109 results about "Fast evaluation" patented technology

The invention relates to the technical field of intelligent manufacturing, and discloses a production scheduling system of a production line and a scheduling method thereof. According to the system and method, key information such as production orders, equipment states and raw material inventory is collected in real time through the data collection unit, basic data is provided for subsequent analysis, the data analysis unit can rapidly evaluate the production capacity and the resource utilization rate, the orders are subjected to priority ranking, and it is ensured that the production efficiency is improved in the dynamically changing market environment. The production plan can preferentially meet the most emergency and important requirements, the scheduling decision-making unit rapidly generates an optimized preliminary schedule by applying an advanced scheduling algorithm, the manual intervention time is shortened, the response speed is improved, the scheduling execution unit ensures that a production instruction is issued and executed in time, the production progress is monitored in real time, and the production efficiency is improved. And the optimization unit continuously improves a scheduling strategy by evaluating and feeding back an execution result, so that the production efficiency is improved, the cost is reduced, and meanwhile, the timeliness of delivery and the customer satisfaction are ensured.

Disclosed in the present disclosure is a fast evaluation method of site seismic liquefaction hazard based on artificial intelligence algorithm: establishing a historical seismic and site information database, the database including a demand input module, a web crawler module, a data processing module, and a database module connected in sequence; a neural network model performs prediction to acquire a post-earthquake site dominant frequency; and, on the basis of the post-earthquake site dominant frequency, acquiring a site earthquake damage degree and seismic performance parameters. The present disclosure solves the problem of fast evaluating post-earthquake site earthquake damage and site seismic performance parameters, and can rapidly evaluate the site liquefaction or softening earthquake damage degree and site seismic performance parameters in given earthquake conditions.

The invention provides a method for rapidly evaluating the residual strength of a damaged composite stiffened wallboard structure, which is applied to the evaluation of the residual strength of a composite stiffened wallboard in an undetectable area in an actual aircraft structure under possible accidental source damage, and comprises the following steps: (1) damage identification based on a piezoelectric sensing system; (2) carrying out damage equivalence on a damage identification result; (3) constructing a residual intensity database; (4) training a neural network model of the residual intensity database; and (5) quickly evaluating the residual strength of the actual damaged wallboard based on the sensing system and the neural network model. After a flight task of a flight product is completed, on the premise that database construction and model training are completed in the earlier stage of the ground, the method can greatly shorten the evaluation period of the residual strength performance of the composite material stiffened wall plate, and therefore the method serves for identifying the re-flight capacity of an aircraft.

The invention discloses a method and a system for rapidly evaluating aerodynamic performance of an automobile body appearance. The method specifically comprises the following steps: generating a geometric curved surface sample of an automobile body surface by adopting a parameterized design method; carrying out fluid numerical analysis on a vehicle body external flow field; an encoder for vehicle body appearance surface geometry is established, and the geometric structure of the vehicle body surface is recognized; establishing a prediction model based on a multi-scale map neural network, and performing geometric data memory, transmission and updating on the flow field of the vehicle body appearance surface; and outputting vehicle body aerodynamic characteristic parameters (a resistance coefficient, a lift coefficient and a lateral force coefficient) and an error level. Compared with the prior art, the neural network algorithm is ingeniously designed, rapid prediction of the aerodynamic characteristic parameters of the automobile body is achieved, the method can be used for rapid performance evaluation in the automobile body development process, the design efficiency is improved, and the development cost is reduced.

The invention provides an AI Agent automatic optimization method. The method comprises the steps of constructing a multi-dimensional performance evaluation system, defining Agent performance indexes, establishing a quantitative evaluation model, carrying out weighted summation calculation to generate a comprehensive performance score, and positioning a performance short board. A multi-dimensional optimization target is generated, a strategy candidate set is generated based on a domain knowledge graph and historical optimization cases, and the optimization target is converted into a reward function of reinforcement learning based on reinforcement learning and human feedback; simulating training by utilizing a strategy candidate set, quickly evaluating the expected income of each strategy through Monte Carlo tree search, and screening out an optimal candidate strategy; and the ambiguity or high-risk strategy receives expert scores or correction suggestions, and converts the scores or correction suggestions into feedback reward optimization strategy sorting. According to the method, optimization efficiency and iteration speed are improved, optimization accuracy and adaptability are enhanced, manual intervention is reduced through the domain knowledge graph and a man-machine cooperation mechanism, high-risk strategies are avoided, and optimization safety and reliability are guaranteed.

The invention relates to the technical field of material detection, in particular to an automobile armrest quality rapid evaluation method and device, and the method comprises the steps: setting a camera to face a to-be-detected surface of an armrest, and determining the position and effective illumination angle of a part in an image; the light source irradiates at an inclined angle of 45 degrees and rotates around the center of the handrail, and the camera shoots an image once after passing through a fixed step length theta; performing gray scale unification processing on the image; shadow change areas in the front and back images are calculated, and the shadow change areas correspond to all the components; all the corresponding shadow change areas in the effective illumination angle are screened out by all the components and then combined to form a shadow area, and the equivalent centroid is calculated; and calculating the perpendicularity and the distance of a connecting line between the center of each part and the equivalent mass center, calculating a final evaluation score, and if the evaluation score is greater than a set threshold value, judging that the quality of the automobile armrest is unqualified. According to the invention, the problems of low detection efficiency and poor detection accuracy in the prior art can be effectively solved.

The invention discloses a crane main beam non-probability reliability assessment method based on a convex set model, and the method comprises the steps: collecting the working condition and key section multi-source data of a crane, and carrying out the time alignment, missing measurement compensation and time-frequency feature extraction; selecting a parameter vector influencing the safety of the main beam, and constructing a combined convex set uncertain domain consisting of an interval box, an ellipsoid set and polyhedron linear constraints; based on a finite element and radial basis function substitution model, main beam key section response mapping is established, the proportion of equivalent stress and deflection relative to an allowable value is obtained, and an overall limit criterion is formed; executing worst case search in the uncertain domain, and calculating an opposite number of a maximum value of a limit criterion as a non-probability reliability index; and reliability indexes are further calculated and summarized at the section layer and the main beam layer, and the reliable state grading of the main beam is realized according to a preset threshold value. The method does not need to depend on probability distribution hypothesis, and rapid assessment of the safety of the crane girder can be realized under small sample and multi-source uncertain conditions.

The invention discloses a deep-water explosion container dynamic response prediction method, and relates to the technical field of deep-water structure safety protection, a deep learning prediction model is established, material characteristic parameters and external load parameters are taken as inputs, container dynamic response indexes are taken as outputs, model training, verification and testing are carried out by using a sample set, and a deep-water explosion container dynamic response prediction model is obtained. And a deep-water explosion container dynamic response prediction model capable of rapidly predicting the dynamic response of the container is obtained. According to the method, a high-quality training data set is constructed through numerical simulation, so that the physical authenticity and prediction precision of a machine learning model are ensured; and the trained model can realize rapid prediction of dynamic response, so that the problem that the precision and the efficiency are difficult to balance in the existing method is effectively solved, and the requirements of rapid evaluation and real-time early warning in engineering are met. The data set contains the explosion load parameters and the deepwater environment parameters, the defect that the application range of a traditional empirical formula is narrow is overcome, and the engineering application cost is reduced.

The invention discloses a pile forming form and inter-pile soil compactness evaluation method based on vibro-replacement gravel pile construction data. The method comprises the steps of finding a pseudo-residual vibration working section according to a real-time construction depth-time curve, determining a key stage according to a real-time construction filling amount-time curve, finally finding a time node of downward insertion / upward pulling of a gravel pile by a vibroflot according to an amplitude change rule of a real-time construction current-time curve, calculating a transverse extrusion and expansion range after reinforcement, and finally determining a reinforcement result. And the pile forming form is estimated, and the average compactness of the soil between the piles of the reinforced field is calculated. According to the method, evaluation of the pile forming form and the compactness of the soil between the piles is achieved through on-site construction data, and the method has the advantages of being high in evaluation speed, high in accuracy and the like and is suitable for reinforcing effect evaluation of the vibro-replacement gravel pile treatment foundation with the down-inserting and up-pulling construction technology.

The invention discloses a method for rapidly evaluating an S parameter of a multi-layer PCB port in a multi-stage waveguide structure, and the method comprises the steps: decomposing a system into a plurality of mutually independent subsystems, representing a propagation channel of electromagnetic energy as a signal pipeline, and representing a reflection position of the energy as a reflection node, thereby building a signal energy flow diagram of the system. On the basis, scattering parameters of the subsystems are obtained through a numerical simulation method, and a corrected BLT equation capable of representing the electromagnetic field-circuit bidirectional coupling relation between the subsystems is deduced in combination with propagation equations of all signal pipelines and scattering equations of all reflection nodes of the system; and the S parameter of the multi-layer PCB port in the multi-stage waveguide structure can be obtained by solving the equation. The method has the advantages of being simple in algorithm, accurate in result, high in efficiency and the like, is suitable for a multi-stage waveguide structure of any geometrical shape, and can achieve rapid evaluation and analysis of the electromagnetic coupling effect in electronic equipment with a waveguide-shaped shielding structure in a complex electromagnetic environment.

The invention relates to the technical field of power system dynamic safety analysis, and discloses a mechanism-data fusion new energy power system minimum inertia demand rapid evaluation method, which comprises the following steps: in an offline stage, establishing an expansion system frequency response model containing new energy; generating a plurality of sample scenes in a given disturbance power range and a new energy permeability range; a model minimum inertia demand and a simulation minimum inertia demand are obtained through expansion of a system frequency response model and stepping type time domain simulation calculation, a polynomial regression method and a polynomial regression equation are utilized, and the coefficient and order of the polynomial regression equation are determined by adopting an optimization algorithm; during online evaluation, real-time disturbance power and new energy permeability of a power grid are obtained; and obtaining a model minimum inertia demand and a corresponding minimum inertia demand deviation compensation value, and outputting a final system minimum inertia demand evaluation result. According to the method, the final evaluation result has the calculation efficiency of the extended SFR model and the evaluation precision of stepping simulation.

The invention discloses a rapid pressure pipeline flow evaluation system and method based on RTK and non-contact liquid level sensor integrated measurement. The system comprises an integrated portable inspection well water surface elevation acquisition device and a matched data processing module. The device integrates RTKGNSS positioning, non-contact liquid level measurement and inclination angle compensation functions, and the relative distance of the water surface of an inspection well and the absolute coordinates of the device can be rapidly obtained; and after receiving the data, the matched data processing module calculates the absolute elevation of the water surface, derives the hydraulic gradient of the pipeline in combination with input pipeline parameters, and evaluates the flow velocity and the flow through a hydraulic formula. The method is based on the system, and rapid evaluation is achieved through the steps of initialization, multi-well collection, elevation calculation, slope derivation and flow evaluation. Pipe bottom elevation is not needed, the system integration degree is high, deployment is fast, precision is high, and the method is suitable for fast investigation and temporary flow monitoring of the urban underground pressure pipe network.

The application discloses a kind of based on GC-IMS pure milk flavor sensory digitalization fast evaluation method, belong to food analysis and evaluation technical field.The pure milk sample to be measured is detected by headspace sampling using GC-IMS, and a fingerprint spectrum is obtained.The fingerprint spectrum data or characteristic volatile component data is input into the OPLS-DA model, and the preference degree of pure milk is evaluated according to the clustering result.The construction method of OPLS-DA model is as follows: different pure milk samples are selected, and CATA sensory evaluation method is used for sensory evaluation of pure milk samples.Different pure milk samples are detected by headspace sampling using GC-IMS, and a fingerprint spectrum is obtained.Partial least squares-discriminant analysis method is used for regression modeling using fingerprint spectrum data or characteristic volatile component data to obtain OPLS-DA model.The application uses GC-IMS to digitally and quickly evaluate the flavor of pure milk, which has high sensitivity, does not require sample enrichment and concentration, saves detection time, and avoids tedious pretreatment process.

The application discloses a kind of based on impedance model's wind farm grid-connected stability fast evaluation method and system, it is related to power grid system technical field, S1, the physical model of wind farm grid-connected system is established;S2, the impedance model of wind farm and power grid is established;S3, suitable evaluation index is selected;S4, impedance matching analysis is carried out;S5, dynamic response characteristic is evaluated;S6, steady-state analysis is carried out;S7, the influence of grid connection on power grid is evaluated;S8, control strategy is designed, and the system is built based on the above method.The based on impedance model's wind farm grid-connected stability fast evaluation method and system, by constructing accurate wind farm and power grid impedance model, and combining multiple evaluation indexes and control strategies, comprehensive, fast evaluation of wind farm grid-connected stability is realized, potential stability problems can also be effectively identified and solved, and powerful support is provided for the safe, efficient grid connection of wind farm.

The application relates to the technical field of trajectory planning, and proposes a fast evaluation search method, a system and a terminal device of an optimal trajectory. The fast evaluation search method comprises the following steps: sampling a plurality of state points in a pre-planning space, performing pre-collision detection on the state points to remove points in conflict with obstacles, and obtaining effective sampling points; performing cost evaluation on the effective sampling points, wherein the cost evaluation comprises heuristic cost based on historical planning trajectory information and static cost based on motion characteristics; based on the result of the cost evaluation, iteratively searching from an initial state point: calculating the trajectory cost of a neighborhood state point and updating a search path in a gradient direction until an optimal feasible trajectory is output. The application improves the search efficiency of the trajectory by pre-collision detection to screen out invalid sampling points and a gradient iterative search mechanism.

The present application belongs to the technical field of flexible robots, and relates to a structure optimization method of a fin ray effect gripper, comprising the following steps: step 1: a co-rotation modeling method is used to construct a force-deformation relationship model of the fin ray effect gripper as a fast evaluation model of the performance of the gripper; step 2: structure optimization design parameters and multi-objective performance evaluation indexes of the fin ray effect gripper are determined; step 3: based on a Bayesian optimization algorithm, the fast evaluation model is combined to construct a multi-objective structure optimization framework, global optimal sample search is performed on the design parameters, and a Pareto front is solved; and step 4: experimental verification is performed on typical optimal parameter combinations in the Pareto front, and optimal structure parameters of the gripper suitable for different gripping scenes are output. The present application can be applied to the design and optimization of flexible, rigid and rigid-flexible hybrid robot compliant mechanisms, and can be widely applied to the high-performance design and parameter tuning of gripper structures in industrial gripping, service robots, precision operation and the like.

The application belongs to the technical field of multidisciplinary design, and discloses a data-driven AUV multidisciplinary design optimization method considering time consumption difference of simulation units. The method comprises the following steps: generating initial samples for an optimization object and dividing the initial samples into design samples of each discipline sequence; analyzing high-fidelity evaluation average time consumption of the design samples of each discipline sequence, calculating expansion multiples of the design samples of other non-most time-consuming discipline sequences based on the design samples of the most time-consuming discipline sequence as a benchmark to construct design samples according to a total time consumption consistency principle, performing high-fidelity evaluation on the constructed design samples to construct a discipline sequence library; establishing a proxy model of each discipline sequence based on the discipline sequence library; and dividing a multidisciplinary system of the optimization object into each discipline sequence and performing rapid evaluation based on the corresponding proxy model. The method of the application significantly improves optimization efficiency by solving the problem of evaluation time heterogeneity in the process of multidisciplinary design optimization.

The invention discloses a method for evaluating thermal decomposition behavior characteristics and risk degrees of same-type derivatives, which comprises the following steps of: firstly, carrying out a DSC (differential scanning calorimetry) test on the same-type derivatives of a certain substance to obtain initial thermodynamic data; analyzing an exothermic peak curve of the DSC, obtaining an after-treatment curve of exothermic quantity, conversion rate-temperature and reaction rate-temperature, and calculating thermal decomposition characteristic parameters including activation energy, pre-exponential factors, a decomposition mechanism function model, comprehensive thermal decomposition characteristic parameters and self-accelerated decomposition temperature; further quantitatively characterizing microstructure characteristics of group types, group positions and group volumes by using electronegativity, Hammett constants and group topological volumes, constructing a relation model between pyrolysis characteristic parameters and microscopic parameters by using a correlation coefficient, regression analysis and a judgment matrix, and determining the molecular structure of the same type of derivative according to a given molecular structure of the same type of derivative. Calculating corresponding pyrolysis characteristic parameters; and according to the property and process of the chemical reaction, establishing a pyrolysis risk degree calculation model of the same type of derivatives, and quantitatively evaluating the risk degree.

The application discloses a kind of small reservoir dam safety monitoring facility operating state fast evaluation method. Including: obtaining the initial measuring point state of target dam safety monitoring facility and field detection state, determine the measuring point ontology state;Obtain the monitoring time series in the set statistical period and execute singular value identification, obtain the identification result;Based on monitoring time series and identification result, calculate data anomaly proportion, current data stop detection duration and effective data missing duration;As a reference, determine the measuring point working state based on the preset threshold value determination rule;Combined with measuring point ontology state and working state, determine and output the evaluation result of the operating state of facility.The application can reduce the evaluation error caused by non-stationary environmental interference and data pollution, realize efficient, accurate quantification classification of the real reliability level of monitoring facility.

The invention provides a GEO electric propulsion satellite orbital transfer process solar cell radiation effect rapid evaluation method, which comprises the following steps that: firstly, a solar cell radiation damage space distribution database is constructed through space radiation effect analysis software, and the database comprises daily average equivalent 1MeV electron flux distribution data under different orbit heights, inclination angles and cover glass thicknesses; generating satellite space track data according to an electric propulsion orbital transfer strategy; counting accumulated operation time of the satellite in each height and dip angle interval according to a preset interval; and finally, multiplying and accumulating the daily average equivalent 1MeV electron flux corresponding to each interval by the accumulated running time to quickly obtain the accumulated equivalent 1MeV electron flux in the whole orbital transfer process. Therefore, the problem of long calculation time consumption of a traditional method is solved, and rapid evaluation support can be provided for radiation mitigation optimization design of the orbital transfer strategy.

The invention discloses a manned lunar vehicle elastic wheel traction performance rapid evaluation method and device, and the method comprises the steps: building a virtual lunar soil model based on a discrete element method, and obtaining the ground mechanics parameters of the interaction of lunar soil and wheels through a virtual pressing plate test and a virtual shear test; on the basis of the terramechanics parameters and the wheel parameters, the wheel soil acting force is calculated through an improved semi-empirical model, so that the traction performance of the wheels is evaluated; solving a wheel soil contact parameter by adopting an iteration mode, and evaluating the traction performance of the wheel according to the calculated wheel soil acting force; wherein the improved semi-empirical model divides the contact area of the wheel and the lunar soil into an elastic contact area with elastic deformation and a rigid contact area without deformation, the wheel soil acting force in the two areas is calculated respectively, and the wheel structure parameters and the lunar soil parameters are analyzed in a simulation mode according to the wheel structure parameters and the lunar soil parameters. And the traction performance such as hook traction force, rolling resistance and rolling efficiency of the elastic wheel can be quickly calculated.

This invention discloses a rapid evaluation method for the enhancement factor of the dynamic coefficient by the high-frequency component of a strong impact load, belonging to the field of structural dynamic response analysis technology. This method performs time-frequency domain energy accumulation analysis on the strong impact load signal, extracts the concentrated frequency of load energy and its proportion in the total energy, and then, based on this, combines the dynamic amplification factor under the triangular time history assumption to quantitatively calculate the enhancement factor of the dynamic coefficient by the high-frequency component of the strong impact load. This method is further extended to arbitrary frequency components and the entire frequency band to obtain the comprehensive enhancement result of the dynamic amplification factor by the high-frequency effect of the strong impact load. Compared with traditional dynamic analysis methods based solely on idealized time history assumptions, this invention can introduce the real time-frequency characteristics of strong impact loads while maintaining computational efficiency, effectively compensating for the insufficient consideration of high-frequency excitation effects. It is applicable to rapid dynamic response evaluation in engineering fields such as aerospace structures, high-frequency components, and precision equipment.

The invention discloses a workshop-oriented traffic vibration load influence rapid evaluation method, which comprises the following steps of: arranging an instantaneous synchronous measurement array comprising a plurality of measurement points on one side, adjacent to a traffic road, of a workshop area along the direction vertical to the road; performing 1 / 3 octave analysis on the vibration data of each measuring point to obtain a vibration speed effective value of each measuring point under each 1 / 3 octave center frequency; for each 1 / 3 octave center frequency, performing power function fitting on the vibration velocity effective value of each measuring point under the frequency and the distance from the measuring point to the road, and establishing a frequency-space attenuation model; and determining a vibration velocity frequency spectrum of the target position caused by traffic vibration by using a frequency-space attenuation model, and calculating a traffic vibration dominance index TVDI of the target process equipment in combination with vibration sensitive characteristics of the target process equipment so as to quantitatively evaluate the influence degree of the traffic vibration on the target process equipment. According to the invention, traffic vibration influence evaluation is realized through one-time short-time synchronous measurement.

The present disclosure relates a method for evaluating packets of subscribed data streams comprising receiving incoming data packets belonging to a plurality of data streams; buffering the incoming data packets in a raw packet buffer; extracting the first words of the incoming data packets and forwarding the extracted first words to a packet header buffer; evaluating the first words in the packet header buffer, wherein the evaluation comprises extracting information identifying a data stream, performing a binary search on the extracted information to determine whether the incoming data packet from which the information was extracted belongs to one of the subscribed data streams, storing the result in a packet evaluation result buffer; determining based on the result whether a data belongs a subscribed stream; reading, in case the data packet in the raw packet buffer belongs to one of the subscribed streams, the data packet from the raw packet buffer.

The invention belongs to the technical field of safety evaluation of service materials, and particularly relates to a microscopic rapid evaluation method for a long-time thermal service state of a nuclear power pressure vessel material, which comprises the following steps of: 1, selecting a pressure vessel micro-area material in a certain service state; 2, a specific corrosive liquid is selected for corrosion for a certain time, and a state monitoring sample piece is obtained; step 3, the microscopic morphology of the state monitoring sample piece is shot through a microscope; 4, counting the percentage composition of the corrosion area; and 5, evaluating the thermal service state of the material according to the linear relationship between the percentage composition of the corrosion area and the thermal aging time. According to the microscopic rapid evaluation method for the long-time thermal service state of the nuclear power pressure vessel material, thermal aging degradation damage of the pressure vessel material is presented through an over-corrosion method, rapid evaluation of the thermal aging state can be achieved only by obtaining a local monitoring material, and the microscopic rapid evaluation method still has a good prediction effect on long-time thermal service equipment.

The application discloses a kind of large-scale constellation-oriented autonomous calibration task cooperation planning method and device.The method includes S1, obtains calibration resource information, satellite information and constellation resource information;The calibration resource information includes star calibration field, cold air calibration field, moon reference source, ground comprehensive field, ground uniform field and cross calibration field;The satellite information includes satellite state information and satellite task type information;The satellite state information includes the on-orbit state information of N satellites, N is positive integer;The on-orbit state information includes fast evaluation phase information, on-orbit test phase information or operation guarantee phase information;S2, based on the calibration resource information, the satellite information and the constellation resource information, determine task allocation information;S3, based on the task allocation information, determine the execution task sequence.It can be seen that the present application is beneficial to improve the on-orbit calibration efficiency under the current cluster giant optical constellation networking condition.

The invention discloses a method for acquiring additional loads at different depths of a foundation pit support in the technical field of foundation pit support, and aims to solve the technical problems that an adjacent tower pile foundation is not considered, and a reference value cannot be quickly acquired at the same time. According to the method for obtaining the additional loads at different depths of the foundation pit support, the effective action range of a pile foundation is dynamically judged and accurately defined through the critical influence distance, invalid calculation is reduced, the analysis efficiency is improved, and the rapid evaluation requirement of complex engineering is met; additional stress distribution is deeply quantized through a multi-section fitting function model, and compared with a traditional empirical method, the precision is greatly improved; and engineering pile foundation arrangement is directly matched through a parameterized function library, a full-depth load value is output, the design period is shortened, and a supporting structure is optimized through favorable loads.

The invention provides a rapid measurement method and application for a residual stress field and a hardness field of an anti-fatigue surface metamorphic layer, and relates to the technical field of metal part performance strengthening characterization, and the method comprises the following steps: S1, constructing a first model which is a segmented cosine function model of residual stress constructed according to the relationship between the residual stress and the layer depth after mixed jet strengthening; s2, a second model is constructed, and the second model is a cosine function model of hardness constructed according to the relation between the hardness and the layer depth after mixed jet strengthening; s3, performing function fitting on the first model and the second model to obtain a third model and a fourth model, wherein the third model and the fourth model are distribution function models of a residual stress field and a hardness field; s4, obtaining key characterization parameters according to the third model and the fourth model; and S5, correcting and optimizing the third model and the fourth model. The method has the advantages of being high in measurement speed, small in data acquisition amount, high in precision and the like, and is suitable for rapidly evaluating the surface integrity of the key part after mixed jet strengthening.

The embodiment of the invention provides a method and device for evaluating an intelligent agent, equipment and a medium, and the method comprises the steps: obtaining to-be-evaluated data which at least comprises data for at least one bad case; based on the number of the at least one bad case, obtaining at least one first agent corresponding to the at least one bad case; and correspondingly processing the at least one bad case by using the at least one first agent so as to generate at least one bad case analysis result corresponding to the at least one bad case. According to the method, the multi-agent collaboration architecture for evaluating the performance of the agents is established. For each bad case of the to-be-evaluated agent, the corresponding agent can be adaptively acquired to carry out bad case-by-bad case analysis. According to the mode, the effects of high evaluation speed and comprehensive evaluation results can be achieved, and the context explosion phenomenon can be prevented.

The invention discloses a rapid evaluation method and system for emissivity of a sheet material, and belongs to the technical field of thermophysical property measurement of materials, the basic principle of the rapid evaluation method is that the sheet material is heated to a certain temperature by using a flat electric heater, and the upper limit temperature and the lower limit temperature of the sheet material are measured by using a thermocouple; a thermal infrared imager is used for shooting a thermal image of the sheet material, the average temperature of the thermal image is aligned with the upper limit temperature and the lower limit temperature of the sheet material by adjusting the emissivity of the material in thermal infrared imager software, and therefore the emissivity range of the sheet material under the temperature condition is obtained. The method has the following advantages: (1) complex and expensive instruments and equipment are not needed, the operation is simple, and the practicability is high; (2) the infrared emissivity range of the sheet material under vacuum or different atmosphere conditions can be rapidly evaluated; and (3) the emissivity range of the sheet material in a wide temperature range can be effectively evaluated.