39 results about "Device Evaluation Method" patented technology

An output signal of digital baseband processing section 41 is directly input, and receiver noise adding section 103 adds receiver noise simulating the SNR variation due to fading to the signal while keeping an entire signal level constant in single-path channel simulation, while in multipath channel simulation, instantaneous variation adding section 101 and short-term interval variation adding section 102 add only amplitude variations to respective signals of paths, and automatic gain control section 104 keeps a level of the path-combined signal constant, whereby it is possible to evaluate channel performance of digital baseband processing section 41 without waiting for development of radio circuit 53, i.e. without an AGC circuit and AFC circuit in reception system 50.

The invention discloses a TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) model-based intelligent substation secondary equipment evaluation method. The method mainly comprises the following steps: (1) acquiring characteristic sample indexes of each secondary equipment of an intelligent substation; (2) constructing an initial matrix according to the characteristic sample indexes of each secondary equipment and further obtaining a standardized decision making matrix by using a vector standardization method; (3) determining a weight value matrix and performing point multiplication on the weight value matrix and the standardized matrix to obtain a standardized weight decision making matrix; (4) determining a positive ideal solution vector and a negative ideal solution vector, and calculating the relative similarity degree of an evaluation index and the positive ideal solution of each evaluation object; (5) obtaining the state level of each secondary equipment, then determining a weight value of each secondary equipment, and finally obtaining a weighted comprehensive state level of the secondary equipment of the intelligent substation. By using the method, large sample data with multiple indexes and multiple evaluation objects of the intelligent substation can be considered, so that the operation status of the secondary equipment of the intelligent substation is more accurately evaluated.

An input section (101) receives a manipulation input of a user (50). A biological signal detection section (102) measures an event-related potential of electroencephalogram of the user (50). An operation error judgment section (103) judges using the event-related potential of the electroencephalogram of the user (50) at around 300 ms from a timing when the input section (101) receives the manipulation input as a starting point whether or not the manipulation input is due to an operation error of the user. An equipment operation control section (104) determines an operation of an equipment (1) based on a result of judgment by the operation error judgment section (103).

The invention discloses a power user equipment evaluation method based on interval level analysis and interval entropy combination. The power user equipment evaluation method comprises the following steps: step 1, constructing a level structure model according to a form of adopting interval indexes by power utilization user equipment, wherein the level structure model is established according to a target layer, a criterion layer and a scheme layer; step 2, comparing the interval indexes in the level model in pairs and constructing an interval judging matrix A; step 3, checking the consistency of the interval judging matrix A; if the consistency of the interval judging matrix A is more than 0.1, returning to the step 2; and repeating the steps until other steps are operated to obtain an index evaluation comprehensive interval weight w. According to the method, on one hand, aiming at that the evaluation of the power user equipment is lack of demand side response, a power user equipment evaluation index system is provided from three aspects of energy efficiency evaluation, security monitoring and demand response; and on the other hand, an interval level analysis and interval entropy combination method is adopted to make up for the deficiencies that the subjective randomness of a level analysis method and the objectiveness of an entropy method are too strong.

The embodiment of the invention provides a portable electronic device evaluation method, a recovery method, a terminal, a cloud end and a system. A method for recover portable electronic equipment includes collecting evaluation data of equipment to be recovered by a recovery terminal; processing the collected evaluation data and sending the processed evaluation data to the recovery cloud or directly sending the collected evaluation data to the recovery cloud so that the recovery cloud can evaluate the equipment to be recovered to generate an evaluation result; the evaluation result sent by therecovery cloud being received, and the evaluation result being provided to the customer for the customer to carry out the recovery transaction. The portable electronic equipment recovery method provided by the embodiment of the invention can improve the data processing efficiency and the timeliness of data updating.

The invention discloses an equipment evaluation method and device based on the IOT (Internet of Things), and a computer readable storage medium. The method includes the steps: calculating a fault score of to-be-evaluated equipment according to an alarm event and a preset alarm score after the alarm event and the operation data of the to-be-evaluated equipment in a first preset time period; predicting predicted operation data of the to-be-evaluated equipment in a second preset time period according to a prediction model and the operation data; comparing the predicted operation data with a corresponding preset warning threshold to obtain a comparison result, and calculating an operation data score of the to-be-evaluated equipment according to the comparison result; taking the fault score andthe operation data score as an evaluation result of the to-be-evaluated equipment for output. The method not only can achieve the evaluation of the health status of the equipment based on the operation data and alarm event that has occurred, but also can predict the fault that will happen to the equipment, and comprehensively and predictably evaluates the health degree of the equipment.

The embodiment of the invention discloses a video evaluation method and a device. The method comprises: obtaining audio and video parameters, network transmission parameters and screen configuration parameters of the video; based on the audio and video parameters, network transmission parameters and screen configuration parameters, obtaining the video scoring output set by using the video perception evaluation model; obtaining the user experience score included in the rating output set as the result of the video evaluation. In this way, the effects of audio and video, network transmission andplaying screen on video user experience are considered comprehensively, and the video perception evaluation model is adopted to simplify the calculation complexity, improve the accuracy and efficiencyof video evaluation, and reduce the time cost.

The invention discloses a partial discharge detection device evaluation method comprising a static state index evaluation method and a dynamic state index evaluation method. The static state index evaluation method is characterized in that the static state calibrating of the partial discharge detection device can be carried out according to the related specification of the partial discharge, and the comparison between the index result and the index of the related specification can be carried out to acquire the static state index evaluation. The dynamic state index evaluation method is characterized in that the ps level pulse signal can be input in the partial discharge detection device, and the dynamic state index evaluation of the partial discharge detection device can be analyzed by comparing the input pulse signal and the output pulse signal according to the spectrum analysis method; and according to the non-distortion transmission condition, whether the dynamic state index evaluation accords with the dynamic state index can be determined. The partial discharge detection device evaluation method is advantageous in that the performance of the partial discharge detection device can be evaluated systematically and accurately, and the realization is simple, and the calibrating cost is low; the requirement of the national standard on the evaluation of the partial discharge detection device can be satisfied, and the standard reference signal can be provided for the calibrating and the correcting of the related device, and the measurement standard and the evaluation system can be provided for the purchase of the partial discharge detection device.

The embodiment of the invention discloses a wearable or implantable device evaluation system and a wearable or implantable device evaluation method. The wearable or implantable device evaluation method comprises the following steps that an external information collection module collects the monitoring information of a wearable or implantable device, a data processing and optimizing module carries out optimizing process on the data obtained in the previous step, and compares the processed data with the standard measurement data in a standard information module, thus obtaining comparison parameters, and finally combination is carried out by combining with the comparison result and other reference information in the standard information module, and the final evaluation result is given. In the above treatment process, a middle operation result can be stored into a data storage module according to requirements. According to the system and the method disclosed by the embodiment of the invention, the subjective and objective influence factors including the equipment, the recognition degree for the colleted data, and the user evaluation are synthesized, and subjected to datamation treatment, and comprehensive and quantitative evaluation on the wearable or implantable device is realized.

The invention provides a device evaluation method, and the method comprises the steps of building an evaluation index system of a device, receiving the parameter values of the to-be-evaluated indexesgenerated by the device in an operation process, wherein the evaluation index system comprises a plurality of key components, and each key component comprises a plurality of to-be-evaluated indexes; inputting the parameter values into a membership function, and outputting a membership numerical value of each to-be-evaluated index; calculating the first weight of each key component in the evaluation index system, and generating a first matrix by using all the first weights; converting the membership numerical value into an evaluation numerical value, and converting the evaluation numerical value into a fuzzy matrix through a fuzzy comprehensive evaluation method; and generating the plurality of target evaluation numerical values of the device through the first matrix and the fuzzy matrix, according to the corresponding relationship between the target evaluation numerical values and the evaluation results, selecting the evaluation result corresponding to the maximum target evaluation numerical value from the plurality of target evaluation numerical values as the target evaluation result. According to the present invention, the evaluation result is simple and clear.

During a one-path transmission path simulation, the entire signal level is maintained constant and a receiver noise imitating an SNR fluctuation caused by fading is added by a receiver noise addition section (103). During a multi-path transmission path simulation, only the amplitude fluctuation caused by fading is given to a signal of each path by an instantaneous fluctuation giving section (101) and a short-long interval fluctuation giving section (102) and the signal level of the paths synthesized by an automatic gain control section (104) is made constant. Thus, it is possible to evaluate the transmission path performance of the digital base band processing section (41) without waiting for development of a radio circuit (53), i.e., without using an AGC circuit or an AFC circuit in the reception system (50).

The embodiment of the invention provides an Internet-of-Things equipment evaluation method, device and system. The method comprises the steps of obtaining a detection vulnerability, corresponding to an evaluation item, of a to-be-evaluated device, wherein the detection vulnerability corresponds to a vulnerability detection function, and the vulnerability detection function influences the securityof the to-be-evaluated device based on the evaluation item; determining a vulnerability influence level corresponding to the detection vulnerability according to the detection vulnerability function,wherein the vulnerability influence level is used for measuring the influence degree of the detection vulnerability on the security of the to-be-evaluated device; calculating project weight values ofdifferent evaluation projects based on the vulnerability influence levels; and solving an evaluation result of the to-be-evaluated device by utilizing the project weight value and the vulnerability influence level of the detection vulnerability. According to the method, when the evaluation result is determined, the grades corresponding to the vulnerabilities with different functions are considered, and the weight values corresponding to different evaluation items are also considered, so that the evaluation result obtained by calculation has a relatively high practical application value.

The invention discloses a portable electric quantity metering device evaluation method based on an improved and optimized membership function, and the method comprises the steps: carrying out the grading and evaluation of all indexes of an evaluated sample according to a comprehensive evaluation index system of a portable electric quantity metering device, and obtaining original evaluation data; and calculating a membership value of each index data of the sample by using a typical membership function to obtain an improved and optimized membership function of each index, and further calculating the membership value of each index data. When different membership functions are adopted for evaluation in an existing method, obtained mapping results have differences. Meanwhile, due to the fact that each membership function has undetermined parameters, different parameter selection methods can also influence mapping results of the membership functions, and then the credibility of evaluation results obtained under a single membership function is not high. According to the method, the problems of singleness and subjectivity in an existing membership function selection method can be effectively solved.

Provided are an energy storage device evaluation device, a computer program, an energy storage device evaluation method, a learning method, and a generation method capable of optimally distributing a load in consideration of degradation of the energy storage device. The energy storage device evaluation device includes an action selection unit that selects an action including a change in the load state of the energy storage device based on action evaluation information, a state acquisition unit that acquires a state of the energy storage device when the selected action is executed, a reward acquisition unit that acquires a reward when the selected action is executed, an update unit that updates the action evaluation information based on the acquired state and reward, and an evaluation unit that evaluates the state of the energy storage device by executing the action based on the updated action evaluation information.

The present invention discloses a high-voltage equipment state evaluation method, a high-voltage equipment on-line monitoring device evaluation method, a high-voltage equipment state evaluation apparatus and a high-voltage equipment on-line monitoring device evaluation apparatus. The high-voltage equipment state evaluation method includes the following steps that: acquired spectrograms are compared with an established typical spectrogram sample library, wherein the typical spectrogram sample library contains at least a variety of distorted type typical spectrograms; and whether the acquired spectrograms are distorted spectrograms or non-distorted spectrums is judged, when the acquired spectrograms are the distorted spectrograms, the distortion of the spectrograms is related to the fault of an on-line monitoring device, when the acquired spectrograms are the non-distorted spectrograms, the acquired spectrograms are used for judging the operating state of high-voltage equipment. With the methods and apparatuses of the invention adopted, the correct judgment rate of the operating state evaluation of the high-voltage equipment can be improved, and the operating state of the on-line monitoring device can be also monitored and evaluated.

The invention discloses an evaluating method and a parameter testing method for optical equipment of a dense wavelength division multiplexing (DWDM) system and provides a standard parameter and an evaluating method for the optical equipment of the DWDM system as well as a testing method for the parameter. The evaluating method for the optical equipment comprises the following steps of: determining a phase parameter testing value of the optical equipment to be evaluated; comparing the phase parameter testing value with a phase parameter threshold; and evaluating whether the optical equipment is available or not. The parameter testing method comprises the following steps of: adjusting the phase parameter of the optical equipment within the determined channel frequency range; and when the transmission performance of the system is ensured, taking the phase parameter at the time as a first phase parameter threshold for evaluating the optical equipment within the channel frequency range.

The invention relates to an LSTM-based equipment evaluation method and system, and relates to the field of intelligent transportation. The method comprises the following steps: constructing an input feature vector of an LSTM model, wherein the input feature vector comprises state data of the equipment; constructing a training set, a verification set and a test set based on historical data; constructing an initial LSTM (Long Short Term Memory) model; training, verifying and testing the initial LSTM model, and generating a final LSTM model; and based on equipment state data acquired in real time, evaluating the equipment state and the abnormality type through the LSTM model. According to the equipment evaluation method and system based on the LSTM, the running state of the future equipment is predicted based on the historical state sequence data of the equipment, such as the current, the voltage, the chip temperature, the idle memory size, the fault time, the fault type and the network packet loss rate, so that the real-time performance and the accuracy of equipment state monitoring are improved.

The present invention discloses a high-voltage equipment state evaluation method, a high-voltage equipment on-line monitoring device evaluation method, a high-voltage equipment state evaluation apparatus and a high-voltage equipment on-line monitoring device evaluation apparatus. The high-voltage equipment state evaluation method includes the following steps that: acquired spectrograms are compared with an established typical spectrogram sample library, wherein the typical spectrogram sample library contains at least a variety of distorted type typical spectrograms; and whether the acquired spectrograms are distorted spectrograms or non-distorted spectrums is judged, when the acquired spectrograms are the distorted spectrograms, the distortion of the spectrograms is related to the fault of an on-line monitoring device, when the acquired spectrograms are the non-distorted spectrograms, the acquired spectrograms are used for judging the operating state of high-voltage equipment. With the methods and apparatuses of the invention adopted, the correct judgment rate of the operating state evaluation of the high-voltage equipment can be improved, and the operating state of the on-line monitoring device can be also monitored and evaluated.

The invention discloses an accelerometer vibration imbalance error evaluation method and device, a storage medium and equipment, and the method comprises the following steps: (1), building the input excitation of an accelerometer based on a random vibration principle; (2) establishing an accelerometer vibration output model, and modeling accelerometer output as truncation normal distribution; and (3) deriving expectation of truncation normal distribution according to the steps (1) and (2), and calculating the vibration imbalance error of the accelerometer. The evaluation device comprises an input excitation establishing module which is used for establishing accelerometer input excitation based on a random vibration principle; the output model building module is used for building an accelerometer vibration output model and modeling accelerometer output as truncation normal distribution; and the calculation module is used for calculating the vibration imbalance error of the accelerometer according to the expectation of deducing the normal distribution of the truncation form. The evaluation method can effectively reduce the design risk of the inertial navigation system, shorten the development time and improve the reliability of the inertial navigation system.

The invention discloses a TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) model-based intelligent substation secondary equipment evaluation method. The method mainly comprises the following steps: (1) acquiring characteristic sample indexes of each secondary equipment of an intelligent substation; (2) constructing an initial matrix according to the characteristic sample indexes of each secondary equipment and further obtaining a standardized decision making matrix by using a vector standardization method; (3) determining a weight value matrix and performing point multiplication on the weight value matrix and the standardized matrix to obtain a standardized weight decision making matrix; (4) determining a positive ideal solution vector and a negative ideal solution vector, and calculating the relative similarity degree of an evaluation index and the positive ideal solution of each evaluation object; (5) obtaining the state level of each secondary equipment, then determining a weight value of each secondary equipment, and finally obtaining a weighted comprehensive state level of the secondary equipment of the intelligent substation. By using the method, large sample data with multiple indexes and multiple evaluation objects of the intelligent substation can be considered, so that the operation status of the secondary equipment of the intelligent substation is more accurately evaluated.

The invention discloses an evaluation method for firework gunpowder production safety monitoring equipment. The evaluation method comprises the following steps: 1, obtaining inefficiency c and recovery rate d of each piece of monitoring equipment in a firework gunpowder factory; 2, setting all monitoring equipment to be in a running state in an initial state; 3, setting the interval operation of afailure state and a repair state during operation for each piece of monitoring equipment, wherein the operation time of the failure state is c*a, the operation time of the repair state is d*a, a is arandom number between 1 millisecond and 10 milliseconds, and a is randomly extracted between 1 millisecond and 10 milliseconds when the failure state and the repair state are switched each time; 4, establishing a coordinate system which takes time as an a axis and takes the serial number of each monitoring device as a y axis; and 5, after the a-axis duration time t, counting the total duration t1when the number z of the monitoring devices in the repair state at the same time is greater than or equal to n in the t time period, wherein (t1 / t)*100% is the overall reliability of the monitoring equipment, and n represents a threshold value when the set number of the monitoring devices is the safe operation number.

The embodiment of the invention provides monitoring equipment, an evaluation method and evaluation equipment of a dual-energy accelerator. The monitoring equipment comprises: a signal acquisition device used for acquiring a pulse signal at a preset node of the accelerator to generate pulse data; a first memory connected with the signal acquisition device and used for caching the pulse data generated by the signal acquisition device; a first processor connected with the first memory and used for reading the cached pulse data from the first memory; a second memory; and a second processor connected with the first processor and the second memory and used for receiving the read pulse data from the first processor, packaging and compressing the received pulse data to generate a pulse data file and storing the generated pulse data file in the second memory.

The purpose of the present invention is to easily and accurately evaluate an optical system of a light analyzing device. Provided is an evaluation method for a light analyzing device, comprising an optical system (A) capable of forming a confocal volume (C) at a focal point by concentrating excitation light (B), that includes: a step of disposing a phantom sample (1) that is made by arranging a plurality of solid members (2, 3), which are of two or more types having different concentrations of a fluorescent material, to be adjacent in the focal point of the optical system (A); a step of moving the confocal volume (C) formed by the optical system (A) relative to the phantom sample (1) in the direction that the solid members (2, 3) are arranged and emitting the excitation light onto the phantom sample (1) via the optical system (A); a step of detecting fluorescent light generated by the solid members (2, 3) disposed in the confocal volume (C); and a step of evaluating the optical system (A) on the basis of the detected fluorescent light.

An embodiment of the invention provides an electrostatic discharge protection device evaluation method, an electrostatic discharge protection device evaluation device and a computer readable storage medium, which are applied to the technical field of electronics. The electrostatic discharge protection device evaluation method is applicable to an ESD protection device which is of a gate-grounded N-channel field effect transistor structure. The electrostatic discharge protection device evaluation method comprises the steps of: determining self-heating thermal resistance of the ESD protection device according to thermal conductivity, volume density, heat dissipation surface area and ambient temperature of the ESD protection device; and evaluating thermal stability of the ESD protection deviceaccording to the self-heating thermal resistance. The electrostatic discharge protection device evaluation method, the electrostatic discharge protection device evaluation device and the computer readable storage medium solve the problems that the electrothermal effect of the prior art has great influence on the ESD protection device and a protected core circuit and the normal operation of a chipis jeopardized.