98 results about "Time processing" patented technology

A pioneering parallel diffusion technique individually represents and diffuses each bit or groups of bits. The approach addresses inefficiencies observed in traditional diffusion processes. The approach may reduce the number of iterations required for denoising, thereby decreasing denoising latency and improving overall processing speed. These advantages are especially crucial in the realm of codec applications where real-time processing and resource efficiency are paramount.

The invention relates to the technical field of injection molding monitoring, and discloses a double-color highlight molding injection mold data real-time processing method and system, and the method comprises the following steps: 1, collecting mold sensing data of two paths of melts, and forming a double-channel time sequence data sequence; step 2, calculating the time delay of the dual-channel time sequence data sequence and performing compensation; 3, extracting a pressure difference feature, a temperature difference feature and a flow difference feature, and fusing to obtain a coupling index; step 4, outputting predicted surface glossiness according to the pre-trained lightweight neural network model; step 5, generating a feedback control quantity and a feed-forward compensation quantity according to the deviation between the predicted surface glossiness and the preset target glossiness, and fusing the feedback control quantity and the feed-forward compensation quantity to obtain a parameter control quantity; and step 6, comparing the coupling index with a preset coupling threshold value, calculating the yield of finished products, and further performing early warning. According to the invention, real-time intelligent closed-loop control of the double-color highlight injection molded part from data acquisition to quality early warning is realized.

The invention discloses a power equipment anomaly detection method and device, equipment and a storage medium. According to the dynamic graph division method based on computational load awareness, partition layout of load balance is achieved, the problem of load imbalance between processing nodes is remarkably reduced, hotspot bottlenecks caused by high-frequency equipment concentration are avoided, the overall throughput and parallel processing capacity of a system are improved, and the performance requirement for real-time processing of high-frequency data is met. And a constructed partition-unit-device multi-level anomaly detection mechanism triggers the detection task of each level as required, so that the system resource overhead is effectively reduced, and the overall detection efficiency is improved. By analyzing the abnormal propagation path in the electrical topology and combining the spatial position information of the equipment, the abnormal region boundary expression is generated, so that the conversion from point-level identification to chain-level analysis and region-level visualization is realized, the operation and maintenance personnel can quickly position and respond, and the interpretability of the abnormal result and the practical value of scheduling are improved.

The invention discloses an intelligent data compression method for a twin system. The method comprises the following steps: collecting video, audio and text data for preprocessing; constructing a Bootstrap model, and performing feature extraction and preliminary compression on the input data; the method comprises the steps that a Combined model composed of a Bootstrap model and a Support model is constructed, and probability distribution output by the Bootstrap model is combined with probability distribution output by the Support model; finally compressing the output probability distribution by using an arithmetic coding method so as to reduce the volume of data transmission, and transmitting the data to target equipment; the target device decodes and reconstructs the received data and restores the original data before compression; according to the method, the data compression ratio and the compression time efficiency are improved, so that the time delay of data transmission is effectively reduced, the method is suitable for various data types in a twin system, and real-time processing of the data is ensured.

The invention provides an optical module and a link optimization method and system. The method comprises the following steps that: the microcontroller issues a gain value, so that the continuous time linear equalizer performs equalization processing on an input voltage signal; the time processing module is used for sampling a voltage signal output by the continuous time linear equalizer to obtain sampling data; and the microcontroller determines the gain configuration of the continuous time linear equalizer based on the sampling data under different gain values. Compared with the prior art, the power consumption and the time delay of the module are equal to those of a traditional LPO, and meanwhile, the self-adaptive capability which is only achieved by a DSP scheme in the past is obtained. The application scene and deployment flexibility of the LPO technology are expanded; and meanwhile, the link performance can be always maintained near the optimal point, so that the risk that the performance is continuously deteriorated until error codes occur is fundamentally avoided, and intelligent maintenance of the link state is realized.

The invention provides a playback method of a database load file, a medium, a product and equipment. The method comprises the following steps: in response to a playback instruction, obtaining a to-be-played-back load file; determining the original execution time of each to-be-played-back instruction and the original thinking time after the to-be-played-back instruction is executed according to the to-be-played-back load file, wherein the original thinking time is the interval time from the end of execution of the previous database instruction to the start of execution of the next database instruction; determining a target playback mode through the playback instruction; and in the playback process of the to-be-played-back load file, adjusting the original thinking time based on the target playback mode to obtain corrected thinking time, and performing playback according to the corrected thinking time. Through the method, a flexible time processing mechanism is realized, so that balance between execution time consumption and thinking time is optimized through a selectable playback strategy, and it is ensured that an original load can be played back efficiently, truly and controllably in different performance scenes.

The invention belongs to the technical field of digital twinning, and particularly discloses a virtual-real cooperative control method for a coarse and fine grinding all-in-one machine based on digital twinning, which comprises the following steps: S1, collecting real-time processing parameters of a coarse grinding unit and a fine grinding unit, and constructing a grinding digital twinning body synchronous with an actual processing process; s2, constructing a long-short-term memory network model, and predicting the state evolution trend of each unit in the future processing process; s3, optimizing the technological parameters of the whole process from coarse grinding to fine grinding in the grinding process of the digital twin; s4, searching an optimal process parameter combination in the grinding digital twin environment by adopting a snake swarm optimization algorithm; s5, the actual coarse grinding and accurate grinding process is driven to be executed; and S6, if machining abnormity or deviation is detected, re-optimization and correction control is automatically triggered. According to the method, a snake swarm optimization algorithm, a long-short-term memory network model and an industrial field bus control technology are combined, and virtual-real cooperative grinding control of the full-automatic coarse and fine grinding all-in-one machine based on digital twinning is achieved.

The invention relates to the technical field of data processing, in particular to a small phased array radar data real-time processing system which comprises a jump positioning module, a frame sequence reconstruction module, a window mapping module, a branch binding module and a path synchronization module. In the invention, in the processing of a received frame sampling point sequence, a starting frame site is extracted through a hopping identification threshold value, accurate calibration of a channel and a time intersection point is realized, time base alignment and sequence adjustment are carried out on an out-of-order frame sequence in combination with an index, and a frame recording structure with traceability is constructed; the hopping frequency distribution characteristics of a sliding area are judged through a mapping mechanism, the dynamic response capability to a locking window is enhanced, a resolution threshold limit is introduced to effectively recognize a multi-target state and complete task branch binding, and path synchronization offset is recognized based on real-time sampling difference between locking frames. The timeliness of monitoring of the concurrent path state and tolerance judgment is improved, and stable synchronization of target information extraction and a dynamic path in a data processing link is effectively guaranteed.

The invention discloses a micro-seismic data real-time processing method and system, and relates to the field of micro-seismic monitoring, and the method comprises the steps: collecting a micro-seismic data real-time waveform flow; performing effective trigger judgment on the real-time waveform flow through an STA / LTA trigger algorithm, judging an effective suspected event and a corresponding time interval, performing zeroing processing on sensor data in the effective suspected event, importing the sensor data into a deep neural network, outputting data of each sensor in the effective suspected event, and outputting the data of each sensor in the effective suspected event; invalid arrival time output outside the sensor seismic phase time window in the valid suspected events is deleted as sensor data corresponding to the micro-seismic event, and the sensor data arrival time is output to a positioning system in an associated mode; and through a Geiger positioning algorithm, global positioning of a micro-seismic event is obtained, seismic source parameters are calculated, and early warning is carried out. Through cooperation of the STA / LTA trigger algorithm and the number of the sensors, calculation cost is reduced through rapid judgment, interference data is eliminated through the seismic phase time window, calculation efficiency is improved, and real-time monitoring and early warning of geological disasters are achieved.

The invention discloses a time synchronization method, device and equipment and a storage medium, relates to the technical field of time synchronization, is applied to a first target system configured with an application processing unit and a first clock source, and comprises the following steps: acquiring a clock selection message sent by a second target system by using a preset clock information sending program; a real-time processing unit and a second clock source are configured in the second target system, and the clock selection message is generated by the second target system based on clock information of the second clock source; determining master clocks of the first target system and the second target system based on the clock information of the first clock source and the clock information of the second clock source in the clock selection message; and performing time synchronization between the main clock and the second target system by using the main clock and based on a locally preset time synchronization compensation value. By removing the dynamic field in the clock selection message of the real-time processing unit, the clock selection message is simplified, so that cross-domain time synchronization can be realized between the real-time processing unit and the application processing unit.

The invention discloses a complex flexible automatic material carrying system which is composed of a dispatching subsystem, a carrying subsystem, a transfer subsystem, a truss connection subsystem and a positioning and clamping subsystem. A dispatching subsystem in the complex flexible automatic material carrying system serves as a brain, stable data communication is established with all subsystems and automatic machining equipment, the working state of the equipment is collected, and demand information and machining progress of parts to be machined can be obtained in real time; the carrying subsystem, the transfer subsystem and the truss connection subsystem can be commanded to work cooperatively according to the machining progress, and bidirectional automatic transfer of metal parts in a production preparation area and automatic machining equipment is achieved. The problem that in the machining process, experience and skills of operators are highly relied on is solved, and automatic measurement, automatic compensation and unmanned high-quality and high-efficiency machining in the part machining process are achieved.

A method for carrying a plurality of substrates to be continuously processed from a carrying section to a processing section in a processing system provided with at least one processing section for performing a desired process on a substrate and the carrying section for carrying the substrate to the processing section, in which method an adjustment value for arbitrarily changing a processing time for each of the plurality of substrates is assigned to the substrate in advance, the method comprising the steps of: acquiring the adjustment value assigned to a first substrate for this time processing; acquiring a reference adjustment value assigned to a reference substrate processed before the first substrate; acquiring an actual processing time, i.e., an actual time, for processing the reference substrate; calculating a predicted processing time for the first substrate by reflecting a difference between the adjustment value assigned to the first substrate and the reference adjustment value into the actual time; and adjusting a carrying timing of a second substrate processed after the first substrate based on the calculated predicted processing time.

The invention relates to the technical field of vehicles, in particular to a time processing method and device, computer equipment and a computer readable storage medium. The method comprises the following steps: acquiring corresponding candidate time from candidate clock sources except a local clock source under the condition that a time updating event aiming at the local clock source corresponding to a main controller is detected; wherein each candidate clock source comprises a system clock source of a target vehicle system bearing the main controller, and an external clock source of external equipment communicating with the main controller; selecting reference time from the obtained candidate time according to the priority of each candidate clock source; correcting the reference time according to a current timing format corresponding to the reference time, a local timing format of the local clock source and a timing overflow mechanism of the local clock source to obtain target time; and updating the local time of the local clock source by adopting the target time.

According to the real-time multi-level tile map synthesis method provided by the invention, five-level processing pipelines are not simply parallel, and independent segmentation factor level design, lock-free cross-level data channels and three-level synchronous barrier architecture are carried out; a dynamic memory release mechanism driven by a global tile counting dictionary and a boundary tile divide-conquer synthesis algorithm are used. Through global tile counting dictionary monitoring, the memory is released once the tiles are completed, and accumulation and occupation of the memory are avoided; a boundary adaptive threshold value avoids memory retention caused by the fact that boundary tiles wait to be filled up; five layers of independent treatment pipelines are designed, and the actually measured treatment speed is increased by 4-5 times compared with that of a single-stage serial system; synchronous barriers are arranged in the three stages of initialization, real-time processing and termination, and data consistency is ensured; 1: 1 to 1: 64 times of dynamic scaling is supported through five-level segmentation factors, original features of the image are kept while scaling is carried out by using a nearest neighbor interpolation algorithm, and coordinate range inspection is carried out.

The invention discloses a high-concurrency work order system distribution mode automatic switching method, system and device and a medium, through intelligent configuration routing, a real-time processing mode or an asynchronous queue processing mode is dynamically selected for work order APIs with different characteristics according to a preset strategy, and therefore the low delay requirement and the system stability are both considered; moreover, by adopting an independent mode switching monitoring module, when the message queue is abnormal, second-level sensing can be realized, and the mode is automatically and seamlessly switched to a real-time processing degradation mode, so that when the message queue is unavailable, the core work order service can still run continuously, the robustness of the system is improved, and the system performance is improved. The continuity of the core service of the system under the component fault is ensured, and the real high availability is realized.

The application relates to the field of mechanical processing, in particular to a workpiece parameter monitoring system and method for cycloidal rotation division processing, which comprises the following steps: collecting temperature data of a cutter and load data of a driving part in a cycloidal rotation division processing process in real time; collecting historical processing data when workpiece errors exist under various processing parameters; extracting the temperature data of the cutter, the load data of the driving part and corresponding workpiece errors from the historical processing data; establishing a relationship function of the processing parameters, error temperature change intervals, error load change intervals and the workpiece errors; obtaining real-time processing parameters and verifying real-time temperature change intervals and real-time load change intervals based on the relationship function; and judging the workpiece errors. According to the application, the temperature and load data of the cutter are collected based on the cycloidal rotation division processing principle, and the workpiece parameter errors can be monitored in real time.

Systems and methods may include a processor to receive time-series presence data from at least one presence sensing device associated with an area, including instances of presence detected in the area, and times associated with the instances. The processor may determine an occupancy metric in each time slot of the area based on the instances of presence and the times. The processor may generate an occupancy schedule for the area based on: the occupancy metric in each time slot and a history of occupancy metrics. The occupancy schedule represents a prediction of a level of occupancy of the area during each subsequent time slot in subsequent weeks. The processor determines a comfort system actuator in the area and communicates the occupancy schedule to the comfort system actuator to cause the comfort system actuator to actuate based on the prediction of the level of occupancy of the area.

The invention provides a method and a device for solving a time error in 2038. The method comprises the following steps: aiming at the condition that a kernel version of an operating system is smaller than a first preset version, responding to a first operation of a user, setting 64-bit time to obtain system calling and 64-bit time setting system calling, so that an application program obtains and sets 64-bit time, the bit number of RTC time is modified into 64 bits, and kernel time of the operating system comprises 64-bit time; when the application program is in the running state, the application program processes 64-bit time through a preset 64-bit time processing function, and the preset 64-bit time processing function is set in a source code of the application program. According to the method and the device, the operation system can directly process the 64-bit time by using the original kernel version without upgrading the kernel version, the scheme is simple, and the difficulty of processing the 64-bit time by the operation system is reduced.

The invention provides a marshalling station resource application plan compiling method and device, equipment, a medium and a product, and the method comprises the steps: determining a plurality of processing modules needing to be called according to the type of a to-be-processed train, and adding the to-be-processed train into a to-be-processed queue of the first processing module; each processing module determines resources occupied by the train or the train set, the start occupation time and the end occupation time; when the train or the train set starts to occupy resources, the train or the train set is moved from the to-be-processed queue to the in-processing set, and the current resource occupation state, the occupation starting time and the previous resource occupation ending time are updated. And after the processing is completed, judging whether the train or the train group has a next processing module, if so, adding the next module to-be-processed queue, and otherwise, ending the processing. According to the method, resource allocation is optimized through queue management, occupied resources, occupied starting time and occupied ending time of each train are determined, marshalling station resource occupation conflicts in a plan are effectively avoided, and the utilization rate of marshalling station resources is increased.

This invention discloses a real-time processing method based on multi-source heterogeneous data, belonging to the field of data analysis and processing technology. It uses a UTC benchmark and adjustable gain, power-law normalization to normalize multi-source timestamps while retaining metadata information. In streaming processing, it achieves reordering of out-of-order data and marking of expired data by setting buffer queues and watermark thresholds. When null fields or cross-source conflicts are detected, imputation and conflict handling are performed, outputting complete data after consistency correction. Subsequently, external high-precision references or cross-correlation functions are used to further fine-tune the timestamps at the millisecond level; if the adjustment exceeds the safety boundary, it is marked as suspicious. Finally, the corrected data is distributed to multiple nodes according to a sharding mapping strategy, and fault-tolerant consensus and difference repair are triggered under fault duration determination, thereby maintaining high-precision time-series alignment and high availability in high-concurrency scenarios, avoiding data loss or accuracy degradation caused by time-series inconsistencies and node failures. It can be widely applied to high-frequency analysis.

The invention discloses a vehicle trajectory prediction method based on an improved HTM, and the method comprises the steps: compressing an original code into a short code through multi-dimensional feature fusion, carrying out the feature extraction of a space pool through an SPLSN (micro-column self-recommendation space pool module), and achieving the time pool time sequence modeling through a TPLLAA (position sensing time pool module). And multi-path input expansion is realized by introducing a sequence caching mechanism. According to the multi-dimensional compression coding method, the sparse distribution representation is generated by fusing grid, time period and category coding, so that the data redundancy can be reduced, and the calculation complexity can be reduced; graded activation and synaptic protection can be realized by combining a micro-column self-thinning space pool module with a bearing degree and an overlapping value, and the efficiency and the accuracy are improved; tPLLA is utilized, position information is introduced to optimize cell selection, and an active set is reduced to inhibit historical interference; and by utilizing an SSCM (sequence state cache) mechanism, multi-track parallel processing and quick context retrieval can be supported, and the real-time processing capability is improved.

A quantum orchestration platform (QOP) comprises a collection of processing units and analog components that produce synchronized analog pulses, readouts, and computations that may be used for operations with qubits. All processing units of the QOP are synchronized with minimal skew via time processing over one or more sync cables that interconnect the processing units.

The invention discloses an anomaly detection method and device applied to an oil gas and pipe network site, and relates to the field of oil gas and pipe networks. The method comprises the following steps: acquiring operation data in an oil gas and pipe network site; under the condition that the operation data meets the preset abnormal condition, the operation data are sent to an operation and maintenance center in real time; under the condition that the operation data does not meet the preset abnormal condition, storing the operation data to a data queue; under the condition that the data queue meets the preset idle condition, the operation data in the data queue is sent to the operation and maintenance center, so that frequent data sending to the operation and maintenance center is avoided, the network transmission burden and the instant processing pressure of the operation and maintenance center are reduced, the operation and maintenance center can centralize resources to instantly process key data, and the user experience is improved. The processing delay caused by data redundancy is reduced, and the instantaneity of anomaly detection is improved.

The application belongs to the technical field of digital twinning, and particularly discloses a rough and fine grinding integrated machine virtual-real collaborative control method based on digital twinning, which comprises the following steps: S1, collecting real-time processing parameters of a rough grinding unit and a fine grinding unit, and constructing a grinding digital twinning body synchronized with an actual processing process; S2, constructing a long short-term memory network model to predict the state evolution trend of each unit in a future processing process; S3, performing process parameter optimization of a rough grinding to fine grinding whole process in the grinding digital twinning body; S4, searching for an optimal process parameter combination in the grinding digital twinning body environment by using a snake swarm optimization algorithm; S5, driving actual rough grinding and fine grinding process execution; and S6, if a processing abnormality or deviation is detected, automatically triggering re-optimization and correction control. The application combines a snake swarm optimization algorithm, a long short-term memory network model and an industrial field bus control technology, and realizes virtual-real collaborative grinding control of a full-automatic rough and fine grinding integrated machine based on digital twinning.

A sheet detecting device detects each sheet fed by a feeding process at a detection position on a downstream side of a feeding rotating body in a sheet feeding direction. A timing device measures an elapsed time from a time when the feeding process for each sheet is started to a time when each sheet is detected by the sheet detecting device. A processing device derives a target feeding time required for a target sheet to be fed from an initial reference position to the detection position based on a target measurement time measured by the timing device for the target sheet fed by the feeding process. The processing device counts a delay count that is a number of times the target feeding time exceeds a delay determination time. The processing device determines a deterioration state of a feeding mechanism based on the delay count.

The invention provides a real-time processing method and device for industrial processing process data, equipment and a medium. The method comprises the following steps: configuring a filtering condition of a batch processing data pushing system; based on production task pushing of the batch processing data pushing system, operation starting data is pushed when industrial processing operation starts, and operation final state data is pushed when the operation ends; configuring a timed task based on the filtering condition, and collecting real-time data of charging and output according to a preset time interval; when the operation final state data is received, the collected real-time data of feeding and output are summarized, and the feeding amount and the output amount are calculated based on the initial parameter value and the termination parameter value; and the collected real-time data is stored in a historical database, and the real-time data, the feeding amount and the output amount are displayed in real time through a visual interface. According to the invention, feeding and output data can be fed back more efficiently and flexibly in real time, and the data processing efficiency and real-time performance of the industrial processing process are improved.

The present application relates to the technical field of trade data management, and in particular to a plastic support business trade management system and a trade data management method, the method comprising obtaining business order information, the business order information including order quantity and order delivery time; obtaining material resource information and processing production line information, and determining the production information corresponding to the business order information based on the material resource information and processing production line information, the production information including the production line to be processed and the time period to be processed; performing graphical modeling processing on the production information to obtain the simulated processing flow information corresponding to the production information; when a processing instruction is detected, obtaining real-time processing flow information, performing production supervision on the real-time processing flow information based on the simulated processing flow information to generate production supervision information, and feeding back the production supervision information. The present application facilitates improving management efficiency and user experience.

The invention discloses an intelligent sensor signal processing method based on artificial intelligence. The method comprises the following steps: acquiring an original data stream related to the operation state of production equipment from at least one sensor; executing real-time processing based on a first preset parameter group on the original data stream, and outputting an operation instruction for controlling the production equipment; performing data analysis on the original data stream and / or the generated intermediate data based on a time sequence to obtain interference factors influencing data quality; dynamically adjusting the first preset parameter group through an adjustment strategy according to the interference factor; optimizing the operation instruction according to the output of the adjustment strategy; in this way, the key processing parameter set is seamlessly updated through parameter reconstruction. Therefore, the automatic control system can adaptively cope with various abnormal conditions and changes, and the automation degree of the automatic control system is improved.

The invention discloses a multi-core real-time processing method, device and equipment and a storage medium, relates to the technical field of multi-core processors, and is applied to a multi-core real-time processing system.The method comprises the steps that an interrupt event is obtained; and distributing the interrupt event to a corresponding real-time processor through a multi-core cluster interrupt distribution unit and / or an internal interrupt source shared by a multi-core cluster, so that the corresponding real-time processor processes the interrupt event, according to the method and the device, the interrupt event can be allocated to the corresponding real-time processor through the multi-core cluster interrupt allocation unit and / or the internal interrupt source shared by the multi-core cluster, so that the corresponding real-time processor processes the interrupt event, and the real-time interrupt event and the multi-core interrupt event can be processed at the same time; the real-time performance can be improved, the resource distribution is optimized, and the interrupt event management operation is simplified.

The application discloses a kind of dynamic adjustment method and terminal of task memory, monitor and calculate the average task processing rate of each subtask of pending task under historical condition;When the real-time execution data of pending task is obtained, if pending task has not been set fast task label, whether the current pending task exceeds the average task processing rate of preset proportion subtask, if yes, set fast task label for pending task;If pending task has been set fast task label, then increase the memory threshold of pending task according to preset proportion. In this way, the real-time processing rate of a task can be compared with the historical average processing rate to identify tasks that can improve processing speed by expanding memory, and dynamically configure appropriate memory threshold for the task. The dynamic adjustment of task memory can improve task processing speed and efficiency.