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Novel team task allocation method based on big data analysis

A task allocation and big data technology, applied in semantic analysis, data processing applications, electronic digital data processing, etc., can solve the problem of lack of effective feedback in order allocation, and achieve the goal of improving corporate social image, rational task allocation, and enhancing work efficiency. Effect

Inactive Publication Date: 2017-12-29
STATE GRID TIANJIN ELECTRIC POWER +1
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AI Technical Summary

Problems solved by technology

[0006] Lack of effective feedback on command deployment between the operating platform and the team’s external service personnel

Method used

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Embodiment Construction

[0023] The present invention will be further described in detail below through the specific examples, the following examples are only descriptive, not restrictive, and cannot limit the protection scope of the present invention with this.

[0024] A new team task assignment method based on big data analysis. This method relies on the existing national grid operation platform and 95598 work order data to effectively allocate team tasks. The allocation steps are:

[0025] ⑴ Integrate marketing, power distribution, and dispatching three professional data to form a unified basic database;

[0026] ⑵According to the 95598 work order data, a historical matching database of customer tasks and teams is formed;

[0027] (3) Carry out machine learning on work order information, use semantic recognition technology to extract work order description keywords, and use keywords to cooperate with the basic database to search for historical matching databases;

[0028] ⑷Automatically dispatch ...

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Abstract

The invention relates to a novel team task allocation method based on big data analysis. Team tasks are allocated by relying on the existing national power grid operation platform and 95598 work order data. The historical distribution condition of team tasks are analyzed using the big data technology, the corresponding relationship between teams and tasks is summarized, fuzzy matching is formed, and then, the matching accuracy is constantly improved and corrected in practice. After the database is gradually complete, the system automatically allocates the work orders of teams through machine learning. According to the allocation method provided by the invention, based on the fundamental contradiction between customer demand and team division, 95598 work order resources are utilized efficiently, the most real customer demands are explored, problems are solved perfectly through technical means, teams or individual customers are not affected, and one-stop 'all-around' service is provided for customers. Thus, the quality of service is significantly improved, and the social image of enterprises is enhanced.

Description

technical field [0001] The invention belongs to the technical field of power grid operation and maintenance, in particular to a novel team task assignment method based on big data analysis. Background technique [0002] As a power supply service company, how to quickly meet customer needs has become a very important task for the company, but in fact, there is always a lack of coordination between the company's work teams and customer needs. On the one hand, in order to improve the work efficiency and work quality of the teams , needs professional setting of team and group, and each team can complete a certain kind of work. On the other hand, the needs of customers are diverse, and the needs of each customer are constantly changing. Therefore, often a team cannot meet all the needs of customers. This caused a lot of misunderstandings for customers. Sometimes, the needs of customers are too vague, which also leads to the inability to accurately assign tasks to teams. [0003]...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06F17/30G06F17/27
CPCG06F16/245G06F40/30G06Q10/06311G06Q10/06312G06Q50/06
Inventor 范涛杨晓斌冯兆飞张庆堃高维钊王海峰范博王帅路庆凯张野
Owner STATE GRID TIANJIN ELECTRIC POWER
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