95 results about "DEVICE EVALUATION" patented technology

Systems and methods for monitoring structural integrity are provided. Acoustic sensors are disposed in relation to an area of interest of a structural member to detect an acoustic emission and output an acoustic emission signal. The signal is collected, and a computing device evaluates acoustic emission signal characteristics and predicts whether a crack is present. The acoustic emission signal characteristics are used to detect and predict aspects associated with formation and growth of cracks at various locations of the structural member.

The invention provides an intelligent warehouse logistics robot health degree assessment method and system, and relates to the technical field of equipment assessment, and the method comprises the steps: obtaining historical operation data of a logistics robot in different operation scenes, and carrying out the preprocessing and dividing; clustering is carried out through a DBSCAN algorithm, historical samples are screened, real-time operation data are obtained, the deviation degree between the real-time operation data and the historical samples is calculated, and the aging degree is obtained; calculating an external fault factor of the logistics robot according to the real-time environment data, and calculating an abnormal degree based on the external fault factor and the real-time performance data; according to the logistics robot health degree evaluation method and system, the association weight matrix of the logistics robots is constructed based on the cooperation relation between the logistics robots, the health degree of the logistics robots is comprehensively evaluated based on the association weight matrix, the aging degree and the abnormal degree, and the technical problems that in the prior art, the health degree is evaluated through a single operation parameter, and the evaluation result accuracy is low can be solved.

The invention relates to a method for carrying out a container inspection task in a container handling system for handling a plurality of container parts for containers, preferably plastic containers and / or bottles, wherein a transport device transports the plurality of container parts as a container part stream from at least one treatment device of the container treatment system to at least another treatment device of the container treatment system along a predetermined transport path, at least one sensor device for carrying out the container inspection task captures, preferably optically, in particular spatially resolved sensor data, preferably camera images, relating to the container parts to be inspected, and a real-time evaluation device evaluates the in particular spatially resolved sensor data, preferably camera images. According to the invention, a set of container component features is predetermined for the real-time evaluation device, said set being a set of container component features extracted automatically, in particular from a neural network, within a framework of a machine learning method performed with respect to a training container inspection task different from the container component inspection task, and the real-time evaluation device performs the container inspection task based on the set of predetermined container component characteristics.

A computer-implemented method includes: receiving, by a computing device, an input prompt; routing, by the computing device, the input prompt to one or more restructuring routes; restructuring, by the computing device, the input prompt to provide a restructured input prompt to reduce tokens; evaluating, by the computing device, the input prompt to the restructured input prompt to determine that thresholds are met; and sending, by the computing device, the restructured input prompt that meets the thresholds to a large language model.

The present application relates to a kind of OPGW cable health condition evaluation method, comprising: S1: collection OPGW cable equipment evaluation index data;S2: according to the first weight of index data numerical distribution calculation;S3: according to the correlation between each index data calculation second weight;S4: according to the first weight and second weight, obtain fusion weight;S5: determine OPGW cable health state index value, assess cable health state.The present application according to the first weight of index data numerical distribution calculation;According to the correlation between each index data calculation second weight;According to the first weight and second weight, obtain fusion weight;Determine OPGW cable health state index value, assess cable health state.The algorithm of the present application can accurately evaluate the health state of OPGW cable, and provide reasonable and effective theoretical support for the equipment state management and routine operation of OPGW cable.

The invention relates to the technical field of disconnecting link maintenance and transformation, in particular to an isolation disconnecting link updating and transformation method. The method comprises the following steps: S1, performing inspection and quantitative analysis, performing equipment evaluation and problem diagnosis, and identifying operation problems and function deficiency; s2, performing model selection and material optimization, and setting a standard isolation switch and an electric operation assembly; s3, defining a transformation range, dividing transformation units based on the main wiring diagram, and covering the isolation disconnecting link and the grounding disconnecting link; s4, implementing a safety locking structure, adding an electrified locking and five-prevention system, and accessing whole plant management to prevent misoperation; and S5, accessing a monitoring system, and connecting an LCU screen and a computer monitoring system to realize remote centralized control. The contact resistance and temperature rise of the contact reach the standard, ablation is completely eradicated, the operating force and time are greatly reduced, jamming is returned to zero, the five-prevention locking success rate is extremely high, the misoperation drill can reach the zero penetration level, and the on-site actual effects of mechanical zero jamming, five-prevention zero penetration, remote control zero delay and old and waste utilization are achieved.

The application relates to the technical field of electrical equipment evaluation, in particular to a multi-dimensional electrical equipment stability evaluation method and device for new energy power grid connection, which comprises the following steps: based on a multi-dimensional evaluation index system, collecting multi-dimensional index data of a target electrical equipment, performing feature enhancement processing, and generating processed enhanced features; based on a grid connection power fluctuation coefficient and an equipment operation stage coefficient of the target electrical equipment, adjusting the weight proportion of each dimension and corresponding indexes in the multi-dimensional index data to obtain dynamic weights; inputting the processed enhanced features and the dynamic weights into an evaluation model combining fuzzy comprehensive evaluation and Markov chain prediction, performing stability evaluation on the target electrical equipment for new energy power grid connection, and outputting a stability evaluation result of the target electrical equipment. Therefore, the problems that in the related art, prospective decision support cannot be provided for preventive maintenance and grid connection scheduling, and it is difficult to guarantee the safe and stable operation of the power grid under high-proportion new energy access are solved.

The invention discloses a centralized storage and unified management method, system, equipment and medium for a remote video monitoring system of a power generation enterprise, and belongs to the technical field of video monitoring. Identifying a monitoring blind area; replacing equipment according to an evaluation and classification result, and adding a high-definition network camera in a monitoring blind area; constructing a three-layer network architecture comprising an access layer, a convergence layer and a core layer, wherein the core layer adopts redundant connection; optimizing a hard disk video recorder deployment scheme based on the network topological relation; establishing a double-layer storage architecture, and adjusting a data uploading strategy according to a network state and a video recording type; unified access of devices of different manufacturers is realized through protocol conversion; and generating a monitoring interface according to the user role. Scientific classified updating of equipment is realized through a multi-dimensional equipment evaluation model, a transmission path is shortened through network hop count minimization and optimization deployment, bandwidth peak shifting utilization is realized through double-layer storage and intelligent scheduling, and unified and efficient management is realized.

A substation equipment status assessment and early warning system and method based on a digital twin platform includes the following steps: parsing the digital twin model to obtain basic equipment information and creating an equipment information mapping table; matching equipment types to select assessment algorithms and rules, and generating an equipment status assessment model; parsing inspection system data to match equipment information points; forming an equipment inspection information point table; instantiating equipment assessment objects and matching information points, algorithm parameters, and rules; initiating status assessment using a sliding window and event triggering mechanism to generate an assessment result file; analyzing historical data to predict equipment status and issuing alarms when anomalies occur. This method establishes an assessment model for complex primary and secondary equipment in substations, abstracts and concretizes multi-source data such as primary equipment, secondary equipment, monitoring, inspection, and operation and maintenance systems, and adopts flexible combinations of algorithms and evaluation rules to shield the differences between equipment and the diversity of algorithms, thereby improving the accuracy of the assessment and early warning function and the standardization of assessment results.

The invention discloses a multi-source data fusion and traffic mechanism driven checkpoint equipment closed-loop evaluation method, relates to the technical field of checkpoint equipment evaluation, and solves the technical problem of poor evaluation effect of existing checkpoint equipment. The method comprises the following steps: constructing an upstream equipment mapping table of the bayonet equipment based on road network information and position information of the bayonet equipment; verifying the historical traffic mode of the gate based on the historical traffic data, calculating the real-time accuracy of the gate device based on the floating car trajectory data, and finally comparing the traffic conditions of the to-be-evaluated gate device and the upstream gate device through the upstream device mapping table to judge whether the traffic is conserved or not; determining a mistakenly shot license plate number according to a license plate verification rule; the real license plate number of the mistakenly shot license plate number, the association algorithm and the hardware information are determined by using similar vehicles in the upstream and downstream vehicles, factors which can influence the equipment effect are analyzed, and improvement measures are adopted in a targeted manner; according to the method, environment interference, algorithm output characteristics and hardware state parameters are associated to form a closed-loop feedback mechanism.

This invention discloses a detachable electric field probe and calibration method for measuring the specific absorptivity of a vehicle-mounted human body model. The probe includes a metal dipole, a polytetrafluoroethylene (PTFE) ring, a waterproof metal casing, a ferrite magnetic ring, an SMA connector, and a detachable rubber sleeve. To prevent tissue fluid leakage, all components except the radiating element of the metal dipole are housed within the waterproof metal casing. The inner and outer conductors of the SMA connector connect to the upper and lower metal radiating elements, respectively. The ferrite magnetic ring is fitted onto the SMA connector, significantly improving the radiation pattern distortion problem of the electric field probe at low frequencies. The SMA connector connects to an RF receiver and a spectrum analyzer to acquire spectral information and the received power of the electric field probe, which, after calibration, reflects the magnitude of the field strength. This invention enables specific absorptivity measurement over a wide frequency range, featuring small size, low cost, and ease of use. It is suitable for specific absorptivity measurement in vehicle-mounted electromagnetic compatibility testing, medical device evaluation, and related scientific research fields.

Aspects relate to a method, a data processing system, a laboratory instrument, a computer program, and a computer readable medium. The method includes obtaining, by a computing device, a relationship result of a first clinical test. A first clinical test is performed on a biological sample by a first laboratory instrument, the biological sample being in a sample container. The relationship result includes first information and second information, the first information specifying that a laboratory result of the first clinical test is outside a reliability range of the first clinical test performed by the first laboratory instrument, and the second information specifying one or more of an upper bound and a lower bound of the reliability range. The method further includes evaluating, by the computing device, whether a condition of the laboratory rule is determinable by using the first information and the second information. The laboratory rule specifies one or more actions to be taken depending on the result of the determination of the condition. At least one of the one or more actions is to be taken on one or more of the biological sample, the sample container, and the relationship result, and / or the one or more actions include displaying information about one or more of the biological sample, the sample container, the relationship result, and the patient. If the condition may be determined and one or more actions are to be taken according to a result of the determination of the condition, the method includes causing, by the computing device, the one or more actions to be taken.

The invention discloses an electronic product reliability evaluation method fusing a failure mechanism and data analysis, and relates to the technical field of electronic device evaluation, the method comprises the following steps: obtaining a preset sensitive parameter data set of a to-be-evaluated device, and processing the preset sensitive parameter data set according to a preset degradation model to obtain a degradation data set; performing micromechanism and device structure simulation based on the degradation data set to obtain a life simulation error; fitting the degradation data set according to a preset life distribution model to obtain a reliable confidence coefficient; and obtaining an evaluation result based on the reliability confidence and the life simulation error. The invention is used for providing a degradation mode recognition system combined with a microscopic failure mechanism to improve the reliability index.

The application relates to a device evaluation method and device, an apparatus, a readable storage medium and a program product. The method comprises the following steps: obtaining running state data corresponding to each of a plurality of configuration states of a target device; wherein the running state data comprises at least a compatibility data set and a security data set; for each configuration state, performing median aggregation and multi-dimensional weighting based on the compatibility data set in the running state data corresponding to the configuration state to obtain a compatibility score corresponding to the configuration state, and performing maximum aggregation and security failure evaluation based on the security data set in the running state data corresponding to the configuration state to obtain a security score corresponding to the configuration state; and weighting the compatibility scores and the security scores corresponding to the plurality of configuration states to obtain a device evaluation result. The method can improve the comprehensiveness of device evaluation.

To provide an evaluation device, an evaluation program, and an evaluation method for predicting a future body shape or the like.SOLUTION: In a support system in which a server device 20 is connected to a user terminal 10 and an imaging device 30 via a communication network 40, the server device, which is a support device that supports a user's fitness, includes a future posture generation unit that is a posture image generation unit that generates a future posture image of the user performing a predetermined movement based on a user image of the user and information about the user's physical constitution at a future time point predicted based on fitness activity schedule information.SELECTED DRAWING: Figure 1

The application belongs to the technical field of equipment evaluation, and discloses a kind of calculation method and system of sliding bearing dynamic characteristic coefficient, comprising: taking half of real oil film model as research object at axial symmetry plane, and setting the side surface of film and oil inlet located at axial symmetry as symmetry plane, which can significantly save computing resources and speed up the calculation speed;And the film and the oil inlet are separately divided into grids, and the outer wall surface of the film and the bottom surface of the oil inlet are set as grid interfaces, which can realize automatic grid division while ensuring grid quality;The application applies displacement, speed small disturbance to the journal in the equilibrium position by UDF in Fluent software, realizes the calculation of sliding bearing dynamic characteristic coefficient, and effectively improves the calculation accuracy.

The invention discloses a method and a system for evaluating the electrical life of a circuit breaker, and a medium. Relates to the technical field of device evaluation. The method is improved on the basis of the prior art, contact resistance errors in original data are removed according to the difference between a measuring device and a circuit breaker contact during dynamic contact resistance measurement to obtain evaluation data, and parameters are extracted from the evaluation data to evaluate the electrical life of the circuit breaker. On the basis of multiple groups of dynamic contact resistance curves, dynamic contact resistance data corresponding to the multiple groups of dynamic contact resistance curves are decomposed and filtered, and the difference between a measuring line and a circuit breaker contact point is quantitatively extracted in combination with actual working conditions, so that the accuracy of a dynamic contact resistance measuring result can be improved; therefore, the accuracy of circuit breaker electrical life evaluation is improved.

This invention discloses a server deployment method, apparatus, electronic device, storage medium, and program product. Specific implementation includes: determining a deployment task and a server to be deployed as indicated by the deployment task; determining a startup mode corresponding to the server to be deployed based on the deployment task; determining a basic configuration file corresponding to the server to be deployed based on the startup mode; determining a file to be deployed based on the startup mode and the basic configuration file; and downloading the file to be deployed to the server to be deployed. By determining the deployment task through a device evaluation platform, automatic deployment of the server to be deployed is achieved. Determining the basic configuration file ensures consistency during deployment by the device evaluation platform. Downloading the file to be deployed to the server simplifies the deployment process, reduces manual operations, and provides a stable and reliable operating environment for upper-layer services.

The invention relates to the technical field of aerospace COTS device evaluation systems, and discloses a satellite task-oriented aerospace COTS device total factor reliability quantitative evaluation system. The evaluation system mainly comprises a product maturity evaluation module, a manufacturer quality control evaluation module, a third-party evaluation result evaluation module, a product identification / identification evaluation module, a structure analysis evaluation module, a device anti-radiation capability evaluation module and a poor quality record evaluation module. The aerospace applicability and reliability of the COTS device are quantitatively evaluated through the seven modules. Through seven-module total factor evaluation, the limitation of traditional single test data is broken through, multi-dimensional information such as production quality, in-orbit recording and radiation resistance is integrated, the full life cycle performance of the device is comprehensively covered, the accuracy and comprehensiveness of an evaluation result are greatly improved, and more scientific guarantee is provided for the reliability of a satellite task.

This evaluation device is for evaluating a system that outputs an answer to a question, and comprises: an answer acquisition unit that acquires the answer to the question from the system; and an evaluation unit that inputs a correct answer condition and the answer to a language model, and thereby acquires, from the language model, a determination result indicating whether the answer satisfies the correct answer condition.

This application provides a data processing method and apparatus for distribution ring main units (RNBs), applied in the field of power system data processing technology. By collecting operational data from the RNBs and identifying their operating modes, it enables the selection of a suitable data processing model based on the operating mode. The selected model is then applied to process the data, outputting equipment health status assessment results and anomaly detection results. The model's parameters are adjusted based on the assessment results, determining whether the data processing model's performance meets actual conditions or preset standards. Therefore, this application solves the technical problem of decreased accuracy in complex dynamic environments using existing methods. It offers the advantages of improving data processing accuracy, reducing data processing error rates, and dynamically adjusting parameters to adapt to different operating modes of the RNBs, thereby improving assessment reliability.

According to an embodiment of the present disclosure, disclosed is a method for evaluating qualities of electrocardiogram data and diagnosing a disease only with a signal having an excellent quality. Specifically, according to the present disclosure, a computing device evaluates qualities of electrocardiogram data obtained from a plurality of leads, excludes electrocardiogram data obtained from at least one lead among the plurality of leads based on the evaluation of the qualities of the electrocardiogram data, and performs electrocardiogram analysis based on remaining electrocardiogram data by using a pre-learned electrocardiogram analysis model.

According to a preferred embodiment of the present invention, an apparatus for inspecting battery test equipment for leakage comprises: a main tube that is detachably connected to an object under inspection and communicates with the inside of the object under inspection, wherein the object under inspection includes a battery heating module or has a flow meter connected to the battery heating module; a gas supply unit that is connected to the main tube and supplies a gas for leak detection into the object under inspection via the main tube; and a pressure measurement unit that is connected to the main tube and measures changes in the gas pressure in the main tube and the object under inspection. According to the apparatus for inspecting battery test equipment for leakage according to the present invention, whether the battery test equipment has a gas leak is inspected prior to evaluating the thermal stability of a battery by using the battery test equipment, and if a leak is found, the entirety or a portion of the equipment is replaced or repaired to ensure the reliability of a test.

The invention relates to the technical field of big data edge computing, and particularly provides a collaborative authentication method and system for password retrieval based on historical assistance behaviors, comprising: receiving a request, a server receiving a password retrieval request initiated by a user terminal, the request comprising a target user account and initiation terminal information; the equipment cooperation credibility is evaluated, and the server calculates and determines the cooperation credibility score of each equipment in the historical cooperation equipment set at least based on historical cooperation behavior information between the equipment and the target user; screening candidate assistance equipment, evaluating the collaborative authentication capability, and evaluating whether the collaborative authentication capability of a candidate assistance equipment set meets a preset password retrieval authentication requirement or not by the server based on a preset rule; and executing collaborative authentication and password reset decision. According to the invention, the authentication data cannot be restored, and the security of the non-revocation data after the data transmission is leaked is ensured.

1. The name of the design product: human eye movement simulation device. 2. The use of the design product: the product is used to simulate the movement of the human eye, and is suitable for medical education, eye movement tracking test, optical product quality inspection, AR\VR device evaluation field. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: design 1 perspective view. 5. Design 1 is designated as the basic design.

The invention discloses an evaluation method and system for a comprehensive monitoring device of a transformer. The method comprises the steps of constructing a power grid simulation model of a power grid where a target transformer is located; determining each operation time of the power grid simulation model under different operation conditions according to different load requirements; screening to obtain each target time period; extracting each operation data of each target time period; obtaining an operation result of the target transformer corresponding to each operation condition based on each operation data; in the evaluation process, monitoring results corresponding to the different operation conditions are obtained; and generating an evaluation report of the to-be-evaluated comprehensive monitoring device based on a comparison result obtained by comparing the operation result of the target transformer determined by each operation condition with the corresponding monitoring result. According to the evaluation method for the comprehensive monitoring device of the transformer, the comprehensiveness and accuracy of evaluation of the comprehensive monitoring device are remarkably improved.

The application provides a secondary equipment reliability evaluation method, and belongs to the technical field of secondary equipment evaluation. The method comprises the following steps: constructing a secondary equipment reliability evaluation integrated model, the integrated model comprising multiple parallel individual discriminators, the individual discriminators being trained by using operation data of normal secondary equipment, and the optimization target of the individual discriminators being to minimize reconstruction error of input and output data; optimizing the secondary equipment reliability evaluation integrated model, eliminating the individual discriminators with low accuracy, and obtaining an optimal integrated model; and inputting current operation data of the secondary equipment into the optimal integrated model for reliability evaluation. The application generates multiple parallel basic models by using a Bagging integrated learning method, comprehensively determines the results of the multiple individual discriminators to determine the secondary equipment fault, and can improve the stability of the model as a whole. Moreover, the application optimizes the integrated model by using an integrated model optimization method, and can improve the accuracy of the secondary equipment reliability evaluation.

The invention provides a network optimization method and device, equipment, a medium and a product, relates to the technical field of network optimization, and aims to solve the problem of how to improve the network quality in a region. The network optimization method comprises the following steps: acquiring account information corresponding to each family broadband account in a plurality of family broadband accounts in a to-be-optimized area, wherein the account information is used for representing position information corresponding to the family broadband account, flow use information and an equipment model of access gateway equipment; determining the supporting condition of the family broadband account for the IPv6 based on the flow use information; determining an abnormal equipment model and / or an abnormal region in the to-be-optimized region based on the support condition of the family broadband account in the to-be-optimized region for the IPv6; generating an equipment evaluation report based on the abnormal equipment model, wherein the equipment evaluation report is used for prompting a developer of the abnormal equipment model to upgrade the IPv6 function of the equipment; and / or adjusting the configuration of a broadband remote access server (BRAS) in the abnormal area or replacing forwarding equipment in the abnormal area.