119results about How to "Realize traceability" patented technology

The invention provides a power grid energy disturbance suppression method for electric heating gas state information transmission collaboration, and relates to the technical field of information, and the method comprises the steps: obtaining multi-source heterogeneous state information of an electric heating gas energy network; aiming at the multi-source heterogeneous state information, dynamically converting a heterogeneous communication protocol into a unified protocol format by adopting a self-adaptive communication protocol conversion technology; and for the decoupled state information, parallel processing is carried out by adopting a distributed stream computing framework, so that the real-time performance and expandability of state information processing are improved. A distributed stream computing framework is adopted to construct an efficient processing assembly line, the block chain technology is utilized to guarantee the integrity and reliability of data transmission, a deep learning algorithm is applied to construct an intelligent analysis model, a multi-energy-flow coupling relationship and an evolution law are mined, and a multi-energy-flow analysis result is obtained. According to the method, data processing results of all links are fused to form a global state information view, decision support is provided for power grid energy disturbance suppression, and efficient processing, analysis and visualization of the state information of the electric heating gas multi-energy flow system are achieved.

The invention provides a green power consumption classification accounting and right tracing method and system of a multi-dimensional account, and relates to the technical field of power, and the method comprises the steps: generating green power transaction matching data through collecting power utilization data and power generation plan data in real time; constructing a distributed account book node network, verifying the matched data, and generating a green power transaction block; and constructing a green power right traceability model based on the transaction block, calculating a green power consumption weight coefficient of the power consumption enterprise, and generating a green power consumption level and a right certificate. According to the invention, precise accounting and right traceability of green power consumption are realized, and the energy management efficiency is improved.

The invention discloses an intelligent online monitoring device for a transformer, and relates to the technical field of transformers. The intelligent on-line monitoring device for the transformer comprises a front-end acquisition layer, a data transmission layer, a data processing and analysis layer, a cloud monitoring and management layer and an emergency response layer, through the deployment of the high-precision sensor network and the edge computing nodes, the system can accurately collect and process the operation data of the transformer in real time, and the monitoring accuracy and efficiency are improved. And secondly, the data transmission layer adopts a self-adaptive communication protocol and a data encryption technology, so that real-time and reliable transmission and security protection of the data are ensured, and meanwhile, traceability and tampering prevention of the data are realized by utilizing a block chain technology. In the data processing and analysis layer, the system realizes intelligent early warning and continuous optimization of transformer data through an integrated learning and deep learning model, and improves the accuracy and reliability of early warning. And the emergency response layer is arranged, so that the system can quickly respond to faults.

The invention provides a test system and method for calibrating high-power large-current parameters, and belongs to the technical field of power electronic component testing and metering, and the system comprises a high-power large-current standard device, a standard current sensor and a high-speed data acquisition unit. The high-power large-current standard device is used for providing high-power large current for the load to be tested; and the standard current sensor and the high-speed data acquisition unit are used for calibrating the large current of the high-power large-current standard device. The high-power large-current parameter traceability is realized, and the high-power large-current parameter quantity value is ensured to be accurate and reliable.

The invention discloses a full life cycle quality monitoring system, and relates to the technical field of quality monitoring, the system comprises a network modeling module, a life cycle management module and a display feedback module, and the life cycle management module comprises a process monitoring unit, a quality inspection determination unit and a tracing unit; according to the technical key points, a full-life-cycle monitoring platform is established, a block chain network is established through a production node, a quality inspection node and a buffer node by combining a block chain technology and a monitoring knowledge base, corresponding calling interfaces are provided among the nodes, and a judgment function and an evaluation function in a contract are determined based on a process to execute quality evaluation analysis. Designing a first classification model and a second classification model to accurately classify feature analysis of each process, and judging whether the production line executes a defect management mechanism or not based on a quality inspection planning contract; seamless connection of data among the processes is realized through a plurality of intelligent contracts, so that monitoring and tracing of information of the subsequent processes are facilitated.

The invention discloses a knowledge base AI original text accurate reading device containing a DLF dynamic layout file. A data acquisition offline module sets an acquisition website and offline webpages according to the hierarchical relationship of the webpages; the DLF file generation module is used for converting each offline webpage file into an OFD file and assembling a plurality of webpages into a dynamic layout DLF file according to a hierarchical relationship, the content extraction knowledge base storage module is used for extracting content information in each individual webpage and generating a file queue according to the extracted content information, the generated file queue is pushed to the inference model, and the dynamic layout DLF file is obtained. Forming a knowledge base containing the DLF file; the AI reasoning module performs logical reasoning on the input problem and returns a result; the traceability interpretation module is matched with an associated DLF file according to the obtained return data; and the combination comparison module compares and checks multiple page areas of different DLF files at the same time, so that AI original text tracing of various types of files is realized.

The invention provides a laser interference measurement precision traceability system and method. The system comprises an atomic clock, a femtosecond optical frequency comb, a spectrum spreading and frequency doubling module, a beat frequency module and a traceability processing module. The repetition frequency of a spectrum output by a femtosecond optical frequency comb and the frequency reference of an atomic clock are locked, frequency beating is carried out on a femtosecond laser spectrum and an interference measurement light source through spectrum broadening, optical frequency doubling and frequency beating detection, and traceability comparison is carried out on an obtained frequency beating signal and laser interference measurement data. The measurement precision of the to-be-measured laser interferometer is traced to the atomic clock frequency reference, and the traceability of laser interference measurement data is realized. Compared with the prior art, the laser interference measurement precision traceability system measures the wavelength by using the atomic clock frequency reference, has higher precision and resolution, and can realize on-site traceability of laser interference measurement data precision. And through precision traceability, the precision and stability of laser interference measurement are also improved.

The invention provides a new energy construction small target full-link safety management and control method based on cross-view feature collaboration and a dynamic anti-interference closed loop, and relates to the field of new energy construction safety management, and the method comprises the steps: S1, deploying a plurality of heterogeneous sensing devices, and collecting the multi-source data of a small target in a construction region; s2, unifying small target features of different visual angles to a global coordinate system of a construction area through coordinate mapping and feature decomposition fusion according to the multi-source data collected in the step S1, and outputting an aligned small target feature map; and S3, adaptively performing multi-scale feature enhancement and lightweight processing according to the aligned small target feature map output in the step S2 and the scale and texture characteristics of the small target, and outputting an initial recognition result of the small target. Small construction targets such as bolts and buckles can be accurately identified, the cross-view space-time dislocation problem of multi-source equipment is solved, dynamic illumination and equipment vibration interference is inhibited, and full-link management and control from data acquisition, feature enhancement and precision calibration to rectification closed loop is realized.

The invention discloses a coal transportation and management method combined with an internet of things technology, which collects key data in a coal transportation process in real time through a multi-layer sensor network, and enhances the stability and continuity of data transmission by using edge calculation and an adaptive network technology. Meanwhile, intelligent data processing and prediction are carried out in combination with big data analysis and a machine learning model, graded early warning feedback and control measures are provided, and the transparency of transportation management is improved. Besides, the scheme also supports environmental protection monitoring and low-carbon management, data tracing and management are realized, the real-time monitoring capability, the data transmission stability, the emergency response speed and the environmental protection management level of coal transportation are remarkably improved, and the problems existing in traditional coal transportation management are effectively solved.

The invention discloses a document bidirectional tracing method and related devices.The method comprises the steps that a first task and a second task which have a bidirectional tracing relation are obtained, the first task comprises a plurality of first documents, and the second task comprises a plurality of second documents; obtaining a traceability identifier in each first document, matching each traceability identifier with the plurality of second documents, determining at least one second document corresponding to each first document, and taking a relationship between each first document and the corresponding at least one second document as a first traceability relationship; based on each first document and at least one second document corresponding to each first document, determining at least one first document corresponding to each second document, and taking a relationship between each second document and the corresponding at least one first document as a second tracing relationship; and generating a bidirectional tracing list based on the first tracing relation and the second tracing relation. Therefore, the efficiency of bidirectional tracing is improved, and the accuracy of bidirectional tracing is improved.

The invention provides an excitation amplitude automatic closed-loop control system and method for a DLCP test. The system comprises a multi-frequency alternating current excitation and direct current bias voltage applying module which is used for automatically applying alternating current excitation signals and direct current bias voltage signals according to a preset excitation amplitude sequence under a plurality of test frequencies; the PID closed-loop control module is used for performing closed-loop correction on the applied voltage according to the response of the test port of the tested semiconductor device, so that the condition of the applied voltage at the test port meets a preset requirement; the capacitance measurement module is used for acquiring an equivalent capacitance response signal of the tested semiconductor device; the capacitance test data caching module is used for performing associated marking and classified caching on the capacitance test data according to the test frequency, the excitation level and the bias voltage set point; and the main control module is used for coordinating automatic test processes under the conditions of a plurality of test frequencies and different excitation amplitudes and outputting corresponding capacitance test data so as to improve the consistency, stability and automation degree of the DLCP test.

The invention provides a psychological health abnormity reason tracing method and system based on a social behavior complex network, and the method comprises the following steps: obtaining user social network data, and carrying out the preprocessing of the user social network data; constructing a user social behavior complex network based on the interaction relationship between the users; evaluating the current mental health state of the user based on the social network data of the user; performing anomaly detection according to an evaluation result, and performing reason tracing through the user social behavior complex network; and providing mental health intervention suggestions according to the abnormal detection result and the traceability result. According to the method, information can be effectively extracted from massive, complex and multi-dimensional social data, so that accurate evaluation of individual mental health states and tracing of abnormal reasons are realized.

The invention provides a window caching device and method for data frames, which are applied to network flow analysis, and comprises a window used for managing the life cycle of the data frames, and marking the data frames in the window as valid for analysis and reference; the two-way data transmission queue comprises a sending queue and a recycling queue, the production end collects data frames and stores the data frames in a usable container, and after a window value is distributed to the container, the window value is transmitted to the consumption end through the sending queue; and the consumption end receives the data frame and submits the data frame to the window for management, and when the window value corresponding to the container is not in the window, the container occupied by the data frame is released and transmitted to the production end through the recovery queue. According to the method, the memory of the data frame is fully utilized, the data copying frequency of the byte content of the data frame is reduced to the minimum, finally, the system overhead can be reduced, and the overall system performance is improved; traceability and application of certain historical data can be realized, and certain traceability services are solved; the input rate of data frames may also be controlled.

The invention provides a whole-process real-time monitoring and auxiliary decision-making method and system for digital twin additive manufacturing. The method comprises the steps that S1, data of equipment to be detected are collected; the to-be-tested equipment comprises robot polishing equipment, five-axis numerical control machining equipment and additive printing equipment; s2, processing the data of the equipment to be tested by using different types of data platforms; s3, data monitoring of the whole additive manufacturing process is completed based on the processing result; and S4, analyzing the processing result, and optimizing the monitoring process. According to the invention, through rapid modeling and data acquisition and fusion, a digital twin system oriented to the whole process of digital twin additive manufacturing is formed based on intelligent management and control and multi-system production data fusion; and the functions of equipment information checking, equipment state monitoring, equipment abnormity warning and equipment decision assisting are achieved for the three stages of printing, machining and grinding and polishing, and good practicability is achieved.

The invention discloses a multi-level system interface design and management method based on a SysML language, and the interface design method comprises the steps: 1, in a conceptual design stage, designing a use scene of system operation by adopting the SysML language, and defining an external interface of a system based on an interaction behavior of the system and an external environment in the use scene; step 2, in the logic design stage, defining components in the system, logic interfaces among the components and interface transmission from an external interface of the system to the components by adopting an SysML language; and step 3, in a physical design stage, defining physical interfaces among the components in the equipment layer to express a physical implementation mode of logic interfaces among the equipment. According to the technical scheme, the problems that in traditional system engineering, in a document-based interface definition mode, due to the fact that the consistency of the interfaces can only be guaranteed through manpower, design errors are introduced, and due to an interface management mode, due to the fact that a corresponding N2 graph needs to be established in each system level, the design errors are caused possibly are solved. And unified management of interfaces is not facilitated, and errors are easily introduced in a transmission process.

In order to solve the traceability problem of the LNG filling machine calibrating device, the utility model discloses a mass real flow calibration system for the LNG filling machine calibrating device, which is used for calibrating the LNG filling machine calibrating device. The system comprises an LNG filling machine, an LNG filling machine calibrating device and an LNG storage tank which are connected in sequence, and the LNG filling machine calibrating device comprises a calibrating mass flow meter used for detecting the accumulated mass flow value in a pipeline; a high-precision mass sensor is installed in the LNG storage tank and used for detecting the accumulated mass flow value of the LNG storage tank. By recording the accumulated mass flow value output by the calibration mass flowmeter and the accumulated mass flow value output by the high-precision mass sensor within the same time and comparing the accumulated mass flow value with the accumulated mass flow value, the error of the LNG filling machine calibration device can be determined.

The invention relates to a data transaction security and privacy protection method based on a zero-knowledge proof smart contract. The method comprises the following steps: initializing block chain parameters; the seller and the purchaser register privacy identities with the credible supervision mechanism; a seller generates an ownership relationship of data to be sold and a zero-knowledge proof of a data ownership proof contract, links {alpha, # imgabs0 # T1, sign1}, and obtains an address on the link; the seller generates a zero-knowledge proof for preventing the machinability attack contract, verifies the zero-knowledge proof according to the uplink information, and releases information of the data to be sold after the zero-knowledge proof passes the verification; the method comprises the following steps: a purchaser requests purchase data from a seller, the purchaser generates a zero-knowledge proof of a data ownership privacy transfer proof contract according to a new ownership relationship calculated by the seller, verifies the zero-knowledge proof, obtains a ciphertext storage address of the purchase data, and links {alpha, # imgabs1 # T2, AddrMnew, add and sign2}. The method has better security and privacy characteristics.

The invention belongs to the technical field of microbiological detection, and particularly relates to a primer group, a kit and a method for detecting a coxsackie virus group A type 6 virus whole genome and application. A set of specific primer group aiming at CV-A6 whole genome sequence amplification is designed, aiming at different CV-A6 strains (different regions and different separation time), the super-multiplex PCR amplification can be realized, the whole genome sequence is further captured, the pathogen capture can be quickly realized at low cost in disease outbreak and epidemic periods, and the primer group has good practical value.

The invention provides a gastric cancer risk detection device based on a big data analysis technology, and relates to the field of medical treatment. The gastric cancer disease risk detection device based on the big data analysis technology comprises a data acquisition module which comprises multi-modal data acquisition including genome data, metabolome data, iconography data, environmental data and electronic health records, and is used for acquiring genome data of a user, especially gene mutation related to gastric cancer, and detecting the risk of the gastric cancer disease according to the genome data, the metabolome data, the iconography data, the environmental data and the electronic health records. The method comprises the following steps of: acquiring a plurality of health records of a patient, performing gene data acquisition by using gene sequencing equipment, transmitting metabolome data into a system, associating the metabolome data with other health data of the user, uploading the metabolome data to the system through a network, and acquiring medical record data of the patient from medical records of a hospital, including past medical histories, family medical histories, medication records and the like, by using the electronic health records. By arranging the data acquisition module, the accuracy of gastric cancer risk assessment is improved, and by arranging the data storage module, safe sharing and traceability of data are realized, and the authenticity and reliability of the data are ensured.

The invention discloses a fleet behavior prediction method based on a potential function and a Bayesian network and a medium. The fleet behavior prediction method comprises the following steps: establishing a topological relation of an unmanned aerial vehicle fleet; constructing an unmanned aerial vehicle potential energy field function and external regulation and control force; setting an adaptive obstacle avoidance distance, and establishing collision avoidance constraints, planning track continuity constraints and dynamics feasibility constraints; dividing the cluster by using a K-means algorithm; constructing a dynamic Bayesian network, and predicting a cluster behavior; setting a behavior prior probability; preprocessing the data to obtain required information; dynamically adjusting the weight of each behavior probability; and updating and normalizing the behavior probability. According to the method, cluster division and behavior identification results can be given under discrete data input (single moment) and continuous data input (multi-moment) conditions, good convergence time and stability are achieved, the requirement for stable output of a behavior identification algorithm in a flight scene is met, and meanwhile the behavior identification efficiency is improved. And algorithm identification results in a specific flight scene can be traced.

The invention belongs to the technical field of automatic machining, and discloses machining equipment facilitating die-casting information traceability, which comprises a rack, a feeding servo sliding table is mounted at the input end of the rack, a feeding tray is mounted on the feeding servo sliding table, a discharging servo sliding table is mounted at the output end of the rack, and a discharging tray is mounted on the discharging servo sliding table; the rack is provided with a displacement mechanism, and the displacement mechanism is provided with an upright lathe mechanism and an inverted lathe mechanism; a feeding clamp and an upright turning tool tower are installed at the output end of the upright turning mechanism, the upright turning tool tower is installed beside the feeding clamp, and an inverted turning clamp is installed at the output end of the inverted turning mechanism. A vertical lathe clamp and an inverted lathe tool tower are installed at the position, between the feeding servo sliding table and the discharging servo sliding table, of the rack. The invention discloses a processing technology facilitating die casting information tracing. The processing technology comprises the following steps that S1, feeding is conducted; s2, machining an outer circle; s3, inner circle machining; s4, blanking is carried out; and S5, coding.

The application provides an automatic system and an assembling method of double-line supply integrated assembly, which comprises a first supply line and a second supply line, the first supply line and the second supply line are collected to a positioning assembly output line through a robot taking materials, the first supply line comprises a multi-axis running feeding machine and a secondary positioning platform in sequence, the second supply line comprises a flying feeder, an adsorption material taking device, a clamping material taking device, a point laser height measuring instrument and an upper visual positioning scanning module are arranged on an execution end of the robot, the positioning assembly output line comprises a lower visual positioning module and a product circulation mechanism in sequence, a positioning installation station is arranged on the product circulation mechanism, a material positioning module and a material blocking module are arranged at the positioning installation station, and the execution end of the robot is matched with the flying feeder, the secondary positioning platform, the lower visual positioning module and the positioning installation station in sequence. Through the double-line supply cooperation, multi-stage visual positioning and full-process automation design, the efficiency bottleneck and the precision problem in the assembly of special-shaped parts are effectively solved.

The invention discloses a multi-mode flexible intra-abdominal pressure measuring device and method based on AI, and belongs to the technical field of medical monitoring. The device comprises a flexible wearable carrier, a multi-mode sensor module, a signal conditioning and intelligent wireless transmission module and a data processing module, the flexible wearable carrier is provided with an adjustable fixing assembly and a positioning identifier; the multi-modal sensor module integrates various sensors of pressure, stress strain, sound, acceleration and oxyhemoglobin saturation infrared light, and synchronously collects multi-dimensional physiological signals; the data processing module is provided with an AI algorithm, dynamic scene recognition, self-adaptive weight fusion and individual difference compensation can be achieved, and an intra-abdominal pressure measurement value is obtained through calculation. Non-invasive, real-time and high-precision continuous monitoring of the intra-abdominal pressure is achieved, the clinical measurement error is small, the system is suitable for ICU, postoperative rehabilitation, home management and other scenes, infants and old people are covered, and the comfort, accuracy and clinical efficiency of intra-abdominal pressure monitoring are greatly improved.

The application discloses an automatic riveting device and method for a launch engine nozzle cover, and belongs to the technical field of engine nozzles. The device comprises a riveting base, an X / Y module, a first rotating platform, a riveting positioning tool, a rotating cylinder, a stand, a Z-axis module, a second rotating platform, a precise force control push rod and a riveting head. The nozzle seat is arranged on the riveting positioning tool, and one nozzle cover to be riveted is arranged on each supporting column of the riveting positioning tool. The automatic riveting method is adopted, a plurality of launch engine nozzle covers can be riveted at one time, the working efficiency is greatly improved, and the speed, the pressure, the stroke and other parameters can be adjusted, and the riveting quality consistency of the nozzle cover is improved.

The application discloses a document management method, device, equipment and medium, and is used for realizing tracing. The method comprises the following steps: determining the identification of a document to be managed; determining a macro program of the document, wherein the macro program comprises the identification of the document; obtaining a document object based on the macro program and the document, wherein the document object comprises the document and the macro program; wherein the macro program in the document object is used for collecting information of any device when the document object is opened on any device; sending the document object to a first device; and receiving the identification of the document and the information of the first device sent by the document object on the first device. In the embodiment of the application, the macro program is injected into the document, the macro program can collect the information of any device when the document is opened on any device, and the information is sent to the document management service; the document management service can know which devices open the document, and the tracing can be realized.

This invention provides a method and apparatus for splitting single-cell mixed sample sequencing data, relating to the field of biotechnology. The splitting method includes: capturing and sequencing single-cell suspensions using a single-cell platform; then performing reference genome alignment, cell identification, and gene expression level quantification on the sequencing data using Cellranger; splitting the cell data identified in step a into two groups of cell data for different sexes based on SNP locus information from the 1000 Genomes Project; and distinguishing the two groups of cell data from male or female samples based on the proportion of sex-specific genes expressed in the two groups of cell data. This splitting method eliminates the need for additional experimental operations such as protein labeling and genome sequencing, and can provide accurate and reliable data splitting even when individual SNP information is unavailable.

The embodiment of the present application discloses a method, device, storage medium and equipment for verifying the authenticity of an item. The method includes: in response to the current user's item verification request, sending item verification information to the current user's device based on the first authentication text of the item and the manufacturer's key, so that the current user's device can verify the authenticity of the item; obtaining the current user's identity ciphertext from the current user's device, and using the manufacturer's key to decrypt the current user's identity ciphertext to obtain the current user's identity text; generating the second authentication text of the item based on the first authentication text and the current user's identity text, for subsequent authenticity verification of the item. By executing this technical solution, the item verification information, the manufacturer's identity information and the user's identity information can be authenticated and verified multiple times, and the user identity information of the user's device that verifies the authenticity of the item can be viewed, thereby realizing the traceability of the item verification process.

This invention belongs to the field of distillation apparatus technology and discloses an automatic distillation range measuring instrument and its calibration method, including a housing, a distillation flask, and a tube cover. The left end of the housing has a working area A, and the right end has a working area B. A control box is fixedly installed on the top of the housing. A heating plate is fixedly connected inside the working area A. The invention simultaneously starts a first motor to drive a second pulley to rotate. This, in turn, drives the first pulley to rotate via a drive belt, causing the tube cover to rotate with the mounting end. The serpentine condenser then rotates, and small volumes of liquid adhering to the inner wall of the serpentine condenser, under centrifugal force, slowly slide along the inner wall and merge with other small volumes of liquid to form a larger volume of liquid. Simultaneously, propelled by gas, this liquid drips down the discharge pipe into the collection bottle, effectively cleaning the liquid inside the serpentine condenser and avoiding waste.

The invention belongs to the technical field of medical instruments, and discloses a dual-mode defibrillation electrode and a mode switching method.The defibrillation electrode comprises a defibrillation electrode circuit board and a defibrillation discharging interface, and the defibrillation electrode circuit board is connected with a multifunctional communication interface, a mode switching switch and a mode indicating lamp; a single-chip microcomputer control unit is integrated in the defibrillation electrode circuit board, and one interface of the multifunctional communication interface is electrically connected with the single-chip microcomputer control unit. The mode change-over switch is electrically connected with the single-chip microcomputer control unit, and the mode indicating lamp is electrically connected with the single-chip microcomputer control unit. Identification of different modes is designed into the defibrillation electrode connector and is integrated with the defibrillation electrode, a toggle switch or a key does not need to be arranged on a defibrillator host, misoperation is avoided, a host shell structure is prevented from being damaged, interfaces of the host are reduced, information of the defibrillation electrode can be stored, and the validity period of the defibrillation electrode can be read.

This invention discloses a GIS-based risk management system and method for pollutant migration in mining area watersheds, relating to the technical field of simulating pollutant migration patterns. It includes a 3D GIS functional module, a hydrodynamic-water quality model coupling module, and a mining watershed pollution risk management module. Based on watershed hydrology theory and pollutant migration and diffusion mechanisms, it fully considers the migration of pollutants in the storage area after rainfall via surface microrunoff. By studying the formation patterns of microrunoff, it simulates the watershed migration process of pollutants in the mining area under different rainfall intensities, thereby more accurately calculating pollutant migration and diffusion fluxes and managing the risk of pollutant migration in the watershed. Based on historical and real-time data and models, it uses a 3D model to display the spatial distribution patterns and development trends of pollutants, achieving accurate pollutant identification and source tracing. It can simulate pollution control measures in mining area watersheds, predict development trends, and provide early warnings for pollution events.