117 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 discloses a super-efficiency SBM model-based traffic transportation industry operation efficiency evaluation method. The method at least comprises the steps of collecting input data, environmental influence data and output data corresponding to a region needing traffic transportation industry operation efficiency evaluation; preprocessing the input data, the environmental influence data and the output data; constructing a super-efficiency SBM model for evaluating the operation efficiency of the transportation industry; on the basis of the preprocessed input data, environmental influence data and output data, the operation efficiency of the transportation industry in the region is evaluated through a constructed super-efficiency SBM model; and making decision suggestions based on the evaluation result. The system has the advantages that multi-dimensional information such as energy input, environmental influence and expected output can be systematically integrated, the real efficiency level of the transportation industry in the aspects of energy utilization and environmental protection is accurately measured, and scientific and reliable data support and decision basis are provided for government departments, traffic enterprises and research institutions.

The invention discloses a traffic industry carbon reduction method and system based on multi-Agent-SD decision model simulation, and relates to the technical field of urban traffic, and the method comprises the steps: obtaining a historical data set of the traffic industry in a to-be-researched region; processing the historical data set, and dividing the historical data set into a training data set and an inspection data set; constructing a multi-Agents-SD decision model, performing comparative analysis on simulation data simulated by the training data set and the test data set, and calibrating parameters of the multi-Agents-SD decision model; corresponding parameters are designed according to different development situations, the adjusted parameters are input into the multi-Agent-SD decision model for simulation, a differentiation result is obtained, and then the traffic industry carbon reduction strategy is obtained. According to the method, the advantages of the two models are combined, the multi-Agents model for exploring micro individual behavior changes and the SD model for a macroscopic complex system are combined, and a more suitable traffic carbon reduction scheme is researched from multiple angles.

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 invention provides a carbon transaction method and system for the transportation industry, and the method comprises the following steps: dividing the transportation modes of the industry into land transportation, air transportation and waterway transportation according to the comprehensiveness of the transportation industry; respectively carrying out carbon emission accounting on the three types of transportation modes; summarizing land transportation, air transportation and waterway transportation to calculate the total carbon emission amount of the enterprise; a carbon emission accounting model is constructed, and the total carbon emission amount of each enterprise is calculated; each enterprise allocates the carbon quota according to the allocation proportion; carbon quota transaction: dynamically collecting demand and supply conditions of the buyer and the seller by adopting a principle of combining bilateral auction and dynamic pricing, and jointly determining a final transaction price by the buyer and the seller; identity verification of the buyer and the seller is completed in the transaction process, the transaction is executed through an intelligent contract, and carbon quota transfer and fund payment are achieved. And recording the transaction data in a database in real time. According to the invention, a more accurate, transparent and sustainable operation mechanism is constructed for carbon transaction in the transportation industry.

To efficiently determine the causes of logistics work accidents, such as accidents occurring during receiving, storing, and sorting at automated logistics bases in the transportation industry.SOLUTION: A system is composed of a cloud server, a WEB server, camera equipment, sensor equipment, a determination function, and various terminals to determine the cause of a logistics operation accident such as an accident at the time of receiving, storing, and sorting at a logistics base. Information on the identified cause of the accident is sent to the responsible person, remote monitors, and workers to improve the cause of the accident, and to utilize the logistics operation accident cause determination system for quick work recovery.SELECTED DRAWING: Figure 1

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.

The invention relates to the technical field of carbon emission management, and particularly discloses a traffic transportation industry carbon emission management system based on the Internet of Things, and the system comprises an acquisition module which divides a road into road segments, and continuously collects the illegal behavior data of non-motor vehicles on the road segments through an Internet of Things sensing device; the aggregation module is used for dynamically aggregating the violation behavior data of the road section and generating a comprehensive violation strength index of the road section in a continuous time period; the dividing module is used for dividing the road sections into different risk levels based on the comprehensive violation intensity index and in combination with the phase data of the traffic signal lamp at the current moment; and the recommendation module is used for recommending a path with the lowest total risk value according to a motor vehicle navigation request obtained in real time, dynamically receiving a non-motor vehicle real-time movement track uploaded by the Internet of Things sensing equipment in a navigation process, and triggering re-evaluation of a path risk level and real-time adjustment of a navigation path. The carbon emission in the highway transportation process is reduced.

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 discloses a multi-energy complementation zero-carbon service area construction method, and relates to the technical field of multi-energy complementation, and the construction method comprises the steps: selecting an optimal construction address based on the topographic data of a research area, evaluating the carbon emission at the optimal construction address in combination with the energy consumption prediction, and generating a zero-carbon construction scheme through the carbon emission; on the basis of the zero-carbon construction scheme and climate conditions, designing a construction scheme of the zero-carbon service area at the optimal construction address, and constructing the zero-carbon service area according to the construction scheme; the operation data of the zero-carbon service area is acquired by using a sensor, and control logic is generated based on the operation data to adjust the operation state of each energy facility so as to realize the purpose of multi-energy complementation. According to the invention, the energy utilization efficiency is improved, the carbon emission is reduced, the self-management and optimization capability of the service area is enhanced, and a new thought and technical support are provided for green development of the traffic transportation industry.

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 proposed invention relates to methods for controlling energy consumption by a motor vehicle, and can be used in transportation industry. 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 an accurate adjustment energy-efficient track for a motor vehicle that allows to reduce energy consumption by the motor vehicle on the specific portion of the route, as well as to return the vehicle in operation, after an emergency and / or unexpected stop, back to moving in accordance with the main energy-efficient track.

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.

The present invention relates to a vehicle transportation audit and scoring method and system. The vehicle transportation audit and scoring system includes a cloud server for performing intersection analysis, speed analysis, and smoothness analysis to generate key features such as the intersection turning ratio, the number of intersection turning ratios without stopping, the average minimum turning speed, the duration of sudden deceleration, the duration of sudden acceleration, the duration of speeding, the speeding ratio, the average maximum speeding, the proportion of heavy throttle, the number of vehicle body forward tilts, the number of vehicle body backward tilts, the number of vehicle body side tilts, and the number of vehicle body vibrations. A supervised learning scoring process is then executed based on the key features to generate an audit score. This system provides automobile transportation operators with a way to manage drivers, avoid subjective human judgment, and audit and evaluate drivers' driving behavior in an objective and efficient manner.

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. The name of this design product: Automobile taillight (JT fourth generation model). 2. Application of this design product: It is mainly used in the transportation industry. It is installed at the rear of a car and can remind the rear car of the presence of a car in front when driving at night. It can also show the positional relationship between the two cars. It also has the functions of width indicator light, brake light, turn signal, emergency light, etc. 3. The key design point of this design product lies in the combination of shape and pattern. 4. The picture or photo that best illustrates the design points: three-dimensional picture. 5. Other situations that require explanation Other explanations: The area indicated by Part A is made of transparent material.

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.