121 results about "High coverage" patented technology

Disclosed are a three-dimensional laser point cloud-based method and system for in-depth vegetation management in transmission corridors. The method comprises: collecting multi-source data by means of an unmanned aerial vehicle- and helicopter-mounted multi-sensor system, and preprocessing the multi-source data; using the processed multi-source data to create a digitalized power grid corridor and construct a vegetation management analysis model; on the basis of data analyzed by the vegetation management analysis model and geofencing technology, designing a hazard vegetation clearing-cost-compensation prediction model; and developing a mobile application for analyzing hazard vegetation data flows and the closed-loop management of vegetation management service flows. The described method achieves high-precision and high-coverage data collection, precisely identifies transmission line digital twins and hazard vegetation, standardizes and automates the management of hazard vegetation clearing and related compensation, and develops a mobile application for analyzing hazard vegetation data flows and the closed-loop management of vegetation management service flows, thereby achieving the end-to-end digital and mobile management of vegetation management. The organic combination of steps comprehensively improves the intelligence and efficiency of transmission line vegetation management.

The invention discloses a software defect positioning method and system based on multi-stream model fusion. The method comprises the following steps: firstly, filtering test cases with relatively high coverage rate by adopting a test case reduction strategy, and weighting the residual test cases by utilizing a test case weighting strategy so as to reflect the capability of the test cases for revealing defects; frequency spectrum features, variation features, local semantic features and global structure features are extracted, the frequency spectrum features and the variation features are calculated through a weighted suspicious degree formula, and the local semantic features and the global structure features are obtained through a deep learning technology; and finally, fusing the four types of features, and inputting the fused features into a defect positioning predictor trained by a multi-layer perceptron to obtain a suspicious degree score of each code statement, so that suspected defect statements are screened out by taking the suspicious degree scores as positive correlation indexes of the defect statements, and software defect positioning is realized. According to the method, the code defect mode can be effectively disclosed, so that the accuracy of software defect positioning is improved.

The invention discloses a method, a device, equipment and a medium for dynamically generating a smoking test case set, and relates to the technical field of chip verification, coverage rate data is collected, code change data is obtained according to a code version, priority index data is determined according to the coverage rate data and the coverage rate data corresponding to the code change data, and a smoking test case set is dynamically generated according to the priority index data. And screening the test cases in combination with weight coefficients determined by different change types determined by the priority index data so as to dynamically generate a smoking test case set. Therefore, the method replaces a static use case set, instead, the use case set is adjusted in real time according to code change and coverage rate change, priority indexes are balanced through a priority algorithm, few use cases are focused, high coverage is achieved, and efficiency is improved.

The invention discloses an unmanned aerial vehicle autonomous cruise and obstacle avoidance method and system for a dynamic no-fly zone. Relates to the technical field of unmanned aerial vehicle autonomous navigation and path planning. The method comprises the following steps: issuing and keeping a no-fly zone set static in a task initialization stage; fusing the multi-source sensing data through a layered SLAM mapping module to generate an occupied grid map; performing global path planning by adopting an improved BFS algorithm and a weighted greedy strategy based on a map, and generating a patrol sequence covering reachable points; compressing and smoothing the spliced path to generate a final cruise trajectory; and triggering local trajectory re-planning for sudden obstacles in a non-no-fly zone based on SLAM perception in flight. According to the invention, autonomous cruise and dynamic obstacle avoidance with high coverage rate and low redundancy are realized under the condition of strictly following the constraint of the static no-fly zone.

The invention discloses a forestry ground multi-robot cooperative full-coverage path planning method and device based on a diffusion model, electronic equipment and a storage medium. The method comprises the following steps: constructing an enhanced environment model containing passing cost and reachability probability through multi-source sensor fusion; based on the model, generating a global path probability field with coherence and environmental adaptability by using a diffusion model; further realizing multi-robot self-adaptive task region division through a path flow field gradient; a local diffusion replanning mechanism is introduced for dynamic obstacles to carry out rapid path repair; and performing multi-objective optimization on the path in combination with a robot center Euclidean symbol distance field, and outputting an executable path meeting safety, smoothness and kinematics constraints. According to the method, through closed-loop design of perception, modeling, generation, division, re-planning and optimization, high-coverage, high-collaboration and high-robustness autonomous inspection of multiple robots in a complex forest region environment is realized, and reliable technical support is provided for smart forestry.

The invention relates to the technical field of wireless sensor networks, in particular to a heterogeneous wireless sensor network coverage method for a mountain new energy construction site, which comprises the following steps of: constructing a three-dimensional mountain monitoring area, inputting related parameters and establishing a multi-target optimization model taking the non-coverage rate, the reciprocal of the connectivity rate and the minimum total energy consumption as targets; initializing a dung beetle population, dividing the dung beetle population into four classes, obtaining an initial coverage scheme, and screening a non-dominated coverage scheme solution set for storage; iteratively updating the positions of various types of dung beetles based on a multi-target dung beetle optimization algorithm; the current coverage scheme and the archive set are combined, the archive set is updated after non-dominated sorting, and dense solutions are discarded to guarantee diversity when the scale is over-scale; and outputting a solution set after the maximum number of iterations is reached, and selecting a target scheme to complete node deployment. The method is adaptive to complex mountain scenes, network coverage and communication quality are improved, energy consumption is reduced, local optimum is avoided, and mountain monitoring effects of high coverage, low energy consumption and strong adaptation are achieved.

The invention provides a test case determination method and device, electronic equipment and a storage medium, and the test case determination method comprises the steps: determining a multi-dimensional feature vector of a test scene of an automatic parking function; determining the similarity between the test scenes based on the multi-dimensional feature vectors, and generating a similarity matrix based on the similarity between the test scenes; performing clustering analysis on all the test scenes based on the similarity matrix so as to classify the test scenes of which the similarity meets a preset clustering condition into the same cluster; and selecting a representative test scene from each cluster, and performing duplicate removal on the representative test scene to obtain a test case set. According to the method and the device, the test case with high coverage rate can be automatically and efficiently determined, and the redundancy of a test scene is reduced.

This invention relates to the field of strategic planning technology, and discloses a strategy generation method and system based on anchor bolt mesh installation. The method includes: acquiring all anchor bolt positions and mesh sizes within the tunnel, and correcting the mesh sizes; digitally twinning the anchor bolt positions in a three-dimensional coordinate system to construct a multi-layered mesh digital twin model; and performing multi-objective strategy optimization on the multi-layered mesh digital twin model to generate a mesh installation strategy on the anchor bolts. This invention can automatically generate mesh installation schemes with high coverage, low loss, and strong stability, reducing manual intervention, material waste and rework rates, effectively improving construction quality and automation levels, and has significant engineering application value and promising prospects for wider application.

The invention discloses a file processing method and device, a coverage rate collection method and device, electronic equipment and a storage medium. The file processing method comprises the following steps: in response to a packaging instruction for a service source code of a target service, if it is determined that the packaging instruction comprises a target parameter, importing a dependent packet for the target service; the target parameter is used for indicating that the target service has a coverage rate acquisition requirement; the dependency package comprises a file for realizing code coverage rate collection on the target service; in response to successful import of the dependency package, processing the dependency package based on the service source code to obtain a coverage rate toolkit; and based on the business source code packaging result of the business source code and the coverage rate toolkit, determining a target installation package for the target business. According to the method, the deployment efficiency of the code coverage rate collection function is improved, the deployment cost of the code coverage rate collection function is reduced, and then the purposes of improving the coverage rate collection efficiency and reducing the coverage rate collection cost are achieved.

The application relates to a room division covering system and method based on frequency shift MIMO technology, which comprises a signal source access layer, a frequency shift MIMO core processing layer and a distributed covering layer. The signal source access layer is used for acquiring multi-system signal sources; the frequency shift MIMO core processing layer is connected with the signal source access layer and the distributed covering layer respectively, is used for receiving the multi-system signal sources and the real-time feedback of channel parameters of indoor areas of the distributed covering layer, performing cooperative detection of channels and scenes, combining frequency shift MIMO technology to perform cooperative processing, and obtaining frequency shift-MIMO cooperative signals; and the distributed covering layer is used for receiving the frequency shift-MIMO cooperative signals, forming a radio frequency covering field based on frequency shift MIMO technology, accessing adaptive terminals, and collecting real-time channel parameters of indoor areas. Compared with the prior art, the application has the advantages of high covering rate and adaptive environmental change.

Provided is a multilayer ceramic capacitor provided with an internal electrode capable of maintaining a relatively high coverage rate even when the multilayer ceramic capacitor is thinned. A laminated ceramic capacitor (1) is provided with a laminated body (2) having: a plurality of laminated dielectric layers (3) containing a ceramic; and a plurality of internal electrodes (4, 5) disposed along each of a plurality of interfaces between the dielectric layers (3). When the conductive metal or the alloy containing the conductive metal is represented by X, the internal electrodes (4, 5) contain a conductive component and a ceramic component, the conductive component contains X, and the ceramic component contains XTiO3. Preferably, X is one selected from nickel, copper, silver and a silver-palladium alloy.

Providing a representative dataset from an initial dataset by accessing a dataset associated with a machine learning model, receiving input parameters associated with the representative dataset selection, the input parameters including an evaluation metric, determining a density of a plurality of datapoints associated with the dataset, training a first iteration of a machine learning model using a first data point selected according to the density, determining a first value of the evaluation metric for the first iteration of the machine learning model, generating a representative subset based on the first value of the evaluation metric value, and providing the representative dataset and a final machine learning model trained using the representative dataset.

The purpose of the present invention is to provide a composite film having a high coverage of a nanocrystalline plate and a high amount of light absorption per unit thickness. A composite film (10) including a nanocrystalline plate (11) having a composite layer structure in which a first layer containing a cation A to which ligands coordinate and a second layer containing a cation B and an anion X are alternately stacked, wherein the aspect ratio (L / S or S / L) that is a rectangular shape feature amount in a direction intersecting the stacking direction of the composite layer structure is 0.2-5, when the thickness of the nanocrystalline plate is denoted by t and the length of the short axis intersecting the stacking direction of the nanocrystalline plate is denoted by S, t and S satisfies S / t ≥ 3, and a variance σn of the number of stacked layers in the nanocrystalline plate is 0.7 or less.

The utility model relates to the technical field of time sequence control mainboard testing devices, in particular to a testing device of an OLED time sequence control mainboard, which comprises an OLED time sequence control mainboard main body, a signal input interface is arranged on the upper surface of the OLED time sequence control mainboard main body, a connecting area is arranged on the upper surface of the OLED time sequence control mainboard main body, and the signal input interface is connected with the connecting area. A first golden finger is fixedly arranged in the connecting area, a flexible printed circuit board is arranged above the OLED time sequence control mainboard body, and a second golden finger is fixedly arranged on the bottom face of the flexible printed circuit board. The OLED time sequence control mainboard testing device can be suitable for testing OLED time sequence control mainboards of different models, the design method of the device can be completely covered, meanwhile, on-load connection testing of the OLED time sequence control mainboards and full-function testing of products of the OLED time sequence control mainboards can be completed, high-coverage testing of a network is achieved, and the testing efficiency is improved. And traceless, damage-free, batch and efficient testing can be realized during testing.

The application provides a full-area coverage path planning method and device for a mowing robot, a terminal and a medium. The method comprises the following steps: abstracting an environment map by setting a virtual boundary line of one or more target mowing areas; determining a long-axis direction of a bow shape for each target mowing area and rotating each target mowing area; dividing the one or more target mowing areas into one or more sub-areas based on the boundary points of the rotated target mowing areas; performing path planning for each target mowing area based on the long-axis direction of the bow shape of the target mowing area; and connecting the bow-shaped paths of the target mowing areas based on a navfn algorithm to obtain a full-area coverage path corresponding to the environment map. The application can realize full-area coverage path planning, has a high coverage rate even for a complex mowing area, has a low repetition rate, and greatly increases the path planning efficiency of the mowing robot.

Provided is a multilayer ceramic capacitor capable of improving capacitance without increasing the size of the multilayer ceramic capacitor. In a laminated ceramic capacitor (1), a first facing portion (EA) of a first internal electrode layer (31) has a first high coverage area (EA0) which is disposed further toward the outside of a laminated body (10) in a lamination direction (T) than a first lead-out portion (D1) and which has a higher coverage rate than the first lead-out portion (D1), and a second high coverage area (EA0) which is disposed further toward the outside of the laminated body (10) in a lamination direction (T) than the first lead-out portion (D1). The second opposing portion (EB) has a second high coverage area (EB0) that is disposed further toward the outside of the laminated body (10) in the lamination direction (T) than the second lead-out portion (D2) and that has a higher coverage than the coverage of the second lead-out portion (D2).

The invention relates to the technical field of intelligent visual inspection, and particularly discloses a detection device for plastic woven bag production, which comprises two groups of support plates, a pay-off roller and a wind-up roller are rotatably mounted between the two groups of support plates, and two groups of separation plates capable of alternately sliding and adjusting up and down are arranged between the pay-off roller and the wind-up roller. A wire collecting device is arranged between the separating plate and the wind-up roller, a pay-off device capable of being adjusted in a reciprocating sliding mode is installed on the wire collecting device, and the device further comprises a detection assembly. According to the invention, the multi-angle relative position of the detection assembly and the woven cloth is dynamically adjusted through the adjusting assembly, so that the problems of laser diffuse reflection interference and visual noisy points caused by grid textures and concave-convex characteristics on the surface of the woven cloth are effectively solved; by means of the multi-angle data fusion technology, the recognition sensitivity of defects such as micro broken wires, low-contrast stains and embedded hard particles is remarkably improved, high precision and high coverage rate are achieved at the same time on the premise of non-contact detection, and the misjudgment rate and the omission ratio are greatly reduced.

The invention discloses a programmable online kernel self-diagnosis implementation method and a storage medium. The method comprises the following steps: S1, constructing a hardware architecture; s2, test excitation and signature pre-generation; s3, software programmable configuration is carried out; the CPU sets a test mode, the number of execution SEEDs, test granularity, clock distribution and start / stop through the configuration register; s4, preparing before testing; s5, executing an online test; reading SEED from the ROM, generating excitation by a Pattern generator, loading the excitation to a kernel scan chain, capturing output, generating an MISR, and comparing the MISR with a GOLDEN MISR; s6, fault processing and a safety mechanism; and S7, recovering after testing. The storage medium is realized based on the method. The method has the advantages of simple principle, wide application range, good flexibility, high coverage rate and the like.

The invention belongs to the technical field of automobile simulation tests, and particularly relates to a method for generating an automatic driving closed-loop simulation platform, which comprises the following steps of: constructing a scene database, and ensuring high coverage of a scene; any scene is selected from the scene database and input to the end-to-end model for simulation testing, a testing result is fed back to the input scene, and a closed loop is completed; and scene risk assessment: assessing whether the collision rate of the main vehicle in the scene is greater than a set value or not through an end-to-end model, if the collision rate is greater than the set value, judging that the scene is dangerous, inputting the scene into a fault case driving framework, generating a new dangerous scene, storing the new dangerous scene into a scene database, and storing the new dangerous scene into the scene database. And a dangerous scene is divided. According to the simulation scene automatic generation method, the defects of the background technology can be well overcome, and more dangerous scenes can be generated more efficiently with low risk by combining a data driving method and mechanism modeling for simulation testing.

The application belongs to the technical field of nano coating, and particularly relates to a super-black nano coating structure, which comprises a substrate, a transition layer deposited on the surface of the substrate by ALD, a light-absorbing layer deposited on the surface of the transition layer by ALD, and an anti-corrosion layer deposited on the surface of the light-absorbing layer by ALD. Compared with the prior art, the application uses the ALD technology to realize the super-black film of the substrate / transition layer (increasing adhesion) / light-absorbing layer (multi-layer interference film layer) / anti-corrosion layer (single layer or multiple layers) with low temperature (50-250 DEG C), high coverage, ultra-low reflection (less than or equal to 0.5%), high absorption efficiency (greater than or equal to 99.00%) and good bonding force, effectively expands the selection range of the substrate material, solves the problem that the current super-black film manufacturing process has a great limitation on the substrate material, and is difficult to be compatible with the low-temperature control and high coverage, high absorption rate of the film.

The invention discloses a high-strength power cable which sequentially comprises a special-shaped stranded conductor, a layered tooth-shaped insulating layer, a honeycomb-shaped filling layer, a spiral armor layer and a composite sheath layer from inside to outside. The invention discloses a manufacturing method of a high-strength power cable. The manufacturing method comprises the following steps: S1, manufacturing a special-shaped stranded conductor; s2, forming a layered tooth-shaped insulating layer; s3, assembling the honeycomb-shaped filling layer and the spiral armor layer; and S4, forming the composite sheath layer and processing a finished product. The occlusion type structure of the special-shaped stranded conductor is matched with the graphene modified conductive paste, so that the tensile strength and the structural stability of the conductor are greatly enhanced, and deformation and strand breakage are effectively avoided; the stainless steel wire armor layer which is locked in a reverse spiral mode improves shock resistance and extrusion resistance with high coverage rate and pre-tightening force, and meets flexible laying requirements. And due to the adaptive structure and the wave-shaped design of the composite sheath layer, the interlayer binding force is optimized, and the cable is endowed with excellent wear resistance, aging resistance and bending resistance.

The invention provides a conformal mapping-based robot polishing path planning method, which comprises the following steps of: obtaining a to-be-polished model, and mapping the to-be-polished model to a two-dimensional parameter domain through conformal mapping to obtain a two-dimensional mapping model; performing boundary constraint and path cutting on the two-dimensional mapping model according to a preset processing area to obtain a marching path; generating a two-dimensional path according to the two-dimensional mapping model and the advancing path; and the two-dimensional path is inversely mapped to the to-be-polished model, and a planned path is generated. The to-be-polished model is mapped to the two-dimensional parameter domain, the path planning problem of the complex three-dimensional curved surface is converted into the simplification problem in the two-dimensional parameter domain through the differential geometry theory, the adaptability of path planning to the geometric model is improved, and the calculation complexity is reduced through efficient discretization and local optimization algorithms while the high coverage rate is guaranteed.

The invention relates to a front-end intelligent abnormity protection self-healing method and device based on Vue3 and Vite, and belongs to the technical field of front-end application operation safety and self-healing. The device comprises a construction period plug-in mounting subsystem, an operation period subsystem, a strategic self-healing engine, an action actuator and a feedback evaluation module. The method comprises the steps of construction period plug-in mounting and front-end operation monitoring. Reporting an exception and issuing a strategy; automatic retry, hot repair, functional degradation, or secure fallback is performed according to the policy. According to the method, high-coverage-rate front-end anomaly detection, low-interruption-rate fault-tolerant operation, automatic fault self-healing and auxiliary quantifiable operation and maintenance cost reduction are realized technically.

The application discloses a mower path planning method and belongs to the field of agricultural robots. A full-coverage path planning algorithm based on a DARP+ simulated annealing algorithm+ geometric method is provided. The full-coverage path planning algorithm based on the application has the advantages of small overall cost, less turning times of the mower, high coverage rate, small operation amount of the generated path, fast path generation speed, obstacle avoidance, consideration of the vehicle size when setting the safety distance, high safety of the generated path, avoidance of repeated work and omission in the mowing operation, high mowing efficiency and greatly reduced cost. The method can be used for full-coverage path planning of the mower in any land and can avoid obstacles.

A memory system disclosed herein features left and / or right memory banks, with left and / or right input / output (IO) blocks aligned with the memory banks for managing data input and output. A control section, situated between the left and right input / output blocks, oversees memory operations, receives control signals, and performs stuck-at testing. The control section includes fault detection logic designed to output a first logic value (e.g., logic low) if logic values at each of its external inputs are identical, but output a second logic value (e.g., logic high) if not. The fault detection logic is capable of detecting stuck-at faults in the external inputs by performing both stuck-at-0 and stuck-at-1 testing. If only stuck-at-0 or stuck-at-1 faults are detected, the fault detection logic can pinpoint those faults by iteratively changing input values at each of its external inputs and observing the output of the fault detection logic.

The invention discloses a micro-grid planning method and system based on an improved normal boundary crossing method. The method comprises the following steps: constructing an objective function of a micro-grid planning model considering ecological, climate and human settlement influences; constructing constraint conditions of the micro-grid planning model considering environmental benefit constraints; constructing a compact form of a micro-grid planning model; solving to obtain a Pareto leading edge based on an improved normal boundary crossing method of Euclidean distance correction for a compact micro-grid planning model; and selecting an optimal compromise solution from the Pareto leading edge to obtain a micro-grid expansion planning scheme. According to the method, ecological, climate and human settlement influences are integrated, the modeling environmental benefits are quantified, and the environmental adaptability of micro-grid planning is improved; according to model nonlinearity caused by environmental benefit modeling, an improved normal boundary crossing method based on Euclidean distance correction is designed for solving, the solution set uniformity of the Pareto front is improved, aggregation or vacant areas of the solution set are avoided, and a candidate scheme set with higher coverage is provided for decision makers.

The invention discloses a deep groove silicon capacitor based on an inclined laying and close arrangement array of a cross-shaped structure unit, and belongs to the technical field of silicon capacitors. According to the structure, a plurality of cross-shaped groove structure units are etched on a silicon substrate, the groove structure units rotate by an angle alpha with the center of the groove structure units as the axis and then are laid in an inclined mode according to the interval d to form a close-packed array, the angle alpha meets the requirement that d is the minimum interval between the groove structure units, and d is the minimum interval between the groove structure units. And a single-layer capacitor dielectric structure or a multi-layer capacitor dielectric parallel structure is arranged in the groove structure unit. The invention has the advantages of higher capacitance density, better film deposition effect and coverage rate, and excellent performance.

The invention discloses an anti-permeation attack method for a large model dialogue robot, relates to the technical field of intelligent questions and answers, and solves the technical problems of high delay, low coverage rate and high cost of an existing anti-permeation attack method. The method comprises the following steps: determining an attack theme needing to be protected; based on the large model, a penetration attack case is generated for the attack subject to serve as an attack question for the chat robot model; testing chat robot models in batches by using attack questions, dividing the attack questions into positive examples and counter examples according to whether the attack succeeds or not, and collecting feedback of corresponding chat robots; searching sentence pairs corresponding to positive examples and counter examples based on the similarity to form a plurality of positive and negative control groups; taking answers of successful defense and failed defense of the chat robot model as examples of enhanced training to construct a data set, and performing DPO training on the chat robot model; continuously repeating the steps until the chat robot model reaches the standard; the anti-permeation attack method provided by the invention is low in delay, high in coverage rate and low in cost.

The application provides a unit test case automatic generation method and device based on preferred iteration feedback, which comprises the following steps: setting a target module identifier and a target code coverage rate of a test case to be generated; extracting source code of the target module and necessary reference code; encapsulating the source code of the target module, the necessary reference code, a project status, a requirement description and feedback information into a template prompt word, inputting the template prompt word into an AI model to generate a unit test case; performing iteration legality verification and / or correction on the generated unit test case until the unit test case passes the compilation; executing the test case that passes the compilation to obtain a current code coverage rate and un-covered code information; judging whether the code coverage rate of the unit test case that passes the compilation is greater than a cached historical highest coverage rate; and judging whether the code coverage rate of the highest coverage rate test case obtained is greater than the target code coverage rate. The application can efficiently generate a unit test case with high quality, high coverage rate and operability.

The present disclosure provides an implementation method, system, electronic device and storage medium of a telecommunications identification network to solve the technical problem of difficult construction of a telecommunications identification network, the method comprising: expanding a plurality of NFs satisfying the TIN based on the SBA architecture of the core network, wherein the plurality of NFs comprise: TSRF, TARF, TDSF, TASF, and the plurality of NFs are connected with the core network through a bus; completing service discovery, configuration and management of the TIN service through the TSRF; completing address resolution of the TIN code through the TARF; completing storage of different types of TIN identification data in the corresponding storage location of the MEC in the corresponding edge computing MEC storage mode through the TDSF; and completing permission control of TIN data writing and reading through the TASF. The present disclosure can make full use of the high performance, high rate, high coverage, high reliability and security of the 5G network, reduce the cost of the identification network, and improve the performance of the identification network.