2440results about How to "Improve general performance" patented technology

The invention discloses a segmentation method for rail defect detection based on improved YOLOv10 and SETR, and the method comprises the steps: S1, collecting image data, carrying out the enhancement processing of the image data, carrying out the segmentation processing, and making a data set; s2, an improved YOLOV10 algorithm model is built and trained; s3, using the improved YOLOV10 model weight to detect image data to be detected, judging whether defects exist or not, if the defects are detected, storing detection frame information of the defects, and outputting a target detection frame and confidence; and S4, transmitting the detection frame information as prompt information into the SETR model, segmenting the target by adopting the SETR model to obtain a segmentation result, and outputting a mask pattern. The improved YOLOv10 algorithm and the SETR algorithm are adopted to detect the rail defects, the calculation complexity and the efficient detection speed are kept, the detection precision is improved, and the robustness of the model is improved.

The invention belongs to the technical field of power prediction, and discloses a new energy power prediction method and system based on multi-source meteorological data fusion, and the method comprises the steps: obtaining meteorological data from different meteorological data sources in real time or at regular time through a data obtaining module; carrying out preliminary screening and preprocessing on the obtained data by utilizing a data processing module; the data fusion module is used for integrating meteorological data from different sources by adopting an advanced data fusion algorithm to eliminate data redundancy; a mathematical model or a machine learning model suitable for new energy power prediction is constructed by using the prediction model module based on meteorological data of multi-source fusion; and the result output and evaluation module is used for outputting the prediction result to a user in a visual form, and carrying out real-time or regular evaluation on the prediction result. The method has the characteristics of diversified data sources, advanced data fusion technology, flexible prediction model construction, high real-time performance and accuracy, wide application scenarios and the like.

The invention provides a multi-degraded image restoration method based on self-adaptive prompt. The method comprises a two-stage hidden space diffusion model, and various degraded images can be flexibly processed. Specifically, the model generates a degradation cue by learning the difference between a degraded image and a clean image, and encodes the cue information in a hidden space. In the first stage, a degradation prompt is obtained through a degradation adaptive prompt learning mechanism as a key feature for guiding the diffusion model in the second stage to carry out image restoration. Finally, prompt information is integrated into a Fourier transform restoration network, and accurate restoration of different types of degraded images can be realized. The method not only improves the accuracy of image restoration, but also significantly reduces the calculation complexity, and is suitable for image restoration tasks in various real world scenes, including denoising, deblurring, defogging, rain removing, snow removing, raindrop removing and low illumination enhancement.

The invention relates to the technical field of medium and small span bridge construction and control, in particular to a precast beam size matching method and system based on a three-dimensional laser scanner, and the method comprises the steps: obtaining precast beam point cloud data, carrying out the preprocessing of the precast beam point cloud data, carrying out the registration of the preprocessed precast beam point cloud data with a BIM model, and obtaining the size of a precast beam. The automatic detection of the structure size is realized; then, by obtaining interface angular points of the precast beams, conducting virtual splicing by aligning the cross section angular points of the adjacent precast beams, simulating the field splicing process and obtaining key construction details, accurate and reliable data support is provided for follow-up construction, it is ensured that each beam section can conform to design specifications during splicing, and therefore potential safety hazards are reduced; the controllability and scientificity of the construction process are improved, the construction efficiency is improved, the construction period is shortened, the service life of the bridge structure is prolonged, and the structural reliability is improved. The problems of low precast beam parameter detection efficiency, high operation difficulty and low accuracy in the prior art are solved.

The invention discloses a roadway cleaning robot autonomous navigation and operation system based on multi-sensor fusion. The roadway cleaning robot autonomous navigation and operation system comprises a mechanical system, a control system and a power system. The mechanical system comprises a crawler chassis, a mechanical arm and a big arm turntable; the control system software part presentation layer comprises a user interaction and management module, the business layer comprises a task planning and decision module, and the function layer comprises a robot autonomous walking control module, a roadway deformation detection module, a mechanical arm accessory replacement control module and a mechanical arm roadway cleaning control module. The sensing layer comprises an infrared person detection module, a laser radar mapping positioning module, a mechanical arm visual positioning module and a mechanical arm state feedback calculation module; the hardware part comprises a laser radar, an IMU, a sensor and the like. Various sensor data are fused, accurate positioning, autonomous walking, mechanical arm visual positioning, roadway deformation detection, accessory automatic replacement, roadway automatic cleaning and the like of the robot are achieved, and the intelligent level and the working efficiency of the robot are improved.

The invention discloses an integrated simulation method for flood routing, and the method is characterized in that the method comprises the following steps: delineating the plane contour of a ground feature in a research region, and carrying out the recognition and classification of the ground feature; fine modeling of ground objects in the research area is carried out; performing space-time numerical discretization on a two-dimensional control equation describing water flow movement on a computational grid, and constructing a two-dimensional hydrodynamic solver; establishing a ground feature calculation module and a connection calculation module of the river channel and the urban / flood storage and detention area along the river; establishing a space-time connectivity control module of the river channel and the urban / detention and detention area along the river, and carrying out simulation of flood routing and regulation and control of the river channel and the urban / detention and detention area along the river step by step; results such as a water flow plane physical field, a section water level and a flow process calculated by the flood rehearsal cooperative work system are stored in a hard disk, and flood regulation and control analysis and evaluation are carried out. The method has the advantages of being good in stability, high in reliability, high in calculation efficiency, high in universality and the like.

The invention relates to a method for identifying and extracting a potential sliding surface of a side slope under three-dimensional numerical simulation analysis, and belongs to the field of traffic side slope engineering. According to the method, a strength reduction technology does not need to be introduced, a rock-soil body shear strength criterion is not limited, after the slope stress field is obtained through numerical simulation calculation, the three-dimensional slope potential sliding surface can be efficiently, automatically and intelligently recognized and extracted, the obtained potential sliding surface conforms to a slope shear failure mechanism, and the method is suitable for large-scale popularization and application. The actual damage form of the three-dimensional slope in a real scene can be effectively displayed; according to the method, the sliding circumference boundary line of the three-dimensional potential sliding surface is determined firstly, and then the discrete points of the three-dimensional potential sliding surface are extracted within the range, so that intelligent identification and extraction of the three-dimensional potential sliding surface are facilitated. The method has the advantages of being wide in application range, high in efficiency, small in deviation, high in universality, good in effect, low in cost and the like, has the automatic and intelligent characteristics, and can provide a powerful scientific basis for slope potential instability range prediction and reinforcement area determination in actual engineering.

According to the seawall ecological slope protection structure and the construction method thereof, the seawall ecological slope protection structure comprises a seawall body, the seawall body is filled with mud filling pipe bags, a wave wall is arranged at the top of the seawall body, a bagged gravel layer is laid on the slope surface of the seawall body, a polyurethane gravel protection slope is laid on the bagged gravel layer, and a wave dissipation platform is arranged on the slope surface; according to the seawall, the structural porosity of the seawall can be effectively improved, energy transportation and material exchange between the ocean and the land can be continued, meanwhile, the wave dissipation effect is good, and the structure is resistant to corrosion; the method is simple in form and high in universality, the construction step of cast-in-place concrete of a traditional seawall concrete slope protection structure is basically avoided, the site construction period and maintenance period are greatly shortened, the porosity of the polyurethane gravel slope protection is high, plant growth is facilitated, and the ecological property of the seawall structure is improved; and a good ecological effect can be created.

The invention relates to the technical field of livestock breeding instruments, and discloses an auxiliary fixing device for animal husbandry veterinary examination, which comprises a fixing cage, fences are arranged on the periphery of the fixing cage, a fixing cage base is used as a horizontal plane, for two oppositely arranged fences in the X-axis direction of the fixing cage base, a neck clamping device is arranged in one of the fences, and the neck clamping device is arranged in the other of the fences. One fence is of a movable structure and moves towards the neck clamping device under the action of a driving mechanism, a cage door is formed in the fence, and a lower fixing device is arranged on the lower portion of the fixing cage and used for limiting and supporting the abdomen and four limbs of the livestock. Lifting frames are arranged on the two sides of the outer portion of the fixing cage in the Y-axis direction. The lower fixing device and the upper fixing device are matched with each other, the abdomen, the four limbs and the back of the livestock are limited, supported and clamped in all directions, so that the livestock is difficult to struggle off and keeps a relatively stable posture, and a safe and reliable foundation is provided for subsequent inspection operation.

The invention provides a safe non-interactive comparison method and device for multi-party set intersection, and relates to the technical field of privacy set intersection comparison methods. The method comprises the following steps: carrying out data collection on software services of a plurality of service providers; determining a communication structure and a multi-party information exchange demand according to the advertisement scene delivery demand; performing offline data storage by adopting a cuckoo hash function to obtain a multi-party hash table; constructing a linear homomorphic hash function according to the multi-party hash table; generating a random number set offline through a trusted third party; according to the multi-party hash table, performing calculation based on one-out-of-two casual transmission to obtain a shared value set; and based on a communication protocol, the random number set, the linear homomorphic hash function and the sharing value set, performing non-interactive comparison according to a multi-party hash table to obtain an advertisement putting sharing data intersection. The non-interactive comparison method is based on non-interaction and is high in processing efficiency and high in universality.

The invention discloses a road small target detection algorithm based on Real-ESRGAN and improved YOLOv5, and the algorithm comprises the steps: S1, preparing a data set, collecting data, and dividing the data into a training set, a verification set and a test set; s2, building a YOLOV5 algorithm model, inputting data and training the data to obtain a YOLOV5 algorithm model weight; the trained YOLOV5 algorithm model weight is used to detect whether a small road target appears, and if yes, a detected image frame is intercepted and stored; s3, performing super-resolution reconstruction on the detected image frame, and outputting a detection frame image after the super-resolution reconstruction; and S4, identifying the output detection frame image after super-resolution reconstruction, and updating a detection result after classification. By adopting the Real-ESRGAN and the improved YOLOv5 detection algorithm, the detection confidence and accuracy of the small road target are improved, and the false detection and missing detection conditions are reduced.

The invention belongs to the technical field of network security, and discloses an Internet of Things attack detection method based on deep learning, which eliminates redundant features through feature selection, enhances inter-class difference and intra-class similarity of selected feature subsets, solves the problem of class imbalance in an attack detection data set by utilizing EQLv2, and improves the attack detection efficiency. And meanwhile, constructing a space-time model to extract space-time information of the sample. According to the method, multi-classification performance evaluation is carried out on an Internet of Things attack detection reference data set NSL-KDD and a CIC-IDS-2017, the advantages of the method are verified from five indexes including the accuracy rate, the precision rate, the recall rate, the F1 score and the false alarm rate, and the effectiveness and feasibility of the method are reflected when the method is compared with a plurality of methods.

The invention discloses an unmanned charging control method, device and system and a storage medium, and the method comprises the steps: responding to a vehicle parking signal when the vehicle parking signal corresponding to a to-be-charged vehicle is obtained, and controlling a six-degree-of-freedom mechanical arm control mechanism to execute a charging gun grabbing action, controlling the charging gun to move to a target charging position corresponding to the vehicle to be charged; when the charging gun moves to the target charging position, the six-degree-of-freedom mechanical arm control mechanism is controlled to execute the charging gun plugging action, so that the charging gun is controlled to be in butt joint with the vehicle needing to be charged; and when butt joint is completed, the six-degree-of-freedom mechanical arm control mechanism is controlled to execute a homing action, and the charging pile is controlled to charge the vehicle needing to be charged through the charging gun electrically connected with the charging pile. Quick response and power matching of the electric vehicle on any charging parking space can be achieved, universality and practicability are high, charging power is large, efficiency is high, and unmanned intelligent charging is truly achieved; the device is simple in structure, mature in technology, low in cost and suitable for popularization and application.

The invention provides a stratosphere aircraft cross-day and cross-night task trajectory planning method and system in a dynamic wind field environment. The method comprises the steps that a task target and task constraints are acquired; acquiring external wind field information; constructing a motion model and a cost function of the stratosphere aircraft in the dynamic wind field; and outputting the lowest feasibility requirement of the cross-day and cross-night task under the dynamic wind field condition and the optimal trajectory when the task is completed by using a level set method in combination with particle swarm optimization. The method has the advantages that a combination framework of the level set algorithm and the particle swarm algorithm is innovatively provided, the problem that the level set algorithm has strong dependence on initial conditions is solved, meanwhile, the search space dimension is reduced, and the probability that the algorithm falls into a local optimal solution is reduced; by flexibly designing a fitness function, conditions such as speed constraint, energy consumption constraint and task feasibility of a stratosphere aircraft cross-day and cross-night arrival or residence task can be comprehensively considered, and the globality and constraint compatibility of trajectory optimization are realized.

The invention relates to a rice growth process three-dimensional scene construction method based on a crop growth model and a rendering engine, and the method comprises the following steps: obtaining plant density, distribution, leaf inclination angle distribution, a leaf spectrum, a canopy spectrum and substrate reflectivity through a field experiment, and constructing a single-plant rice 3D model; coupling a crop growth model, and describing vegetation canopy reflection characteristics through canopy structure parameters and leaf BRDF to simulate canopy reflection factors; respectively calculating a water body scattering phase function and a water surface BRDF according to the water body biological optical model and the wave water surface reflection model; generating a three-dimensional water body volume model through an AVRM model; blender software is combined with a LuxCoreRender rendering engine to couple incident radiation, vegetation canopy reflection factors, water optical attributes and other related input parameters, and a real rice scene is constructed. According to the method, the high-precision three-dimensional rice scene model is established, important technical support is provided for improving the precision and efficiency of rice remote sensing radiation modeling and further for agricultural remote sensing and wetland monitoring, and the method has popularization and application prospects.

The invention discloses a frequency modulation response analysis-oriented wind power plant improved single-machine equivalence method and system, and belongs to the technical field of power system new energy station modeling. The method aims at solving the problem that a system frequency response characteristic analysis result is distorted when new energy participates in frequency modulation due to the fact that a traditional wind power plant equivalent modeling method oriented to frequency modulation response analysis in current practical engineering cannot adapt to a frequency modulation response analysis scene. According to the method, wind turbine generators in a wind power plant electromagnetic transient model are divided into two groups according to whether the wind turbine generators participate in frequency modulation or not by taking an active output threshold Tp as a grouping point in a steady state, and the frequency modulation power of an equivalent machine is corrected; calculating an improved virtual inertia coefficient and a droop coefficient of the equivalent machine through the corrected frequency modulation power; in addition, the equivalent machine adopts overspeed load shedding control to realize load shedding operation, and cooperates with virtual inertia control and droop control to participate in system frequency modulation. The method is used for single-machine equivalence of the wind power plant.

The invention relates to the technical field of motor faults, and discloses a motor fault detection method and system. Motor operation data are collected in real time through a sensor, and data preprocessing is carried out to eliminate noise and missing values. A deep learning algorithm based on an attention mechanism is adopted, historical motor operation data and fault data are combined, and a motor fault model is established. And inputting the preprocessed real-time data into the model, and outputting the probability of various faults of the motor. And when the probability of a certain fault exceeds a preset threshold value, triggering an early warning strategy. Meanwhile, the invention further provides a motor fault detection system which comprises a data acquisition module, a data preprocessing module, a model construction module, a fault detection module and an early warning strategy module, and intelligent and automatic detection and early warning of motor faults are achieved. According to the method and the system, the accuracy and the robustness of fault identification are improved, the safe and stable operation of the motor and the system is ensured, and the method and the system have wide application prospects.

The utility model relates to mesh spot welding equipment. The mesh spot welding equipment comprises a controller, the reinforcing steel bar assembling platform comprises a frame body, a longitudinal positioning assembly used for positioning and placing longitudinal reinforcing steel bars and a transverse positioning assembly used for positioning and placing transverse reinforcing steel bars. The material preparation frame is provided with an upper-layer material preparation area and a lower-layer material preparation area which are used for placing the reinforcing steel bar assembling platform; the moving mechanism comprises a three-axis moving platform and a positioning frame used for positioning and placing the steel bar assembling platform, the three-axis moving platform is arranged close to the material preparation frame, the three-axis moving platform drives the positioning frame to move, and the positioning frame can directly face the upper-layer material preparation area and the lower-layer material preparation area; the spot welding mechanism comprises a first lifting assembly, a second lifting assembly and an electrode welding machine, the electrode welding machine comprises a machine table, a first electrode column and a second electrode column, the first lifting assembly drives the first electrode column to move up and down, and the second lifting assembly drives the second electrode column to move up and down. The mesh cutting device can be used for processing meshes of various specifications, and is simple and convenient to adjust and high in efficiency.

The invention provides a grouting curtain parameter design method for structure protection under the blasting vibration effect, and relates to the technical field of underground engineering and blasting engineering, and the grouting curtain parameter design method comprises the following steps: S1, determining main factors influencing the vibration velocity of a protection structure, and constructing a vibration velocity prediction model containing an undetermined coefficient by adopting a dimension analysis white golden-han theorem; s2, establishing a finite element blasting numerical model, and obtaining structural vibration velocity data under different parameter combinations; s3, fitting the structural vibration velocity data by using the vibration velocity prediction model, and determining an undetermined coefficient in the vibration velocity prediction model; and S4, a relational expression between the structural vibration velocity and stress is established, and grouting curtain design parameters meeting structural safety requirements are determined in combination with engineering conditions. By means of the method, the problem that the grouting curtain damping effect and grouting curtain parameters are difficult to determine in actual engineering is solved, the blasting vibration peak value of the protection structure under the blasting vibration effect is effectively reduced, and a guarantee is provided for underground and ground structure protection and blasting engineering safety construction.

The invention discloses a flexible clamping jaw capable of automatically adjusting clamping force based on deformation measurement, and belongs to the field of vegetable and fruit picking devices.The flexible clamping jaw comprises a rotating mechanism, three clamping jaw mechanisms are symmetrically installed at the front end of the rotating mechanism through an installation disc, and the rotating mechanism and the clamping jaw mechanisms form a picking mechanism; the rotating mechanism can drive the three clamping jaw mechanisms to rotate through an internal rotating motor, each clamping jaw mechanism comprises a flexible clamping jaw, the tail of each flexible clamping jaw is driven by a connected cam connecting rod mechanism to swing, and the back face of each clamping jaw mechanism is fixedly provided with a monitoring mechanism. The monitoring mechanism monitors the deformation quantity of the flexible clamping jaw through a camera. According to the flexible clamping jaw, the clamping force is accurately controlled through a camera and an algorithm, and fruits are protected against damage; the three-jaw structure is stable, the process is automatic, and the efficiency is improved; ginseng can be flexibly set according to vegetables and fruits, and the adaptability is wide; data after picking is driven and optimized, long-acting operation of equipment is facilitated, and the cost is reduced.

The invention discloses an animal fixator, which comprises a fixator main body, an animal fixing cavity is defined in the fixator main body, and the fixator main body is provided with a positioning slot communicated with the animal fixing cavity; the positioning inserting plate is movably inserted into the positioning inserting groove, the positioning inserting plate is suitable for extending into the animal fixing cavity, the animal fixing cavity comprises a head fixing area and a body fixing area which are located on the two sides of the positioning inserting plate, and the positioning inserting plate is provided with a neck positioning notch; the pushing piece is movably installed in the animal fixing cavity, and the pushing piece is suitable for moving in the direction close to or away from the positioning inserting groove; and the cover plate is movably mounted at the top of the fixator main body. According to the animal fixing device, an animal can be fixed in the animal fixing cavity, the head cannot rotate, the animal does not need to be anesthetized, operation is easy, consumed time is short, the experiment efficiency is improved, fixing is firm, and the risks of biting and the like possibly caused by manual grabbing are avoided.

The embodiment of the disclosure provides a ray inspection system, comprising: a ray source device (1) comprising a first fixed platform (11) and a ray source (10), the first fixed platform (11) being configured to support the ray source (10), the ray source (10) being configured to emit ray beams, the mounting position and / or mounting posture of the ray source (10) relative to the first fixed platform (11) being adjustable; the detection device (2) comprises a second fixing platform (21) and a detection assembly (28), the second fixing platform (21) is configured to support the detection assembly (28), the detection assembly (28) is configured to receive the ray beam, and the installation position and / or the installation posture of the detection assembly (28) relative to the second fixing platform (21) are / is adjustable; wherein the detection assembly (28) and the radiation source (10) are oppositely arranged along a first direction (x), and an inspection channel for an inspected object (6) to pass through is formed between the radiation source device (1) and the detection device (2).

The invention discloses an integrated device and method for comprehensively evaluating and measuring the filtering performance of a filter material in a filter tank. The integrated device comprises a box body structure, wherein a water inlet and outlet system, a filtering system, a backwashing system, a pressure difference measuring pipe system, a PLC control system and the like are arranged in the box body; the device adopts a water pump to feed water, the water inlet pressure adjusting range is wide, and the pressure drop difference of the filter layer can be equal to the thickness in a proper particle size range; when the filtering speed is too high, the permeability coefficient can be analyzed by adopting two or more than two pressure drop differences and an instantaneous filtering speed fitting change curve. The filtering system can set constant filtering speed and turbidity (suspended solids), the turbidity (suspended solids) and head loss are measured after the filtering system runs for a certain time, and the filtering performance of the filtering system is analyzed according to an index system. The water inlet and outlet ports of the filter column are arranged at equal intervals and in equal size, the measuring pipe can be detached and heightened, filter materials do not need to be replaced, gas and water backwashing can be achieved, integrated movement can be achieved, and switching of analysis and measuring modes of filter layers with different heights in the filter column is facilitated.

The invention belongs to the field of solar cells, and particularly relates to a hole transport layer, a perovskite solar cell and a preparation method. The hole transport layer comprises a NiOx layer and a self-assembly molecular layer, wherein the self-assembly molecular layer comprises a self-assembly molecular material and a surfactant. The perovskite solar cell comprising the hole transport layer has the advantages of high efficiency, high stability, low production cost and simple preparation process.

The invention discloses a high-precision part machining path planning method based on artificial intelligence optimization, and the method comprises the following steps: generating a first three-dimensional geometric model of a to-be-machined part, carrying out the curved surface division, and obtaining a manufacturing feature point according to a division result; determining a processing placement surface for the first three-dimensional geometric model according to the manufacturing feature points, and performing processing element positioning and shaping to obtain a second three-dimensional geometric model; processing path preliminary planning is carried out, optimization is carried out based on mixed # imgabs0 # equilibrium by using a neural network, and a second planning processing path is output; performing path optimization based on a Gaussian distribution function and a cubic # imgabs1 # spline curve to obtain a third planning processing path; and simulation verification is carried out, path adjustment and optimization are carried out by adopting a hierarchical optimization ant colony algorithm according to a verification result, and a final planning processing path is output. The precision, the efficiency, the flexibility and the adaptability in the high-precision part machining process are improved.

The invention discloses a quick-change type mechanical arm, and belongs to the field of mechanical arms, the quick-change type mechanical arm comprises a grabbing arm, a quick-change disc, a first motor, a driving wheel, a driven wheel, a transmission belt, a first bearing, a fixing seat, a rotating seat and a pneumatic clamp, one end of the quick-change disc is connected with a robot arm, and the first motor is fixed to the top wall of the grabbing arm; one end of the pneumatic clamp is inserted into the rotating seat and detachably and fixedly connected with the rotating seat, the other end of the pneumatic clamp extends out of the grabbing arm, two first air holes distributed up and down are formed in the side wall of the fixing seat, two air grooves distributed up and down are formed in the outer side wall of the rotating seat, and an annular cavity is formed between the air grooves and the inner wall of the fixing seat. The upper annular cavity and the lower annular cavity are communicated with the upper first air hole and the lower first air hole respectively, and the pneumatic clamp is provided with at least one first air port which is communicated with the air groove through the second air hole. No matter how the clamp rotates, winding of the gas path pipeline or interference to rotation of the clamp cannot be caused.

The invention discloses a motor stator and rotor assembling device which comprises a workbench, a support is installed on the workbench, and a clamping and fixing assembly used for clamping and positioning a motor stator assembly is installed on the support. Two conveying rails arranged side by side are arranged on the table top of the workbench, the two conveying rails support the edge of the end of a gearbox shell of a motor rotor assembly and convey the motor rotor assembly to the position under a motor stator assembly, a motor rotor is located above the two conveying rails, and the output end of the motor rotor is located between the two conveying rails. A first limiting assembly matched with the bottom end face of the output end of the motor rotor for limiting and a second limiting assembly matched with the side face of the output end of the motor rotor for limiting are arranged on the table top of the workbench. The linear movement driving assembly is connected with the clamping and fixing assembly. The rotor shaft is fixed on a single side, the stator and the rotor are assembled simply, efficiently and accurately, and the rotor shaft assembling device can adapt to rotor shafts and shells with different assembling modes and different shapes and sizes.

The embodiment of the invention provides an artificial intelligence chip test system. The artificial intelligence chip test system comprises a to-be-tested chip core board, a multifunctional test mainboard and a test case, the to-be-tested chip core board comprises a to-be-tested artificial intelligence chip; the multifunctional test mainboard is connected with the to-be-tested chip core board through an adaptive connector; and the test case is connected with the multifunctional test mainboard and is used for providing a test signal for the to-be-tested artificial intelligence chip through the multifunctional test mainboard and receiving a test result of the to-be-tested artificial intelligence chip for the test signal through the multifunctional test mainboard. The system can realize the test functions of various types of artificial intelligence chips, improve the test efficiency, and meet the test requirements of the chips in thermal and mechanical environments.

The invention provides a subway air-conditioning system load prediction method and device based on passenger flow dynamic characteristics, and the method comprises the steps: firstly obtaining in-out passenger flow parameters and the average passenger flow in a plurality of past preset time periods in real time, and then taking the average passenger flow in the plurality of past preset time periods as an original time sequence, the method comprises the steps that firstly, a single-parameter grey prediction model is established, the average passenger flow volume in a future preset time period is predicted through a single-parameter grey prediction model and an original time sequence, then load type classification is conducted on loads of the subway air conditioning system, and a simplified physical model containing various load parameters is established through a multiple linear regression method according to the average passenger flow volume in the future preset time period; and finally, initializing the simplified physical model, inputting the incoming and outgoing passenger flow parameters into the initialized simplified physical model, and predicting the load of the subway air conditioning system in a future preset time period. Compared with the prior art, the method has the advantages of being short in learning time, high in universality and high in prediction precision.

The invention discloses a task scheduling method based on an improved bat algorithm in a mobile edge computing environment. The method comprises the following steps: acquiring user task information and edge server information, and acquiring a to-be-unloaded task sequence according to a user track; the user track, the user task information and the edge server information serve as input, an optimal solution of a current population is solved through a bat search algorithm, and each individual in the bat population is mapped to a corresponding task sequence; judging whether the task sequence needs to be subjected to local search or not, and if yes, performing local search by utilizing local sensitive hashing to obtain a global optimal solution after the local search; and according to the searched global optimal solution, dynamically updating the individual positions of the bat population until a set stop criterion is met, and outputting a final task scheduling decision. According to the method, the task scheduling quality is improved while the calculation efficiency is ensured, and the method has relatively high universality and expandability.