196 results about "Trunk line" patented technology

The invention discloses a power transmission line fault positioning method and system based on ground potential end transient information perception, and relates to the technical field of line fault positioning, and the method comprises the steps: obtaining a voltage traveling wave signal and a current abrupt change rate signal detected by a trunk line and branch node sensor array in a power transmission line; processing the voltage traveling wave signal and the current abrupt change rate signal to obtain traveling wave components and polarity-amplitude calibration results of different modes; according to traveling wave components and polarity-amplitude calibration results of different modes, in combination with topological parameters of the power transmission line and spatial distribution of a ground potential end sensor, adjusting edge weights or connection relationships in the graph structure to obtain a composite feature matrix and an edge weight matrix of each node; and inputting the composite feature matrix and the edge weight matrix of each node into a graph neural network positioning model, and outputting a power transmission line fault positioning result. According to the invention, through ground potential end information fusion and the dynamic graph neural network, accurate fault positioning under a complex power transmission topology is realized.

The invention relates to a vision-semantic collaborative perception method and system for an automatic driving vehicle. Comprising a visual-semantic feature coding module and a visual-semantic feature fusion module. The visual-semantic feature encoding module comprises a text semantic encoder and a visual space-time encoder; a visual space-time encoder extracts single-frame semantic and structural features based on a 2D visual encoding model, and a 3D visual encoding model is adopted for modeling to form 3D frame-level fusion visual perception features; and the visual-semantic feature fusion module comprises a time converter, a cross converter and a context enrichment converter, and is used for adaptively adjusting a fusion weight based on a dynamic weight fusion strategy to generate required visual-semantic feature fusion information. According to the invention, the multi-modal weight is automatically adjusted, the environment perception error and decision delay are reduced, the adaptability and response precision of the automatic driving vehicle to the trunk line logistics complex traffic scene are improved, and the safe and stable operation of the intelligent driving system in the complex road environment is ensured.

The invention relates to the technical field of communication, in particular to a dynamic service scheduling method for a 5G new call based on intelligent semantics, which realizes efficient scheduling of 5G call services through three core steps of multi-operator fusion access, dynamic routing distribution and intelligent voice interaction. According to the method, a unified SIP trunk line integration platform is constructed, and network resources of three major operators are integrated; respectively designing routing strategies for low-concurrency and high-concurrency scenes from the dimensions of network quality, cost rate, compliance, link load and the like, and dynamically optimizing path selection through a weight algorithm; and intelligent analysis and interaction of voice semantics are realized by combining ASR, TTS and NLP engines. According to the method, the problems of cross-operator routing optimization, high-concurrency processing and compliance management are solved, and the method is suitable for scenes with high requirements on stability and compliance, such as finance and government affairs.

The invention discloses an urban trunk network-oriented reconfigurable quantum communication route synchronization system, which relates to the technical field of quantum communication and comprises a quantum channel state sensing module, a clock offset prediction and registration module, a reconfigurable route planning engine, an entangled state registration and regulation module, a synchronization instruction scheduling module and an optimization module. According to the system, de-coherence time, entanglement fidelity and synchronous offset risk of a quantum link are sensed in real time, a quantum link feasibility scoring graph is generated in combination with a graph neural network, and an optimal entanglement forwarding path is output according to the quantum link feasibility scoring graph; meanwhile, the width and rhythm of a transmission window are dynamically adjusted based on task priorities and network loads, and cross-node high-precision synchronization and resource coordination are achieved; a routing and synchronization strategy can be continuously optimized by introducing a communication performance evaluation model and a feedback learning mechanism; according to the invention, the stability of the quantum communication system in a complex urban network environment is significantly improved.

A method may include, at a control system, receiving a trip request specifying an origin boarding zone and a destination boarding zone, determining a path for the trip request, the path extending from the origin boarding zone and along at least a portion of a trunk lane of a roadway system, assigning the trip request to a vehicle, determining, based at least in part on a location of a parking spot where the vehicle is parked at the origin boarding zone, an estimated transit duration of the vehicle from the parking spot to an entrance to the trunk lane, selecting, based at least in part on the estimated transit duration, a moving position-target from a set of candidate moving position-targets, and causing the vehicle to travel from the parking spot to the trunk lane and travel along the portion of the trunk lane by following the selected moving position-target.

The invention provides a trunk line green wave control method for dynamically adjusting green light duration based on real-time sensing data, and relates to the technical field of green wave control, and the method comprises the steps: obtaining a fusion feature set at each intersection of a trunk line; determining an initial green wave period, an initial phase difference and an initial green light duration; a continuous passing zone is formed; dynamic compensation is carried out on the steering phase green light duration, and linkage correction is carried out on the steering phase green light duration and a straight-going phase adjustment result; the pedestrian phase is incorporated into the phase structure of the current period in an insertion mode, and timing calibration with the next period is executed; performing micro-amplitude correction on the phase difference of the adjacent intersections to obtain a phase difference reference distribution scheme; periodically evaluating the control effect to obtain a green wave period reference value; and performing adaptive updating on the green wave period reference value and the phase difference reference distribution scheme. According to the invention, the technical problem of low trunk line green wave control efficiency in the prior art can be solved, and the technical effect of improving the trunk line green wave control efficiency is achieved.

The invention belongs to the technical field of emergency material multimodal transport scheduling, and particularly relates to an emergency material multimodal transport scheduling optimization method considering risk sensitivity, which comprises the following steps of: A, constructing an emergency material multimodal transport network in which a trunk line and a tail end are coordinated, mapping trunk line transport and tail end transport into a multimodal transport network diagram, determining nodes, feasible line sets and parameters thereof; b, establishing an emergency material multimodal transport scheduling optimization model considering risk sensitivity, and establishing a risk-sensitive scheduling optimization model based on an emergency material multimodal transport network and the obtained parameters; and C, generating a model solving result and a scheduling scheme, converting the scheduling optimization model into a solvable form, generating an executable scheduling scheme, verifying the result, and forming a complete technical closed loop. The method has the advantages that the adaptive capacity and robustness of the emergency logistics system under extreme situations such as path blocking are remarkably improved, and the method is suitable for popularization and application. And important decision support is provided for scientifically coping with disaster rescue.

The invention relates to the field of intelligent traffic and vehicle-road cooperation, in particular to a traffic operation double-control intelligent system. Comprising a multi-mode roadside sensing module used for obtaining traffic operation state data and environment state data of a road section; the double-control cooperation unit is used for jointly generating variable speed limit setting and signal control adjustment quantity based on the traffic operation state data and the environment state data; the signal control module is used for carrying out on-line adjustment on intersection phase timing or trunk line phase difference according to the signal control adjustment amount; the road information broadcasting module is used for broadcasting road information to the vehicle; the consistency verification module is used for carrying out consistency comparison on the road information, the actual signal lamp state and the phase remaining time; and the safety domain management module is used for applying double-hysteresis safety domain constraint to the variable speed limit setting and the signal control adjustment amount. According to the invention, the cooperation of two links is realized, the vibration suppression steady state is consistent with the release, and the driving behavior is stably and verifiably guided.

The invention relates to a phase difference dynamic transition control method and a phase difference dynamic transition control system based on a holographic sensing technology, and aims to optimize trunk traffic signal coordination control and improve traffic flow efficiency. The method comprises the following steps: collecting traffic index data (such as flow, queuing length and the like) of lane levels of all intersections of a trunk line in real time through holographic sensing equipment; obtaining a new scheme and an old scheme of trunk line coordination, and calculating a phase difference offset; according to the phase difference offset, determining the number of cycles required by transition and the duration of each cycle, and generating a transition scheme; dynamically adjusting the phase duration and the signal control instruction of each intersection based on the real-time traffic data; and issuing the control instruction to the annunciator for execution. The method is suitable for urban trunk traffic signal control, and has high practicability and popularization value.

The technical scheme of the invention discloses a traffic flow prediction method based on a dynamic space-time diagram convolutional network. The invention provides a traffic flow prediction method fused with a dynamic space-time diagram convolutional network, which captures road network change in real time through a dynamic adjacency matrix, designs a multi-scale time attention mechanism to fuse local convolutional features and global time sequence dependence, develops an intelligent mixed precision training system to realize computing resource optimization, and improves the traffic flow prediction efficiency. And the training efficiency is improved while the prediction error is reduced. Meanwhile, traffic flow data time features and multi-section spatial features are comprehensively considered, and prediction is carried out based on a single step length and multiple step lengths. The method realizes high-precision prediction of the short-time traffic flow, and is suitable for precise flow prediction of a main line and an arterial highway of a highway network.

This invention discloses a method and system for dust suppression during the loading of dry bulk cargo on railway lines. The method includes: if loading operations are detected to have commenced on the main railway line, determining the area to be suppressed based on on-site loading data; acquiring environmental information corresponding to the area to be suppressed, including wind direction information; determining the items to be loaded based on the on-site loading data, and determining the corresponding moisture content of the items; determining a control strategy for a spray system based on the wind direction information, moisture content, and the area to be suppressed, and adjusting the operating parameters of the spray system based on the control strategy to suppress dust during the loading process. This invention achieves precise control of dust pollution during railway loading, overcoming the limitations of traditional fixed dust suppression methods, and significantly improving pollution prevention efficiency and resource utilization effectiveness.

The invention discloses a cross-domain collaborative order dispatching method and system based on dynamic decomposition of a service chain, and relates to the technical field of voltage control, and the method comprises the following four steps: 1, collecting order basic information, synchronously calling demand quantification, resource quantification, basic attributes and time-space cost parameters, and carrying out real-time scheduling; the method comprises the following steps: screening order basic suitability according to a threshold value, and then judging a three-dimensional label; 2, judging whether to start service chain decomposition or not according to requirements and resource parameters, matching three schemes if the service chain decomposition is needed, and marking a single transport capacity mode if the service chain decomposition is not needed; 3, differentially matching the transport capacity, selecting the optimal transport capacity according to a comprehensive score in a single transport capacity mode, and matching the corresponding transport capacity for pickup, trunk line and tail end tasks according to a scheme if decomposition is needed; and 4, sending an execution instruction to the transport capacity, monitoring performance parameters in stages, generating three strategies of maintenance, local adjustment and scheme reconstruction according to deviation, storing the adjusted parameters into a database, and supporting efficient order dispatching and quality control.

The invention discloses a traffic signal management and control method and device based on AI edge calculation, and relates to the technical field related to communication, and the method comprises the steps: dividing an intersection passing right into space-time resource slots through real-time interaction between a roadside edge node and a vehicle-mounted terminal; when multiple vehicles request the same slot position, detecting occupation conflicts of the same space-time resource slots, and starting block chain auction fair distribution; and adjacent edge nodes share the result and generate a digitally signed signal control instruction through distributed machine learning collaborative optimization so as to realize signal lamp switching management and control. The technical problems that in traffic signal control, fixed timing is not matched with actual traffic flow changes, trunk line green wave coordination is difficult to adapt to dynamic traffic flow changes, cloud control network delay and fluctuation are caused, and traffic signal disorder is easily caused by vehicle priority passing are solved. The technical effects of improving the traffic efficiency and the real-time reliability of traffic signal management and control when the priority vehicle and the common vehicle are mixed, enhancing the cooperative control capability of the adjacent intersections and reducing the cloud control pressure are achieved.

The application discloses a trunk green wave parking intersection recommendation method, which overcomes the problem that the existing technology cannot recommend parking intersections for a trunk line that cannot realize bidirectional green waves, and comprises the following steps: calculating the distance between two adjacent intersections on the trunk line to obtain an intersection pair recommendation sequence Z; calculating the average lane number difference between the coordinated direction and the non-coordinated direction of each intersection to obtain an average lane number intersection recommendation sequence A; calculating the average lane flow difference between the coordinated direction and the non-coordinated direction of each intersection to obtain a lane average flow intersection recommendation sequence B; calculating the flow similarity between intersections to obtain an intersection flow trend intersection recommendation sequence; obtaining a final output list from the obtained intersection recommendation sequence, and outputting corresponding recommendation reason labels. The trunk green wave parking intersection recommendation method can recommend a downlink direction parking intersection recommendation list and a recommendation reason for a trunk line that cannot realize bidirectional green waves, and improves the intelligent level of traffic control.

A wire harness includes a trunk line extending from an upstream side to a downstream side, a plurality of branching units respectively provided at each of a plurality of branching points on the trunk line, and a plurality of branch lines branching out from the plurality of branching units, wherein the trunk line includes a trunk conductor, wherein the branch line includes a branch conductor, and wherein the branching unit includes a conductor connection portion that electrically connects the trunk conductor on the upstream side to the trunk conductor on the downstream side and to the branch conductor, and a cover portion including an insulating material that covers the conductor connection portion and surroundings thereof.

A trunk bus connector for electrically coupling one or more branch cables to a trunk line may comprise a junction area where one or more stripped portions of the branch cable(s) can be secured against a stripped portion of the trunk line. The trunk bus connector may comprise an overmold substantially encapsulating the junction area and comprising a trunk line pathway to enable the trunk line to pass through the junction area. The overmold may comprise one or more branch entry pathways to enable the branch cable(s) access into the junction area. Each branch entry pathway may be angled with respect to the trunk line pathway such that the branch cable(s) enter into the junction area such that an angle at which each branch cable approaches the trunk line is between approximately 30 and 50 degrees.

The invention discloses a main line intersection CAV special lane setting method and a self-adaptive control system in a mixed driving environment. The method comprises the following steps: collecting information in real time; according to the current CAV permeability, the traffic capacity in the trunk line direction in three different states is calculated, the maximum net income of the traffic capacity is calculated, and then lane function switching judgment conditions are set in a mode of comparing the maximum net income of the traffic capacity; the lane function switching judgment condition is used for judging whether to open or close a CAV special lane, and determining that the CAV special lane is set as a CAV full-steering special lane or a CAV straight special lane; and iteratively optimizing the generated signal control scheme by adopting a PS-PPO-based multi-agent deep reinforcement learning algorithm, and generating an optimal signal control scheme in real time. According to the invention, the hybrid lane and CAV lane functions are dynamically adjusted according to the change of the CAV permeability, the cooperative optimization of the lane functions and the signal control scheme is realized, and the traffic efficiency of the trunk line intersection is improved to the greatest extent.

The invention discloses an unmanned aerial vehicle monocular vision inertial positioning method based on under-forest geometric representation, and belongs to the technical field of forestry monitoring. In order to solve the problem of positioning drift of the unmanned aerial vehicle caused by background pseudo observation in a complex under-forest environment, a lightweight instance segmentation network is adopted to carry out trunk instance segmentation and mask generation on an input image, and a hard semantic mask of a trunk area is obtained; constructing a visual residual weighting function which comprises a full-region point feature constraint and a line feature constraint, and performing optimization processing by using a soft weighting function to obtain an input image after semantic mask cutting optimization; geometric constraints of the trunk line segments are set, and candidate trunk line segments after geometric constraint processing are obtained; in a sliding window nonlinear optimization framework, uniformly encoding point feature constraints and line feature constraints into an information matrix; and optimizing all to-be-optimized variable sets in the sliding window by using a weighted least square method, then adjusting the scale of the sliding window through a marginalization strategy, and outputting an optimized global trajectory.

The invention discloses an electrified flexible source load characteristic identification and adjustable potential measurement and calculation method, and particularly relates to the technical field of trunk line potential measurement and calculation, and the method comprises the steps: S1, multi-dimensional dynamic data collection and processing, S2, flexible source load spatial-temporal characteristic dynamic clustering, S3, adjustable potential prediction model construction of a spatial-temporal mechanism, and S4, AC trunk line power grid safety bundle potential verification. S5, dynamic potential visualization scheduling interface development; and S6, method validity verification adaptive optimization. By constructing a multi-dimensional and high-frequency dynamic data acquisition and processing system, data of different types and different scales can be effectively fused and utilized by the model, so that the defect that full utilization of the flexible load in power grid dispatching is limited due to single data source and poor quality in the prior art is overcome, and the flexible load dispatching efficiency is improved. The problems of inaccurate evaluation and poor predictability in the prior art are fundamentally solved.

The invention relates to the field of traffic signal control, in particular to a trunk line adaptive dynamic green wave traffic signal control method, which comprises the following steps of: establishing constraint conditions according to core parameters such as a fixed trunk line coordination public period, a coordination phase and a phase difference, and fusing single-intersection adaptive control and trunk line green wave coordination control; a corrected traffic state vector is generated based on real-time and historical entrance lane queuing data, and dynamic regulation and control of green wave bandwidth and green light duration of each phase are realized through stage sequence optimization driven by pressure, green time distribution optimization based on shared contribution degree, and distributed decision stage release sequence and green light duration of each intersection. Finally, the technical problems that in the prior art, green wave timing is fixed, and traffic flow randomness cannot be dynamically adapted are solved, traffic flow in the coordinated direction passes without stopping, the waiting time of traffic flow in the non-coordinated direction is shortened, and the overall passing efficiency of all intersections of the trunk line is greatly improved.

The utility model relates to the technical field of fire fighting equipment, especially a high flat dual -purpose water hose laying vehicle, it includes accomodating component, the accomodating component includes a plurality of accomodating frame, the accomodating frame is the U type structure of both sides and upper end open, connecting component, the connecting component includes connecting piece and with the support piece of connecting piece lower extreme connection, the accomodating frame places on the support piece and is connected with connecting piece, triangular wheel group, triangular wheel group with the lower end portion rotation connection of connecting piece, triangular wheel group is located in the side of connecting piece away from accomodating frame, handle, handle is located in the upper portion of the side of connecting piece away from accomodating frame. The water hose laying vehicle of the utility model can transport multiple water hoses for laying at a time when laying water supply trunk line in narrow road or high building, and the efficiency is improved.

The invention relates to the technical field of cross-border e-commerce intelligent recommendation, in particular to a product recommendation system and method based on a cross-border e-commerce platform, and the method comprises the steps: obtaining a historical behavior track of a target user, and processing the historical behavior track to form a pre-selected commodity pool, a dynamic environment variable factor is obtained by integrating the real-time exchange rate fluctuation value of the destination country, customs clearance timeliness data and international logistics trunk transportation cost weighting, commodity information, the user activeness level and the factor are input into a multi-modal reasoning calculation engine, joint probability distribution is constructed, and an instant recommendation score is calculated; and then starting a state inversion mechanism by taking the score as an input, reversely deducing an unexplicit potential demand state of the user, and fusing the score and the demand state to generate an enhanced recommendation list containing explicit recommendation reasons and implicit demand mining. The method is adaptive to a cross-border scene dynamic environment, reverse mining of potential demands of the user is realized, and the recommendation list composition dimension is optimized.

The application discloses a grounding fault interval positioning method and device and electronic equipment, wherein a first fault interval is determined according to a zero sequence signal collected by a terminal of a main station system; a main trunk line of the first fault interval is segmented and processed by using a dichotomy method to obtain a first power supply side line and a first load side line; an outgoing switch trial power supply operation is performed on the first power supply side line, a fault line section is determined according to a result of the outgoing switch trial power supply operation, and a second fault interval is obtained; a branch isolation method and a power supply side power supply recovery method are adopted to determine a third fault interval according to a fault line of the second fault interval; and according to a topology of a line in the third fault interval, an area without a branch device in the third fault interval is isolated and recovered for power supply in stages, and a fourth fault interval is determined; the network advantage of a power distribution network can be fully utilized to determine a specific grounding position of a line on site, and the positioning is accurate. The embodiment of the application can be widely applied to the technical field of fault positioning of a power distribution system.

A branching device to be used for branching a power supply path connecting a first trunk station and a second trunk station to a branch station, the branching device including: a first power reception port being connected with a first power supply path connected to the first trunk station; a second power reception port being connected with a second power supply path connected to the second trunk station; a third power reception port being connected with a third power supply path connected to the branch station; and a power supply unit configured to supply, via the third power reception port, power to the third power supply path by power supply from at least either of the first power supply path and the second power supply path.

The application aims to provide a trunk intersection cooperative control method considering robustness, belonging to the technical field of intelligent traffic control, which comprises the following steps: constructing a multi-agent trunk intersection system, regarding each intersection as an independent agent; performing trunk intersection robustness configuration, introducing a robustness optimization strategy, establishing a traffic flow uncertainty fluctuation model, setting a robustness target and constraint condition; building a robust trunk multi-agent network framework, defining a robust joint traffic state space, action control parameters and a robust reward function; training the agent using a deep reinforcement learning algorithm, constructing a multi-agent deep deterministic policy gradient algorithm considering robustness; and optimizing the control strategy according to real-time traffic data through online learning and adaptive adjustment. The application improves the adaptability and stability of the trunk intersection in complex traffic environment through robustness setting and agent cooperative control, and has good scalability.

To provide a bus bar module capable of suppressing a decrease in yield of a flexible printed circuit board.SOLUTION: A bus bar module 1 includes a flexible printed circuit board 3 having a trunk line part 30 having a longitudinal direction X and a width direction Y, and a branch part 31 connected to an edge of the trunk line part in the width direction, a bus bar 10 connected to the branch part of the flexible printed circuit board, and a case 4 for housing the flexible printed circuit board and the bus bar. The branch part is cut into a shape having a base end part 32 connected to the trunk line part and a piece part 33 extending in the longitudinal direction from the base end part, and the branch part is connected to the bus bar 10 in a state in which the piece part is deformed so as to extend in the width direction Y.SELECTED DRAWING: Figure 2

A high-speed data communications network in or on a building includes a plurality of trunk line segments serially coupled to each other by a plurality of passive circuits configured to deliver signals to, and to receive signals from, one or more devices on, in, or outside the building, wherein the signals comprise data having a greater than 1 Gpbs transmission rate.

The invention discloses a road maintenance site AI video sensing vehicle intrusion prevention and hidden danger self-inspection early warning system, and belongs to the technical field of road maintenance safety prevention and control. The system adopts a layered framework of a sensing layer, a transmission layer, a platform layer and an application layer, double AI cameras are used for realizing accurate identification of vehicle intrusion, hidden dangers and'three violation 'behaviors, and a'identification-early warning-supervision-rectification-tracing' management closed loop is constructed by matching an acousto-optic early warning device and a double transmission mode. The system can be quickly deployed in various operation vehicles or fixed structures, adapts to complex outdoor environments, has the advantages of high recognition precision, quick response and high compatibility, is suitable for maintenance scenes such as highways, national and provincial trunk lines, urban roads and the like, and can greatly improve the safety management level of maintenance operation.

The embodiment of the invention provides a regional traffic optimization method and device, equipment and a storage medium, a traffic network is divided into a plurality of regions, the type of each region is identified, and the intersection and conflict type is that at least one trunk line group exists in the region, and the overlapping intersection of each trunk line in the trunk line group and other trunk lines is greater than or equal to 2; deleting at least one trunk line from the trunk line group in each optimization period for the cross and conflict type region, and reconstructing the region into a cross but non-conflict type; and for the region of the crossed but non-conflict type, when the region does not conflict with the adjacent region, the absolute phase of any intersection of the region is taken as a reference, and the absolute phases of other intersections are optimized according to the relative phase difference of the adjacent intersections in the region. According to the technical scheme provided by the embodiment of the invention, the cross and conflict area is reconstructed into the cross but non-conflict area, so that the coordination optimization of different time and different space competition of the traffic network is realized.

The present application relates to the technical field of electric power metering, and especially relates to a kind of electric energy meter state in network monitoring method, device, terminal and storage medium, the electric energy meter state in network monitoring method disclosed by the present application is loaded harmonic through trunk line, harmonic and the waveform of the current of trunk line and branch line line have obvious difference, by opening the band-stop filter in each branch line line, so that the harmonic current of trunk line only passes through the electric energy meter for detection, then by comparing the data of the electric energy meter to be detected with the data of total meter, whether the electric energy meter to be detected meets the precision requirement can be obtained, therefore, after applying the method of the present application, the electric energy meter can be completed online detection without disassembly, equipment resources and human resources are saved, and the reliable operation and measurement accuracy of the electric energy meter are also guaranteed.