CN111882453B - Power grid enterprise management system based on the application of new technologies of big cloud things and mobile intelligence - Google Patents

Abstract

The invention provides a power grid enterprise management system based on a new cloud object intelligent movement technology application, which comprises an asset management and control analysis module, a business information management module, a cost monitoring and early warning module, a fund flow direction management and monitoring module and a service quality monitoring and feedback module, wherein the asset management and control analysis module, the business information management module, the cost monitoring and early warning module, the fund flow direction management and monitoring module and the service quality monitoring and feedback module are all connected through a network. The cost monitoring and early warning module carries out early warning on high-cost products, and the early warning is based on big data technology, so that real-time monitoring, displaying, risk early warning and assessment on main operation cost data such as 'price, cost and cost loss' are realized. The method has the advantages that early warning and active coping of abnormal cost information are achieved, meanwhile, an equipment asset cost analysis decision model is built, the scientificalness and lean levels of investment decision management of companies are improved, and auxiliary decision making capability is enhanced.

Description

Power grid enterprise management system based on the application of new technologies of big cloud things and mobile intelligence

Technical field

The present invention relates to the field of electric power, specifically a power grid enterprise management system based on the application of new technology of Big Cloud Things Mobile Intelligence.

Background technique

Currently, a new round of scientific and technological revolution and industrial changes are sweeping the world. New technologies such as big data, cloud computing, Internet of Things, mobile Internet, and artificial intelligence (hereinafter collectively referred to as "Big Cloud, Things, and Intelligence") are constantly emerging. The digital economy is profoundly It is drastically changing human production and lifestyle and becoming a new driving force for economic growth. New information technology applications are gradually extending to "all scenarios": new products and solutions in cloud computing, big data, Internet of Things, artificial intelligence and other fields are emerging one after another, and they have relatively mature applications in multiple industry scenarios. In the field of power grids, State Grid Corporation of China has proposed the new era strategic goal of building a "world-class energy Internet enterprise with excellent competitiveness" and explores how to further integrate new technologies with power grid production, operations, and services to transform and serve production methods. Model innovation injects new impetus, enriches businesses and business models, promotes transformation auditing and improves quality and efficiency, which are effective aids in achieving this goal. Existing power grid enterprises cannot achieve "three flows into one". "Three flows into one" means that the company's business flow, capital flow, and information flow cannot be synchronized, the company's internal information sharing is not timely, and at the same time, the company cannot achieve closed-loop feedback, which is serious. Affect the development of power grid enterprises.

Contents of the invention

Based on the existing enterprise problems, the present invention proposes a power grid enterprise management system based on the application of new technologies of big cloud and mobile intelligence.

The power grid enterprise management system proposed by the present invention based on the application of new technologies of Big Cloud Things Mobile Intelligence includes an asset management and control analysis module, a business information management module, a cost monitoring and early warning module, a capital flow management monitoring module and a service quality monitoring and feedback module.

The asset management and control analysis module, business information management module, cost monitoring and early warning module, capital flow management and monitoring module and service quality monitoring and feedback module are all connected through the network.

Preferably,

The asset management and control analysis module includes an asset QR code scanning module, an asset information storage module, an asset status analysis module and an asset value assessment module.

The asset QR code scanning module, asset information storage module, asset status analysis module and asset value assessment module are connected through the network in turn.

Preferably,

The asset QR code scanning module scans the QR code of enterprise asset information and stores it in the asset information storage module. The asset status analysis module analyzes the existing status of the assets, analyzes the actual status, use and wear of the assets, and The actual asset value data is stored in the asset value assessment module, which classifies the assets.

Preferably, the business information management module includes a business information input module,

Business information storage module,

Business statistical analysis module and business intelligent distribution module, the business information input module,

Business information storage module,

The business statistical analysis module and the business intelligence distribution module are connected in sequence through the network.

Preferably, the business information input module enters the order information of each salesperson, and the entry terminal is a mobile device or a computer device. After the business information input module enters the order information of each salesperson, the order information is stored in the business information storage module. It is stored in the system to prevent the loss of order information. At the same time, the newly stored order information is imported into the business statistical analysis module, the cost and profit of the order are automatically evaluated, and the orders are reasonably matched and allocated to each project group through the business intelligent allocation module.

Preferably, the cost monitoring and early warning module includes a cost information inclusion module,

Cost information storage module,

Cost assessment module and cost warning module, the cost information is included in the module,

Cost information storage module,

The cost assessment module and the cost early warning module are connected in sequence through the network.

Preferably, the cost information inclusion module incorporates the cost accounting of each part of the product and stores the cost accounting in the cost information storage module. The cost assessment module digitally evaluates the cost and provides early warning for high-cost products through the cost early warning module.

Preferably, the capital flow management and monitoring module monitors the capital flow of the enterprise and monitors the funds through cloud computing.

Preferably, the service quality monitoring feedback module includes a customer feedback information receiving module,

Customer feedback information classification module,

a feedback information distribution module and a feedback information tracking module, the customer feedback information receiving module,

Customer feedback information classification module,

The feedback information distribution module and the feedback information tracking module are connected in sequence through the network.

Preferably, the customer feedback information receiving module receives customer feedback information, the customer feedback information classification module classifies the types of feedback problems, and then distributes the feedback information to respective competent departments through the feedback information distribution module. The person in charge will answer the questions and conduct a survey on customer satisfaction through the feedback information tracking module.

The beneficial effects of the present invention are:

1. The asset management and control analysis module classifies assets in good condition and assets with high risk factors, classifies corporate assets and realizes asset digitization, which facilitates corporate managers to grasp the actual assets of the company, and at the same time facilitates managers to identify high-risk assets. Real-time control of assets to reduce corporate risks;

2. The business information management module uses the business intelligent allocation module to reasonably match orders and then allocate each project team, which can effectively avoid uneven distribution of orders, thereby greatly improving the work enthusiasm of the project team and forming a virtuous cycle;

3. The cost monitoring and early warning module provides early warning for high-cost products. The early warning is based on big data technology to realize real-time monitoring of major operating cost data such as "volume, price, expense, and loss".

Demonstration, risk warning and assessment. Achieve early warning and proactive response to abnormal cost information, and at the same time establish an equipment asset cost analysis and decision-making model to improve the scientific and lean level of the company's investment decision-making management and enhance the ability to assist decision-making.

4. The capital flow management and monitoring module monitors the capital flow of the enterprise, monitors and warns against abnormal capital flows, monitors funds through cloud computing, and prevents internal executives from misappropriating funds, thereby ensuring the safety of the company's capital flow. healthy;

5. Through the closed-loop feedback system, customers' satisfaction with the enterprise can be greatly improved. Using the new technology application of "Big Cloud, Things and Intelligence" as a breakthrough, we can break down professional barriers and strengthen the "three-stream integration" of the company's business flow, capital flow, and information flow. "One" to achieve the company's full business integration, full data connectivity, and full information sharing, and comprehensively improve the company's comprehensive management and control capabilities, scientific decision-making capabilities, and smart operation levels.

Description of the drawings

Figure 1 is a schematic diagram of a power grid enterprise management system based on the new technology application of big cloud things and mobile intelligence proposed by the present invention;

Figure 2 is a schematic diagram of the asset management and control analysis module in the power grid enterprise management system based on the new technology application of Big Cloud Things Mobile Intelligence proposed by the present invention;

Figure 3 is a schematic diagram of the business information management module in the power grid enterprise management system based on the new technology application of Big Cloud Things Mobile Intelligence proposed by the present invention;

Figure 4 is a schematic diagram of the cost monitoring and early warning module in the power grid enterprise management system based on the application of the new technology of big cloud and mobile intelligence proposed by the present invention.

Figure 5 is a schematic diagram of the service quality monitoring and feedback module in the power grid enterprise management system based on the new technology application of Big Cloud Things Mobile Intelligence proposed by the present invention.

In the picture:

1-Asset management and control analysis module,

2-Business information management module,

3-Cost monitoring and early warning module,

4-Fund flow management and monitoring module,

5-Service quality monitoring feedback module,

11-Asset QR code scanning module,

12-Asset information storage module,

13-Asset status analysis module,

14-Asset value assessment module,

21-Business information input module,

22-Business information storage module,

23-Business statistical analysis module,

24-Business intelligence distribution module,

31-Cost information inclusion module,

32-Cost information storage module,

33-Cost assessment module,

34-Cost warning module,

51-Customer feedback information receiving module,

52-Customer feedback information classification module,

53-Feedback information distribution module,

54-Feedback information tracking module.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all the embodiments.

Example 1

Referring to Figures 1-4, the power grid enterprise management system based on the new application of Big Cloud IoT Mobile Intelligence includes an asset management and control analysis module 1, a business information management module 2, a cost monitoring and early warning module 3 and a capital flow management and monitoring module 4. The assets The management and control analysis module 1, business information management module 2, cost monitoring and early warning module 3 and capital flow management and monitoring module 4 are all connected through the network;

The asset management and control analysis module 1 internally includes an asset QR code scanning module 11, an asset information storage module 12, an asset status analysis module 13 and an asset value assessment module 14. The asset QR code scanning module 11, asset information storage module 12, The asset status analysis module 13 and the asset value evaluation module 14 are connected in turn through the network. The asset QR code scanning module 11 scans the QR code of the enterprise asset information and stores it in the asset information storage module 12. The asset status analysis module 13 scans the QR code of the assets. Analyze the existing status, analyze the actual status, use and wear of the assets, and store the actual asset value data in the asset value assessment module 14. The asset value assessment module 14 classifies the assets and compares assets in good condition with Classify assets with higher risk coefficients, classify corporate assets and realize asset digitization, which facilitates corporate managers to grasp the actual assets of the enterprise, and at the same time facilitates managers to grasp high-risk assets in real time, reducing corporate risks;

The business information management module 2 includes a business information input module 21, a business information storage module 22, a business statistical analysis module 23, and a business intelligence distribution module 24. The business information input module 21, the business information storage module 22, the business statistical analysis module The module 23 and the business intelligence distribution module 24 are connected in sequence through the network. The business information input module 21 enters the order information of each salesperson. The entry terminal is a mobile device or a computer device. The business information input module 21 enters the order information of each salesperson. After the order information is entered, the order information is stored in the business information storage module 22 for storage to prevent the loss of the order information. At the same time, the newly stored order information is imported into the business statistical analysis module 23 to automatically evaluate the cost and profit of the order. And through the business intelligent allocation module 24, the orders are reasonably matched and then allocated to each project team, thereby effectively avoiding uneven distribution of orders, thereby greatly improving the work enthusiasm of the project team and forming a virtuous cycle;

The cost monitoring and early warning module 3 includes a cost information inclusion module 31, a cost information storage module 32, a cost evaluation module 33 and a cost early warning module 34. The cost information inclusion module 31, cost information storage module 32, cost evaluation module 33 and The cost warning modules 34 are connected in sequence through the network. The cost information inclusion module 31 incorporates the cost accounting of each part of the product and stores the cost accounting in the cost information storage module 32. The cost evaluation module 33 digitally evaluates the cost and Early warning is provided for high-cost products through the cost early warning module 34. The early warning is based on big data technology to realize real-time monitoring, display, risk warning and assessment of major operating cost data such as "volume, price, expense, and loss". Achieve early warning and proactive response to abnormal cost information, and at the same time establish an equipment asset cost analysis and decision-making model to improve the scientific and lean level of the company's investment decision-making management and enhance the ability to assist decision-making.

The capital flow management and monitoring module 4 monitors the capital flow of the enterprise, monitors and provides early warnings for abnormal capital flows, monitors funds through cloud computing, and prevents senior executives within the enterprise from misappropriating funds, thereby ensuring the capital flow of the enterprise. of health.

Example 2

The difference from Embodiment 1 is that a service quality monitoring feedback module 5 is added based on Embodiment 1.

Referring to Figure 1-5, the power grid enterprise management system based on the new technology application of Big Cloud IoT Mobile Intelligence includes asset management and control analysis module 1, business information management module 2, cost monitoring and early warning module 3, capital flow management and monitoring module 4 and service quality monitoring Feedback module 5. The asset management and control analysis module 1, business information management module 2, cost monitoring and early warning module 3, capital flow management monitoring module 4 and service quality monitoring feedback module 5 are all connected through the network;

The asset management and control analysis module 1 internally includes an asset QR code scanning module 11, an asset information storage module 12, an asset status analysis module 13 and an asset value assessment module 14. The asset QR code scanning module 11, asset information storage module 12, The asset status analysis module 13 and the asset value evaluation module 14 are connected in turn through the network. The asset QR code scanning module 11 scans the QR code of the enterprise asset information and stores it in the asset information storage module 12. The asset status analysis module 13 scans the QR code of the assets. Analyze the existing status, analyze the actual status, use and wear of the assets, and store the actual asset value data in the asset value assessment module 14. The asset value assessment module 14 classifies the assets and compares assets in good condition with Classify assets with higher risk coefficients, classify corporate assets and realize asset digitization, which facilitates corporate managers to grasp the actual assets of the enterprise, and at the same time facilitates managers to grasp high-risk assets in real time, reducing corporate risks;

The business information management module 2 includes a business information input module 21, a business information storage module 22, a business statistical analysis module 23, and a business intelligence distribution module 24. The business information input module 21, the business information storage module 22, the business statistical analysis module The module 23 and the business intelligence distribution module 24 are connected in sequence through the network. The business information input module 21 enters the order information of each salesperson. The entry terminal is a mobile device or a computer device. The business information input module 21 enters the order information of each salesperson. After the order information is entered, the order information is stored in the business information storage module 22 for storage to prevent the loss of the order information. At the same time, the newly stored order information is imported into the business statistical analysis module 23 to automatically evaluate the cost and profit of the order. And through the business intelligent allocation module 24, the orders are reasonably matched and then allocated to each project team, thereby effectively avoiding uneven distribution of orders, thereby greatly improving the work enthusiasm of the project team and forming a virtuous cycle;

The cost monitoring and early warning module 3 includes a cost information inclusion module 31, a cost information storage module 32, a cost evaluation module 33 and a cost early warning module 34. The cost information inclusion module 31, cost information storage module 32, cost evaluation module 33 and The cost warning modules 34 are connected in sequence through the network. The cost information inclusion module 31 incorporates the cost accounting of each part of the product and stores the cost accounting in the cost information storage module 32. The cost evaluation module 33 digitally evaluates the cost and Early warning is provided for high-cost products through the cost early warning module 34. The early warning is based on big data technology to realize real-time monitoring, display, risk warning and assessment of major operating cost data such as "volume, price, expense, and loss". Achieve early warning and proactive response to abnormal cost information, and at the same time establish an equipment asset cost analysis and decision-making model to improve the scientific and lean level of the company's investment decision-making management and enhance the ability to assist decision-making.

The capital flow management and monitoring module 4 monitors the capital flow of the enterprise, monitors and provides early warnings for abnormal capital flows, monitors funds through cloud computing, and prevents senior executives within the enterprise from misappropriating funds, thereby ensuring the capital flow of the enterprise. of health.

The service quality monitoring feedback module 5 includes a customer feedback information receiving module 51, a customer feedback information classification module 52, a feedback information distribution module 53, and a feedback information tracking module 54. The customer feedback information receiving module 51, customer feedback information classification module 52. The feedback information distribution module 53 and the feedback information tracking module 54 are connected in sequence through the network. The customer feedback information receiving module 51 receives customer feedback information, and the customer feedback information classification module 52 classifies the types of feedback problems, such as quality. problems, price issues, etc., and then distribute the feedback information to the respective competent departments through the feedback information distribution module 53, and the person in charge will answer it, and conduct a survey on customer satisfaction through the feedback information tracking module 54, through closed-loop feedback The system can greatly improve customer satisfaction with the enterprise. Taking the new technology application of "Big Cloud Object Mobile Intelligence" as a breakthrough, it breaks down professional barriers, strengthens the "three flows into one" of the company's business flow, capital flow, and information flow, and realizes the company's full business Integration, full data connectivity, and full information sharing comprehensively enhance the company's comprehensive management and control capabilities, scientific decision-making capabilities, and smart operation levels.

The above are only preferred specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person familiar with the technical field can, within the technical scope disclosed in the present invention, implement the technical solutions of the present invention. Equivalent substitutions or changes of the inventive concept thereof shall be included in the protection scope of the present invention.

Claims (5)

1. A power grid enterprise management system based on the application of new technologies of Dayun IoT Mobile Intelligence, including asset management and control analysis module (1), business information management module (2), cost monitoring and early warning module (3), and capital flow management and monitoring module (4) and service quality monitoring and feedback module (5), which is characterized in that the asset management and control analysis module (1), business information management module (2), cost monitoring and early warning module (3), capital flow management monitoring module (4) and service The quality monitoring feedback modules (5) are all connected through the network; The asset management and control analysis module (1) internally includes an asset QR code scanning module (11), an asset information storage module (12), an asset status analysis module (13) and an asset value assessment module (14). The asset QR code The scanning module (11), asset information storage module (12), asset status analysis module (13) and asset value assessment module (14) are connected in turn through the network; The business information management module (2) includes a business information input module (21), a business information storage module (22), a business statistical analysis module (23) and a business intelligent distribution module (24). The business information input module (21) 21), the business information storage module (22), the business statistical analysis module (23) and the business intelligence distribution module (24) are connected in sequence through the network; The cost monitoring and early warning module (3) includes a cost information inclusion module (31), a cost information storage module (32), a cost assessment module (33) and a cost early warning module (34). The cost information inclusion module (31) , the cost information storage module (32), the cost assessment module (33) and the cost early warning module (34) are connected in sequence through the network; The capital flow management and monitoring module (4) monitors the capital flow of the enterprise and monitors the funds through cloud computing; The service quality monitoring feedback module (5) includes a customer feedback information receiving module (51), a customer feedback information classification module (52), a feedback information distribution module (53) and a feedback information tracking module (54). The customer feedback information The information receiving module (51), customer feedback information classification module (52), feedback information distribution module (53) and feedback information tracking module (54) are connected in sequence through the network. 2. The power grid enterprise management system based on the application of new technologies of Big Cloud Object Mobile Intelligence according to claim 1, characterized in that the asset QR code scanning module (11) scans the QR code of enterprise asset information and stores it in The asset information storage module (12) and the asset status analysis module (13) analyze the existing status of the assets, analyze the actual status, use and wear of the assets, and store the actual asset value data in the asset value evaluation module (14 ), the asset value assessment module (14) classifies assets. 3. The power grid enterprise management system based on the new technology application of Big Cloud IoT Mobile Intelligence according to claim 2, characterized in that the business information input module (21) enters the order information of each salesperson, and the entry terminal is On a mobile device or computer device, the business information input module (21) enters the order information of each salesperson and stores the order information in the business information storage module (22) to prevent the loss of the order information and at the same time store the newly stored order information. Import it into the business statistical analysis module (23), automatically evaluate the cost and profit of the order, and allocate each project group after reasonably matching the order through the business intelligent allocation module (24). 4. The power grid enterprise management system based on the application of new technologies of Big Cloud IoT Mobile Intelligence according to claim 1, characterized in that the cost information inclusion module (31) incorporates the cost accounting of each part of the product, and calculates the cost. Stored in the cost information storage module (32), the cost evaluation module (33) digitally evaluates the cost and provides early warning for high-cost products through the cost early warning module (34). 5. The power grid enterprise management system based on the application of new technologies of Big Cloud Things Mobile Intelligence according to claim 1, characterized in that the customer feedback information receiving module (51) receives customer feedback information and classifies the customer feedback information. The module (52) classifies the types of feedback questions, and then allocates the feedback information to the respective competent departments through the feedback information allocation module (53), which is answered by the person in charge, and the customer is tracked through the feedback information tracking module (54) Satisfaction survey.