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Artificial intelligence-based material demand plan examination system

A technology of artificial intelligence and review system, applied in the fields of resources, computing, office automation, etc., can solve problems such as low efficiency of experts

Pending Publication Date: 2022-02-01
STATE GRID SHANDONG ELECTRIC POWER
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In view of the above-mentioned shortcomings existing in the prior art, the purpose of the present invention is to provide a material demand plan review system based on artificial intelligence, through the RPA robot process automation technology, to solve the problem of low efficiency of experts in plan review, replace part of the work of experts, and automatically meet demand Plan for review and system operation

Method used

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  • Artificial intelligence-based material demand plan examination system
  • Artificial intelligence-based material demand plan examination system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0069] see Figure 1-7 As shown, the material demand plan review system based on artificial intelligence, distributed framework service module 1, authorized user service module 2, business review service module 3, AI engine deep learning automation service module 4, third-party communication service model 5 and network disk Service module 6;

[0070] The distributed framework service module 1 is used to distribute various services from the authorized user service module 2 to the business review service module 3 for processing;

[0071] The distributed framework service module 1 includes a communication gateway module, a network fuse module, a message distribution module, a load balancing module and a network monitoring module, wherein:

[0072] The communication gateway module is used to translate different communication protocols, data formats or languages;

[0073] The network fuse module is used for the rapid failure of upstream services and protects downstream services. ...

Embodiment 2

[0109] The review smart assistant replaces the review expert to complete the review work

[0110] (1) Matching analysis of business processes and smart assistants suitable for review

[0111] Analysis and review of the business characteristics that the smart assistant can handle include: 1) The size of the business volume. In the actual plan review work, there are many businesses with heavy workload and error-prone. Applying the smart assistant for review to replace plan review can save human resources and improve the accuracy of work. 2) Duplication of work content. RPA technology is characterized by running scripts with clear rules. The highly repetitive work in the plan review work means that the rules are highly consistent, which is suitable for the application of smart assistants for review. 3) The degree of digitization. The review smart assistant currently does not have a human thinking mode, but only a rudimentary artificial intelligence embodiment. Therefore, only ...

Embodiment 3

[0127] see Figure 8 As shown, the interactive Q&A between the review intelligent assistant and review experts

[0128] (1) Fuzzy matching of exact question and answer.

[0129] Analyze the professional questions entered by users, match them with the knowledge in the knowledge base, and return them to the users for accurate answers. The review intelligent assistant provides a question-and-answer set, and each piece of knowledge in the review intelligent assistant's question-and-answer set can have multiple ways of asking and multiple answers. Using open-source words, when the user enters a question, the intelligent review assistant will match the input question with the knowledge question method in the question-and-answer set. If the calculation result reaches the ideal threshold, take the answer of this piece of knowledge and reply. If there are multiple answers to this piece of knowledge, one will be randomly output to prevent the user from asking the same question multip...

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Abstract

The invention relates to the technical field of artificial intelligence review systems, and in particular, relates to an artificial intelligence-based material demand plan review system, wherein the system comprises a distributed framework service module, an authorized user service module, a business review service module, an AI engine deep learning automation service module, a third-party communication service model and a network disk service module; the distributed framework service module is used for distributing various businesses from the authorized user service module to the business review service module for processing; and the authorized user service module is used for submitting business materials and business modification materials or sending business examination consultation information after the user logs in through authority. According to the invention, the artificial intelligence technology is applied to replace expert work, the plan review accuracy rate is improved, and the artificial intelligence technology is applied to design a review assistant to communicate and interact with experts.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence review systems, in particular to a material demand plan review system based on artificial intelligence. Background technique [0002] During the plan review process, experts checked more than 20 key points of the planned procurement content and technical specifications, and manually compared and checked the data, resulting in a large amount of redundant work; experts need to communicate offline with the material responsible for the plan according to the review results. Operations such as return and modification, addition and review still require manual participation in each link, resulting in a long review line and "chaos" at the review meeting site. [0003] Through the research of existing technology, it is found that the following problems exist in the process of demand plan review: [0004] 1) The workload of plan review is relatively large, and experts spend more time on simp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/10G06Q10/06G06F16/182G06F16/176
CPCG06Q10/103G06Q10/06315G06F16/182G06F16/176
Inventor 尹超杨慧颖于舒尹明张川王楠王贞民
Owner STATE GRID SHANDONG ELECTRIC POWER