Electric power material intelligent evaluation system based on artificial intelligence

Abstract

The invention relates to the technical field of electric power materials, and discloses an intelligent electric power material evaluation system based on artificial intelligence, which comprises a database management module, a data acquisition module, a data analysis module, a demand prediction module, an authority management module, an intelligent evaluation module, a historical data analysis module and a dynamic adjustment module. And the database management module is used for creating, managing and operating the information data about the electric power materials stored in the database. According to the invention, the intelligent evaluation module evaluates whether the electric power materials in the inventory need to be adjusted according to the historical data and the real-time market price and the inventory mark price collected by the data collection module, and the authority management module carries out authority management according to the inventory supply end and the demand end of the market for the electric power materials. By means of the design, it can be guaranteed that regulation and control over the electric power materials are more accurate, and losses of enterprises can be reduced in the market environment unfavorable for the enterprises.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power materials, and in particular to an intelligent evaluation system for electric power materials based on artificial intelligence. Background Art

[0002] Safety stock is a buffer stock prepared to prevent uncertainties in future material supply or demand (such as large-scale sudden delivery expectations, unexpected interruptions or sudden delays in delivery, etc.). The safety stock index is instructive for the inventory level of materials. The larger the inventory level of materials, the less likely it is to be out of stock, but the larger the inventory level, the more excess inventory will appear.

[0003] The existing patent discloses a method and system for calculating the outbound quantity of electric power materials (publication number CN109272268A), which relates to the field of inventory information processing technology, and in particular to a method and system for processing inventory information of electric power materials, including receiving a user's request to calculate the outbound quantity of electric power materials in a future time period, locating the compatible information of the electric power materials according to the identification information of the requested electric power materials, and locating the historical data of each electric power material according to the identification information of the requested electric power materials, the first type of electric power materials, and the second type of electric power materials. In the technology disclosed in this patent, when the market faces drastic price fluctuations of electric power material equipment, storing too much equipment will often greatly increase the cost of the enterprise, while reducing the storage of electric power material equipment will face sudden demands that cannot be met. Summary of the invention

[0004] The main technical problem solved by the present invention is to provide an intelligent evaluation system for electric power materials based on artificial intelligence, which solves the problems in the above-mentioned background technology.

[0005] To solve the above technical problems, according to one aspect of the present invention, more specifically, an intelligent evaluation system for electric power materials based on artificial intelligence includes a database management module, a data acquisition module, a data analysis module, a demand forecasting module, a rights management module, an intelligent evaluation module, a historical data analysis module and a dynamic adjustment module;

[0006] The database management module is used to create, manage and operate the information data about electric power materials stored in the database, and supports the storage, retrieval and management of the information data of electric power materials;

[0007] The data collection module collects the warehousing, delivery, inventory and usage of materials in real time through Internet of Things devices or barcode / RFID technology.

[0008] The data analysis module is used to cooperate with statistical analysis and machine learning to analyze the use, quality assessment and market trends of materials;

[0009] The demand forecasting module predicts the future demand for materials based on historical usage data, and combines market changes and project requirements to determine whether the power materials on the supply side of the warehouse are greater than the demand on the market demand side, and adjusts the procurement plan and inventory strategy of power materials in real time;

[0010] The historical data analysis module uses time series regression analysis to predict future material demand based on historical usage data;

[0011] The intelligent evaluation module evaluates the status of the inventory supply side and the market demand side of the electronic materials based on the feedback from the historical data analysis module, the data collection module and the demand prediction module.

[0012] Furthermore, the intelligent evaluation module determines whether the intelligent evaluation module needs to be adjusted based on the similarity with historical data, the real-time market price and the consumption rate of the stock power materials, including:

[0013]

[0014] Among them, G represents the evaluation coefficient, v represents the consumption rate of the stock power materials, c represents the similarity between the real-time market price and the power material consumption rate and the historical record data, a represents the real-time market price of power materials, and b represents the price of electronic materials marked in the inventory; and there are:

[0015]

[0016] In the formula, m represents the current inventory, m0 represents the inventory in the previous adjustment cycle, and T represents the average cycle of inventory adjustment.

[0017] Furthermore, the similarity with historical data is determined based on the real-time market price, the consumption rate of the power materials in stock, and the average cycle of the adjustment of the power materials inventory.

[0018]

[0019] Where c represents the similarity between the real-time market price and the consumption rate of electric power materials and the historical record data, a represents the real-time market price of electric power materials, a1 represents the market price collected once and stored in the data storage module, v represents the consumption rate of electric power materials in stock, v1 represents the consumption rate of electric power materials collected once and stored in the data storage module, and T represents the average cycle of inventory adjustment.

[0020] Furthermore, when G ≥ 65%, it means that the evaluation of the intelligent evaluation module needs to be adjusted;

[0021] When G < 65%, it means that the evaluation of the intelligent evaluation module does not need to be adjusted.

[0022] Furthermore, the authority management module is used to release authority contraction or expansion information to the dynamic adjustment module based on the information feedback from the demand forecasting module as to whether the power materials on the supply side are greater than the demand on the market demand side.

[0023] Furthermore, in the dynamic adjustment module:

[0024] When the authority management module outputs feedback information of authority reduction, and the intelligent evaluation module evaluates that adjustment is needed, the dynamic adjustment module performs power material reduction adjustment;

[0025] When the authority management module outputs feedback information about authority expansion, and the intelligent evaluation module evaluates that adjustment is needed, the dynamic adjustment module performs expansion adjustment of power materials;

[0026] When the authority management module outputs feedback information on authority expansion or reduction, and the intelligent evaluation module evaluates that no adjustment is needed, the dynamic adjustment module does not need to make adjustments to the expansion or reduction of materials.

[0027] Furthermore, the data acquisition module accesses external data such as market prices, supplier information and industry dynamics to update the timeliness of analysis and evaluation by the data analysis module and the intelligent evaluation module in real time.

[0028] Furthermore, the database management module specifically includes a data storage module and a data security module;

[0029] The data storage module is used to store the material type, specification, inventory and price information of the power materials;

[0030] The data security module is used to constrain the integrity of data through authority management and dynamic adjustment of the warehouse.

[0031] Beneficial effects:

[0032] The present invention uses an intelligent evaluation module to evaluate whether it is necessary to adjust the power materials in the inventory according to historical data and the real-time market prices and inventory mark prices collected by the data acquisition module, while the authority management module determines whether the adjustment is a contraction adjustment or an expansion adjustment according to the inventory supply end and the market demand end for power materials. This design can ensure more precise regulation of power materials and reduce the losses of enterprises in a market environment that is unfavorable to enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a structural schematic diagram of the present invention. DETAILED DESCRIPTION

[0034] In order to make the technical solution of the present invention clearer, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0035] Example 1

[0036] like Figure 1 As shown, according to one aspect of the present invention, there is provided an artificial intelligence-based intelligent evaluation system for electric power materials, including a database management module, a data acquisition module, a data analysis module, a demand forecasting module, an authority management module, an intelligent evaluation module, a historical data analysis module and a dynamic adjustment module; the database management module is used to create, manage and operate information data about electric power materials stored in the database, and supports the storage, retrieval and management of information data on electric power materials; the data acquisition module collects the warehousing, outbound, inventory and usage of materials in real time through Internet of Things devices or barcode / RFID technology. The data analysis module is used to analyze the usage, quality assessment and market trends of materials by combining statistical analysis and machine learning. The demand forecasting module predicts the future demand for materials based on historical usage data, and combines market changes and project requirements to determine whether the power materials on the inventory supply side are greater than the demand on the market demand side, and adjusts the procurement plan and inventory strategy of power materials in real time. The historical data analysis module uses time series regression analysis to predict the future demand for materials based on historical usage data. The intelligent evaluation module evaluates the status of the inventory supply side and the market demand side of electronic materials based on the feedback from the historical data analysis module, the data acquisition module and the demand forecasting module. The intelligent evaluation module evaluates whether it is necessary to adjust the power materials in the inventory based on historical data and the real-time market price and inventory mark price collected by the data acquisition module. The authority management module determines whether the adjustment is a contraction adjustment or an expansion adjustment based on the inventory supply side and the market demand side for power materials. This design can ensure more precise regulation of power materials and reduce the losses of enterprises in a market environment that is unfavorable to enterprises.

[0037] Example 2

[0038] Based on the real-time market price, the consumption rate of the power materials in stock, and the average cycle of the adjustment of the power materials inventory, the similarity with the historical data is determined as follows:

[0039]

[0040] Where c represents the similarity between the real-time market price and the consumption rate of electric power materials and the historical record data, a represents the real-time market price of electric power materials, a1 represents the market price collected once and stored in the data storage module, v represents the consumption rate of electric power materials in stock, v1 represents the consumption rate of electric power materials collected once and stored in the data storage module, and T represents the average cycle of inventory adjustment.

[0041] When evaluating the inventory status of electric power materials during an adjustment period, the real-time market price of electric power materials is taken as a=4.6 (10,000 yuan), the market price collected once and stored in the data storage module is a1=4.7 (10,000 yuan), the consumption rate of electric power materials collected once and stored in the data storage module is v=1.2 (devices / day), and the consumption rate of electric power materials collected once and stored in the data storage module is v1=1.2 (devices / day). Among them, the values ​​of historically stored data v1 and a1 are taken as the data with the smallest v and a, and the average cycle of inventory adjustment is T=13 (days). Then, the similarity between the real-time market price and the consumption rate of electric power materials and the historical record data is:

[0042]

[0043] From the above calculation, it can be known that the historical storage data contains data that is most similar to the data collected this time, and the similarity is c=0.92.

[0044] In this embodiment, the intelligent evaluation module determines whether the intelligent evaluation module needs to be adjusted based on the similarity with historical data, the real-time market price and the consumption rate of the inventory of power materials. The evaluation is as follows:

[0045]

[0046] Among them, G represents the evaluation coefficient, v represents the consumption rate of the stock power materials, c represents the similarity between the real-time market price and the power material consumption rate and the historical record data, a represents the real-time market price of power materials, and b represents the price of electronic materials marked in the inventory; and there are:

[0047]

[0048] In the formula, m represents the current inventory, m0 represents the inventory in the previous adjustment cycle, and T represents the average cycle of inventory adjustment.

[0049] When evaluating the inventory status of power materials during an adjustment period, the current inventory is m = 52 (equipment units), the inventory of the previous adjustment period is m0 = 68 (equipment units), and the average cycle of inventory adjustment is T = 13 (days), then the consumption rate of the inventory power materials is:

[0050]

[0051] From the above calculation, we can know that the consumption rate of the stored power materials is v = 1.2 equipment / day.

[0052] The real-time market price of electric power materials is a = 4.6 (10,000 yuan), and the price of electronic materials marked in inventory is b = 4.7. Then, the evaluation coefficient for this time is:

[0053]

[0054] From the above calculation, it can be known that the evaluation coefficient this time is G=77%, so the evaluation of the intelligent evaluation module needs to be adjusted.

[0055] When G ≥ 65%, it means that the evaluation of the intelligent evaluation module needs to be adjusted;

[0056] When G < 65%, it means that the evaluation of the intelligent evaluation module does not need to be adjusted.

[0057] In this embodiment, the authority management module is used to release authority contraction or expansion information to the dynamic adjustment module based on the information feedback from the demand forecast module on whether the supply-side power materials are greater than the market demand-side demand. In the dynamic adjustment module:

[0058] When the authority management module outputs feedback information of authority reduction, and the intelligent evaluation module evaluates that adjustment is needed, the dynamic adjustment module performs power material reduction adjustment;

[0059] When the authority management module outputs feedback information about authority expansion, and the intelligent evaluation module evaluates that adjustment is needed, the dynamic adjustment module performs expansion adjustment of power materials;

[0060] When the authority management module outputs feedback information on authority expansion or reduction, and the intelligent evaluation module evaluates that no adjustment is needed, the dynamic adjustment module does not need to make adjustments to the expansion or reduction of materials.

[0061] Example 3

[0062] The data acquisition module accesses external data such as market prices, supplier information, and industry dynamics to update the timeliness of the analysis and evaluation of the data analysis module and the intelligent evaluation module in real time. The database management module specifically includes a data storage module and a data security module; the data storage module is used to store the material type, specifications, inventory, and price information of power materials; the data security module is used to constrain the integrity of the data through authority management and dynamic adjustment of the warehouse, thereby ensuring the security and consistency of the data, and maintaining the integrity of the data through authority management and constraint conditions.

[0063] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. An intelligent evaluation system for power materials based on artificial intelligence, characterized in that: It includes database management module, data collection module, data analysis module, demand forecasting module, authority management module, intelligent evaluation module, historical data analysis module and dynamic adjustment module; The database management module is used to create, manage and operate the information data about electric power materials stored in the database, and supports the storage, retrieval and management of the information data of electric power materials; The data collection module collects the warehousing, delivery, inventory and usage of materials in real time through Internet of Things devices or barcode / RFID technology. The data analysis module is used to cooperate with statistical analysis and machine learning to analyze the use, quality assessment and market trends of materials; The demand forecasting module predicts the future demand for materials based on historical usage data, and combines market changes and project requirements to determine whether the power materials on the supply side of the warehouse are greater than the demand on the market demand side, and adjusts the procurement plan and inventory strategy of power materials in real time; The historical data analysis module uses time series regression analysis to predict future material demand based on historical usage data; The intelligent evaluation module evaluates the status of the inventory supply side and the market demand side of the electronic materials based on the feedback from the historical data analysis module, the data collection module and the demand prediction module.

2. The power material intelligent evaluation system based on artificial intelligence according to claim 1 is characterized by: The intelligent evaluation module determines whether the intelligent evaluation module needs to be adjusted based on the similarity with historical data, the real-time market price and the consumption rate of the inventory of power materials. The evaluation includes: Among them, G represents the evaluation coefficient, v represents the consumption rate of the stock power materials, c represents the similarity between the real-time market price and the power material consumption rate and the historical record data, a represents the real-time market price of power materials, and b represents the price of electronic materials marked in the inventory; and there are: In the formula, m represents the current inventory, m0 represents the inventory in the previous adjustment cycle, and T represents the average cycle of inventory adjustment.

3. The power material intelligent evaluation system based on artificial intelligence according to claim 2 is characterized by: Based on the real-time market price, the consumption rate of the power materials in stock, and the average cycle of the adjustment of the power materials inventory, the similarity with the historical data is determined as follows: Where c represents the similarity between the real-time market price and the consumption rate of electric power materials and the historical record data, a represents the real-time market price of electric power materials, a1 represents the market price collected once and stored in the data storage module, v represents the consumption rate of electric power materials in stock, v1 represents the consumption rate of electric power materials collected once and stored in the data storage module, and T represents the average cycle of inventory adjustment.

4. The power material intelligent evaluation system based on artificial intelligence according to claim 3 is characterized by: When G ≥ 65%, it means that the evaluation of the intelligent evaluation module needs to be adjusted; When G < 65%, it means that the evaluation of the intelligent evaluation module does not need to be adjusted.

5. The artificial intelligence-based intelligent evaluation system for electric power materials according to claim 4 is characterized in that: The authority management module is used to release authority contraction or expansion information to the dynamic adjustment module based on the information feedback from the demand forecast module as to whether the supply-side power materials are greater than the market demand-side demand.

6. The power material intelligent evaluation system based on artificial intelligence according to claim 5 is characterized by: In the dynamic adjustment module: When the authority management module outputs feedback information of authority reduction, and the intelligent evaluation module evaluates that adjustment is needed, the dynamic adjustment module performs power material reduction adjustment; When the authority management module outputs feedback information about authority expansion, and the intelligent evaluation module evaluates that adjustment is needed, the dynamic adjustment module performs expansion adjustment of power materials; When the authority management module outputs feedback information on authority expansion or reduction, and the intelligent evaluation module evaluates that no adjustment is needed, the dynamic adjustment module does not need to make adjustments to the expansion or reduction of materials.

7. The power material intelligent evaluation system based on artificial intelligence according to claim 1 is characterized by: The data acquisition module accesses external data such as market prices, supplier information and industry dynamics to update the timeliness of analysis and evaluation by the data analysis module and the intelligent evaluation module in real time.

8. The power material intelligent evaluation system based on artificial intelligence according to claim 1 is characterized by: The database management module specifically includes a data storage module and a data security module; The data storage module is used to store the material type, specification, inventory and price information of the power materials; The data security module is used to constrain the integrity of data through authority management and dynamic adjustment of the warehouse.

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