203results about How to "Accurate traceability" patented technology

The invention discloses a quality safety tracing method for food processing enterprises. The quality safety tracing method includes the steps that a laser coder generates random tracing codes according to a coding rule when a laser marking machine in a production line device is dynamically read in an on-line tagging mode; the laser marking machine carries out tracing mode marking on products on a production line, and two-dimension codes and plain codes are all marked on packages; a fixed reader is used for scanning and reading designated tagged code portions of the products; the two-dimension codes are successfully scanned and read, the tracing codes are recorded, and relevance between the tracing codes and commodity attribute information is completed; if the two-dimension codes fail to be scanned, the two-dimension codes will be removed through a removing device; the commodity tracing code information and the commodity attribute information are recorded into a relational database; after the products are packaged, package code data and product tracing code data are related; the products are stacked, stacking codes and tagged stacking codes are generated, and the stacking codes and the product package code data are related; the stacking codes are scanned, storage of the products is completed, delivery orders and the stacking codes are scanned to complete delivery, and the database records delivery information.

The invention discloses an urban control management system based on smart street lamps, and relates to the technical field of smart cities. The smart city is constructed on the basis of the smart street lamps, interconnection and intercommunication of multiple platforms in the smart city are achieved, and repeated investment is reduced. The intelligent street lamp is a composite public infrastructure integrating multiple functions of intelligent lighting, video acquisition, mobile communication, traffic management, environment monitoring, meteorological monitoring, radio monitoring, emergencyhelp seeking, information interaction and the like, and is an important carrier for constructing a comprehensive perception network of an intelligent city.

An atmosphere fetor pollution fine source apportionment method comprises determining a fetor pollution source surveying area; performing fetor pollution source survey and establishing a real, reliable and complete fetor pollution information database; based on the foundation of fetor source survey, analyzing influence on environment by a pollution source in different conditions and judging a main fetor pollution source influencing the surveying area; identifying characteristic markers of various emission sources; establishing fetor fingerprints capable of reflecting emission characteristics of the pollution sources; identifying the fingerprints by means of a fuzzy clustering model, programming by adoption of Matlab software and achieving rapid and accurate compare among the fingerprints; and establishing an atmosphere fetor pollution fine source apportionment model. The atmosphere fetor pollution fine source apportionment method is capable of finding the sources of fetor pollutants rapidly and accurately, high in practicality and wide in popularization and application and capable of providing a reliable technical guarantee for environment management departments to deal with an emergent fetor pollution accident and control a pollution risk.

The invention relates to a strip steel quality forecasting, furnace condition early-warning and fault diagnosis method, in particular to a strip steel quality forecasting, furnace condition early-warning and fault diagnosis method based on partial least square, comprising the following steps: model selection: multiple models are adopted to describe the process characteristics of corresponding steel types; data preprocessing: data alignment based on the model is carried out, synchronization relation of process input and quality output is built and data dimensionless treatment is carried out to eliminate effect of process data on modeling precision owning to non-unity of physical units; an off-line model building; a PLS (partial least square) model for strip steel quality and process variable is built by utilizing a great amount of historical data in normal working conditions; determining control limit of an monitor-control index; determining variable quantity control limit; and on-line forecasting and on-line detection and fault diagnosis. In the invention, the model for the strip steel quality and the process variable is built by PLS algorithm, so as to realize real-time quality forecasting, process monitoring and fault diagnosis.

The invention discloses a method for supervising clothing production based on a radio frequency identification (RFID) technology. The method comprises the following steps of: 1, setting a clothing production line; 2, preparing RFID equipment; and 3, installing the RFID equipment. The invention also discloses a system for implementing the method. By the method provided by the invention, clothing production operating information can be supervised quickly and accurately in real time. The system provided by the invention is simple in structure and smart in design. By adoption of the RFID technology, the conventional paper work ticket is replaced by an electronic RFID tag, and the RFID tag is arranged on each clothing product; every time when the clothing product finishes a process, an RFID data acquisition terminal in the corresponding process automatically sends the operating information of the process to an information management server; the production data of clothing in a certain process is collected in real time; an effect of supervising the clothing production is achieved; and the production efficiency and decision management capacity of an enterprise are effectively improved.

The invention discloses a city drainage dynamic management control system. The system comprises a pipe network tracing detection module, a drainage monitoring module, a processing module and a storage module, wherein the processing module is connected with the pipe network tracing detection module, the drainage monitoring module and the storage module; the processing module is connected with the pipe network tracing detection module and the drainage monitoring module; the processing module analyzes topological structures and state information of pipelines and water level, water quality, rainfall and / or video information in a city drainage system; the analyzed data and GIS geographic information of a city drainage device are integrated into drainage topological model information; and the drainage topological model information is displayed through an early warning and forecast module. According to the system, the state information of a city pipe network can be known in time; and moreover, accurate tracing can be performed when emergency situations of sewage overflow, city waterlogging and the like occur or the pipelines are damaged, and workers are timely notified to make an effective scheme according to the geographic information of a city to perform rescue.

The invention discloses an industrial control system (ICS) communication network anomaly classification method based on statistical learning and deep learning. According to the invention, the method comprises the steps: designing LSTM deep learning structure parameters on the basis of the flow of a large-data-volume industrial control system communication network during normal operation, and performing modeling analysis; designing a correlation algorithm to analyze a numerical relationship between background traffic and real-time traffic by analyzing a real-time communication traffic data threshold generated based on a SARIMA online statistical learning model in the early stage; and carrying out specific classification on the ICS communication network anomaly according to an ICS network anomaly event classification algorithm. According to the invention, experimental analysis is carried out by using a target range test board combining industrial control safety virtuality and reality inZhejiang Province; meanwhile, a physical simulation platform is built in a laboratory environment to carry out a verification experiment, and detailed examples are given to verify the reliability andaccuracy of the algorithm.

The invention discloses a tracking system for network security event based on monitoring probe linkage and a method thereof, which can track the network security event precisely. According to the technical proposal, the method comprises the following steps: a. according to relevant information of the network security event to be traced, suitable monitoring probes are chosen and applicable tracking rules are determined; b. the tracking rules are released to the monitoring probes; the monitoring probes are collected; according to the monitoring data collected by the tracking rules, information including IP address of the initiating source of the network security event is extracted from the monitoring data; c. if the track completing condition is satisfied, transferring to a step d; otherwise, after the information of the network security event is updated, transferring to the step a; d. the current initiating source is submitted as the final initiating source of the network security event; the flow is finished. The invention is used in a the field of network security.

The invention discloses a test supervision method and device, test supervision equipment and a storage medium. In the method, a server obtains and executes a test instruction; the test instruction and identity information are binded; Hash operation is performed on the binding information, and digital signature is performed on a Hash operation result; the digital signature result and the binding information are uploaded to a block chain node located in the block chain network, so that the block chain node checks a signature and stores the binding information after the signature is checked successfully. According to the invention, the information obtained by binding the test instruction and the identity identification information of the corresponding test party is stored through the block chain network. after chain feeding is completed, the test instruction and the identity identification information in the binding information and the binding relationship between the test instruction and the identity identification information cannot be tampered; when a supervisor carries out responsibility tracing of a test accident in the later period, the corresponding identity identification information can be accurately found from the block chain network by utilizing a test instruction related to the test accident, so that an actual responsible person can be accurately traced.

The invention discloses a method for recognizing a heavy metal pollution source in soil on the basis of a K-means clustering method. The method is applied to the pollution source recognition on a pollution source recognition composite model through K-means clustering-main ingredient analysis; the sources of heavy metal contaminants can be fast and accurately traced; the contribution rate of each contaminant is given; the reliable technical guarantee is provided for an environment management department to deal with pollution accidents and to control the pollution risk; and the defects that in the prior art, the contribution rate of a concrete discharging source on a receptor cannot be given, and practical guidance significance cannot be realize on the pollution control work are overcome.

The invention discloses a source apportionment method for polycyclic aromatic hydrocarbon pollution in soil, belonging to the technical field of source apportionment. The method is based on a positive definite matrix factor recognized by a BP artificial neural network, can rapidly and accurately trace back sources of pollutant emitting offensive odor, has wide popularization and application values and provides reliable technical support for an environment management department in coping with polycyclic aromatic hydrocarbon pollution accidents and controlling pollution risks.

The invention belongs to the technical field of tax system credit investigation management, and discloses a tax payment credit investigation system based on a block chain and a processing method, andthe method comprises the steps: accumulating data of each mechanism to a unified block chain platform, and integrating all information; using a specific consensus algorithm to input credit data into the block chain, and analyzing and calculating individual credit scores to form a huge information set; meanwhile, enabling the open port to continuously accept resources to form an information network, so that all participants are equivalent and mutually beneficial; constructing a tax platform introducing an interstellar file system using the interstellar file system for uploading duplicate text information, and directly storing a returned hash value and a small tax payment data file on a block chain which is used for a tax system and a credit alliance and caching the value and file in a standby traditional database at the same time. According to a data sharing method based on the block chain, member nodes in the regional autonomous alliance are mutually constrained and supervised while sharing data, and 'information island 'phenomenon is solved.

The invention discloses a data correlation method based on a J2EE platform and a correlation plug-in, and relates to security audit technology. The method disclosed by the invention comprises the steps that when a WEB application server receives a service request triggered by a login user, a correlation plug-in obtains and stores the correlation information of the service request, wherein the correlation information comprises user information and service information corresponding to the service request; when the WEB application server requests data from a database according to the service request, the correlation plug-in correlates the correlation information of the stored service request in an SQL (Structured Query Language) sentence in an annotation manner and transmits the SQL sentence containing the correlation information to a switch in a database protocol packet manner. The invention also discloses the correlation plug-in. The technical scheme of the application is accurate service audit technology based on J2EE platform, which is used for accurately correlating the application user login information with service action information, and the accuracy of correlation degree reaches 100%.

The invention discloses a nonnegative-constrain-factor pollution source apportionment method based on naive Bayesian source identification. The nonnegative-constrain-factor pollution source apportionment method is used for apportionment of polycyclic aromatic hydrocarbon pollution sources in a water body, and includes the eight steps of determining a surveyed region; collecting base data; surveying the degrees of influences of pollution source industry enterprises on the environment; building fingerprint spectrums of polycyclic aromatic hydrocarbon pollutants in various emission sources; treating the fingerprint spectrums to obtain pollution source receptor samples; training the pollution source receptor samples with a naive Bayesian source method; carrying out calculation with a nonnegative-constrain-factor analysis method; finally, calculating the pollution source contribution rates of factor loads for main pollution source factors with high factor scores through a trained classification model, and achieving source apportionment of the polycyclic aromatic hydrocarbon pollutants. By means of the method, the sources of the polycyclic aromatic hydrocarbon pollutants in the water body can be rapidly and accurately traced, and powerful technical supports can be provided for making drainage-basin polycyclic aromatic hydrocarbon pollution control countermeasures and improving the quality of the drainage-basin water environment.

The invention relates to a network attack identification method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring network communication related data to be processed; screening network attack data related to a network attack event from the network communication related data, wherein the network attack data comprises attack behavior data corresponding to at least one network attack behavior occurring in the network attack event; determining network attack features corresponding to the corresponding network attack events according to the network attack data; performing classification processing on the network attack features, and outputting organization information corresponding to the network attack event, wherein the organization information is used for tracking and tracing the network attack event. By adopting the method, the identification accuracy of the organization to which the network attack belongs can be improved, and network security is guaranteed.

A traceability system suitable for PCB manufacturing comprises a plurality of two-dimensional code makers disposed at a starting end of a production line, before a laminating step, after the laminating step and before the step of molding and shipment, two-dimensional code readers disposed at equipment feeding ports of different production steps, and a traceability system database. The two-dimensional code makers and the two-dimensional code readers are in communication connection with the traceability system database. Each two-dimensional code maker stores information on a two-dimensional code made on a PCB into the traceability system database. When the PCB enters production steps after the corresponding two-dimensional code maker, the two-dimensional code reader of each production step reads out the independent two-dimensional code on the PCB, and stores the two-dimensional code, code reader number and readout time into the traceability system database. Before the step of molding and shipment, the two-dimensional code is made on the surface of the PCB through a two-dimensional code ink-jet printer or a two-dimensional code laser coding machine. The entire production process of the PCB can be traced more accurately and conveniently.

The invention discloses a free-ranging poultry egg tracing system. The free-ranging poultry egg tracing system includes a cloud computing data center, a database server, a collector, RFID tags, printing equipment and two-dimensional code labels, wherein the cloud computing data center is connected with the collector through a network, the collector is arranged in a poultry nest, the RFID tags are arranged on feet of poultry, and the printing equipment prints out the two-dimensional code labels for poultry egg laying information reading. The invention also discloses a free-ranging poultry egg tracing method. The method comprises the following steps that: 1) the collector is arranged in the poultry nest, the RFID tags are arranged on the feet of the poultry, and poultry basic information is inputted into the cloud computing data center; 2) the collector transmits its own identification number and poultry numbers to the cloud computing data center); 3) the cloud computing data center carries out statistics on data of poultry which are laying eggs, and confirms egg laying states; 4) the two-dimensional code labels are printed; 5) the two-dimensional code labels are affixed to egg bodies; and 6) consumers can obtain a network link of poultry egg laying information through scanning the two-dimensional code labels. With the free-ranging poultry egg tracing system and method of the invention adopted, the problem of incapability of identifying an egg laying order can be solved. The free-ranging poultry egg tracing system and method of the invention have a great promotion value.

The invention discloses a polycyclic aromatic hydrocarbon source apportionment method. The method comprises the steps of firstly, determining the research area of source apportionment according to urban industrial distribution, and then determining polycyclic aromatic hydrocarbon featured pollutants through site sampling and analysis; subsequently, further applying a chemical mass balance method based on clustering classification identification for precisely screening and identifying sources of polycyclic aromatic bodies in the environment; finally, according to the featured pollutants and the contribution rate of the featured pollutants to source apportionment of the pollutants in the environment, determining the source type and the influential degree of the featured pollutants. By means of the method, the sources of the pollutants can be traced rapidly and accurately, practicability is great, and the method is suitable for application and popularization.

The invention provides a food safety tracing system. An implement object is selected, food raw materials are produced, the final consumption business process is analyzed, food quality safety elements and key control points are analyzed and determined according to all links of a food traceable chain, and limiting values of key elements are determined according to international standards, national standards and industrial standards; then, a food safety tracing index system is built, a tracing unit is determined, a food traceable chain encoding system is built, a quality safety information management system for a food production link, a processing link, a storage and transport link and a selling link is built according to the food traceable chain and the encoding system, a food safety tracing system platform is constructed, and accurate tracing of food is achieved.

The invention discloses a test supervision method and device, an apparatus and a storage medium. The method comprises the steps of enabling a server to acquire and execute a test instruction; bindingthe test instruction and the identity identification information; performing hash operation on the binding information, and performing digital signature on a hash operation result; and detecting whether a preset chaining condition is satisfied currently, and if so, uploading the digital signature result and the binding information to a block chain node located in a block chain network, so that theblock chain node performs signature verification and stores the binding information after the signature verification passes. According to the present invention, the information obtained by binding the test instruction and the identity identification information of the corresponding test party is stored through the block chain network, after the uplink is completed, the test instruction and the identity identification information in the binding information and the binding relationship between the test instruction and the identity identification information cannot be tampered, and the corresponding identity identification information can be accurately searched from the block chain network by utilizing the test instruction related to the test accident in the later period, so that the actualresponsible person can be accurately traced back.

The embodiment of the invention relates to the technical field of communication, and discloses an anti-fraud system and method, a server and a storage medium, and the anti-fraud system comprises a suspicious call analysis module, a network data obtaining module, a fusion analysis module and a warning service module. The suspicious call analysis module is used for identifying the call signaling corresponding to the personal account according to a first preset model and recording suspicious call data; the network data acquisition module is used for discriminating the personal internet surfing data according to a second preset model and acquiring network data for accessing a malicious website; the fusion analysis module is used for performing fraud identification on the suspicious call data and the network data according to a third preset model; and the warning service module is used for intercepting and sending out early warning after judging that the personal account is suspected to becheated. By aggregating the call data and the internet surfing data, the fraud event is more accurately and comprehensively recognized, comprehensive reminding and interception are achieved, and the fraud event prevention and control capacity of family users is effectively improved.

A calibration device is disclosed. A platform has a substantially planar surface suitable for the landing of an AFM cantilever tip, one or more supporting legs arranged to provide sprung resistance to the platform and a capacitive sensor for measuring the combined spring constant of the one or more supporting legs with respect to displacement substantially perpendicular to said substantially planar surface.

The invention discloses a pollution source tracing method and device. The method includes: constructing guessing field for meteorological simulation; acquiring topographic information of a to-be-detected region and an emission source list of the to-be-detected region; acquiring emission source component spectrum data of a to-be-detected region; and according to the topographic information, the emission source list and the emission source component spectrum data, performing traceability analysis on a pollution source based on a source tracking model. Due to the fact that more accurate emissionsource component spectrum data of the to-be-detected area is added in the tracing process, the identification degree of a primary pollution source can be greatly improved, a finer source analysis result is obtained, and powerful data guarantee is provided for prevention and control of air quality.

The invention provides a management method and system for tracing production information based on tobacco bale two-dimensional codes, and the method comprises the steps: setting a two-dimensional codeon a tobacco bale, and enabling each tobacco bale two-dimensional code to store unique code information; arranging code scanning equipment between the packing machine main machine and the productionprocess of the transparent paper small package packing machine. The two-dimensional code on the cigarette packet packaging paper is scanned through the code scanning equipment, the unique code information in the two-pile code is extracted, and a unique identifier is obtained according to the unique code information; acquiring production machine information, production department information and production time information, and associating the production machine information, the production department information and the production time information with the unique identifiers of the cigarettes one by one; and taking the production machine information, the production department information and the production time information as cigarette packet identity information, taking the unique identifier as a main keyword, and storing the cigarette packet identity information in a cigarette packet identity information database of a production data server. According to the method, the digital management level of the product production process flow can be improved, and a quality tracing mechanism of each cigarette packet is realized.

An intelligent electronic device with constant calibration capabilities for high accuracy measurements and method thereof are provided. The intelligent electronic device presented herein constantly samples the output of at least one signal from a sensor and at least three reference signals, where the reference signals include a high reference signal, a low reference signal, and a medium reference signal. Using the constant calibration implementations provided, the intelligent electronic device can calibrate and compensate a signal from a sensor in real time. The constant calibration implementations provided are independent of time and temperature, and are advantageous in a rapidly changing environment. Furthermore, the constant calibration implementations provided enable the intelligent electronic device to track changes in an applied correction factor for traceability in the error correction process. The intelligent electronic device can determine, when the correction factor is applied, how often, and temporary drifts in accuracy.

The invention discloses a control system based on an intelligent street lamp, and relates to the technical field of intelligent street lamps. The control system based on the intelligent street lamp comprises a control center, a cloud server, the intelligent street lamp and a common street lamp, the control center is connected with the cloud server through a transmission network, the intelligent street lamp is connected with the cloud server through the transmission network, the common street lamp is connected with the intelligent street lamp through the transmission network, and the intelligent street lamp comprises a power supply control part, a communication part, a sensor part and a main controller part. The intelligent street lamp is combined with a common street lamp, and the common street lamp is controlled by the intelligent street lamp, so that the cost is reduced; and the brightness and power of the lamp can be adjusted in real time according to weather conditions, so the purpose of saving energy is achieved.

The invention discloses an APT organization identification method and apparatus. The method comprises the steps of performing inverse analysis on a to-be-detected sample file to obtain a function of the to-be-detected sample file; based on a pre-formed feature set and the function of the to-be-detected sample file, forming an eigenvector of the to-be-detected sample file, wherein the eigenvector represents a relationship between the function in the to-be-detected sample file and the feature set, one feature set is a set of similar function sets, and functions in the similar function sets correspond to a same APT organization; and obtaining an APT organization identifier of the to-be-detected sample file based on the eigenvector of the to-be-detected sample file by using a pre-built APT organization tracing model, wherein the APT organization tracing model is a computing model built based on a machine learning algorithm. The APT organization can be at least effectively traced.

The invention discloses an equipment gas leakage monitoring system and method based on artificial intelligence sense. The monitoring system comprises an artificial intelligence olfaction device, an infrared imaging vision device, an ultrasonic detection auditory device and a mechanical vibration touch device which respectively correspond to four phenomena of gas release, infrared radiation, soundwave diffusion and equipment vibration when the gas leakage of chemical equipment occurs. The gas leakage generation mechanism of the chemical equipment is analyzed; the characteristic rules of gas release, infrared radiation, sound wave diffusion, temperature deviation, equipment vibration and the like caused by an insulating gas leakage fault state are disclosed. Based on the principles of artificial intelligence olfaction, infrared imaging vision, ultrasonic detection auditory sense and mechanical vibration touch sense, an artificial intelligence mode recognition algorithm is used in combination, an intelligent sensory system based on artificial intelligence vision, olfaction, listening and touch information fusion is constructed; and the gas multi-mode leakage accurate recognition of the chemical equipment and a leakage accurate tracing method are obtained. With the system and method of the invention adopted, the problems of gas leakage quantitative identification and leakage positioning are solved.

The invention discloses a soil heavy metal pollution source analysis method based on Bayes source identification. According to the method, firstly, the Bayes method of the statistics technology is utilized to carry out pollution source identification, secondly, a principal component factor analysis model is utilized to calculate a pollution source contribution rate, and the contribution degree of a specific source to an acceptor can be obtained; problems that only categories of pollution sources having relatively large contribution to the environment acceptor can be obtained, the contribution degree of the specific pollution source to the environment acceptor can not be obtained, and practical guiding significance to pollution prevention and control work is little through the traditional pollutant source analysis technology in the prior art are solved, and reliable technical guarantee can be provided for the environment management department to respond to heavy metal pollution accidents and control pollution risks.

The invention discloses a precise information acquisition and tracing system and a tracing method based on DM (Data Matrix) two-dimension code grain tracing particle, which take the food-grade DM two-dimension code grain tracing particles as a carrier of a grain producing area information identifier, and develop automatic acquisition and transmission based on information of each link for ARM (Advanced RISC Machines) grain tracing as a rapid full-range grain tracing system with low cost to provide an effective manner for guaranteeing the grain quality and the safety production. The tracing system comprises an environment information acquisition node, a wireless sensor network, a mobile terminal provided with a wireless communication module, a GPRS (General Packet Radio Service) locating module and a DM two-dimension code image capture module, and an upper computer grain information tracing platform. The upper computer grain information tracing platform recognizes and decodes a plurality of DM two-dimension code areas in received grain images to obtain grain production mark information, stores the grain production mark information, the grain environment information and the position information together, and publishes on the internet. A user can search related grain information through a mobile phone client.