45 results about "Rate control" patented technology

This invention discloses a control method and monitoring system based on a planned curve. The method includes: the monitoring system periodically issuing control commands to the controlled system based on the planned curve; the monitoring system receiving and collecting feedback from the controlled system in real time of the control rate, control target value, and actual electrical quantity values; the monitoring system monitoring in real time whether the planned curve is updated and whether the automatic control mode is engaged; in response to the planned curve update or the engagement of the automatic control mode, calculating the remaining adjustment time window and determining whether it is permissible to issue a temporary control command; in response to the permission to issue a temporary control command, determining whether there is an expected adjustment deviation; and in response to the existence of the expected adjustment deviation, determining the temporary control command and issuing it to the controlled system. This invention achieves immediate response of the control system after the planned curve is updated, automatic following after the planned curve is engaged, and post-adjustment of deviations in the control process, thereby improving the real-time performance and reliability of the planned curve control system's adjustment response.

The invention relates to the technical field of speed control, in particular to a feed rate control method and system in numerical control machining based on data analysis, and the method comprises the steps: obtaining a vibration signal and a current signal in a machining process; calculating the cutting impact strength at each moment, wherein the cutting impact strength is positively correlated with the kurtosis of the amplitude of the vibration signal in the window corresponding to the moment and the logarithm of the absolute mean value of the current signal; and the instability index of each moment is calculated. According to the method, the penalty factor and the kernel function parameter can be adjusted in real time according to the instability of the machining process, high fitting precision is kept when the signal is stable, overfitting is prevented by reducing the penalty factor in the stage of severe abrasion and large noise, and therefore accurate prediction of the surface roughness is achieved, closed-loop correction is conducted on the feeding rate, and the precision of the surface roughness is improved. And the processing efficiency and the surface quality are effectively balanced.

The utility model discloses a rate adjusting device used in the slurry pumping process, and relates to the technical field of rate adjusting devices, the rate adjusting device used in the slurry pumping process comprises a slurry pump device, and the upper end of the slurry pump device is provided with a throttling device; a speed adjusting device is mounted at the upper end of the throttling device; according to the utility model, when the speed is adjusted, the arc-shaped baffle plate and the slurry outlet pipe are controlled to slide through the telescopic air cylinder, so that the overflowing area of the slurry outlet pipe can be accurately adjusted, and the flow speed of slurry can be flexibly changed to adapt to different working requirements; and a valve clack in the throttling device is matched with the speed adjusting device for use, so that the flow and the flow speed of the slurry are doubly controlled, and the speed control precision and reliability of the whole device in the slurry pumping process are improved.

The application relates to the technical field of crushers, and provides a feeding speed control method for a crushing system and the crushing system, wherein the crushing system comprises a crusher and a feeding device, the feeding speed control method for the crushing system comprises the following steps: acquiring working parameters of a crushing chamber, the working parameters of the crushing chamber comprising a material level height in the crushing chamber and a material level change speed in the crushing chamber; acquiring a feeding state of the feeding device, the feeding state of the feeding device at least comprising a material height on the feeding device; and controlling a feeding speed of the feeding device according to the working parameters of the crushing chamber and the feeding state of the feeding device. In this way, the material level height and the material level change speed in the crushing chamber are direct and intuitive parameters for representing the working condition of the crusher, and the feeding speed can be adjusted in time and effectively in combination with the feeding state of the feeding device, so that the problem that the feeding speed of the feeding device cannot be controlled in time according to the working current of the crusher in the prior art is solved.

The present application relates to a kind of control wide thin gauge 304 stainless steel rolling bias method, belong to reversible cold rolling technical field, solve the problem of roll system bias in the reversible cold rolling process of wide thin gauge 304 stainless steel, the present application proposes the control method of wide thin gauge 304 stainless steel rolling bias problem, this method involves pass and deformation rate control, rolling tension parameter control, and three aspects of shape control, strong system and practicality.After using the control method provided by the present application, the bias incidence rate is reduced from previous 10% to 0.5% or less, significantly improve the stability of stainless steel wide thin gauge cold plate rolling.

Controlling a bit rate for encoding a signal. The signal is encoded using at least two different encoding algorithms. A total bit rate is allocated to at least two components of the signal. A first component of the signal is to be encoded using a first encoding algorithm. A second component of the signal is to be encoded using a second encoding algorithm.

The invention relates to the technical field of bent pipe forming control, in particular to a bent pipe angle and thinning rate control method and system.According to the bent pipe angle and thinning rate control method and system, angle advancing quantity values and curvature change rate values are numbered according to steps to construct a continuous sequence, a time convolution network is introduced to conduct convolution calculation on the change amplitude among multiple adjacent steps, and therefore the angle and thinning rate of a bent pipe is obtained. Angle change and curvature change in the bending process are not judged as isolated parameters any more, conjoint analysis is carried out based on a time sequence incidence relation, a near-end strategy optimization algorithm is introduced to carry out proportion down-regulation on a bending speed value and a curvature change rate value corresponding to the current step, reverse angle offset is synchronously superposed, and the bending speed value and the curvature change rate value corresponding to the current step are calculated. Parameter adjustment is limited in a near-end interval near the current step, large-range disturbance to an overall bending path is avoided, meanwhile, parallel records of original parameters and correction parameters are reserved, and the subsequent angle accumulation and correction process has a clear data basis.

Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: determining, for a conversion between a current frame of a video and a bitstream of the video, rate control information for encoding a current block in the current frame, the rate control information being determined at least based on information of a first set of blocks in the current frame that is encoded before the current block; and performing the conversion based on the rate control information.

Certain aspects of this disclosure provide rate control techniques for semantic communication. One method includes: obtaining an indication of a target from a source application; determining one or more channel conditions of a communication channel; determining, based on the target and the one or more channel conditions of the communication channel, a function of first information to be transmitted on the communication channel and the number of resources in a first resource set for transmission on the communication channel; obtaining second information corresponding to source data from the source application; and transmitting the second information on a second resource set satisfying the function of the communication channel via simulated transmission.

The present application relates to a kind of first steel hit rate control method of hot strip mill equipment, the hot strip mill equipment includes N frame that can be supplied with strip and first steel hit rate control system;Its characterized in that, the first steel hit rate control method of the hot strip mill equipment includes the following steps that the first steel hit rate control system executes: with zero value self-learning module receives the first steel big data module sent historical first steel data, obtains zero value self-learning value ΔL i ;Estimate the deformation resistance deviation average value Δki of each frame rolling force;Estimate the thickness deviation Δhi of each frame;The present application is based on the model of strip threading self-adaption, in combination with multiple algorithms, more accurate calculation rolling force, bending force, the deviation correction coefficient of roll gap, collects and comprehensively considers multiple first steel hit deviation, obtains zero value self-learning coefficient;Can obtain more than the set number of three previous frames, improve the hit rate of first steel.

A control method, a control system, and a non-transient computer-readable storage medium are provided. The control method is applicable to a pumping station comprising one or more pumps. The method may include: comparing an inflow rate of the pumping station with a flow rate for optimal energy consumption of the pumping station; determining, based on whether the inflow rate of the pumping station is greater than or equal to, or less than or equal to, the flow rate for optimal energy consumption of the pumping station, a corresponding constraint that indicates whether a target outflow rate of the pumping station is to be greater than or equal to, or less than or equal to, the flow rate for optimal energy consumption of the pumping station; and setting a target outflow rate that meets the constraint, for constant flow rate control of the pumping station.

The invention relates to the technical field of computers, in particular to a rate control method and device for a Docker container virtual network. The method comprises the following steps: acquiring event data corresponding to a Docker internal event, and extracting network event characteristics in the event data; judging whether the Docker internal event is a virtual network creation event or a virtual network abnormal event based on the network event characteristics; if the Docker internal event is a virtual network creation event or a virtual network abnormal event, obtaining a network flow control parameter corresponding to the virtual network creation event or the virtual network abnormal event; and performing traffic control on the Docker internal event in a preset mode according to the network traffic control parameter. According to the invention, fairness and flow distribution of the container in the same network environment can be ensured, and an individual task container is prevented from occupying excessive bandwidth resources.

The application discloses a two pass fixed QP code rate control method, comprising the following steps: setting a target total bit number TB, starting a first encoding of the two pass, obtaining a code stream, after the encoding is finished, counting a total frame number N of the video, a frame type of each frame, a QP of each frame, a texture bit number of each frame, a motion vector bit number of each frame, marking the frame type of each frame as FT(1), FT(2),..., FT(N) respectively, marking the QP of each frame as qp(1), qp(2),..., qp(N) respectively, marking the texture bit number of each frame as tex_bits(1), tex_bits(2),..., tex_bits(N) respectively, and marking the motion vector bit number of each frame as mv_bits(1), mv_bits(2),..., mv_bits(N) respectively; starting a second encoding of the two pass, calculating actual QP values of each frame according to the target total bit number TB and the information collected in the first encoding, and encoding each frame to obtain a final code stream.

A system includes a device coupled to a processing device. The processing device is to receive a timing signal associated with a synchronized time. The processing device is further to synchronize a rate limiter of the device to the synchronized time responsive to receiving the timing signal, wherein the rate limiter is configured to schedule one or more workloads at a respective rate. The processing device is to receive a request to execute the one or more workloads, the request comprising a rate to execute each workload of the one or more workloads. The processing device is to execute the one or more workloads at the respective rate upon synchronizing the rate limiter.

A signal is received from a sensor or other controller of the vehicle. A bucket state is incremented responsive to the signal exceeding a signal threshold. An event is generated responsive to the bucket state exceeding a bucket threshold value. The event is sent, in an event message, to a cloud server.

A system according to an embodiment includes a fluid circulation apparatus 20 including a pump 22 and allowing a fluid to circulate by rotation of the pump, and a control device 30 controlling the fluid circulation apparatus 20. When the target flow rate for the fluid is changed, the control device 30 derives the changed rotation speed on the basis of the target flow rate and the flow rate of the fluid and the rotation speed of the pump 22 at the time of changing the target flow rate or the flow rate of the fluid and the rotation speed of the pump 22 in the predetermined period before changing the target flow rate, and changes the rotation speed of the pump 22 toward the changed rotation speed.

The invention discloses a combined harvester header feed quantity control method and a related device, and relates to the technical field of agricultural machinery control, and the method comprises the steps: calculating the separation loss of a threshing system based on the longitudinal inclination angle of a machine body, the rotating speed of a rotor, the gap between the rotor and a concave plate, the feed quantity, the grain proportion and the grain moisture content; the feeding impurity flow of the cleaning system is calculated based on the rotor rotating speed, the gap between the rotor and the concave plate, the feeding amount, the grain proportion and the impurity water content, and the cleaning loss of the cleaning system is calculated based on the longitudinal gradient, the grain water content, the fan rotating speed, the screen opening degree, the feeding grain flow and the feeding impurity flow. And based on the feeding amount, the separation loss and the cleaning loss, the advancing speed of the combine harvester is controlled, and header feeding amount control is completed. According to the invention, interference can be dynamically compensated, collaborative optimization is realized, control precision and control robustness are improved, and harvesting efficiency and grain loss are both considered.

Methods and systems for rate control include determining (322) an encoding parameter value for use with an input set of video frames based on a current channel capacity using a machine learning model that accepts the input set of video frames and the current channel capacity as inputs. The input set of video frames is encoded using the encoding parameter (324) to produce encoded video that has a bitrate below the current channel capacity. The encoded video is transmitted (326).

The application provides a rate control method and device, the method comprising: obtaining a first actual fill level of a coding buffer at a current time; determining a quantization step by performing exponential mapping on the first actual fill level; the base of an exponential function in a target relationship formula of the exponential mapping is a number greater than 1; and determining a quantization parameter of a current coding unit based on the quantization step. Based on this, when the coding difficulty of an image to be coded increases, the fill level of the coding buffer is fluctuated to relieve the state of the buffer.

This application provides a rate control method, a communication device, a storage medium, and a program product. The method includes: determining first configuration information, which is used to configure rate control for a first QoS flow; a first DRB mapping one or more QoS flows, wherein the first QoS flow is one of the one or more QoS flows, and other QoS flows besides the first QoS flow are not configured with rate control; and sending the first configuration information to a terminal device. For a DRB, only one QoS flow mapped by the DRB is allowed to be configured with rate control. This facilitates the terminal device in determining the QoS flow targeted by the recommended rate (i.e., the configured QoS flow) when the access network device indicates the DRB and a recommended rate, thereby enabling the terminal device to adjust the rate of the QoS flow based on the recommended rate.

The invention discloses an intelligent suspension control target adjustable compound control method, which belongs to the technical field of suspension control, and comprises the following steps: S1, constructing a sprung control system and an unsprung control system; s2, expected control rates are determined for the sprung control system and the unsprung control system respectively, and a composite control rate is generated; s3, three-axis acceleration and angular velocity signals are collected from a chassis domain IMU, and sprung acceleration is calculated; and S4, according to the sprung acceleration, determining a sprung control system state and an unsprung control system state based on composite control rate control.

Described herein is a communication node, configured to process a communication between a sender application and a receiver application, the communication node comprising: at least one processor, and at least one memory storing instructions that, when executed by the at least one processor, cause the communication node at least to: mark one or more of a plurality of packets received from the sender application, wherein the remaining unmarked packets have an arriving data rate at the communication node that is not greater than a target serving data rate of the communication node processing arrived packets; and send, to the receiver application, the plurality of packets and a corresponding marking indication, wherein the marking indication is intended to inform the sender application of the marked one or more packets, wherein the communication node is further configured to adapt at least one marking-related parameter for marking the one or more packets by: measuring a current value of at least one adaptation parameter associated with at least one packet received and / or at least one packet marked in a current time interval; determining a derived smoothed value of the at least one adaptation parameter for a next time interval based on a combination of the measured current value of the at least one adaptation parameter in the current time interval and a previous value of the at least one adaptation parameter derived and smoothed in a previous time interval for the current time interval; and adapting a value of the at least one marking-related parameter in the next time interval based on the derived smoothed value of the at least one adaptation parameter for the next time interval.

The present application relates to the technical field of wireless communications, and discloses a rate control method, a terminal, and a network side device. The rate control method of embodiments of the present application comprises: a first node sends first information to a second node, wherein the first information comprises at least one of the following: congestion information, rate control information, and rate adjustment information.

This invention relates to the field of machining technology and discloses a feed rate control method based on the properties of difficult-to-machine materials and cutting force fluctuations. The invention aims to solve the problem that existing technologies lack sensitivity in identifying cutting state fluctuations, making it difficult to balance machining efficiency and process safety. This invention achieves this by: matching initial parameters based on material hardness and thermal conductivity; quantifying cutting force fluctuation characteristics using time slices and variance statistics; judging deterioration trends based on slope increase differences and adaptively adjusting motor speed; constructing a two-dimensional speed-up cutoff boundary by combining speed reduction coefficients and load-bearing limits; and detecting tool wear and dynamically reconstructing the operating boundary through periodic active speed reduction. This invention realizes quantitative identification of cutting conditions, enabling the feed rate to match the actual load-bearing capacity and performance degradation of the tool in real time, thus ensuring the stability of the machining process.

Various aspects of the present disclosure relate to a process for block stripe management using rate control. A processing device may determine, at a time value associated with a timer of the memory device, to perform immediate folding for a block stripe of a plurality of block stripes. The processing device may identify a deadline value, a priority value, and a resource value corresponding to the immediate folding criteria. The processing device may add the block stripe to an immediate folding queue based on a combination of the deadline value and the time value. The processing device may determine, based on the priority value and the resource value, a rate control value for performing immediate folding. The processing device may perform the immediate folding using the rate control value.

The invention discloses a unit variable rate control method and system based on main air pressure prediction. The method comprises the steps that the current load of a unit, the rated power of the unit, equipment operation safety parameters and coal quality characteristic parameters are obtained; determining a load section based on the current load of the unit and the rated power of the unit, and dividing a differentiation interval based on the load section and the AGC operation mode; constructing a broken line function algorithm model, taking a deep adjustment mode identifier as input, setting first reference variable load rates of different differentiation intervals, inputting the coal quality characteristic parameters to obtain a second reference variable load rate, obtaining a first deviation value according to a preset multi-dimensional safety threshold value, and obtaining a second deviation value according to a preset multi-dimensional safety threshold value; the first deviation value is the deviation between a main steam pressure actual value and a main steam pressure set value, and the first deviation value is used as a constraint condition, so that the technical problem that the conventional AGC control cannot adapt to different working conditions of different load sections and an AGC mode due to the adoption of a fixed variable load rate, and the adjustment rate is difficult to effectively improve is solved.

Implementation of the subject matter described herein provides a solution for rate control based on reinforcement learning. In this solution, an encoding state of a video encoder is determined, the encoding state being associated with encoding of a first video unit by the video encoder. Encoding parameters associated with rate control in a video encoder are determined by reinforcing a learning model and based on an encoding state of the video encoder. A second video unit different from the first video unit is encoded based on the encoding parameter. In this way, a better real-time communication quality of experience (QOE) can be achieved with reduced computational overhead.

The application provides a rate control method, device, equipment and storage medium, the method comprises the steps of obtaining N candidate rates and environmental characteristic vectors at the current time; for each candidate rate, determining the corresponding environmental characteristic library and the packet sending success rate of the candidate rate, wherein the environmental characteristic library is obtained based on the environmental characteristic vector corresponding to each time of sending a data packet using the candidate rate; for each candidate rate, determining the estimated packet sending success rate corresponding to the candidate rate based on the environmental characteristic library corresponding to the candidate rate, the environmental characteristic vector at the current time, and the packet sending success rate; determining the target rate at the current time based on the N candidate rates and the estimated packet sending success rate corresponding to each candidate rate, and sending a data packet based on the target rate, wherein the environmental characteristic vector is obtained based on M environmental parameters. In this way, in the rate control process, the selected packet sending rate can maximize the throughput of the wireless local area network.

The application discloses a code rate control method for improving video quality, comprising the following steps: S1, initializing prediction coefficients of I frames, P frames and B frames, and starting encoding; S2, starting frame layer code rate control of the i-th frame; S3, calculating a QP value for preventing overflow and underflow of the current frame according to a bandwidth, and marking the QP value as qp0; S4, calculating a target bit number Target_bits and a maximum bit number Max_bits of the current frame according to a frame type of the current frame, the qp0, a SATD value and the prediction coefficients; S5, updating the prediction coefficients of the current frame by using a linear regression method; S6, starting CU layer code rate control; S7, calculating a final QP value of the j-th CU, and encoding the CU by using the final QP value; S8, judging whether all CUs of all frames of the current video have been encoded, if yes, ending the encoding and obtaining an encoded code stream, if not, judging whether all CUs of the current frame have been encoded, if yes, adding 1 to i and executing S2, if not, adding 1 to j and executing S7.