19686 results about "Data acquisition module" patented technology

Arrangement and method for mapping a road during travel of a vehicle having two data acquisition modules arranged on sides of the vehicle, each including a GPS receiver and antenna for enabling the vehicle's position to be determined and a linear camera which provides one-dimensional images of an area on the respective side in a vertical plane perpendicular to the road such that information about the road is obtained from a view in a direction perpendicular to the road. A processor unit forms a map database of the road by correlating the vehicle's position and the information about the road. Instead of or in addition to the linear cameras, scanning laser radars are provided and transmit waves downward in a plane perpendicular to the road and receive reflected waves to provide information about distance between the laser radars and the ground for use in forming the database.

An industrial plant asset management system comprising of a synchronized multiple view graphical user interface combining simultaneous real time and database display capability, a database including a knowledge manager and having input and output interfaces, a normalizing data acquisition module with real time and database interfaces, and a variety of device dependent data collector modules with associated signal conditioning and processing devices for providing an environment for development and deployment of visual models for monitoring plant assets.

The invention discloses an electric vehicle lease management system on the basis of charging piles. The electric vehicle lease management system comprises a system remote management control center, electric vehicles, the charging piles and intelligent terminals. A vehicle battery data acquisition module, a wireless communication module and an intelligent control module are mounted on each electric vehicle; an intelligent control unit and a communication module are mounted on each charging pile, each intelligent terminal is wirelessly communicated with the system remote management control center, and the wireless communication module of each electric vehicle is wirelessly communicated with the system remote management control center. The electric vehicle lease management system has the advantages that lease systems which are used by vehicle lease users and management staffs can be conveniently and quickly implemented by the aid of modern information network technologies, the users can order lease application and check relevant lease information via the intelligent terminals or directly via computers at any time in any places, and the management staffs can monitor various indexes such as electric vehicle location data and battery data in real time, and prompting effects can be timely realized.

The invention discloses a system and method for constructing information-analysis-oriented knowledge maps. The system comprises a data acquisition module, a text extraction module, an entity recognition module, a semantic analysis module and an entity-relation extraction module, wherein the data acquisition module is used for carrying out cleaning and simple preprocessing on acquired data and outputting the data to the text extraction module; the text extraction module is used for carrying out data cleaning and preprocessing on structured and unstructured data and conveying clean data to the entity recognition module; the entity recognition module is used for segmenting words of a text, marking the word characteristics of the segmented words, then extracting terms and conveying extracted results to the semantic analysis module; the semantic analysis module is used for analyzing and extracting relation among bodies, generating a semantic metadata model by a body construction tool and outputting the semantic metadata model to the entity-relation extraction module; and the entity-relation extraction module is used for finally generating knowledge map language by extracting taxonomic relation and non-taxonomic relation. The system and method disclosed by the invention have the advantages that by combination of syntactic training and association rules, not only are external input and artificial intervention reduced, but also the entity relation can be continuously recognized.

The invention discloses a system used for constructing a user figure. The system comprises a data acquisition module used for acquiring the Internet surfing log data of a user, a data pre-processing module used for pre-processing the Internet surfing log data of the user, a data analysis module used for carrying out characteristic extraction for the Internet surfing log data after pre-processing to acquire attribute characteristics of the user, a data application module used for matching in a multi-dimensional database on the basis of label classification trained by an established multi-dimensional characteristic database according to the attribute characteristics of the user to acquire multi-dimensional attribute labels of the user, and a data business module used for constructing the user figure according to the multi-dimensional attribute labels. The system is advantaged in that the holographic multi-dimensional user figure can be constructed, and rapid precise advertisement delivery of service providers / enterprises / companies and consumption behavior recommendation of use groups can be satisfied.

The invention discloses an operation and maintenance automation system and method. The system comprises a data acquisition module, a pre-processing and storing module, a prediction module, an algorithm evaluation module and an operation and maintenance monitoring management module, wherein the data acquisition module is used for acquiring key performance indexes and running states of monitored units in an operation and maintenance system through a network management protocol or a log file; the pre-processing and storing module is used for performing pre-processing work and sorted storing on data acquired by the data acquisition module; the prediction module is used for performing predictions, including a CPU (Central Processing Unit) load prediction and a disk load prediction according to the data processed by the pre-processing and storing module; the algorithm evaluation module is used for establishing an evaluation criterion of a prediction algorithm and the prediction module, comparing an actual value with a predicted value of the prediction algorithm, and establishing a self-learning process; and the operation and maintenance monitoring management module is used for interacting with operation and maintenance management personnel. A load prediction mechanism and an algorithm prediction model are established in order to finish predictions specific to resource use situations of CPUs, memories, disks and the like. Alarm information is analyzed by further referring to a load prediction result in order to give a relevant auxiliary decision. Resource expansion and fault handling are realized in a way of using scripts, an API (Application Programming Interface) interface and the like.

The invention belongs to the technical field of network security and particularly relates to a method for processing a hidden process based on a hardware simulator. By establishing a running environment of malicious codes in hidden codes in a hardware simulating environment and operating and controlling instructions simulating a CPU and various accessing operations simulating a memory, marked by a CR3 value in a CR3 register, the hidden process is detected, the running process of the hidden process is monitored, and the running information of the malicious codes in the hidden process is recorded by a data acquisition module; and the invention also provides a mirror image which extracts the malicious codes directly from a virtual memory. All instructions of a virtual CPU and various hardware operations of a hardware simulating device are executed in simulation after translation and are not executed in a real machine by using code segments directly, and the running time of the instruction in the instruction running process can be accurately calculated, thus realizing fully transparent analysis of the malicious codes in the hidden process.

The invention discloses a method and a system for making multi-dimensional analysis to message class service data. The steps of the invention comprise a data collection step and a data integration step; a data conversion and loading module is responsible for converting the data in a middle database into a relational database with star framework characteristic, settles various data to be analyzed of message class service, classifies the data with common or similar characteristics and brings the data into a unified dimension hierachy; the data in the middle database is further cleaned and converted to be processed into another multi-dimensional database; and a data analysis and presentation step is included. The corresponding system comprises a data collection module which is independently arranged, the data conversion and loading module and a data analysis and presentation module. With the invention, the multi-dimensional data model can be shared in similar value-added service system, the development cycle and cost of the system can be reduced. To apply the function of multi-dimensional data analysis possessed by the system established by the model can provide operators and equipment manufacturers with more flexible and convenient data statistic method and decision support.

A vehicle awareness system for monitoring remote vehicles relative to a host vehicle. The vehicle awareness system includes at least one object sensing device and a vehicle-to-vehicle communication device. A data collection module is provided for obtaining a sensor object data map and vehicle-to-vehicle object data map. A fusion module merges the sensor object data map and vehicle-to-vehicle object data map for generating a cumulative object data map. A tracking module estimates the relative position of the remote vehicles to the host vehicle.

A fault detection system for use with a solar hot water system may include a data acquisition module which may, in turn, include a plurality of sensors. Input data may include a sensed condition. The system may also include a neural network to receive the input data which may be a multi-layer hierarchical adaptive resonance theory (ART) neural network. The neural network may perform an analysis on the input data to determine existence of a fault or a condition indicative of a potential fault. The fault and the condition indicative of the potential fault are prioritized according to the analysis performed by the neural network. A warning output relating to the fault and the condition indicative of the potential fault is generated responsive to the analysis, and is displayed on the user interface.

The invention discloses a coiled tubing operation equipment simulator, which comprises a base, a seat which is arranged at the middle part of the rear end of the base, simulation control parts which are arranged on the two sides of the seat, a data acquisition module which is used for receiving control signals of the simulation control parts, a main scene display which is arranged at the front of the seat, an injection head scene display and a downhole scene display which are arranged on the two sides of the main scene display, a computer system which is connected with the displays and the data acquisition module and can display simulated scenes in the displays, a simulation instrument display which is connected with the computer system, and an input device which is used for man-machine interaction. The coiled tubing operation equipment simulator can simulate various operation scenes in the actual working process of coiled tubing operation equipment, realize various simulation operations on the coiled tubing operation equipment and reproduce the actual operation and working process of the real coiled tubing operation equipment.

An assembly and system for collection and assessment of physiological data is provided. The assembly includes a physiological data acquisition module that may be used in combination with a head harness for the collection, recordation, storage and transmission of quality physiological data. The assembly integrates easy to use, self-applied electrodes in a user-friendly system resulting in less data artifacts than commonly seen in conventional methods and techniques for collecting physiological data. The assembly and system captures high-quality physiological data for display, storage, processing and analysis.

The invention relates to the elevator control field and the field of the Internet of Things, and provides an intelligent prediction, diagnosis and maintenance system for elevator faults on the basis of the Internet of Things. The intelligent prediction, diagnosis and maintenance system can effectively shorten the time of elevator halt caused by the elevator faults, improve the reliability of elevator running and the elevator maintenance efficiency and guarantee the personal safety and the property safety. According to the technical scheme of an intelligent prediction, diagnosis and maintenance method for the elevator faults on the basis of the Internet of Things, a data acquisition module collects elevator data in real time and transmits the collected data to a server through WIFI or the 4G wireless communication technology, the data are analyzed on the server side through the big data technology, and therefore the elevator faults which are possibly to occur can be predicted; if the elevator faults occur, a fault diagnosis system on the server side can be used for analyzing the faults, then the positions and the reasons of the faults can be provided, and then an intelligent maintenance system on the server side provides solutions to the faults. The intelligent prediction, diagnosis and maintenance method is mainly applied to the elevator control occasion.

The invention provides an intelligent cloud gateway of the industrial IoT and a communication method of the gateway. The gateway comprises a data collection module, a protocol analysis and conversionmodule and a cloud transmission module; the data collection module obtains industrial data collected by network equipment in the heterogeneous network; the protocol analysis and conversion module analyzes protocols of the industrial data, converts the industrial data with the different communication protocols into OPC UA standard data, and further converts the obtained OPC UA standard data into MQTT protocol data; and the cloud transmission module transmits the MQTT protocol data to a cloud platform. Thus, the industrial data with the different protocols is sent to the cloud via the single gateway, different network device access schemes are provided, and the difficulty in transmitting the multi-protocol industrial data to the cloud in the heterogeneous network is solved; and the securityof data transmission is ensured comprehensively in the network, transmission and application layers, and a complete security guarantee system is formed.

An industrial plant asset management system comprising of a synchronized multiple view graphical user interface combining simultaneous real time and database display capability, a database including a knowledge manager and having input and output interfaces, a normalizing data acquisition module with real time and database interfaces, and a variety of device dependent data collector modules with associated signal conditioning and processing devices for providing an environment for development and deployment of visual models for monitoring plant assets.

The invention relates to the field of exercise equipment, in particular to an intelligent running machine. The intelligent running machine comprises a running machine body, a tablet personal computer which is arranged on the running machine body, a flexible array pressure sensor which is arranged on the running machine body, a control module which is arranged on the tablet personal computer, a data acquisition module and a motor drive module. An internet function is integrated in the control module of the running machine, and each running machine uploads a relationship model and a training program which are established according to individual characteristics through network to a server for storage so as to realize identity authentication. Multiple kinds of training modes and virtual scenes are integrated in the control module; the training program which meets an exerciser is customized in a personalized way; foot pressure distribution information of the exerciser, which is detected bythe flexible array pressure sensor, and the real-time heart rate which is sent by a heart rate monitoring module are received in real time; running speed, gradient and the like can be adjusted automatically; safety of the exerciser can be guaranteed; and training modes can be enriched and training efficiency can be improved.

A data collection module for a physiological data collection system is a reusable device having a data collection port for connection to a source of physiological data that is in an analog format. The data collection port is in circuit communication with a plurality of bipolar amplifiers. The amplifiers are in circuit communication with a central processing unit provided with analog to digital converters, memory for signal processing and internal USB circuitry. The central processing unit is in circuit communication with a means for storing data and with a means for conveying the data in digital form via at least one of a USB port and a wireless communication system.

The invention discloses an interactive virtual teacher system having an intelligent error correction function, which is designed for solving the technical problem that the conventional man-machine interaction teaching is limited to speech synthesis information and spoken language evaluation and cannot satisfy the need for intelligent error collection interaction in learning and communication. Thesystem comprises an audio and video data acquisition module, an information identification module, an error correction evaluation module, a teaching policy module and other modules. An audio sensor and a video sensor acquire the face images and voice signals of learners; the information identifies fused mouth shapes, pronunciation and emotion of the learners; the error collection evaluation module automatically evaluates the pronunciation mouth shapes of the learners and detects the differences between pronunciation mouth shape data and standard data stored in a standard pronunciation mouth shape databases, automatically selects a proper time to show the reasons of incorrect pronunciation and correction means and provides a correct pronunciation mouth shape and animated demonstration; andthe teaching policy module makes a teach-student one-by-one interactive personalized teaching implementation solutions according to evaluation data and emotion states. In the invention, real-time communication and animated demonstration are realized by fusing voice and emotion multi-source information and by intelligent error correction and simulation by video interaction with a virtual teacher. Thus, the accuracy of pronunciation teaching is improved.

The invention discloses an intelligent energy transaction management system and method based on the block chain technology. The system includes an intelligent metering device subsystem and an energy transaction platform subsystem. The energy transaction platform subsystem includes an intelligent contract generation module, a first intelligent contract execution module, an intelligent contract management module, a remote data acquisition module, a payment module, a distributed block chain and a payment data acquisition and verification module. The intelligent metering device subsystem includes a communication module, a second intelligent contract execution module, an execution unit and a local data acquisition module. The local data acquisition module is used for regularly acquiring measurement data of at least one intelligent metering instrument and converting, aggregating, gathering and statistically calculating the acquired data and providing calculation result data. The system and method of the invention can provide transparent, trustworthy, scrutinizeable and traceable data for energy transaction parties, have high data usability and reliability and can be widely applied in the field of energy transaction data processing.

The invention discloses a mobile ad hoc network intrusion detection method and device based on deep learning, relating to the field of wireless network safety. The device comprises a data acquisition module, a data fusion module, a preprocessing module, a storage module, an intrusion detection module and a response warning module. After fusion and redundancy elimination of captured wireless data packages, network behavior features are extracted and stored; after deep learning of the network behavior features, a deep neural network model expressing network behaviors is established; and to-be-detected network data is input into the deep neural network model, after intrusion is judged and recognized, response and warning are performed. According to the method, network behavior feature vectors which are detected and are considered to be abnormal are stored and are used for training the deep neutral network. When occurring again, the intrusion types can be detected and recognized. While the model training and detection efficiency are guaranteed, the detection accuracy is improved, and the safety of the mobile ad hoc network is further improved.

A big data real-time storage, processing and querying system includes a distributed support module, a data acquisition module, a message-oriented middleware module, a data cleaning module, a data processing module, a data deep mining module, a data management module, a data querying module, and a system scheduling module; all the modules run under the coordination of the system scheduling module, and scheduling and circulation of data flows among all the modules can be achieved Processing flows among all the modules can be coordinated, and the date real-time performance is improved; effective improvement is performed for high throughput, mass data, fast response messages and data high availability; and then the comprehensive ability of a big data real-time data service system can be improved.

The invention relates to a network security situation awareness system and method based on information correlation. The system comprises a data acquisition module, a network security situation evaluation module, a network security situation prediction module and a network situation visualization module, wherein the data acquisition module is used for acquiring network essential information; the network security situation evaluation module is used for quantitatively analyzing threat, frangibility and stability of the network by utilizing the network essential information, thereby analyzing the current network security situation; the network security situation prediction module is used for predicting the network security situation according to historical information and current state of the network security situation; and the network situation visualization module is used for visually displaying network security indexes according to the analysis and prediction result of the network security situation. The invention solves the problem that the existing network situation awareness system lacks data validity verification, data correlation and quantitative analysis, so that the network security situation awareness is more accurate.

The invention relates to the technical field of electric vehicle safe operation, in particular to an electric vehicle battery monitoring and management system. The electric vehicle battery monitoring and management system comprises a vehicle control system body and at least one battery box. Each battery box is internally provided with multiple sets of batteries. The electric vehicle battery monitoring and management system is characterized in that each battery box is internally further provided with a battery detection unit and an action executing device; each battery detection unit comprises a data acquisition module, a CPU core processing module, a communication transmission module and an executing device control module; and each data acquisition module comprises an acquisition device for acquiring the battery module temperature, the battery voltage and current and battery module environment parameters. The invention further discloses a monitoring method of the batteries. The monitoring method of the batteries comprises the steps that the temperature, the voltage and the current of the module as well as the temperature, smoke, gas, flame and other parameters in the battery boxes are monitored; and an early warning or fire fighting signal is sent out when the performance of the batteries is suddenly changed or thermal runaway occurs. According to the electric vehicle battery monitoring and management system and the monitoring method of the batteries, the development stage of thermal runaway can be accurately judged by comprehensively analyzing and processing the various parameters inside and outside battery modules, so that the thermal runaway detection accuracy is improved.

The invention relates to a large-scale distributed network safety data acquisition method and system. The method comprises the steps of multimode data acquisition, data analysis and standardization and data distribution and transmission. The system comprises an acquisition agent module, a data acquisition module, a data analysis module and a data distribution and transmission module. With respect to data acquisition, multiple modes such as an active mode, a passive mode and a data stream mirror image mode are adopted, and comprehensive acquisition of various types of data is realized; with respect to data analysis, a data analysis and standardization mechanism based on strategies is adopted, original data are extracted, mapped, replaced, supplemented and the like by means of writing analysis strategies, and therefore quick analysis of a newly added data format and data standardization oriented to multiple application systems are realized; with respect to transmission, the multi-stage connection technology and the multi-path distribution technology are adopted, elastic combination, cascading deployment and multi-path distribution between acquisition systems are realized, and the requirements for vertical and horizontal expansion of a network environment and acquisition of mass data information are met.

The invention discloses a sensitive data protection system of the data circulation and transaction of a big data platform. The sensitive data protection system is characterized in that the sensitive data protection system of the data circulation and transaction of the big data platform comprises a data collection module, a data sharing module, a data exchange module, a data acquisition module and a desensitization management module, wherein the data collection module discovers sensitive contents in data collection and carries out protection processing on the sensitive contents; the data sharing module carries out the protection processing on the sensitive data in a data sharing process; the data exchange module carries out desensitization processing on a relative sensitive data configuration desensitization strategy in a data exchange process; the data acquisition module protects a data file downloading link and a storage address in a data acquisition process; and the desensitization management module manages, monitors and audits the desensitization and the protection processing of the sensitive data. The invention also discloses a sensitive data protection method of the data circulation and transaction of the big data platform.

The invention relates to a grid line loss monitoring and analyzing system, which utilizes data in an electric power automation system to perform real-time monitoring and analysis on grid line loss. The system comprises a data acquisition server, a database and an application server, wherein the data of the electric power automation system is connected with the data acquisition server through an FTP server and a data access interface; the data acquisition server comprises a data acquisition module and a line loss computation module; the database comprises an EMS data sheet module, a TMR data sheet module, a meteorological data sheet module and a line loss sheet module; and the application server comprises a basic data management module, an actual line loss analysis module, a theoretical line loss analysis module, a line loss comparative analysis module, a line loss statistical report module, a system configuration module, a user management module and a wiring diagram navigation module. By utilizing the conventional electric power automation system effectively, the line loss management level and working efficiency are improved, and a scientific basis is provided for the formulation and implementation of loss reduction measures.

The invention discloses a GPS (Global Position System) spatio-temporal data increment road network real-time updating and trace matching system, which comprises a data acquisition module, a GPS spatio-temporal data module, a data pre-processing module, a map trace matching module, a road network generating module and an increment road network updating module. According to the system, the acquired data recorded by a GPS positioner and provided with time and space attributes is pre-processed, a map is matched, a road is generated, a newly formed road section is compared with road network data recorded in a database, road network information is updated, and thus road network data is updated. According to the GPS spatio-temporal data increment road network real-time updating and trace matching system provided by the invention, the road network information is compared continuously with incremental data information, so that a real-time capability is realized, road position information is more accurate along with the increment of data, and roads which are not contained in the road network information are updated.

The invention discloses a health insurance outpatient clinic big data extraction system and method based on a hadoop platform. The system comprises a data acquisition module, a data storage module, a data cleaning module, a data analyzing and processing module, an Hbase distributed database and a data display module. The data acquisition module is connected with the data storage module, the data storage module is connected with the data analyzing and processing module through the data cleaning module, and a data query and analysis module is respectively connected with the Hbase distributed database and the data display module. The system and method have the advantages that a Hadoop cluster can be formed by thousands of cheap servers, a distributed file system cluster is constructed on large-scale cheap machines, data extraction and analysis cost is reduced to a large extent, and parallel processing can be carried out on outpatient clinic big data. Meanwhile, reliability and security of the data are well guaranteed by means of a transcript storage strategy of an HDFS.