84 results about "Link data" patented technology

The application discloses a kind of based on logistics whole link data's freight transport insurance pricing and method and system, the present application is based on logistics order data, to build out insurance feature vector;Then, historical logistics order data is clustered, obtains several order class clusters;Then, the preceding insurance feature vector is searched feature, to match out with the most similar order class cluster of logistics order data, and in the most similar order class cluster, filter out similar order set corresponding to logistics order data;Then, the transport insurance information of each similar order in the similar order set can be based on, to generate the best transport insurance scheme containing freight transport insurance pricing information and insurance scheme information;Finally, it is sent to user end for user reference, and after user confirms insurance, then the automatic insurance of target goods can be completed;Therefore, compared with traditional technology, the present application improves efficiency, reduces labor cost, and improves user experience.

This invention relates to the field of electric vehicle charging and swapping equipment technology, specifically to a comprehensive energy replenishment center, comprising an intelligent operation management platform, a clean energy supply system, an energy storage device, a swapping station main body, an operation and testing system, and swappable electric vehicles. The intelligent operation management platform is bidirectionally electrically connected to each system, solving the problem that current swapping stations are often positioned as single energy replenishment nodes, lacking a full-link data traceability system, service integration design, and a fixed profit model. The mobile energy storage device is connected to both the input clean energy supply system and the output swapping station main body. The swapping station main body integrates a power system, battery compartment, swapping actuator, electric vehicle battery pack, charging unit, and operation and testing system. The swapping actuator is equipped with a universal docking locking component. This invention achieves multi-vehicle compatible swapping, optimizes vehicle-battery management, reduces costs and increases efficiency, achieves clean energy self-sufficiency, and promotes the low-carbon development of new energy replenishment networks.

This application relates to the field of security auditing technology, and provides a method and system for cross-domain business behavior auditing based on clock synchronization. The method includes: performing clock calibration and dynamic compensation on slave nodes of each business domain, assigning a unique time sequence identifier to each slave node of the business domain to bind domain attributes and node identity information; encrypting and collecting operation logs and / or data flow records of each business domain to obtain core time sequence features; constructing a benchmark fitting based on the core time sequence features and calculating residuals, quantifying the residuals to obtain time sequence deviation quantization values, and performing cross-domain business abnormal behavior detection based on the time sequence deviation quantization values ​​and multi-level abnormal thresholds; when abnormal behavior is detected, performing time-series full-link tracing based on the calibrated timestamp and unique time sequence identifier, and reliably storing the abnormal behavior and corresponding tracing link data, thereby achieving accurate link reconstruction of abnormal behavior and enhancing the integrity of the evidence chain, and improving the accuracy and reliability of cross-domain business compliance auditing.

The present application relates to livestock traceability technical field, specifically for livestock meat slaughtering, cutting and packaging traceability method and system based on internet, the method comprises: collecting quarantine information of livestock individual, obtaining initial traceability data; according to initial traceability data, determine the slaughter batch code, and the initial traceability data source is bound with the slaughter batch code, and the slaughter credible data package is obtained; based on the slaughter batch code, the cutting operation process information of livestock individual is tracked and filed in real time, and the cutting link data chain is obtained; based on the cutting link data chain, the multi-dimensional quality of livestock individual is judged, and the comprehensive quality index is obtained; based on the comprehensive quality index, the intelligent matching planning of meat product is carried out, and the packaging batch planning is obtained; based on the packaging batch planning, the livestock individual is coded and identified, and the product traceability code is obtained; the present application can improve the efficiency of livestock meat slaughtering, cutting and packaging traceability based on internet.

This invention relates to a dynamically configurable method for secure unidirectional data transmission via isolated links, belonging to the field of network security technology. The method includes: acquiring isolation security rules and network boundary constraint parameters for the target scenario; parsing unidirectional transmission constraints and isolation requirements; establishing dual independent unidirectional transmission channels and initializing the node environment to generate a physical layer-level absolutely unidirectional isolation architecture; constructing a dynamic configuration model for unidirectional transmission; inputting service and security level requirements to generate full-link configuration rules and perform compliance verification; achieving closed-loop verification of configuration without reverse data using non-digital optical signals; subsequently collecting and encapsulating on-site service data according to the rules; distributing the data via the unidirectional channel; and having the external network side complete compliance verification and format conversion to form a closed-loop transmission link; real-time acquisition of full-link data for iterative optimization of configuration strategies; synchronously updating the rule set; and performing emergency response to transmission anomalies and link failures. This achieves adaptive dynamic configuration of isolated links and secure control over the entire unidirectional data flow.

The application relates to a SkyWalking call link sampling method based on a computer software technology field.The method comprises the following steps: reporting link data in an agent end to a server end in full amount; forwarding the link data to a Kafka asynchronous consumption; judging the link needing sampling in a first round of consumption and recording a TraceId, writing the TraceId into a sampling Bloom filter, and storing the TraceId into a first storage unit in full amount; judging whether the TraceId exists in the sampling Bloom filter in a second round of delayed consumption, storing the TraceId into a second storage unit and writing the TraceId into a query Bloom filter if the TraceId exists; and routing to the corresponding storage unit according to the TraceId and the query Bloom filter during the query.The application solves the problems of incomplete sampling, inaccurate indexes, incomplete links, high storage cost and low query efficiency through full amount reporting, asynchronous decoupling, two rounds of consumption, double Bloom filters and storage separation.

The present application relates to the technical field of digital data processing, in particular to a high-stability and security protection full-link data synchronization analysis platform for a multi-service system of building materials, comprising a data source adaptation module, a full-link endogenous security protection unit, a double-active arbitration type high-stability data synchronization engine unit, a full-link time sequence consistency verification unit and a building material scene exclusive data fusion analysis unit. Through dynamic trust value zero trust authentication, multi-dimensional heartbeat arbitration switching, full-link SM3 hash consistency verification and building material process energy efficiency matching degree analysis core algorithm, the platform realizes the full-link security and stability synchronization and scenario-based fusion analysis of multi-service system data, and provides reliable data support for digital production control and fine operation of the building material industry.

This invention provides a method, device, and storage medium for generating and utilizing a multimodal discourse tree (MMDT). [Solution] The method generates an Extended Discourse Tree (EDT) from a text corpus (e.g., from a Discourse Tree (DT) or Communication DT (CDT)), links data records (e.g., records containing numerical data) to the Extended Discourse Tree, and generates a Multimedia Discourse Tree (MMDT). The MMDT links any suitable text / records from heterogeneous sources. For example, entities identified from the basic discourse units of the EDT are matched with entities in the data records. The method also identifies causal links between EDTs and / or between data records, identifies rhetorical relationships for each entity match / causal link match, and merges the data records with the EDT to generate the MMDT.

The application discloses a kind of custom home spare and accessory supply chain digital collaborative management system, specifically relates to supply chain data management technical field, including internet of things terminal equipment control module, custom home data acquisition module, supply chain collaborative prediction module, user demand intelligent matching module, the present application is by collecting each link data of supply chain, the home demand of user, and is assembled as demand gene sequence, demand gene sequence is split, with system database is matched with multiple target optimization, generates not less than two groups of supply chain resource matching scheme, constructs risk characteristic index system, by objective function, the value of each scheme is calculated, generates the optimal supply chain resource matching scheme, and creates production task, realizes from user demand acquisition, supply chain data acquisition, resource matching, the whole process digital management of production task creation, promote the real-time intercommunication and collaborative decision of information between multiple subjects, improve supply chain overall operation efficiency.

The application discloses a kind of logistics supply chain management system and management method, it is related to logistics supply chain management technical field, the application includes: data acquisition module, data analysis module, data processing module and local database, can realize the collaborative linkage of warehouse, transportation, sales whole link data, accurately control inventory supply-demand balance, avoid the risk of existence shortage and goods overstock, while guarantee the stability and economy of cross-warehouse allocation transportation, real-time visual presentation operation execution progress and timeliness deviation, not only optimize the logistics supply chain resource allocation efficiency, reduce the warehouse fund occupation and transportation comprehensive cost, also improve the precision of instruction execution and the timeliness of risk response, enhance the adaptation ability of system to diversified business scenarios, help to build efficient, flexible, reliable logistics supply chain operation system, significantly improve the efficiency of operation system.

This invention relates to the field of logistics management technology, and specifically discloses a multi-entity logistics integrated management platform supporting dynamic resource scheduling. The method includes: an acquisition module for acquiring platform basic data, platform transaction data, and transaction link data; a determination module for determining the link type label, order node sequence, set of entities to be matched, and candidate entity set for each entity label in the set of entities to be matched for each transaction order in the platform transaction data; a link module for determining the link transaction data of multiple link transactions; a calculation module for calculating the scheduling value of each candidate matching entity set for each link transaction; and a management module for implementing execution management of all transaction orders in the platform transaction data. This allows for intelligent matching and dynamic optimization of multi-entity resources, improving the link integration efficiency, entity matching accuracy, and resource utilization efficiency of logistics transactions, and strengthening the platform's adaptability to complex logistics scenarios and its full-process control capabilities.

This invention relates to the technical field of rights exchange risk identification, and discloses an artificial intelligence-based method for rights exchange risk identification and early warning. The method includes: uniformly encoding raw rights behavior data from operators and internet platforms to obtain cross-platform standardized rights data; constructing cross-platform rights action links based on the cross-platform standardized rights data to obtain cross-platform rights action link data; extracting multi-dimensional features from the cross-platform rights action link data to obtain cross-platform link structured feature vectors; performing link-level anomaly identification and risk scoring based on the cross-platform link structured feature vectors; and generating early warning results for risk control. This invention uses cross-platform rights data analysis for risk early warning identification, which helps to achieve data linkage between platforms, break down data silos between platforms, accurately identify abnormal cross-platform rights exchange behavior, and improve the accuracy of cross-platform risk management.

This utility model relates to the field of electronic disk testing technology, and more particularly to an adapter test card for NVMe electronic disks. The adapter card includes a PCIe interface, an NVMe electronic disk interface, an external power interface, a DC-DC converter circuit, a sampling circuit, a PCIe signal repeater, and a data processing and output unit. The DC-DC converter circuit includes three DC-DC converters for receiving power input from the external power interface and providing 3.3V, 1.8V, and 12V power rails. The sampling circuit is connected in series with the power rails of the DC-DC converter circuit to monitor the instantaneous current and voltage of each rail. The PCIe signal repeater is electrically connected to the PCIe interface and the NVMe electronic disk interface to monitor link data. This utility model is powered by an external power interface, monitors the power consumption characteristics of multiple power rails, monitors link status, and achieves coordinated analysis of power consumption and signal quality to accelerate fault location. The design reduces noise interference and crosstalk, and is highly integrated.

The application discloses an error tracing data processing system and relates to the technical field of electric digital data processing. In the cross-border transmission process of multi-source fund data, the system constructs a full-link traceable collaborative data set through link logic state matching; the heterogeneous data in the collaborative data set is parsed and converted with the established data conversion rule library to obtain standardized adaptive data; in the cross-link transmission and multi-node circulation process of the standardized adaptive data, transmission errors of single data interaction links and / or composite transmission errors in the superposition state of multi-link data circulation are identified, and error root cause positioning is realized through error tracing data processing.

The application provides a simulation method and system for navigation satellite inter-satellite link observation data, and belongs to the field of navigation satellite inter-satellite link data simulation. The method first acquires constellation configuration parameters and dynamic parameter configurations, and performs orbit integration to generate position parameters and velocity parameters of all navigation satellites in the constellation; then, according to the position parameters and the velocity parameters, clock difference polynomial coefficients and corresponding reference time, the inter-satellite geometric distance between any two satellites and satellite clock difference parameters are calculated; zero value parameters of any two satellites are simulated, and error parameters changing with direction and combined values of random noise of any two satellites are simulated; finally, according to the inter-satellite geometric distance, the satellite clock difference parameters, the zero value parameters and the error parameters changing with direction and the combined values of random noise, an inter-satellite observation data simulation equation of any two satellites in the constellation is constructed. The simulation accuracy and precision of the satellite inter-satellite link are improved.

The application discloses a substation full-link data management system and method based on source end modeling, relates to the technical field of substation data management, and generates an initial digital model according to substation design drawings and a device parameter list; performs semantic checking and logical consistency checking on the initial digital model by adopting a modeling standard, verifies the rationality of the device by a rule engine; collects a plurality of angle image sequences of a terminal row, analyzes image frequency domain features and space domain features, and analyzes the connection logical relationship of the terminal row; establishes a feature space of device parameters, identifies the difference between entities and the digital model by calculating parameter distribution similarity and topological structure consistency indexes, and marks matching abnormal devices; constructs an influence correlation model between the matching abnormal devices and the influence degree, and generates a correction instruction according to a difference influence factor. The prediction accuracy of the difference occurrence probability is improved.

The application discloses a communication link fault diagnosis method and device, equipment and storage medium, and relates to the technical field of communication. The method comprises the following steps: acquiring communication data sent by each communication sub-machine based on a preset frequency, and generating a fault diagnosis instruction when the communication data contains abnormal data; generating target test information based on the fault diagnosis instruction, and broadcasting the target test information to each communication sub-machine by using a preset wireless network, so that each communication sub-machine collects test data based on the target test information to generate feedback data; acquiring the feedback data sent by each communication sub-machine, and analyzing the feedback data based on a built-in fault analysis tool and a preset communication link topology diagram to determine a communication abnormal position and a fault cause. In this way, the whole-link data is automatically collected by the sub-machine, and the fault diagnosis positioning time is shortened from several hours / days in the prior art to several minutes through centralized analysis of the master machine, so that the fault elimination efficiency is greatly improved.

The application discloses an iron-water combined transportation intelligent tracking system based on OCR identification applied to the technical field of intelligent logistics informatization, builds a data supermarket of the system itself and a whole-link data blood relationship graph of 'daily demand-waybill-goods tracking', realizes full-process visualized tracking and abnormal rapid positioning of goods state, and effectively changes the state of previous information islands and difficult tracking; in addition, by additionally arranging portable intelligent input terminals, a double-track data acquisition and fusion system of 'terminal input+OCR identification' is formed, data recording on a form can be checked at the same time, data quality problems caused by careless writing, format errors and logical contradictions are greatly reduced from the most front end of data generation, data accuracy is further improved, subsequent error correction cost is greatly reduced, and the rapid establishment of a data blood relationship graph is facilitated.

The present application belongs to the field of furniture manufacturing, and particularly relates to a raw material recording system for traceability, which comprises an information acquisition module, an sap module, a printing module and a mes module. The information acquisition module acquires raw material incoming data from an srm module. After the raw material is processed into finished plate, the sap module allocates a warehouse position for the finished plate and records the warehousing data of the finished plate. The printing module is in data connection with the information acquisition module and the sap module, generates a traceability label for the finished plate, and the traceability label comprises the raw material incoming data and the warehousing data. The mes module records the processing link data of the finished plate after delivery, and the processing link data is bound with the raw material incoming data and the warehousing data. The present application provides a raw material recording system for traceability, and aims to solve the problem of poor raw material traceability effect in the prior art.

This invention discloses an intelligent prediction method for end-to-end supply chain data based on big data analytics, belonging to the field of big data analytics technology. The method includes: collecting multi-source operational data to generate standardized end-to-end supply chain data; constructing a continuous state sequence set and a discrete event sequence set to build a dynamic supply chain topology; calculating state change increments to form a continuous state evolution parameter set; performing fractional-order long-memory modeling using the Mittag-Leffler distribution to generate a disturbance propagation clock parameter set; constructing an improved fractional Brownian motion model to generate an event coupling trajectory set; performing clock renormalization processing to output supply chain risk warning results. This invention, by introducing an improved fractional Brownian motion model and the Mittag-Leffler distribution method, achieves intelligent prediction and early warning of the end-to-end supply chain state evolution trend and risk propagation process.

The application relates to the technical field of data processing, and specifically provides a whole-process data processing method, system and device of a travel order and a storage medium, which comprises the following steps: generating a unique main hash identifier of a travel order and uploading the unique main hash identifier to a blockchain network; for a plurality of business links in the life cycle of the travel order, sequentially constructing a sub-hash identifier associated with the main hash identifier on the blockchain network to form a main-sub hash chain; wherein, when each sub-hash identifier is constructed, input data at least comprises the main hash identifier, link data of a current business link, and a sub-hash identifier generated by an immediately preceding business link, so that each sub-hash identifier is sequentially nested and bound; and based on link data recorded in the main-sub hash chain, dynamically generating and synchronizing consumption details associated with the order. The application realizes whole-process automation, refinement and compliance of travel management under data driving.

This invention discloses a method and apparatus for processing multi-source heterogeneous data in a distributed system. Its features include: acquiring indicator data, log data, and link data; processing the log data using an online log parsing algorithm to determine log update data; if the log update data contains link identification information, fusing the link data, log data, and indicator data based on the link identification information, scheduling unit name, and data timestamp to determine first fused data; if the log update data does not contain link identification information, fusing the link data, log update data, and indicator data based on the link operation name, scheduling unit name, and data timestamp to determine second fused data; and constructing a graph based on the first and second fused data to determine a distributed scheduling graph. This multi-source data fusion significantly improves the operational efficiency and fault handling efficiency and accuracy of large-scale distributed systems.

In an illustrative embodiment, an automated system links data files associated with loan submissions that have different identification attributes. The system may include computing systems and devices for receiving requests from a number of remote computing systems to identify loan products associated with a data file. The system can generate a matching input matrix comparing identification attributes from a first data file to identification attributes of candidate data files. The system can apply attribute matching rules to the matching input matrix to identify other data files that correspond to the same loan product as the first data file despite the data files having different identification attributes. The system can link data files corresponding to the same loan product within a data repository with a product linking key and output the linking key or other data for the loan product to a receiving computing system.

A memory chiplet includes storage and multiple memory control circuits. Each of the multiple memory control circuits to control a memory access operation to the storage. Multiple channel circuits are employed in the memory chiplet to transfer channel data between the multiple memory control circuits and the storage at a channel bandwidth. Multiple link input / output (I / O) circuits couple the memory chiplet to a host integrated circuit (IC) chiplet. Each of the multiple link I / O circuits transfer link data at a link bandwidth that is free to be different than the channel bandwidth. Bandwidth balancing circuitry, based on relative values between the channel bandwidth and the link bandwidth, selectively configures the multiple channels to transfer a total amount of data at a fully-available link bandwidth of the multiple links or selectively configure the multiple links to transfer the total amount of data at a fully-available channel bandwidth of the multiple channels.

This invention provides a hierarchical estimation-based joint autonomous orbit determination method and system for LEO constellations using GNSS / inter-satellite links. First, GNSS data and inter-satellite link data collected by each satellite are acquired. Then, these data are input into local filters to obtain the state estimates and covariance matrices of each satellite. Next, the state estimates and covariance matrices are input into a main filter to obtain the overall reference error estimate of the constellation. Finally, the overall reference error estimate is fed back to each local filter to correct the state estimates of each satellite, resulting in the final high-precision orbit parameters and clock error parameters for each satellite. This invention decomposes the global orbit determination problem into local estimation and low-dimensional reference error estimation through a hierarchical estimation architecture. Combined with an observation model based on an inter-satellite link closed loop and an adaptive weight adjustment mechanism, it effectively suppresses overall constellation reference drift, significantly reduces computational complexity, and enhances the system's robustness in complex space environments.

This application provides a method, system, medium, program product, and terminal for front-end end-to-end data tracking based on intelligent scheduling using a Worker pool for the domestic IT innovation environment. It obtains multi-dimensional features and constructs an environment profile in the main thread; creates an intelligent Worker pool based on the environment profile; obtains end-to-end tracking tasks in the main thread or the intelligent Worker pool; dynamically routes the end-to-end tracking tasks to the intelligent Worker pool using a preset intelligent dispatcher; constructs a data processing flow based on security information in the environment profile; performs data security processing operations on the tracking data of the end-to-end tracking tasks in the intelligent Worker pool to obtain processed tracking data; detects the network status of the domestic IT innovation environment; and performs upload processing or storage waiting operations on the processed tracking data based on the detection results. This application achieves adaptive scheduling, security enhancement processing, and reliable reporting of end-to-end front-end tracking tasks in the domestic IT innovation environment.

The application discloses a five-level linkage penetration query method and system for sales execution data in an industrial MES, and relates to the technical field of industrial manufacturing execution system (MES) data query and analysis. The application builds a five-level linkage penetration architecture from macroscopic aggregation to microscopic physical material details, designs an automatic transmission mechanism for upper-level screening parameters, constructs a unified data accounting model with temporary tables as the pivot, realizes unique association of full-link data through contract hash values, and introduces database transaction control to ensure stable operation. The application solves the problems of scattered statistics, drilling difficulty, inefficient traceability and different caliber of traditional industrial enterprise sales execution data, realizes cross-module and multi-level full-link linkage penetration query, improves data traceability efficiency by more than 90%, unifies the accounting caliber of multiple modules, provides precise data support for fine management and efficient decision-making of enterprises, and is suitable for the sales execution data management scene of industrial enterprise ERP / MES systems. The application has been completely applied in actual industrial ERP systems, can run stably in real production environment for a long time, and has mature engineering value and industrialization popularization ability.