63 results about "Integration rule" patented technology

A computer readable medium includes executable instructions to define an individual publication schema for each heterogeneous source of a set of heterogeneous sources. Each individual publication schema specifies mapping rules between data from a heterogeneous source and a non-permanent structured instance of data. A non-permanent structured instance of data as defined by an individual publication schema is generated. An integration schema defining a set of integration rules for combining data from each non-permanent structured instance of data as defined by individual publication schema is established. A target non-permanent structured instance of data to include data from the plurality of heterogeneous sources based on at least one integration schema is formed.

The invention specifically relates to a data processing method and system of an e-commerce platform for point value-added consumption. The method provided by the present invention includes: generating order data according to a member's order placing operation on the platform, where the order data includes an order number; receiving a payment confirmation message sent by the member, and extracting the order number according to the confirmation payment information Order data, according to the payment amount in the extracted order data and the points value-added rules, increase the points in the member's account; if the member uses the points to buy goods, the payment points for the said goods are obtained, and the points in the member's account are deducted according to the payment points. Increase the points in the merchant account. The method and system provided by the invention guide online consumers to offline alliance merchants, help the entity industry to increase the turnover, assist the overstocked commodity merchants to destock, have good operation effect, good user experience, and improve resource allocation and flow efficiency, Save social costs.

The invention discloses a method for integrating spatial data, which comprises the following steps: inputting the data required to be integrated; formulating integration rules through analyzing a database model of different spatial data and establishing mapping specifications under different database models according to characteristics of various spatial data, and generalizing the integration rules so as to form an integration scheme; integrating the input data on various layers of the logical structure of the database according to the formulated data integration scheme; and outputting the integration data as a final data file. By adopting the method for integrating spatial data and a system in the method of the invention, the invention can realize an integral data integration system of integrating data comparison and analysis, formulation of the integration scheme and display of the integration result into one body, so as to realize automatic integration among different types of data. Therefore, the controllable property of the data integration is improved, the error rate of the data conversion is effectively reduced, and the operation is greatly convenient for the user.

The invention relates to the technical field of flow monitoring management and discloses a system for integrating real-time data and relation data, which comprises a data integration rule base, an analyzer, a rule analytic tree unit, a manager for real-time events, a request trigger for data integration, an actuator for data integration analysis and the actuator. Simultaneously, the invention discloses a method for integrating real-time data and relation data. With the system and the method, the problem that a production management system is difficult to acquire production data in real time is solved, thereby ensuring that the production management system can conveniently obtain accurate and reliable real-time production data.

The invention provides a method, client and system for integration aiming at interactive operation in instant communication, belonging to the field of computer and software technique. The method comprises the following steps of: setting an integration rule corresponding to interactive operation between interactive objects; collecting interactive operation information between the interactive objects; comparing the collected interactive operation information with the integration rule to acquire a compared integration value result; and for at least one of the interactive objects, performing the output operation of the integration value result in the position corresponding to the interactive objects in the instant communication client. By utilizing the invention, according to interactive operation information such as communication time, communication frequency or communication information quantity and the like between the interactive objects, the corresponding integration grade information is acquired and output, so that a user can visually acquire the communication condition between the user and different contacts by viewing integration grades with the different contacts.

The invention discloses a real estate data integrating method based on a GIS, and relates to the technical field of GIS. The method includes the step that with data as the core, starting from the characteristics of data, a data integrating rule is established according to three establishing rules generally used when human beings cognize and understand the real world, that is, the data integrating rule is established by classifying data related to a real estate and finding out the internal relation of the data. The method is wide in application range; the data integrating procedure is guided by means of the data integrating rule, the consistency and integrity of the final data result are ensured, and the data sharing problem can be effectively solved; data can be seamlessly integrated to a national or provincial cloud side real estate information foundation platform.

The invention discloses a method and a device for processing small files. The method includes responding to a file storage request of a user, integrating the small files in the file storage request according to preset file integration rules to acquire at least one file block, and storing each file block into a disk. Each file block comprises at least one small file and an index key value thereof. According to the method, multiple small files are integrated into one file block, and the file block as an object is stored into the disk; compared with the prior art in which each small file is packaged into an object to be stored, the method has the advantages that waste of much storage space for non-small-file data storage is avoided, and thus, disk space is saved substantially.

The invention provides a data processing method based on a data warehouse. The method comprises the following steps: an atomic layer acquires the structured first data; the atomic layer performs organization and classification on the first data according to a preset way so as to acquire the second data; the atomic layer performs partitional storage on the organized and classified second data; theatomic layer updates the second data to an integration layer; the integration layer performs merging processing on the second data according to a preset integration rule so as to generate the third data to store. The data inconsistency caused by data redundancy, data missing and like circumstances can be effectively avoided since the atomic layer performs organization and classification on the first data according to the preset way, and the maintenance cost is reduced; the partitional storage is performed on the organized and classified first data so that the information can be conveniently traced; the integration layer performs the merging processing on the second data so that the multi-source data can be integrated as the unique information, and then the ambiguity of the data is eliminated, and the unique accuracy of the data is guaranteed.

The invention discloses a heterogeneous resource isomorphism method and device. Data in a heterogeneous resource database is obtained, integrated processing is conducted on the data according to a preset integration rule to generate a heterogeneous resource integrated database; the connecting relation between the heterogeneous resource database and a query application layer is set; when the application layer receives a resource query request, the heterogeneous resource database is queried via the connecting relation to obtain data information corresponding to the query request. By combining and integrating heterogeneous data different in source according to resource forms and accessing the data via an application layer access request, heterogeneous resources are integrated to form a resource library which is isomorphic in application layer and can be transparently accessed in a one-stop mode, and thus the purpose of integrating and sharing data resources is achieved.

The invention discloses a cultivated land quality multi-source heterogeneous data integration method. The method comprises the steps of acquiring cultivated land quality grade data, cultivated land fertility evaluation data and cultivated land quality geochemical evaluation data; converting the cultivated land quality grade data, the cultivated land fertility evaluation data and the cultivated land quality geochemical evaluation data according to a unified database rule, constructing a multi-source heterogeneous data integration model based on a spatial data modeling standard specification GML, and performing unified management through a data manager; and comprehensively evaluating the cultivated land quality data through a contribution rate method. The invention provides a cultivated landquality multi-source heterogeneous data integration model based on GML. By utilizing a multi-source heterogeneous data integration technical process of the model, data such as MapGIS data, ArcGIS data, picture grids and the like are converted into a unified GML data format, so that the data can be conveniently and effectively integrated and shared according to an integration rule in a network environment; the farmland quality data standardization is promoted, so that the data analysis application efficiency is improved.

The invention provides a method of diagnosing a fault of a thickener during a hydrometallurgy process. The method comprises steps that on-line qualitative information and on-line quantitative data of a hydrometallurgy thickener used for identifying the fault are acquired; by aiming at the on-line qualitative information, credibility of every event is acquired by adopting a rule-based reasoning method based on credibility, and a piece of first evidence is acquired; by aiming at the on-line quantitative data, similarity of a to-be-diagnosed case is acquired by adopting a case-based reasoning method based on data similarity, and a piece of second evidence is acquired; the to-be-diagnosed case is different types of data constituted by the on-line qualitative data during the case-based reasoning; the above mentioned two pieces of evidence are integrated together according to a D-S evidence theory integration rule, and then the fault diagnosis information of the thickener during the hydrometallurgy process is acquired. The method is advantageous in that timely adjustment of operators can be carried out according to a fault diagnosis result, and therefore an accident rate is effectively reduced, and production safety performance is improved.

The embodiment of the present invention discloses an application program management method and a terminal. The method includes: if it is detected that the terminal is in a locked screen state, obtaining the running application program in the terminal; obtaining the hotspot application program in the terminal according to preset rules; The preset integration rules integrate running applications and hotspot applications to generate a whitelist; terminate running applications that are not in the whitelist. The embodiment of the invention also discloses a terminal. The embodiment of the present invention intelligently generates a whitelist through acquired running applications and hotspot applications, and terminates running applications that are not in the whitelist, thereby flexibly terminating running applications in the terminal after the terminal locks the screen program to reduce terminal power consumption.

The invention discloses a processor and an early warning system for train assisted tracking and early warning. The processor includes an integration analysis unit and an identification determining unit, wherein the integration analysis unit is used for performing integration logic analysis on the front information of a train based on the preset logic integration rule; and the identification determining unit is used for identifying the abnormal condition within a predetermined distance ahead of the train according to the analysis result, and the abnormal condition refers to the emergence of anyone or more of a signal machine, an obstacle, or a track turnout. According to the technical scheme, short-focus camera shooting can be used for accurately informing a driver of the road condition infront, and the accuracy of identifying the road condition ahead is improved; and long-focus camera shooting can be used for alerting the driver in advance and providing sufficient reaction time for the driver, a laser radar is used for scanning to accurately determine the obstacle in front, the driver can be promptly reminded, and thus the safety protection effect is improved.

The invention provides a significance human body regional detecting method based on regional integration. The method includes steps of taking an ultra-pixel regional unit as a node, orderly executing the adjoining integration and the overall integration according to an integration rule psi; orderly structuring an adjoining integration picture FORMULA and an overall integration picture FORMULA; combining the color contrast, space distance weight and background probability weight among the ultra-pixel regional units, and respectively calculating the significance value of the ultra-pixel zone unit at an initial integration picture FORMULA, the adjoining integration picture FORMULA, and the overall integration picture FORMULA; through a confidence genetic mechanism of a cellular automaton machine, updating three initial significance pictures, accumulating and summing the pictures, and acquiring an integrated significance pictures S. In the invention, the method is good for presenting the gradation information in the input image on the basis of the initial integration picture, the adjoining integration picture and the overall integration picture; meanwhile, the method sets the confidence matrix according to the background probability value, and is good for the optimized performance of the cellular automaton; finally, the integrated significance picture S including the significant human body zone is acquired.

The invention discloses an self-adaptive integrated unbalanced data classification method based on Euclidean distance, which comprises the following steps of: firstly, obtaining a plurality of diversified balance subsets by using a random balance method, then establishing and obtaining a plurality of basic classifiers on each balance subset; and adding a classifier pre-selection algorithm before the dynamic selection algorithm. After a screened basic classifier is obtained, a new dynamic selection algorithm is provided, and by evaluating the condition of the sample classifier in the surrounding area of a to-be-classified sample, the capability is stronger when more minority class samples belong to the correct classification range. And finally, a prediction result obtained by the selected basic classifier by adopting a distance-based adaptive integration rule is output. According to the method, basic classifiers can be established on the generated diversified subsets, meanwhile, a dynamic selection algorithm is provided, the sub-classifier with the highest classification capacity can be selected out, finally, the proposed integration rule can provide a better output result, and finally, the unbalanced data classification precision is effectively improved.

A system and method is provided which minimizes the amount of human intervention required to capitalize expenditures into assets. According to one embodiment, asset (capitalization) integration rules pertaining to automatic asset creation and capitalization is set at a business unit level. When a project is created within the business unit, these asset integration rules will automatically default to the project. Subsequently, when an activity is created within the project, the same set of asset integration rules will default from the project to the activity. A user has an ability to override the defaulted asset integration rules at both the project and activity levels. However, if no override is desired, there is no human intervention required.

The invention discloses a data-driven SPI defect type intelligent identification method on an SMT production line. The method comprises the following steps of in a first stage, carrying out clusteringprocessing on SPI historical quality detection data sets, independently sampling the obtained K types of training data sets for 20 times by adopting a Bagging algorithm, and respectively training independent defect classifiers for K types of K * 20 groups of training sets by utilizing a BP neural network model to obtain K * 20 independent defect classifiers to form a classifier set; in A second stage, detecting 6 solder paste printing quality parameters online; comparing with a historical training data set to classify the detection records T; determining which category of the real-time detection point belongs to the K categories of training data sets, and when T is just located on the boundary of two or more categories of training data sets, simultaneously selecting twenty independent defect classifiers from the multiple categories of K categories of training data sets according to approximately equal quantity to carry out category judgment of detection records T; And inputting T intoeach independent defect classifier, carrying out integrated prediction on an output result according to an integration rule, and judging a defect type. According to the invention, the effect of people in automatic detection is reduced, and the online real-time detection efficiency and accuracy are improved.

The invention discloses a cross-boundary service process fusion method and system based on message flow division and combination, which comprises the following steps of: 1, carrying out message flow labeling on a service flow chart, and dividing the service flow chart into sub-flow fragments according to a message flow; 2, performing calculating according to the similarity to obtain a sub-processfragment similarity matrix, and determining a fusible fragment pair; 3, fusing the fusible fragment pair by adopting a corresponding fusion rule; and 4, integrating all the fused sub-process fragmentsaccording to a fragment integration rule so as to obtain a fused service flow chart. The beneficial effects of the invention are that: the constraint conditions of roles, values, targets and the likeof the cross-boundary fusion scene can be considered; automatic fusion of multi-domain business flow charts under a cross-boundary service scene is realized through methods of process fragment decomposition, process fusion rules and the like, enterprises or software systems and the like are helped to complete expansion of businesses in other domains or generalize and expand businesses in the domain to other domains, and the method has good practicability.

The invention discloses a method and a system for automatically generating a dynamic page based on integration rules. The method comprises the steps of determining an interface control set and an interface layout style according to demanded comprehensive integration rules and interface style; when transaction is initiated, generating an XML file according to the interface control set, and generating an interface style template according to the interface layout style; generating dynamic message according to the XML file, and showing the dynamic page by combining the interface style template according to the dynamic message. The method and the system fully meet the demands of dynamic display through a flexible and general way of automatically generating the dynamic page based on the integration rules. The method and the system have the advantages of being low in development cost, high in efficiency and good in interface integrity.