30results about How to "Quickly respond to business needs" patented technology

The invention discloses a cloud computing resource internet of things supervision and service platform which comprises a supervision and service platform body and a client. The service platform body comprises a database, a data acquisition and interface layer, a technical support layer, an analytical model layer and an application service layer, the application service layer is connected with the client, and the database is connected with a data control system and a dispatching and monitoring system. The cloud computing resource internet of things supervision and service platform is constructed by the aid of the database, the data acquisition and interface layer, the technical support layer and the analytical model layer according to actual requirements of supervision and service of IT (information technology) resources, comprises an IT asset and configuration management module, an IT asset integration monitoring module, an IT operation and maintenance guarantee module, a service guarantee and measurement module, a service guarantee reporting module and the like, can rapidly respond to business requirements, and aims to improve operation and maintenance guarantee efficiency and the capacity of preventing and solving failures, so that reliability of information systems is improved.

The invention discloses a service data processing system and method based on a data middle platform. The system comprises the data middle platform and a data acquisition device, The data acquisition device is used for acquiring data source information of at least one service platform; the data middle platform analyzes and processes the acquired data source information to generate a data source inthe same service scene; and the data sources under the same service scene are taken as service data for the foreground to respond to the service requirements of the foreground. According to the scheme, logic packaging is carried out on multi-source mass data to form the data middle platform, and standardization of service data is achieved; by use of the data middle platform technology, data islands are broken, data structures are integrated, data exits are unified, a data closed loop is formed, various data such as client acquisition, medium channel management, marketing links, operation conditions and financial management are connected in series, and the situation that data drives business development can be formed.

The invention discloses a relational database query method, device and equipment and a storage medium. The method comprises the steps that when it is detected that connection between a current projectand a database is successful, a database management system function is called to obtain an original data result set of the database; Reading metadata of the database from an original data result set,and generating a metadata model based on the metadata and through the database management system function; Creating and constructing a query function based on the metadata model; the structure of thedatabase is changed; a programmer does not need to modify a source code related to the database query statement in the current project; and the database can be queried by directly calling the construction query function, so that the workload of a programmer in development and testing is effectively reduced, meanwhile, the service requirement can be quickly responded, and the experience degree ofa user on project software is improved.

The invention discloses an asset management method and system, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of obtaining asset data and configuration information, wherein the configuration information is used for defining a product group and labels from a set dimension and defining a structure of a combination tree, and the combination tree comprises a combination hierarchy and names of nodes contained in the combination hierarchy; classifying products of the asset data according to the product group and the labels, and obtaining target data from a classification result according to a set screening rule, wherein the target data comprises the labels and corresponding attribute values; and dividing the attribute values into nodes with the same label names corresponding to the attribute values in the combination tree so as to carry out summarization according to the combination hierarchy. According to the embodiment of the invention, the asset data is summarized and combined based on the self-defined label and the combination tree, the business requirements can be quickly responded, and the development workload is reduced.

The invention relates to a data processing technology, and discloses a data distribution method, which comprises the following steps of: starting a data processing task through a timing task scheduling platform; querying all mechanism information corresponding to the data processed by the data processing task; dividing the data processing task by mechanism according to the mechanism information togenerate a plurality of subtasks; sending the plurality of subtasks to a message queue, thereby distributing the subtasks to different clients for concurrent processing; and receiving and recording aprocessing result of each client for the plurality of subtasks. The invention further provides a server and a computer readable storage medium. According to the data distribution method, the server and the computer readable storage medium provided by the invention, the data processing tasks can be reasonably divided according to mechanisms and distributed to different clients for concurrent processing, so that the resource utilization rate and the processing efficiency are improved.

The big data side platform comprises a wind generating set and a data platform in communication connection with the wind generating set, the centralized control system is in communication connection with the data platform; the data platform is provided with wind power logic nodes; the wind power logic nodes comprise a wind power public logic node class, a wind power special logic node class and a logic equipment class; an acquisition gateway is also arranged between the wind generating set and the data platform; the defects that in the prior art, it cannot be ensured that system data of a centralized control center, an application platform, production management and the like are real and effective, and the data problem in the production management informatization construction process at the present stage cannot be solved are effectively avoided.

The invention discloses a method and device for processing a work order, and relates to the technical field of computers. One specific embodiment of the method comprises the steps of obtaining work order data of a work order in response to a processing request of the work order; acquiring a process configuration file for processing the work order according to the work order data; and processing the work order based on the process configuration file so as to execute the processing request. According to the embodiment, diversified business requirements can be flexibly met from the aspects of work order generation, work order processing flow and the like, differentiated work order requirements are met, and the development amount can be relatively small under the condition of responding to thebusiness requirements, so that the business efficiency is improved, the labor cost is saved, and the system risk is reduced.

The invention discloses a method and a system for registering a service, and a method and a system for invoking the service. A method for registering a service comprises the following steps: a serversends a registration request to a server proxy; the server proxy parses the registration request, records the parsed service information in the first service list, and sends the service information tothe client proxy; the client proxy updates a second service list according to the service information for access by the client, wherein the second service list is the same as the first service list.Compared with the prior art, the invention can realize the data transmission between the server end and the client end even if the server end and the client end are not in the same LAN by setting theserver proxy and the client proxy.

The invention discloses a data privacy calculation method and system based on a block chain. The data privacy calculation method comprises the following steps: after any node on the block chain receives a data privacy calculation request sent by a data demander, issuing a service node voting request in the block chain, wherein all the nodes in the block chain determine a target service node from all the nodes of the block chain by using a preset consensus algorithm according to the service node voting request; and enabling the target service node to execute the data privacy calculation request. According to the invention, the security and credibility of data of the coordinator can be improved.

The invention relates to a banking industry-oriented full-stack financial knowledge graph platform, which comprises a graph construction layer configured to perform source data management, logic graph ontology creation, graph production, graph treatment and task scheduling; the map warehouse management layer is configured to store maps of different fields for specific business scenes; the service application layer is configured to perform map visual search, map data mining, map query and map model application; and the application interface layer is configured to provide financial knowledge graph service access capability for the platform. Compared with the prior art, the method has the advantages that key graph management links of knowledge acquisition, knowledge representation, knowledge storage, knowledge fusion, knowledge modeling, knowledge calculation and knowledge application are realized, the whole process from knowledge raw materials to intelligent data conversion is supported, full-stack graph production and application service capability is provided, and graph construction and production efficiency is improved.

The invention provides a form dynamic management method and system based on authority management, which can allow a user to associate an initial form with a workflow chart, establish authority cell information matched with the initial form, obtain circulation information of the workflow chart in real time, and automatically adjust display content of the form. According to the invention, a user canconveniently adjust the content of the form cells in combination with a specific service, and a corresponding workflow can be intuitively reflected through the adjustment content of the form; the complexity of making the form is reduced, the office efficiency is improved, and the service requirement can be quickly responded.

The invention provides a financial data processing method and device and computer equipment, and relates to the technical field of computers. The method comprises the following steps: receiving first business and financial processing data sent by a first system, and storing the first business and financial processing data in a cold database and a hot database; verifying the first financial processing data according to a preset verification rule; after the verification of the first financial processing data is passed, generating posting data based on the first financial processing data, and storing the posting data in a cold database and a hot database; and when the first financial processing data is received for a preset time, deleting the first financial processing data and the posting data in the hot database. Therefore, business requirements can be quickly responded, instant processing of data is realized, scientific data support is provided for decision making, and all decisions are efficient and instant; and integration of data collection, processing and storage is realized, so that complete, accurate and traceable effective financial information and business information are realized.

The invention discloses a single-source multi-node data synchronization method and system, and relates to the field of data synchronization. The method comprises the following steps: establishing a change data table through a trigger, inserting a plurality of change data into the change data table, respectively reading the plurality of change data through a plurality of nodes, and selecting to-be-synchronized data in the change data for synchronization. According to the method, multiple change data in the change data table are read through multiple nodes; and to-be-synchronized data in the change data are selected for synchronization, so that trigger data of only one data source is generated. Therefore, the data can be synchronized to any node, the timeliness of data synchronization is considered, and junk data generated by a database and the pressure of the database are reduced.

The invention provides a label production method, a management method, a device and a system. The label production method comprises the following steps: acquiring a label logic input by a label production request end, wherein the label logic comprises a label production instruction, a data source and label configuration content; performing table relation processing on a plurality of data source tables included in the data source to obtain an initial data set; configuring a data processing rule and a marking rule based on the label configuration content; performing data processing on the initial data set based on a data processing rule; and marking the processed initial data set based on the marking rule to obtain a target label SQL. According to the label production method, a production tool is established to collect the label logic of the label production request end so as to automatically generate the label SQL, so that a current mode of manually writing the SQL after obtaining the label logic is replaced, label production time is shortened, label production efficiency is improved, and business requirements are quickly responded.

The invention discloses a system and method for updating JAVA application service, wherein the system comprises a file acquisition module for obtaining a JAR file to be updated; an update processing module for creating a first class loader corresponding to the JAR file, wherein the JAR file is loaded by the first class loader, and the first class loader is used for loading the JAR file and binding the parent and child relationship with a JAVA class loader. The system and method for updating JAVA application service is capable of avoiding the inconvenience that a JAVA application server is restarted in order to update the JAVA application service in the prior art.

The invention discloses an ES-based real-time data center configuration system, which is characterized by comprising a real-time data configuration module and a unified data interface service module. The invention also discloses a processing method of the ES-based real-time data center configuration system, which comprises the following steps: S1, one or more business data centers select and query one or more SQL or DSL template grammar of the ES in the access template configuration sub-module through the unified data interface service module; and one or more query conditions and the like are input into the access template configuration sub-module. Through the real-time data configuration module composed of the configuration sub-module, the simple index configuration sub-module and the complex index configuration sub-module, adjustment of index names, index numbers, index caliber calculation logics and the like displayed by each business real-time data center can be realized at any time, and real-time effectiveness can be realized without modifying a code and issuing an online process; and business requirements are quickly responded.

The invention discloses an entity object label production method and system, a storage medium and electronic equipment. The entity object label production method comprises the following steps: an obtaining step; a template construction step: constructing a visual template and configuring the visual template based on data content information, wherein the configuration content comprises label rule configuration content, label production configuration content and label scheduling configuration content; a template processing step: generating a label SQL statement, a label scheduling task and a marking task according to the content in the configured visual template; and a generation step: according to the frequency of the label scheduling task and the label SQL statement, executing the marking task through a platform calculation framework to generate label data. The invention designs a label coding method with a label depth of 4, which is used for setting levels for an entity object label system and is convenient for constructing a full-latitude label and knowledge system for a customer.

The invention discloses an implementation method for permanent storage virtual machine restoration based on an openstack cloud management platform. The method comprises the following steps: step 1, enabling a client to initiate a request for creating an automatic restoration virtual machine; 2, performing parameter legality check on the automatic virtual machine creation request; 3, performing operation authority check on the automatic virtual machine creation request; 4, creating an automatic virtual machine restoration operation, and filtering and selecting an optimal virtual machine operation node; 5, performing virtual machine starting parameter preparation, and starting the virtual machine in an automatic restoration mode; 6, obtaining the current creation state of the automatic restoration virtual machine; and 7, obtaining the current operation mode of the virtual machine, and operating the virtual machine at any time for restoration. According to the implementation method for permanent storage virtual machine restoration based on the openstack cloud management platform, a method for automatically restoring the virtual machine to be in a state before use after the virtual machine is restarted is provided, and the state of the virtual machine is restored quickly and stably without any snapshot data restoration and other operations.

The embodiment of the invention provides a pooling method and device for retail risk exposure, computer equipment and a medium, and relates to the field of automatic programming. The method comprises the steps of obtaining a sample used for constructing a model in a feature wide table corresponding to retail risk exposure; performing high-level subdivision on the sample in response to user configuration; and performing layer-by-layer subdivision on samples in the sample set obtained by high-level subdivision according to the pooling risk factors, and generating a retail risk exposure pooling model based on a high-level subdivision result and a layer-by-layer subdivision result. According to the embodiment of the invention, standardization and automation of construction of the retail risk exposure pooling model are realized, and the development time of the retail risk exposure pooling model is greatly shortened; in the aspect of model iteration, iteration can be performed in response to user configuration so as to quickly respond to business requirements, and the model iteration efficiency is improved; and the modeling process risk is controlled to a certain extent, and errors caused by manual operation are reduced.

The invention provides a business data concurrent processing method, a device thereof and a system, belongs to the technical field of cloud computing, and can be applied to the financial field or other fields. The business data concurrent processing method comprises the steps of obtaining business input parameters, and determining rules corresponding to the input parameters and element information of elements corresponding to the rules; sending the element information of each element to a corresponding cluster client, so that each cluster client obtains an element value of each element information in parallel; and concurrently executing the rule corresponding to each element value according to each element value from each cluster client to obtain each execution result. The system expansibility, the operation stability and the service data processing efficiency can be improved, and related service requirements can be quickly responded.

The invention discloses a label updating method and device, a computer readable storage medium and electronic equipment. The method relates to the field of artificial intelligence, and comprises the steps that a label corresponding to each object in a to-be-screened set is acquired, a plurality of labels are obtained, the to-be-screened set is composed of a plurality of objects, and the plurality of labels represent object features of each object in the to-be-screened set; determining a plurality of target tags from the plurality of tags, and determining screening conditions corresponding to the plurality of target tags; combining the screening condition corresponding to each target label in the plurality of target labels to generate a combined label; and updating the plurality of tags corresponding to the to-be-screened set based on the combined tag to obtain an updated tag set. The technical problem that in the prior art, the label updating efficiency is low due to the fact that the label is obtained by processing the source data is solved.

The embodiment of the invention provides a bill identification method, device and equipment, and relates to the technical field of artificial intelligence. The method comprises the steps: carrying out the cutting of a target image to obtain an image of a target area in the target image, the target area being a part recording a title in the whole area of the target image; identifying the image of the target area by using an optical character identification technology to obtain a target identification information set; matching each key field in the feature information set with the field in the target identification information set to obtain a matching result, the feature information set comprising key fields of titles and corresponding bill types; and determining the bill type corresponding to the target image according to the matching result. In the embodiment of the specification, the bill types can be added by recording the corresponding relation between the key fields for matching and the bill types in the feature information set, a large amount of data does not need to be collected to train a model, and service requirements can be quickly responded.

The invention provides a asset management risk control method and device, and the method comprises the steps: obtaining a risk trial request which comprises to-be-put-into-service data and a businessidentification, and the to-be-put-into-service data comprises to-be-put-into-service product identification; obtaining a corresponding current risk value in a risk index current library according to the service identifier; acquiring information of a to-be-put product according to the identifier of the to-be-put product; and obtaining a risk trial result according to the to-be-launched data, the current risk value and the to-be-launched product information. When risk trial is carried out, other components do not need to be called out to obtain data, only the current risk value of the risk indexcurrent library needs to be called, the trial speed can be increased, and the service demand can be quickly responded.

The invention relates to the technical field of data processing, and provides a service data processing method and device, computer equipment and a storage medium, and the method comprises the steps: receiving a processing request of service data of a to-be-processed service, querying an interface corresponding to an interface identifier carried in the processing request, and sending the query result to a server; obtaining business data from an interface corresponding to the interface identifier to obtain multiple pieces of business data, respectively obtaining a settlement target of each piece of business data, querying a corresponding relational expression according to the settlement target of each piece of business data to obtain multiple relational expressions, and combining all the relational expressions according to a preset combination rule to obtain a target relational expression; and judging whether the target relational expression accords with a preset rule, if so, configuring the multiple pieces of business data into the target relational expression, and calculating to obtain a business result, thereby realizing customized output through the configuration relational expression, quickly responding to business requirements, and improving the processing efficiency of the business data.

The invention relates to the field of cloud computing, in particular to an elastic telescopic group configuration method. According to the elastic scaling group configuration method, an expected number of virtual machines are distributed to the cloud platform initially, and the distributed virtual machines are not the maximum number of virtual machines required by the elastic scaling group at the moment; and then in the running process of the cloud platform, when it is judged that the load state of the cloud platform does not reach a preset degree, namely, when the load state is better, the virtual machine is started and created to build the virtual machine, and resources such as a CPU and a memory of a physical host in a working state do not need to be excessively occupied at the moment. When the elastic scaling group needs to be expanded, the elastic scaling group can be directly added without creating a new virtual machine, so that the time consumed for creating the virtual machine can be shortened when the virtual machine is expanded, the speed of expanding the virtual machine is greatly improved, and the elastic scaling group can quickly respond to business requirements.

The invention relates to a PaaS platform based on the industrial Internet of Things, and the platform comprises: a user development module which is used for providing a serial port for account registration and information exchange, and a user can carry out the testing through the interface, and provides a development passing service; a business development module which is used for providing visual front-end service and realizing an automatic development transmission function in a dragging mode; a platform service module which is used for providing deployment service, module and warehouse, performance service, monitoring service and safety service; and a management platform module. According to the PaaS platform based on the industrial Internet of Things, the design thought, framework, function and characteristics of the PaaS platform are improved, certain standard and thought guidance can be provided in the application, release and establishment expansion direction of the cloud platform, mutual promotion and common development of application construction of the cloud platform are facilitated, and a friendly development environment, rich public services and high-quality products can be completely provided.

A method and device for automatically arranging fans based on mesoscale data, the method comprising: first screening an input wind field area by using a wind speed limit value according to input mesoscale wind atlas data to obtain a first wind field area ; According to the input terrain data, use the gradient limit to screen the first wind farm area again to obtain the second wind farm area; use the tabu search method with the target number of fans and the second wind farm area as input to determine the target The wind turbine arrangement with the optimal function, wherein the objective function is the sum of the annual power generation for the wind turbine points.

The invention provides a resource scheduling method and device, which can flexibly schedule permission resources according to service requirements so as to quickly respond to the service requirements and improve the utilization rate of the permission resources. The method comprises the following steps: determining a cell meeting an activation condition according to a base station configuration parameter and the cell activation condition; according to the number list of the important user and the service cell information of the important user, determining at least one non-important cell from the activated cells meeting the activation condition; allocating a dedicated licensed resource for at least one first cell which satisfies the activation condition and is not activated; acquiring an average radio resource control (RRC) connection user number of the at least one unimportant cell and the at least one first cell; according to the average RRC connection user number, the at least one non-important cell and the at least one first cell are arranged in a descending order, a licensed resource is allocated to the first cell in the first N cells, and the first cell in the first N cells is activated.