1851 results about "Data records" patented technology

The invention discloses a process parameter tracing and quality collaborative management system for ceramic production, and relates to the technical field of ceramic production, the management system comprises a step of obtaining a plurality of process data and quality data in a ceramic production process, and each group of process data comprises a raw material ratio, a forming pressure, a firing temperature and a firing time. According to the process parameter tracing and quality collaborative management system for ceramic production, a specific process parameter deviation link can be quickly positioned by reversely tracing to a raw material source from a finished product quality problem and combining batch association identifiers and data records of all links; the quality problem solving efficiency is improved, and batch loss caused by traceability lag is avoided; besides, a process quality association relationship constructed by the module is established, a quality detection result is closely associated with process parameters, and multi-dimensional analysis is performed, so that a quality problem can be fed back to process parameter adjustment in time, and targeted measures can be taken according to an analysis result.

A coal mine risk early warning system based on big data analytics, the coal mine risk early warning system comprising: a data collection module, used for collecting data in real time during coal mine operation; a data storage module, configured to store historical data records collected by the data collection module; a data processing module, which uses big data analytics technology to process the stored data and identify potential risk factors; a risk assessment module, which assesses the risk level of coal mine operation on the basis of analysis results of the data processing module, there being three risk levels: low, medium, and high; and an early warning module, which sends an early warning signal to relevant personnel when the risk level reaches a preset threshold.

The invention discloses a CPLD-driven IGBT short-circuit current dynamic monitoring method and system, and relates to the technical field of power electronics, and the method comprises the specific steps of S100 real-time data acquisition, S200 dynamic threshold calculation, S300 short-circuit state judgment, S400 rapid protection execution, and S500 fault data recording and uploading. Accurate and prospective judgment of the short circuit state of the IGBT is achieved, two stress parameters including the direct-current bus voltage and the junction temperature serve as independent variables, when the bus voltage rises, the voltage stress borne by the IGBT in the turn-off period is increased, meanwhile, the current peak at the short circuit moment is more remarkable, early warning is conducted in advance by dynamically lowering the threshold value, and therefore the short circuit state of the IGBT is accurately judged. According to the mechanism, the monitoring system does not simply respond to the occurred overcurrent, but can pre-judge the safety boundary of the device under the current working condition, so that intervention is implemented before the current really reaches a dangerous peak value, and a protection blind area under a severe working condition is effectively avoided.

The invention relates to the technical field of equipment full-life-cycle management, in particular to an equipment full-life-cycle tracing and management and control system based on digital threads. Comprising a digital thread generation unit which is used for generating a dynamic digital thread penetrating through the whole life cycle of technical improvement purchasing, operation maintenance and decommissioning of equipment; a full life cycle data integration unit; and a business process management and control unit. According to the method, a dynamic digital thread which runs through the whole life cycle of technical improvement purchasing, operation overhaul and decommissioning of equipment is constructed, and a multi-dimensional data anchoring algorithm fused with weighted Bayesian estimation is combined, so that probabilistic association matching between heterogeneous physical data in each stage and a corresponding physical scene is realized; and a unique device identifier is bound to form dynamic association of physical state-data record-time node, so that the problems of fragmentation of data in the whole life cycle of the device and lack of association between the data and a physical scene in the prior art are solved.

The invention discloses a pedestrian behavior simulation operation control method based on an unreal engine. Efficient and vivid pedestrian behavior simulation is realized through five core modules: a three-dimensional scene construction module converts a BIM model based on an unreal engine Datasmith plug-in and constructs an interactive dynamic scene; the pedestrian model construction module defines multi-dimensional pedestrian attributes and supports data-driven initial distribution configuration; the hierarchical behavior control module realizes refined regulation and control of pedestrian behaviors through macroscopic path planning, microcosmic behavior decision and emotion driving; the dynamic resource optimization module adopts level-of-detail control and multi-thread task allocation to improve the operation efficiency of the system; and the real-time interaction and data analysis module provides scene regulation and control, data visualization and simulation data recording and playback functions. According to the method, the authenticity, the dynamic response capability and the controllability of pedestrian simulation are remarkably improved, and reliable technical support can be provided for traffic planning, emergency drilling and building design evaluation.

A system and method for querying, processing, and ranking governmental data across heterogeneous databases may include integrating large language models (LLMs) and multi-agent orchestration to enhance accuracy and mitigate bias. The system receives a natural language query, processes the query using an agent orchestration LLM to generate search query instructions, and executes specialized data record processing agents to retrieve data from diverse sources, including relational, vector, and graph databases. A plurality of candidate natural language responses is generated and validated by data verification LLMs based on relevance and accuracy metrics to reduce hallucinations. The system further employs cross-source validation, statistical and linguistic consistency analyses, and weighted scoring to refine responses, which may include textual summaries, tables, or downloadable files presented via a graphical user interface. Accordingly, the approach ensures precise and contextually relevant results, particularly for applications involving sensitive or regulated data such as legislative and governmental records.

Systems and methods for generating network data structures from local peripheral signals are disclosed. A system can receive image data from a capture device, where the image data includes a plurality of pixels. The system can determine that the plurality of pixels depict a visual representation of a first data record satisfying a predetermined criterion, the first data record corresponding to a set of data record parameters. The system can generate a set of data from the first data record using a subset of the plurality of pixels of the image data, and can transmit the set of data to at least one server, causing the server to identify a second data record based on the set of data record parameters. The system can present, via a graphical user interface, a content item representative of the second data record received from the server.

In various examples, a technique for generating simulation data includes generating, via one or more simulations, simulation data associated with operation of a first machine in an environment. The technique also includes determining a command to the first machine based at least on the simulation data and a goal associated with the first machine and updating the simulation data based at least on the command. The technique further includes storing the simulation data, the command, and the updated simulation data in one or more data records, and causing a second machine to perform one or more actions based at least on the one or more data records.

The invention relates to the technical field of data processing, in particular to an LLM-based multi-source heterogeneous data intelligent fusion and self-adaptive processing method, which comprises the following steps of: receiving multi-source heterogeneous data, matching character sequences of mailbox fields and identity card number fields in records one by one by adopting a preset regular expression model, according to a preset key value pair mapping dictionary, items are uniformly converted, data records which cannot pass format verification, type conversion and value domain mapping are marked as doubt, and data records which cannot be processed or are marked as suspicious are separated. According to the method, a hierarchical processing flow is constructed, and deterministic format verification, type conversion and value domain mapping are arranged at the front end of a processing link, so that most simple data quality problems can be quickly processed with low calculation overhead. Then, numeric statistics and character string comparison are used to carry out fuzzy correction on the data, and spelling errors and numeric abnormities which cannot be covered by rules are further solved.

The invention discloses a multi-wave chromatography and reflection combined detection method and device for a thin-covering-layer urban active fault and a medium. The method comprises the steps that longitudinal wave seismic data and transverse wave seismic data are collected; recording vertical component data based on the longitudinal wave seismic data for first arrival travel time pickup and tomography inversion to obtain a longitudinal wave velocity structure model Vp; extracting Rayleigh surface wave frequency dispersion through the vertical component data and carrying out multichannel surface wave analysis inversion to obtain a transverse wave velocity structure model Vs; calculating a longitudinal and transverse wave velocity ratio parameter structure model Vp / Vs, and calculating to obtain a Poisson's ratio parameter structure model v; obtaining a longitudinal wave (P wave) reflection profile and a transverse wave (S wave) reflection profile; identifying and summarizing into an interpretation fracture set Fc, and recording key elements; and by taking the interpretation fracture set Fc as a structural skeleton, completing unified registration and superposition display on Vp, Vs, Vp / Vs and v, a longitudinal wave reflection profile and a transverse wave reflection profile, and outputting a shallow underground structure comprehensive interpretation map of the thin covering layer region.

The invention discloses a CAN message priority dynamic arbitration method and system based on event triggering, and the method comprises the steps: obtaining a discrete sampling signal of a CAN node of an engineering vehicle and a state register value of a CAN controller, converting the discrete sampling signal into a working condition data sequence, and obtaining a bus load rate through the state register value; obtaining an event state sequence according to the working condition data sequence; all CAN messages to be sent are constructed into a message data record, and the message data record with event semantics and dynamic priority labels is obtained according to the protocol data unit and the event state sequence; and according to the bus load rate and the event state sequence, sending a message data record with event semantics and dynamic priority annotations by adopting a token bucket mechanism through a three-level priority queue linked with a three-state state machine. According to the invention, the security key message in the system can still be transmitted in time under high load, and the bandwidth occupation and delay jitter caused by the low-priority message are avoided at the same time.

The invention discloses a thyroid ultrasound image diagnosis method based on deep learning, and the method comprises the following steps: collecting a thyroid ultrasound original image set, and carrying out the preprocessing; performing focus segmentation on the standardized thyroid ultrasound image set; performing morphological constraint and boundary refinement; calculating the blood flow direction, blood flow velocity and blood flow power of each thyroid focus area and neighborhood; generating a preliminary fusion feature map based on a feature adaptive deep learning network, and fusing the preliminary fusion feature map with the thyroid focus blood flow feature vector set; obtaining a thyroid focus detection list through thyroid focus benign and malignant discrimination branches; and generating thyroid focus structured diagnosis data records based on the thyroid focus detection list, and writing the thyroid focus structured diagnosis data records into a computer-aided diagnosis system. According to the method, deep learning and multi-modal blood flow features are fused, intelligent diagnosis of the thyroid focus is achieved, and the method has the advantages of being high in precision, high in interference resistance and structured in result.

The invention discloses a simulation drill commanding and dispatching method and system based on multi-role cooperation. A simulation scene combining a static environment and a dynamic disaster model is constructed through a three-dimensional graphic engine. The distributed participants access the system through the communication network, and the role management module distributes role permissions of general commanders, directors, emergency groups and the like to the distributed participants. The guiding and dispatching personnel can set disaster parameters and inject emergencies, and the general command can check scene states in real time and issue command and dispatching instructions. And each group terminal executes virtual operations such as disaster disposal, evacuation guidance, first aid and public opinion control according to the instruction, calculates the influence in real time through a disaster model and synchronizes the influence to all the terminals. And the data recording module is used for collecting the whole process event, and generating a quantitative evaluation report and three-dimensional redisk content after the drilling is finished. Cross-region, multi-role, high-simulation and quantifiable emergency drilling is realized, and the problems of single role, weak interactivity and lack of evaluation ability of traditional drilling are effectively solved.

METHOD FOR DYNAMIC SECURITY ASSESSMENT OF STABILITY OF A POWER SYSTEM AND SYSTEM THEREOF The present disclosure relates to a computer-implemented method and system for providing a dynamic security assessment of stability of a power system comprising: receiving input data comprising an operational data record comprising OP-characterizing variables of the power system OP; applying the model to the OP-characterizing variables to obtain a stability classification. It is also disclosed a computer program product and a system configured to carry out the method herein disclosed.

The invention discloses a production control management system for ultrathin stones, which mainly realizes intelligent management and control of the whole production process of the ultrathin stones and solves the problems of unstable quality and low efficiency in traditional production. The system comprises eight core units, namely a process parameter configuration unit, a grinding control unit, a fusion layer formation control unit, a thickness monitoring unit, a standing curing monitoring unit, a quality detection unit, a data recording and tracing unit and a central control unit, and the units are electrically connected and coordinated to construct a whole-process closed-loop management and control system. The system adopts technologies such as an intelligent algorithm, deep learning, machine learning, image recognition and big data analysis. A process parameter configuration unit generates an adaptive scheme in combination with raw material fluctuation; the grinding and fusion layer control unit corrects equipment parameters in real time and detects abnormity; the thickness monitoring and standing curing unit accurately regulates and controls the thickness and the curing environment; the quality detection unit is used for realizing defect classification and performance pre-judgment; and the data recording and tracing unit is associated with the whole-process data through the unique identifier.

A system and method for verifying the authenticity of information associated with an entity and communicating the verification status of the information across a network. The system facilitates the receipt of data relating to information associated with an entity so that a corresponding data record can be created and stored in memory. A visually perceptible element, which corresponds to the verification status of the data record, is associated with the data record so that the visually perceptible element can be displayed to a requesting computing device to communicate the verification status of the data record. If the verification status of the data record is changed, the visually perceptible element associated with the data record is changed to reflect the new verification status which is automatically changed for any requesting computing devices so that the new verification status is communicated to the public from any platform displaying the visually perceptible element.

The invention provides a visual form construction method, which comprises the following steps: receiving user form operation data, carrying out business logic calculation, state change control and inter-service coordination operation on the user form operation data based on domain-driven design, and generating domain events, state data and service governance data. Domain events and state data are recorded to an event storage system, a query optimization view is constructed, event logs and query view data are generated, and dual optimization of data persistence and query efficiency is ensured. According to a preset security policy rule, real-time security monitoring is performed on the service governance data, a system health state index and security audit data are generated, and a system-level observability and security protection mechanism is established. And performing interface rendering and synthesis based on the event log, the query view data, the system health state index and the security audit data to generate a user interactive form interface. Through fusion processing of multi-source data, deep integration of interface rendering and security policies is realized.

The invention discloses an asynchronous processing method and device for business process data, and belongs to a distributed system data processing technology, and the method comprises the following steps: S101, receiving a business request message, and persistently storing the business request message in a main message queue; s102, acquiring a to-be-processed message from the main message queue, and locking an associated target data record before executing processing; s103, verifying data consistency based on the version number recorded by the target data, if the version number is matched, executing processing and updating the version number, and otherwise, discarding the message; s104, after successful processing, sending a confirmation instruction deletion message to the main message queue; through persistent storage of the main message queue, a version number verification mechanism and management of the dead message queue, the problem of data inconsistency caused by concurrent operation is effectively prevented, reliable transmission of messages is ensured, loss of service data is avoided, dead message processing efficiency is optimized, and the method has the advantages of ensuring data consistency, preventing message loss and improving system reliability.

The invention provides an impact deformation feature extraction method based on high-speed camera shooting and image processing, and the method comprises the steps: collecting the transient deformation data of the edge package of a remote controller housing under impact through high-speed camera shooting, recording the change speed of a strain rate, obtaining the material characteristics, the size of a package structure, and the geometric discontinuous features of an opening and closing part, generating continuous frame sequence images; performing strain field data quantification processing on the third visualization result, extracting strain field characteristic data, and judging influence weights of stress wave reflection on strain fields of different functional areas of the shell in combination with a falling height and an impact angle of the remote controller; and improving edge packaging design parameters according to the deformation buffer effect and discontinuous quantitative indexes at the opening and closing positions, verifying the improvement amplitude of the deformation buffer effect, and obtaining strain field distribution data of the optimized shell.

A system and method for data compaction and encryption of anonymized data records. A dataset may be pre-processed by dividing into sourceblocks at reasonable intervals and tallying each sourceblock's frequency, creating a tally record of tokens and count values. This tally record may then be anonymized and transmitted to a data deconstruction engine which combined with a library manager creates a codebook and performs optimization techniques on the codebook. The data deconstruction engine and library manager may be distributed across multiple nodes or devices. The received anonymized tally record may be parsed into individual tokens by identifying the tokens with the highest count value. The tokens may then be sent descending order of count value to the library manger where each token may be assigned a codeword. A half-backed codebook is then created using the tokens and each token's unique codeword, before sending the half-backed codebook to a system user.

The invention is applicable to the field of exhaust control, and discloses an exhaust control method, system and device and a medium, the method comprises the following steps: acquiring exhaust operation state data to obtain a historical data set; a predicted pressure value is obtained by combining the historical data set with the weighting factor and adopting a weighted moving average prediction model; obtaining a predicted pressure change rate through the predicted pressure value, and comparing the predicted pressure change rate with a preset threshold value to obtain an exhaust triggering condition; on the basis that the exhaust triggering condition is met, exhaust parameters are generated through a digital twin simulation model, and exhaust is executed according to the exhaust parameters; based on the pressure value and the sealing state in the exhaust process, the exhaust state is judged in combination with the recovery threshold value, and an execution instruction is obtained; and exhaust abnormity detection is carried out based on the execution instruction to complete exhaust control, the process safety is guaranteed, whole-process data are recorded and uploaded, an exhaust closed loop is realized, and the accuracy, stability and safety of exhaust control are improved.

The invention discloses an ultrahigh-frequency radio frequency tableware batch identification and transaction control system based on artificial intelligence, and the system comprises a tableware radio frequency tag module which is used for embedding an ultrahigh-frequency RFID tag in a tableware body; the radio frequency reading and signal acquisition module is used for outputting structured data records; the artificial intelligence identification and error correction module is used for generating a credible tableware identifier set and a state feature set; the array antenna control module is used for dynamically adjusting a beam direction angle and a transmitting power parameter value of the array antenna; the edge computing transaction processing module is used for inputting the trusted tableware identifier set into an edge computing transaction processing flow and executing repeated charging risk verification; the payment control module is used for returning a payment result; and the background management and tracking module is used for generating operation statistics and abnormal record entries. The system has high-precision tableware identification, low-delay settlement and abnormity prevention and control capabilities, and is suitable for automatic identification and intelligent settlement management of batch tableware in a catering scene.

The invention discloses a truss robot rehearsal control method based on digital twinning, and the method comprises the following steps: S1, constructing a truss robot digital twinning system, including constructing a truss robot virtual scene and constraint, performing data synchronization and bidirectional communication, and configuring a safety rule base and a data recording / playback interface at a twinning end; s2, rehearsing a task to be executed, generating a reference trajectory and a constraint set, and automatically checking the rehearsing process according to the safety rule base to obtain the reference trajectory and the constraint set which pass the rehearsing; and S3, performing parameterized predictive control and real-time tracking on the rehearsed reference trajectory and the constraint set, and controlling a trajectory tracking error to be within a tolerance range. According to the method, a digital twin system corresponding to the physical world is constructed, Laguerre function parameterized model predictive control is introduced to realize low-dimensional rapid solution, high-precision, reproducible and high-reliability rehearsal control of the truss robot is realized, and the field debugging and operation and maintenance cost is remarkably reduced.

The invention discloses a distributed file backup method for a sonar database system, which belongs to the technical field of sonar data processing and comprises the following steps: acquiring file data containing underwater acoustic signal data from the sonar database system; fragmenting the file data to generate data blocks and dynamically adjusting the sizes of the data blocks; generating a unique identifier for the data block based on the content hash value and the metadata; selecting distributed storage nodes based on availability, storage capacity, network delay and geographical distribution factors; the transmission data block uses an encryption protocol; updating the storage position and state of the backup metadata record; periodically verifying the integrity and availability of the backup data; executing a data recovery process to recover the original file data; the dynamically adjusted backup policy is based on real-time operation requirements and data importance levels. According to the method, through distributed storage and dynamic optimization, the backup efficiency, the data security and the system reliability are improved, and the method is suitable for sonar data management in an underwater detection system.

The invention relates to the technical field of medical image processing, in particular to an enterostomy mucous membrane state evaluation system based on color comparison, which comprises a multi-modal data acquisition module used for acquiring and analyzing a mucous membrane image sequence, ambient light characteristics and basic physiological data and generating acquisition data records with aligned timestamps; and the individualized benchmark modeling module is used for establishing a patient specific color reference benchmark through HSL color space analysis on the basis of the collected data records and the preoperative physiological indexes, and generating an initial adaptive color gamut threshold model. According to the method, the specific initial color reference is established for each patient, and the sliding window algorithm is combined to continuously monitor the color gamut drift so as to dynamically update the reference, so that accurate self-adaption to individual physiological differences of the patients and postoperative slow recovery changes is realized, and therefore, the objectivity and accuracy of evaluation are greatly improved; the problem of misjudgment caused by individual differences or normal evolution of physiological states in a traditional fixed threshold value method is effectively avoided.

The invention is applied to the technical field of dangerous chemical safety management, and discloses an intelligent traceability method for dangerous chemical full life cycle management, which comprises the following steps: S1, production link data acquisition and identification binding; s2, warehousing link environment and inventory monitoring; s3, carrying out transportation link state and trajectory tracking; s4, taking the record in the use link; s5, waste disposal link data recording and evidence storage; and S6, whole-process data evidence storage, analysis and application. According to the intelligent traceability method for full-life-cycle management of the hazardous chemical substances, the hazardous chemical substance basic information and the production equipment operation data are automatically input through the terminal device integrating the bar code / RFID generation module, the hazardous chemical substance basic information input module and the production equipment state sensor, so that the problems of low efficiency and high error of manual recording are avoided, and the production efficiency is improved. Meanwhile, a unique RFID code is generated in real time and bound, and data are automatically collected through corresponding sensors and intelligent equipment in the links of storage, transportation, use, waste disposal and the like.

Techniques for signing internet data are disclosed. The techniques include accessing a plurality of internet data records. The techniques also include generating, using at least one electronic processor, leaf nodes from the plurality of internet data records, and constructing a recursive hash tree from the plurality of leaf nodes. The techniques also include deriving information sufficient to validate the root node, and publishing, in an internet public key infrastructure (PKI) as a synthesized public key, the information sufficient to validate the root node. The techniques also include providing, through the internet and as a signature on at least one of the plurality of internet data records, validation data including sibling path data from the recursive hash tree, such that an internet client validates the at least one of the internet data records using at least the validation data and the synthesized public key.

The invention discloses a metering inspection platform and method, and the method comprises the following steps: carrying out the extraction of communication parameters and function information of metering equipment, building a unified data model, distributing a unique identifier, and achieving the automatic access of different types of equipment. The platform automatically generates an adaptive inspection flow path according to equipment functions and inspection requirements, can temporarily cache and collect data when a network is abnormal in a flow execution process, and adds a timestamp and verification information to the data. And after the network is recovered, the system compares and verifies the cached data, updates the process state after ensuring the data consistency, records and archives the effective data, and generates a traceable record entry. According to the invention, the access flexibility of the metering equipment is improved, and automatic construction of a process and reliable transmission and storage of data are supported.

The invention relates to the technical field of aluminum oxide production, and provides an evaporation station intelligent optimization system based on multivariable coupling regulation, which comprises a DCS (Distributed Control System) lifting module used for optimizing a control strategy and hardware support; the intelligent optimization control module is used for realizing multivariable coupling regulation and control; the data storage and analysis module is used for historical data recording and process analysis; the execution module is used for receiving the control instruction and driving field equipment; the DCS control system lifting module, the intelligent optimization control module and the data storage and analysis module are in bidirectional communication connection in sequence, and the intelligent optimization control module is in unidirectional communication connection with the execution module. Through multivariable coupling regulation and an intelligent algorithm, mother liquor discharging index fluctuation is stabilized, and the operation qualification rate and the alkali circulation efficiency are improved; steam consumption matching is optimized, and energy conservation and consumption reduction are achieved; variable fluctuation chain reaction is reduced, and abnormal response time is shortened; automation of key procedures is promoted, and manual errors are reduced.

The embodiment of the invention provides an auxiliary calibration method of a two-dimensional vision camera, and the method comprises the steps: starting a conveying belt, recording an initial value of a motor encoder, and guaranteeing the accuracy of data recording; the calibration plate is moved to the preset position associated with the industrial robot, and the workbench plane calibration is performed according to the numerical value change condition of the motor encoder, so that the installation inclination error of the workbench can be effectively compensated, and the calibration precision is improved; the industrial robot is controlled to move to the position above a nine-point grid in sequence at the following position of the calibration plate, physical coordinates are recorded, a mapping relation is established in combination with pixel coordinates shot by a camera, a conversion matrix is determined, automatic conversion between a robot coordinate system and a camera coordinate system is achieved, and calibration efficiency and consistency are remarkably improved; the passive electromagnetic calibration needle is matched with the calibration plate with the built-in two-dimensional electrified wire grid, and high-precision positioning is realized by utilizing an electromagnetic induction principle, so that the complexity and the cost of the system are reduced, and meanwhile, the reliability and the repeatability of the calibration process are ensured.