47results about How to "Realize online computing" patented technology

The invention discloses an online loss calculation method for a modular multilevel converter (MMC), and belongs to the field of power transmission and distribution. The method comprises the following steps of: 1) calculating the conduction loss of two insulated gate bipolar transistors (LGBT) and two flywheel diodes in each sub-module (SM); 2) calculating the switching loss of the two IGBTs and the reverse recovery loss of the two flywheel diodes in each SM; and 3) calculating related loss by using a loss calculation module. The method has the advantages that: 1, the complexity of manual measurement and calculation is effectively avoided when the MMC has a great number of modules, workload is greatly reduced, and the method is fast and convenient; 2, the online calculation of the loss of the MMC is realized, and the method is wide in application range, and can be applied to the loss calculation of an MMC system in any operating state; and 3, modular packaging is facilitated, a floor area is saved, the utilization rate of resources is increased, and the output of a platform comprises various kinds of loss and loss ratios, so that the method is direct and clear, and staff can conveniently observe the running state of the system at any time.

The invention discloses a fault-tolerant-vector-control-based third harmonic current injection method of a five-phase permanent-magnet motor. The method comprises: a fundamental wave decoupling model under various open-circuit faults of a five-phase permanent-magnet motor is established and a corresponding fundamental fault-tolerant current is deduced; according to a magnetic resonance method, a torque mathematical model under the fundamental fault-tolerant current is established; on the basis of the established torque model, an expression of third harmonic current injection under various open-circuit faults is deduced; on the basis of a superposition principle, the fundamental current is added to the third harmonic current to obtain a total fault-tolerant current; and with corresponding deflation clark and park transform, a current component under a rotation orthogonal coordinate system is obtained, so that third harmonic current injection under magnetic field orientation control and fault-tolerant vector control under faults is realized. Therefore, on-line calculation of the third harmonic current under fault-tolerant vector control and injection of the third harmonic current at a fixed switching frequency are realized; the torque ripple is suppressed and the system robustness is enhanced; and the switching loss and the electromagnetic interference are reduced.

The on-line prediction and evaluation method for calendar service time of high-temperature appliance of steam turbine comprises: if the residual loss prediction value ER of the appliance over the safe allowance EA, proposing the staff to adjust the set value of steam turbine to reduce main steam temperature variable rate during startup and loading variable rate, re-determining the low-cycle fatigue lifetime and the prediction values of annual calendar lifetime loss and residual loss, re-evaluating on-line calendar lifetime till the calendar lifetime on controlled security state. This invention is reasonable and applied.

The invention discloses a single strategy model prediction control method of a Buck converter. The single strategy model prediction control method is implemented according to the following steps of 1, building an ideal reduced discrete model of the Buck converter in a current continuous running mode; 2, determining voltage and current characteristics of the reduced discrete model; 3, determining a target function of model prediction control; 4, solving duty ratio of the prediction control; and 5, correcting a control error. Based on the ideal reduced discrete model of the Buck converter, prediction control strategy decision is fulfilled, the mathematical model is simple, the analytic expression of the prediction control decision is directly provided, the optimization problem solving is low in computation, moreover, error compensation is achieved only by correcting an expected value of the optimization target function, and on-line calculation of the control decision can be achieved.

The invention discloses a hierarchical latent variable model-based news recommendation method. The method comprises the steps of firstly extracting different types of news from major portal websites; then according to tags of the news, extracting news features; for registered users of a system, extracting explicit features and implicit features of the users to form user features; according to the user features and the news features, clustering the users and the news; adopting different latent variable models for the clustered news and users; predicting scores of the users to the news; selecting out multiple pieces of the news with the highest scores; and recommending personalized news to the users.

The invention provides a traffic signal control system and method based on edge side online calculation. The system comprises vehicle-mounted terminal equipment, a signal machine and a signal lamp controller, wherein the vehicle-mounted terminal equipment is used for acquiring vehicle information data of an installed vehicle in real time, combining the vehicle information data into a vehicle information data packet and sending the vehicle information data packet to the annunciator; the signal machine is used for calculating and obtaining road condition parameters of each road section of the intersection according to the plurality of collected vehicle information data packets, outputting a current road passing state through a fuzzy comprehensive evaluation model, adjusting a signal timing scheme and sending the signal timing scheme to the signal lamp controller; and the signal lamp controller is used for performing adaptive control on the signal lamp according to the received signal lamp timing scheme. The system can detect and comprehensively analyze the traffic operation state of the intersection in real time; and intersection signal coordination adaptive control is realized.

A high speed data logging system of single plate voltage on fuel cell is prepared for forming up-level computer by CAN card interface and double-way CAN card, forming down-level computer by fuel cell controller with CAN card interface, fuel cell single plate data logging controller with CAN card interface; connecting the first output port of up-level computer to CAN interface on said data logging controller and connecting CANB port on said data logging controller to can interface on voltage collection board of fuel cell single plate at down-level computer through standard CAN cable.

The invention provides a device for online monitoring and controlling residual service life of durable components of a steam turbine. The invention is characterized in that the device consists of a compute server, a database server, a web server, a user browser and a plant supervisory information device (SIS device); the web server is connected with the user browser, the database server and the compute server respectively; the compute server is connected with the database server which is connected with a digital electric-hydraulic control device (DEH) of the steam turbine by the plant supervisory information device (SIS device). The invention has the advantages of providing the device for online monitoring and controlling residual service life of durable components of the steam turbine and being capable of realizing online computing and controlling of the residual service life of durable components of the steam turbine.

The invention discloses a device for on-line monitoring the residue calendar life of a high-temperature pressure-containing member outside a furnace and a method thereof. The device is characterized by comprising a computing server of the residue calendar life of the high-temperature pressure-containing member outside the furnace, wherein the compute server of the residue calendar life is connected with a decentralized control device of the power station boiler through a supervisory information monitoring device. The method of the invention comprises the following step: reading on-line measure point data of the power station boiler; determining the least safe allowance of the residue calendar life; and controlling the residue calendar life of the high-temperature pressure-containing member outside the furnace according to the least safe allowance of the residue calendar life. The invention provides the device for on-line monitoring the residue calendar life of the high-temperature pressure-containing member outside the furnace and realizes the on-line calculation and control of the residue calendar life of the low-temperature pressure-containing member outside the furnace.

The invention discloses a predictive control method for the optimized output track of a DC-DC converter discrete model. The predictive control method comprises the following steps: step 1, establishing a discrete predictive model of a DC-DC converter; step 2, determining the steady-state voltage and the current characteristic of the discrete predictive model; step 3, determining the objective function of the discrete predictive model; step 4, determining a predictive control strategy. The method has the simple mathematical model and small computational amount of optimization problem solving and can realize online computation of control decisions. The method can work alone in a CCM, also can work alone in a DCM, and also can work in the mixed mode of the CCM and DCM. The method can avoid the voltage overshoot phenomenon of the DC-DC converter in the starting process and also has the accuracy and fastness of the DC-DC converter for regulation of output voltage under various running conditions.

The invention provides a method for monitoring and controlling security risk of a steam turbine rotor in an on-line manner. The method includes: calculating a fault probability FPi of the steam turbine rotor, monitoring a vibration signal of the steam turbine rotor on line, analyzing a vibration frequency of the rotor on line, monitoring a differential expansion signal of the steam turbine on line, monitoring an eccentric signal of the steam turbine rotor on line, calculating an average maintenance time MTTRi of the rotor, determining a weight coefficient Wi of the rotor fault result, calculating a security risk prioritizing number RPNi of the steam turbine rotor, evaluating security risk grade of the steam turbine rotor, determining a maximum security risk prioritizing number RPNmax of the steam turbine rotor, and recommending risk control measures of the steam turbine rotor. The invention provides an on-line monitoring and controlling method of the security risk of the steam turbine rotor, and realizes on-line calculation and control of the security risk of the steam turbine rotor.

The invention discloses an energy consumption calculation method and system and an air conditioning unit. The energy consumption calculation method comprises the following steps of establishing a characteristic calculation model of key parameters and energy parameters; capturing the key parameters during operation of an electric appliance, and inputting the key parameters into the characteristic calculation model to obtain corresponding energy parameters; inputting the energy parameters into a preset energy consumption calculation model to obtain a theoretical energy consumption value; uploading the key parameters and a theoretical energy consumption value to a server, establishing a data comparison table of the key parameters and the standard energy consumption value by the server, acquiring the corresponding standard energy consumption value from the data comparison table by the server according to the key parameters, calculating an error between the theoretical energy consumption value and the standard energy consumption value, and updating a correction coefficient in a preset energy consumption calculation model. The physical model is used for calculating the energy consumptionof the electric appliance, and the online operation energy consumption condition of the electric appliance can be obtained without an additional sensor or an electric meter.

The invention relates to a coal supply method of optimizing a fire power plant by real-time coal firing heat value coefficient. The method includes monitoring various main parameters of a running unit in a certain time, multiplying and dividing relevant variable integral to obtain a dimensionless coefficient which can directly indicate relative capacity of real-time coal-fired heating quantity ofthe unit and provide operation basis for adjustment and control of an automatic power generation unit. By the coal supply method, an expensive coal-quality online analyzer can be substituted, online computing of real-time coal-fired heating quantity of the power generation unit is realized, and a coat-fired heating value coefficient is obtained. The coat-fired heating value coefficient can indicate data relation between real-time coal-fired heating quantity and designed value, which on one hand, can provide running references for monitors and can provide important operation data for an automatic power generation control system on the other hand. The coal supply method realizes real-time load adjustment of the unit and provides important insurance for safe and stable running of the unit and high-efficient peak pitching and frequency modulation of the power grid.

The invention provides an energy efficiency prediction method of a WSN data lossy compression algorithm based on linear fitting. The method includes calculating the hardware coefficient k according to the hardware parameters of a sensor node; determining the relation between the compression ratio RC of the specific algorithm and the error tolerance Epsilon of the data compression by means of the polynomial fitting prediction method, and obtaining the predicted value of Rc according to the value of the given error tolerance Epsilon; predicting the relation between the software coefficient s and RC according to the algorithm code structure and determining the software coefficient s of the algorithm; and substituting the k value and the predicted values of s and Rc into an energy efficiency computational formula eta E=(Rc-s/k)*100% and obtaining the energy efficiency predicted value of the specific algorithm. The prediction method is only related to the compression coefficient and the compression ratio and the error tolerance under the condition that the compression algorithm has no errors, can predict the algorithm energy efficiency under the given error tolerance online and can correct the compression ratio prediction formula. The prediction method is simple in calculation and low in energy consumption, and provides the basis for selecting the energy efficient compression algorithm online for the sensor node in WSN.

The invention discloses a method for on line monitoring fatigue damage of nuclear grade equipment and pipelines. The key of the method for achieving on-line calculating of a fatigue using coefficient is to calculate the thermal stress field quickly; based on the principle of linear superposition, the Green function method can be used to calculate the thermal stress of structures quickly; on this basis, the fatigue using coefficient can be calculated on line, and the real-time on-line monitoring can be realized; the fatigue using coefficient of the nuclear grade equipment and pipelines can be calculated by using the Green function method; fluid temperature and pressure data needed by calculation are measured in real time by existing or newly added monitoring equipment, and finally fatigue damage assessment results can be output in real time in a display terminal of a main control room; therefore, the technical effects of reducing the conservatism of fatigue calculation and simplifying the fatigue design of the nuclear grade equipment and pipelines are achieved.

The invention provides a method and system for determining an electric load adjustment interval of a low-vacuum heat supply unit, and the method comprises the steps: obtaining a main steam flow correction coefficient according to a preset main steam flow and a main steam flow under a reference working condition, and obtaining an enthalpy drop correction coefficient and a regenerative steam extraction coefficient according to the iteration of steam exhaust parameter data and acquiring the total heat supply amount of the current working condition; when the total heat supply amount of the currentworking condition is larger than the preset heat supply requirement, acquiring the electric load according to the obtained main steam flow correction coefficient and steam enthalpy drop correction coefficient; calculating electric loads under different preset main steam flows and preset steam extraction flows, and taking a range between the maximum electric load and the minimum electric load of the unit as an electric load adjustment interval of the low-vacuum heat supply unit; according to the invention, the correction coefficient of the key parameter is introduced to calculate the electrical load, and the calculation efficiency can be greatly improved on the premise of ensuring the accuracy.

The invention provides a signal processing system for calculating real-time atmospheric turbulence parameters. A general programmable processor is used as a main processor (2) for calculation, and a coprocessor (3) which is provided with a hardware processing array is used for rapidly calculating a dense part, so that the real-time performance of the computation is guaranteed through the parallelcomputation of multiple processing units. Data of the main processor (2) and data of the coprocessor (3) are exchanged by a way that shared memory circuits (5, 6) are processed by ping-pang reading and writing through a memory control circuit (4). The processing system has a higher computation throughput capability and can be used for realizing the online calculation of the atmospheric turbulenceparameters in a working process of a self-adapted optical system; the real-time performance of the processing system is very good and the calculation efficiency of the atmospheric turbulence parameters is greatly improved; and the integration level and commonality of the signal processing system are very high so that the miniaturization and compatibility of devices are promoted and the hardware cost is saved.

The embodiments of the invention disclose a two-dimensional Hankel matrix multi-scale SVD transformation method. The method includes the following steps that: S1, three-phase traveling wave data are collected, and modulus transformation is performed on the three-phase traveling wave data, and linear traveling wave mode signals are obtained, and the linear traveling mode signals are analyzed; S2, Xtransformation is performed on the traveling wave linear mode signals, and an approximate component Pj and a detail component Qj under the decomposition scale of a j-th layer are obtained; S3, a composite matrix Cj is constructed based on the S2, SVD transformation is performed on the Cj, a singular entropy corresponding to the decomposition layer is calculated, and a singular entropy increment deltaEj relative to an upper layer is calculated; if it is judged that the deltaEj is larger than a certain value epsilon, the approximate component Pj is assigned to a one-dimensional matrix X, and the step S2 is repeated, an optimal decomposition layer number r and detailed components Q1, Q2, ..., and Qr which are obtained after the decomposition of the first r layers are outputted; S4, dynamic threshold noise reduction processing is performed on a series of matrices Qi (i=1, 2, ..., and r) which are obtained after the r layers are decomposed, so that matrices which are represented by a symbol in the descriptions of the invention are obtained; and S5, transformation is performed on traveling wave signals X', and head wave and reflected wave time points are determined according to a singular point position in a traveling wave signal approximate component Qr which is obtained according to the decomposition of an r-th layer; and S6, a fault location interval is determined according to the head wave time of each monitor, and therefore, a fault point can be accurately located.

The invention provides a control system for a BUCK converter based on control target correction and an optimization method. The deviation between a voltage sample value output by the BUCK converter and a voltage set value is adjusted by a PI regulator to obtain corrected deviation; the voltage set value is corrected according to the corrected deviation to obtain a corrected converter voltage set value; the corrected voltage set value is substituted into a converter optimization control objective function based on a simplified model to obtain a corrected converter optimization control value; and the corrected optimization control value is applied to the BUCK converter to perform optimization. According to the method, optimization design based on the model is combined with traditional design, so that the optimization problem solving calculation amount is small, and online calculation of a control decision can be achieved; and compensation of a control error is achieved by dynamically correcting a control target according to the control strategy, and the applicability of the control strategy under various operation conditions of the converter is improved.