13 results about "Data latency" patented technology

The application relates to the technical field of data accounting, in particular to an automatic data accounting method and system based on a rule engine, which comprises the following steps: obtaining a historical database based on a merchant, constructing a rule sample database for the rule engine through the historical database, and establishing rules and constructing a rule library according to the requirements of the merchant; evaluating the similarity of two rules in the rule library, and dividing the rule library into multiple rule sets; constructing an accounting database through the historical database and the rule sample database, obtaining a new rule through the accounting database, analyzing the new rule to determine a rule set, judging the data delay state of the new rule entering the rule engine and joining the rule library according to the rule set, and setting a data delay reaction window; evaluating the data delay performance degree based on the data delay reaction window, adjusting and iterating the rule set through the data delay performance degree until the data accounting is completed. The distributed accounting process of data is realized, and the automatic efficiency of the final data accounting is improved.

The utility model relates to an aluminum electrolysis cell two-level measurement mobile data acquisition vehicle based on a thermal infrared imager, which comprises a vehicle body, a data acquisition unit in communication connection with a background data center is arranged on the vehicle body, moving wheels are arranged at the bottom of the vehicle body, and an X-axis push rod is arranged at the top of the vehicle body; the action end of the X-axis push rod is connected with the fixed end of the Y-axis push rod, the action end of the Y-axis push rod is connected with the measuring drill rod, the thermal infrared imager and the shooting backboard are arranged on the side, close to the measuring drill rod fixing device, of the vehicle body, and the thermal infrared imager is in communication connection with the data collector; the X-axis push rod drives the Y-axis push rod and the measuring drill rod to move in the horizontal direction, and the Y-axis push rod drives the measuring drill rod to move in the vertical direction. The measuring drill rod is inserted into / pulled out of the electrolytic cell by simulating manual operation, and the thermal infrared imager is used for acquiring temperature distribution of the electrolyte and the molten aluminum solidified on the surface of the measuring drill rod, so that the liquid level heights of the electrolyte and the molten aluminum are determined, the accuracy and the real-time performance of data are improved, the delay of production process control caused by data delay is reduced, and the production efficiency is improved. The labor intensity is reduced.

The AI inference engine-based data time delay optimization control method of the application obtains historical service attribute labels, historical service processing data and to-be-inferred data flow of a target inference service, then constructs a semantic value evaluation model and a time delay budget allocation model to evaluate the semantic contribution degree of each to-be-inferred data, and allocates inference time delay budget and computing power channel access authority for each to-be-inferred data. The to-be-inferred data can be classified by combining the semantic contribution degree, the inference time delay budget and the computing power channel access authority, the priority of different to-be-inferred data is determined, and the corresponding execution channel is allocated based on the difference in priority, so as to avoid redundant service inference from occupying computing power resources, ensure that to-be-inferred data with high priority can obtain exclusive computing power resources for inference, ensure that the time delay meets the standard, and in addition, the semantic value evaluation model and the time delay budget allocation model can be updated in a closed loop based on the inference result and service feedback data, so as to ensure long-term adaptability and stability.

This invention specifically relates to a blockchain-based electricity trading method, encompassing the application of blockchain in the field of electricity trading technology, including: user identity and permission management; transaction matching and consolidation; smart contracts; and data transmission optimization. In this invention, a delay factor model is constructed based on spatial domain analysis, multi-dimensional risk quantification, and dynamic strategy adjustment to accurately address the data upload delay problem of smart meters. By focusing on physically adjacent meter groups through circular domains, and combining overlap and collision measurements to quantify congestion and failure risks, a neural network is used to predict delay evaluation coefficients, achieving precise optimization of upload time. This mechanism effectively disperses upload pressure during periods of high overlap, reduces data transmission failure rates, ensures timely on-chain uploading of electricity trading data, and avoids problems such as settlement delays and contract execution interruptions caused by data latency. This significantly improves the real-time performance and reliability of blockchain electricity trading, providing users with an efficient and stable trading experience.

The application relates to the technical field of data management, and discloses a dynamic partitioning and priority scheduling method based on time series data, which comprises the following steps: collecting time series characteristics of an industrial data source through an edge gateway and structurally storing the time series characteristics in Redis, wherein the time series characteristics include a collection frequency, a historical peak period and a service priority; calculating a load index based on the time series characteristics, driving a distributed message system to perform dynamic partitioning adjustment of predictive expansion, accurate hotspot splitting and intelligent low-peak shrinkage; and realizing full-link data priority scheduling through production end routing isolation, Broker end resource tilting and consumption end thread pool isolation. The application realizes dynamic adaptation of distributed message system resources and industrial time series data load, guarantees the real-time performance of high-priority data, improves the integrity of data transmission and the system adaptability, and effectively solves the problems of poor load fluctuation adaptation, high-priority data delay and easy data loss in faults in the prior art.

The invention relates to the technical field of data accounting, in particular to an automatic data accounting method and system based on a rule engine, and the method comprises the steps: obtaining a historical database based on a commercial tenant, building a rule sample database as a rule engine through the historical database, building a rule according to the demand of the commercial tenant, and building a rule base; evaluating the similarity between every two rules in the rule base, and dividing the rule base into a plurality of rule sets; the method comprises the following steps: constructing an accounting database through a historical database and a rule sample database, obtaining a new rule through the accounting database, analyzing the new rule to determine an attribution rule set, judging a data delay state of the new rule entering a rule engine and adding into a rule base according to the attribution rule set, and setting a data delay response window; the data delay representation degree is evaluated based on the data delay reaction window, and the rule set is adjusted and iterated through the data delay representation degree until data accounting is completed. The distributed accounting process of data is realized, and the automation efficiency of final data accounting is improved.

The invention provides an iOS mobile terminal-oriented data delay loading method and system based on a GraphQL protocol, and related equipment. The method comprises the following steps: receiving a stream segment load transmitted by a server based on a GraphQL protocol, and analyzing a causal fence identifier in the stream segment load; based on the causal fence identifier, establishing and maintaining a causal fence state for a key value corresponding to the stream segment in a standardized cache of a client; inputting the causal fence state into a user interface hydration engine of a client, and performing causal fence verification on fragments in a waiting queue in the user interface hydration engine; and when the causal fence verification meets a dependent closure, submitting a user interface update transaction of a corresponding segment by utilizing the user interface hydration engine.

This invention discloses a customer group operation method, apparatus, electronic device, and storage medium, relating to the field of internet data processing technology. The method includes: dynamically setting the number of shards and grouping user data into multiple independently executable micro-batch task units by assessing cluster size and resource status. A streaming engine with multiple execution nodes is used to adjust the micro-batch granularity in real time according to cluster load. Each execution node monitors resource status in real time, calculates a resource busyness coefficient based on the current number of micro-batch task units and estimated execution time, and dynamically allocates task volume accordingly. In the face of upstream tag data latency, the system automatically triggers a tiered degradation strategy, flexibly cutting non-core tasks, switching to offline tag snapshots, or implementing a fallback strategy based on the latency level and task priority, ensuring the continuity of core business. This invention effectively solves the problems of poor timeliness, low resource utilization, and lack of effective disaster recovery mechanisms in existing technologies.

Example embodiments of the present disclosure relate to devices, methods, apparatuses and computer readable storage media for transmission power adaptation. The method includes: receiving, at a first device and from a second device, a channel state information configuration; and in response to receiving a reference signal from the second device, transmitting to the second device a channel state information report based on the channel state information configuration, the channel state information report including assistance information on transmission power adjustment for the second device. In this way, the adjustment of transmission power and bandwidth assignment can be implemented without degrading the supported multiple input multiple output layers. Thus, the spectral efficiency is improved, while the data latency and network energy consumption are reduced.

The present application relates to the technical field of data caching, and more particularly to a method for guaranteeing consistency of massive real-time storage and low-delay full-amount data synchronization, comprising: writing incremental data into a message queue by using a data synchronization tool to generate a checkpoint; setting a target real-time storage library to an offline state; performing data conversion processing on full-amount latest data and importing the converted data into the target real-time storage library; setting the target real-time storage library to an online state; starting a CDC incremental data processing flow program, consuming incremental data in the message queue, and performing playback processing on the converted data stored in the target real-time storage library. The present application can reduce the delay impact on the data of the target real-time storage library that has been put online by introducing an effective incremental synchronization mechanism, so as to capture the data changes of the source business system database and quickly apply these changes to the target real-time storage library, which is helpful for timely decision-making and responding to market changes.

The invention relates to the technical field of data management, and discloses a metadata-based data asset map construction method and system. Comprising the following steps: S01, analyzing metadata from data assets, and extracting data tags; s02, constructing an original map with a hidden data network; s03, establishing an associated channel with an on-off contact, and upgrading the original map into a data asset map; s04, determining an updating mode of the data asset map, and updating the data asset map; according to the method and the device, associated and interactive channels can be provided for the metadata of the associated data assets on different nodes, so that the phenomenon that the associated data assets are independent or discrete is avoided, and the metadata of the data assets can be updated timely, associated and accurately through the associated channels; it is ensured that the data assets in the data asset map can be dynamically matched with the actual production and operation conditions of an enterprise, and the phenomena of data delay, lag and inaccuracy of the data asset map are avoided.

The present application relates to the technical field of data processing. Provided are a data caching method and system, and a product, a device and a storage medium. The method is applied to a graphics processing unit, and comprises: acquiring, from a current pending task sent by a host, a target computing task that is required to be executed by the graphics processing unit, wherein the graphics processing unit pre-establishes a connection with a memory pool, the memory pool comprising a shared first memory partition and a second memory partition exclusive to the graphics processing unit; determining, when the graphics processing unit itself executes the target computing task, the data type of each piece of first data to be cached; on the basis of the data type, determining a corresponding target memory partition; and caching the first data to be cached into the corresponding target memory partitions, in order to use the cached data to complete a subsequent computing process. In this way, the graphics processing unit of the present application can implement data caching using a mounted memory pool, and can flexibly cache data into different memory partitions on the basis of data types and a memory partition set, thereby improving the data exchange performance and reducing the data latency.

This invention discloses a method and system for low-latency data transmission of vehicle-road-cloud (V2X) data based on edge computing, relating to the field of V2X data transmission technology. The method includes: establishing a V2X edge collaborative transmission system; extracting features and classifying the V2X collaborative data to obtain classified V2X data; monitoring and acquiring the communication status parameters of each transmission link in the V2X edge collaborative transmission system, analyzing the transmission strategy of each transmission link, and determining the edge computing V2X low-latency transmission strategy parameters; and matching and mapping the classified V2X data to the corresponding transmission links to complete the V2X low-latency data transmission. This invention solves the technical problems of high data latency, low transmission efficiency, and uneven utilization of link resources in existing V2X transmission, achieving low-latency transmission of V2X data and improving the data transmission efficiency, real-time performance, and link resource utilization of the V2X collaborative system.