Task urging method and device based on artificial intelligence and electronic equipment

An artificial intelligence, task technology, applied in neural learning methods, office automation, biological neural network models, etc., to achieve the effect of improving completion efficiency

Pending Publication Date: 2022-02-18
ONECONNECT TECH SERVICES CO LTD SHENZHEN
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, the embodiment of the present application provides an artificial intelligence-based task urging method, device and electronic equipment to solve the problem of how to urge tasks in a timely manner in the prior art to improve the efficiency of task completion

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Task urging method and device based on artificial intelligence and electronic equipment
  • Task urging method and device based on artificial intelligence and electronic equipment
  • Task urging method and device based on artificial intelligence and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] see figure 1 , figure 1 It shows the implementation flow chart of an artificial intelligence-based task reminder method provided by the embodiment of the present application. The execution subject of the method is an electronic device, which includes but is not limited to a smart phone, a tablet computer, a notebook, a desktop computer, etc. . Such as figure 1 The illustrated AI-based task reminder method is detailed as follows:

[0064] In S101, the task data corresponding to the to-do task is acquired.

[0065] In this embodiment of the present application, the to-do task is a task to be executed currently, and specifically may be a node task to be executed in the complete project process. In one embodiment, the project process is an approval process, and the task to be executed is a task to be approved.

[0066] In the embodiment of this application, the task data corresponding to the to-do task includes, but is not limited to, the name of the project to which t...

Embodiment 2

[0164] figure 2 It shows a schematic structural diagram of an artificial intelligence-based task reminder device provided by the embodiment of the present application. For the convenience of description, only the parts related to the embodiment of the present application are shown:

[0165] The artificial intelligence-based task reminder device includes: task data acquisition unit 21, task feature vector determination unit 22, target cluster feature information determination unit 23, reminder duration determination unit 24, waiting duration determination 25 and reminder reminder unit 26. in:

[0166] The task data acquisition unit 21 is configured to acquire task data corresponding to the to-do tasks.

[0167] The task feature vector determining unit 22 is configured to input the task data into the convolutional neural network model for feature extraction processing, and obtain the task feature vector corresponding to the to-do task.

[0168] A target cluster feature inform...

Embodiment 3

[0184] image 3 It is a structural block diagram of an electronic device provided by another embodiment of the present application. Such as image 3 As shown, the electronic device 30 of this embodiment includes: a processor 31, a memory 32, and a computer program 33 stored in the memory 32 and operable on the processor 31, such as an equipment maintenance unit based on machine learning Procedures for evaluating methods. When the processor 31 executes the computer program 33, it realizes the steps in each embodiment of the above-mentioned task reminder method based on artificial intelligence, for example figure 1 S101 to S106 shown. Or, when the processor 31 executes the computer program 33, the above-mentioned figure 2 The function of each unit in the corresponding embodiment, for example, figure 2 For the functions of the task data acquisition unit 21 to reminder unit 26 shown, please refer to figure 2 Relevant descriptions in the corresponding embodiments are not r...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention is suitable for the technical field of artificial intelligence, and provides a task urging method and device based on artificial intelligence and electronic equipment. The method comprises the steps: obtaining task data corresponding to a to-do task; inputting the task data into a convolutional neural network model for feature extraction processing to obtain a task feature vector corresponding to the to-do task; inputting the task feature vector into a trained self-organizing feature mapping network for processing, and determining target clustering feature information corresponding to the task feature vector; determining the urging duration of the to-be-handled task according to the target clustering feature information; determining the current waiting time length of the to-do task; if the waiting duration is greater than or equal to the urging duration, sending urging reminding information. According to the embodiment of the invention, the task can be prompted in time, and the task completion efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to an artificial intelligence-based task prompting method, device and electronic equipment. Background technique [0002] Usually, there are multiple task nodes in the execution process of a project, and the task of each task node is executed by different personnel according to the corresponding time node. Since each task node has a relationship of mutual restriction and influence, it is very important to manage and supervise the task execution of each task node. In the existing methods, the execution of tasks is usually supervised manually. However, this method requires a large cost of manpower and communication, resulting in low efficiency of task completion. Contents of the invention [0003] In view of this, the embodiment of the present application provides an artificial intelligence-based task reminder method, device, and electronic equipment ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/10G06N3/04G06N3/08
CPCG06Q10/103G06Q10/109G06N3/08G06N3/045
Inventor 林晓峰张登张巨
Owner ONECONNECT TECH SERVICES CO LTD SHENZHEN
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products