CN111882453B - Power grid enterprise management system based on application of cloud object intelligent-shifting new technology - Google Patents
Power grid enterprise management system based on application of cloud object intelligent-shifting new technology Download PDFInfo
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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
Technical Field
The invention relates to the field of electric power, in particular to a power grid enterprise management system based on application of a new intelligent cloud object moving technology.
Background
Currently, a new technological revolution and industry reform and roll up the world, a plurality of new technologies such as big data, cloud computing, internet of things, mobile interconnection, artificial intelligence (hereinafter collectively referred to as 'big cloud object intelligence transfer') and the like are continuously emerging, and digital economy is deeply changing the production and life modes of human beings and becomes new kinetic energy for economic growth. New information technology applications are gradually extending towards "full scene": new products and new schemes in the fields of cloud computing, big data, internet of things, artificial intelligence and the like are endless, and are applied to a plurality of industry scenes. In the field of power grids, the national power grid limited company provides a new era strategic goal of building a world first-energy Internet enterprise with excellent competitiveness, explores how to further deeply integrate a new technology with power grid production, operation and service by pushing the new technology, injects new power for production mode innovation and service mode innovation, enriches business and business modes, pushes transformation audit and quality improvement and efficiency, and is effective assistance for realizing the goal. The existing power grid enterprises cannot achieve three-in-one and three-in-one, namely the business flow, the fund flow and the information flow of the enterprises cannot be synchronized, the information in the enterprises is not shared timely, and meanwhile, closed-loop feedback cannot be achieved in the enterprises, so that the development of the power grid enterprises is seriously affected.
Disclosure of Invention
Based on the existing enterprise problem, the invention provides a power grid enterprise management system based on the application of a cloud object intelligent-shifting new technology.
The invention provides a power grid enterprise management system based on the application of a new cloud object intelligent-shifting technology, 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,
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.
Preferably, the method comprises the steps of,
the asset management analysis module comprises an asset two-dimension code scanning module, an asset information storage module, an asset state analysis module and an asset value evaluation module,
the asset two-dimensional code scanning module, the asset information storage module, the asset state analysis module and the asset value evaluation module are sequentially connected through a network.
Preferably, the method comprises the steps of,
the asset two-dimensional code scanning module scans enterprise asset information two-dimensional codes and stores the scanned asset information two-dimensional codes into the asset information storage module, the asset state analysis module analyzes the existing state of the asset, analyzes the actual state, use and abrasion conditions of the asset, stores actual asset value data into the asset value evaluation module, and the asset value evaluation module classifies the asset in a grading manner.
Preferably, the service information management module comprises a service information input module,
the service information storage module is provided with a service information storage module,
a business statistics analysis module and a business intelligent distribution module, the business information input module,
the service information storage module is provided with a service information storage module,
the business statistical analysis module and the business intelligent distribution module are sequentially connected through a network.
Preferably, the business information input module inputs the order information of each business person, the input terminal is mobile equipment or computer equipment, the business information input module stores the order information into the business information storage module for storage after inputting the order information of each business person, the order information is prevented from being lost, meanwhile, the newly stored order information is imported into the business statistics analysis module, the cost and profit of the order are automatically evaluated, and each item group is distributed after the order is reasonably matched through the business intelligent distribution module.
Preferably, the cost monitoring and early warning module comprises a cost information inclusion module,
a cost information storage module is provided for storing the cost information,
a cost evaluation module and a cost early warning module, wherein the cost information is included in the module,
a cost information storage module is provided for storing the cost information,
the cost evaluation module and the cost early warning module are sequentially connected through a network.
Preferably, the cost information incorporating module incorporates cost accounting of each part of the product, stores the cost accounting into the cost information storage module, and the cost evaluation module performs digital evaluation on the cost and performs early warning on the high-cost product through the cost early warning module.
Preferably, the fund flow management monitoring module monitors the fund flow of the enterprise, and monitors the fund by means of cloud computing.
Preferably, the service quality monitoring feedback module comprises a customer feedback information receiving module,
the client feedback information classification module is used for classifying the information,
a feedback information distribution module and a feedback information tracking module, the customer feedback information receiving module,
the client feedback information classification module is used for classifying the information,
the feedback information distribution module and the feedback information tracking module are sequentially connected through a network.
Preferably, the client feedback information receiving module receives the information fed back by the client, the client feedback information classifying module classifies the types of the problems fed back, the feedback information is distributed to respective authorities through the feedback information distributing module, the authorities answer the information, and the client satisfaction is investigated through the feedback information tracking module.
The beneficial effects of the invention are as follows:
1, an asset management and control analysis module classifies assets with good states and assets with higher risk coefficients, classifies enterprise assets in a classified mode, achieves asset digitization, facilitates enterprise managers to master actual assets of enterprises, facilitates the managers to master high-risk assets in real time, and reduces risks of the enterprises;
2, the business information management module distributes each project group after reasonably collocating the orders through the business intelligent distribution module, thereby effectively avoiding uneven distribution of the orders, greatly improving the work enthusiasm of the project groups and forming virtuous circle;
3, the cost monitoring and early warning module carries out early warning on the high-cost product, the early warning is based on big data technology, realizes the real-time monitoring of main operation cost data such as 'price, cost and cost loss',
and (5) displaying, risk early warning and evaluating. 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.
4. The fund flow direction management monitoring module monitors the fund flow of the enterprise, monitors and pre-warns abnormal flow direction of the fund flow, monitors the fund in a cloud computing mode, and prevents the fund from being moved by high management in the enterprise, so that the health of the fund flow of the enterprise is ensured;
5. through a closed-loop feedback system, the satisfaction degree of customers to enterprises can be greatly improved, the application of a new technology of 'cloud object intelligent movement' is taken as a breakthrough, the professional barrier is broken, the three-stream integration of business flow, fund flow and information flow of a company is enhanced, the whole business fusion, full data communication and whole information sharing of the company are realized, and the comprehensive management and control capability, the scientific decision capability and the intelligent operation level of the company are comprehensively improved.
Drawings
FIG. 1 is a schematic diagram of a power grid enterprise management system based on the application of the new cloud object intelligent movement technology;
FIG. 2 is a schematic diagram of an asset management analysis module in a power grid enterprise management system based on the application of the new cloud object intelligent movement technology;
FIG. 3 is a schematic diagram of a business information management module in a power grid enterprise management system based on the application of the new cloud object intelligent movement technology;
fig. 4 is a schematic diagram of a cost monitoring and early warning module in a power grid enterprise management system based on application of the new cloud object intelligent movement technology.
Fig. 5 is a schematic diagram of a service quality monitoring feedback module in a power grid enterprise management system based on application of the new cloud intelligent movement technology.
In the figure:
1-asset management and analysis module,
2-business information management module,
3-cost monitoring and early warning module,
4-fund flow direction management and monitoring module,
A 5-service quality monitoring feedback module,
11-asset two-dimension 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 statistics analysis module,
24-business intelligent distribution module,
31-cost information incorporating module,
32-cost information storage module,
33-a cost evaluation module,
34-a cost early 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 Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments.
Example 1
Referring to fig. 1-4, a power grid enterprise management system based on the application of the new cloud object intelligent movement technology comprises an asset management and control analysis module 1, a business information management module 2, a cost monitoring and early warning module 3 and a fund flow direction management and monitoring module 4, wherein the asset management and control analysis module 1, the business information management module 2, the cost monitoring and early warning module 3 and the fund flow direction management and monitoring module 4 are all connected through a network;
the asset management and control analysis module 1 internally comprises an asset two-dimension code scanning module 11, an asset information storage module 12, an asset state analysis module 13 and an asset value evaluation module 14, wherein the asset two-dimension code scanning module 11, the asset information storage module 12, the asset state analysis module 13 and the asset value evaluation module 14 are sequentially connected through a network, the asset two-dimension code scanning module 11 scans the enterprise asset information two-dimension code and stores the scanned enterprise asset information two-dimension code into the asset information storage module 12, the asset state analysis module 13 analyzes the existing state of an asset, analyzes the actual state, use and abrasion conditions of the asset, stores actual asset value data into the asset value evaluation module 14, the asset value evaluation module 14 classifies the asset with good state and the asset with higher risk coefficient, classifies the enterprise asset in a classified manner and realizes the digitization of the asset, thereby facilitating the enterprise manager to grasp the actual asset of the enterprise, and simultaneously facilitating the manager to grasp the high-risk asset in real time and reducing the risk of the enterprise;
the business information management module 2 comprises a business information input module 21, a business information storage module 22, a business statistics analysis module 23 and a business intelligent distribution module 24, wherein the business information input module 21, the business information storage module 22, the business statistics analysis module 23 and the business intelligent distribution module 24 are sequentially connected through a network, the business information input module 21 inputs order information of each business person, an input terminal is mobile equipment or computer equipment, the business information input module 21 inputs the order information of each business person and then stores the order information into the business information storage module 22 for storage, order information loss is prevented, meanwhile, newly stored order information is imported into the business statistics analysis module 23, cost and profit of an order are automatically evaluated, and each item group is distributed after the order is reasonably matched through the business intelligent distribution module 24, so that uneven order distribution can be effectively avoided, and work enthusiasm of the item groups is greatly improved, and virtuous circle is formed;
the cost monitoring and early warning module 3 comprises a cost information inclusion module 31, a cost information storage module 32, a cost evaluation module 33 and a cost early warning module 34, wherein the cost information inclusion module 31, the cost information storage module 32, the cost evaluation module 33 and the cost early warning module 34 are sequentially connected through a network, the cost information inclusion module 31 is used for inclusion of cost accounting of each part of products and storing the cost accounting into the cost information storage module 32, the cost evaluation module 33 is used for carrying out digital evaluation on the cost and carrying out early warning on high-cost products through the cost early warning module 34, and the early warning is based on big data technology, so that real-time monitoring, displaying, risk early warning and evaluation on main operation cost data such as cost price 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.
The fund flow direction management monitoring module 4 monitors the fund flow of the enterprise, monitors and pre-warns abnormal fund flow direction, monitors the fund in a cloud computing mode, and prevents the fund from being moved by high management in the enterprise, so that the health of the fund flow of the enterprise is guaranteed.
Example 2
Unlike embodiment 1, a quality of service monitoring feedback module 5 is added to embodiment 1
Referring to fig. 1-5, a power grid enterprise management system based on the application of the new cloud object intelligent movement technology comprises an asset management and control analysis module 1, a business information management module 2, a cost monitoring and early warning module 3, a fund flow direction management and monitoring module 4 and a service quality monitoring and feedback module 5, wherein the asset management and control analysis module 1, the business information management module 2, the cost monitoring and early warning module 3, the fund flow direction management and monitoring module 4 and the service quality monitoring and feedback module 5 are connected through a network;
the asset management and control analysis module 1 internally comprises an asset two-dimension code scanning module 11, an asset information storage module 12, an asset state analysis module 13 and an asset value evaluation module 14, wherein the asset two-dimension code scanning module 11, the asset information storage module 12, the asset state analysis module 13 and the asset value evaluation module 14 are sequentially connected through a network, the asset two-dimension code scanning module 11 scans the enterprise asset information two-dimension code and stores the scanned enterprise asset information two-dimension code into the asset information storage module 12, the asset state analysis module 13 analyzes the existing state of an asset, analyzes the actual state, use and abrasion conditions of the asset, stores actual asset value data into the asset value evaluation module 14, the asset value evaluation module 14 classifies the asset with good state and the asset with higher risk coefficient, classifies the enterprise asset in a classified manner and realizes the digitization of the asset, thereby facilitating the enterprise manager to grasp the actual asset of the enterprise, and simultaneously facilitating the manager to grasp the high-risk asset in real time and reducing the risk of the enterprise;
the business information management module 2 comprises a business information input module 21, a business information storage module 22, a business statistics analysis module 23 and a business intelligent distribution module 24, wherein the business information input module 21, the business information storage module 22, the business statistics analysis module 23 and the business intelligent distribution module 24 are sequentially connected through a network, the business information input module 21 inputs order information of each business person, an input terminal is mobile equipment or computer equipment, the business information input module 21 inputs the order information of each business person and then stores the order information into the business information storage module 22 for storage, order information loss is prevented, meanwhile, newly stored order information is imported into the business statistics analysis module 23, cost and profit of an order are automatically evaluated, and each item group is distributed after the order is reasonably matched through the business intelligent distribution module 24, so that uneven order distribution can be effectively avoided, and work enthusiasm of the item groups is greatly improved, and virtuous circle is formed;
the cost monitoring and early warning module 3 comprises a cost information inclusion module 31, a cost information storage module 32, a cost evaluation module 33 and a cost early warning module 34, wherein the cost information inclusion module 31, the cost information storage module 32, the cost evaluation module 33 and the cost early warning module 34 are sequentially connected through a network, the cost information inclusion module 31 is used for inclusion of cost accounting of each part of products and storing the cost accounting into the cost information storage module 32, the cost evaluation module 33 is used for carrying out digital evaluation on the cost and carrying out early warning on high-cost products through the cost early warning module 34, and the early warning is based on big data technology, so that real-time monitoring, displaying, risk early warning and evaluation on main operation cost data such as cost price 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.
The fund flow direction management monitoring module 4 monitors the fund flow of the enterprise, monitors and pre-warns abnormal fund flow direction, monitors the fund in a cloud computing mode, and prevents the fund from being moved by high management in the enterprise, so that the health of the fund flow of the enterprise is guaranteed.
The service quality monitoring feedback module 5 comprises a client feedback information receiving module 51, a client feedback information classifying module 52, a feedback information distributing module 53 and a feedback information tracking module 54, wherein the client feedback information receiving module 51, the client feedback information classifying module 52, the feedback information distributing module 53 and the feedback information tracking module 54 are sequentially connected through a network, the client feedback information receiving module 51 receives the information fed back by the client, the client feedback information classifying module 52 classifies the types of the problems fed back, such as quality problems, price problems and the like, the feedback information distributing module 53 distributes the information fed back to respective authorities, the responsible person answers the information, the feedback information tracking module 54 surveys the customer satisfaction, and the closed-loop feedback system can greatly improve the satisfaction of the client to the enterprise, breaks through a new technology of 'cloud intelligent movement', strengthens the professional barriers, strengthens the business flow, the fund flow and the information flow 'three-in-one', realizes the whole business fusion, the whole data communication and the whole information sharing of the company, and comprehensively improves the comprehensive control capacity, the decision-making capacity and the intelligent operation level of the company.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
Claims (5)
1. The power grid enterprise management system based on the application of the cloud object intelligent movement new technology comprises an asset management analysis module (1), a business information management module (2), a cost monitoring and early warning module (3), a fund flow direction management and monitoring module (4) and a service quality monitoring and feedback module (5), and is characterized in that the asset management analysis module (1), the business information management module (2), the cost monitoring and early warning module (3), the fund flow direction management and monitoring module (4) and the service quality monitoring and feedback module (5) are all connected through a network;
the asset management and control analysis module (1) comprises an asset two-dimension code scanning module (11), an asset information storage module (12), an asset state analysis module (13) and an asset value evaluation module (14), wherein the asset two-dimension code scanning module (11), the asset information storage module (12), the asset state analysis module (13) and the asset value evaluation module (14) are sequentially connected through a network;
the business information management module (2) comprises a business information input module (21), a business information storage module (22), a business statistics analysis module (23) and a business intelligent distribution module (24), wherein the business information input module (21), the business information storage module (22), the business statistics analysis module (23) and the business intelligent distribution module (24) are sequentially connected through a network;
the cost monitoring and early warning module (3) comprises a cost information inclusion module (31), a cost information storage module (32), a cost evaluation module (33) and a cost early warning module (34), wherein the cost information inclusion module (31), the cost information storage module (32), the cost evaluation module (33) and the cost early warning module (34) are sequentially connected through a network;
the fund flow direction management monitoring module (4) is used for monitoring the fund flow of an enterprise and monitoring the fund in a cloud computing mode;
the service quality monitoring feedback module (5) comprises a client feedback information receiving module (51), a client feedback information classifying module (52), a feedback information distributing module (53) and a feedback information tracking module (54), wherein the client feedback information receiving module (51), the client feedback information classifying module (52), the feedback information distributing module (53) and the feedback information tracking module (54) are sequentially connected through a network.
2. The power grid enterprise management system based on the new cloud object intelligent movement technology application according to claim 1, wherein the asset two-dimensional code scanning module (11) scans enterprise asset information two-dimensional codes and stores the scanned asset information two-dimensional codes into the asset information storage module (12), the asset state analysis module (13) analyzes the existing state of the asset, analyzes the actual state of the asset, uses and wear conditions, stores actual asset value data into the asset value evaluation module (14), and the asset value evaluation module (14) classifies the asset in a grading manner.
3. The power grid enterprise management system based on the new cloud material intelligent shifting technology application according to claim 2, wherein the business information input module (21) inputs order information of each business person, the input terminal is mobile equipment or computer equipment, the business information input module (21) stores the order information into the business information storage module (22) for storage after inputting the order information of each business person, order information loss is prevented, meanwhile, the newly stored order information is imported into the business statistics analysis module (23), cost and profit of the order are automatically estimated, and each item group is distributed after the order is reasonably matched through the business intelligent distribution module (24).
4. The power grid enterprise management system based on the new cloud objective intelligent technology application according to claim 1, wherein the cost information inclusion module (31) is used for inclusion of cost accounting of each part of products and storing the cost accounting in the cost information storage module (32), and the cost evaluation module (33) is used for digitally evaluating the cost and early warning the high-cost products through the cost early warning module (34).
5. The power grid enterprise management system based on the new cloud objective intelligent movement technology application according to claim 1, wherein the customer feedback information receiving module (51) receives information fed back by customers, the customer feedback information classifying module (52) classifies the types of questions fed back, the feedback information is distributed to respective authorities through the feedback information distributing module (53), the responsible person answers, and the customer satisfaction is investigated through the feedback information tracking module (54).
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| CN113627784A (en) * | 2021-08-09 | 2021-11-09 | 浙江天能优品网络科技有限公司 | Enterprise asset management intelligent decision-making system based on industrial internet |
| CN117252403B (en) * | 2023-11-17 | 2024-02-09 | 深圳市易图资讯股份有限公司 | Industrial resource allocation management method and system based on asset information data |
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