17 results about "Time ratio" patented technology

The invention relates to the technical field of power management, in particular to an intelligent computing resource energy-saving scheduling system based on load prediction, which comprises a cache access monitoring module, a burst load judgment module, a frequency fluctuation analysis module, a load classification and identification module and an intelligent regulation and control strategy module. According to the method, the access frequency fluctuation is analyzed by monitoring the cache access data, the access mode change is identified, the load judgment precision is improved, the burst load identification is enhanced in combination with the hit rate reduction range, the resource scheduling is more accurate, the CPU / GPU operation frequency and the fluctuation rate are monitored, the abnormal fluctuation is identified, the calculation resource allocation is optimized, and the energy consumption waste of frequency adjustment is reduced; load classification, resource matching degree optimization, dynamic adjustment of CPU / GPU computing power and memory allocation, coordination of computing and data transmission, optimization of energy consumption management, guarantee of task stability and reduction of idle and unbalanced resource problems are carried out based on a time proportion and task characteristics.

The invention provides a defective part reprocessing decision-making method based on multi-target balance, which comprises the following steps: acquiring real-time defect rate data and part distribution information from production, analyzing a defect rate change trend and a part quantity fluctuation condition, and setting a standard defect threshold according to an industrial standard and historical data; if the defect rate exceeds a standard defect threshold value, identifying and fitting part performance parameters to obtain an average performance curve, calculating slope change and abrupt change amplitude of the curve, and determining time and influence range of a variation point; acquiring a factory processing load, combining the priority distribution sequence with the target part grouping scheme and the factory processing load to obtain a reprocessing flow configuration scheme, and identifying a balance point of resource consumption and a reprocessing coverage rate through simulation; and acquiring a real-time ratio of the reprocessing coverage rate and the resource consumption corresponding to the balance point, comparing the real-time ratio with a historical optimal ratio, and if the real-time ratio is not smaller than the historical optimal value, determining that a performance bottleneck risk exists, and analyzing a risk cause.

The invention discloses a narrow pulse suppression method and device for dynamic adjustment of dead time, a medium and a controller, and the method comprises the steps: presetting the dead time of M periods in the future according to the real-time state of a motor and the dead time and current change rate of the first N periods, and outputting a working condition label at the same time, N and M being positive integers; determining target dead zone time Td according to the working condition label and the dead zone time of the M periods in the future; determining a dead zone time ratio Dd according to the target dead zone time Td, constructing an interval section of a PWM signal according to the dead zone time ratio Dd and a narrow pulse time ratio Dp, and constructing an upper bridge arm duty ratio function Dt and a lower bridge arm duty ratio function Db corresponding to each interval section according to the dead zone time ratio Dd and a duty ratio instruction Dm of the PWM signal; according to the interval section where the duty ratio instruction Dm of the PWM signal is located, a duty ratio function of the corresponding interval section is called, and a target PWM signal is output.

The invention relates to the technical field of intelligent manufacturing, in particular to an intelligent building system and method based on BIM, and the system comprises a key node sorting module, a continuity index calculation module, a node coupling judgment module, a resource period regulation and control module and a node path rearrangement module. According to the method, through aggregation processing of the total number of construction node stages, the number of follow-up dependency levels and risk exposure values, node key levels are ranked through an analytic hierarchy process model, a construction task priority basis is constructed, a continuity index is formed in combination with task interval duration, a task switching time ratio and an equipment idle period, and state calibration is carried out; a node coupling imbalance relationship is judged through a continuity index difference value and a threshold value, a resource utilization rate is calculated based on a resource calling number, a path load and a neutral position number to judge a compression and release state, a conflict is identified based on a task parallelism degree and an equipment occupation conflict rate, and a task sequence structure is recombined by utilizing a genetic algorithm. And the adaptive capacity of the path to resource configuration is enhanced.

The invention relates to the technical field of availability allocation, in particular to an inherent availability allocation method fully considering system redundancy and fault influence. The method comprises the following steps: selecting similar products, and listing component names, failure rates and redundancy numbers of the similar products and analyzed products; calculating an unavailable time estimated value of each part of the analyzed product by referring to fault influence data of similar products; calculating an unavailable time ratio of each component of the analyzed product based on the unavailable time estimated value of each component of the analyzed product; and by taking the unavailable time ratio of each component as a distribution coefficient, carrying out product availability distribution, and calculating the availability distribution value of each component of the analyzed product. According to the availability allocation method provided by the invention, based on theoretical data calculation, an availability index allocation method which is applicable to whether the next-level structure of a product is single or not and whether redundancy exists or not and can fully consider the fault influence is constructed, so that the accuracy of availability allocation is realized, and the application range is widened.

Control device (4) for a multi-phase converter (20) having converter circuits (20a to 20c) of m (where m is an integer of at least 3) phases, each of which comprises a switching element (36a to 36c) and which are connected in parallel to one another, the control device (4) comprising: a controlled-phase number control unit configured to increase the number of controlled phases of the converter circuits (20a to 20c) by increasing the number of switching elements (36a to 36c) on which on / off control is performed as a current value input to the multi-phase converter (20) increases, and to control the multi-phase converter (20) in n-phase drive where the number of controlled phases is n (where n is an integer less than m and at least 2 and is an integer that is not a divisor of m), or in m-phase drive where the number of controlled phases is m; a storage unit configured to store first and second patterns which are phase patterns in which on-times of the switching elements of m phases are defined; a selection unit configured to select the first or second pattern while the multiphase converter (20) has been stopped; an on / off control unit configured to perform on / off control on the switching elements of the plurality of driven phases based on the phases set in the selected first or second pattern under a condition that a period and a duty ratio are substantially equal; and a prediction unit configured to predict a correlation value that correlates with a time ratio that is, in a predetermined time, a ratio of a time for which the execution of a control in the m-phase drive is predicted to a time for which the execution of a control in the n-phase drive is predicted, wherein an absolute value of a difference between a maximum value of a phase difference between two switching elements set to be sequentially turned on in the n-phase drive based on the second pattern and 360° / n is smaller than an absolute value of a difference between a maximum value of a phase difference between two switching elements set to be sequentially turned on in the n-phase drive based on the first pattern and 360° / n, wherein the selection unit is configured to select the first pattern if the predicted correlation value indicates that the time ratio is at least as large as a first threshold, and to select the second pattern if the predicted correlation value indicates that the time ratio is smaller than a second threshold which is at most as large as the first threshold, wherein the on / off control unit is arranged to stop the on / off control on the switching elements of (mn) phases in the n-phase drive based on the second pattern, wherein the switching elements are classified into a plurality of combinations such that each of the combinations is composed of three switching elements which are determined to be sequentially turned on in the m-phase drive based on the second pattern, wherein, when (mn)=1, the switching element of the (mn) phase at which the on / off control was stopped in the n-phase drive based on the second pattern is the switching element that is switched on between the switching element that is switched on first and the switching element that is switched on last, out of the three switching elements in a combination having a phase difference that is the smallest among the plurality of combinations, the phase difference being a phase difference between the switching element that is switched on first and the switching element that is switched on last, and wherein, when (mn)≥2, the switching elements of (mn) phases at which the on / off control was stopped in the n-phase drive based on the second pattern are switching elements other than a combination of two switching elements set to be sequentially turned on in the m-phase drive based on the second pattern, and each turned on between the switching element that is turned on first and the switching element that is turned on last among the three switching elements in a corresponding one of (mn) combinations among the plurality of combinations, the (mn) combinations being selected in ascending order of the phase difference between the switching element that is turned on first and the switching element that is turned on last.

The invention provides a variable temperature stress detection method based on a transverse wave birefringence sound-to-time ratio. Comprising the following steps: 1, calibrating a sample, and measuring propagation time in a parallel polarization direction and transverse wave propagation time in a vertical polarization direction; 2, calculating a sound-time ratio according to the obtained propagation time, and obtaining a stress calculation formula; 3, measuring transverse wave velocities in the sample at different temperatures to obtain a temperature-wave velocity coefficient, and measuring transverse wave propagation velocities in a parallel polarization direction and a vertical polarization direction in the sample at a calibration temperature to obtain temperature correction coefficients in the two directions; 4, correcting the propagation time of the transverse wave in the parallel polarization direction and the propagation time of the transverse wave in the vertical polarization direction by using the temperature correction coefficient obtained in the step 3; 5, substituting the corrected propagation time and the temperature correction coefficient into the stress calculation formula in the step 2 to obtain a shear wave birefringence temperature correction stress calculation formula based on the sound-time ratio; and 6, measuring the propagation time and the temperature difference of the transverse wave in the sample, and substituting into a correction stress calculation formula to obtain a corresponding stress value.

A communication method, a communication system, and an electronic device are provided. In a communication process, the electronic device may control time ratios of the electronic device for transmitting a signal, intercepting a signal, and sleeping based on a working mode selected by a user, and establish communication connection with another electronic device in a different working mode by planning a working cycle of the electronic device.

The invention provides a fault detection method and device for an incremental encoder. The fault detection method for the incremental encoder comprises the following steps: acquiring a real-time signal value of the incremental encoder; discretizing the real-time signal value based on a preset time period to obtain a plurality of real-time discrete intervals; determining a real-time ratio of each real-time discrete interval according to the preset time period and the real-time discrete intervals; and diagnosing the fault of the incremental encoder according to the real-time ratio and the normal ratio. According to the method, the purpose of quickly discovering the hidden fault of the incremental encoder can be achieved.

The invention relates to a multistage starting system rotating part fault diagnosis method based on envelope attribution characteristics, and the method comprises the steps: firstly estimating the three-phase current of an exciter rotor, calculating the average value of the sum of the absolute values of the three-phase current of the rotor, and obtaining the attribution time ratio of upper and lower envelope lines of the three-phase current of the rotor; the characteristic quantities such as the maximum value, the minimum value, the in-phase maximum difference value and the out-phase maximum difference value of the attribution time ratio are obtained and used for electrical fault diagnosis and positioning of the rotating part of the multistage starting system. The method provided by the invention can diagnose whether the rotating parts (including an exciter rotor winding, a rotating rectifier and a main motor excitation winding) of the multistage starting system have electrical faults on line, judge the fault type (an open-circuit fault or a short-circuit fault) and locate the specific position of a fault point. The method helps to make the multi-stage starting system more reliable and more convenient to maintain.

The invention provides a shield hobbing cutter replacement prediction method and system under complex geological conditions, and relates to the technical field of shield hobbing cutters, and the method comprises the steps: collecting the installation position, the stress parameter, the cutterhead rotation speed and the propulsion speed of a cutterhead hobbing cutter of a shield tunneling machine; dividing the stress parameters into a plurality of stress cycles according to the rotation period of the cutterhead to obtain the peak-valley ratio and the time ratio of each cycle; generating a stress characteristic trajectory curve according to the peak-valley ratio and the time ratio, and determining soil property mutation points according to the change rate of the envelope area of the stress characteristic trajectory curve; the hob soil body cutting volume is determined through the time interval of two continuous stress cycles, a characteristic coefficient curve is constructed according to the projection area of the volume on a cutterhead rotation plane, and the characteristic coefficient curve and the stress characteristic track curve are mapped to obtain stress characteristic coefficients; and taking a section between adjacent soil mass property mutation points as a stable interval, and determining the hobbing cutter changing time according to an internal stress characteristic coefficient accumulated value and a change rate in the stable interval. The technical problem that the prediction accuracy of shield hob abrasion under complex geological conditions is low is solved.

This invention relates to the field of oilfield engineering technology, and particularly to an intelligent operation control method and system for pumping units based on negative power time ratio identification. The control method includes setting the operating parameters of the drive motor, starting the pumping unit at a set high speed; reading the set values ​​or calculating the duration of each stroke, statistically analyzing the duration of zero or negative power values, and calculating the proportion of zero or negative power in the stroke time; continuously collecting the proportion of zero or negative power in each stroke time, and determining whether the change in the proportion of zero or negative power in the stroke time over time is less than a cavitation threshold. If cavitation is determined, a speed control phase begins, with the motor running at low speed; after running for a specified duration, the motor controller increases the motor speed to run at high speed again; this process is repeated. The control method provided by this invention automatically adjusts the pumping unit operating parameters in real time, optimizes the pumping unit's operating conditions, extends the pump inspection cycle, reduces energy consumption, and saves manual labor.

Disclosed are a data writing control method and a storage device. This method includes: obtaining parameter information and execution information of a data merging process, wherein the data merging process includes at least one round, the parameter information includes the estimated completion time of the data merging process and the estimated number of executions of rounds, the execution information includes the quantity of valid data transferred and time consumed for each execution of a round; calculating the data transfer rate and the recycle time ratio reflecting the current round according to the parameter information and execution information; calculating the actual delay value reflecting the current round according to the data transfer rate, recycle time ratio and reference delay value; controlling the data writing speed corresponding to the host system according to the actual delay value.

The present invention relates to the technical field of power management, specifically an intelligent computing resource energy-saving scheduling system based on load prediction. The system includes: a cache access monitoring module, a burst load determination module, a frequency fluctuation analysis module, a load classification and identification module, and an intelligent regulation strategy module. In the present invention, by monitoring the cache access data to analyze the fluctuation of access frequencies and identify changes in access patterns, the accuracy of load judgment is improved. Combining with the decrease in hit rate, the identification of burst loads is enhanced, making resource scheduling more accurate. By monitoring the CPU / GPU operating frequency and fluctuation rate, abnormal fluctuations are identified, the allocation of computing resources is optimized, and the energy consumption waste caused by frequency adjustment is reduced. Based on the time ratio and task characteristics, the load is classified, the resource matching degree is optimized, the CPU / GPU computing power and memory allocation are dynamically adjusted, the coordination of computing and data transmission is achieved, the energy consumption management is optimized, the stability of tasks is ensured, and the problems of resource idleness and imbalance are reduced.

This invention belongs to the field of cognitive radio, specifically relating to a spectrum conflict time ratio prediction method based on a GC-2LSTM-NN model. Spatiotemporal data of secondary transmitters are obtained from an asynchronous cognitive radio network. Historical information of the secondary transmitters in the past ξ time slots is extracted from the perception matrix of time slot t and input into the GC-2LSTM-NN model. The GC-2LSTM-NN model includes a graph convolutional layer and a two-layer LSTM. The two-layer LSTM includes N individual LSTMs, a swarm LSTM, and a linear layer. The final output is the predicted conflict time ratio vector for H time slots of time slot t. The GC-2LSTM-NN model is trained using a backpropagation algorithm. The trained GC-2LSTM-NN model is then used to predict the conflict time ratio vector for the H time slots of each time slot. This invention improves the accuracy of conflict time ratio prediction.

The invention discloses an engineering supervision system and method based on green engineering construction, relates to the technical field of engineering project management, and is used for solving the problems that process data cannot be analyzed in real time and key projects needing to be emphatically supervised are difficult to effectively screen out. The risk of each project is comprehensively assessed by acquiring the number of engineering projects, acquiring processing time, calculating a processing time ratio, acquiring the number of participants, recording conference frequency and the like, and the project completion degree is calculated by counting the amount of completed events. And judging whether a multi-project parallel condition exists in combination with the project risk and the completion degree, and if so, entering a project supervision optimization process. And in the optimization process, key supervision engineering projects are screened out in combination with project interaction deadlines and processing time change data, so that the engineering supervision efficiency and management accuracy under the multi-project parallel condition are improved.