45results about How to "Enable real-time evaluation" patented technology

Disclosed are a recommendation method and server. In the method, recommendation lists sent by various recommendation systems are combined by using a preset combining policy, to obtain multiple recommendation models, or a system feeds back a recommendation result to a user, the combined recommendation list is updated according to a selection probability fed back by the user, to implement real-time estimation, a selection result periodically fed back by the user is received, and the combined recommendation list is updated, to reflect both a current interest and a historical interest of the user.

The invention provides a method and a device for online evaluation of a converter valve state based on grey clustering. The method comprises: acquiring online monitoring data of a converter valve in apreset time period; establishing a state evaluation indicator matrix of the converter valve according to online monitoring data, and calculating a score value of each evaluation parameter class in the state evaluation indicator matrix according to the online monitoring data; respectively constructing a whitening weight function corresponding to each preset gray class according to at least three preset grey classes; according to a preset weight value of each evaluation parameter class and the whitening weight function of the score value of each evaluation parameter class, using a grey clustering algorithm to respectively calculate a clustering weight value of each preset grey class; and evaluating an operating state of the converter valve according to the each clustering weight value. By implementing the method, real-time evaluation of the operating state of the converter valve is realized without manual operation, accuracy of an evaluation result is improved, and potential risk prediction of the converter valve is realized, and provides good data basis for planned maintenance of the converter valve.

The invention relates to a house asset valuation method, comprising the steps of dividing second-hand house valuation regions, and collecting house transaction prices of each residential area in the second-hand house valuation regions; determining residential area value influence factors; determining house feature influence factors; fitting a house feature valuation model; obtaining model parameter variables in batches; and calculating prices of to-be-valuated second-hand houses. According to the house asset valuation method provided by the invention, on the basis of transacted second-hand house history data, through combination of own attribute features of the second-hand houses, price valuation is carried out on the to-be-valuated second-hand houses, and the model fitting is carried outthrough computer assisted calculation, so a valuation result has relatively high accuracy, the valuation efficiency is greatly improved, and the social labor cost is greatly reduced. An algorithm model does not deep on subjective wishes of a valuator, a result is impartial, fair and efficient. According to a house batch price valuation algorithm, the house prices are valuated in real time and in batches, and the cost of each piece of valuation is reduced from thousands to dozens of yuan.

The invention discloses an overhead transmission line icing flashover trip-out probability calculation method. Based on the research on the icing flashover mechanism and development trend of the overhead transmission line, the icing flashover trip probability model of the overhead transmission line is established by taking the icing online monitoring data and the real-time monitoring data of the overhead transmission line over the years as objects and comprehensively utilizing fuzzy evaluation, mathematical statistics and other methods to evaluate the icing development stage. A line icing stage division model is established through a fuzzy evaluation method, line icing stage division model parameters are calculated through a fuzzy C-means clustering method, and an icing flashover trip-outprobability calculation model is established on the basis of research on icing thickness and flashover probability. The method can effectively support overhead transmission line differentiation processing, and is of great significance for improving the on-site lean operation and maintenance level and improving the safe operation performance of power grid equipment.

The invention discloses a fire-fighting monitor fire extinguishment effect automatic monitoring and reburning prevention system and a method. The system comprises an information collection unit, a communication control unit, an information processing unit and a fire extinguishment execution unit. The information collection unit monitors a fire extinguishment area and transmits monitored information to the information processing unit through the communication control unit. The information processing unit processes image information, the fire-fighting monitor fire extinguishment effect is evaluated according to preset parameters, and instructions corresponding to the evaluation results are transmitted to the information collection unit and a fire extinguishment control unit correspondingly. If the judgment result indicates that a fire is not completely extinguished or can reburn, the image information is further analyzed, the position where the fire is not completely extinguished or can reburn is determined, the information and the position information are transmitted to the fire extinguishment control unit, and the fire extinguishment control unit controls fire-fighting monitor locating and carries out fire extinguishment. According to the fire-fighting monitor fire extinguishment effect automatic monitoring and reburning prevention system and the method, the fire-fighting monitor fire extinguishment effect can be monitored in real time, the fire extinguishment effect can be evaluated, and reburning is prevented from happening to the fire area.

The technical proposal of the invention discloses an importance evaluation method of industrial equipment data, which comprises the following steps: S1, collecting a sample data set of industrial equipment, recording the basic situation of the sample data set, and scoring the importance of the quality evaluation index of the data set to form a sample scoring data scoring table; S2, establishing avirtual scoring model based on sample data; 3, scoring the data set to be evaluated accord to the virtual scoring model; S4: based on the scoring results and combined with the data quality evaluationmodel, the data quality evaluation score of the data set to be evaluated being obtained. The technical proposal of the invention realizes the real-time evaluation of the importance of the industrial equipment data, avoids the situation that the entity experts need to be invited, and reduces the manpower cost, and the evaluation result is accurate and reliable.

The invention provides a digital urban energy refined service system. The digital urban energy refined service system comprises a signal processing unit, an an-site work station, a controller and issuing system, wherein the on-site work station is connected with the signal processing unit by network signals, the controller is connected with the on-site work station by signals and used for controlling the energy consumption of a served terminal, and the issuing system is connected with the signal processing unit by signals and used for issuing the digital processing result, the controller is connected with an illuminating system and an equipment system of the served terminal by signals, the on-site work station comprises an acquirer for acquiring the energy consumption information of mechanisms or buildings of the served terminal, a user control side is connected with the signal processing unit by signals, and a remote access terminal is in signal connection with the signal processing unit via the Internet. The digital urban energy refined service system realizes mass acquisition, mass access, online modeling, online energy saving, real-time control and real-time estimation on the building energy consumption information, remedies a domestic blank of the shortage of energy consumption evaluation systems, thereby being an intelligent scheme for building energy-saving equipment control.

The invention discloses a method and device for evaluating video conference quality and a computer readable medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring multi-modal data of a video conference, wherein the multi-modal data at least comprises two types of modal data; performing coding processing on the multi-modal data to generate multi-modal representation; carrying out splicing processing or addition processing on the multi-modal representation to generate a fusion vector; taking the fusion vector as a training sample, and carrying out model training by utilizing a plurality of training samples to generate an evaluation model; obtaining to-be-tested multi-modal data of the video conference; and predicting the to-be-tested multi-modal data by using the evaluation model to generate a quality evaluation result. Therefore, the video conference quality can be objectively evaluated based on the evaluation model, the accuracy and timeliness of video conference quality evaluation are improved, and the problem of low accuracy of video conference quality evaluation in the prior art is solved.

The invention provides an evaluation method and system for the burden distribution situation of a blast furnace. The evaluation method comprises the steps of acquiring an actuating signal of a burdendistribution device and current furnace burden information, and determining to enter a burden distribution stage; acquiring furnace condition characterization parameters in the burden distribution stage to obtain the actual change situation of the furnace condition characterization parameters; comparing the actual change situation with a theoretical change situation according to a Cartesian product of furnace burden types, the furnace condition characterization parameters and the theoretical change situation which are obtained in advance, wherein the theoretical change situation comprises a standard burden distribution theoretical change situation and at least one abnormal burden distribution theoretical change situation of an abnormal type; and judging the current burden distribution situation according to the comparison result between the actual change situation and the theoretical change situation. According to the evaluation method, the furnace throat temperature and the supply airpressure and the like are associated with burden distribution accurately and effectively; compared with other methods depending on experience, the evaluation method has the advantages that reasons are speculated based on many factors, and the reliability of evaluation results is improved, and the guiding significance in regulation of a blast furnace burden distribution system is improved.

The invention discloses a flexible multifunctional electronic device for wheel-rail force online monitoring, and relates to the field of rail transit wheel-rail relation and flexible electronics. Thedevice comprises a temperature sensing function module, a dynamic strain sensing function module and a piezoelectric vibration sensing function module. All the modules are integrated on the same flexible substrate, the device is installed on a wheel spoke curved surface, and keeps conformal contact with the wheel spoke curved surface, and the acting force between wheel rails is calculated by utilizing dynamic strain and vibration information of spoke plates, so real-time monitoring of the wheel-rail contact state (temperature, dynamic strain and vibration information) of the high-speed train is achieved, the flexible multifunctional electronic device is prepared through micro electro mechanical machining and a laser lift-off technology, and technical guarantee is provided for monitoring application of the flexible electronic technology in the wheel-rail relation.

The invention relates to an invoice data generation method and system based on a block chain technology and computer equipment. The method includes: when the invoice creation quota is greater than thecurrent remaining quota, sending an invoicing limit evaluation request to a node in an invoicing system block chain; enabling an invoicing limit evaluation node in the invoicing system to process operation data and historical invoicing data of an invoice issuer based on a clustering algorithm and an interval relationship between the operation data and an invoicing limit to obtain the invoicing quota update value, broadcasting the invoicing quota update value to each node in the invoicing system block chain, receiving the invoicing quota update value by the invoice creation node, and completing invoice creation according to invoice creation logic in the smart contract when the invoicing quota update value is smaller than or equal to the invoice creation quota. According to the process, theinvoicing amount of the invoice issuer can be evaluated in real time, invoicing is completed, a unified invoicing amount estimation scheme is provided for various platforms with different requirements to complete invoicing, and the invoice creation efficiency is improved.

The invention discloses a real-time calculation method of a nonlinear error in arc tangent demodulation of a phase-generated carrier (PGC). Interference fringes produced by a laser interferometer aresimultaneously detected by two photoelectric detectors; and the detection centers of the two photoelectric detectors are spaced at a distance of a one-quarter-cycle interference fringe. When a measuring lens in the interferometer is moved, the to-be-measured phase of the interferometer is changed continuously; PGC demodulation is carried out on interference signals detected by the two photoelectric detectors to obtain demodulation phase values; difference processing is carried out on the demodulation phase values to obtain a phase difference; detection is carried out in real time and a peak-to-peak value of a nonlinear item of the phase difference is obtained and a non-linear error corresponding to the demodulation phase is calculated based on the peak-to-peak value. According to the invention, the non-linear error caused by the arc tangent demodulation of the PGC can be evaluated in real time. Compared with the traditional total harmonic distortion method, the real-time calculation method has the following advantages: the method is realized simply, the evaluation result is visual, and the real-time performance is good. And the method can be applied to evaluation of phase modulation non-linear errors of an interference-type optical fiber sensor or a self-mixing interferometer.

The invention discloses a real-time evaluation method for economy of a large condensing steam turbine of a thermal power plant. The method is based on plant-level monitoring information systems configured for most thermal power plants. The method comprises the following steps: analyzing historical data of measurement points related to the economy of a steam turbine in an SIS database; by taking the state of a certain period with excellent performance in the historical operation period of the steam turbine as a reference, realizing the relative value of the current steam turbine economy compared with the reference state through data preprocessing and multi-round training by utilizing a deep belief network algorithm, so that the real-time evaluation of the steam turbine economy state is realized. The method depends on an SIS system, and is convenient to use and high in practicability, can help thermal power plant operators and equipment owners to master the performance state of the steamturbine in real time, can provide reference for overhaul time arrangement of the large condensing steam turbine, and explores a new direction for knowledge mining of mass data of the thermal power plant and state overhaul of related equipment.

The invention provides an enterprise credit risk identification method and device which can be used in the financial field or other fields. The identification method comprises the following steps: acquiring a target bank customer having a transaction with a bank enterprise customer and transaction data between the target bank customer and the bank enterprise customer; determining an association relationship between the bank enterprise customer and the target bank customer according to a pre-established knowledge graph, the knowledge graph comprising all bank customers and an association relationship between the bank customers; and carrying out credit risk identification on the transaction data of the target bank customer based on the association relationship. According to the method, the labor investment can be reduced, the risk conduction can be effectively reduced, the response time is shortened by timely alarming, and the detection efficiency is improved.

The invention relates to a road surface quality evaluation method and device based on a vehicle-mounted inertial measurement unit. The method comprises the following steps: acquiring a plurality of accelerations and a plurality of angular velocities output by at least one axis of a vehicle-mounted inertial measurement unit in a sampling period; respectively calculating the vibration frequencies of a plurality of accelerations and the vibration frequencies of a plurality of angular velocities output by the at least one shaft in the sampling period; respectively calculating variances of a plurality of accelerations and variances of a plurality of angular velocities output by the at least one shaft in the sampling period; and according to the vibration frequencies and variances of the plurality of accelerations and the vibration frequencies and variances of the plurality of angular velocities, calculating the road surface quality value of the road through which the vehicle passes in the sampling period. According to the scheme provided by the invention, the real-time requirements of navigation and control of the automatic driving vehicle can be met.

An actual navigation performance evaluation and improvement method based on numerical integration comprises the following specific steps: 1, constructing a navigation system position error distribution model; 2, performing integral calculation of binary normal distribution on the circular area by adopting an efficient approximation method; and 3, solving the radius of the circular domain under the specified probability by using a binary iteration method, thereby obtaining the evaluation of the ANP value of the aircraft. The invention aims to provide the actual navigation performance evaluation and improvement method based on numerical integration, a navigation system position error distribution model is constructed, an efficient binary normal distribution integral solving method is adopted for integral calculation under the deviation condition, an integral circular domain radius value under the specified probability is obtained according to a binary iteration method, and the integral circular domain radius value under the specified probability is obtained. And evaluation of actual navigation performance is realized.

The invention provides a ship power supply system electric energy quality on-line monitoring and evaluation device which is used for on-line monitoring and evaluation of a ship electric propulsion AC / DC power supply system. The device comprises surge current, current unbalance degree, pulse load, jump load, harmonic analysis, voltage deviation, voltage drop, transient voltage deviation, peak voltage, ripple voltage, relative value of voltage change, line voltage unbalance degree, frequency deviation, transient frequency deviation, transient frequency recovery time and frequency periodic change. The device has the functions of man-machine interaction, historical data query, waveform analysis recording and data communication, can adaptively correct the evaluation weight of the electric energy quality index, gives an electric energy quality comprehensive evaluation result in real time, has the minimum monitoring duration of 0.8 us for the electric energy quality characteristic parametersof the electric propulsion AC / DC power supply system, has the sampling precision reaching 2.498 mV, and the process from sampling to data analysis of 69 electrical measurement channels is completed within 50ms.

The invention discloses a real-time detection system and method applicable to a fuel cell of a 7.0T / 60mm-caliber magnetic resonance imager. The real-time detection system comprises a fuel supply apparatus, a fuel cell, a temperature detection and adjustment apparatus, a heat dissipation apparatus and a data collection and processing apparatus; a flow control apparatus, a humidifying apparatus anda heating apparatus are arranged between the fuel supply apparatus and the fuel cell; the fuel cell and the temperature detection and adjustment apparatus are in electrical signal connection; the temperature detection and adjustment apparatus and the heat dissipation apparatus are in electric signal connection; and the data collection and processing apparatus and the fuel cell are in electric signal connection. By virtue of the real-time detection system and method, requirements of coil dimension and detection safety of the 7.0T / 60mm-caliber animal magnetic resonance imager are satisfied, andstable regulation and control of various parameters of the fuel cell can be realized, thereby performing real-time detection and data collection; and the real-time detection system is wide in applicable range, high in fuel cell control sensitivity, stable and reliable in the detection result, and has possibility of wide popularization.

The invention discloses an electric power system transient stability evaluation method, which comprises the steps: building a to-be-tested electric power system by using electric power system time domain simulation software PSD-BPA; extracting a characteristic quantity capable of representing the state of an electric power system based on large amount of sample data, and performing normalization processing on characteristic data; completing the construction of a multi-radial basis function extreme learning machine integration model, wherein the output result of the integration model is the output after the prediction results of all sub-models are integrated; and after a fault occurs, inputting the acquired characteristic quantity of the electric power system at the steady-state moment andthe fault occurrence moment of the electric power system and after the fault removing into the trained multi-radial basis function extreme learning machine integration model, and predicting the transient stability of the electric power system. According to the method, the stability rules learned by different sub-models are utilized, so that important engineering application value is achieved for online transient stability evaluation of the electric power system on the premise that high evaluation accuracy is kept.

The invention discloses a real-time evaluation method for self-defense electronic anti-jamming effectiveness, which includes: step 1, establishing a jamming effectiveness evaluation algorithm by obtaining the probability that a downloader in different battlefield situations is attacked by a missile; step 2, taking the current battlefield situation data as input, The current survival probability of the carrier aircraft is calculated in real time through the established interference effectiveness evaluation algorithm. The invention realizes the real-time evaluation of the combat effectiveness of the electronic countermeasure by establishing a unified electronic countermeasure interference effectiveness evaluation algorithm aimed at combat applications, thereby assisting operators to complete tactical decision-making.

The invention discloses a performance evaluation method, device, terminal and storage medium of a prosthesis action classifier. The method includes: determining a test item among a plurality of preset test items as the current test item; displaying the starting point and test target in the current test item on the coordinate axis, and continuously acquiring the electromyography signal of the subject , identify the myoelectric signal through the prosthetic action classifier to obtain the result action, draw the action track corresponding to the result action from the starting point, and record the test time; according to the action track of the current test item and the test time , determining the test value of the current test item for the test evaluation index; combining the test values ​​of the multiple test items for the test evaluation index to obtain the evaluation value of the prosthetic movement classifier for the overall evaluation index. The invention realizes the real-time evaluation of the performance of the prosthesis action classifier, and obtains quantified evaluation results, which are relatively accurate.

This application relates to a method, system and computer equipment for generating invoice data based on block chain technology. When the invoice creation amount is greater than the current remaining amount, the request for evaluating the amount of invoicing is sent to the nodes in the block chain of the invoicing system, and the invoicing system The billing quota evaluation node processes the business data of the invoice issuer and the historical billing data based on the clustering algorithm and the interval relationship between the business data and the billing quota, obtains the updated value of the billing quota, and broadcasts the updated value of the billing quota to the blockchain of the billing system For each node, the invoice creation node receives the updated value of the billing quota. When the updated value of the billing quota is less than or equal to the invoice creation quota, the creation of the invoice is completed according to the invoice creation logic in the smart contract. The above process can realize the real-time evaluation of the billing amount of the invoice issuer and complete the billing. For various platforms with different needs, a unified billing amount estimation plan is provided to complete the billing, which improves the efficiency of invoice creation.

The invention discloses an intelligent terminal of a distribution transformer and a working method thereof, and belongs to the technical field of power equipment state detection. Theintelligent terminal comprises a multisensor signal integration module, a data processing and calculating module, an energy-taking power supply module and a communication module, the multisensor signal integration module and the energy-taking power supply module are respectively connected with a temperature sensor, a vibration sensor and a partial discharge sensor which are arranged in the distribution transformer, and the energy-taking power supply module is of a current induction type and is arranged in the distribution transformer; and the multisensor signal integration module is connected with the data processing and calculating module, and the data processing and calculating module is in communication interconnection with the upper computer through the communication module. According to the invention, timely processing of data can be ensured, data redundancy is avoided, real-time evaluation of the operation state of the transformer, fault early warning and life evaluation can be realized, the reliability and safety of the distribution transformer are improved, and the reliability and safety of the whole power supply network are further improved.

The invention provides an accounting collaborative performance rating assessment system, which comprises a detection device, an acquisition device, a processing device, an assessment device, a displaydevice and a processor, and is characterized in that the detection device is configured to detect accounting data and perform verification or entry based on verification of the accounting data; the acquisition device is configured to detect and monitor the operation and progress of an operator and access cache data of the accounting database; the processing device is configured to grade the dataamong the operators; the evaluation device is configured to acquire data of the processing device and respond to data verification; and the display device is configured to evaluate the evaluation result of the evaluation unit and update the evaluation data result in real time. According to the invention, the evaluation device is adopted to evaluate each operation, cooperative work can be carried out, real-time interaction between an operator and an evaluation rule is promoted, real-time evaluation is realized, and promotion suggestions are given in time.

The present application relates to a road surface quality evaluation method and device based on a vehicle inertial measurement unit. The method includes: obtaining a plurality of accelerations and a plurality of angular velocities output by at least one axis of a vehicle-mounted inertial measurement unit in a sampling period; calculating respectively vibration frequencies and a plurality of accelerations output by the at least one axis in the one sampling period The vibration frequency of the angular velocity; respectively calculate the variance of the multiple accelerations and the variance of the multiple angular velocities output by the at least one axis in the one sampling period; according to the vibration frequency and variance of the multiple accelerations, and the multiple angular velocities Vibration frequency and variance of the vibration frequency, and calculate the road surface quality value of the road that the vehicle passes through in the one sampling period. The solution provided by this application can meet the real-time requirements for navigation and control of autonomous vehicles.

The invention provides a quality evaluation method and evaluation system for new energy grid-connected data. According to the quality evaluation method, a reference data sequence matched with a presetlength data sequence before to-be-evaluated data is searched from reference sample sequences based on a vector matching method and a linear correlation method; and the quality mark of the next data of each reference data sequence is taken as a candidate quality mark of the to-be-evaluated data, and the candidate quality mark with the most same frequency is determined as the quality mark of the to-be-evaluated data. According to the method, quality evaluation is carried out on the new energy grid-connected data based on vector matching and linear correlation, real-time evaluation on the quality of different types of new energy out-of-disease data is achieved through the method, and the quality evaluation effect is good.

The invention discloses a real-time calculation method of a nonlinear error in arc tangent demodulation of a phase-generated carrier (PGC). Interference fringes produced by a laser interferometer aresimultaneously detected by two photoelectric detectors; and the detection centers of the two photoelectric detectors are spaced at a distance of a one-quarter-cycle interference fringe. When a measuring lens in the interferometer is moved, the to-be-measured phase of the interferometer is changed continuously; PGC demodulation is carried out on interference signals detected by the two photoelectric detectors to obtain demodulation phase values; difference processing is carried out on the demodulation phase values to obtain a phase difference; detection is carried out in real time and a peak-to-peak value of a nonlinear item of the phase difference is obtained and a non-linear error corresponding to the demodulation phase is calculated based on the peak-to-peak value. According to the invention, the non-linear error caused by the arc tangent demodulation of the PGC can be evaluated in real time. Compared with the traditional total harmonic distortion method, the real-time calculation method has the following advantages: the method is realized simply, the evaluation result is visual, and the real-time performance is good. And the method can be applied to evaluation of phase modulation non-linear errors of an interference-type optical fiber sensor or a self-mixing interferometer.

The invention discloses a self-confirmation type magnetic liquid micro differential pressure sensor which is suitable for micro differential pressure measurement. The device comprises a transparent glass tube (1), a first cylindrical hollow permanent magnet (2-1), a second cylindrical hollow permanent magnet (2-2), a first induction coil (3-1), a second induction coil (3-2), a first magnetic liquid ring (4-1), a second magnetic liquid ring (4-2), a first cylindrical permanent magnet (5-1), a second cylindrical permanent magnet (5-2), an iron core (6), a first limiter (7-1), a second limiter (7-2), an infrared range sensor (8) and a subtractor (9). The first cylindrical permanent magnet (5-1), the second cylindrical permanent magnet (5-2) and the iron core (6) commonly compose a composite magnetic core. The self-confirmation type magnetic liquid micro differential pressure sensor moves in the range limited by the limiters, the real-time estimation on the working state of the magnetic liquid micro differential pressure sensor is achieved under the action of the infrared range sensor (8) and the subtractor (9), and accurate measurement and safety production are ensured.