170 results about "Data scatter" patented technology

According to one aspect of the invention, a method of estimating geological location depths by converting horizon data from the time domain to the depth domain is provided, wherein the method comprises at least a data accumulation step and a data evaluation step, wherein the data evaluation step further comprises assignment of greater statistical weight to data derived from closer data acquisition points than to data derived from further data acquisition points using a weighted regression analysis, with distance being one of several weighting criteria. According to a further aspect of the invention, a method of estimating geological location depths is provided, wherein the method comprises a continuous, layer-by-layer computation of geological formation depths achieved by extracting values from horizon time data set at an exact geographic location of the next deeper horizon, thereby allowing interval computations to be carried out without the need for gridding. According to a still further aspect of the invention, a method of estimating geological formation depths is provided, wherein the method comprises estimating an expected error based on data scatter, and then allowing an alternative solution to be either partially or fully employed in areas where the accumulated data is insufficient to determine an acceptably reliable geophysical model.

A method begins by a processing module determining a performance based indication regarding storage of a data segment as a set of encoded data slices and comparing the performance based indication with a performance threshold. When the performance based indication compares unfavorably with the performance threshold, the method continues with the processing module decoding the set of encoded data slices to reproduce the data segment, adjusting error coding dispersal storage function parameters based on the unfavorable comparison of the performance based indication with the performance threshold to produce performance adjusted error coding dispersal storage function parameters, encoding the reproduced data segment in accordance with the performance adjusted error coding dispersal storage function parameters to produce a second set of encoded data slices, and selecting a storage set of encoded data slices from the set of encoded data slices and the second set of encoded data slices.

The invention discloses a cloud computing system for data scatter storage. The cloud computing system comprises a cloud computing server group; a middleware server further comprises a data partitioning module and a distributing module; after a user uploads a to-be-computed data packet to the middleware server, the data partitioning module is used for partitioning the to-be-computed data packet into n data blocks to generate a file including partitioning information and binding the file including the partitioning information with one data block, and the distributing module is used for respectively storing the n data blocks to n governable cloud computing servers; a load detecting module is used for detecting load, the governable server with the smallest load is the current server, the distributing module is used for copying (n-1) data blocks onto the current server, and the current server is used for combining the n data blocks into the data packet according to the partitioning information, and computing the combined data packet to obtain a computed result. Even if other users try to visit the data of the user, only a part of the data rather than all data can be visited, so that the security of the user data is ensured.

The invention discloses a state monitoring and fault diagnosing method for rotating mechanical equipment based on systematic cluster analysis and Fisher discriminant analysis. The method includes the steps that empirical mode decomposition is carried out on obtained monitoring data in a normal state and various fault states to extract energy feature vectors; based on systematic cluster analysis, the separability among samples is verified, and the influence on the dispersibility of sample data is eliminated; on the basis, discriminant analysis functions are extracted, a discrimination totality is built, and faults are diagnosed according to the real-time state monitoring data of the rotating mechanical equipment. Hot problems of online fault diagnosis for rotating mechanical equipment are solved, and intelligent fault diagnosis for the rotating mechanical equipment is achieved. A state monitoring and fault diagnosing model can be set up without the fault state data of a plenty of samples or full-life state monitoring data, dependency on the data is reduced, operability is improved, and the state monitoring and fault diagnosing method has high engineering applicability.

The invention discloses an HTTP streaming media live broadcasting method and system based on multiple TCP links. According to the method and system, the transmission speed can be obviously increased, the problem of playing lagging caused by network congestion or packet dropout is solved, the live broadcasting with a higher code rate can be supported, and the user experience can be improved. According to the technical scheme, through the linking and binding technology, the multiple TCP links are related with one another on the service side, and streaming type data are dispersed to all the links to be transmitted. A client side splices the segmentation streaming type data received by all the links and can then conduct playing.

The invention relates to a data interaction method, system and device based on multiple data platforms and a storage medium, and aims to solve the technical problems that data is dispersed in different departments, and the working efficiency is reduced because the departments often lack cooperation and cannot use the data of the opposite side. The method includes: registering a resource source andtaking the resource source as a resource providing platform; editing the resource fields needing to be shared or displayed to form a resource directory; submitting the resource directory to big datamanagement department equipment for approval; publishing the resource directory according to the obtained approval information; enabling the resource subscription equipment to determine a subscriptionprocess of the resource directory according to the sharing attribute of the resource providing platform; enabling the resource subscription device to subscribe to the resource data from the resourcesharing platform according to the subscription process; and enabling the resource subscription equipment to call the resource data from the resource providing platform according to the resource catalogue to perform data exchange. The method, system and device have the effect of achieving sharing of data resources among different departments so as to improve the working efficiency.

The invention discloses a big data application method for environmental supervision law enforcement decision. The method comprises the following steps: data acquisition and integration: cleaning and integrating government affair data resources of internal and external pollution sources, and converging and integrating multi-source data; data mining analysis: analyzing the aggregated and integratedmulti-source data; generating an information clue: generating the information clue for environmental supervision and law enforcement according to the data analysis result, and managing the informationaccording to the weight; generating an intelligence portrait: labeling the enterprise problem according to the generated intelligence clue to generate an enterprise intelligence portrait; informationclosed-loop application: carrying out information research and judgment, information dispatching, information processing and result feedback closed-loop application management according to the information clues; and evaluating the efficiency of the information: evaluating the research and judgment, order dispatching and settlement conditions of the information according to the information processing conditions. By adopting the method provided by the invention, the problems that the environmental protection data dispersion data cannot be effectively applied and the like are solved, and the timeliness and accuracy of law enforcement can be improved.

Provided is a process that includes: obtaining a first request by a first program associated with a first sub-partition of a first partition of a tamper-evident data store of a decentralized computing platform to read data stored in either (i) a second sub-partition of the first partition of the tamper-evident data store of the decentralized computing platform, or (ii) a second partition of the tamper-evident data store of the decentralized computing platform; determining with a subset of peer computing nodes of a set of peer computing nodes that the first program is authorized to read from the second sub-partition or the second partition; and in response to the determination, causing the requested data to be read from the second sub-partition or the second partition.

The invention discloses a network linkage management method and a digital police linkage management method. Video information is acquired by using a data source layer. The video information of the data source layer is captured and stored by using a video access layer configured at a client front end. An application layer performs information interaction with a big data computing layer and is configured for providing at least one functional requirement. The big data computing layer performs intelligent analysis and data mining on the video information transmitted by the video access layer according to the requirement. The problems of dispersed and concentrated storage and coexistence and multistage distribution of the massive video data can be solved through fusion of the big data technology and the video monitoring service so that the read-write efficiency of the unstructured video data can be enhanced, and the end-to-end solution can be provided for quick retrieval and intelligent analysis of video monitoring.

The invention provides a method for sharing data in WEB page flow and the client end devices thereof, making the client end devices identify shared data in WEB pages to disperse the course that server identifies shared data in the WEB pages to all client ends so as to save processor resources of the server; storing the shared data into the client ends to disperse the shared data stored in the server to all client ends so as to storage resources of the server; storing the shared data into the client ends to make a browser need not to firstly send data to the server and then make the server return the shared data to the browser in the course that the browser submits the shared data from one page to another page for display, so as to avoid shared data transmission between client end and server, thus saving network transmission resources and improving server performance.

The invention discloses a data scatter storage method, a data recovery method and a data card which has the functions of data scatter storage and cross recovery. According to the technical scheme provided by the invention, original data can be stored in a scattered manner in a plurality of data cards according to a predetermined rule, so that each data card automatically stores corresponding part of data according to the serial number index of the card and stores part of data in other data cards in a cross mode. Therefore, original data stored in all data cards can be recovered just by the any more than half of data cards. Efficient, convenient and raid data reduction is realized while data is safely protected.

The invention provides an anti-money laundering suspicious transaction monitoring method and device. The method comprises the following steps: obtaining anti-money laundering data, wherein the anti-money laundering data comprises client data, transaction data and account data; standardizing the anti-money laundering data to generate a basic data table; calling an anti-money laundering suspicious model to perform data screening on the basic data table to generate a screening result; and determining a suspicious transaction by using the screening result. According to the invention, the anti-money laundering suspicious model is used for screening the anti-money laundering data; suspicious transactions are determined through screening results, the problems of data dispersion, insufficient dataanalysis early warning capability and the like in the anti-money laundering work field are solved, and meanwhile, the monitoring efficiency and the monitoring accuracy of anti-money laundering monitoring are improved, so that the detection quality is greatly improved in an enterprise range.

The invention relates to video cloud storage and discloses a video cloud storage system based storage and extraction performance balancing method and device. The method includes: dividing acquired data into data blocks according to capacity and storing the data into different storage equipment of at least one storage server in a scattered manner; when extracting the data, acquiring information of the storage servers where the to-be-extracted data are located, wherein the information includes the size of the data blocks and the level of system loads; under the premise that scattered storage priority is guaranteed, formulating extraction strategies with user defined priority according to the information of the storage servers; concurrently extracting the data from the storage servers according to the extraction strategies. The data are stored in the different stored servers in a scattered manner, so that system resources are effectively utilized; under the premises that the scattered storage priority is guaranteed, the data are concurrently extracted from the different storage servers according to the extraction strategies, data security is guaranteed, the data can be extracted effectively, and confliction in preemption of the system resources in data storage and extraction is reduced.

The invention discloses a method for monitoring the operation performance of a large-scale wind turbine generator. The method comprises the following steps: 1, acquiring operation data and preprocessing data; 2, dividing wind speed intervals; 3, dividing an operation area; and 4, carrying out performance anomaly determination. According to the technical scheme, operation area division is conductedon a data scatter diagram shape of the wind speed interval where low-efficiency data points are prone to accumulation, the whole operation space is divided into a normal operation area and a low-efficiency operation area, and the abnormal state of the operation performance of a unit is judged based on two quantitative indexes of a low-efficiency regional area and the low-efficiency data proportion.

The invention discloses a parameter identifying method for airplane trial flight data. The method comprises: acquiring trial flight data; selecting a dependent variable as dependent variable data, selecting a plurality of independent variables as independent variable data and generating data scatters; carrying out geometric topology operation on all data scatters and mapping the data scatters into a multi-dimensional space; calculating the linear independent base function of each dimension in the multi-dimensional space; utilizing a linear independent function to fit all of the data scatters into a multi-dimensional curved surface; and based on the multi-dimensional curved surface, carrying out curve fitting on the dependent variable data and single independent variable data in the independent variable data so as to obtain a function relationship of the dependent variable data and single independent variable data. By calculating and fitting the multi-dimensional curved surface and decoupling the variables, the parameter identifying method does not need to carry out physical modeling and simplification according to the physical backgrounds of flight states. The parameter identifying method has excellent universality, and at the same time, is relatively lower in calculation amount, has high calculation efficiency and accuracy and is favorable to the efficient estimation of airplane performance.

The invention discloses a bridge dynamic characteristic abnormity early warning method considering environment temperature variation. The method comprises the following steps: 1, acquiring inherent frequency and environment temperature data of a bridge; 2, analyzing the correlation between the inherent frequency and the environment temperature; 3, calculating a vertical distance from an inherent frequency-environment temperature data scatter point to the linear correlation fitting curve; 4, establishing a vertical distance probability model; and 5, calculating inherent frequency early warning threshold values at different environment temperatures, and if the actually measured inherent frequency at a certain environment temperature exceeds the early warning threshold value, indicating that the dynamic characteristics of the bridge structure are abnormal, and at the moment, giving an alarm about the abnormality of the dynamic characteristics of the bridge. According to the method, the early warning threshold value of the bridge dynamic characteristic abnormity considering the environment temperature variation can be effectively formulated.

This invention relates to a method for accessing data separately used in between a file and a user host including the following steps: segmenting said file into multiple data blocks, storing them in the host of the data separately, in which, a data host in it responds a file read instruction sent by the user host to finish information exchange with other data hosts, and the user host responds the exchange result to take back the data blocks scattered in the data host to compose said file.

The invention provides a method and a device for data entry based on a block chain network, computer equipment and a computer readable storage medium, and relates to the technical field of block chainencryption. The block chain network is composed of block chain nodes corresponding to a plurality of participants. When a user uploads service data, the service data is encrypted at second-level encryption nodes of the block chain node, an encryption private key is stored in the second-level encryption nodes, and then the encrypted ciphertext data is uploaded to first-level data nodes for chain entry to generate a service block, so that data consensus synchronization with block chain nodes corresponding to other participants is realized. The block chain nodes corresponding to the participantsare located in the same block chain network, and the service data in the first-level data nodes of the block chain nodes are synchronized with each other, so that information splitting and data dispersion among the participants can be avoided, and the registration efficiency is effectively improved.