45results about How to "Implement Performance Evaluation" patented technology

The invention discloses a network security protection method and system. The network security protection method comprises the steps of obtaining multi-dimensional data; preprocessing the acquired multi-dimensional data to generate to-be-analyzed data; analyzing the to-be-analyzed data and generating an early warning report, wherein the early warning report is used for forecasting threats; analyzing the to-be-analyzed data and generating an early warning report, wherein the early warning report at least comprises situation awareness, real-time analysis early warning or network intrusion attackpath and threat traceability analysis; wherein the situation awareness comprises the step of extracting a flow upper limit in a normal network state from the to-be-analyzed data by using machine learning, trusted flow data are divided from the to-be-analyzed data according to the flow upper limit, a flow assessment model is established according to the trusted flow data, network flow is assessed according to the flow assessment model, and the early warning report is generated if abnormal flow is monitored. And the real-time analysis early warning is used for carrying out early warning on abnormal data.

The invention relates to a four-wheel drive pure electric vehicle hardware-in-the-loop simulation experimental system. The system comprises a drive motor and controller subsystem, an electric dynamometer and controller subsystem, torque and rotational speed sensors, a vehicle dynamic model real-time simulation subsystem and a signal detection and analysis subsystem. The system achieves pure electric vehicle four-wheel independent drive via the motor and controller subsystem, and achieves simulation of vehicle travel load via the electric dynamometer and controller subsystem. Vehicle dynamic response is achieved by operating a real-time simulation model through a real-time controller, and signal input, output and conditioning of a vehicle control unit are achieved by the aid of an FPGA (field programmable gate array). The system is capable of performing hardware-in-the-loop simulation for four-wheel drive pure electric vehicles to achieve rapid development and product testing of a vehicle drive system, and has the advantages of energy saving, safety, rapidness and low cost.

The invention provides a detecting system and method for a partial discharge detecting sensor of GIS. The method comprises steps as follows: detecting and verifying the GIS partial discharge detecting sensor; detecting and verifying a GIS partial discharge UHF (ultra high frequency) sensor; and detecting and verifying a GIS partial discharge ultrasonic and UHF sensor positioning system. The system comprises a system GIS tank, a high-voltage sleeve, grading rings, basin-type insulators, a built-in camera, typical GIS defect models, a standard UHF sensor, a to-be-detected UHF sensor, an ultrasonic signal injection port, a UHF signal injection port, ultrasonic sensors, an ultrasonic partial discharge positioning system and a UHF partial discharge positioning system. The system and the method solve the problems that performance differences of ultrasonic sensors and UHF sensors of manufacturers cannot be compared and the performance of GIS partial discharge detecting systems of the manufacturers cannot be compared.

The invention relates to a method and a system for fault diagnosis of electrical equipment. The method comprises the following steps: obtaining a state parameter data and confirming each abnormal state parameter according to the state parameter data; confirming each fault class related to each abnormal state parameter according to a preset fault diagnosis model which comprises an incidence relation between the fault class and the state parameter and a fault influence weight value of each state parameter to the fault class; and performing fault diagnosis on each related fault class according to the fault influence weight value of each abnormal state parameter to the related fault class. According to the method provided by the invention, the incidence relation between each state parameter and each fault class is established, the fault class is possibly related to a plurality of state parameters, and the fault diagnosis is performed on each related fault class according to the fault influence weight value of each abnormal state parameter to the related fault class, so that the comprehensive assessment for the state of the electrical equipment is realized and the accuracy of the fault diagnosis for the electrical equipment is increased.

The invention relates to a performance evaluation and operation optimization system for an electrostatic precipitation system. The performance evaluation and operation optimization system comprises a state evaluation system, an on-line simulation system and the operation optimization system. Multiple key system data of the electrostatic precipitation system are acquired, the real-time operation state of the electrostatic precipitation system is exactly known, the operating data of the electrostatic precipitation system are analyzed through a data algorithm, and evaluation is conducted on the important indexes of the rate of putting into operation, the operating efficiency, energy efficiency and the like of facilities; and modeling is conducted through the system, a full-flow computer simulation model of the electrostatic precipitation system is built, the internal physical rule and the performance constraint condition of the electrostatic precipitation system are applied, the model optimization solution is conducted, the dynamic optimization parameters are determined, and the optimum control strategy of comprehensively considering the economic performance and the environment protection performance is obtained. By the adoption of the performance evaluation and operation optimization system, the performance evaluation and operation optimization of the electrostatic precipitation system can be achieved effectively, and the performance evaluation and operation optimization system has the beneficial effects of being fast in response speed, precise in evaluation conclusion, capable of remarkably improving the efficiency and saving energy and the like.

The invention discloses a testing method and a testing apparatus of a network device. The testing method includes obtaining a first transmission time slot between a first data packet and a second data packet according to a capture file obtained from the network traffic; obtaining a second first transmission time slot according to the first transmission time slot and a preset magnification of the data stream of the first data packet; configuring N test packets for N IP (Internet Protocol) addresses of a preset IP address pool of the data stream of the first data packet, wherein the numerical value of the N is identical with that of the magnification; sending the N test packets to a device to be tested according to the second transmission time slot; receiving the test data packet forwarded by the device to be tested; and obtaining test results according to the received test data packet. According to the testing method and the testing apparatus of the network device, the increase of network traffic can be simulated realistically.

The invention discloses a power distribution network communication system performance evaluation method and device. The method comprises the steps of obtaining performance index data of a power distribution network communication system; carrying out quantization processing on the performance index data; and evaluating the communication network according to the performance index data. According tothe method and the device, a communication performance evaluation index system adaptive to power distribution network communication business transmission is defined, various pieces of performance index data are obtained, fussy normalization processing is carried out on the performance index data, and the communication network is evaluated according to the performance index data. The matching between a communication technology and power distribution business is solved, and the guidance for the model selection of the communication technology in a power distribution communication network construction and transformation process is provided. The performance evaluation of the communication system under different power distribution network business type demands is realized.

The invention relates to the technical field of power transformation material performance test equipment, and provides a power transformation material bending and fatigue testing machine. The power transformation material bending and fatigue testing machine comprises a base, a loading device and a torsion head. The machine is reasonable and compact in structure and convenient to use. Based on thecooperative usage of the loading device, a first screw-nut mechanism, a rotating disc, a first driving mechanism, a tension load sensor and a torque sensor, the rotating disc is rotated or the torsionhead is horizontally moved on the same testing machine. As a result, the testing machine can be used for carrying out conventional bending strength and torsion strength tests on transformer substation insulators and hardware tools with various sizes. The testing machine can also be used for carrying out the fatigue test and simulating the working states of the transformer substation insulators and the hardware tools. Therefore, the performances of the transformer substation insulators and the hardware tools can be evaluated. The testing machine is especially important for evaluating the performances of transformer substation materials.

The invention relates to a turbine data acquisition system based on industrial internet and edge computing. The turbine data acquisition system based on industrial internet and edge computing includesa shafting vibration signal acquisition module, an industrial soft gateway and a cloud module, wherein the shafting vibration signal acquisition module is used to perform shafting vibration signal acquisition and feature extraction on the shafting vibration signals, and realize remote transmission of the shafting vibration signals after feature extraction; the industrial soft gateway includes a communication module, a turbine data acquisition configuration module and a turbine data sending module; and the cloud service module includes a public cloud service module and a private cloud servicemodule, and the main function of the cloud service module is to perform efficient data management and data analysis. The invention provides a turbine data acquisition, analysis and diagnosis system with good applicability, strong portability, wide data resources and high diagnostic precision. The turbine data acquisition, analysis and diagnosis system effectively improves the problem that the prior art is lag in the detection means, is low in the utilization efficiency of big data, and is low in the accuracy of the analysis and diagnosis results.

The invention discloses a capability evaluation method for a thrust descending fault of a low-thrust engine. The capability evaluation method comprises the following steps: (1) calculating the residual degree D of the axial thrust of an engine; (2) performing fault severity grading judgment on the residual degree D of the axial thrust of the engine; (3) predicting and calculating the remaining flight time ts; (4) calculating theoretical residual flight time tsl; and (5) comparing the remaining flight time ts with the theoretical remaining flight time tsl. According to the capability evaluationmethod, for the small-thrust engine, the shutdown amount information within a certain time period is used for carrying out capacity evaluation, and the influence of quantization errors, inertial measurement unit tool errors and other interference on capacity evaluation is eliminated, and the evaluation accuracy is improved.

The invention provides a phase-based partial discharge generation device and a phase-based partial discharge generation method with adjustable discharge capacity and density. The phase-based partial discharge generation device comprises a main control unit, a PWM circuit, a filtering circuit, a pulse generation circuit, a phase shaping circuit, a key and a knob switch, wherein the pulse generationcircuit is used for generating a discharge pulse according to an instruction of the main control unit; the PWM circuit is used for generating a pulse voltage according to the instruction of the maincontrol unit, after the pulse voltage is stabilized and smoothed into a DC voltage by means of the filtering circuit, inputting the DC voltage into the pulse generation circuit to perform voltage regulation on the pulse generation circuit, and further outputting stable discharge voltage; and the phase shaping circuit is used for shaping a phase pulse output from the main control unit into a sinusoidal signal to serve as a phase output signal. The phase-based partial discharge generation device and the phase-based partial discharge generation method can realize verification and performance evaluation of a partial discharge monitoring system and equipment thereof, thereby guaranteeing the safe operation of the partial discharge monitoring system, finally guaranteeing the safe operation of cables, and guaranteeing the stability and reliability of power supply.

The invention relates to a correlation evaluation method for Internet of Things object information searching and sorting. The method comprises the following steps: 1) establishing a user personalizedinterest model based on user historical query information; 2) establishing a quality scoring mechanism of the article based on the historical query information of the user; and 3) constructing a tripartite graph based on the two contents, and obtaining a correlation score through a random walk algorithm. The method has the beneficial effects that the personalized interest model of the user is mainly established, the quality scoring mechanism of the article attributes is established according to the historical query information of the user, and the correlation evaluation model of the candidatearticles is established. After the model is established, a user-article-article attribute tripartite graph is constructed based on the preference weight of the user and the article attribute quality score; correlation scores of the target user and different candidate items are obtained through a random walk propagation algorithm according to the item attribute tripartite graph, and correlation evaluation of the candidate articles is achieved.

The invention discloses a radar performance test and assessment method without third party data. The method includes collecting information data, building a motion model, performing non-linear fitting, performing motion equation solving and non-linear fitting calculating, and performing data integration and comparison. The method overcomes the limitations that the conventional radar equipment performance assessment needs a third party to participate, and therefore, the function of self-test and self-assessment of radar equipment itself can be realized, and the BIT function of the radar equipment can be enhanced; and research findings can be used for radar performance assessment, and also used for developing and building models which are used for performance assessment of other parameters of the radar equipment.

The invention discloses a testing method, device, equipment and system for a repositioning module and a medium. The method comprises the steps of obtaining first positioning auxiliary data collected by a to-be-positioned object; repositioning the to-be-positioned object based on the first positioning auxiliary data by using a repositioning module; the processing data is used for reflecting the performance of the repositioning module, and in this way, repositioning can be conducted through the repositioning module on the basis of the first positioning auxiliary data collected by the to-be-positioned object, and the repositioning accuracy of the repositioning module is improved. And processing data in the repositioning process is acquired to reflect the performance of the repositioning module, so that performance evaluation on the repositioning module is realized.

The embodiment of the invention provides a method and device for measuring the dissolution rate of a solid paraffin inhibitor. The method comprises a step of preparing condensate gas by adopting single degassing gas and condensate oil according to standards and putting prepared condensate gas into a condensate gas intermediate container, a step of uniformly mixing the solid paraffin inhibitor anda propping agent and then filling a rock core model with a mixture and weighing the filled rock core model to obtain a first rock core model weight, a step of setting experimental pressure, enabling the condensate gas in the condensate gas intermediate container to flow through the rock core model according to a preset flow rate and contact time under the action of a pressure difference, weighingthe rock core model again to obtain a second rock core model weight, and a step of calculating to obtain a dissolution rate of the solid paraffin inhibitor according to the first rock core model weight, the second rock core model weight, a total condensate gas volume flowing through the rock core model and the contact time of the condensate gas and the solid paraffin inhibitor. The effect evaluation of the solid paraffin inhibitor is achieved.

The invention discloses a fan hub center constant-current hot-wire wind speed sensing system and method, and belongs to the technical field of wind power generation. A constant-current hot-wire probe is fixed on the front end surface of a fairing and is exposed out of the front end surface of the fairing; and the constant-current hot-wire probe is connected with a probe temperature sensor, the probe temperature sensor is connected with a temperature signal collector, the constant-current hot-wire probe and the temperature signal collector are respectively connected with current shunts, the current shunts are respectively connected with a constant-current power supply and a signal conversion controller, and the signal conversion controller is connected to an SCADA system. According to the fan hub center constant-current hot-wire wind speed sensing system and method, the design is reasonable, the total cost is low, and the installation method is simple; the advantages of small geometric dimension, small thermal inertia, high response frequency, continuous measurement, high spatial resolution, small interference on a measurement flow field and the like of a hot-wire anemograph are fully exerted, the wind speed can be accurately measured, and the interference of wind wheel rotation on wind speed measurement is effectively avoided; and meanwhile, measured data can be used for correcting and checking the traditional anemograph.

The invention discloses a data mining system for a transformer. The data mining system comprises a sensor module, a micro-processing chip and a data storage; the sensor module is used for acquiring parameters of the transformer, and an output stage of the sensor module is electrically connected with an input stage of the micro-processing chip; and a first output end of the micro-processing chip iselectrically connected with an input end of the data storage. The sensor module comprises a sleeve sensor, an oil temperature sensor, an iron core sensor, a mechanism sensor, a lead sensor, a coolersensor and a pressure regulating sensor. According to the data mining system for the transformer provided by the invention, different types of sensors are arranged on components of a main transformer,then comprehensive analysis and diagnosis are carried out through data of the sensors, the overall performance evaluation of the main transformer is realized, and the service life of the main transformer is effectively prolonged.