420 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 belongs to the technical field of sea transportation port congestion prediction, and relates to a port congestion prediction deep learning method based on ship AIS data. The core of the method is that two neural networks of Transform and LSTM are combined, a global sea transportation liner transportation network is integrated, and the constructed model can capture the temporal and spatial change characteristics of the port congestion state from a space angle and a time angle. According to the method, the prediction precision of the port congestion state can be effectively improved by combining the dependency relationship of space and time. The method provided by the invention is obviously superior to an existing learning-based method, can learn and efficiently capture the complex and potential space-time correlation of the port congestion state, and is good in effect and high in practicability. And a certain enlightenment is provided for a port operator to monitor the congestion state of the port in real time so as to improve the operation efficiency of the port.

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 provides an intelligent scheduling method and system applied to marine transportation assembled boxes, and the method comprises the steps: firstly obtaining a historical assembled box scheduling data set under a target marine transportation line, the historical assembled box scheduling data set comprises a plurality of scheduling sequences, and each sequence is composed of the initial position of an assembled box, a target port, cargo loading attributes, a historical path track and other characteristics; performing dynamic path feature extraction on the historical assembly box scheduling data set to obtain real-time environment association and path optimization features, and performing dynamic strategy matching on the real-time environment association and path optimization features based on a preset dynamic strategy matching network to generate a path labeling result; and finally, an optimization strategy set is generated according to a path labeling result and is used for training a dynamic strategy matching network to update parameters, so that intelligent and efficient scheduling of the marine transportation assembly box is realized.

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 TC path and intensity prediction method and device based on AI and physical characteristics and a medium, and aims to improve the short time scale prediction precision of the TC path and intensity, and through integration of a plurality of factors with definite physical significance, such as guide airflow, ventilation flow, vorticity, ocean surface temperature and the like, the TC path and intensity can be predicted. The physical factors are subjected to correlation analysis, regression analysis and the like, and it is ensured that the input factors have significant influences on TC paths and intensity changes. A plurality of AI models such as a convolutional neural network (CNN), a recurrent neural network (RNN), a multi-layer perceptron (MLP), a random forest (RF), a limit gradient boost (XGBoost) and a long short-term memory network (LSTM) are adopted to capture a complex nonlinear relationship between meteorological factors. In addition, by adopting a real-time feedback mechanism, new observation data are allowed to be dynamically input, model parameters are optimized, and the real-time performance of a prediction result is improved. The method is particularly suitable for the northwest Pacific Ocean region, has wide application prospects, and provides scientific support in the fields of meteorology, aviation, marine transportation and the like.

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 utility model relates to the technical field of ocean shipping, in particular to a wind power generation tower double-layer ocean shipping support device capable of stably supporting, which comprises a bottom frame, main frames are fixedly connected to two sides of the top of the bottom frame, and an adjusting and fixing mechanism is fixedly connected to the top of the bottom frame. Main frame strengthening mechanisms are fixedly connected to the two sides of the front side and the two sides of the rear side of the bottom frame, and mounting strips are fixedly connected to the two sides of the top of the bottom frame. Through cooperation of the U-shaped plate, the driving motor, the screw rod, the movable block plate and the supporting plate block, the adjusting and fixing functions are achieved, firstly, the driving motor is started through the controller to drive the screw rod to rotate, and due to the fact that the rotating directions of front threads and rear threads of the screw rod are opposite, the supporting plate block is driven by the movable block plate to move relatively to fix a tower barrel; the mechanism can be used for adjusting and fixing tower barrels of different sizes, large limitation of the support device can be eliminated, and therefore comprehensive development of marine transportation of the wind power generation tower barrels is facilitated.

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 utility model provides a ship unloader marine transportation loading and unloading system which comprises a ship loading wharf, a first roll-on roll-off rail is arranged on the ship loading wharf, the first roll-on roll-off rail is arranged in the first direction and used for bearing a ship unloader, and the length direction of the ship unloader is parallel to the first direction; a barge comprising: a hull; the second roll-on-roll-off rail is arranged on the ship body in the first direction and used for being in butt joint with the first roll-on-roll-off rail and bearing the ship unloader; the third roll-on and roll-off rail is arranged in the second direction and intersects with the second roll-on and roll-off rail; the berthing wharf is provided with a fourth roll-on-roll-off rail, and the fourth roll-on-roll-off rail is used for being in butt joint with the third roll-on-roll-off rail and bearing the ship unloader; the traction mechanism is arranged on the berthing wharf and used for dragging the ship unloader from the third roll-on-roll-off rail to the fourth roll-on-roll-off rail. The loading and unloading system provided by the embodiment of the utility model can be suitable for wharfs with short shorelines, low water depths and narrow channels, and reduces the work of dismounting and recovering structures on the wharfs.

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 belongs to the field of combinatorial optimization, and relates to a heuristic algorithm combined with global marine transportation network priori knowledge, which is used for solving a key port set problem in a global marine transportation network, and comprises the following steps: modeling a marine transportation network, modeling a marine transportation network cascade failure phenomenon, and carrying out optimization on the marine transportation network cascade failure phenomenon; a key port gathering problem of the marine transportation network is converted into a single-target optimization problem; a multi-population genetic algorithm framework is adopted, priori knowledge of the marine transportation network is fused into initial population generation of all sub-populations, and therefore initial sub-populations with high quality are formed; a simulated annealing mechanism is introduced in the algorithm iteration process to improve the algorithm performance and enhance the search capability. The method is superior to a current mainstream heuristic method and an index method on a sea transportation data set, and an effective reference is provided for stable operation of a sea transportation network.

The invention discloses an order logistics channel allocation quotation method, which can automatically select and match a quotation table according to orders and channels by setting four charging modes and formulas of full toll, semi-toll, timber volume and cube, efficiently and accurately calculate final logistics quotation, reduce manual errors and improve the efficiency. The quotation table covers different logistics channels, service grades, destinations and weight / volume intervals, accurately matches order demands, provides diversified choices such as air transportation, sea transportation and land transportation, meets individual demands, improves customer satisfaction, and reduces logistics cost and improves operation efficiency by comparing quotations and enabling customers to choose channels with highest cost benefits. A clear quotation table and formula enhance transparency, improve customer trust, set different service levels to encourage high-quality service, guarantee customer experience and enhance loyalty.

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 provides a block chain-based marine transportation logistics alliance stability improvement method, which comprises the steps of S1, constructing a three-party evolutionary game model among members of a marine transportation logistics alliance based on a block chain platform; s2, defining members of the marine logistics alliance, and constructing a revenue function of the alliance members; s3, solving a balance point of the tripartite evolutionary game model by using the replicated dynamic equation, and analyzing a game evolutionary path; s4, analyzing stability strategies of alliance members under different influence conditions according to the balance point; and S5, establishing a sea transportation logistics alliance benefit distribution model based on a block chain platform by using the corrected Shapley value method. According to the method, an evolutionary game model between marine logistics alliance members is constructed based on a block chain platform to dynamically analyze the alliance stability, a benefit distribution model is established by using a modified Shapley value method, and the model is embedded into an intelligent contract. The method can assist the marine transportation logistics alliance to realize intellectualized and fair benefit distribution among members, and effectively improves the stability of the marine transportation logistics alliance.

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 utility model relates to the technical field of batteries, and provides an energy storage container which comprises a container body, and in three directions of a first direction, a second direction and an up-down direction, the size of the container body in two of the directions is the same as the size of a standard container with a preset size. The size of the box body in the other direction is smaller than the size of a standard box with a preset size, and the preset size is 10 chi, 20 chi, 30 chi, 40 chi or 45 chi; wherein the first direction, the second direction and the vertical direction are perpendicular to one another. Under the condition that the size of the box body is not greatly changed, the weight of the box body can be reduced, the box body can be matched with conventional transportation and transfer equipment, and the transportation requirements of land transportation and / or sea transportation and the like are met.

The invention relates to a container tracking method and system, and relates to the technical field of marine logistics, and the method comprises the steps: collecting the basic data information of a container; determining container position information and container state information according to the basic data information; obtaining a logistics information request; and generating logistics feedback data based on the logistics information request, the container position information and the container state information, and sending the logistics feedback data to a management terminal corresponding to the container. The method has the effect of timely and accurately mastering the transportation condition of the goods.

The utility model discloses an A60 fireproof door for a marine ship, which comprises a left door leaf and a right door leaf which are respectively arranged on a door frame through hinges. The door frame, the left door leaf and the right door leaf are each of a structure formed by splicing a plurality of plates. The door frame, the left door leaf and the right door leaf are all filled with fireproof cotton, and fireproof rubber strips and JC rubber strips are additionally arranged. The fireproof door is applied to objects such as marine transportation energy storage containers. According to the utility model, the fireproof door can be used in severe working conditions on the sea through typical marine transportation parts; the fireproof door steel plate frame is filled with fireproof cotton to ensure that the fireproof grade is met; the door slot gap is reasonable, the fireproof door can be opened even if the fireproof door deforms while the airtightness is met, flame retardance and heat resistance are effectively achieved, and smoke is prevented from overflowing; the bottom end of the door lock is changed into a crescent lock head and a matched lock seat from a bolt type structure, so that the situation that the door is difficult to open due to deformation is further reinforced.

The invention provides a marine container position distribution method based on an attribute double-view stack learning network, and the method comprises the steps: 101, carrying out the coding of the attributes of containers through employing a hybrid coding method for comprehensively integrating the attributes of various containers, and obtaining initial embedded data; 102: performing sequential view stack state learning with a gated loop unit (GRU)-based aggregator using the initial embedded data to capture sequential patterns or sequential views between the containers; 103, using the initial embedded data, and adopting a double-view container aggregator to capture common characteristics of the container to obtain double views; 104, integrating the sequential view and the double views to obtain a final stack representation and performing scoring; and 105, performing robustness training based on the adversarial network to ensure the robustness and generalization ability of the model. The method can adapt to the inherent variability and complexity of real world operation, effectively improves the performance of container position distribution, and is of great practical significance.

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 invention discloses an intelligent border trade customs clearance remote declaration system based on a mobile APP, belongs to the technical field of trade customs clearance declaration, and solves the technical problem that an existing customs clearance declaration mode is low in efficiency. The system comprises an e-shore communication background management system which comprises a user management module, a content management module, an application system configuration management module, a message management module and a platform data statistics module; e, a shore communication assistant applet installed at the WeChat end; the e-shore communication APP comprises a port cooperation module which has the functions of on-site confirmation, customs declaration release query, check instruction query, enterprise trade statistics and enterprise cargo statistics; the commerce and trade communication module has the functions of vehicle record pre-collection, commodity customs clearance pre-collection, entry declaration, import declaration, external sales commodity declaration and exit declaration; and the marine transportation mutual market module is used for pre-collecting information of commodities purchased by frontiers and related information of transportation work, and has the functions of delivery, price list, pre-entry and settlement list.