340 results about "Data linking" patented technology

A pest control system is disclosed comprising an optical, computational, and monitoring subsystem, optionally mounted on a mobile platform. The optical system may include a neutralizing laser or multi-wavelength light source, discovery and detail cameras (optionally stereo), a beam-steering mechanism, tunable focus, and optional thermal or depth sensors. The processor, such as a GPU or FPGA, identifies insect or biological targets, adjusts laser focus by depth, and controls beam activation. A monitoring system verifies safety by detecting humans or other non-target entities using environmental and thermal cameras; if detected, laser firing is inhibited. The mobile platform may use wheels, propellers, tracks, or cables, with GPS and data links for remote control. A visible light pre-flash may induce a blink reflex before firing. In some embodiments, a scouting drone transmits target coordinates to the neutralization unit, enabling coordinated, efficient, and safe laser-based pest control.

The invention relates to an aviation equipment manufacturing digital main line engine system supporting multi-source heterogeneous data access, and belongs to the technical field of aviation manufacturing data management. The system comprises a multi-source heterogeneous data access adaptation module, a data fusion processing module and a full-process data link construction module. The multi-source heterogeneous data access adaptation module passes through a data interface protocol and format conversion component; the data standardization and fusion processing module completes association fusion through an aviation heterogeneous data collaborative computing framework by means of an aviation manufacturing field data element standard library, a unified heterogeneous data model is generated, and the framework comprises a data fragmentation layer, a parallel node layer and a result aggregation layer; and the full-process data link construction module constructs a data link covering the full life cycle of the product based on a time sequence association algorithm and a product unique identifier mapping mechanism. The system can effectively solve the integration and management problems of multi-source heterogeneous data in aviation equipment manufacturing, and improves the data processing efficiency and the whole-process data tracing capability.

The invention relates to the technical field of integrated circuit system-on-chip communication, and relates to a network-on-chip transmission method and device based on a dynamic parallel mechanism, and a medium. The method comprises the following steps: carrying out parallel transmission by adopting a control link and a data link which are separated; the control link and the data link are respectively provided with an independent packing module and an independent unpacking module; different transaction types are adapted through a dynamic message structure; dynamic subpackaging is carried out according to the data size during data link packaging; when the control link is unpacked, parameters are split through the Controldec module and are sent to the parameter receiving module; and when the data link is unpacked, the data link is controlled by a state machine, and the split data is transmitted into a data storage module. The invention aims to effectively reduce congestion, reduce power consumption and improve the transmission efficiency and the overall performance of the network on chip through parallel transmission architecture design, double-link parallel packet processing logic design and a composition structure of a dynamic message.

The invention relates to a UCIe-based data link test method and device, and a chip. The method comprises the steps that a local core particle obtains an eye pattern inspection result which is returned by a remote core particle and is associated with any data channel in a data link; according to the eye pattern inspection result and a preset eye pattern threshold interval parameter, determining whether the eye pattern inspection result accords with an interval range allowed by the eye pattern threshold interval parameter; determining any data channel as a qualified channel under the condition that the eye pattern inspection result accords with an interval range allowed by the eye pattern threshold interval parameter; and under the condition that the eye pattern inspection result does not accord with the interval range allowed by the eye pattern threshold interval parameter, determining any data channel as an unqualified channel. According to the technical scheme, the available bandwidth of the data link can be improved, the stable communication rate of the data link can be ensured, the flexibility of configuration about link training can be improved, and the method and the device can be compatible with a related UCIe protocol.

The invention discloses an unmanned aerial vehicle group temporary communication network construction method based on visual self-organization. The method comprises the following steps: establishing an unmanned aerial vehicle node system and a security audit management system to realize flight control and message encryption exchange; airborne perception is realized through a visual candidate site identification system, and multi-modal data fusion and site scoring are carried out; domain autonomy and weighted election are realized by using a distributed voting and election system, and relay nodes are determined; scheduling, monitoring and self-adaptive reconstruction of a multi-hop path are completed based on a multi-hop relay and route maintenance system; and target detection, positioning and emergency document reporting are executed through the search and rescue positioning and situation return system. According to the method, voice and data links can be quickly recovered when ground communication facilities are damaged or unavailable, and under the condition of limited communication and energy, an unmanned aerial vehicle group can autonomously identify a safe position in a distributed manner and negotiate to establish a reliable multi-hop communication network, so that emergency rescue and positioning services are supported.

The invention relates to the technical field of industrial intelligent control, and discloses a multi-model collaborative optimization industrial MES intelligent control system. The system comprises a data analysis module, a knowledge enhancement module, a collaborative decision engine module, a decision fusion module and a control execution module. And the data analysis module executes tree structure-based data link analysis on the MES multi-source heterogeneous data, and constructs a production data tree structure with a multi-layer father-son relationship. And a knowledge enhancement module injects a domain knowledge template into each node of the structure to form a knowledge-enhanced production data graph structure. And the collaborative decision engine distributes the graph structure to a plurality of heterogeneous artificial intelligence models for parallel analysis through the unified service gateway. And the decision fusion module performs fusion processing based on confidence weighting on the output of each model to generate a comprehensive control decision instruction, and finally the control execution module drives the MES to complete production adjustment, equipment optimization and material scheduling. According to the system, the accuracy, the real-time performance and the interpretability of industrial intelligent decision making are improved.

This application describes a network-on-chip system that could be used in a hardware accelerator for accelerating neural network computations. An example NoC system may include a plurality of cores, and a plurality of data links connecting adjacent cores of the plurality of cores for transmitting data. The example NoC may further include a global synchronization switch connected to each of the plurality of cores. The global synchronization switch is configured to dynamically connect any pair of cores in the plurality of cores for transmitting control signals between the pair of cores.

The invention discloses a data link breakage data processing method, which aims at the problem of loss of return load information caused by instability of a data link in a flight platform, periodically detects a link communication state in real time, and stores received information in a memory in a classified manner when the link is interrupted. After the link is recovered, the information stored in the memory and the real-time data are respectively transmitted back to the ground according to the importance degree, so that the load information in the link breaking process is quickly retransmitted under the condition that no additional hardware device is added to the data link, the integrity of the transmitted back load information is ensured, and the problem of information loss in the traditional data link breaking period is solved.

The invention provides a multi-source heterogeneous data integrated management method based on a digital main line, a medium and a system, and belongs to the technical field of industrial digital main lines. A digital main line platform is used for collecting data of various formats and conducting standardization processing, a deep ontology fusion model is adopted for achieving cross-domain semantic understanding, and the data of various formats is obtained. Semantic understanding efficiency is improved through adaptive pooling feature dimensionality reduction and separable attention calculation, a storage space is optimized by adopting similarity aggregation de-duplication or a distributed independent storage strategy according to a data overlap ratio, and a digital principal line data consanguinity tracing relation is established to realize full-life-cycle data link construction. Based on the semantic mapping deviation value, a fine fine tuning or coarse tuning mode is adopted to optimize semantic understanding parameters, longitudinal integrated mapping from a function model to a performance model and a physical model and a transverse integrated framework of multi-domain comprehensive simulation are constructed, and the technical problem that cross-domain model semantic understanding accuracy is insufficient is solved.

A robot controller (110) comprising processing circuitry (111) and a simultaneous connectivity module (113). The processing circuitry is configured to execute an operating system (140) and to execute software applications (140) in the operating system. The software applications include a robot control application for controlling an industrial robot (120). The SCM is configured to maintain two or more simultaneous data links (131, 132) between the processing circuitry and external entities (121, 122). For this purpose, the SCM comprises two or more radio technology layers, each having a transceiver chain and a software stack for supporting the transceiver chain, and a shared processing resource, which is operable for use in the execution of the software stacks. The processing circuitry is authorized to control the execution of each of the software stacks in the SCM.

In one embodiment, a method includes obtaining, from a demand-side platform (DSP), impression data specifying service providers and consumer tokens representing consumers who have received digital impressions of a set of advertising campaigns. A set of tokenized claims data records related to a prescription of a product is then received from a database server. A result set of integrated measurement records specifying measured campaigns linking the tokenized claims data records with impression data associated with consumer tokens and / or service provider identifiers is further received from the database server. Aggregated analytics reports based on the integrated measurement records are generated and presented. A machine learning model may be trained using a training dataset comprising features selected from the impression data and tokenized claims data records, to predict bid values or other parameters for use in updating, optimizing or modifying operation of the DSP for the original campaign or for other campaigns.

Systems and methods are disclosed for clock phase calibration between source logic and a coupled serial data link transmitter, enabling low-latency synchronization into the transmitter. In calibration mode, a phase relationship is monitored between a first clock, driving the source logic, and a second clock, tightly synchronized with a serial clock of the data link. The first clock is adjusted to a first phase at which the first and second clocks are aligned. The first clock phase is set for operation mode based on the first phase. Monitoring uses a D-type flip-flop as a phase detector. Adjustment is in steps of half the serial clock period. Variations are disclosed.

The invention relates to the technical field of intelligent power grids, in particular to an electric power measurement data intelligent management and analysis system which comprises a time registration module, a path verification module, a behavior recognition module, an exception classification module and a permission desensitization module. According to the method, the consistency of a data acquisition time sequence is realized by utilizing dynamic alignment of measurement point signal features, the capabilities of voltage anomaly identification and path traceability between nodes are enhanced in combination with multi-measurement-point voltage change direction and connection relation analysis, peak valley feature extraction and behavior mode linkage are adopted, and the reliability of the system is improved. According to the method, the identification accuracy and the real-time performance of power consumption behavior abnormity are improved, characteristic classification and standard comparison of power abnormity events are used, automatic classification of abnormity types is more accurate, data type sensitivity and authority linkage is combined, multi-role data desensitization control is optimized, the information security risk in the data management process is reduced to a lower level, and the data management efficiency is improved. And full-flow data link closed loop and automatic management and control are realized.

The invention provides an intelligent civil aircraft separated emergency flight data storage system facing flight accident scenes. The system collects multi-source data such as flight parameters, audios, videos and data links, carries out preprocessing and semantic modeling on the multi-source data, and extracts multi-modal feature information; multi-modal features are fused based on a modal perception attention mechanism and a diagnosis feedback readjustment mechanism, and intelligent diagnosis of a current flight state is realized in combination with a semantic consistency discrimination mechanism. When the flight state is judged to be abnormal or accident, starting a satellite communication channel to carry out remote emergency transmission on key data; and when the flight state is judged to be normal, performing modular hierarchical storage on the acquired data according to the data type. And the separated emergency data transmission subsystem is immediately started under the extreme conditions of power failure of the main system and the like. According to the method, strategies such as multi-mode intelligent diagnosis and multi-level storage are fused, and the flight data acquisition efficiency and the flight safety guarantee capability are remarkably improved.

The invention discloses a parking path planning method and related equipment, and relates to the technical field of vehicle control, and the method comprises the steps: obtaining environment information of a target parking space and a parking starting point and a parking terminal point of a vehicle; constructing a grid map corresponding to the environment information; executing a mixed A * search algorithm in the grid map, performing node expansion on the parking starting point to form a grid index sequence, and storing node state information in the node expansion process in a data chain table according to a grid index corresponding to the node state information; and generating a target parking path from the parking starting point to the parking ending point based on the grid index sequence. According to the method, a node expansion and index linked list management mechanism based on mixed A * is introduced into the grid map, the feasible node state is completely reserved on the premise of meeting the vehicle motion constraint, the continuous, reliable and high-performability parking path can be generated, and the stability and success rate of parking path planning are improved.

Systems and methods are disclosed for phase calibration between clock and data lanes at a data link receiver. In calibration mode, matching signals are transmitted over the clock and data lanes, and a phase offset is measured at the receiver. A phase shifter in one signal path is adjusted to a first phase to obtain a desired phase offset. For operation mode, the phase shifter is set based on the first phase. Embodiments measure phase offset using an XOR gate and use a phase interpolator as the phase shifter. Embodiments with multiple data lanes apply coarse calibration to a shared clock lane relative to a first data lane, and similar fine calibration to other data lanes. Calibration provides optimum signal-to-noise ratio or timing margin, enabling high transmission speeds at relatively low power. Variations are disclosed.

The invention discloses a data link optimization method and device, equipment, a storage medium and a product, and relates to the technical field of data processing.The data link optimization method comprises the steps that original data containing a data link are obtained, the original data comprise data tables, the data tables have corresponding data table granularity, row association of the data tables is simplified, and the data table granularity is obtained; obtaining the simplest source table of each data table, the data table corresponding to the simplest source table and the data link associated with the row of the simplest source table being shortest. According to the method and the device, on the basis of the data table granularity of each data table in the data link, the line association of each table is simplified through the line data association limiting condition, and the simplest source table with the shortest link of the line association of each data table is obtained. That is, the optimization of the data link is not performed through the column relationship, but the row association between the tables is simplified through the limiting condition, and the row association relationship of the data tables is considered, so that the optimization effect of the data link is improved.

Systems and methods are disclosed for reduced-power serial data links. A clock-forwarded serial link carries a clock lane and one or more data lanes. Every active serial data cycle is accompanied by its own serial clock edge: a clock delay allows the same clock edge to drive data at a transmitter and latch data at a receiver. Power is saved by idling the serial clock when data is not being transmitted. A valid signal can be omitted, providing a space saving. At the destination, similar clock-forwarding and delay enables a single parallel clock edge to drive data to the boundary of its clock domain, e.g. from a deserializer to a FIFO. The data link exhibits zero-cycle entry and exit. Variations with half- or single-cycle entry or exit are disclosed.

A panel product and related systems and methods include a code directly or indirectly linked to data regarding one or more physical parameters and / or the manufacturing of the product or of the batch the product is taken from. The panel product involves a system and method for manufacturing such panel products, and a method for authenticating and / or tracking panel products with computer-traceable data linked to the code.

The invention discloses a construction method and device of an index data chain, a storage medium and an electronic device, and relates to the technical field of smart home, and the construction method of the index data chain comprises the following steps: determining a plurality of hierarchical demands in a software demand management system; configuring a unique identification code for each hierarchical demand in the plurality of hierarchical demands; based on the plurality of unique identification codes, constructing an index data chain among the plurality of hierarchical demands, the index data chain comprising demand nodes respectively corresponding to the plurality of hierarchical demands, embedding a unique identification code of a first hierarchical demand corresponding to a first demand node in a second demand node corresponding to the first demand node, the first demand node and the second demand node are any two adjacent demand nodes in the index data chain. By adopting the technical scheme, the problem that dynamic association among multi-level requirements cannot be realized in the related technology is solved.

This invention provides an automated testing device for UAV data links, including an industrial control computer, a display, a spectrum analyzer, a programmable DC power source, a programmable adjustable attenuator, a fixed attenuator I, a fixed attenuator II, a power divider I, a power divider II, an RF switch, a shielded box I, and a shielded box II. The software of the industrial control computer includes a system management module and an automated testing module. The advantages of this invention are: it uses general-purpose testing equipment, is based on a computer-automated program, and controls the settings of each testing device via a bus to simulate remote control, telemetry, image data transmission and reception, and bit error rate statistics; it achieves automated testing of core functional performance indicators of UAV data links such as power consumption, transmit power, spectrum, functionality, receiver sensitivity, bit error rate, and latency.

The present application provides a system that integrates BIM and IoT datasets into a digital twin platform, enabling real-time spatial monitoring, semantic referencing, and lifecycle management of building assets. The system includes a BIM interface module, an IFC conversion module, a preprocessing module, and a data linking module. The BIM interface module receives external data to generate or update a BIM model. The IFC conversion module converts the BIM model into an IFC-compatible format with a globally unique identifier. The preprocessing module performs model federation and data normalization, and includes subcomponents for performing geometric conversion to WebGL, semantic structuring, IoT spatial tagging, and floor tagging. The data linking module serializes the output information, uploads it to an object storage area, and registers access URLs and property mappings in the platform database.

Various embodiments relate generally to computer science, data science, software, and computer program and platform architectures, including providing an application comprising a processor, memory, one or more wireless radio communication devices, and an image capture device, extracting data representing an identifier of an item, forming a transaction associated with the item, linking the data representing the identifier to an account to form the transaction, identifying the item at a more merchant computing system, the merchant computing system being determined based on a geographic location, storing other data associated with the account, and retrieving the item at a physical location associated with the merchant computing system, the item being located and retrieved based on a signal transmitted from an adaptive distribution platform when the item is identified at the merchant computing system.

To provide an information processing device capable of encouraging users to use reusable cups. [Solution] An information processing device is provided that includes an acquisition unit that acquires data linked to a reusable cup used by a user, and an award unit that awards the user an incentive for using the reusable cup based on the data linked to the reusable cup acquired by the acquisition unit.

Aspects of the present disclosure relate to providing a shoppable video corpus by generating a shoppable URL. A URL is extracted from a video corpus, in which the extracted URL may be a long URL or a short URL. Extracted URLs are then combined and normalized. From the normalized URL, noise is removed and quality control is performed. As a result, shoppable URL may be presented at the user’s computing device as personal recommendation. The video and metadata of the cleaned URL is also ingested and stored in a database for future reference.

The environmental sensor data management unit (101) acquires environmental data regarding the air quality inside the building from environmental sensors installed inside the building. The data management unit (110) manages control scenario data (115) which is scenario data for controlling multiple types of equipment installed inside the building, and includes execution timing information, input data information, judgment condition information, and equipment control information. When the execution timing specified by the execution timing information arrives, the control scenario execution unit (104) controls the specified equipment according to the equipment control information, provided that the value of the environmental data specified by the input data information is within the range specified by the judgment condition information.

This application provides a signal communication method for a multi-dimensional domain of a data link, comprising: performing cross-domain correlation deconstruction on the data link's spatiotemporal-frequency multi-dimensional signal and error feature data under an electromagnetic environment to obtain the original spatiotemporal-frequency domain feature set; simultaneously integrating signal propagation characteristic data and error source attribute data to generate a multi-source correlation data cluster to generate a spatiotemporal-frequency multi-dimensional fused feature topology; constructing a multi-dimensional domain collaborative error-resistant model based on the spatiotemporal-frequency multi-dimensional fused feature topology; and performing dynamic weight allocation and error suppression strategy iterative optimization on the spatiotemporal-frequency domain error-resistant weight parameters and error suppression strategy parameters in conjunction with spatiotemporal-frequency domain resource adaptation rules to generate a multi-dimensional domain error-resistant control command; performing spatiotemporal-frequency collaborative optimization processing on the data link transmission signal according to the multi-dimensional domain error-resistant control command to obtain an error-resistant optimized signal; simultaneously collecting transmission quality data of the link feedback signal; and fine-tuning the multi-dimensional domain error-resistant control command parameters in reverse by the deviation between the transmission quality data and a preset quality threshold.

The invention relates to a unified power transfer tree and recursive energy distribution management over a data link. An electronic device includes internal circuitry, an upstream port, and one or more downstream ports. The upstream port may be connected to an upstream cable. The one or more downstream ports may be connected to respective one or more downstream cables. When the upstream port extracts upstream power from the upstream cable, the internal circuitry causes one or more downstream ports to inject transmittable power into the respective one or more downstream cables.

The invention discloses a multi-source data fusion implementation method for flight control, which is used for accurately navigating and controlling an aircraft, realizing high-precision navigation and control and enhancing the anti-interference capability of a system. According to the method, inertial navigation is adopted for high-precision navigation, GNSS data can be corrected, Kalman filtering is adopted for integrated navigation fusion, data chain data fusion is carried out on target object information in the middle flight stage, and visual information data fusion is carried out in the final flight stage. And finally, full-process information fusion coverage is realized.