76 results about "High coverage" patented technology

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.

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.

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 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 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 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.

This invention provides a graded embolization protection device, belonging to the field of vascular interventional medical device technology. The device includes a delivery guidewire, with multiple protection units fixedly arranged at intervals at the distal end of the guidewire. Each protection unit has a proximal open end and a distal closed end, and each protection unit has a flexible support frame for support at a target location. Multiple open areas are formed on the support frame, and a soft, elastic filter membrane is arranged on the edge of each open area or on the sidewall of the entire support frame to cover the open area. In use, the multiple protection units are axially deployed graded along the target location, with the flexible support frame of each protection unit fully conforming to the inner wall of the blood vessel, and the soft, elastic filter membrane intercepting emboli in the blood flow. This addresses at least the technical problems of existing embolization protection devices, such as poor flexibility due to the high coverage of the rigid support structure, difficulty in adapting to complex vascular morphologies, and poor fit with the vascular wall, leading to embolism escape.

An electroplated part, which contains hardly any organic residues and has a uniform electroplated layer. An electroplating method for preparing the electroplated part is also provided. By controlling the ratio of the length of the motion trajectory of the electroplated part relative to an anode during the electroplating process to the width of the anode, and adding auxiliary cathodes to the electroplated part, the electroplating method improves the uniformity of the thickness of the electroplated layer at various positions of the electroplated part. A fixture for implementing the electroplating method and an electroplating apparatus are provided. The electroplated layer of the electroplated part prepared by the electroplating method has relatively uniform thickness and a high coverage rate, problems such as burn and fracture have hardly occurred during the electroplating process of the electroplated part, the yield of electroplated parts is high, and the scrap rate is low. In addition, the precision of the weight of plated layers of electroplated parts can reach 99% or above.

This invention relates to the field of 3D model processing technology, and more particularly to a method and system for selecting solar array cells based on 3D layout. The method includes the following steps: acquiring 3D data of the solar array, and constructing a 3D substrate model based on the 3D data to obtain a 3D model of the solar array; performing structure-driven deployment strategy simulation on the 3D model of the solar array to obtain fixed simulation data, and performing perturbation-based layout scheme generation on the 3D model of the solar array using the fixed strategy simulation to obtain random simulation data; performing regional structural domain analysis on the fixed simulation data and random simulation data to obtain regional structural domain data, and performing optimal layout sorting on the regional structural domain data to obtain layout sorting data; and exporting the layout sorting data as 2D drawings to obtain solar array cell selection data. This invention can effectively expand the diversity of schemes, improve local adaptability, and achieve high coverage and optimal sorting output while ensuring structural constraints.

The present application provides a method and an apparatus for determining a failure probability in a simulation test for autonomous driving and relates to the technical field of autonomous driving, wherein the method comprises: performing a high-coverage uniform sampling in a high-dimensional parameter space corresponding to a scene of autonomous driving logic to obtain a collection of first test scenes; performing a simulation test for each first test scene in the collection of first test scenes to obtain a first test indicator value of a system under test of a vehicle under test in each first test scene; determining a scene weighting of each first test scene in the high-dimensional parameter space; determining a first test failure probability of the system under test based on the scene weighting and the first test indicator value.Performing a sensitivity analysis for initial scene parameters that influence the first test indicator value to determine sensitive scene parameters; reducing the high-dimensional parameter space to a low-dimensional parameter space consisting of the sensitive scene parameters if the first test failure probability does not meet the accuracy requirement; and performing a reliability analysis of the low-dimensional parameter space to determine a second test failure probability of the system under test, using the second test failure probability as a final failure probability. The method and apparatus for determining a failure probability in an autonomous driving simulation test solves the problem that the relevant failure probability determination methods have low computational efficiency.

The invention relates to the technical field of semiconductor preparation, in particular to a semiconductor gaseous molecular pollutant high-coverage detection mass spectrum device and method. The device comprises a quasi-normal-pressure chemical ionization cavity, a differential transmission cavity, a low-pressure chemical ionization cavity and a mass analyzer which are sequentially connected in series, wherein vacuum difference is realized among the cavities through three ion extraction electrodes; the quasi-normal-pressure chemical ionization cavity performs chemical reaction ionization on polar components of sample gas through first reagent ions and transmits the first reagent ions and the polar components of the sample gas; the differential transmission cavity is used for efficiently transmitting the ionized sample; and the low-pressure chemical ionization cavity carries out low-pressure chemical ionization on the non-polar or weak-polar neutral sample which is not ionized through second reagent ions, and the second reagent ions are efficiently transmitted into the mass analyzer for mass spectrometric detection. According to the invention, the coupling of the quasi-normal-pressure chemical ionization source and the low-pressure chemical ionization source is realized through the multi-stage vacuum differential design, so that the non-polar or polar trace AMC compounds in the semiconductor can be detected with high sensitivity and high coverage.

The invention belongs to the technical field of nondestructive testing of storage and transportation facilities, and relates to an internal detection device for a large-diameter pipeline. The internal detection device comprises a mobile chassis; the moving wheel assembly is arranged below the moving chassis; the permanent magnet is arranged below the movable chassis, and a gap is reserved between the permanent magnet and the large-diameter pipeline; the support arm assembly is arranged above the movable chassis; the conductive slip ring is arranged above the support arm assembly; the rotating shaft is arranged at the end part of the conductive slip ring; the detection unit is connected with the rotating shaft through a third support arm; the distance between the axis of the rotating shaft and the large-diameter pipeline is the radius of the large-diameter pipeline, so that the detection unit can circumferentially move along the inner wall of the large-diameter pipeline around the rotating shaft. The internal detection device disclosed by the invention can adapt to ultra-large pipe diameters, has stable driving and passing capabilities, and can realize novel pipeline internal detection with high precision and high coverage rate.

The invention discloses a numerical control machining defect detection method and a numerical control machining defect detection device. The numerical control machining defect detection device comprises a bed frame, a movable rotary tool, a machine box and a fixed rotary tool, wherein the movable rotary tool and the machine box are installed at the left position and the right position of the top end of the bed frame respectively, and the fixed rotary tool is installed in the machine box and used for clamping a shaft body workpiece to be detected; the bottom table is arranged between the movable rotary tool and the machine box and is installed at the top end of the bed frame in a sliding mode through a guide rail, a rectangular frame is fixed to the top end of the bottom table, and a rotary drum structure which is collinear with the rotary axis of the movable rotary tool and the rotary axis of the fixed rotary tool is rotatably installed in the rectangular frame. According to the invention, the chain wheel translation structure drives the rectangular frame and the drum structure to move axially, the gear rack following rotation structure enables the drum structure to rotate in the moving process, and then the CCD camera and the wireless dial indicator revolve around the shaft body workpiece so as to complete appearance vision and radial run-out detection of each part. And the synchronous, efficient and high-coverage detection of the appearance and the radial run-out defect of the workpiece is realized.

The invention relates to the technical field of network planning, and discloses an intelligent wireless network networking method and system, and the method comprises the following steps: 1, obtaining basic spatial data, binding the length and trend of a street to a street network, and calculating the geodesic distance and tangential direction of any two points; 2, selecting anchor points, constructing a minimum spanning tree, and mapping to a street network to form a return skeleton tree; step 3, generating candidate stations along streets according to step length, and supplementing and screening at intersections to form an initial station set; step 4, performing geodesic Voronoi division, and newly adding sites to obtain a first site set; step 5, marking backbone nodes and access nodes and distributing father nodes; step 6, constructing a coupling adjacency graph and adjusting sites to generate a second site set; and step 7, detecting coverage, isolation and communication sufficiency, and outputting a final site set when the coverage, isolation and communication sufficiency are all satisfied. According to the invention, intelligent wireless network networking with high coverage rate, high isolation and high connectivity is realized.

The invention discloses a main diagnosis quality control method based on an inference thinking mode, which comprises the following steps: firstly, collecting massive original electronic medical record data, and then combining the collected medical record data with different LLM models to construct a fine tuning data set; then selecting an LLM base model, and performing SFT fine tuning on the LLM base model by adopting a LoRA technology to obtain an LLM fine tuning base model; continuously carrying out GRPO reinforcement learning on the LLM fine tuning base model by adopting a LoRA technology to obtain a quality control model after reinforcement learning; and finally inputting to-be-analyzed electronic medical record data into the quality control model, and outputting a corresponding quality control analysis result by the quality control model. The method has the remarkable effects that various demands of high efficiency, high precision, high interpretability, high coverage rate, low maintenance, clinical easiness in use and the like are simultaneously met in the same technical framework, and the technical blank of the main diagnosis quality control field is filled; and a landing, sustainable and extensible normal form-level solution is provided for medical insurance settlement, performance assessment and medical data management.

The invention discloses an electrotransfection module for organ conformal, a bioelectronic patch and a preparation method and application of the bioelectronic patch, an electrotransfection module body is of a paper-cut structure and comprises a substrate layer, an electrode layer, a medicine storage layer and a nanopore layer, and the substrate layer, the electrode layer, the medicine storage layer and the nanopore layer are sequentially stacked together from bottom to top; cutting according to a paper-cut pattern conformal with the target organ to form inlaid paper-cut units connected through hinges; and integrating a wireless communication module to obtain the bioelectronic patch. A paper-cut conformal theory is adopted, a paper-cut structure electrotransfection module and a bioelectronic patch for organ conformal are designed and prepared on the basis of the characteristic slope of a target organ, seamless covering of the target organ is achieved, and meanwhile safe, controllable and efficient intracellular delivery at a target part is achieved; it is ensured that the electrotransfection module and the bioelectronic patch have the structural conformity and the high coverage area of a target organ, and therefore efficient and uniform whole-organ delivery is achieved, and the electrotransfection depth is increased.

The present application belongs to the field of precision microfabrication, and discloses a microstructure substrate film forming method combining ultrasonic oscillation and doctor blade coating, comprising the following steps: positioning and fixing the microstructure substrate; improving the wettability of the microstructure substrate; removing the excess solution on the microstructure substrate and leveling the liquid film. The microstructure substrate is immersed into the solution in the ultrasonic instrument, the solution is oscillated by the amplitude and frequency of the ultrasonic wave, the contact angle of the solution at the bottom of the microstructure is reduced by the hysteresis effect of the contact angle, and the air layer at the bottom of the microstructure is removed by the cavitation effect of the ultrasonic wave, so as to enhance the wettability of the solution to the bottom of the microstructure. The wettability of the solution to the microstructure substrate is effectively improved, the problems of poor wettability of the solution to the bottom of the microstructure, multiple repetitive operations and long process in the existing single wet coating method are overcome, and the thin film with high coverage, ideal film thickness and uniformity is prepared on the microstructure substrate.

This invention discloses a ranking information recommendation method based on distribution entropy, belonging to the field of recommendation strategy technology, including the following steps: S1, obtaining ranking information: each ranking entity ranks all or a portion of the evaluated objects separately; S2, networking the ranking data: constructing an undirected weighted network; S3, the ranking information recommendation method based on distribution entropy: introducing global edge weight distribution entropy, quantifying the uniformity of edge weight distribution, and designing a recommendation scoring mechanism based on the quantification results. This invention, employing the above-mentioned ranking information recommendation method based on distribution entropy, not only provides an intuitive and scientific means to objectively evaluate the quality of ranking data, but also, through a low-computational-cost, high-generalization-ability mechanism, suppresses the Matthew effect in the evaluation system from the source, ensuring that the final obtained ranking set has extremely high coverage and fairness, providing solid data support for scientific decision-making in the field of computer and auxiliary equipment repair.