70 results about "Online data processing" patented technology

Customer online data is collected via script on customer computers and is communicated to a server hosted by an organization, such as a card issuer. The customer online data communicated to the server is non-personally identifiable information (non-PII). In turn, the server aggregates the non-PII customer online data from the set of participating merchants. The server associates the received non-PII customer online data with non-PII demographic data. Other non-PII transaction data, such as previous transactions processed at a card issuer, also can be associated with the non-PII customer online data and non-PII demographic data. These associations are, in turn, used to create reports and to provide services to help merchants or other requesting organizations develop online strategies to drive click thru and conversion rates.

A system and method for mortgage application clearinghouse is disclosed. In particular, the present disclosure is directed to a centralized mortgage application recording system for online data processing, recording and maintenance of mortgage application-related data.

An agricultural harvesting system has an agricultural harvesting machine with at least one agricultural working unit that performs agricultural work, and an adjusting unit for adjusting the parameters of the particular working unit, a conveyor channel for a crop stream generated in a harvesting process by harvesting a field of crop, and an NIR sensor unit containing an NIR sensor which is configured for detecting constituents and/or properties of the crop stream. The crop stream in the conveyor channel can be guided past the NIR sensor. An on-line data processing unit controls the particular working unit, and generates control data on the basis of crop stream data which have been generated by the NIR sensor unit and correspond to the constituents and/or properties detected by the NIR sensor, and the adjusting unit carries out a parameter adjustment of the particular working unit on the basis of the control data.

The invention discloses a detecting method for displacement of hydraulic counter-blow hammer heads. Groove scales are carved on the lateral sides of the hydraulic counter-blow hammer heads vertically, detection sensors fixed on a support and opposite to the groove scales are used for sensing moving of grooves of the hammer heads, and when the grooves enter eddy current displacement sensor sensing areas, the detection sensors output a voltage signal changing continuously along with the displacement. The displacement in a blowing process of the hammer heads is determined through calculation by using the voltage signal detected and output in real time. The detection sensors are installed on the counter-blow hammer support, by machining the groove scales on the upper hammer head and the lower hammer head, the detection sensors or sensing devices are prevented from being installed on the hammer heads directly, and loosening and falling of the detection sensors or sensing devices due to violent vibration are avoided. By using the characteristic that an eddy current displacement sensor is fast in responding and by using online data processing, the displacement of the counter-blow hammer heads can be detected in the real time.

The invention discloses a bridge health monitoring method and system. The method comprises the steps of S1, building a bridge structure theory vibration modal; S2, collecting bridge vibration data; S3, utilizing an information processing module, and performing real-time online data processing on the bridge vibration data; S4, utilizing a structure modal analysis module, and on the basis of the bridge vibration data and the neural network computing technology, automatically performing intelligent judgment on structure damage. By means of the wireless communication technology, the bridge structure dynamic modal, and the structure damage neural network recognition technology, the problems that in the prior art, only a local bridge structure is reflected, the bridge damage is not likely to berecognized, the cost of a data collection sensor is high, the service life is short, mass data cannot be analyzed in real time, online real-time monitoring is performed, and time and labor are wastedare solved, the automatic bridge health monitoring system can achieve integrated bridge structure analysis, automatic damage recognition and online real-time mass data analysis, and a large number ofmanpower and material resources are saved.

The embodiment of the invention discloses a data processing method, device and system applied to a database cluster. A specific embodiment of the method comprises the following steps: receiving a dataprocessing request, wherein the data processing request comprises to-be-processed data; determining a target database sub-cluster corresponding to the data processing request according to a routing scheme generated by a preset routing rule, and determining whether the target database sub-cluster has a fault or not; and determining a target disaster recovery database sub-cluster corresponding to the target database sub-cluster in response to determining that the target database sub-cluster has a fault. According to the embodiment, on one hand, the time for processing the data processing request corresponding to the database subcluster when the database subcluster breaks down can be shortened, so that the requirement for processing the online data processing request in real time is met, andon the other hand, the overall stability of the database cluster can be improved.

The invention relates to a distributed database based sql statement processing method and belongs to the technical field of storage and computing technology for online data processing and later data processing. The method is based on a distributed database, tables are stored in multiple database modes, sql statement input is performed and includes addition, deletion, modification and lookup operations, and sql execution results are output. The method is applied to insertion, update, deletion and query for online data processing and is especially applied to cross-node connection, cross-node sub-query and other complicated logics under the large data volume situation.

The invention provides a system and method for collecting and feeding back massive sensor data. The method comprises the following steps of: collecting data and a request uploaded by a sensor by a sensor data uploading interface and distributing the data and the request to a gateway; forwarding the request to a service processing node cluster by the gateway; processing the data by the service processing node cluster, and distributing the data and the request into a message queue and a log service; sending the collected data and request into a distributed file system by the message queue and the log service, and sending the collected data and request to an online data processing engine; receiving the data sent by the message queue and the log service by the online data processing engine, carrying out real-time screening and processing on the data to obtain local optimum model parameters and sending the local optimum model parameters to a model verification component; storing massive data by the distributed file system, processing the massive data stored in the distributed file system by an offline data processing engine so as to obtain global optimum model parameters and sending theglobal optimum model parameters to the model verification component; and scheduling the online data processing engine and the offline data processing engine by a scheduling engine.

The invention provides a data processing method and device, computer equipment and a storage medium. The method comprises the following steps: determining a target plug-in matched with a data processing demand of a target service system in at least one plug-in; generating a job for performing data processing on the target service system in response to an editing operation on the job attribute in the configuration page of the target plug-in; generating a job flow of the target service system according to at least one job used for performing data processing on the target service system; under the condition that the user sending the data processing request has the processing authority to the target service system, the target operation flow of the target service system indicated by the data processing request is called to process the data of the target service system pulled in the database cluster. According to the method, data processing of various data processing scenes is realized through a unified data development system, so that the development difficulty can be reduced, the development efficiency can be improved, and the online data processing capability can be improved on the basis of simplifying the data processing operation.

The invention relates to a simulation device for dynamic real-time monitoring and analysis of heavy metal pollutant release from solid waste and an application thereof. The simulation device is suitable for dynamic real-time monitoring and online data analysis of heavy metal pollutant release from coal gangue under various working conditions, especially under temperature-pressure coupling conditions. A leaching device comprises a leaching state simulation unit, a pressure water supply and gas supply unit and a heavy metal pollutant online monitoring and data processing unit. The leaching statesimulation unit is provided with a water mist space, a sample filling space and a leachate collection space. The leaching state simulation unit also has a hot bath heating function. The pressure water supply and gas supply unit can provide spray liquid and gas of certain pressure for the leaching state simulation unit. The heavy metal pollutant online monitoring and data processing unit can realize real-time monitoring and online data processing of the heavy metal ion concentration in the coal gangue leachate. The device of the invention has the advantages of simple structure, convenient operation, high degree of automation and intelligence, and high accuracy of dynamic leaching simulation effect.

The invention discloses a brain-computer interface system which comprises a brain electrical signal collecting electrode, an analogue signal processing module and a digital signal processing module, wherein the analogue signal processing module comprises a prefixed amplifying circuit, an anti-aliasing filter circuit and a DC offset circuit; the digital signal processing module comprises an analog-digital converter, a microcontroller, an ARM processor and a wireless transmission circuit; the brain electrical signal collecting electrode inputs an acquired signal into the prefixed amplifying circuit, outputs of the prefixed amplifying circuit are separately connected to the anti-aliasing filter circuit and the DC offset circuit, and the output end of the DC offset circuit is connected to the prefixed amplifying circuit; and the output end of the anti-aliasing filter circuit is successively connected to the analog-digital converter, the microcontroller, the ARM processor and the wireless transmission circuit. By reasonably designing a hardware circuit and a digital circuit, a brain electrical signal with a high signal to noise ratio can be acquired; the circuit structure is simple; and the volume of interface equipment can be reduced, real-time online data processing can be realized, and the system can be widely applied to actual life.

The invention discloses a mobile mechanical battery interchanging device and a mobile mechanical battery interchanging method; the main content includes that an installing base of a mobile mechanical power device is separated from an interchanging battery body, and a reloading base is fixed on a machine body; the interchanging battery body is used as an interchanging piece and provided by the third party charging service provider; a producer performs standard design of specification on the reloading base and the interchanging battery body, so as to reach the interchanging and circular use of different brands of machines between the same type of interchanging battery bodies. The interchanging battery body has the rent service provided by the interchanging battery service provider; the system is provided with an online data processing device of related links to take charge of processing related data. Consumers can rapidly mount the charged interchanging battery body at the battery charging station nearby without waiting, and then settle related cost by month. The device and method can effectively overcome difficulty of too long charging time of the existed electric automobile.

The invention belongs to the technical field of ocean equipment and relates to a ship-borne underway type air-sea flux observation system. The system comprises an atmospheric sounding subsystem, an underwater measurement subsystem, a multi-sensor data integration system, a gas pipeline and a data transmission cable, wherein the atmospheric sounding subsystem is located on a bracket platform of a bow, is used for acquiring atmospheric multi-element medium and data, and is connected with the multi-sensor data integration system through a gas path pipeline and the data transmission cable; the underwater measurement subsystem is located in a cabin and is used for acquiring, processing, storing and displaying the underwater multi-element medium and data; the multi-sensor data integration systemis located on a deck and is used for receiving, processing, storing and outputting the data. The ship-borne underway type air-sea flux observation system provided by the invention is ocean survey andmeasurement technical equipment integrating functions of an atmospheric multi-element observation system and an underwater multi-element observation system, and data real-time display and online processing functions and the like, and can be used for synchronously and stably carrying out synchronous stereoscopic comprehensive observation on a plurality of factors for influencing an air-sea mutualeffect in an ocean environment.

The invention provides a visual dragging online data processing method and system. According to the visualized dragging online data processing method and system, visualized modeling processing and self-service analysis processing can be carried out on the structured data, the semi-structured data and the unstructured data at the same time; and different types of charts are generated according to the different types of data, so the data application operation of at least one of data image selection, data binding, data screening and data drilling can be directly completed in a dragging operationmode, thereby greatly improving the efficiency and accuracy of processing the different types of data.

The invention discloses an integrated online rain condition monitoring device, which comprises a sensor group, a rain condition information acquisition and storage unit, an online data processing module, a power module, an upper monitor, a plurality of lower receiving terminals, a plurality of mobile terminals and an expert system server, wherein the mobile terminals are held by related staff with hands, the expert system server is used for automatically analyzing information acquired by the sensor group and obtaining weather condition information about a monitored area in a plurality of days in the future, the lower receiving terminals are respectively mounted in a water conservancy monitoring department for synchronously observing rain condition information about the monitored area on line, and the online data processing module is in wireless bidirectional communication with the upper monitor, the lower receiving terminals and the mobile terminals. The integrated online rain condition monitoring device is reasonable in design, low in power consumption, convenient in layout, simple and convenient in operation, reliable in performance, wide in coverage and capable of automatically acquiring and wirelessly transmitting rain condition monitoring data without geographical limitations, and acquiring multi-aspect data of weather and rain conditions.

The invention discloses a method, system and device for automatically calculating the total pollution discharge amount of an industrial enterprise and a medium. The method comprises the following steps: step 1, calculating an online data processing result according to an online data statistical rule; step 2, calculating a manual data processing result according to a manual data statistics rule; step 3, obtaining a coefficient method data processing result; and step 4, processing the online data processing result, the manual data processing result and the coefficient method data processing result to obtain environmental protection tax data. Compared with the prior art, the method, the system, and the device for automatically calculating the total pollution discharge amount of the industrialenterprise and the medium have the advantages that a data processing and analyzing function module combination is established, various rule conditions are preset for logic adaptation, and effective data and condition input items are combined through the modular function combination. Statistical calculation of the discharge amount and the environmental protection tax is carried out, the calculation efficiency and accuracy are improved, and an environmental protection management department is effectively helped carry out statistics and reporting work.

The invention discloses an on-line state diagnosis device and method for a water turbine unit shafting power system. The device comprises water turbine LVDT (Linear Variable Differential Transformer) sensors, wear indicator and an on-line data processing device; a plurality of water turbine LVDT sensors are respectively arranged inside a water turbine unit, each water turbine LVDT sensor is connected with a wear indicator, and the wear indicators are connected with the on-line data processing device via output buffer interfaces. The device and the method have the advantages that the device acquires data via the buffer interfaces of a water turbine sealing ring wear indicator front panel, so that safety operation of the unit is not influenced. By using the sensors of sealing ring wear indicators, the device is low in manufacturing cost and convenient to maintain for field installation-free operation of the water turbine.

The invention discloses a power equipment online data processing method. The method comprises the following steps that firstly, a data judgment module is used for judging online data according to procedures, outlier analysis, threshold analysis and the like; secondly, the data obtained after judgment in the first step is subjected to processing such as noise reduction, filtering, invalid value elimination, data filling and clustering analysis through a data processing module; thirdly, the data obtained after processing in the second step is subjected to consistency processing such as differential, accumulation and time interval extreme value solving, and then correlation analysis, time series analysis and other comprehensive analysis and processing. By means of a series of processing suchas judgment, cleaning and comprehensive analysis of the power equipment online data, the advantages of being simple, efficient, high in reliability and the like are achieved.

The invention provides a method and system for positioning a sub-synchronous oscillation online disturbance source of an electrical power system. The method comprises the steps: setting a current nodeaccording to acquired phase voltage and phase current data of each node of the electrical power system during normal operation of the electrical power system; searching for nodes connected with the current node according to a memorized search algorithm, comparing the online data processing results of the current node and its connected nodes, and positioning a sub-synchronous oscillation source. The technical scheme provided by the invention adopts the memorized search algorithm, so that the calculation amount is greatly reduced, and the speed of online positioning is improved.

The invention aims to overcome the defects of an existing aluminum electrolysis cell superheat degree state recognition method. The invention provides an aluminum electrolysis cell superheat degree state recognition method and system based on a 3D convolutional neural network. The system comprises a video acquisition module, a data processing module and a superheat degree state recognition module,the data processing module comprises a sample data processing module and an online data processing module, and the superheat degree state recognition module comprises an offline learning module and an online prediction module. According to the aluminum electrolysis cell superheat degree state recognition method based on the 3D convolutional neural network, the applicability of the aluminum electrolysis cell superheat degree state recognition method is ensured, and meanwhile the superheat degree recognition accuracy is improved.

The invention discloses an online data processing method. The method comprises the steps of (1) defining attributes of product tags and rule sets of the product tags; (2) sharing and downloading the product tags; and (3) screening data by utilizing the product tags. According to the method, the tediousness of repeated data rule sets in conventional trading data screening is avoided; and meanwhile, trading analyzers unfamiliar with specific products also can download the product tags of other users to perform data screening.