into the film forming agent to obtain mixture A; the mixture A is added into the thixotropic agent, the rust-proof agent, the auxiliary rust-proof agent and the antioxidant in sequence, and then constant-temperature stirring is conducted to obtain mixture B; after the mixture B is filtered, the filtrate is the composition of the application. The long-acting thixotropic rust-proof oil composition has a high thixotropic index, is not prone to flowing, and can keep a stable oil film thickness on the surface of a workpiece; under the conditions of damp heat and salt spray, the long-acting thixotropic rust-proof oil composition can exhibit more excellent rust-proof performance, and is suitable for harsh storage or transportation conditions such as sea transportation.

The invention discloses a transformer marine transportation environment simulation device and a control method thereof, the transformer marine transportation environment simulation device comprises a fixed base, a mounting platform for placing a transformer is hinged to the fixed base, and the mounting platform is connected with a rotation driving device; the bottom of the mounting platform is hollow; a rotating shaft of the mounting platform is provided with an angular velocity sensor, the top of the mounting platform is provided with a plurality of vertically downward first displacement sensors, and the side surface of the mounting platform is provided with a plurality of horizontally oriented second displacement sensors. According to the invention, the test comprehensiveness is improved, and the reliability of transformer packaging and the safety of products can be comprehensively evaluated; the test precision is enhanced, and the performance of the transformer package can be evaluated more accurately by accurately controlling the swing amplitude and frequency and collecting data in real time; and the test safety is improved.

The utility model provides a marine transportation packaging structure for concrete pillars of an electrified railway, which is used for solving the problem that the surfaces of the concrete pillars are extremely easy to damage in the marine transportation process. An electrified railway concrete pillar marine transportation packaging structure comprises a plurality of limiting wooden frames, the limiting wooden frames are arranged on two parallel concrete pillars in a sleeving mode, steel belt grooves are formed in the limiting wooden frames in the circumferential direction, steel belts are arranged in the steel belt grooves, the steel belts are connected end to end to surround the limiting wooden frames, and cloth liners are arranged between the limiting wooden frames and the concrete pillars. Isosceles triangle wooden wedges are arranged between the concrete supporting columns, the bevel edges of the wooden wedges abut against the side walls of the concrete supporting columns, the bottom edges of the wooden wedges abut against the limiting wooden frames, fixing belts are wound around the concrete supporting columns, and the two ends of the fixing belts are fixed to the two sides of the container respectively. According to the utility model, the concrete support can be limited from shaking in the container, and the stability in the transportation process is ensured.

A mini container for transport of goods, inside a standard sea container that is 233 cm wide, by trucks, by railroad wagons, or by other means, the mini container having a bottom plate having a pallet section open for lift from all sides by blades of a trasporter; a flat top configured to receive another identically configured mini container thereon; four walls; a door on at least one of six sides thereof connected to at least one of the walls with a hinge to rotate at least 270 degrees; and openings or protrusions in all four top comers for grip by a lifter; wherein the mini container has external dimensions that allows the mini container to be packed into the standard sea container with other identically dimensioned mini containers in a 1x2 or a 1x3 fashion with a minimum of dead space, the external dimensions being 75 cm wide, 115 cm long, and 195 cm high.

The invention discloses a sea transportation network security evaluation method and model based on hybrid weight and inverse distance center aggregation, and the method comprises the steps: obtaining network data and security impact factors of a sea transportation network, calculating the importance of each node in the sea transportation network, and calculating each network evaluation index in a multi-level evaluation system; constructing a security level division reference of the network, and dividing the network into a high security level, a middle security level and a low security level; screening out independent evaluation indexes based on the variance expansion factor, carrying out standardization processing, and constructing a standardized data set; respectively processing the standardized data set by using variance analysis and a random forest model based on the divided security levels, and carrying out weighted fusion on processing results to obtain comprehensive weights of the independent evaluation indexes; calculating a dynamic safety score of each independent evaluation index by adopting an inverse distance dynamic mapping mechanism based on the divided safety level and the standardized data set; and constructing a weighted aggregation model to summarize the dynamic security score and the mixed weight of each independent index, and outputting the overall security score of the marine transportation network.

The invention relates to the technical field of transformers, in particular to a transformer transportation protection device and method for marine shipment.The device comprises a transportation box body, a protection assembly, a sensing assembly and an adjusting assembly; a containing cavity is formed in the transportation box body, a supporting frame is installed in the containing cavity, and the supporting frame is used for containing a transformer to be transported; the protection assembly is used for forming basic protection on the transformer to be transported from the dimensions of physical isolation, buffering and salt mist prevention; the sensing assembly is used for monitoring environment data in the containing cavity, receiving marine transportation data and uploading the data to the upper computer. The upper computer is used for receiving and processing the environment data and the sea transportation data to obtain a control instruction and feeding back the control instruction to the adjusting assembly; the adjusting assembly is used for adjusting the environment in the containing cavity according to a control instruction fed back by the upper computer. According to the invention, the technical problems of insufficient protection, monitoring deficiency, difficult adjustment and the like in the transportation process of the existing marine transformer can be solved.

The invention relates to the technical field of container remote monitoring and management, in particular to a container intelligent remote monitoring and management system which comprises a container intelligent sensing module, a remote control platform, an intelligent algorithm module, a container position tracking module and a sea transportation document digital management module. The position, the internal environment state and the physical safety of the container are monitored in real time, abnormal conditions possibly occurring in the transportation process can be actively recognized and predicted, early warning is given out in advance, an operator can convert passive emergency treatment into active risk intervention, the risks of cargo damage, deterioration and loss are reduced, and the safety of the container is improved. According to the method, mass data can be analyzed, regional transportation demand fluctuation can be accurately predicted, an optimal transportation path is dynamically planned for a single container or multiple containers, manual processing links and paper document dependence are reduced, and problems caused by document errors, delay or loss are avoided.