48results about How to "Enable online assessment" patented technology

The invention discloses online accuracy detection method and system of a current transformer. A standard current sensor is connected with a transmission line and collects a current signal on the transmission line; a current signal output by the current transformer and the current signal on the transmission line are collected by respective signal collectors and sent to a signal processor in sharingtime; and the signal processor synchronously sends the signals to a central processing system (CPU) which compares and processes the two signals received in the same clock and calculates the error conditions of the measured current transformer. The online accuracy detection system of the current transformer can be electrically connected or disconnected with a circuit of a transformer to be measured and can uninterruptedly carry out accuracy comparison measurement with the transformer to be measured under an electric operation condition for dozens of hours so as to estimate the current transformer under different operational working conditions and environmental characteristics, achieve the online accuracy estimation of the current transformer and have favorable effect.

The invention relates to a method for comprehensively estimating the insulation state of sulfur hexafluoride electrical equipment and belongs to the technical field of monitoring and estimation on the insulation state of the sulfur hexafluoride electrical equipment. In the method, a computer and a comprehensively estimating device of the sulfur hexafluoride electrical equipment with the application number of 201020240900.0 are utilized, a fuzzy theory and a neural network method are applied by utilizing a program, and then the method carries out comprehensive estimation to the insulation state of the SF6 electrical equipment by adopting the working mode of an Windows interface. The method can be used for carrying out monitoring, intelligent analysis and comprehensive estimation to the running indexes comprising brackish water, mainly discharged decomposition products (HF, CO, SO2 and H2S) and the concentrations thereof and the like in SF6 gas of the SF6 electrical equipment, and has the characteristics of simple operation, high efficiency, flexible and convenient use, convenient on-site rapid diction and estimation and the like. The method can be widely applied to rapidly detecting and estimating the insulation state of the SF6 electrical equipment in power stations and transformer substations.

The invention relates to a dance training evaluation system based on a digitized place and a wireless motion capture device. Two-dimensional plantar pressure distribution information and space posture information of a dancer are synchronously collected through the digitized place and the wireless motion capture device in real time, and motion information of the dancer is obtained through information fusion and sent to a computer through the Ethernet; the computer drives a human body model to move in a three-dimensional space through data of the motion information, the motion reconstruction of the dancer is achieved, and meanwhile biomechanics parameters and kinematics parameters of motions are extracted, analyzed and displayed; dancing postures of the dancer are evaluated online by establishing a dancing motion template and a knowledge base, and guidance and demonstration are achieved for the dancer in real time. On the basis of the movable digitized place which can be spliced and the wearable wireless motion capture device, the motion information of the dancer can be captured on the premise of not influencing the dancing motions of the dancer, and the dance training evaluation system is suitable for teaching training and evaluation of various dances.

The invention discloses an on-line monitoring device of an operating state of a mining high-voltage distribution isolating switch. The device comprises a current transformer, three vibration sensors, three infrared temperature sensors, a current signal conditioning module, a vibration signal conditioning module, a data acquisition module, a frequency tracking module, a microprocessor module, a data storage module, a setting module, a display module and the like, wherein the current transformer is connected with the current signal conditioning module; the vibration sensors are connected with the vibration signal conditioning module; the current signal conditioning module is connected with input ports of the infrared temperature sensors and the data acquisition module; an input end of the frequency tracking module is connected with any output port of the current signal conditioning module; the frequency tracking module is connected with the microprocessor module; and the vibration signal conditioning module, the data acquisition module, the data storage module, the setting module, the display module and the like are respectively connected with an analog / digital (AD) interface, a data line, an address line, a control line, a general purpose input / output (GPIO) interface and an asynchronous serial interface of the microprocessor module. By adoption of the device, the problem of state on-line monitoring of the contact temperature, flowing current and vibration change of the isolating switch is solved.

The invention discloses an analysis / evaluation system and an analysis / evaluation method for power grid fault characteristic data. Based on an equipment fault alarm message which is transmitted from an intelligent power grid scheduling control system, the equipment fault alarm message is firstly acquired, and then various kinds of alarm data in the scheduling control system are automatically gathered and combined according to fault time and fault equipment, wherein the alarm data comprise switch displacement, abrupt change in factory station accident total test and remote test, disturbance analysis short report based on PMU, fault recorded data, fault short reports based on the fault recorded data, etc. Then the alarm data are analyzed and evaluated at aspects of real-time performance, accuracy and integrity of the alarm data. Finally the data quality problems of the alarm data and the detailed original alarm data are output, thereby displaying an analysis / evaluation result for the quality of the power grid fault characteristic data to a user. The analysis / evaluation system and the analysis / evaluation method can realize automatic analysis and evaluation on the power grid fault characteristic data and furthermore provide convenient high-efficiency technical supporting means for data quality inspection by system operation personnel.

The invention belongs to the field of real-time optimization control of the industrial production and discloses a method suitable for online evaluation of the global operation condition in the continuous production process. The continuous production process is divided into a planned scheduling layer, a real-time optimization layer and a process control layer from top to bottom,online evaluation ofcross-layer collaborative operation conditions of three comprehensive layers is realized by analyzing feedback influence of operation performance of the process control layer on operation performanceof the real-time optimization layer, analyzing feedback influence of operation performance of the real-time optimization layer on operation performance of the planned scheduling layer and distinguishing operation condition evaluation standards under different inlet work conditions, information transfer and feedback between operation conditions of each layers are integrated, the global operation condition can be more accurately evaluated, and 'non-optimal' cause tracing of the operation conditions is performed.

The invention discloses an electric-information-based equipment performance evaluation system and an electric-information-based equipment performance evaluation method. The measured electric information of the conventional supervisory control and data acquisition (SCADA) system is fully mined, and the performance of elements can be effectively reflected by performance indexes formed by combining electric quantities. The performance of the elements of a power grid is dynamically evaluated in real time by comprehensively using the theory of random processes. An adopted client / server (C / S) architecture comprises a basic data layer, an element performance evaluation platform and an analysis application layer, wherein the basic data layer provides a basic data platform for realizing the functions of the system; the element performance evaluation platform realizes the running performance evaluation of a substation and a transmission line on the basis of generalized power grid topology division; and the analysis application layer timely discovers elements with degraded performance to provide a reference for the electric equipment overhauling of operational staff according to element performance evaluation results on the basis of the element performance evaluation platform.

The invention discloses an on-line soft measurement method for a coal quality fluctuation state. On the basis of real-time operation state monitoring data of a coal milling machine, on-line raw coal moisture calculation is carried out according to a heat balance principle, thereby realizing on-line evaluation on the drying capacity of the coal milling machine. Therefore, the accuracy and pertinence of operation staff and scheduling staff adjustment can be improved.

The invention relates to an overhead conductor and a risk assessment method of overtemperature of a connecting fixture thereof. The method comprises: obtaining a parameter identification model of axial micro-element thermal circuit of overhead conductor connection fittings, obtaining the on-line monitoring data of overhead conductor connection fixture and its two-side conductor axial section, pre-processing the monitoring data, identifying the parameters of the pre-processed monitoring data, and evaluating the overtemperature risk of the overhead conductor connection fixture in bad operation conditions on-line by using the identification data. The overhead conductor and the connected fittings are monitored on-line and the overtemperature risk is evaluated in real time, the abnormal temperature rise caused by the large contact resistance of the transmission line can be avoided and the local hot spot can be formed, and thus the safety and stability of the operation of the power system are improved.

The invention discloses a fault recognition system and method for an escalator or a moving walkway. The fault recognition system comprises a pair of intelligent guide rails symmetrically disposed on two sides of the escalator correspondingly, an intelligent step corresponding to the intelligent guide rails, a step roller or a step chain roller disposed above the intelligent guide rails and step fault monitoring devices correspondingly disposed on the intelligent guide rails on both side, wherein the step fault monitoring devices each comprise a side surface sensor for measuring guide rail vibration or step roller pressure and a first signal processing module for analyzing or uploading a measured signal. The fault recognition system and method can recognize and position faults such as steproller wear and cracking, rail joint opening and loosening and guide rail foreign matter, and facilitate the maintenance of the escalator or the moving walkway.

The invention provides an online estimation system and method for basic heat value received by low-heat-value coal power generation as-fired fuel. The system comprises a data collection module which is used for collecting the operation state logic judgment and online estimation real-time parameters of a low-heating-value coal power generation project; a data storage module which is used for storing real-time acquired data by the system; a data calculation module which is used for estimating an in-furnace fuel receiving base heat value by using the acquired real-time parameters; a data publishing module which is used for system acquisition and computing data uploading and publishing. According to the method, a coal consumption checking test result is used for fitting a power generation coalconsumption curve to replace an original complex online calculation method; instable influence factors during operation of a unit are eliminated, the basic heat value received by the as-fired fuel ofthe low-heat-value coal power generation project is estimated in real time through an inverse balance method, online evaluation of the low-heat-value coal power generation project is achieved, and data support is provided for comprehensive utilization of low-heat-value coal for power generation property judgment of the low-heat-value coal power generation project.

The invention discloses a current transformer error state discrimination method and device, terminal equipment and a medium, and the method comprises the steps: constructing a monitoring data set and a modeling data set based on all lines under the same node of a transformer substation according to the real-time secondary output data of a detected current transformer in each line and the historical data in a normal operation state; simulating a line fault state in the modeling data set to generate fault data; constructing an abnormal database of the detected current transformer by using the fault data and the modeling data set; determining a local abnormal factor threshold boundary of the abnormal database; and calculating a local abnormal factor of the monitoring data set, comparing the local abnormal factor with a threshold boundary of the local abnormal factor, and judging an error state of the detected current transformer. According to the invention, online evaluation of the metering error of the current transformer is realized, dependence on power failure and a physical standard device is eliminated, and the method is suitable for current transformers with different principles or accuracy levels, and has the advantages of high precision and strong applicability.

The invention discloses an improved fuzzy comprehensive evaluation-based cable operation state evaluation method, which comprises the following steps of: obtaining a cable joint partial discharge evaluation characteristic quantity, and performing standardization processing; calculating a weight value of each evaluation characteristic quantity by adopting a comprehensive weighting method; dividingevaluation grades in combination with multiple operation states of the cable joint, and determining a membership function of each grade according to the divided evaluation grades; substituting the standardized values of the evaluation characteristic quantities of the cable joints of different switch cabinets of the same transformer substation into the membership function of each level, so as to obtain a fuzzy relation matrix of each cable joint; and carrying out weighted average operation on the weight value of each evaluation characteristic quantity by utilizing the obtained fuzzy relation matrix, and determining an evaluation grade corresponding to the operation state of the cable joint according to a maximum membership degree principle. According to the method provided by the invention,each evaluation characteristic quantity of partial discharge is comprehensively weighted by adopting an improved comprehensive weighting method, so that the insulation health state of the cable jointcan be timely and accurately evaluated.

The invention discloses a fire load assessment method and system of nuclear power plants. The method includes the following steps: S1, building a combustible information database of a nuclear power plant; S2, building a standardized calorific value database of a nuclear power plant; S3, synchronously updating the information of the combustible information database for materials newly added to thenuclear power plant each time, determining the fire load data of the newly added materials each time according to the standardized calorific value database, updating the total fire loads of corresponding storage areas in real time after the materials are newly added each time, and calculating the fire load density, fire duration and maximum temperature of fire of the corresponding storage areas inreal time according to the total fire load after the materials are newly added; and S4, determining the fire load risk criterions suitable for the storage areas after the materials are newly added each time, and assessing and prompting the risk levels of the storage areas under the determined fire load risk criterions after the materials are newly added each time. The method and system are convenient for the statistics and query of fire load data and the approval of power plant material storage, and the functions of online assessment of newly added fire loads can be achieved.

The invention provides a method and device for predicting wind speed of a wind turbine generator system. The method for predicting the wind speed of the wind turbine generator system comprises the following steps that the time difference between the wind speed measurement time of a laser radar and the wind speed measurement time of another wind measuring device of the wind power generator system;first data warehouse separation processing is carried out on the wind speed data measured by the laser radar, and the wind speed data measured by the wind measurement device which is correspondingly matched with the wind speed data of each data warehouse obtained by the first data warehouse separation processing is calculated according to the time difference; the wind speed data measured by the wind measurement device is subjected to secondary data warehouse separation processing, and wind speed prediction is carried out according to the result of the secondary data warehouse separation processing. According to the method and device for predicting the wind speed of the wind turbine generator system, the wind speed of the wind turbine generator system is predicted, and the probability distribution value of the predicted wind speed can be obtained online, so that the online evaluation of the credibility of the predicted wind speed of the wind turbine generator system is realized.

The invention relates to the technical field of battery evaluation, in particular to a power battery health state evaluation method, device and system and a battery swapping station. The invention aims at solving the technical problem of how to evaluate the health state of a power battery in time and accurately. In order to achieve the purpose, the power battery health state evaluation method provided by the invention mainly includes the following steps: obtaining battery voltages corresponding to multiple preset states of charge of a power battery during the current charging and the previouscharging; and evaluating the current health state of the power battery according to the voltage variation of the battery voltage corresponding to each state of charge. Based on the steps, a first health factor of the power battery can be calculated in real time according to the variation of battery voltage during each charging process, and the health state of the power battery can be evaluated according to the first health factor, that is, online evaluation of the health state of the power battery is realized. Meanwhile, the first health factor can be corrected by a correction coefficient calculated by using a calibrated health factor.

Embodiments of the present invention provide a method, an apparatus, and a network device for data service experience evaluation. The method comprises: receiving a downlink packet sent by a server in the Internet to a mobile station (MS), and recording an identification of the downlink packet and a first time when the downlink packet is received, the downlink packet comprising the identification of the downlink packet; receiving, according to the identification of the downlink packet, a downlink reply packet sent by the MS to the server, and recording a second time when the downlink reply packet is received; and obtaining round-trip delay corresponding to the downlink packet according to the first time and the second time, so as to implement evaluation on data service experience. The technical solution of the present invention improves the instantaneity of the data service experience evaluation.

The invention relates to a test device for nondestructive online evaluation of the aging state of a relay. The test device comprises a signal acquisition and processing unit, a control display unit and a power supply module. The signal acquisition and processing unit is used for acquiring an electromagnetic signal generated when the relay acts, processing, operating and analyzing the electromagnetic signal and then outputting an analysis signal containing the evaluated aging state of the relay. The control display unit is used for obtaining and displaying aging state information of the relay according to the analysis signal. The power supply module is used for supplying power to the signal acquisition processing unit and the control display unit. The signal acquisition and processing unitcomprises an electromagnetic signal acquisition module, a signal conditioning module, a signal amplification module, a high-speed AD module and an analysis and operation module which are connected insequence. The analysis operation module comprises a feature extraction sub-module and a classifier sub-module. The control display unit comprises a control module and a display module. The device canrealize lossless and online evaluation of the aging state of the in-service relay, and has remarkable economic benefits and practical values.

The invention discloses a method for nondestructively evaluating the irradiation damage of a reactor pressure vessel in a nuclear power station. The method comprises the following steps: measuring the initial value of initial coercive force (HC) of a monitored part of reactor pressure vessel steel; measuring the coercive force HC of the same monitored part subjected to irradiation damage at any point in time; computing the coercive force change rate delta HC of the reactor pressure vessel steel during the process of irradiation damage according to the initial coercive force (HC) and the coercive force HC measured at any point in time, computing the real-time RTNDT, USE, Rm and Rp0.2 of the reactor pressure vessel during the process of irradiation damage, and performing analysis and evaluation on the irradiation damage degree of steel of the reactor pressure vessel steel. Compared with the prior art, the method has the advantages that the method is economical, environmental-friendly, safe and efficient, not only can perform real-time on-line evaluation, but also is accurate in data and good in testing operation safety, and can monitor the irradiation damage degrees of multiple parts of the reactor pressure vessel at the same time.

The invention relates to a scheduling knowledge management system for intelligent manufacturing. The system comprises a scheduling knowledge learning module driven by data, which is used for knowledgemining of scheduling data samples to obtain scheduling knowledge. A scheduling knowledge application module, responsive to receiving a scheduling request, for calling the scheduling knowledge to generate a scheduling policy matching with an intelligent workshop production state and obtaining a scheduling result; An on-line scheduling knowledge evaluation module, responding after obtaining a scheduling result, for judging the validity of the scheduling knowledge according to the scheduling result; The scheduling knowledge updating module responds when the scheduling knowledge is judged to be invalid, and is used for applying an online learning method to adjust the scheduling knowledge on the basis of adding updated samples. Compared with the prior art, the invention can better improve theadaptability of the scheduling knowledge, ensure the scheduling effectiveness, and has the advantages of continuously optimizing the overall performance of the intelligent workshop.

The invention discloses a temperature regulation performance evaluation method and device for an air conditioning system of a vehicle, and the method comprises the steps: collecting and storing equipment monitoring data in real time, wherein the equipment monitoring data comprises temperature sensor data, load data and operation parameters, and the operation parameters comprise an air conditioneroperation mode; dividing the equipment monitoring data into subsets corresponding to different air conditioner operation modes; utilizing the data in the subset to construct a temperature model corresponding to the air conditioner operation mode; using the temperature model to calculate the change condition of the temperature in the passenger area when the air conditioner air supply temperature changes, and obtaining the calculation result of the temperature change in the passenger area and the temperature adjusting performance index in the air conditioner operation mode; and generating an evaluation report according to the temperature adjustment performance index and historical result data. By means of the method, online evaluation of the temperature adjusting performance of the air conditioning system can be achieved.

The invention discloses a carbon fiber composite mold surface forming property screening method. The method comprises the specific steps that firstly, a numerical control machine tool is adopted for machining a forming surface on a female die; secondly, die prepreg is adopted to be laid on the surface of the female die in the first step, and after the prepreg is laid, according to the curing system of the die prepreg resin system, curing forming of a composite die in a hot pressing tank or oven can be finished; thirdly, the composite die is separated out of the female die, and is subjected tocold and hot circulation treatment, and point cloud information of the product profile is obtained, and is transmitted to a numerical control grinding and polishing machining system; fourthly, a high-spot material is removed, and after the profile precision is converge to the die profile precision threshold, a polishing device is adopted for carrying out circular polishing according to the profilefinal precision needs; and fifthly, a three-dimensional measuring method is adopted for carrying out comprehensive evaluation on the forming surface property. The comprehensive evaluation of the surface property after profile precision is improved through the grinding and polishing machining means of the carbon fiber composite die is achieved.

The invention discloses an intelligent spindle state evaluation method and system based on multi-source information fusion, belongs to the technical field of intelligent manufacturing, and specifically comprises original signal acquisition and preprocessing, original signal feature extraction, multi-source information fusion processing and a probabilistic neural network diagnosis model. Original signal feature extraction mainly comprises time domain, frequency domain and time-frequency domain related processing on collected data, and extracted information features reflect the service state of a spindle more completely; the feature information is fused; and a probabilistic neural network diagnosis model is created, the fused fault feature information is classified to acquire a diagnosis result, and finally state evaluation is made on the diagnosis result. According to the intelligent spindle state evaluation method, online evaluation of the intelligent spindle state is achieved, an important guiding effect is achieved on evaluation of the service state of the intelligent spindle and economic benefits are improved.

The invention relates to the technical field of computers. A diversified online mediation platform comprises a party platform which sends the mediation information of the party to a case management module; a case management module, classifying the mediation information, and sending the mediation information to the online mediation module; an online mediation platform, comprising a typed dispute center, other types of dispute centers, network lawyer mediation centers, county and district comprehensive treatment centers and / or network lawyer mediation centers. The method comprises: the typed dispute center carrying out typed mediation, if mediation is not successful, sending mediation information to the network lawyer mediation centers; the lawyer network mediation centers carrying out mediation according to the mediation information, and if mediation is not successful, performing online case filing; and / or the other dispute centers carrying out other types of mediation according to themediation information, if mediation is not successful, sending the mediation information to the county-district comprehensive treatment center or the network lawyer mediation center, and if mediationis not successful, performing online case filing. The data architecture is simple and reasonable, the data processing efficiency is low, and the data security is high.

The invention discloses a health state on-line monitoring circuit of a power device. The health state on-line monitoring circuit comprises a sampling resistor and a voltage signal acquisition circuit, wherein the sampling resistor is connected in series with a gate driving loop of the tested power device, the input end of the voltage signal acquisition circuit is connected in parallel with the two ends of the sampling resistor, and the output end of the voltage signal acquisition circuit is connected to the on-line monitoring equipment for the health state of the tested power device. A sampling resistor connected in series with a gate driving loop of a tested power device and a voltage signal acquisition circuit used for detecting voltages at two ends of the sampling resistor are utilized to acquire the change condition of gate leakage current of the tested power device in the switching process in real time; therefore, the output end of the voltage signal acquisition circuit is connected with a controller or a detection device so as to achieve on-line evaluation of the health state of the detected power device. The invention further discloses a health state on-line monitoring system of a power device, and the online monitoring system has the beneficial effects.

The invention relates to the technical field of numerical control gear hobbing machine tool machining, and discloses a long short-term memory networks-based gear hobbing quality online evaluation method aiming at the defects that the gear quality is required to be inspected manually and the efficiency is low in a conventional gear hobbing process. The long short-term memory networks-based gear hobbing quality online evaluation method comprises the following steps: acquiring a gear hobbing effective vibration sequence data set and a gear hobbing precision index data set in a gear hobbing machining process; establishing a characteristic matrix set through sample segmentation and characteristic extraction, and respectively establishing a precision matrix set corresponding to the characteristic matrix set aiming at each precision index; establishing an evaluation model of each precision index in each vibration direction based on the long short-term memory networks, and obtaining the evaluation model in the optimal vibration direction corresponding to each precision index; and intercepting the effective vibration sequence to be evaluated for a gear hobbing process to be evaluated, acquiring the characteristic matrix to be evaluated through the sample segmentation and the characteristic extraction, and obtaining a gear hobbing quality online evaluation result by combining the evaluation model in the optimal vibration direction corresponding to each precision index. Compared with the prior art, the long short-term memory networks-based gear hobbing quality online evaluation methodhas the beneficial effect of high efficiency.

The invention belongs to the field of gas concentration measurement, and particularly relates to a gas field center carbon monoxide concentration measurement method. Comprising the following steps: (1) constructing a carbon monoxide generation model based on a preparation method to obtain a carbon monoxide concentration-time relationship in a production process; (2) on the basis of the carbon monoxide generation model constructed in the step (1), processing a measurement value of an electrochemical sensor for measuring the concentration of carbon monoxide at the edge of a gas mass, and screening and abandoning an abnormal value; and (3) establishing a carbon monoxide state transition model from the edge concentration to the center concentration, and calculating the carbon monoxide concentration of the center of the air mass according to the measurement data of the sensor processed in the step (2) by adopting a measurement method based on Kalman filtering. The sensing error caused by inaccurate measurement due to the fact that the sensor cannot be arranged at the center of a gas field can be greatly reduced, and the running safety and stability of the carbon monoxide gas generating device are improved.

The invention discloses a distribution isolation switch on-line monitoring system for a kiln. The system comprises a current transformer, a combustion working condition sensor, infrared temperature sensors, a current signal conditioning module, a combustion state conditioning module, a data acquisition module, a frequency tracking module, a microprocessor module, a data storage module, a communication module, and a display module. The current transformer is connected to the current signal conditioning module. The combustion working condition sensor is connected to the combustion state conditioning module. The current signal conditioning module and the infrared temperature sensors are connected to the input port of the data acquisition module. The input end of the frequency tracking module is connected to any output port of the current signal conditioning module. The frequency tracking module is connected to the microprocessor module. The combustion state conditioning module, the data acquisition module, the data storage module, the communication module and the display module are connected to the AD port, data line, address line and control line, GPIO port and asynchronous serial interface of the microprocessor module. The online monitoring problem of isolation switch contact temperature, passing current and combustion state is solved.

The invention belongs to the technical field related to power generation equipment monitoring and condition maintenance, and discloses a power generation equipment condition assessment method based on an autoencoder, the method comprising the following steps: (1) Selecting energy state characteristic parameters, and periodically collecting them based on an SIS system The real-time operation data and historical operation data of the selected state characteristic parameters; (2) establishing a state characteristic parameter model, and determining the structure of the parameter model and the corresponding activation function at the same time; (3) using the historical operation data to train the parameter model, Until the obtained training error and training time are both minimum; (4) Statistical distribution characteristics of the residuals of the current state characteristic parameters obtained by the parameter model, and then determine the membership function relationship of each state characteristic parameter; (5) Step ( 4) The obtained residuals are input into the fuzzy state evaluation model for real-time evaluation of the operating state of the power generation equipment. The invention improves the evaluation accuracy, reduces the cost, and has strong applicability.