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451results about How to "Reduce lag" patented technology

System resource dynamic capacity expanding and shrinking method and device, computer device and storage medium

The invention discloses a system resource dynamic capacity expanding and shrinking method and device, a computer device and a storage medium which are applied to the technical field of system configuration, and are used for solving the problems that the timeliness of existing system resource scheduling is low and the system stability is reduced. The method provided by the invention comprises the following steps of capturing a system log of a target system in real time, and obtaining current service data of the target system from the system log; obtaining allocated system resources allocated tothe target system by the system resource pool; analyzing the current service data according to a preset service index rule to obtain a current service operation index of the target system; calculating a resource use condition index of the target system according to the service operation index and the distributed system resource; if the resource use condition index is smaller than a preset index lower limit value, performing capacity reduction processing on the target system; and if the resource use condition index is greater than the preset index upper limit value, carrying out capacity expansion processing on the target system, wherein the index upper limit value is greater than the index lower limit value.
Owner:PING AN TECH (SHENZHEN) CO LTD

Electric vehicle cooling system and control algorithm thereof

The invention provides an electric vehicle cooling system which comprises three circulating loops: a small circulating loop, a large circulating loop and a warm air loop, wherein the three loops have a shared cooling pipeline, and the shared cooling pipeline is provided with a heat radiator and an electric pump; the small circulating loop is that a cooling liquid sequentially passes through the electric pump, a motor controller and a motor through a cooling pipe, and does not pass through the heat radiator; the large circulating loop is that a cooling liquid sequentially passes through the electric pump, the heat radiator, the motor controller and the motor through a cooling pipe; the warm air loop is that a cooling liquid passes through the electric pump, a warm air heat exchanger, the motor controller and the motor through a cooling pipe; the cooling system also comprises an expansion box; the heat radiator and a pressure-limiting valve of a warm air loop heat exchanger are connected with an upper water port of the expansion box; the lower water port of the expansion box and a main cooling pipe are connected in parallel to a water inlet of the electric pump; temperature sensors are installed at the inlet part of the motor controller, the cooling liquid outlet part of the electric pump and the outlet part of the heat radiator; sensor signals above are all connected to a cooling system control unit; and the cooling system control unit controls the operation of the system according to the information obtained from a vehicle-mounted bus as well as sensor information. The invention also provides a control method for the electric vehicle cooling system, and the normal operation of the power part of the electric vehicle is ensured.
Owner:北京众辰世通商贸有限公司

Sewage treatment equipment fault diagnosis system and method based on Lasso regression

The invention belongs to the field of equipment fault diagnosis, and particularly relates to a sewage treatment equipment fault diagnosis system and method based on Lasso regression. The fault diagnosis system comprises a sewage treatment subsystem, a plurality of supervision clients and a plurality of data acquisition devices; the sewage treatment subsystem comprises a central console, a communication server, a total data storage server and a data acquisition server; the central console comprises a control module, a data interface module, a data classification module, a machine learning module and a data communication module; and by acquiring data on the data acquisition devices, the machine learning model carries out learning training on the data so as to construct a plurality of sub regression prediction models for predicting fault types of various types of sewage treatment equipment. The sewage treatment equipment fault diagnosis system and method disclosed by the invention providea certain basic diagnosis help for engineering supervision and treatment decisions of sewage treatment, and effectively meet requirements for real-time monitoring and diagnosis on the sewage treatment environment fault problem in the sewage treatment process.
Owner:CHONGQING UNIV OF POSTS & TELECOMM

Transverse extension preview switching control method for autonomous vehicle

The invention discloses a transverse extension preview switching control method for an autonomous vehicle. The transverse extension preview switching control method employs upper and lower layer controllers. In the upper layer controller, a front road curvature value and a transverse position deviation of the vehicle and a road center line are selected as eigenvalues of an extension set, the extension set is divided, a correlation function is solved, and vehicle-road system states are divided into a classic domain, an extension domain and a non-domain. In the lower layer controller, the classical domain adopts a PD feedback controller based on the transverse position deviation and a course deviation, the extension domain adopts a PD feedforward-feedback controller based on the front road curvature value, and a vehicle-road system in the non-domain is in an out of control state, emergency braking is adopted, and the switching control of two control strategies in the classic domain and the extension domain is realized according to different states of the vehicle-road system. The transverse extension preview switching control method for autonomous vehicle successfully applies an extension control theory to the field of transverse control of the autonomous vehicles, and satisfies the requirements for transverse control precision of vehicles.
Owner:JIANGSU UNIV

Continuous type pad printing and coding device

ActiveCN106364152APad printing stabilityPad printing precisionRotary pressesPrinting press partsPad printingEngineering
The invention discloses a continuous type pad printing and coding device. The continuous type pad printing and coding device comprises a workbench, a PLC controller and a pad printing machine. The continuous type pad printing and coding device further comprises a laser coding machine, a conveying component and a drying component. The conveying component comprises a motor, a transmission case, a main chain wheel, a chain and an auxiliary chain wheel. The chain is fixedly provided with multiple fixing seats. Locating blocks are connected to the fixing seats. Brackets are connected to the locating blocks, and the brackets are provided with mold grooves. The side wall of the transmission case is provided with a pad printing locating piece and a coding locating piece. Each locating block is provided with a left groove and a right groove. One end of the transmission case is provided with an infrared sensor. A motor shaft of the motor is sleeved with a wheel disk. Three sensing columns are distributed on the wheel disk. The infrared sensor, the pad printing machine and the laser coding machine are electrically connected with the PLC controller. The continuous type pad printing and coding device conducts continuous pad printing and coding operations on printed objects on a large scale and greatly improves the production efficiency; and pad printing and coding are clearer, the precision is high, the manufactured products are free from fading after being used for a long time and high in recognition capacity.
Owner:CHENGDU OJA AIRCRAFT CABIN EQUIP

FPGA-based flux gate micro signal detecting system and FPGA-based flux gate micro signal detecting method

The invention provides an FPGA-based flux gate micro signal detecting system and an FPGA-based flux gate micro signal detecting method. The FPGA-based flux gate micro signal detecting system comprises a detecting module, an output module and a processing module which is realized by FPGA, wherein the detecting module converts a flux gate signal to a digital signal and transmits the digital signal to the processing module. The processing module performs processing for obtaining a secondary harmonic signal and transmits the secondary harmonic signal to the output module. According to the FPGA-based flux gate micro signal detecting method, after power amplification is performed on a sine wave with frequency of f0/2, saturation activation is performed on the activation coil of a flux gate sensor for generating a flux gate signal with frequency of f0. After filtering and analog-to-digital conversion are performed on the flux gate signal, cross-correlation detection is performed on the obtained digital signal and two reference signals for obtaining a secondary harmonic signal, the amplitude and the phase of the secondary harmonic signal. Finally digital-to-analog conversion is performed on the secondary harmonic signal, and the obtained analog signal drives the load to operate. According to the FPGA-based flux gate micro signal detecting system and the FPGA-based flux gate micro signal detecting method, related operation is realized by means of the FPGA. The FPGA-based flux gate micro signal detecting system and the FPGA-based flux gate micro signal detecting method have advantages of effective hysteresis reduction in signal transmission, high noise inhibition capability, convenient signal processing, and high measurement accuracy. Furthermore the FPGA-based flux gate micro signal detecting system and the FPGA-based flux gate micro signal detecting method can detect nanovolt-grade weak signals.
Owner:SHANGHAI JIAO TONG UNIV

Moving average and neural network-based virtual machine load prediction method and system

The invention discloses a moving average and neural network-based virtual machine load prediction method and system. The method comprises the steps of S1, collecting divided-period historical load data of a to-be-predicted time period and continuous load data before the to-be-predicted time period; S2, obtaining the divided-period historical load data of the to-be-predicted time period, and after a double moving average method is used for performing predication calculation on load inertia of a virtual machine, performing prediction to obtain a first load inertia prediction value of the next time period; S3, obtaining the continuous load data before the to-be-predicted time period, and in combination with the first load inertia prediction value, performing prediction by adopting an RBF neural network to obtain a second load inertia prediction value; and S4, taking the second load inertia prediction value as a final virtual machine load inertia prediction value and performing outputting. According to the method and the system, the hysteresis of continuous load prediction can be reduced, the timeliness of load prediction can be improved, the prediction accuracy can be improved, and the adaptive flexibility of abnormal conditions is high; and the method and the system can be widely applied to the field of virtual machine load prediction.
Owner:SOUTH CHINA NORMAL UNIVERSITY +1
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