Electric power material price prediction method and system

Abstract

The invention discloses an electric power material price prediction method and system, and relates to the technical field of electric power material price prediction, and the method comprises the steps: obtaining the historical data of electric power materials based on an electric power material database; performing analysis processing according to the historical data of the electric power materials, and obtaining past-year price data of the electric power materials; and performing calculation processing according to the over-the-year price data of the electric power materials to obtain over-the-year price variation of the electric power materials. According to the method, the historical data of the electric power materials are calculated and analyzed to obtain the over-the-year price variation of the electric power materials, then the over-the-year price variation of the electric power materials is analyzed to determine the interference data of the electric power material prices, and the over-the-year price data of the electric power materials are analyzed through the interference data of the electric power material prices. And finally, the electric power material price is predicted according to the electric power material price change proportion, so that the cost is prevented from being increased and reduced due to the fact that the price is too high when the electric power materials are purchased.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power material price forecasting, and in particular to an electric power material price forecasting method and system. Background Art

[0002] Power supplies include all equipment and materials used in the construction and maintenance of power systems, such as cables, meters, switches, transformers, etc.

[0003] The existing prices of electric power materials change with market fluctuations and are uncertain. When electric power equipment is damaged, it needs to be replenished, but the price of electric power equipment will change. Therefore, when purchasing electric power equipment, price forecasts are needed to avoid excessive costs. Summary of the invention

[0004] In order to solve the above technical problems, a method and system for predicting the price of electric power materials are provided. This technical solution solves the problem proposed in the above background technology that the existing electric power material prices change with market fluctuations and are uncertain. When the electric power equipment is damaged, the electric power equipment needs to be replenished, but the price of the electric power equipment will change.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is: A method for predicting electric power material prices, comprising: Based on the power material database, obtain the historical data of power materials; Analyze and process the historical data of power materials to obtain the price data of power materials over the years; Calculate and process the price data of power materials over the years to obtain the price changes of power materials over the years; Analyze and process the price changes of power materials over the years to obtain interference data of power material prices, wherein the interference data of power material prices include price change information of power material raw materials, market supply and demand change information, and policy support information of power materials; Based on the interference data of power material prices, the price data of power materials over the years are analyzed and processed to obtain the price change ratio of power materials; Based on the power material database, obtain real-time data information of power materials; Based on the interference data of power material prices, the real-time data information of power materials is matched and processed to obtain the real-time change ratio of power material prices; The existing electricity material prices are predicted and processed according to the real-time change ratio of electricity material prices to determine the real-time electricity material prices.

[0006] Preferably, the analyzing and processing based on the historical data of electric power materials to obtain the price data of electric power materials over the years specifically comprises the following steps: Performing data preprocessing based on historical data of electric power materials to obtain and integrate historical data of electric power materials, wherein the data preprocessing includes data cleaning and data integration; Classify and process the historical data of integrated power materials according to different years to obtain the data collection of power materials in different years; According to the prices of electric power materials corresponding to different years, feature extraction processing is performed on the data collection of electric power materials in different years to obtain the price data of electric power materials over the years.

[0007] Preferably, the step of calculating and processing the price data of electric power materials over the years to obtain the price changes of electric power materials over the years specifically includes the following steps: Establish a rectangular coordinate system based on year and price, set the year as the parameter to the X-axis, and set the price as the parameter to the Y-axis; Draw a curve based on the price data of power materials over the years to obtain the price change curve of power materials; Adjacent years are selected to calculate the price change curve of power materials and obtain the price changes of power materials over the years.

[0008] Preferably, the step of analyzing and processing the price changes of electric power materials over the years to obtain interference data of electric power material prices specifically includes the following steps: Perform search and processing based on the price changes of power materials over the years to obtain the zero point of the price changes of power materials over the years; Eliminate the data of the price changes of electric power materials over the years based on the zero point of the price changes of electric power materials over the years to obtain the price changes of differential electric power materials over the years; Based on the years corresponding to the price changes of different power materials over the years, information retrieval and processing is performed on the power material database to obtain information on price changes of power material raw materials, market supply and demand changes, and policy support information for power materials.

[0009] Preferably, the analyzing and processing of the price data of electric power materials over the years based on the interference data of the price of electric power materials to obtain the price change ratio of electric power materials specifically comprises the following steps: Analyze and process the price data of power materials over the years based on the price change information of power materials raw materials, market supply and demand change information, and policy support information of power materials to obtain the starting price of power materials; According to the starting price of power materials, the price data of power materials over the years are eliminated to determine the changing price of power materials, namely:

[0010] In the formula, The price data of power materials over the years; is the starting price of power materials; For the changing prices of electricity materials; Based on the price change information of raw materials of electric power materials, the market supply and demand change information, and the policy support information of electric power materials, the change price of electric power materials is analyzed through the starting price of electric power materials to obtain the price change ratio of electric power materials, wherein the price change ratio of electric power materials includes the price change ratio corresponding to the price change information of raw materials of electric power materials, the price change ratio corresponding to the market supply and demand change information, the price change ratio corresponding to the policy support information of electric power materials, and the price change ratio corresponding to any two combinations of the price change information of raw materials of electric power materials, the market supply and demand change information, and the policy support information of electric power materials, and the price change ratio corresponding to the price change information of raw materials of electric power materials, the market supply and demand change information, and the policy support information of electric power materials.

[0011] Preferably, the analyzing and processing of historical price data of power materials based on price change information of power material raw materials, market supply and demand change information, and policy support information of power materials to obtain the starting price of power materials specifically includes the following steps: According to the price change information of power materials and raw materials, the price data of power materials over the years are eliminated for the first time to determine the longest period of time when the price of power materials and raw materials remains unchanged; Based on the information on changes in market supply and demand, the longest period of time during which the price of raw materials for power materials remains unchanged is eliminated for the second time to determine the longest period of time during which the market supply and demand remains unchanged; According to the policy support information for power materials, the longest continuous period of no change in market supply and demand is eliminated for the third time to determine the year corresponding to no policy support information for power materials; Based on the years corresponding to the no-power material policy support information, the price data of power materials over the years are retrieved and processed to obtain the starting price of power materials.

[0012] Preferably, the specific calculation formula for determining the year corresponding to the policy support information for non-electric materials is:

[0013] In the formula, The year corresponding to the historical price data of electric power materials; There is no change in the price of raw materials for power supplies; The longest period of time during which the price of raw materials for power supplies remains unchanged; There is no change in market supply and demand; The longest period of time without changes in market supply and demand; Provide policy support information for materials without electricity; This is the year for which there is no policy support information for power materials.

[0014] Preferably, the matching processing of the real-time data information of electric power materials based on the interference data of electric power material prices to obtain the real-time change ratio of electric power material prices specifically includes the following steps: Based on the price change information of raw materials of electric power materials, the market supply and demand change information, and the policy support information of electric power materials, the real-time data information of electric power materials is matched for the first time to obtain the real-time interference data of electric power materials, wherein the real-time interference data of electric power materials is any one, any two, or any three of the price change information of raw materials of electric power materials, the market supply and demand change information, and the policy support information of electric power materials; Based on the real-time interference data of electric power materials, a second matching process is performed on the price change ratio of electric power materials to obtain the real-time price change ratio of electric power materials.

[0015] Preferably, the predicting process of the existing power material prices according to the real-time change ratio of the power material prices to determine the real-time power material prices specifically includes the following steps: If the real-time price change ratio of electric power materials is any one of the price change ratio corresponding to the price change information of electric power materials raw materials, the price change ratio corresponding to the market supply and demand change information, and the price change ratio corresponding to the policy support information of electric power materials; Based on the real-time change ratio of power material prices, the starting price of power materials is predicted and calculated to determine the real-time power material prices; If the real-time change ratio of the price of electric power materials is the price change ratio corresponding to any two combinations of the price change information of the raw materials of electric power materials, the market supply and demand change information, and the policy support information of electric power materials; Based on the real-time change ratio of power material prices, the starting price of power materials is predicted and calculated to determine the real-time power material prices; If the real-time price change ratio of power materials is the price change ratio corresponding to the price change information of power materials raw materials, the market supply and demand change information, and the policy support information of power materials; Based on the real-time change ratio of power material prices, the starting price of power materials is predicted and calculated to determine the real-time power material price.

[0016] Furthermore, a power material price forecasting system is proposed, which is used to implement the power material price forecasting method as described above, comprising: An electric power material database, the electric power material database is used to store historical data of electric power materials; A data preprocessing module, which is used to clean and integrate the historical data of electric power materials, and obtain and integrate the historical data of electric power materials; A coordinate system building module, wherein the coordinate system building module establishes a rectangular coordinate system according to the year and price, and draws a price change curve of electric power materials; A data calculation module, wherein the data calculation module calculates the price change curve of electric power materials according to adjacent years to obtain the price change of electric power materials over the years; A data analysis module, wherein the data analysis module analyzes the price changes of power materials over the years according to the price change information of power material raw materials, the market supply and demand change information, and the policy support information of power materials, and determines the price change ratio of power materials. The data analysis module matches the real-time data information of power materials according to the interference data of power material prices, and obtains the real-time price change ratio of power materials; A price prediction module, wherein the price prediction module predicts and calculates the starting price of the electric power material according to the real-time change ratio of the electric power material price, and determines the real-time electric power material price; The control module is used to realize data transmission and information interaction between modules.

[0017] Compared with the prior art, the present invention provides a method and system for predicting the price of electric power materials, which has the following beneficial effects: The present invention calculates and analyzes the historical data of electric power materials to obtain the price changes of electric power materials over the years, and then determines the interference data of the electric power material prices by analyzing the price changes of electric power materials over the years. The price data of electric power materials over the years are analyzed by the interference data of the electric power material prices to obtain the price change ratio of electric power materials. Finally, the price of electric power materials is predicted according to the price change ratio of electric power materials, so as to avoid excessively high prices when purchasing electric power materials, thereby increasing costs and reducing costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a flow chart of steps S100-S800 in a method for predicting electric power material prices proposed by the present invention; Figure 2 This is a flow chart of steps S201-S203 in a method for predicting electric power material prices proposed by the present invention; Figure 3 This is a flow chart of steps S301-S303 in a method for predicting power material prices proposed by the present invention; Figure 4 This is a flow chart of steps S401-S403 in a method for predicting electric power material prices proposed by the present invention; Figure 5This is a flow chart of steps S501-S503 in a method for predicting power material prices proposed by the present invention; Figure 6 This is a flow chart of steps S5011-S5014 in a method for predicting power material prices proposed by the present invention; Figure 7 This is a flow chart of steps S701-S702 in a method for predicting power material prices proposed by the present invention; Figure 8 This is a flow chart of steps S801-S806 in a method for predicting electric power material prices proposed by the present invention; Fig. 9 This is a structural block diagram of an electric power material price forecasting system proposed by the present invention. DETAILED DESCRIPTION

[0019] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0020] Reference Figure 1 As shown, a method for predicting power material prices includes: S100, based on the electric power material database, obtaining historical data of electric power materials; S200, analyzing and processing the historical data of electric power materials to obtain the price data of electric power materials over the years; S300, performing calculations and processing based on the price data of electric power materials over the years to obtain the price changes of electric power materials over the years; S400, analyzing and processing the price changes of power materials over the years to obtain interference data of power material prices, wherein the interference data of power material prices include price change information of raw materials of power materials, market supply and demand change information, and policy support information of power materials; S500, analyzing and processing the price data of electric power materials over the years based on the interference data of electric power material prices, and obtaining the price change ratio of electric power materials; S600, based on the electric power material database, obtaining real-time data information of electric power materials; S700, matching and processing the real-time data information of the electric power materials based on the interference data of the electric power material prices, and obtaining the real-time change ratio of the electric power material prices; S800, predicting and processing the existing power material prices according to the real-time change ratio of the power material prices, and determining the real-time power material prices; It can be understood by those skilled in the art that when predicting the price of electric power materials, reference data needs to be selected. Therefore, the historical data of electric power materials are analyzed to determine the price data of electric power materials over the years. The price data of electric power materials over the years are calculated to determine the price change of electric power materials in adjacent years, because the prices of electric power materials in adjacent years have a stronger correlation. In addition, the price of electric power materials has an important relationship with the price change information of raw materials of electric power materials, the market supply and demand change information, and the policy support information of electric power materials. Therefore, the price data of electric power materials over the years are analyzed in combination with the price change information of raw materials of electric power materials, the market supply and demand change information, and the policy support information of electric power materials to determine the price change ratio of electric power materials. Finally, the real-time data information of electric power materials in the existing market is analyzed through the interference data of the price of electric power materials to determine the real-time change ratio of the price of electric power materials. The price of electric power materials is predicted according to the real-time change ratio of the price of electric power materials. When purchasing electric power materials, there is a psychological price, which avoids the situation of excessively high prices when purchasing electric power materials and reduces costs.

[0021] Reference Figure 2 As shown, the steps of analyzing and processing the historical data of electric power materials and obtaining the price data of electric power materials over the years are as follows: S201, performing data preprocessing based on historical data of electric power materials to obtain and integrate historical data of electric power materials, wherein the data preprocessing includes data cleaning and data integration; S202, classifying and processing the historical data of integrated power materials according to different years, and obtaining a data collection of power materials in different years; S203, performing feature extraction processing on the data collection of power materials in different years according to the prices of power materials corresponding to different years, and obtaining the price data of power materials over the years; In this embodiment, the prices of electric power materials in different years may be different. Therefore, the historical data of electric power materials are classified by year, and the electric power material data of each year is analyzed to obtain the prices of electric power materials in different years, so that subsequent analysis is more convenient and faster, and the subsequent calculation amount is reduced.

[0022] Reference Figure 3 As shown, the steps of calculating and processing the price data of electric power materials over the years to obtain the price changes of electric power materials over the years specifically include the following steps: S301, establish a rectangular coordinate system according to the year and the price, set the year as a parameter to the X axis, and set the price as a parameter to the Y axis; S302, plotting a curve based on the price data of electric power materials over the years to obtain a price change curve of electric power materials; S303, selecting adjacent years to calculate the price change curve of electric power materials, and obtaining the price change of electric power materials over the years.

[0023] Reference Figure 4 As shown, according to the price changes of power materials over the years, the analysis and processing to obtain the interference data of power material prices specifically includes the following steps: S401, performing a search process based on the price changes of electric power materials over the years to obtain the zero point of the price changes of electric power materials over the years; S402, based on the historical price change amount of the electric power materials at the zero point, the historical price change amount of the electric power materials is eliminated to obtain the historical price change amount of the difference electric power materials; S403, performing information retrieval processing on the power material database based on the year corresponding to the price change amount of the differential power materials over the years, and obtaining information on price changes of power material raw materials, market supply and demand changes, and policy support information for power materials; Those skilled in the art can understand that the price of raw materials for electric power materials, market supply and demand, and policy support for electric power materials may not change in some years, thereby keeping the price of electric power materials unchanged. However, in order to reduce the amount of calculation, the years in which no change in the price of electric power materials occurs are eliminated and one is retained. It should be noted that the data for consecutive years are deleted here. When the price of electric power materials is not the same in consecutive years, it is not eliminated. Because the price of raw materials for electric power materials, market supply and demand, and policy support for electric power materials change to a certain extent, the price of electric power materials may not be the same in consecutive years. It is necessary to make the subsequent prediction of the price of electric power materials more accurate. By analyzing the changes in the price of raw materials for electric power materials, market supply and demand, and policy support for electric power materials, the proportion of change in the price of electric power materials is determined. Therefore, the data needs to be retained.

[0024] Reference Figure 5 As shown, the price data of power materials over the years are analyzed and processed based on the interference data of power material prices, and the price change ratio of power materials is obtained, which specifically includes the following steps: S501, analyzing and processing the price data of power materials over the years based on the price change information of power material raw materials, the market supply and demand change information, and the policy support information of power materials, to obtain the starting price of power materials; S502. Eliminate the price data of power materials over the years according to the starting price of power materials, and determine the change price of power materials, that is:

[0025] In the formula, The price data of power materials over the years; is the starting price of power materials; For the changing prices of electricity materials; S503. Based on the information on price changes of raw materials for electric power materials, the information on changes in market supply and demand, and the information on policy support for electric power materials, the price changes of electric power materials are analyzed through the starting prices of electric power materials to obtain the price change ratio of electric power materials, wherein the price change ratio of electric power materials includes the price change ratio corresponding to the information on price changes of raw materials for electric power materials, the price change ratio corresponding to the information on changes in market supply and demand, the price change ratio corresponding to the information on policy support for electric power materials, the price change ratio corresponding to any two combinations of the information on price changes of raw materials for electric power materials, the information on changes in market supply and demand, and the information on policy support for electric power materials, and the price change ratio corresponding to the information on price changes of raw materials for electric power materials, the information on changes in market supply and demand, and the information on policy support for electric power materials.

[0026] Reference Figure 6 As shown, based on the price change information of raw materials of electric power materials, the market supply and demand change information, and the policy support information of electric power materials, the price data of electric power materials over the years are analyzed and processed to obtain the starting price of electric power materials, which specifically includes the following steps: S5011. Perform the first elimination of the price data of power materials over the years based on the price change information of power materials and raw materials, and determine the longest continuous period of no change in the price of power materials and raw materials; S5012. Perform a second elimination process on the longest continuous period of no change in the price of raw materials for power materials based on the market supply and demand change information to determine the longest continuous period of no change in market supply and demand; S5013. Based on the policy support information for electric power materials, the longest continuous period of no change in market supply and demand is eliminated for the third time to determine the year corresponding to the absence of policy support information for electric power materials; S5014. Retrieve and process the price data of electric power materials over the years based on the years corresponding to the policy support information for electric power materials, and obtain the starting price of the electric power materials; Among them, the specific calculation formula for determining the year corresponding to the policy support information for non-electric materials is:

[0027] In the formula, The year corresponding to the historical price data of electric power materials; There is no change in the price of raw materials for power supplies; The longest period of time during which the price of raw materials for power supplies remains unchanged; There is no change in market supply and demand; The longest period of time without changes in market supply and demand; Provide policy support information for materials without electricity; The year corresponding to the policy support information for no power materials; Those skilled in the art can understand that in order to predict the price of electric power materials, it is necessary to determine a starting price of electric power materials, select from the years with the longest continuous period of no change in the price of electric power materials raw materials, the corresponding years with no policy support information for electric power materials, and the longest continuous period of no change in market supply and demand, select a starting price of electric power materials, and then predict the starting price of electric power materials based on the real-time change ratio of electric power material prices determined by subsequent interference data of electric power material prices, so as to make the prediction result more accurate, because changes in the price of electric power materials raw materials, changes in market supply and demand, and changes in policy support information for electric power materials will cause corresponding proportional changes in the price of electric power materials. Therefore, the above three parameters are reset to zero, and the starting price of electric power materials is selected. In the subsequent price prediction, it is only necessary to determine the change ratio of electric power material prices based on changes in the interference data of electric power material prices, so that the subsequent electricity price prediction is more convenient and quick.

[0028] Reference Figure 7 As shown, matching and processing the real-time data information of electric power materials based on the interference data of electric power material prices to obtain the real-time change ratio of electric power material prices specifically includes the following steps: S701, based on the price change information of raw materials of electric power materials, the market supply and demand change information, and the policy support information of electric power materials, respectively, the real-time data information of electric power materials is matched for the first time to obtain the real-time interference data of electric power materials, wherein the real-time interference data of electric power materials is any one, any two, or any three of the price change information of raw materials of electric power materials, the market supply and demand change information, and the policy support information of electric power materials; S702, performing a second matching process on the price change ratio of electric power materials based on the real-time interference data of electric power materials to obtain the real-time price change ratio of electric power materials; In this embodiment, the price change information of raw materials for electric power materials, the market supply and demand change information, and the policy support information for electric power materials may change at the same time, or only one parameter may change. Therefore, the real-time data information of electric power materials is matched with the price change information of raw materials for electric power materials, the market supply and demand change information, and the policy support information for electric power materials to determine the parameters that have changed in the existing market, and the real-time change ratio of the electric power material price is determined based on the changed parameters. The price of electric power materials is predicted based on the real-time change ratio of the electric power material price, making the prediction of the price of electric power materials more accurate.

[0029] Reference Figure 8 As shown, the current power material prices are predicted and processed according to the real-time change ratio of the power material prices, and the real-time power material prices are determined, which specifically includes the following steps: S801. If the real-time change ratio of the price of electric power materials is any one of the price change ratio corresponding to the price change information of the raw materials of electric power materials, the price change ratio corresponding to the market supply and demand change information, and the price change ratio corresponding to the policy support information of electric power materials; S802, predicting and calculating the starting price of electric power materials based on the real-time change ratio of electric power material prices, and determining the real-time electric power material prices; S803. If the real-time change ratio of the price of electric power materials is the price change ratio corresponding to any two combinations of the price change information of the raw materials of electric power materials, the market supply and demand change information, and the policy support information of electric power materials; S804, predicting and calculating the starting price of electric power materials based on the real-time change ratio of electric power material prices, and determining the real-time electric power material prices; S805. If the real-time change ratio of the price of electric power materials is the price change ratio corresponding to the price change information of the raw materials of electric power materials, the market supply and demand change information, and the policy support information of electric power materials; S806: Based on the real-time change ratio of the price of electric power materials, the starting price of the electric power materials is predicted and calculated to determine the real-time price of the electric power materials.

[0030] Reference Fig. 9 As shown, a power material price forecasting system is used to implement the power material price forecasting method as described above, comprising: An electric power material database, the electric power material database is used to store historical data of electric power materials; A data preprocessing module, which is used to clean and integrate the historical data of electric power materials, and obtain and integrate the historical data of electric power materials; A coordinate system building module, wherein the coordinate system building module establishes a rectangular coordinate system according to the year and price, and draws a price change curve of electric power materials; A data calculation module, wherein the data calculation module calculates the price change curve of electric power materials according to adjacent years to obtain the price change of electric power materials over the years; A data analysis module, wherein the data analysis module analyzes the price changes of power materials over the years according to the price change information of power material raw materials, the market supply and demand change information, and the policy support information of power materials, and determines the price change ratio of power materials. The data analysis module matches the real-time data information of power materials according to the interference data of power material prices, and obtains the real-time price change ratio of power materials; A price prediction module, wherein the price prediction module predicts and calculates the starting price of the electric power material according to the real-time change ratio of the electric power material price, and determines the real-time electric power material price; The control module is used to realize data transmission and information interaction between modules.

[0031] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for predicting power material prices, characterized in that: include: Based on the power material database, obtain the historical data of power materials; Analyze and process the historical data of power materials to obtain the price data of power materials over the years; Calculate and process the price data of power materials over the years to obtain the price changes of power materials over the years; Analyze and process the price changes of power materials over the years to obtain interference data of power material prices, wherein the interference data of power material prices include price change information of power material raw materials, market supply and demand change information, and policy support information of power materials; Based on the interference data of power material prices, the price data of power materials over the years are analyzed and processed to obtain the price change ratio of power materials; Based on the power material database, obtain real-time data information of power materials; Based on the interference data of power material prices, the real-time data information of power materials is matched and processed to obtain the real-time change ratio of power material prices; The existing electricity material prices are predicted and processed according to the real-time change ratio of electricity material prices to determine the real-time electricity material prices.

2. A method for predicting electric power material prices according to claim 1, characterized in that: The analysis and processing based on the historical data of electric power materials to obtain the price data of electric power materials over the years specifically includes the following steps: Performing data preprocessing based on historical data of electric power materials to obtain and integrate historical data of electric power materials, wherein the data preprocessing includes data cleaning and data integration; Classify and process the historical data of integrated power materials according to different years to obtain the data collection of power materials in different years; According to the prices of electric power materials corresponding to different years, feature extraction processing is performed on the data collection of electric power materials in different years to obtain the price data of electric power materials over the years.

3. The method for predicting electric power material prices according to claim 1, characterized in that: The step of calculating and processing the price data of electric power materials over the years to obtain the price changes of electric power materials over the years specifically includes the following steps: Establish a rectangular coordinate system based on year and price, set the year as the parameter to the X-axis, and set the price as the parameter to the Y-axis; Draw a curve based on the price data of power materials over the years to obtain the price change curve of power materials; Adjacent years are selected to calculate the price change curve of power materials and obtain the price changes of power materials over the years.

4. The method for predicting electric power material prices according to claim 1, characterized in that: The analysis and processing of price changes of electric power materials over the years to obtain interference data of electric power material prices specifically includes the following steps: Perform search and processing based on the price changes of power materials over the years to obtain the zero point of the price changes of power materials over the years; Eliminate the data of the price changes of electric power materials over the years based on the zero point of the price changes of electric power materials over the years to obtain the price changes of differential electric power materials over the years; Based on the years corresponding to the price changes of different power materials over the years, information retrieval and processing is performed on the power material database to obtain information on price changes of power material raw materials, market supply and demand changes, and policy support information for power materials.

5. The method for predicting electric power material prices according to claim 1, characterized in that: The above-mentioned steps of analyzing and processing the price data of electric power materials over the years based on the interference data of electric power material prices and obtaining the price change ratio of electric power materials specifically include the following steps: Analyze and process the price data of power materials over the years based on the price change information of power materials raw materials, market supply and demand change information, and policy support information of power materials to obtain the starting price of power materials; According to the starting price of power materials, the price data of power materials over the years are eliminated to determine the changing price of power materials, namely: In the formula, The price data of power materials over the years; is the starting price of power materials; For the changing prices of electricity materials; Based on the price change information of raw materials of electric power materials, the market supply and demand change information, and the policy support information of electric power materials, the change price of electric power materials is analyzed through the starting price of electric power materials to obtain the price change ratio of electric power materials, wherein the price change ratio of electric power materials includes the price change ratio corresponding to the price change information of raw materials of electric power materials, the price change ratio corresponding to the market supply and demand change information, the price change ratio corresponding to the policy support information of electric power materials, and the price change ratio corresponding to any two combinations of the price change information of raw materials of electric power materials, the market supply and demand change information, and the policy support information of electric power materials, and the price change ratio corresponding to the price change information of raw materials of electric power materials, the market supply and demand change information, and the policy support information of electric power materials.

6. A method for predicting electric power material prices according to claim 5, characterized in that: The above-mentioned steps of analyzing and processing the price data of power materials over the years based on the price change information of power material raw materials, the market supply and demand change information, and the policy support information of power materials to obtain the starting price of power materials specifically include the following steps: According to the price change information of power materials and raw materials, the price data of power materials over the years are eliminated for the first time to determine the longest period of time when the price of power materials and raw materials remains unchanged; Based on the information on changes in market supply and demand, the longest period of time during which the price of raw materials for power materials remains unchanged is eliminated for the second time to determine the longest period of time during which the market supply and demand remains unchanged; According to the policy support information for power materials, the longest continuous period of no change in market supply and demand is eliminated for the third time to determine the year corresponding to no policy support information for power materials; Based on the years corresponding to the no-power material policy support information, the price data of power materials over the years are retrieved and processed to obtain the starting price of power materials.

7. A method for predicting electric power material prices according to claim 6, characterized in that: The specific calculation formula for determining the year corresponding to the policy support information for non-electric materials is: In the formula, The year corresponding to the historical price data of electric power materials; There is no change in the price of raw materials for power supplies; The longest period of time during which the price of raw materials for power supplies remains unchanged; There is no change in market supply and demand; The longest period of time without changes in market supply and demand; Provide policy support information for materials without electricity; This is the year for which there is no policy support information for power materials.

8. The method for predicting electric power material prices according to claim 1, characterized in that: The matching process of the real-time data information of electric power materials based on the interference data of electric power material prices to obtain the real-time change ratio of electric power material prices specifically includes the following steps: Based on the price change information of raw materials of electric power materials, the market supply and demand change information, and the policy support information of electric power materials, the real-time data information of electric power materials is matched for the first time to obtain the real-time interference data of electric power materials, wherein the real-time interference data of electric power materials is any one, any two, or any three of the price change information of raw materials of electric power materials, the market supply and demand change information, and the policy support information of electric power materials; Based on the real-time interference data of electric power materials, a second matching process is performed on the price change ratio of electric power materials to obtain the real-time price change ratio of electric power materials.

9. The method for predicting electric power material prices according to claim 1, characterized in that: The method of predicting the existing power material prices according to the real-time change ratio of the power material prices and determining the real-time power material prices specifically includes the following steps: If the real-time price change ratio of electric power materials is any one of the price change ratio corresponding to the price change information of electric power materials raw materials, the price change ratio corresponding to the market supply and demand change information, and the price change ratio corresponding to the policy support information of electric power materials; Based on the real-time change ratio of power material prices, the starting price of power materials is predicted and calculated to determine the real-time power material prices; If the real-time change ratio of the price of electric power materials is the price change ratio corresponding to any two combinations of the price change information of the raw materials of electric power materials, the market supply and demand change information, and the policy support information of electric power materials; Based on the real-time change ratio of power material prices, the starting price of power materials is predicted and calculated to determine the real-time power material prices; If the real-time price change ratio of power materials is the price change ratio corresponding to the price change information of power materials raw materials, the market supply and demand change information, and the policy support information of power materials; Based on the real-time change ratio of power material prices, the starting price of power materials is predicted and calculated to determine the real-time power material price.

10. A power material price forecasting system, used to implement a power material price forecasting method as claimed in any one of claims 1 to 9, characterized in that: include: An electric power material database, the electric power material database is used to store historical data of electric power materials; A data preprocessing module, which is used to clean and integrate the historical data of electric power materials, and obtain and integrate the historical data of electric power materials; A coordinate system building module, wherein the coordinate system building module establishes a rectangular coordinate system according to the year and price, and draws a price change curve of electric power materials; A data calculation module, wherein the data calculation module calculates the price change curve of electric power materials according to adjacent years to obtain the price change of electric power materials over the years; A data analysis module, wherein the data analysis module analyzes the price changes of power materials over the years according to the price change information of power material raw materials, the market supply and demand change information, and the policy support information of power materials, and determines the price change ratio of power materials. The data analysis module matches the real-time data information of power materials according to the interference data of power material prices, and obtains the real-time price change ratio of power materials; A price prediction module, wherein the price prediction module predicts and calculates the starting price of the electric power material according to the real-time change ratio of the electric power material price, and determines the real-time electric power material price; The control module is used to realize data transmission and information interaction between modules.

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