35results about How to "Improve computing reliability" patented technology

The invention discloses a power battery temperature prediction model based on a liquid cooling heat dissipation mode and a modeling method. The change relation of equivalent heat dissipation parameters between the battery and the cooling liquid along with the flow and the equivalent heat dissipation parameters between the battery and the air are calibrated through tests and the calibration resultis calibrated, and the change relationship between the battery internal resistance and the entropy thermal coefficient representing the reversible heat of the battery along with the SOC, the temperature and other factors are considered so as to establish a prediction model capable of predicting the temperatures of the battery cells at different positions in the battery pack in different thermal management stages. The model established according to the method can be used for real-time estimation and thermal management control of the temperature of the single battery in the liquid-cooled power battery pack and can expand the application range of the model, reduce the complexity of the model, simplify the input parameters of the model and improve the reliability of model operation on the basis of ensuring the simulation precision.

The invention pertains to the field of data credibility assessment of big data, in particular to a big data credibility measurement method based on a layering model. The method comprises following steps: calculating credibility of data sources and credibility of data on the basis of a conventional data creditability analysis theory by adding weight parameters such as a time factor and a penalty factor and dynamically creating a credible analysis network for layered big data. Compared with a conventional model, the big data credibility measurement method helps overcome the problem of a conventional credible analysis method including inadaptability of credible calculations of big data such that the factor of affecting credibility of big data from a more comprehensive level is analyzed. In the meanwhile, more accurate analyses can be made to credibility measurement of data provided with more data amount provided by data sources such that the credible requirement of big data can be well satisfied.

The invention discloses a transient safety analysis method for a one-dimensional lead-based system. The method mainly comprises the following steps: 1, determining an organization structure of the lead-based system and component parameters of each component forming a rack according to an input file, and setting calculation time and time step length; 2, carrying out system initialization calculation to obtain an initial value at zero time; and 3, calculating the flow field, the temperature field and the pressure length at the current t moment by adopting a Gille algorithm; 4, according to a calculation result in the step 3, performing calculation at the next moment by adopting a Gille algorithm, and stopping calculation until the set total calculation time; 5, if the calculation reaches the specified time, ending the calculation; and 6, calculating distribution of oxygen concentration, iron concentration and oxide layer concentration in the rack by adopting a quasi-steady-state method according to calculation results obtained in the steps 1-5. According to the method, the steady-state thermal hydraulic characteristics of the lead-bismuth fast reactor or the lead-based system and the transient corresponding characteristics under the accident condition can be analyzed, and suggestions and guidance are provided for promoting design and safety characteristic analysis of the lead-bismuth fast reactor.

The invention relates to a method for estimating direct current transmission system grounding electrode address resistance utilizing average values, and belongs to the technical field of electric system distance measurement. According to the method, the long time window average value of the grounding electrode measuring end voltage and the long time window average value of the grounding electrode measuring end two-loop outlet line current are calculated according to the recording data obtained before line faults of a grounding electrode circuit, then, the total equivalent resistance value shown from the measuring end is worked out according to the long time window average value of the grounding electrode measuring end voltage and the long time window average value of the grounding electrode measuring end two-loop outlet line current, and lastly, the resistance value of the grounding electrode address is worked out according to the total equivalent resistance value shown from the measuring end and the resistance value of the grounding electrode circuit. The ground electrode address is estimated based on the existing fault recording data, high-frequency sampling is not needed any more, and the estimation can be carried out in field easily.

The invention relates to a multi-source data fusion collecting device and system. The device comprises an information collecting module used for sampling a mutual inductor set for sensing a to-be-detected target to obtain first sampling data and second sampling data, and sampling a pulse signal of the to-be-detected target to obtain pulse sampling data, an information processing module used for processing the first sampling data and the second sampling data to obtain a first sampling value, first general information, a second sampling value and second general information, and processing the first sampling value, the second sampling value and the pulse sampling data to obtain monitoring information, and an information transmission module used for transmitting one or more of the first general information, the second general information and the monitoring information to a multi-source data fusion protecting device, a stabilization device and an automatic device. According to the device and the system provided by the invention, the precision and the calculation reliability of the sampling data are high; and the management and control obstruction is reduced, so that stable and reliableoperation of an intelligent substation is facilitated.

The invention discloses a transformer winding hot spot temperature prediction and evaluation system with an self-adaptive function, which mainly includes seven parts such as a transformer top layer oil temperature monitoring system, a substation environment temperature monitoring system, and transformer load current monitoring equipment. The system can monitor the temperature change trend after the load of the transformer is increased, and accurately know the coil temperature of the transformer in real time and predict its temperature change trend. By making full use of the transformer equipment, the temperature effect after the load increase can be measured without damaging the transformer. In the case of equipment insulation performance, it provides an evaluation method for the feasibility of overload operation of the power grid system during peak hours.

The invention relates to a method for estimating the SOC of a square root extended Kalman, which is characterized in that the Kalman filter can be applied to the SOC of a lithium-ion battery pack with an obvious nonlinear relationship by obtaining the Jacobian matrix on the basis of the Kalman filter algorithm. Estimation, realizes the effective iterative calculation of the SOC value of the lithium-ion battery pack, overcomes the cumulative error of the SOC initial value error and the ampere-hour integral; for the filter divergence that may be caused by the rounding error due to the limited word length of the computer, the extended Cal The Mann filter method decomposes the state quantity covariance matrix by square root to ensure that it has symmetric non-negative definiteness at any time, and prevents the filter divergence that may be caused by the limited word length of the computer; this method fully considers the working basis of lithium-ion batteries in groups. On the basis of the equivalent model circuit, the iterative calculation process based on Kalman is improved, and the square root transformation of the matrix is ​​specifically applied to prevent possible filter dispersion, and the establishment of the SOC estimation model of the lithium-ion battery pack and the mathematical iterative operation algorithm of the SOC value are realized. reliable operation.

A welding joint for a fuel tank includes a cylindrical portion and an annular weld portion. The weld portion has a multi-layer structure formed by layering an inner layer member made of a resin alloy material obtained by alloying a modified HDPE, to which a functional group having a high affinity to a hydroxyl group of EVOH is introduced, and EVOH, or by alloying the modified HDPE, normal HDPE and EVOH, and an outer layer member which uses the HDPE resin and / or modified HDPE resin and has high weldability to the fuel tank. Each of the inner and outer layer members is heat-welded to the fuel tank at a corresponding welding end surface. In a vicinity of at least one of the welding end surfaces of the inner outer layer members, a flow preventing portion that prevent a molten part of the inner layer member from flowing the outer layer member is provided.

The invention discloses a diffuse reflection light source system and a design method for visual detection, which can obtain the shape of a diffuse reflection curved surface according to the size of a target illumination area, and effectively improve the illumination uniformity of the target area. On the basis of the rectangular array light source, the illuminance distribution of the reflective surface is solved, the light intensity distribution of the reflective surface is obtained according to the principle of energy conservation, the illuminance distribution formula of the target surface is obtained, and the coordinates of a series of discrete points on the reflective surface are obtained to obtain the reflective surface. The invention has sufficient theoretical basis, simple and practical mathematical modeling, and high calculation reliability. The light source system built according to the optimal structural parameters has the characteristics of uniform illumination, high energy utilization rate, and no blocking of the lens. It can effectively Improving the imaging quality of the target object in visual inspection has important practical significance for improving the detection accuracy.

The present invention is applicable to the technical field of fog computing, and provides a Markov Chain-based fault-tolerant strategy selection method in a fog environment. The method specifically includes the following steps: S1. For a fog system with N fog nodes, predict that there are i in the fog system. The steady-state probability π of a fog node failure i , i takes values ​​0, 1, 2,...N in turn; S2, detect π i Whether it is greater than the preset value, if the detection result is yes, the fault-tolerant strategy with the lowest comprehensive cost is output. The comprehensive cost is evaluated based on the price and time of the fault-tolerant strategy. Based on the steady-state probability of the fog system, a low-cost fault-tolerant strategy is selected, taking into account the time and cost of the fault-tolerant strategy, and improving the reliability of fog computing.

The invention discloses a fault rate evaluation method of an MMC (Modular Multilevel Converter). The fault rate evaluation method comprises the following steps: (1) acquiring a sub-module and a sub-module assembly of an MMC circuit; (2) inputting working parameters of the MMC circuit and the sub-module assembly thereof, and finishing setting of initial conditions; (3) calculating a fault rate of the sub-module assembly according to a fault model to obtain the fault rate of the sub-module; (4) establishing a Markov model of the MMC circuit and establishing a state transfer equation based on the Markov model; (5) solving the state transfer equation to obtain a variation function of the fault rate of the MMC circuit along with time and module quantity, a variation function of the reliability along with the time and the module quantity and average failure time. The calculation reliability of the fault rate of the sub-module assembly is greatly improved and the estimation reliability of the fault rate of the MMC circuit is improved; by applying the Markov model, the solved fault rate and average service life of the MMC circuit are relatively accurate and are varied along with time variation; the fault rate evaluation method has a dynamic property and high fault evaluation precision.

The invention discloses a method for accurately evaluating airborne radioactive source items in severe accidents of underground nuclear power plants, which comprises the steps of: 1) calculating core burnup for a specific underground nuclear power plant reactor; 2) determining radioactive activity according to an underground nuclear power plant burnup database Maximum burnup point; 3) Calculate the type and activity of radioactive substances released from the fuel into the pressure vessel; 4) Calculate the activity of radioactive substances released from the pressure vessel to the reactor building; The change of radioactive material activity over time; 6) Evaluate underground nuclear power plant cavern engineering measures and natural barriers, and calculate the activity of radioactive material entering the atmosphere; 7) Calculate the activity of radioactive material finally released into the environment. Combining the characteristics of underground nuclear power plants, the invention realizes the quantitative evaluation of the diffusion behavior of airborne radioactive source items when severe accidents occur in underground nuclear power plants through efficient and precise fuel consumption calculation theory and natural surrounding rock shielding calculation model.

The invention relates to a seaborne boundary condition simulation method for an FLNG device liquidation process. The method is characterized by comprising the following steps of: (1) establishing a three-dimensional control volume unit, working mediums of which flow in an FLNG liquidation process system, under a sea condition, and carrying out analysis to obtain a momentum equation of working medium flow directions; (2) obtaining a three-dimensional motion equation of a hull or a platform on the basis of sea condition basic data of an actual operation sea area; (3) carrying out calculation to obtain a translational motion equation and an angular motion equation of working medium gravity centers; (4) establishing a one-dimensional fluid flow equation for representing flow, in the FLNG liquidation process system, of the working mediums under the actual sea condition; and (5) calculating sea condition boundary condition parameters according to the one-dimensional fluid flow equation, and loading the sea condition boundary condition parameters into a FLNG device liquidation process dynamic model so as to realize application of actual sea condition environment to FLNG device liquidation process. The method can be widely used for improving the simulation facticity and emergency working condition prediction correctness of the FLNG device liquidation process.