34 results about "Transportation industry" patented technology

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 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 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.

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.

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.

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 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.

This invention relates to the field of safety protection technology for industrial lifting slings used in factory lifting and logistics transportation. Existing industrial lifting slings are frequently cut or severed by components, posing significant safety hazards and wasting resources. This invention is simple, convenient, and low-cost to manufacture, allowing for mass production and widespread marketability. The invention involves embedding appropriately sized strong magnets into a 90-degree angle steel of a suitable length. During use, the magnets adhere to the component, protecting the lifting sling and greatly ensuring safety while reducing wear and tear. This invention can be used in manufacturing industries and truck transportation industries that consume large quantities of lifting slings.

The present application belongs to the field of bridge and culvert engineering quality detection technology in transportation industry. Based on the method for quickly evaluating the bearing capacity of continuous beam by the area of bending moment influence line of arbitrary section, the method firstly adopts a vehicle with known axle load, axle distance and axle number as a loading vehicle, sets the weight P1 of rear axle I, the weight P2 of rear axle II and the weight P3 of rear axle III; then constructs the effect function of bending moment at arbitrary section x changing with the moving vehicle; finally, the integral value of the effect function of bending moment at section x changing with the moving vehicle under the same condition is taken as the numerator, and n is 0-1; the ratio of the integral value of the effect function of bending moment at section x changing with the moving vehicle under the same condition to the denominator is less than 1, which indicates that the bearing capacity of the bridge meets the requirements. The present application can improve the detection precision and efficiency of existing bridge load and reduce the cost of manpower and material resources.

The application discloses an ABS composite material and a preparation method thereof, and belongs to the technical field of extruded sheets; the ABS composite material comprises the following raw materials in parts by mass: ABS resin 59-79 parts, a flame retardant 15-25 parts, a synergistic flame retardant 5 parts, mineral powder 5-15 parts and a processing aid 1 part. The ABS composite material has the performances of flame retardation, high toughness and high oxygen index, the preparation method is simple and easy to implement, and the ABS composite material is easy to process, and is very suitable for popularization and application in the fields of household appliances, electrical instruments, the building industry, the transportation industry, the security industry and the like.

The invention discloses a truck type discrimination method, device and equipment and a storage medium. Comprising the following steps: acquiring track data of a truck and a snapshot image of a highway network camera; generating a matching list of the vehicle, the camera and the path time based on the trajectory data and the position information of the camera; based on the matching list, screening out vehicle images of the same vehicle in a plurality of cameras; and inputting the vehicle image into a pre-trained vehicle type classification model to obtain a discrimination result of the truck type. The invention relates to a method for automatically identifying and updating the type of a truck by using a truck Beidou positioning track and highway network monitoring video data, which is used for solving the problem of untimely and inaccurate updating of vehicle type information caused by frequent change of a tractor in the logistics transportation industry, and can realize batch updating of the vehicle type information.

The application provides a hazardous chemical vehicle abnormal behavior detection method based on multi-view spatiotemporal data mining, which comprises the following steps: collecting multi-view data information of vehicles entering a toll station area through a physical perception layer device; transmitting the multi-view data information collected by the physical perception layer to a computing service layer through a network transmission layer; receiving and processing the multi-view data information by the computing service layer to obtain multi-view time series data of the vehicles; constructing the multi-view time series data of the vehicles in a fractional domain based on a fractional Fourier transform; identifying vehicle abnormal events through a multi-view spatiotemporal data mining model based on the multi-view time series data of the vehicles in the fractional domain; and performing an alarm pushing operation after detecting the vehicle abnormal events by a business application layer. The application can detect the abnormal behavior of hazardous chemical vehicles in the toll station area of the expressway, discover and prevent risks in time, thereby improving the safety management level of the transportation industry and improving the transportation efficiency and safety.

The embodiment of the invention discloses a service path determination method and device, electronic equipment and a storage medium. The method comprises the following steps: determining candidate service paths from a path node network model according to path nodes of different attribute types in a common service path and starting and ending points corresponding to a current service; for each to-be-determined node link in the candidate service path, determining dynamic transportation information according to a real-time risk parameter of the to-be-determined node link, an attribute type corresponding to a to-be-determined node in the to-be-determined node link and road section attribute information corresponding to the to-be-determined node link; and determining a total transportation risk score corresponding to the candidate service paths according to the dynamic transportation information of all the to-be-determined node links and the vehicle loss parameters corresponding to the candidate service paths, and determining a target service path from the candidate service paths according to the total transportation risk score. According to the method, paths and path nodes which are commonly used by transportation business personnel and are relatively familiar can be selected for the business path of the current business, and more convenient and comfortable transportation experience can be provided for users.

The application provides a route planning method for coal transportation, relating to the route planning technology in the field of coal transportation. It includes obtaining the starting point and ending point of the coal transportation route, collecting relevant geographic information data, and constructing a transportation cost model. This model not only covers basic elements such as transportation distance, road slope, and vehicle load, but also introduces risk coefficient and energy efficiency coefficient to more comprehensively measure the risk and energy efficiency changes in the transportation process. Through these data, the dynamic programming algorithm is used to optimize the cost model, and finally the optimal transportation route is generated. The application can effectively respond to the changing needs of different transportation scenarios, improve the efficiency and safety of transportation. In addition, it also considers the performance differences of different transportation equipment, and dynamically adjusts combined with real-time traffic information to ensure the optimal route selection under complex conditions, optimize the resource allocation and scheduling in the coal transportation process, and provide support for the development of the coal transportation industry.

This invention discloses an intelligent voice dispatch method for transportation service hotlines based on a large language model. The method includes: S1, constructing a semantic temporal recognition model containing convolutional neural networks and recurrent neural networks; the semantic temporal recognition model combines semantic features and temporal features to obtain a semantic temporal feature sequence; S2, constructing a transportation service knowledge base; using a pre-trained large language model to classify and extract the semantic temporal feature sequence according to consultation and answer services and work order dispatch services; for services identified as consultation and answer services, knowledge content from the transportation service knowledge base is filtered and retrieved, and voice data is generated through a voice encoder for answering and replying; for services identified as work order dispatch services, the content required for work order dispatch is extracted, and tasks are dispatched according to work order dispatch rules. This invention effectively improves the efficiency of interactive control and work order transmission, reduces the workload of business personnel, and significantly improves the service quality of the transportation industry.

The invention belongs to the technical field of informatization platform development, and more particularly relates to a full-configuration low-code development platform for the public transportation industry and an implementation method. The platform comprises a data model generation engine, a front-end model generation engine, an APP analysis engine, a metadata analysis engine, a visual business rule engine, a visual report tool and a low-code platform base. According to the platform, through a four-step standardized process of scene selection, page configuration, rule association and function release, a user is supported to generate a smart public transportation system function in a zero-code manner, and meanwhile, through modular design, collaborative optimization and a safety protection mechanism, the balance of functions, performance, flexibility and stability is realized. According to the method, the problems of contradiction between adaptability and development efficiency, imbalance between function extension and performance and conflict between demand change and system stability are solved.

The utility model discloses locomotive monitoring equipment for a railway shunting locomotive, belongs to the technical field of railway transportation, and solves the problems of low efficiency and poor safety in shunting operation in the railway transportation industry. According to the invention, a Beidou positioning circuit carries out real-time positioning on the position of a locomotive, obtains the real-time speed of the locomotive and sends a positioning signal and the real-time speed to a control circuit, and the control circuit sends out the received positioning signal and the real-time speed through a 4G communication circuit; the power supply circuit is used for supplying power to the audible alarm, the control circuit, the display screen, the Beidou positioning circuit and the 4G communication circuit; and the control circuit also sends the received positioning signal and the real-time speed to the display screen for displaying. The method is suitable for positioning the railway shunting locomotive.

The application provides a method for determining the shear bearing capacity of a complexly doped solid waste concrete beam, and relates to the technical field of bridge and culvert engineering in the transportation industry. The method can effectively measure the shear bearing capacity of the concrete under controlled experimental conditions by preparing a plurality of proportioned concrete beam samples and applying a systematic incremental shear load, can establish a dynamic model between the performance and construction behavior of the concrete by recording and analyzing the state of the cracks during the loading process, and can further optimize the proportion selection of the concrete by selecting the sample with the shear bearing capacity exceeding the expected value and optimizing the crack change trend.

The utility model provides a vehicle-mounted multi-source heterogeneous device. The vehicle-mounted multi-source heterogeneous device comprises a vehicle head calculation module, a vehicle head sensing module, a vehicle tail calculation module and a vehicle tail sensing module. A single vehicle-mounted sensing mode is upgraded to a plurality of sensing modes, and outputs of a plurality of sensing devices are gathered through the fusion unit and then uniformly output to the calculation unit, so that wiring between a sensing side and a calculation side is greatly simplified. In addition, the fusion unit shares part of sensing data of the vehicle head and the vehicle tail through a data bus, the comprehensive judgment capacity of the whole vehicle is further enhanced, the sensing capacity of the all-weather, all-scene and all-parameter rail transit industry can be improved, and rail transit operation safety is guaranteed. Besides, in order to guarantee the sensing safety of the intelligent traffic industry, sensing side isomerism and computing side isomerism are designed, the reliability of the product is guaranteed, and the availability of the product is improved.

1. The name of the design product: photoelectric liquid level sensor (RLG1022H1A). 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.

The invention relates to the technical field of logistics transportation, and discloses a simple logistics transportation vehicle capable of automatically adjusting the gravity center, comprising: a moving mechanism comprising a moving bottom plate and moving pulleys located below the moving bottom plate, the moving pulleys being symmetrically arranged; the collecting mechanism comprises an induction rotating shaft arranged on the movable bottom plate, an induction flywheel arranged on the induction rotating shaft and a connecting assembly arranged on the induction flywheel. And through the designed moving mechanism, collecting mechanism and adjusting mechanism, self-adaptive adjustment of the gravity center of the vehicle is achieved. The moving mechanism provides a stable moving foundation for the vehicle, the collecting mechanism can sense load changes in real time and transmit signals to the adjusting mechanism, and the adjusting mechanism flexibly adjusts the position of the balance sliding block according to the signals, so that the gravity center distribution of the vehicle is changed. The technical scheme has the advantages of simple structure, convenience in operation, low cost and the like, and is easy to popularize and apply in the logistics transportation industry.

The present application relates to the field of energy and environmental information technology, and more particularly to a traffic industry carbon emission multi-scale rolling prediction method based on deep learning, comprising: step 1, data preprocessing and sequence decomposition; step 2, rolling sample construction; step 3, CAWOA initialization; step 4, CAWOA iterative optimization, loop judgment process; step 5, component level BiLSTM training and rolling prediction; step 6, rolling judgment and information update; step 7, mode cycle and prediction output; step 8, mode reconstruction and result restoration. The present application can realize dynamic description and accurate prediction of the evolution trend of traffic industry carbon emission, and provide more realistic prediction basis for relevant emission reduction policy making.

The invention relates to a transportation industry carbon emission measuring and calculating method based on electric power big data, and the method achieves the high-frequency precise measurement and calculation of the transportation industry carbon emission through obtaining the data of transportation industry energy, economy and the like, and constructing the association relationship between the transportation industry electric quantity and the transportation industry energy and economy. The problems that in the traditional carbon emission measuring and calculating process of the transportation industry, the data hysteresis quality is high, and the accuracy needs to be improved are solved. Meanwhile, industry characteristic data of the sub-industries of the transportation industry are considered, carbon emission calculation of the sub-industries of the transportation industry is achieved in combination with a transportation industry electricity carbon analysis model result, and a transportation industry management department is assisted in formulating a carbon reduction strategy in a targeted mode.

The utility model relates to the technical field of transportation equipment, and discloses a double-connecting-rod eccentric shaft high-frequency vibration clay-preventing carriage which comprises a carriage bottom plate component, a vibration device and an anti-sticking lining plate, and the vibration device comprises a motor, two oval pipes, a plurality of bearings, a plurality of gears, two long connecting rods, two short connecting rods and a rhombic steel plate; the two oval pipes penetrate through the bearings and are welded and fixed through the oval pipe fixing pieces, and the outer sides of the bearings are welded to the carriage bottom plate component. The motor is installed on the outer side of the compartment. According to the high-frequency vibration anti-clay carriage with the double-connecting-rod eccentric shaft, due to the structural design of the double-connecting-rod eccentric shaft, the carriage can generate high-frequency and stable vibration, the vibration frequency is accurately matched with the earthwork vibration frequency, the resonance effect is formed, and the clay problem which puzzles the earthwork transportation industry for a long time is effectively solved; and it is ensured that earthwork can be rapidly and thoroughly unloaded, and the transportation turnover efficiency of the earthwork vehicle is greatly improved.