11153 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.

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.

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.

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.

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 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.

The embodiment of the invention discloses a transportation supervising system based on the Compass Navigation Satellite System. The transportation supervising system comprises two sections: a vehicle-bone terminal and a supervising command center, wherein, the vehicle-bone terminal comprises: a Compass terminal communication module which is used for collecting the location information of the vehicle and carrying out data transmission with the supervising command center, a data collecting module which is used for monitoring all the relevant data information of the associated vehicle, a data analysis module which is used for judging whether the transportation of the vehicle is normal or not, and making early alarming or alarming when abnormal condition occurs, and an alarming module which is used for alarming the driver. The supervising command center comprises: a Compass link communication module which is used for establishing a data channel with the vehicle-bone terminal, a real-time vehicle supervision module which is used for directly displaying the received information to an electronic map for the sake of the reviewing of staff on duty in the supervising center, and an alarming module which is used for alarming the staff on duty in the supervising center.

The invention relates to a high-precision map generating system and method, wherein the system comprises: a data acquisition module that acquires driving data of each trajectory point on a vehicle driving trajectory and plane xy coordinates on trajectory points on a road center line in accordance with vehicular DGPS (differential global positioning system) data provided by a DGPS and image data ofa scene in front of a vehicle provided by a camera; a data processing module connected with the data acquisition module and which generates the road center line according to the driving data of the trajectory points and the plane xy coordinates of the trajectory points on the road center line, and acquires structural information of a whole map by generating road topological relation according tothe road center line; and a map display module connected with the data processing module. By fusing image information acquired by the camera and the DGPS information, a high-precision map can be generated at low cost.

The invention discloses an industrial Internet of Things system based on edge computing, and the system comprises a data collection module, an edge gateway, and a cloud processing platform; the data collection module is used for collecting the original data of a field device; The edge gateway is used for converting the original data into standard data, carrying out real-time analysis on key data in the original data, carrying out real-time intelligent processing on the field equipment according to an analysis result, carrying out classified packaging on the standard data, carrying out protocolconversion on the standard data, and sending the standard data to the cloud processing platform; And the cloud processing platform is used for carrying out data analysis, system monitoring and energymanagement according to the data from the edge gateway, and sending a data analysis result to a corresponding Internet of Things application. Through the edge gateway, the data transmission cost canbe effectively reduced, and the real-time decision and response of the key service can be ensured; By utilizing the powerful management capability of the cloud platform, mass data access is supported,a safe and reliable message processing capability is provided, and enterprises are assisted to integrate value chains and quickly construct innovative Internet of Things services.

The invention discloses an online learning cognitive map generation system and method for representing the knowledge learning mastering state of a leaner in a specific field. The system comprises an intelligent terminal and a server. The intelligent terminal is used for online learning interaction. The online learning cognitive map generation system runs in the server comprising a knowledge graph construction module, a learning interaction data acquisition module, a knowledge state calculation and prediction module and a visual output module. The online learning cognitive map generation system and method are suitable for a common online learning platform and can simulate the cognitive structure of the learner and diagnose the learning defect of the leaner to provide personalized learning resources and social network services for the learner, so that learning confusion is reduced, cognitive loads are reduced, and learning pertinency and accuracy are improved.

The invention provides a system and a method for predicting the coal and gas outburst risk of a mine in real time, which relate to a system and a method for judging mine natural disaster of coal and gas outburst risk degree through combination of artificial intelligence and expert analysis. The system uses a microseismic signal for reflecting the ground stress intensity and the gas outburst quantity for reflecting the gas change as analysis parameters to be combined with the expert experience, and can improve the predicting accuracy of the coal and gas outburst risk to high than 90 percent. The system and the method are characterized in that the system mainly consists of a data collection module, a data transmission module, a real-time data tracking and analysis center and an integrated early warning module, wherein after the data collection module collects underground data, the data is transmitted to the real-time data tracking and analysis center through the data transmission modulefor calculation, analysis and reasoning, and the integrated early warning module gives the early warning when a reasoning result shows that the risk occurs. The invention is applicable to similar mines with the coal and gas outburst risk.

The present invention provides an energy management system which comprises a data acquisition module, an energy real-time monitoring module, an energy planning management module, an energy comprehensive statistics module, an energy efficiency diagnosis and optimization module, a benchmarking evaluation module, an energy cost analysis module, an environmental-friendly discharge monitoring module and a basic data management module. According to the present invention, an automatic and information technology and an integrated management mode are adopted; production information of different workshops, such as energy consumption, output, production processes, product quality and the like, is integrated; integrated flattened comprehensive dynamic monitoring and digital management are adopted for the four links of purchase and storage, processing and conversion, conveying and distribution and consumption and use; energy balance is improved and optimized; and the management and control integrated system which systemically saves energy and reduces consumption is realized.

The invention relates to an autonomously working monitoring system (10), a method for monitoring and maintenance of power grid distributed power generation devices (14) and a related computer program product. The system comprises at least one power performance monitoring unit (12) for monitoring, analyzing and storing at least power performance data (70) of at least one power generation device (14);

• at least one power generation device (14) comprising at least one power generation module (16) for generation of electric power and at least one inverter module (18) for feeding in electric power of said power generation module (16) to a power grid (20);
• and an external network (22) connecting one or more power generation devices (14) with said power performance monitoring unit (12).

The power generation device (14) further comprises

• at least one data acquisition module (24) for measuring of power output of each power generation module (16);
• at least one inverter measuring module (26) for measuring of power output of said inverter (18) to the power grid (20);
• a data interface module (28) in power line communication with said data acquisition module (24), and in communication with said inverter measuring module (26) and said external network (22) for sending power performance data (70) of said power generation device (14) to said power performance monitoring unit (12) including power generation module ID (66) and inverter ID (68), and/or for autonomously sending a maintenance notice for requesting a maintenance action based on at least a specific power performance pattern.

The invention discloses a driving behavior analyzing and reminding method and system. A data collecting module sends collected driving data to a data processing module, the data processing module preprocesses and sends the data to a wireless communication module, the wireless communication module performs transmission through a transmission module, the data are sent to a remote server through the transmission module, the data are received through a data receiving module, the received data are analyzed and fall into a database, a data analysis module analyzes the uploaded data in real time or analyzes the record of the database to generate a user driving prompt, a monitoring feedback module monitors the analysis result of the automobile data in real time, and when a vehicle-mounted terminal receives the early warning result through the transmission module, an early warning and reminding module can send the prompt to a user. The driving behavior of a driver is recognized and preestimated by analyzing internal automobile body data and external road condition data in the automobile driving process, the bad driving behavior of the driver can be assessed more comprehensively and accurately, and the driver is reminded in time.

The invention relates to the fault diagnosis technology of a variable-frequency air conditioner and discloses a fault diagnosis control method for the variable-frequency air conditioner. The fast diagnosis and the precise positioning on the fault of the variable-frequency air conditioner are realized. The method comprises the following steps that a, corresponding control instructions are sent to the variable-frequency air conditioner through an intelligent control module for controlling the operation state of the variable-frequency air conditioner; b, a data collection module carries out real-time monitoring on the operation state of the variable-frequency air conditioner and collects environment parameters and operation parameters of the variable-frequency air conditioner; c, a fault diagnosis module calculates the environment parameters and the operation parameters of the variable-frequency air conditioner collected by the data collection module to obtain operation state curves of each part and the integral operation state curve of the variable-frequency air conditioner, then, whether the variable-frequency air conditioner has faults or not is judged according to the change trend of each curve, and the fault reason and the fault device are judged when the fault exists; and d, fault diagnosis results are displayed through a display module. In addition, the invention also discloses a fault diagnosis control system of the variable-frequency air conditioner, and the fault diagnosis control system is applicable to the fault diagnosis and the maintenance on the variable-frequency air conditioner.

The invention brings forward a smart diagnosis device of the Internet of Things. The smart diagnosis device comprises: a vehicle data acquisition module for acquiring multiple operation data of a vehicle; a vehicle data analysis module for analyzing the multiple operation data so as to generate condition data, positioning data and alarm data of a vehicle; a communication module for sending the condition data, the real-time position data and the alarm data of the vehicle from the vehicle data analysis module to a cloud end device through a base station and further forwarding the condition data, the real-time position data and the alarm data of the vehicle through the cloud end device to at least one client so as to enable a user at the client to obtain the running state of the vehicle. According to the invention, the smart diagnosis device of the Internet of Things can enable the user to timely master the current state of the vehicle, provides rich position services, and enables a vehicle owner to easily understand the condition of his vehicle, improve his driving habits and obtain such information as a travel report and the like.

The present invention discloses parallel mass data transmitting middleware of Internet of things and a working method thereof. The invention includes: a data collection module, for forwarding data collected from different types of sensors to an application interaction module after analysis; the application interaction module, for achieving communication between the parallel mass data transmitting middleware of the Internet of things and an application system of the Internet of things, analyzing a control command of the application system of the Internet of things, transmitting to the data collection module, and further transmitting the analyzed sensor data to a data management module; the data management module, for performing data screening, fusion, conversion on the mass data analyzed by the application interaction module, and finally storing the calculated data into the application system of the Internet of things; and a developing regulation module, for setting out a protocol plug-in regulation, a communication channel plug-in regulation, a service field metadata plug-in regulation, etc. The present invention can meet high concurrency access and management of the large scale sensing apparatus of different application fields, various communication channels and various communication protocols.

The invention discloses a big data development standardized systematic classification and command set system. The system comprises a data acquisition module which acquires data in a relational database and a local file and stores the data in a big data platform, a data processing module which cleans the data in the big data platform to be in a defined format according to a user demand and performs statistics and analysis, a data source and SQL engine module which imports and exports the data among the relational database, the local file and the big data platform and is connected to an NOSQL database, a machine learning algorithm module which analyzes correlation among the data in the big data platform, classifies the data and analyzes a new data relationship according to existing correlation among the data, a natural language processing module which processes a natural language in the data of the big data platform, and a search engine module which provides a data retrieval service according to a user request and displays a retrieval result to a user, wherein the natural language processing comprises the execution of article abstracting.

The invention relates to a four-wheel independently driven electric vehicle torque distribution control method and a four-wheel independently driven electric vehicle torque distribution control system. The method comprises the following steps of (1) acquiring a driver operation action signal and vehicle driving parameters in real time, and after pre-processing the acquired data, storing the data; (2) according to the data acquired in the step (1), identifying the current driving intention of a driver; (3) according to the driving intention identifying result, adopting a corresponding control policy to control, and according to the control policy, sending a torque control order to each driving motor. The system comprises a data acquiring module, a driving intention identifying module and a torque distribution control module which are sequentially connected. Compared with the prior art, torque can be reasonably distributed to four wheels according to the driving intentions of the driver, such as ordinary acceleration, fast acceleration and turning driving, the energy utilization of the finished vehicle is improved, meanwhile, the driving stability of the vehicle under a limited condition can also be improved, and the advantage of independent driving is fully played.

The invention provides a physical education teaching auxiliary system based on a motion identification technology and an implementation method of the physical education teaching auxiliary system. The system is applicable to a personal computer (PC) or an embedded host. The system comprises a movement data collection module, a movement data acquisition module, an identification and training module and a virtual teaching environment module. The device is characterized in that: a micro-inertia measurement unit and an inertia parameter extraction unit are arranged in the movement data collection module; and a movement information resolving unit transmits data which is output by the inertia parameter extraction unit to a multi-sensor data fusion unit for resolving. The movement situation of a target is reflected comprehensively in an inertia tracking mode and an optical tracking mode, so a tracking range is effectively expanded, measurement accuracy is improved, and the problems that the integral information of the target cannot be acquired in the inertia tracking mode, complicated movement identification cannot be performed and sensitivity is poor are solved. A brand new teaching mode is provided for physical education teaching, and a physical education teaching method is digitalized, multi-media and scientifically standardized.