66 results about "Transportation industry" patented technology

The invention discloses a traffic data security encryption and circulation system and method based on a block chain, belongs to the technical field of traffic control, and aims to solve the problems of security, privacy and trust in traffic data sharing. The system comprises an edge computing node which is deployed near a data source and is used for performing encryption or privacy enhancement processing on original traffic data; a block chain network with a smart contract is deployed, node identities are managed, verification information is recorded, an access strategy is stored, and data circulation is controlled; and the data processing unit is used for aggregating the processed data to generate a circulatory data product. The method comprises the steps of edge security processing, block chain management verification, product generation by the data processing unit and management and control circulation of the block chain according to a strategy. Through edge security processing and a block chain trust mechanism, data security privacy is guaranteed, safe, transparent and credible circulation and utilization of traffic data are realized, and reliable data support is provided for intelligent upgrading and digital transformation of the traffic industry.

The proposed invention relates to methods for controlling a motor vehicle, and can be used in transportation industry. The technical problem to be solved by the proposed invention is to provide a method, a device, a system, a motor vehicle, and a computer-readable medium that do not possess the drawbacks of the prior art and thus make it possible to generate an optimized track for a motor vehicle that provides a speed profile for a portion of the route, ensuring preferable energy and resource consumption, and time spent by the motor vehicle to pass the portion of the route, as well as minimizing the risk of not passing the portion of the route.

The invention relates to the technical field of charging scheduling, in particular to an expressway unmanned heavy truck intelligent charging system which comprises a data acquisition and preprocessing system and a vehicle pile network cloud integrated cooperative operation and green electricity source tracing carbon emission reduction module. Driving and charging strategies are optimized in combination with algorithms such as reinforcement learning, the energy consumption of the unmanned heavy truck can be effectively reduced, the transportation resource utilization rate is improved, and it is guaranteed that transportation tasks are efficiently completed in a time window; green power full-link traceability is realized based on the block chain technology, and the charging time is dynamically adjusted in combination with peak and valley electricity prices, so that the authenticity of use of green power is ensured, low-cost green power can be preferentially selected, and the charging and overall operation cost is remarkably reduced; the carbon emission in the charging and operation process is accurately quantified, the emission reduction benefit of a traditional heavy truck is scientifically evaluated, meanwhile, the method is in butt joint with a green logistics authentication system, support is provided for obtaining authoritative green authentication for transportation services, and low-carbon transformation of the industry is assisted.

The proposed invention relates to methods for controlling energy consumption by a motor vehicle, and can be used in transportation industry. The technical problem to be solved by the claimed invention is to provide a method, a device, a system, a motor vehicle, and a computer-readable medium that do not possess the drawbacks of the prior art and thus make it possible to generate a modified energy-efficient track based on a non-modified energy-efficient track, thus allowing to reduce the time needed to pass a portion of the route or to increase the time of useful operation of the vehicle.

A large-model question answering method and apparatus for the transportation industry, and a device and a storage medium, relating to the interdisciplinary field of artificial intelligence and information security. The method comprises: on the basis of a pre-constructed security knowledge base, retrieving a transportation-related question to be processed; when the obtained retrieval result indicates that there is no reply information corresponding to the transportation-related question in the knowledge base, determining, on the basis of a preset question security interception strategy, whether to currently trigger a question interception operation; when an obtained first determination result indicates that the question interception operation is not to be triggered, performing, on the basis of a preset prompt, question enhancement on the transportation-related question; on the basis of a pre-fine-tuned target large transportation model, processing the obtained enhanced question to obtain target reply information; and on the basis of a preset answer security interception strategy, determining whether to currently trigger a reply interception operation corresponding to the target reply information, so as to complete a question answering operation on the basis of an obtained second determination result. The security and accuracy of question answering can be effectively improved.

The proposed invention relates to methods for controlling energy consumption by a motor vehicle and can be used in transportation industry. The technical problem to be solved by the claimed invention is to provide a method, a device and a system that do not possess the drawbacks of the prior art and thus make it possible to generate an accurate energy-efficient track for a motor vehicle that allows to reduce energy consumption by the motor vehicle on the specific portion of the route. The objective of the claimed invention is to overcome the drawbacks of the prior art and thus to reduce energy consumption by the motor vehicle on the specific portion of the route.

The invention relates to the technical field of water transportation, and discloses a waterway transportation management method and system, electronic equipment and a readable storage medium. In the method, in response to assignment information sent by a cargo owner, a carrier undertakes a transportation service of a cargo corresponding to the assignment information; the carrier sends offer information of the water transportation goods to the ship owner; in response to commitment information sent by the ship owner in response to the offer information, the carrier electronically signs a contract for the transportation service based on the commitment of the ship owner, and the carrier or the ship owner establishes a waybill for the transportation service; the carrier sends a cargo transportation notice to the signed ship owner, or the carrier sends the cargo transportation notice to the cargo owner and the signed ship owner; wherein the cargo transportation notice is the cargo corresponding to the water transportation service. According to the technical scheme of the invention, quality control, transport capacity resource integration and data monitoring can be carried out on the operation process of the cargo transportation service, so that multi-chain and multi-link digital management of the cargo transportation service operation is realized, and the method is an effective waterway transportation management means.

1. Name of the product in this design: Long row warning signal light (65L type). 2. Purpose of this design: It is used in the transportation industry, mainly installed on the exterior of vehicles, and can emit sound and light signals to serve as a warning. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. Other situations requiring explanation: The rear view is symmetrical to the front view, so the rear view is omitted; the right view is symmetrical to the left view, so the right view is omitted.

This image is for a driver log management system used in the transportation industry. When a user enters conditions such as date, driver name, and group name in the "search condition input area" and presses the search button, the results of the compliance check of the operation information and driver logs of drivers that match the conditions are displayed in a list format in the "search result display area". This allows the user to check at once whether the driver logs of multiple drivers meet the prescribed standards and easily identify any deficiencies.

The invention provides an urban circle traffic demand prediction method based on a super network. The method comprises the following steps: constructing a multi-level, multi-attribute and three-dimensional interconnected super network covering highways, subways and railways in an urban circle; constructing a multimode generalized cost function based on the super network; dividing a comprehensive traffic zone, generating a passenger transport demand starting point and terminal point OD matrix, and constructing a travel mode division model considering multimode generalized cost and environmental influence; and based on the travel mode division model, traffic flow distribution is carried out by using a user balanced traffic flow distribution algorithm based on a quasi-Newton method, and a traffic flow prediction result of the urban circle is obtained. According to the method, a solution is provided for efficiently constructing a digital base of a traffic transportation industry vertical domain large model, improving the traffic mode division precision and the like, the bottleneck restricting the improvement of urban circle travel efficiency can be deeply analyzed based on the traffic demand prediction result, and policy suggestions are provided for constructing an efficient urban circle traffic transportation system.

1. The name of the design product: long row warning signal lamp (67L type). 2. The use of the design product: applied to the transportation industry, mainly installed on the outside of the vehicle, which can emit sound and light signals to play a warning role. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective view. 5. Other circumstances that need to be explained: the top view and the bottom view are symmetrical, and the top view is omitted; the right view and the left view are symmetrical, and the right view is omitted.

The present invention relates to the technical field of video analysis means, and specifically, to a method for real-time multi-target tracking of passengers in a terminal. This method is based on video surveillance data in the terminal, with passengers as the main tracking objects, and aims to complete real-time multi-target tracking in the terminal scenario. Secondly, the proposed multi-target tracking method can analyze the surveillance video in the terminal in real time and accurately track multiple passengers. This technology not only improves monitoring efficiency, such as being able to count passengers in real time and set early warning broadcasts, but also optimizes passenger flow lines, reduces congestion, and thus enhances the overall travel experience of passengers. Combined with the current aviation transportation industry's growing demand for safety and efficiency, this method will provide airport management departments with strong data and technical support, enabling them to respond to emergencies in a timely manner on the basis of real-time monitoring, and enhance the level of intelligence in airport operations.

The invention relates to the technical field of logistics intelligent management, and particularly discloses a large logistics cognitive collaborative management system which is constructed based on AI and an industrial internet platform and is provided with an edge layer, a platform layer, an engine layer and an application layer. The edge layer is constructed based on an IT system, OT equipment and manual filling of the logistics transportation industry, and corresponding data acquisition capability is activated according to a received data request; the platform layer starts a corresponding data processing flow according to the received task instruction; the engine layer performs analysis, identification and task planning processing on the received request, and performs intelligent analysis processing on the received data; and the application layer analyzes the received user request and outputs the received data result. According to the invention, the IT system and the OT equipment in the logistics transportation industry are integrated, intuitive and efficient cognitive collaborative management can be formed for large logistics, and a timely, comprehensive and accurate data support basis is provided for business and technical decisions of enterprises.

1. The name of the design product: photoelectric liquid level sensor (RLG1224Q1A). 2. The use of the design product: the design product is mainly used in the production, storage and transportation process of various liquid tanks and tanks in chemical industry, petrochemical industry, chemical fiber industry, chemical fertilizer industry, food industry, pharmaceutical industry, transportation industry and military industry. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

This patent application focuses on developing innovative methods and systems for calculating and analyzing transportation and freight costs. Its aim is to provide solutions that enable more efficient and effective calculation and analysis of transportation and freight costs. This system, with a wide range of applications, covers both freight an shipping charge calculations. The transportation cost calculation includes processes of calculating transportation cost, freight cost, and analyzing these costs. Shipping charge calculation, on the other hand, comprises processes of calculating and analyzing freight and freight rates. This application is designed to standardize and optimize cost calculation and analysis processes in the transportation industry

The application discloses a port cargo real-time monitoring intelligent scene adaptation method based on sparse representation, which comprises the following steps: arranging wireless signal transmitters and receivers outside the cargo box, the signal transmitters emit wireless signals of specific frequencies to the cargo box, and the signal receivers receive the signals transmitted out after the cargo, obtaining the quantitative data of the shielding effect of different types of cargos on radio waves and the labels of the cargo types, and through analyzing the characteristics of the received signals, the sparse representation technology is used to match the pre-established signal dictionary of the cargo types, so that the types of the cargos can be accurately identified. The application creates a signal feature dictionary representing different cargo types, each cargo type corresponds to a specific signal mode in the dictionary, the system compares the received signals with each signal mode in the dictionary, and determines the specific type of the cargo based on this. The method can efficiently classify cargos, eliminate manual opening and inspection in the traditional method, reduce the dependence on manual operation, and has high recognition accuracy and reliability, and is especially suitable for the logistics and transportation industries which need to automatically identify and classify a large number of cargos.

1. Name of the product in this design: Power Module. 2. Application of this design: This design is intended to power various products in the fields of semiconductor manufacturing equipment, measuring devices, new energy products, servers, and other industrial equipment, as well as medical, communication, and transportation industries. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

1. Name of the design product: automobile tail lamp (JT fourth generation type). 2. Use of the design product: used in the transportation industry, mounted on the tail of an automobile, and can indicate the existence of a car in front of the car when driving at night. 3. Design points of the design product: the combination of shape and pattern. 4. Picture or photo that best indicates the design points: perspective view.

1. The name of the design product: ton bag convenient for transportation and handling. 2. The use of the design product: the design product is mainly used in the logistics transportation industry. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The invention is applicable to the technical field of KD export piece box splicing, and provides a box splicing method for KD export piece box splicing, which optimizes the spatial layout and improves the utilization rate by integrating the total data of standard large pieces, KD piece cartons and all levels of containers and combining intelligent technologies such as a single container box splicing strategy, a greedy algorithm and dynamic adjustment of column height; a dynamic regularization algorithm and a pole algorithm are adopted in the third-stage box splicing stage, accurate utilization of container space and accurate positioning of goods are achieved, and the box splicing efficiency is remarkably improved; meanwhile, by means of the intelligent stacking strategy, multi-angle rotation adaptation, preferential fork entering direction selection and other measures, goods damage and transportation risks are effectively prevented; and the recursion formula is used for calculating the coordinates of the insertion points, and a space verification mechanism and a weight balance factor are introduced, so that the box splicing compliance and safety are ensured, the center-of-gravity shift is limited, the transportation stability is ensured, and a safe, convenient and efficient box splicing solution is provided for the logistics transportation industry.

The utility model relates to the technical field of electrified railway contact networks in the traffic transportation industry, in particular to a bird repelling shoulder frame device for traffic transportation, which comprises a shoulder frame body, the shoulder frame body comprises a triangular hollow pipe, a pin header, an inverted T-shaped bolt and a nut, and the section of the triangular hollow pipe is a right triangle with a right-angle side horizontally placed. A plurality of pin headers in the vertical direction are evenly distributed at the vertex angle of the triangular hollow pipe, a cutting groove is formed in the horizontal bottom face of the triangular hollow pipe in the length direction, a T-shaped head of the inverted-T-shaped bolt is arranged in the triangular hollow pipe, a threaded rod of the inverted-T-shaped bolt penetrates out of the triangular hollow pipe from the cutting groove, and the nut is connected to the threaded rod of the inverted-T-shaped bolt. According to the bird repelling shoulder frame device for the overhead contact system additional wire, the problems of bird falling and nesting on a railway operation line shoulder frame are solved, various short-circuit tripping faults, caused by bird damage, of the overhead contact system are effectively avoided, the safety and reliability of an overhead contact system are improved, and the workload of a railway operation and maintenance department is reduced.

The invention belongs to the technical field of airport data transaction, and discloses an airport data transaction processing method and system based on trusted space and privacy calculation. The method comprises the following steps: constructing a trusted space of hardware-level security isolation and distributed consensus, integrating airport multi-source heterogeneous data by adopting an ETL tool, desensitizing sensitive fields, generating compliance data products, and finishing asset right confirmation chaining through an intelligent contract; realizing cross-airport model joint training by using a federated learning architecture, and realizing cross-mechanism data aggregation by using secure multi-party calculation and a TEE engine; after the Hash binding relation between the data and the secret key is verified, the encrypted data access permission is released, the transaction and calculation result is verified in real time through the improved PBFT algorithm, and tracing and risk early warning of full-link operation are achieved. According to the method, the airport public data can be efficiently and credibly circulated on the premise of privacy protection, the value release of the airport public data is promoted, and the collaborative development of an air transportation industry chain is promoted.

This invention relates to onboard hot-water-storage-based power systems for vehicles. In this system, sufficiently high-temperature water is stored onboard an automotive vehicle, and thermal energy it contains is converted into mechanical work via a heat engine to propel the vehicle without combustion. Hot-water-powered vehicles offer a truly renewable and clean transportation solution and represent a nature-based strategy (MBS) for addressing global warming. Beyond conventional road vehicles, the hot-water power system is also applicable to off-road and specialized platforms, including agricultural machinery, short-haul marine vessels, construction and mining equipment, and rail transportation. Given that the transportation sector is a major contributor to global greenhouse gas emissions, hot-water-based vehicles are envisioned as a transformative path toward long-term sustainability, with substantial positive impacts on both the environment and the broader transportation industry.

The invention relates to the technical field of logistics transportation industry, in particular to a loss assessment method and system based on a multi-modal large model, an AI Agent and an RAG. Although simple image recognition or a rule engine is used for loss assessment in a claim settlement loss assessment process for abnormal conditions such as goods damage and loss in the traditional logistics transportation industry, the intelligent degree is low, and ever-changing actual cases are difficult to deal with. The loss assessment system comprises a front-end application layer, an API gateway layer, a core processing engine layer, a capability component layer and a data and infrastructure layer, and the loss assessment method mainly comprises the steps of case input and evidence uploading; a step of task triggering and Agent scheduling; and a step of RAG knowledge enhancement. According to the method, the efficiency is greatly improved, the judgment standard is unified, the decision process is transparent and traceable, evolution and learning are continued, and the whole system is more intelligent through the RAG mechanism.

The proposed invention relates to methods for controlling energy consumption by a motor vehicle, and can be used in transportation industry. The technical problem to be solved by the claimed invention is to provide a method and a non-transitory computer-readable medium that do not possess the drawbacks of the prior art and thus make it possible to generate an accurate resource-efficient track for a motor vehicle that allows to reduce energy consumption by the motor vehicle moving along a highway, including as part of a convoy.

The invention relates to a transportation process timeout monitoring and alarming system based on an Internet of Vehicles technology and a design method thereof, and solves the problems of untimely management, large manual troubleshooting workload and incomplete supervision in the prior art. The system comprises a mobile terminal intelligent alarm APP, a vehicle-mounted integrated alarm display system and a cloud intelligent alarm management system. According to the design method of the system, unnecessary alarm triggering caused by data fluctuation, temporary abnormity or sensor false alarm is reduced through a denoising strategy, so that the effectiveness of alarm and the credibility of a user are improved, and the design method specifically comprises the following steps: 1) a time window smoothing method; 2) repeatedly alarming and filtering; 3) intelligent learning and self-adaptive threshold value; 4) a dual-acknowledgement mechanism; and 5) performing user feedback circulation. According to the invention, real-time, comprehensive and intelligent supervision of the vehicle transportation process is realized, the supervision efficiency and comprehensiveness of the vehicle transportation process are improved, and the safety and operation efficiency of the transportation industry are further improved.

1. The name of the design product: car tail light (JL thin). 2. The use of the design product: mainly used in the transportation industry, it is installed at the tail of the car, which can prompt the existence of the car in front of the rear car at night, and can show the positional relationship between the two cars, also has the functions of wide light, brake light, turn signal, emergency light, etc. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best shows the design points: perspective drawing.

The present invention relates to a power source for electric vehicles, which may be used in the transportation industry. An object of the present invention is to reduce the risk of damage to the electronic components of an electric vehicle during operation of a modular battery (100, 200, 300, 400). This object is achieved due to the fact that the modular battery (100, 200, 300, 400) of the electric vehicle enables a control unit (110, 210, 310, 410) to execute traction motor inverter capacitor precharge logic.

The invention relates to a business management analysis method and system based on artificial intelligence, and relates to the field of intelligent business management.The method comprises the steps that area image information of a preset detection area is collected; when the regional image information contains a preset cargo loss feature, performing feature extraction from the regional image information to determine a current transportation cargo feature; determining the current transported cargo based on the current transported cargo characteristics; matching a loss processing method according to the currently transported goods; and processing the transported and lost goods according to the loss processing method. The method has the effect of improving refinement and high efficiency of transportation business exception management.

The invention discloses a stable rubber asphalt material analysis method, and relates to the technical field of asphalt materials and data analysis in the transportation industry, and the method comprises the following steps: carrying out a first group of high-throughput tests on a stable rubber asphalt material to obtain cross-scale characteristic data of the stable rubber asphalt material; performing a second group of high-throughput tests on the stable rubber asphalt material to obtain digital image data of the stable rubber asphalt material; according to the cross-scale feature data and the digital image data, extracting a relation model between the structure and the performance in the stable rubber asphalt material; verifying the relation model, and optimizing the relation model according to a verification result; and analyzing the stable rubber asphalt material according to the optimized relation model. With the adoption of the method, the key problem of high-throughput characterization and analysis of the stable rubber asphalt material can be more comprehensively and systematically constructed through intersection and fusion of multi-field technologies.