Process prediction method and device

A prediction method and process technology, applied in multi-programming devices, program control devices, inter-program communication, etc., can solve the problems of low reliability, high cost of time and energy, and high error probability, so as to improve reliability. Effect

Pending Publication Date: 2020-11-20
上海泛微网络科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology allows clients or servers (called peers) to receive requests about which nodes have new connections but they don't yet exist beforehand. They then use this knowledge to determine if any specific parts meet certain conditions and generate an appropriate response when needed. These responses will return back to their original sources after being processed correctly.

Problems solved by technology

This patented manual approach involves manually inspecting every possible way that certain parts or nodes can be affected during an operation's course (flow) before making any decisions about how it will go through). However this requires human judgment and may result in errors due to subjective factors like incorrectness or lack of knowledge on what happened at different points within the system being controlled.

Method used

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  • Process prediction method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066]

[0067] This embodiment provides a process prediction method. The process prediction method can be specifically executed by the server, such as figure 1 As shown, the method may include the following steps 1100 to 1400:

[0068] Step 1100, receiving a request from a client to obtain all exits of the current node, the request at least including data of the current node.

[0069] Wherein, the current node data includes at least current process information, operator setting information and form data.

[0070] Specifically, the request for obtaining all the exits of the current node may be that the client determines the current node of the process according to the current flowchart data when receiving the process prediction instruction, and obtains the It is generated after the current process information, the operator setting information and the form data.

[0071] It should be noted that, the process prediction instruction received by the client may, for example, be is

Embodiment 2

[0100]

[0101] This embodiment provides a process prediction method. The process prediction method can be specifically executed by the client, such as image 3 As shown, the method may include the following steps 3100 to 3300:

[0102] Step 3100, send a request to the server to obtain all exits of the current node; the request includes at least the data of the current node.

[0103]Wherein, the current node data includes at least current process information, operator setting information and form data. The request for obtaining all the exits of the current node may be that the client determines the current node of the process according to the current flow chart data when receiving the process prediction instruction, and obtains the current process information, It is generated after the operator sets the information and the form data.

[0104] It should be noted that, the process prediction instruction received by the client may, for example, be issued based on the user click

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Abstract

The invention provides a process prediction method and device. The method comprises the following steps of receiving a request for obtaining all exits of a current node from a client, wherein the request at least comprises current node data, obtaining all exit sets taking the current node as a starting node; sequentially judging whether each outlet in the outlet set meets a corresponding outlet condition or not based on the current node data, and generating a response message according to a judgment result; and returning the response message to the client. According to the method, reliabilityand efficiency of process prediction can be improved.

Description

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Claims

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Application Information

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Owner 上海泛微网络科技股份有限公司
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