15results about How to "Optimize runtime" patented technology

The invention relates to a vehicle track and traffic flow prediction method based on checkpoint data, and belongs to the field of intelligent traffic, the checkpoint data is adopted and combined with GCN, GRU and KAN models to carry out vehicle track prediction, and the predicted vehicle tracks are superposed to obtain a flow statistical result of each checkpoint. Therefore, the purposes of accurately reflecting the real traffic condition, enhancing the road traffic safety and relieving the traffic jam problem are achieved. Comprising the steps of (1) definition, (2) data preprocessing, (3) checkpoint data information extraction, (4) vehicle track construction and division, (5) selection of vehicles meeting conditions, (6) vehicle track prediction, (7) traffic flow prediction, and superposition of the predicted vehicle tracks to obtain a traffic flow prediction value of each checkpoint in the future.

The invention relates to a road lighting carbon emission analysis method and system based on photoelectric parameters, and belongs to the field of carbon emission analysis. The method comprises the steps that a road lighting carbon emission calculation area is preset, and photoelectric parameters of road lighting equipment are collected in the road lighting carbon emission calculation area; setting a carbon emission coefficient according to an energy source of the road lighting equipment, and calculating a regional carbon emission coefficient of the road lighting equipment according to the photoelectric parameters; constructing a carbon emission analysis model through the regional carbon emission coefficient and the position information of the road lighting equipment, and performing optimization scheduling analysis according to the carbon emission limit of the road lighting carbon emission calculation region and the topological structure of the lighting equipment in the carbon emission analysis model to obtain an emission reduction optimization result; and adjusting the starting power and the operation time of the corresponding road lighting equipment in the road lighting carbon emission calculation area according to the emission reduction optimization result. The carbon emission calculation boundary of the road lighting system is determined, and the carbon emission condition of the lighting system is evaluated more comprehensively.

The invention provides a layout and logic diagram comparison LVS verification method, which is applied to a three-dimensional integrated circuit (3D IC) comprising at least two bare chip stacked layer by layer and at least one through silicon via (TSV), and comprises the following steps: acquiring a first netlist file; obtaining a first layout file, wherein the first layout file comprises a circuit layout of the three-dimensional integrated circuit; according to the first layout file, constructing a simplified model of the three-dimensional integrated circuit, the simplified model comprising a connection relationship and a stack structure of the at least two bare chips and the at least one TSV in a circuit layout; and comparing the first netlist file with the simplified model to obtain LVS verification information of the three-dimensional integrated circuit. According to the method, the 3D IC is simplified into a plurality of independent models, and then the models are converted into LVS verification of the 2D stacked model, so that the operation efficiency of the LVS verification is optimized.

The invention discloses a neighbor entity-based medical knowledge graph automatic alignment method. The method comprises the following steps: 1) acquiring a source medical knowledge graph and a target medical knowledge graph; 2) obtaining a basic vector representation of the medical entity by using the pre-training model; 3) constructing a neighbor relation mask matrix; 4) constructing a neighbor entity interaction matrix; 5) obtaining the comprehensive similarity between the entities and finely adjusting the model by using a loss function; and 6) checking the alignment degree between the medical knowledge maps by using the entity alignment evaluation indexes. According to the medical knowledge graph automatic alignment method based on the neighbor entities, the model considers the influence of the similarity between the entities on entity alignment between two medical knowledge graphs with heterogeneity, and also considers the influence of the similarity between the neighbor entities of the entities on the entity alignment effect; and the generalization ability of the model is enhanced, so that contributions are made in the fields of knowledge graph fusion, data governance, text understanding, question and answer systems and the like.

The invention belongs to the technical field of water-saving irrigation control, and particularly relates to a crop-energy collaborative high-standard farmland irrigation and drainage intelligent management and control method and a crop-energy collaborative high-standard farmland irrigation and drainage intelligent management and control system. The high-standard farmland irrigation and drainage information measurement and control system based on low-voltage power line high-speed carrier communication achieves collection of information such as field water level and pump station operation energy consumption, irrigation amount prediction information is obtained according to the field water level, energy consumption of each pump station is predicted in combination with a pump station energy consumption module, a regional pump station node energy consumption distribution diagram is established, and the energy consumption of each pump station node is calculated. And scheduling the operation time of each pump station by taking the irrigation requirement and the energy consumption balance as targets. By means of the method, water-saving irrigation control over high-standard farmland is achieved, the influence of simultaneous operation of the pump station groups on the power grid is reduced while the requirement for crop growth is met, and the stability and stability of operation of the power grid are improved.

The embodiment of the invention relates to the technical field of urban rail transit, and discloses a train energy-saving operation control method, device and equipment and a storage medium, and the method comprises the steps: obtaining the whole-line operation total time of a target train on a target line and the operation distance of each operation interval on the target line; according to the whole-line operation total time and the operation distance of each operation interval, constructing a plurality of different time distribution schemes, wherein the time distribution schemes are used for indicating the operation time of the target train in each operation interval and the residence time of the target train in each station; determining traction energy consumption corresponding to the target train under each time distribution scheme; and determining the time distribution scheme with the lowest traction energy consumption as a target time distribution scheme, and controlling the target train to run on the target line according to the target time distribution scheme. Redundant time can be distributed to the operation interval with the better energy-saving effect, the operation time of the train in all the operation intervals is optimized, and traction energy consumption is reduced while the operation punctuality is guaranteed.

The application provides a kind of motion optimization method and system of mechanical arm based on improved sparrow algorithm, based on the kinematic model of mechanical arm, the trajectory of mechanical arm is planned using polynomial interpolation method, and the joint motion trajectory is obtained;Based on the joint trajectory, the objective function and the constraint condition of the mechanical arm are constructed;The sine-cosine mapping, improved elite reverse learning strategy and Cauchy Gaussian variation principle are integrated into the sparrow algorithm to obtain the improved sparrow algorithm;Based on the objective function and the constraint condition, the improved sparrow algorithm is applied to the trajectory planning of the mechanical arm, and the motion of the mechanical arm is optimized.The application integrates the sine-cosine mapping, improved elite reverse learning strategy and Cauchy Gaussian variation strategy into the sparrow algorithm to form the improved sparrow algorithm, improves the diversity of population, avoids falling into local optimum, and can effectively find the global optimal solution.The improved sparrow algorithm is applied to the mechanical arm, which improves the running efficiency and running accuracy of the mechanical arm.

The invention relates to the technical field of pump room management, in particular to a secondary water supply intelligent pump room management and control method and system based on the Internet of Things, and the method comprises the following steps: extracting the water consumption of different time periods based on the historical operation record of a pump room, analyzing the influence of the environment temperature on the water consumption, monitoring the current environment temperature in real time through a temperature sensor, and obtaining the water consumption of the pump room; and predicting the water consumption in the future time period to obtain a water consumption prediction result. According to the method, the future water consumption is predicted by integrating temperature sensor data and real-time weather information, the water consumption peak is effectively dealt with by adjusting the start-stop time of pump room equipment and the water supply pressure in the water consumption peak period, the pressure feedback of high-rise users on secondary water supply is collected, and the operation parameters of the pump room equipment are adjusted in time, so that the water consumption is effectively reduced. Accurate control of water supply pressure and user satisfaction are improved, equipment operation states are monitored in real time, potential faults are identified, reliability and long-term maintenance efficiency of pump room equipment are improved, and efficient and stable operation of a water supply system is ensured.

The present invention relates to the field of air purification technology, and in particular to a distributed intelligent control system and an air purifier. The system includes a distributed control network establishment module, a parameter collection module for the area where the purifier is located, a regional component service life estimation module, and a distributed intelligent control module for the area to be purified. The air purifier can be installed and deployed in the area to be purified, and a quick connection and hotspot compatible distribution network and distributed node design can be performed. At the same time, the corresponding air purifier filter and UV lamp operating parameters are monitored in real time, and sent to the respective data processing centers for component remaining service life estimation and uploaded to the central control system for threshold division distributed intelligent control, generating replacement reset control strategies and purification adjustment control strategies to execute air purifier component replacement reset control work and distributed purification adjustment control work in the area to be purified. The present invention can better improve the air purification adjustment control effect.

The present application belongs to the technical field of slurry bed hydrogenation, and discloses a residual oil processing system and method. The system comprises a residual oil hydrogenation reaction device, an oil-gas separation unit, an atmospheric distillation unit, a vacuum distillation unit and a raw oil feeding pipeline. The present application has the technical characteristics of simple structure, improved economic benefits, reduced investment cost and device operation energy consumption, etc.

The present invention relates to a vehicle trajectory and traffic flow prediction method based on checkpoint data, which belongs to the field of intelligent transportation. The vehicle trajectory prediction is performed by using checkpoint data and combining GCN, GRU and KAN models. The traffic statistics of each checkpoint are obtained by superimposing the predicted vehicle trajectory, so as to achieve the purpose of accurately reflecting the real traffic situation, enhancing road traffic safety and alleviating traffic congestion problems. The method includes step 1), definition; step 2), data preprocessing; step 3), extracting checkpoint data information; step 4), vehicle trajectory construction and division; step 5), selecting qualified vehicles; step 6), vehicle trajectory prediction; step 7), traffic flow prediction; superimposing the predicted vehicle trajectory to obtain the traffic flow prediction value of each checkpoint in the future.

The invention relates to a train operation analysis method and device, equipment, a storage medium and a computer program. The method comprises the steps that train information is obtained, train yard relation information is analyzed, and train entry and exit information, a train type, a passing type and an operation direction are obtained; according to the train entering and exiting information, the train type, the passing type and the running direction, interval running time is obtained through calculation; based on preset influence factor types, analyzing the interval operation time to obtain average operation time corresponding to each preset influence factor type; and determining the influence degree of each preset influence factor type on the interval operation time according to the average operation time corresponding to each preset influence factor type. The interval operation time is obtained through calculation, the influence degree of the interval operation time is calculated in combination with the preset influence factor types, different factors of the influence degree of the interval operation time are accurately judged, and the transportation capacity can be improved by adjusting the influence factor types and optimizing the interval operation time.

The utility model provides a cleaning brush cover plate module which comprises a cleaning brush base, a cleaning brush and a cleaning brush cover plate, the cleaning brush base comprises a middle groove part and an edge extension part, the middle groove part is used for containing the cleaning brush, the edge extension part is located on the periphery of the middle groove part, and an electromagnetic device is arranged on the edge extension part; the cleaning brush cover plate is used for covering the cleaning brush base and comprises an inner side face and an outer side face, the inner side face is provided with metal conductors with the same number as the electromagnetic devices, when the cleaning brush cover plate covers the cleaning brush base, the inner side face faces the cleaning brush base, and at the moment, the positions of the metal conductors are matched with the positions of the electromagnets. According to the cleaning brush cover plate module, the problem that the existing cleaning brush cover plate module is easy to cause wafer fragments is solved.

This utility model relates to a motor unit for an electric motor, particularly a brushless motor, and a sliding top unit. The motor unit has a stator unit (1) comprising a plurality of stator windings (20) and a circumferential base structure (10) for accommodating the plurality of stator windings (20), wherein the relative circumferential surfaces (24) of adjacent stator windings (20) are formed to be parallel to each other.

This invention proposes a chip standard cell legalization method and system considering the adjacency diffusion effect, relating to the field of electronic design automation. The specific scheme includes: constructing a minimum spanning tree based on cell layout and left / right diffusion height; decomposing and reconnecting the minimum spanning tree to generate Hamiltonian paths; calculating the cell's station position on the layout row according to the vertex order in the Hamiltonian path and the cell width; and designing an algorithm based on Hamiltonian completion to calculate the new cell position. By moving cells on a single layout row to make adjacent cells have the same diffusion height, this reduces NDE violations to near-optimal minimum and minimizes maximum cell movement without any area overhead, while achieving better actual runtime.