111results about How to "Realize automatic execution" patented technology

A method for obtaining context information of work stream in pan-calculation environment includes utilizing complicated event processing engine in work stream server based on complicated event processing rule to carry out extracting and regathering on event information formed by enterprise physical environment and activity pretreated and obtained by electronic countermark identifier under pan-calculation environment prepared by Internet work stream station, information unit and identifying unit; then structuring them to form composite event being used to pick up context from.

The invention relates to the technical field of block chain, intelligent contract and user investigation, in particular to an investigation method and system based on block chain. The invention discloses a research method based on block chain, which utilizes block chain and intelligent contract technology, realizes the decentralized data and reward exchange process, realizes double blindness between the researcher and the investigated, ensures the credibility of the research data, and protects the personal privacy of the user. The invention also provides a research system based on a block chain, comprising a client, a research system, an intelligent contract and a distributed general ledger.

The invention provides a coal blending combustion intelligent management method and system, and the method comprises the steps: obtaining coal blending data, further comprising the following steps: building a coal blending rule base, and building a coal blending combustion model; obtaining an optimal coal blending scheme by utilizing a coal blending optimal solution algorithm according to the objective function; finely adjusting the optimal coal blending scheme according to the real-time data; and automatically implementing the optimal coal blending scheme, and acquiring combustion real-time data in the implementation of the optimal coal blending scheme. The invention provides a coal blending combustion intelligent management method. A multi-objective global optimization model based on a knowledge base is adopted; the method has powerful generalization ability, the coal blending scheme suitable for the power plant can be calculated and automatically executed under the condition that the coal type is complex and variable, meanwhile, on the basis of the non-dominated sorting genetic algorithm with the elitist strategy, the result can be rapidly calculated when the coal type is various, and the waiting time of coal blending calculation under any condition is shorter than 5 s.

The invention provides an intelligent contract triggering method and device, equipment and a storage medium, the method comprises steps of when a contract registration instruction sent by a user is received, obtaining a triggering condition type in the contract registration instruction, and judging whether the triggering condition type is a user-defined triggering type or not; if the trigger condition is a user-defined trigger type, obtaining a condition script uploaded by a user, and adding the condition script to a registration cache in a block chain; and when it is monitored that the transaction meeting the condition script definition occurs, executing a corresponding contract transaction according to a preset intelligent contract. The contract transaction corresponding to the intelligent contract is executed when it is monitored that the transaction meeting the triggering rule occurs, automatic execution of the contract is achieved, a salesman server does not need to be called to call the contract, the contract execution cost is saved, the contract execution efficiency is improved, and the technical problem that the execution cost of an existing intelligent contract is high is solved.

The invention relates to the field of mobile device compatibility testing, in particular to a method and a system for automatically executing mobile phone compatibility testing cases. Automatic execution of the mobile phone compatibility testing cases is realized by pushing specified configuring files and compatibility testing programs to a mobile phone specified to execute testing tasks, then configuring the testing cases of the configuration files according to configuration parameters of the configuration files and installing and operating the compatibility testing programs. Configuration of the testing cases can be performed according to the requirement on testing rounds, and the cases in need of testing and execution times are configured. The compatibility testing programs are high in reusability, and program source codes do not need to be modified with changing of test items. By automatic testing, manpower resources are saved, and compatibility testing cycle is shortened.

The invention relates to an automatic test system for transformer relay protection equipment. The system comprises a clamp, a relay protection instrument, a switch and a host computer, the clamp is provided with a connection port which is connected to the to-be-tested equipment, the to-be-tested equipment is connected with one end of the relay protection instrument through the connection port, theother end of the relay protection instrument is connected with one end of the switch, and the other end of the switch is connected with the host computer. The host computer sends a test instruction to the relay protection instrument through the switch; the relay protection instrument determines the output analog quantity of the tested equipment according to the test instruction; and the tested equipment acts based on the output analog quantity, and feeds back the generated test data k to the relay protection instrument through the connection port, the relay protection instrument generates a corresponding test result according to the test data and feeds the test result back to the host computer through the switch, and the host computer judges the test result and generates a corresponding test report. Automatic execution of different test items can be realized, the test result is judged, and the working efficiency of the test process is improved.

The invention relates to the field of automatic detection, in particular to a visual detection method, device and system based on point cloud data. The method mainly comprises the steps of obtaining three-dimensional point cloud of a space scene of an area where a target object is located; calculating a feature score of each point according to the principal curvature feature of each point in the three-dimensional point cloud, the calculation mode of the feature score being determined by the geometrical feature of the target object; obtaining a target object point cloud of each target object according to the feature score of each point; and obtaining geometrical characteristic related data and poses of the target object according to the geometrical characteristics of the point cloud of thetarget object. According to the invention, various detection requirements of the target object can be realized in a contactless and efficient manner, the interference of the environment on the detection result is reduced, and the detection accuracy is improved.

The invention discloses an intelligent fan blade manufacturing method. The method includes the specific steps of setting up a machining operation template set, setting up a machining resource database, setting up a machining knowledge database, developing a new menu command in a CAM tool, appointing a blade set up through the MBD technology in the CAM tool as a tool body, searching for the blade characteristics, setting up a machining operation method for the found characteristics, automatically generating a tool path, conducting post-processing on the generated tool path program, and sending the program to a four-shaft vertical milling machine to conduct blade milling. When the method is applied, work efficiency of programming personnel is improved in the programming process in the future, repeated operation of the mature process is avoided, an enterprise can conveniently store the mature process, and meanwhile the blade machining quality is effectively ensured.

Aiming at the automatic transformation problem of transformation from CIM to PIM, the invention discloses a formalized model-based automatic model transformation method for transformation from a business process model to a service composition model. The method comprises the following steps of: firstly designing a model transformation frame; and on such basis, carrying out transformation from a BPMN model to an EPN model and transformation from an EPN model to an SCM model in sequence. The method has the advantage that a model transformation method which takes formalized models as bridge models is utilized, so that the correctness of the business process model is ensured, and the correctness of the transformed service composition model is ensured, thereby keeping favorable consistency of workflow models, on different abstract levels, of a business system.

The invention relates to the technical field of communication, in particular to a resource automatic elastic expansion system and method, and a cloud platform. In order to solve a problem that a cloudcomputing platform cannot realize automatic elastic expansion and contraction of resources to a certain extent, the method comprises the following steps of obtaining performance indexes of application layer service instances; selecting a resource scaling strategy based on the performance index, wherein the resource scaling strategy comprises a capacity expansion strategy and a capacity shrinkagestrategy; and adjusting the number of the virtual machines in the PaaS cluster and the IaaS layer by executing the resource scaling strategy.

The invention provides a reservoir area automatic material operating system. The reservoir area automatic material operating system comprises a central console, scanning equipment, carrying equipmentand data transit equipment. The scanning equipment is used for scanning materials in a reservoir area to obtain scanning data. The carrying equipment is used for carrying the materials. The data transit equipment is used for transiting communication data between the central console and the scanning equipment and communication data between the central console and the carrying equipment. The centralconsole is used for establishing a three-dimensional model of the overall materials in the reservoir area, judging whether material feeding/discharging is needed or not according to data of the three-dimensional model, and controlling the carrying equipment to achieve automatic carrying of the materials when material feeding/discharging is needed. The reservoir area automatic material operating system can monitor multiple task types, and the practical distribution situation of bulk cargoes in the reservoir area is reduced through modeling to make an optimal task distribution mode and improvepractical working efficiency; and meanwhile, high unmanned performance is achieved, the automation degree is high, the manual labor cost is reduced, and the personnel safety in the reservoir area is improved.

The invention discloses a method and a device for enabling equipment to automatically perform a corresponding operation, a piece of terminal equipment and a system. According to the method, provided by the embodiment of the invention, for enabling equipment to automatically perform a corresponding operation, an automatic operation service side encodes a corresponding operation which can be performed by the equipment, and sets the encoding in an SSID provided by a Wi-Fi service side. The method comprises the following steps: a piece of equipment with a Wi-Fi function acquires an SSID from the Wi-Fi service side when entering the coverage of Wi-Fi; the equipment analyzes the acquired SSID to obtain encoding of a corresponding operation in the SSID; and the equipment learns about an operation needing to be performed with the use of the acquired encoding and performs the operation under control. The scheme is wide in application range, no additional hardware needs to be added to the existing equipment, and the hardware cost of the equipment is reduced.

The embodiment of the invention discloses an unmanned aerial vehicle inspection control method and device. The method comprises the following steps: firstly, obtaining waypoint numbers according to ato-be-inspected route; dividing the route to be inspected into inspection tasks including at least one subtask according to the number of waypoints; and finally, the unmanned aerial vehicle automatically executing the subtasks according to the sequential connection, that is, after the first subtask is executed, automatically uploading and executing the second subtask , and so on, until all the tasks are completely executed. By adopting the scheme, especially when the unmanned aerial vehicle inspects a long air route, continuous and automatic execution of multiple subtasks can be realized, thesituation that the air route task needs to be uploaded again during each inspection is avoided, and the inspection efficiency is improved.

A multi-process automatic switching device comprises a mounting seat (1), a separation assembly (2), a clamping assembly (3) and working discs. The working discs exist in pairs and are respectively assembled on the clamping assembly (3); more than two different processing tools are arranged on each working disc; the processing tools on each pair of working discs are used in a matched manner; the clamping assembly (3) is connected with the separation assembly (2); the clamping assembly (3) and the separation assembly (2) can be close to each other periodically along a certain track; the clamping assembly (3) comprises a rotating portion (34) and a rotating shaft (35) to drive the working discs to switch the different processing tools; and the separation assembly (2), the clamping assembly (3) and the working discs are jointly mounted on the mounting seat (1). Preferably, the mounting seat (1) is connected to a lifting device (7). The processing tools on the working discs are preferably opening tools, oil scraping tools and shearing tools for processing poultry esophagus, and are used for oil scraping and segmentation of the poultry esophagus, automation can be realized, and the labor intensity is greatly reduced.

The invention provides maintenance equipment for a medical appliance. The maintenance equipment for the medical appliance comprises a sterilization device, wherein the sterilization device is connected with a control valve group; the control valve group is connected with a control system; the sterilization device comprises a power device arranged on a base; a tube frame is arranged above the base; a sterilization tube is arranged on the tube frame in a supporting way; the upper end of the tube frame is provided with an ascending and descending door used for sealing the sterilization tube in a supporting way; and the lower end of the ascending and descending door is provided with a connector. After the use of the structural form, a medical appliance to be maintained is fixed onto the connector; the whole maintenance process is completed in one piece of equipment; the work intensity of workers is greatly reduced; the whole process automatic execution can be realized; and high speed, effectiveness, uniformity and traceability of the whole process can be realized. The equipment can be used for realizing the maintenance on a pipe cavity of the medical appliance; the turnover flow process and the required equipment are reduced; and the turnover efficiency is effectively improved.

The invention discloses a task execution method, device and equipment and a computer readable storage medium, and the method comprises the steps: obtaining execution data corresponding to a to-be-executed task after detecting a setting instruction for setting a task scheduling configuration table; Setting a scheduling rule corresponding to the to-be-executed task according to the execution data, and generating a task scheduling rule configuration table according to the scheduling rule; And when a scheduling instruction for scheduling the task scheduling rule configuration table is detected, scheduling the task scheduling rule configuration table to execute the corresponding to-be-executed task according to each scheduling rule in the task scheduling rule configuration table. According to the task scheduling method and device, the scheduling rules in the task scheduling rule configuration table are scheduled to execute the tasks, automatic execution of the tasks is achieved, the task execution efficiency is improved, and the labor cost needed by service execution is reduced.

The invention discloses a general self-customizing and driven execution method for computer workflow. The method is characterized by comprising steps as follows: production business is divided according to logics and abstracted into three-layer workflow models of prototype, flow and business from bottom to top; the prototype is used for representing mutually independent business links in the production business, the flow is used for representing that multiple business links capable of completing one task are combined according to a certain sequence, and the business is used for representing the binding relation between the flow and a specific file; a workflow case conforming to the actual business is self-customized on a computer on the basis of the workflow models; the workflow case is converted to generate a workflow case configuration file to facilitate transmission and use; the workflow case configuration file is used for recording all information in the workflow case for recognition and use of the computer; and the computer analyzes and loads the workflow case configuration file and drives automatic execution of the case. The method has good generality.

The invention provides a dynamic rerouting automatic test method and system based on an ASON (Automatically Switched Optical Network), and relates to the field of automatic test. The method comprisesthe following steps: step S1, deploying an optical switch between any two adjacent network elements in a network topology, setting a control machine to control the optical switch, and an error code analyzer of a web master and monitoring services, and initializing all configurations; step S2, automatically generating and testing a breakpoint in the next step and an expected route test corresponding to the breakpoint by the control machine through the current route read by the web master, and controlling the breakpoint to generate routing switching by the control machine through the optical switch; step S3, after each route switching is successful, selecting at least one optimal expected route in the expected route set by the control machine, and comparing with a route after switching; andstep S4, repeating steps S2 and S3 until the test is completed. According to the dynamic rerouting automatic test method based on the ASON provided by the invention, the test step is dynamically generated according to the current test condition, and the automatic test of the dynamic route is realized, thus various disadvantages caused by manual test are avoided, and the accuracy of a test result is improved.

The embodiment of the invention belongs to the technical field of research and development, and relates to an automatic test method, which comprises the steps of inputting different test scenes and test parameters in advance; determining test cases of all sub-functions in a currently tested page form according to the test scenes and the test parameters; according to a preset test model, calculating a prediction probability of each test case for the sub-function, and when the prediction probability is greater than or equal to a preset threshold, determining that the test case passes the sub-function test; and calculating the proportion of the test cases passing the test in all the test cases corresponding to the page form, and when the proportion is greater than or equal to a preset passingrate, determining that the target function test of the page form passes. The invention further provides an automatic testing device, computer equipment and a storage medium. In addition, the invention also relates to a blockchain technology, and the test parameters can be stored in the blockchain. According to the invention, automatic testing is realized, and the testing efficiency is improved.

The invention provides a transformer substation unmanned aerial vehicle inspection method based on artificial intelligence, and belongs to the technical field of electric power. Based on an unmanned aerial vehicle intelligent inspection system, construction of a digital converter station and an intelligent transformer substation is achieved, and a small RTK multi-rotor unmanned aerial vehicle inspection device, a three-light multi-rotor unmanned aerial vehicle mounting sensing device, high-precision laser point cloud data acquisition and intelligent track design planning, unmanned aerial vehicle intelligent control platform terminal software and a fixed intelligent machine nest are arranged. Based on an unmanned aerial vehicle control algorithm of multi-sensor fusion, accurate control of unmanned aerial vehicle attitudes, holders and the like is realized, and omnibearing dynamic sensing of the real-time position of the transformer substation patrol unmanned aerial vehicle is realized by applying Beidou high-precision positioning and a local area network transmission technology in a patrol data station of the unmanned aerial vehicle. According to the invention, the problems of blind angles in inspection vision, high working intensity, low inspection efficiency, high operation risk, poor interference resistance and short endurance are solved.

The invention relates to the field of data processing, realizes rapid additional recording of missing data by optimizing a timed task transaction processing process, and particularly provides a missing data additional recording method, device and equipment and a storage medium. The method comprises the steps of obtaining corresponding task execution logic and task specified execution time according to each piece of obtained failure timing task identification information, and generating a plurality of data additional recording tasks; setting a task state identification variable for each data additional recording task; calling a preset project container; starting the project container to load a plurality of data additional recording tasks and triggering to create a new thread, and executingthe data additional recording tasks by utilizing the new thread through a polling mechanism; and monitoring the data additional recording task according to the task state identification variable, andending the thread when the plurality of data additional recording tasks are completely executed. By means of the method, automatic execution of the failure timing task is achieved, the problems that manual data supplementary recording is low in efficiency and prone to making mistakes are solved, and the data processing efficiency and accuracy are improved.

An optimal design method for a shear wall structure comprises the following steps: (1) establishing an Abaqus model of the shear wall structure; (2) building a shear wall structure test design comprehensive analysis platform, obtaining a numerical simulation calculation result of the shear wall structure, and further carrying out calculation; (3) taking the position distribution of the shear wall in the Abaqus model as a test design factor; and generating a design matrix for determining calculation item parameter selection and calculation times according to a specified test design algorithm; (4) performing sensitivity analysis on each set by applying a DOE method in the shear wall optimization design comprehensive analysis platform; (5) according to a sensitivity analysis result, eliminating factors with relatively small influence degree on a target result; (6) carrying out size optimization calculation on the remaining factors, and selecting a relatively optimal calculation scheme as a design result according to a target function; and (7) carrying out verification calculation. The effectiveness and reliability of optimization design of the shear wall structure are improved, and unattended intelligent optimization design is achieved.

The invention provides a business expansion business platform, and the platform comprises a business acceptance unit which is used for receiving application information sent by a client and generating a task according to the application information; a task distribution unit which is used for distributing the tasks to the mobile terminals of the responsible personnel of the corresponding areas according to the areas to which the tasks belong; an on-site acquisition unit which is used for receiving the on-site image and the on-site travel track sent by the mobile terminal; a topology construction unit which is used for generating a field load node topological graph according to the field image and the field travel track; a scheme generation unit which is used for generating a power supply equipment deployment scheme according to the field load node topological graph; and a synchronous forwarding unit which is used for sending the field image, the field travel track, the field load node topological graph and the power supply equipment deployment scheme to the client. According to the invention, automatic execution of business expansion business can be realized, the whole business process is developed to a user side, business transparency is realized, and service quality is improved.

The invention discloses a studio production business process management control method and system, and the method comprises the steps: configuring equipment parameters of equipment needed by an application scene into different parameter files according to the difference of the application scene; establishing calling instructions of different parameter files and establishing a command set for completing each application scene; wherein the control mode of the command set is a 'macro' application mode, and the command set is composed of a plurality of calling instructions according to a preset equipment calling sequence; and triggering a command set of the to-be-completed application scene, and sequentially calling the parameter files of the corresponding equipment by a calling instruction inthe command set to complete the required scene switching. According to the method, the calling commands for the parameter files are combined into an independent command according to different scene application sequences, so that automatic execution of a group of sub-commands is realized; according to the method, scene one-key switching, group switching and other user-defined functions are completed through the command set, user operation can be simplified, and unified control is completed.