15results about How to "Accurately defined" patented technology

The invention relates to the technical field of battery charging and discharging optimization, and discloses a charging and discharging optimization method, device and equipment for a robot energy storage battery, and the method comprises the steps: collecting a working condition feature data set of the robot energy storage battery; performing state cooperative calculation on the working condition characteristic data set to obtain battery operation state data; establishing a mapping relation model of load power and charge-discharge efficiency, and determining a battery working interval boundary value to obtain charge-discharge characteristic data; inputting the charge and discharge characteristic data into a deep gating cycle unit network, and obtaining a battery performance prediction model through dynamic modeling; based on a battery performance prediction model, a gain factor self-tuning technology is adopted to construct a closed-loop controller, online optimization calculation is carried out on control parameters through a gradient descent algorithm, a control instruction containing a charging and discharging current limit value and a voltage threshold value is generated, and then accurate prediction of the battery performance is achieved. And stable operation of the charging and discharging control system is ensured.

The invention relates to the technical field of battery charging and discharging optimization, and discloses an energy management system data analysis method, device and equipment and a storage medium, and the method comprises the steps: collecting a working condition feature data set of a robot energy storage battery through an energy management system; performing state cooperative calculation on the working condition characteristic data set to obtain battery operation state data; establishing a mapping relation model of load power and charge-discharge efficiency, and determining a battery working interval boundary value to obtain charge-discharge characteristic data; inputting the charge and discharge characteristic data into a deep gating cycle unit network, and obtaining a battery performance prediction model through dynamic modeling; based on a battery performance prediction model, a gain factor self-tuning technology is adopted to construct a closed-loop controller, online optimization calculation is carried out on control parameters through a gradient descent algorithm, a control instruction containing a charging and discharging current limit value and a voltage threshold value is generated, accurate prediction of battery performance is further achieved, and stable operation of an energy management system is ensured.

The invention discloses an image labeling method for oil and gas field station working condition recognition and a storage medium. The method comprises the steps that S1, an oil leakage target area in a two-dimensional image is expressed as a three-dimensional equivalent set function; s2, designing a binary step function to initialize an equivalent set function, and roughly positioning a potential target area; s3, designing an energy functional with expected difference, and defining the energy functional as a line integral along the zero-equivalence contour of the equivalence set function; s4, the equivalent set function is evolved, a gradient flow minimization energy functional is solved, and a zero equivalent set contour, namely the boundary of the optimal oil leakage target area is obtained and serves as a mask boundary; and S5, verifying whether the obtained mask boundary meets requirements or not. The method has the advantages of high efficiency, high stability and high precision in data labeling and training data set construction, and the problem of low labeling efficiency of the pipeline petroleum leakage sample can be effectively solved.

The application discloses a kind of hardness correlation liver cancer lung premetastatic niche mouse model construction method, it includes the following steps: (1) in vitro enrichment respectively on the low hardness substrate of hardness 6kPa and the high hardness substrate of hardness 16kPa, the condition culture supernatant of mouse liver cancer cell Hepa1-6 that is cultured and grows, respectively named mL-CM and mH-CM;(2) mL-CM and mH-CM are respectively injected into two groups of mice using tail vein injection mode, every 1 day injection 1 time, until the 26th day, during continuous monitoring the recruitment of BMDCs in fresh lung tissue, while with the induction endpoint, i.e. 26th day premetastatic niche mark feature detection includes lung tissue matrix remodeling, immunosuppression, angiogenesis, vascular permeability and inflammation etc..The method has the advantages of short modeling cycle, easy operation, controllable induction condition, can comprehensively and accurately evaluate the common characteristics of liver cancer lung premetastatic niche formation etc..

This invention relates to the field of pose estimation technology, specifically to a multi-view, multi-person 3D pose estimation method, apparatus, and device. The method includes: acquiring image information and depth information of the target using multi-view acquisition technology; segmenting the person in a single view based on the image information and extracting 2D semantic features; reconstructing the point cloud based on the depth information to obtain a 3D point cloud in a preset world coordinate system; segmenting the point cloud for different human figures based on the 3D point cloud and calculating the point cloud boundaries as human body boundaries; mapping the 2D semantic features to the 3D point cloud to obtain 3D features; and classifying different human figures and constructing 3D poses based on the 3D features and human body boundaries. This technical solution can segment the point cloud for different human figures based on the 3D point cloud, accurately define the joint positions of different figures, and achieve differentiation and matching of different figures. Furthermore, based on discrete point cloud data, it has better flexibility and fault tolerance.

The invention provides a street three-dimensional space model large-scale acquisition method based on a'unit box '. The method comprises the following steps: determining an acquisition area and acquiring basic data; identifying and screening effective street center lines, numbering and registering endpoint information; measuring and calculating the street average open space width of all effective streets based on a continuous equidistant sampling method; an expansion coefficient is set, and the widths of the three-dimensional space models of all the effective streets are calculated; corresponding unit boxes are constructed for all the effective street objects; and constructing a three-dimensional space model of all effective street objects by combining the unit box and the basic data, and performing associated marking on the three-dimensional space model and a corresponding street number. According to the method, a set of digital technical process is adopted, the building elements of the street interface are comprehensively considered, the street three-dimensional space model can be accurately measured and obtained on a large scale, and a more rational scientific basis is provided for urban design and planning and morphological research of streets.

The application provides a kind of multi-agent collaborative MCP registration, authorization and execution method based on blockchain, it is related to artificial intelligence technical field, including MCP provider, LLM provider, terminal user three parties, the registration, joint authorization and trusted execution of MCP are realized through smart contract, including: registration MCP metadata chain, apply for authorization for user-LLM combination, LLM initiates double signature call, contract verification and triggers execution, Oracle returns result and updates state.The application realizes decentralization, multi-agent collaboration, MCP call full-link verifiable, accurate definition of rights and responsibilities, supports fine-grained permission management and automatic fee settlement, meets GDPR, HIPAA and other compliance regulatory requirements, provides underlying support for large-scale and secure invocation of external services, and is suitable for SaaS, API market and other multi-scene applications.

The invention discloses a center point-driven complex intersection form adaptive generation method, which comprises the following steps of: acquiring built environment data in a research range, identifying all intersection points of a road center line in the research range, and screening out effective intersection points; the minimum open space radius of the intersection is obtained by radiating concentric circles on effective intersection points, and the empty radius representing the three-dimensional built environment around the intersection is calculated by combining the expansion coefficient; and radiating circles with corresponding radiuses to all the effective intersection points, cutting building ground contour data in the circles, and stretching by combining with corresponding height information to form a model of a three-dimensional built environment around the intersection. The intelligent defining method is adopted, the three-dimensional built-up environment around the intersection in the research range is quickly and accurately defined, and a comprehensive and rational scientific basis is provided for design, optimization and improvement of the three-dimensional built-up environment around the intersection.

The application provides a monitoring method based on an electronic fence, which comprises the following steps: forming a traffic cone area by a plurality of traffic cones provided with UWB base stations, and defining an electronic fence area by signals of broadcast information of the UWB base stations, so as to serve as the traffic cone area; providing a tag device for personnel and construction vehicles; receiving personnel position information and vehicle position information sent by each tag device by the UWB base station, so as to determine characteristic information of the personnel and / or the construction vehicles in real time; and performing matching verification according to the determined characteristic information of the personnel and / or the construction vehicles, and judging whether the personnel and / or the construction vehicles are in the traffic cone area. The application can more effectively and intelligently monitor real-time dynamic and position information of personnel in a construction site or a maintenance site, and can more effectively guarantee the safety of the personnel and maintenance vehicles in the construction site or the maintenance site by judging whether the determined position of the personnel or the vehicle is in the traffic cone area, and issuing an alarm warning for prompting.

The application provides a power transmission channel risk target alarm processing method and device based on an electronic fence, relates to the technical field of intelligent monitoring and target detection of power transmission channels, and comprises the following steps: acquiring historical risk target data and extracting multi-dimensional risk features, obtaining initial clustering clusters based on weighted distance clustering, determining clusters meeting preset risk screening conditions as low-risk candidate areas, performing boundary clipping on the candidate areas based on safety space constraint conditions to generate low-risk electronic fences, acquiring a current risk target, and performing alarm suppression or release operations based on motion state prediction results in response to the target falling into the fence. The application realizes accurate compliance suppression of low-risk alarms and dynamic management and control of mobile risks, and improves operation and maintenance efficiency.

The application discloses a limited space toxic gas gradient detection system and method based on a UAV, and the system comprises the following steps: a multi-sensor integrated module is installed at the bottom of a UAV platform, and the module comprises a hydrogen sulfide electrochemical sensor, an oxygen optical sensor, a positioning module and a laser radar; a controller is connected with the UAV platform, the multi-sensor integrated module and a communication module; and a data processing terminal is connected with the controller through wireless communication. The method comprises the following steps: a two-dimensional vertical plane model of a vertical detection plane is generated based on LiDAR data, a plurality of detection points arranged in a matrix form are divided from the two-dimensional vertical plane model, spatial coordinate information, hydrogen sulfide gas concentration data and oxygen concentration data of each detection point are collected, and hydrogen sulfide and oxygen concentration data of all horizontal layers in the vertical direction are calculated based on the detection data by using a Kriging interpolation algorithm. The system and method can automatically realize high-precision gradient detection of toxic gases in the vertical direction in a limited space.

The present application relates to the technical field of geological surveying and mapping, in particular to a coalfield aquifer spatial distribution analysis method based on surveying and mapping fusion, which comprises: performing spatial registration on the original surveying and mapping data set of a target region to obtain spatialized surveying and mapping data; obtaining spatial difference partitions through three-dimensional reconstruction of aquifer lithology and thickness and correlation mapping of water conductivity performance, determining boundary information by combining aquifer outcrop and structure point overlay analysis, and constructing a digital spatial structure; updating the structure through multi-source real-time monitoring data parameter inversion, interpreting water level anomaly spatial characteristics, positioning risk areas in combination with water conductivity performance partition, inferring trends by fusing water inflow records, and generating a risk distribution information map; the present application can improve the efficiency of coalfield aquifer spatial distribution analysis based on surveying and mapping fusion.

This invention provides a plate cutting device and method based on a fixed area, relating to the field of plate cutting equipment. It includes: a machine tool assembly comprising a working surface for supporting the plate; a moving assembly located above the working surface, with a laser cutting blade mounted on its moving end to drive the laser cutting blade to move along the length and width directions of the working surface; a measuring assembly including at least two sets of position measuring modules installed on both sides of the working surface along its length direction, the position measuring modules being configured to move along the length direction of the working surface and emit measuring beams toward the side of the plate to obtain edge position data of the plate; and a camera assembly for capturing images of the entire working surface. By acquiring the actual edge position data of the plate through the measuring modules and combining it with the camera assembly, the usable cutting area of ​​the plate can be defined more accurately, reducing the impact of plate placement deviations or size fluctuations.

The application relates to the field of communication technology, in particular to a dangerous information early warning method and system based on a self-organizing network, a mobile terminal and a medium, the method is applied to a first mobile terminal, the first mobile terminal and a second mobile terminal have both started a NAN self-organizing network function to complete team networking, the first mobile terminal obtains a dangerous type by detecting and analyzing a dangerous instruction, acquires the dangerous type and environmental data to identify a dangerous level, determines dangerous alert area data according to the dangerous type and the level, broadcasts the data to the second mobile terminal, and makes the second mobile terminal perform early warning. With the aid of the self-organizing network technology, the dangerous information can be timely and accurately shared, the team members can know the dangerous position and the influence scope in advance, and the outdoor activity risk can be effectively reduced.

This disclosure relates to the field of power system technology, and provides a method, apparatus, medium, and equipment for calculating the operating envelope of distribution network nodes. The method includes: acquiring basic data including network topology, line parameters, transformer parameters, transmission capacity limits, node voltage limits, and distributed energy output limits, and constructing a feasible region model containing linearized power flow equations and various security constraints based on this data; defining a fully symmetric multicell as its independent operating envelope for each node connected to distributed energy, and ensuring that the Cartesian product of all node envelopes is included in the feasible region model by constraining each node to adjust its power independently within its envelope without violating grid security constraints; and solving for the operating envelope of each node with the objective of maximizing the size of all node envelopes. This embodiment achieves accurate and efficient definition of the safe operating range of distribution network nodes under high-proportion distributed energy access.