55results about How to "Efficient Data Acquisition" patented technology

A technique is provided for enhancing performance of computer-assisted data operating algorithms in a medical context. Datasets are compiled and accessed, which may include data from a wide range of resources, including controllable and prescribable resources, such as imaging systems. The datasets are analyzed by a human expert or medical professional, and the algorithms are modified based upon feedback from the human expert or professional. Modifications may be made to a wide range of algorithms and based upon a wide range of data, such as available from an integrated knowledge base. Modifications may be made in sub-modules of the algorithms providing enhanced functionality. Modifications may also be made on various bases, including patient-specific changes, population-specific changes, feature-specific changes, and so forth.

A technique is provided for offering feedback, including feedback for patient care and for training purposes for medical professionals and human operators. The technique includes accessing data, such as image data, for evaluation by a human operator. The data is then analyzed via a computer-assisted data operating algorithm, and the analysis may further include analysis of supplemental data accessed from an integrated knowledge base. Based upon the analysis feedback is provided to the operator, such as for completing or complementing the evaluation, correcting analysis by the human operator, or otherwise informing the human operator of similarities or differences between the analyses.

Systems and methods for asynchronously acquiring seismic data are described, one system comprising one or more seismic sources, a plurality of sensor modules each comprising a seismic sensor, an A/D converter for generating digitized seismic data, a digital signal processor (DSP), and a sensor module clock; a seismic data recording station; and a seismic data transmission sub-system comprising a high precision clock, the sub-system allowing transmission of at least some of the digitized seismic data to the recording station, wherein each sensor module is configured to periodically receive from the sub-system an amount of the drift of its clock relative to the high precision clock. This abstract is provided to comply with rules requiring an abstract to ascertain the subject matter of the disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Systems and methods for acquiring seismic data are described, one system comprising one or more seismic sources, a plurality of sensor modules each comprising a seismic sensor configured to sample analog seismic data, each module comprising a comparing unit comprising software; wherein the software in each module tests clock quality by running a sigma-delta modulator from two different clock sources in the node and compares a noise-floor of the modulator when using the different clocks.

The invention discloses an efficient data management system. The system comprises an acquisition center, a data center and a user-oriented user center; a HADOOP cluster subsystem of the data center comprises a data integration module, a data cleaning module, a classification module and a data storage module; the data integration module is used for integrating multi-source heterogeneous data transmitted by the acquisition center through an SQL server so as to form structured data records; and the classification module is used for classifying the cleaned data. The system is capable of rapidly, efficiently and reliably carrying out data acquisition and data processing, and capable of providing application data for user subsystems in multiple industries. The data center is capable of completing big data, so that the processing and analysis of mass data become possible; and preliminary analysis is carried out on the mass data, so that data preparation is provided for the subsequent furtherapplication and analysis of users.

An on-line monitoring device for a mine ventilator relates to the technical field of a mine device. A transmission device comprises a switch and an optical transceiver, wherein the switch and the optical transceiver are connected. The optical transceiver is connected with an electric quantity sensor, a negative pressure and differential pressure detector, a winding temperature monitor, a vibrating sensor and a wind speed monitoring sensor. The switch is connected with a monitoring centre. The on-line monitoring device has the advantages of being high in real-time performance, safe and reliable, convenient to operate, and convenient for a user to maintain; the expandability of the system can be improved; the detection information is comprehensive; and the on-line monitoring device is easy to learn and easy to use.

The invention relates to a local data processing method of an electricity consumption information acquisition system, which is used for a local network of an electticity consumption information acquisition system, the local network comprises an energy router and an energy controller, the local network is a half-duplex communication network, and the local data processing method comprises the following steps: a data automatic collection step: realizing data automatic collection based on a channel competition mechanism with carrier sensing and conflict avoidance; a task distributed execution andoptimization scheduling step: realizing local data acquisition through a task generation stage and a data uploading stage; and a real-time internet-of-things sensing step: establishing an internet-of-things sensing network, and performing data acquisition and analysis. Compared with the prior art, the system has the advantages that data acquisition is more efficient and real-time, and effective monitoring and management of each terminal device are realized.

The invention relates to an intelligent household indoor environment information wireless collection device comprising a bearing shell, a dynamic data collection head, a temperature sensor, an air quality sensor, an illumination sensor, a human body detection device and a control circuit; an outer surface of the bearing shell is provided with at least a connection slide rail, and the dynamic data collection head is hinged onto an upper surface of the bearing shell via an adjusting mechanism; the temperature sensor, the air quality sensor and the control circuit are mounted in the bearing shell; the illumination sensor and the human body detection device are embedded in the dynamic data collection head; the control circuit is electrically connected with the temperature sensor, the air quality sensor, the illumination sensor, the human body detection device and the adjusting mechanism. The intelligent household indoor environment information wireless collection device can be flexibly and conveniently mounted at any indoor position and can be used for whole course data collection and monitoring of indoor environment and people activities in a high efficiency manner.

The invention discloses an intelligent warehouse logistics system comprising a data bank connected with a network, a cloud platform and a firewall, wherein the data bank is used for storing information with RFID (Radio Frequency Identification) object and sending received or processed information to the cloud platform by a network; and the cloud platform is used for feeding information filtered by the firewall back to a single-identification acquisition system, a boxing acquisition system, a box identification acquisition system and an automatic sorting system. The intelligent warehouse logistics system is applied to warehouse logistics in light industry, and improves the reliability of data in an information management system; according to the warehouse logistics system, data is acquired efficiently and accurately, so that the operation efficiency is improved; the remote wireless data maintenance is implemented, so that the high-efficiency centralized management is realized; checking is conducted by partitioning in real time, so that the stored dynamic data is updated in real time; the storage and delivery positioning management is implemented, s that human error can be prevented; and the production work capacity is improved accurately and efficiently.

The invention discloses a logistics management intelligent storage system in the field of logistics management technologies. The logistics management intelligent storage system comprises an acquisition module, wherein the acquisition module is electrically connected with a processing module in an output mode, the processing module is electrically connected with a query module in an input mode, the processing module is electrically connected with a display module in an output mode, and the display module is in bidirectional electrical connection with a feedback module. The logistics management intelligent storage system and a logistics management intelligent storage method provided by the invention reduce the amount of manual labor, improve the production efficiency, make storage products visual, reduce the risk of commodity deficiency, improve the accuracy and reliability of the storage information, acquire data efficiently and accurately, provide operation efficiency, automatically update storage and delivery data, reduce manmade error, decrease storage logistics cost of enterprise, are capable of real-time query, master storage quantity and vacant amount, are fast and accurate in inventory, and ensure that the commodity absence cannot be deficient.

The invention provides a multichannel data acquisition system, which comprises a power supply, M groups of sensor chips and a data acquisition module, wherein each group of sensor chips is composed ofN sensor units; the data acquisition module comprises at least N channels, at least M input ports and at least N output ports; each input port can be connected with one corresponding group of sensorchips in a connection or disconnection mode; each output port is connected with one channel in the at least N channels and can be connected with a ground wire in a connection or disconnection mode; the at least N output ports are configured to be allowed to be connected with the ground wire at the same time, and thus, when one input port is connected with one corresponding group of sensor chips, data of the N sensor units on the group of sensor chips can be acquired at the same time; or, the at least N output ports are configured to select one or multiple output ports to be connected with theground wire, and thus, when one input port is connected with one corresponding group of sensor chips, data of one or multiple corresponding sensor units on the group of sensor chips can be acquired.

The invention provides a network target range data acquisition system and method, and the system comprises a data control module which is used for formulating an acquisition strategy of traffic data of a network target range, analyzing the acquisition strategy, determining a physical calculation node where a traffic acquisition virtual machine is located, and transmitting the acquisition strategy to an acquisition soft probe on the physical node; each acquisition soft probe is arranged on the physical computing node, is connected with a virtual network card of the virtual machine, receives an acquisition strategy, acquires the flow of the virtual network card of the virtual machine according to the acquisition strategy, and sends the acquired flow data to the data analysis node through an independent host network card; and the data analysis node module is deployed on the physical computing node and is used for receiving and collecting the flow data sent by the soft probe and transmitting the flow data outwards.

The present invention provides a real-time Ethernet-based data acquisition system and a data acquisition method for a wind-driven generator. The real-time Ethernet-based data acquisition system for the wind-driven generator comprises a fan controller, a protocol converter, a data acquisition unit, a data server and a database. The fan controller is used for sending to-be-acquired data to the protocol converter based on the TCP protocol. The protocol converter is connected with the fan controller and is used for converting the TCP protocol of the fan controller into the real-time Ethernet protocol, and then sending the real-time Ethernet protocol to the data acquisition unit. The data acquisition unit is used for storing acquired data into a file at a certain time interval. The data server is used for acquiring a data file from the data acquisition unit. The database is used for storing the data file acquired by the data server. According to the technical scheme of the invention, the real-time Ethernet-based data acquisition system and the data acquisition method for the wind-driven generator are good in real-time performance and excellent in stability.

The invention discloses a ventilator monitoring system. The monitoring system comprises a main server, a mine flameproof and intrinsically safe programmable control box, a main fan and a dual fan connected to the mine flameproof and intrinsically safe programmable control box. Special switch for power fan, power supply switch for main fan, power supply switch, wind speed sensor and several gas sensors, flameproof and intrinsically safe programmable control box for mining is connected to the main server on the ground through underground ring network, power supply switch for main fan Connect with the dedicated switch for dual power fans. The invention can continuously monitor parameters such as fan air volume, on-off state, and air cylinder state on-line, and provides high-efficiency, stability, reliability, and real-time performance by controlling the start-stop of the motor of the rotary fan and remote graphic and text monitoring, communication, and self-inspection. Strong data collection, storage, management, analysis and other functions and control functions, realize unattended, and play a fan monitoring system with the effects of safety, staff reduction and energy saving.

The invention discloses a data acquisition method and device for imitation learning and a storage medium. The method comprises the following steps: constructing an SLAM (simultaneous localization andmapping) map of an environment in which an imitation learning task is executed by an imitation object; obtaining a target path of the imitation learning task in the SLAM map; performing data acquisition based on the target path, wherein the data comprises image data and pose data of the imitation object.

Signals derived from the brain or cerebral cortex are extracted by separating and removing influence of the skin blood flow included in NIRS signals. Provided is a biophotonic measurement apparatus to separate signals simultaneously measured with a plurality of irradiator-detector distances (SD distances) into brain blood flow-derived signals and skin blood flow-derived signals using SD distance dependency of signal amplitudes.

The invention provides a full-text search method for internet data. The method includes steps: performing basic data crawling and distributed storage on internet sites by the aid of an acquisition module of a search engine; analyzing acquired basic data by an analysis module of the search engine, building indexes for keywords to facilitate search of users. According to the full-text search method, data are efficiently acquired by the aid of a transaction control strategy, and data are mined according to a coupling relationship among multi-dimensional objects.

The invention relates to insect population trajectory prediction and pest control effect evaluation equipment based on laser radar and a layout method, and belongs to the technical field of agriculture and forestry pest monitoring and evaluation. The equipment comprises a moving device, a monitoring system and a computer terminal control system, wherein the moving device comprises a track and a loading vehicle, the loading vehicle is arranged on the track, and the monitoring system is arranged on the loading vehicle; the monitoring system comprises a camera, a laser radar, a carrying rod and a telescopic rod, wherein the telescopic rod is installed on the carrying vehicle through a rotating base, the carrying rod is arranged at the top end of the telescopic rod, the camera and the laser radar are arranged on the two sides of the carrying rod respectively, and the camera, the laser radar, the telescopic rod, the rotating base and the carrying vehicle are all connected to the computer terminal control system. The maneuverability and stability of the device are improved by using the surrounding type motion track, the monitoring range is wider, the monitoring dead angle is reduced, the flying direction and the motion track of insect groups can be automatically monitored and forecasted, and the pest control effect is evaluated.

The invention discloses a device and a method for parallel data transmission and storage based on dual-path data acquisition, and belongs to the field of embedded development. According to the device provided by the invention, a microcontroller is provided with three timers, namely a first timer, a second timer and a third timer; a DMA controller is provided with a first DMA and a second DMA, and a cache region is provided with a plurality of cache spaces. Furthermore, according to the method provided by the invention, once the microcontroller starts the third timer, the mutual control among the timers can replace to trigger the first DMA and the second DMA to respectively carry out data transmission, so that the DMA controller can automatically operate the data transmission, and the pipeline operation of the data transmission is realized. Moreover, the first DMA and the second DMA can synchronously transmit the data received by the two data acquisition modules and put the data into a cache region, so that synchronous parallelism of data acquisition, transmission and storage is kept, resources of the microcontroller are greatly configured, and efficient data acquisition, transmission and storage are realized.

The invention discloses a matrix-algorithm-based logic control system for a stereo warehouse and building. The logic control system is composed of a field layer, a monitoring layer and a management layer. The field layer being a basic unit of the control system consists of a sensor and an action execution unit and is used for controlling an end effector of a field controlled device to complete theaction of the basis unit and collection of a switch quantity measured by the sensor. The monitoring layer serving as a bridge between the field layer and the management layer includes an MCU, PLC orPC to complete filed layer monitoring and accept management of the management layer. The monitoring layer is able to receive and process state information of the field layer, feed back the informationto the management layer, receive an instruction of the management layer, and determine whether to perform the action based on the state information of the field layer. The matrix-algorithm-based logic control system has the advantages of carrying out installation and maintenance simply, having a simple structure, having high reliability, stability and safety, and lowering the cost.