Energy supply chain management system based on combination of energy production and sales relationship

Abstract

The invention provides an energy supply chain management system based on energy production and sales relationship combination, which relates to the technical field of energy supply and comprises a production management module, a sales management module, an inventory management module, a logistics management module and a supply data analysis module, and analyzing the archive data of the target energy production unit, and predicting the energy supply capability and the energy supply capability change of the target energy production unit. The obtained data is used for the supply data analysis module to provide basic data support for the energy supply capacity and the energy supply capacity change of the energy production unit, and the actual energy supply change data and the simulated energy supply change data are combined. And the constructed reference curve does not have the probability and unexpected property of emergencies, and also has an energy supply change reference value in a normal development state.

Description

Technical Field

[0001] The present invention relates to the field of energy supply technology, and in particular to an energy supply chain management system based on the combination of energy production and sales. Background Art

[0002] The energy supply chain refers to the entire chain involving energy production, processing, transportation, storage and sales. It is a complex and critical system that not only affects the efficient operation of the energy industry, but also directly affects the country's energy security and the stable development of the economy and society. In the face of current challenges and problems, a series of measures need to be taken to optimize and strengthen the energy supply chain to ensure its stability and resilience.

[0003] The existing energy supply chain is generally designed for demand stability and has no direct guiding value for the actual situation of energy production units. When some emergencies occur, most energy production units are unable to adjust the relationship between production capacity, reserves and sales in a timely manner, resulting in a serious shortage of energy supply in the early stage and a serious overflow of energy supply in the later stage during the duration of the emergency. This often shakes the stability maintained by the energy production units and poses a great hidden danger to the operation of energy production units. It is necessary to propose an energy supply chain management system based on the combination of energy production and sales relationships that has certain direct guiding value for energy supply units. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings existing in the prior art. By combining the actual analysis and simulation analysis of the overall energy supply in the target field, the actual energy supply data of the energy production units are analyzed, the operational bias of the energy production units under emergencies is clearly pointed out, and direct guiding value is provided for the development of the energy production units.

[0005] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solution: an energy supply chain management system based on the combination of energy production and sales, comprising: Production management module: The production management module obtains archive data of energy production units in the target energy field through manual input and Internet search, and then classifies all energy production units according to regions and marks the sales targets of energy production units; Sales management module: the sales management module analyzes the sales target of the energy production unit according to the archives of the energy production unit obtained by the production management module; Inventory management module: the inventory management module processes the energy inventory data uploaded by the energy production unit according to the archives of the energy production unit acquired by the production management module; Logistics management module: the logistics management module processes the supply chain logistics data in the archives of the energy production unit according to the archives of the energy production unit obtained by the production management module; Supply data analysis module: The supply data analysis module obtains the production capacity information, sales information, energy inventory, logistics capacity information and supply chain financial capacity information of all energy production units through the production management module, sales management module, inventory management module and logistics management module, analyzes the energy supply capacity of the energy production units, and predicts the changes in the energy supply capacity of the energy production units.

[0006] As a preferred implementation, the sales management module classifies energy production units according to their sales targets, further classifies energy production units with the same sales target, and divides supply capacity levels according to the sales data of the energy production units.

[0007] As a preferred implementation, the inventory management module first encrypts the energy inventory information uploaded by the energy production unit, and then uses a data analysis model to verify the authenticity of the energy inventory information uploaded by the energy production unit in combination with the energy production unit's production capacity data items. When it is verified that the energy inventory information uploaded by the energy production unit contains false information, the energy production unit is given a credit rating.

[0008] As a preferred implementation, the logistics management module obtains the supply chain logistics information used by the energy production unit, and classifies the supply chain logistics information according to the region, merges the same logistics companies, and obtains the transportation capacity information of the corresponding logistics companies.

[0009] As a preferred implementation, in the supply data analysis module, when analyzing the production capacity data, sales data and energy inventory of the energy production unit, the following steps are specifically included: S1. First, establish coordinate system 1: the X-axis of coordinate system 1 is time, and the time period is divided according to the duration of the emergency, and the unit time is divided in combination with the energy production cycle. A curve chart is established within the unit time point, and the curve chart items include: regional total production capacity, regional total sales volume, and regional total energy storage; the Y-axis of coordinate system 1 is a simulated value, and the curve chart items are recalculated through the allocation coefficient, and the curve chart is expressed on coordinate system 1 according to the calculated value; S2, then generate coordinate system 2 based on historical data simulation: the XY axis content of coordinate system 2 is the same as that of coordinate system 1, except that the X axis of coordinate system 2 is not divided into time periods according to the duration of the emergency; S3, generating a coordinate system 3 according to the data of a single energy production unit: the XY axis content of the coordinate system 3 is the same as the XY axis content of the coordinate system 1, except that the graph items of the coordinate system 3 include: the production capacity of the energy production unit, the sales volume of the energy production unit, and the energy storage volume of the energy production unit; S4, merge coordinate system 1, coordinate system 2 and coordinate system 3 to construct a multidimensional coordinate system: overlap the X-axis of coordinate system 1 and coordinate system 2 to serve as the X-axis of the multidimensional coordinate system; use the Y-axis of coordinate system 1 as the Y-axis of the multidimensional coordinate system; use the Y-axis of coordinate system 2 as the Z-axis of the multidimensional coordinate system; use the Y-axis of coordinate system 3 as the W-axis of the multidimensional coordinate system; S5, displaying the values ​​of coordinate system 1, coordinate system 2 and coordinate system 3 on the multi-dimensional coordinate system: displaying the curve graph of coordinate system 1 on the plane where the XY axis of the multi-dimensional coordinate system is located; displaying the curve graph of coordinate system 2 on the plane where the XZ axis of the multi-dimensional coordinate system is located; displaying the curve graph of coordinate system 3 on the plane where the XW axis of the multi-dimensional coordinate system is located; S6. Construct a reference curve on the plane where the XW axis of the multidimensional coordinate system is located: construct a straight line between the coordinate points where the values ​​of each item of the curve graph on the plane where the XY axis of the multidimensional coordinate system is located and the coordinate points where the values ​​of each item of the curve graph on the plane where the XZ axis of the multidimensional coordinate system is located, mark the intersection of the straight line and the plane where the XW axis of the multidimensional coordinate system is located, and connect the intersections of the straight lines constructed at different unit times with the plane where the XW axis is located to construct a reference curve; S7. Analyze the relative relationship between the reference curve and the production capacity of the energy production unit, the sales volume of the energy production unit, and the energy storage volume change curve of the energy production unit in the XW axis of the multidimensional coordinate system.

[0010] As a preferred implementation, in step S6, since the reference curve is constructed based on the curve chart items of the time period where the emergency event occurs and the curve chart items of the predicted normal time period, the changes in the reference curve and the changes in the curve chart items of the energy production unit can reflect the degree of fit between the energy supply and energy supply capacity changes of the energy production unit, thereby reflecting the energy supply capacity and energy supply capacity changes of the energy production unit during the emergency event time period.

[0011] As a preferred implementation, in step S2, the coordinate system 2 is constructed by analyzing historical data to predict future data changes, eliminating the impact of emergencies on the time-line data, and simulating the data changes in the time period when no emergencies occur. The analysis methods include but are not limited to: time series analysis, machine learning methods and regression analysis.

[0012] Compared with the prior art, the advantages and positive effects of the present invention are: 1. In the present invention, the production management module, sales management module, inventory management module, logistics management module and supply chain finance management module are all for data acquisition. The acquired data are used for the supply data analysis module to provide basic data support for the energy supply capacity and energy supply capacity changes of energy production units. By combining the actual energy supply change data with the simulated energy supply change data, the constructed reference curve does not have the probability and unexpectedness of emergencies, and at the same time has the reference value of energy supply changes under normal development status.

[0013] 2. The present invention analyzes the actual supply data of the energy production unit by designing a reference curve as a comparison index. The reference curve is established based on the overall supply chain data changes during the actual duration of the emergency and the overall supply chain data changes during the simulated corresponding time without an emergency. Therefore, the changes in the reference curve tend to the possible changes in production capacity, energy storage and sales of the energy production unit. The comparison between the reference curve and the corresponding parameter items of the energy production unit can fully reflect the energy supply capacity and energy supply capacity change ability of the energy production unit under an emergency, which has important reference value in the planning of the energy production unit. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 The module schematic diagram of the energy supply chain management system based on the combination of energy production and sales relationship proposed by the present invention; Figure 2 The present invention proposes a schematic diagram of the operation flow of the supply data analysis module of the energy supply chain management system based on the combination of energy production and sales relationship; Figure 3 The present invention proposes a multi-dimensional coordinate system schematic diagram of an energy supply chain management system based on the combination of energy production and sales relationship. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] Embodiment 1: like Figure 1 As shown, the present invention provides a technical solution: an energy supply chain management system based on the combination of energy production and sales, including: Production management module: The production management module is installed in the server. The user inputs the collected archive data of the energy production units into the server through computer peripherals, and then the production management module organizes the input archive data of the energy production units. At the same time, the server also retrieves the archive data published by the energy production units from the Internet, and the production management module organizes them. During the operation, the production management module first obtains the archive data of the energy production units in the target energy field. The archive data items include but are not limited to: production capacity data, sales data and energy inventory, and then classifies all energy production units according to the region, and marks the sales targets of the energy production units; Among them, the archive data of energy production units can be recorded as data units, and all data units are collected as a database in the target energy field. Therefore, the data items of the database include but are not limited to: overall production capacity data, overall sales data and overall energy inventory data. By comparing the data of energy production units with the database, the energy supply capacity of energy production units and the overall market of the target energy field can be obtained; Sales management module: The sales management module is installed in the server. The sales management module analyzes the sales targets of the energy production units based on the archives of the energy production units obtained by the production management module, classifies the energy production units, further classifies the energy production units with the same sales targets, and classifies the supply capacity levels based on the sales data of the energy production units. The supply capacity levels are not based on the supply volume, but are only ranked and classified according to the sales capacity of the energy production units; Among them, the sales management module involves the sale of energy production units and the purchase of downstream users. The transaction volume, transaction frequency and other data can provide data support for predicting the changes of various data within a period of time; Inventory management module: The inventory management module processes the energy inventory data uploaded by the energy production unit according to the archive data of the energy production unit obtained by the production management module. The inventory management module first encrypts the energy inventory information uploaded by the energy production unit to avoid the situation where the energy production unit uploads false information due to peer competition. Then, the data analysis model is used to verify the authenticity of the energy inventory information uploaded by the energy production unit in combination with the production capacity data items of the energy production unit. When it is verified that the energy inventory information uploaded by the energy production unit contains false information, the energy production unit is given a credit rating; Among them, the storage data of energy production units can be regarded as commercial secrets, which involve the development plan of energy production units. Therefore, the confidentiality of the storage data of energy production units is guaranteed by encryption means. The confidentiality means include but are not limited to: encrypting the data uploaded by energy production units, forcing operators to sign confidentiality agreements, etc.; Furthermore, the data analysis model is constructed based on the time series method. By analyzing the changes in production capacity, sales volume and storage volume of energy production units over their existence, the authenticity of the energy storage volume submitted by the energy production units is analyzed. The judgment result is a range result and has only reference value, so as to avoid the energy production units from falsely reporting a large amount of false data and causing an increase in the error of the forecast. Logistics management module: The logistics management module processes the supply chain logistics data in the archives of the energy production unit based on the archives of the energy production unit obtained by the production management module. The logistics management module obtains the supply chain logistics information used by the energy production unit, and classifies the supply chain logistics information according to the region, and merges the same logistics companies to obtain the transportation capacity information of the corresponding logistics companies; Among them, logistics involves the speed of energy sales. Analyzing the logistics situation in the target energy field and target area can provide data support for predicting the changes in various data over a period of time. Supply data analysis module: The supply data analysis module obtains the production capacity data, sales data, energy inventory, logistics capacity data and supply chain financial capacity data of all energy production units, analyzes the energy supply capacity of energy production units, and predicts changes in the energy supply capacity of energy production units.

[0017] In this embodiment, the production management module, sales management module, inventory management module, logistics management module and supply chain financial management module are all constructed based on the data acquisition function, and the acquired data is used to provide basic data support for the energy supply capacity and energy supply capacity changes of the energy production unit by the supply data analysis module; In addition, a supply chain financial management module can be added to verify the data of energy production units: the supply chain financial management module counts the financial circulation data of the supply chain within the production cycle of the energy production unit, and uses the economic rules of linking finance and energy to analyze the authenticity and accuracy of the data of the energy production unit; In addition, the production management module is connected to the Internet and computer peripherals, and obtains archival information of energy production units through the Internet and computer peripherals, while the sales management module, inventory management module and logistics management module are constructed in the server, and the corresponding data items in the data obtained by the production management module are extracted to obtain the corresponding data items. The basic construction methods of the sales management module, inventory management module and logistics management module include but are not limited to: data filtering methods based on attribute values, data filtering methods based on attribute types, rule-based screening methods, etc.

[0018] Embodiment 2: like Figure 1As shown, through the supply data analysis module, the archive data, capacity data, sales data, energy inventory, logistics capacity data and supply chain financial capacity data of the energy production unit obtained by the production management module, sales management module, inventory management module and logistics management module are analyzed to predict the energy supply capacity and energy supply capacity changes of the target energy production unit; like Figure 2 As shown in the figure, the supply data analysis module organizes the archive data, capacity data, sales data, energy inventory, logistics capacity data and supply chain financial capacity data of energy production units and establishes Figure 3 As shown in the curve chart, in the supply data analysis module, when analyzing the production capacity data, sales data and energy inventory of the energy production unit, the following steps are specifically included: S1. First, establish coordinate system 1: the X-axis of coordinate system 1 is time, and the time period is divided according to the duration of the emergency, and the unit time is divided in combination with the energy production cycle. A curve chart is established within the unit time point, and the curve chart items include: regional total production capacity, regional total sales volume, and regional total energy storage; the Y-axis of coordinate system 1 is a simulated value, and the curve chart items are recalculated through the allocation coefficient, and the curve chart is expressed on coordinate system 1 according to the calculated value; Among them, according to the time point of publishing relevant data in the production cycle, all projects are grouped on the same curve chart, and the specific data of each project is marked on the curve chart to ensure the accuracy of the correspondence between time and project values ​​in the coordinate system; S2, then generate coordinate system 2 based on historical data simulation: the XY axis content of coordinate system 2 is the same as that of coordinate system 1, except that the X axis of coordinate system 2 is not divided into time periods according to the duration of the emergency; Wherein, the coordinate system 2 is constructed by analyzing historical data to predict future data changes, eliminating the impact of emergencies on the time-line data, and simulating the data changes in the time period when no emergencies occur. The analysis methods include but are not limited to: time series analysis, machine learning methods and regression analysis methods; S3, generating a coordinate system 3 according to the data of a single energy production unit: the XY axis content of the coordinate system 3 is the same as the XY axis content of the coordinate system 1, except that the graph items of the coordinate system 3 include: the production capacity of the energy production unit, the sales volume of the energy production unit, and the energy storage volume of the energy production unit; Among them, coordinate system 3 is used to reflect the temporal changes of the archive data of the energy production unit as the data unit. When the data in coordinate system 3 is directly compared with the data in coordinate system 1 and the data in coordinate system 3 is directly compared with the data in coordinate system 2, it can respectively reflect whether the decision of the energy production unit tends to respond in time when the emergency occurs. And as the emergency continues, the continuous change curve of coordinate system 3 can reflect whether the energy production unit is capable of responding when the emergency continues. S4, merge coordinate system 1, coordinate system 2 and coordinate system 3 to construct a multidimensional coordinate system: overlap the X-axis of coordinate system 1 and coordinate system 2 to serve as the X-axis of the multidimensional coordinate system; use the Y-axis of coordinate system 1 as the Y-axis of the multidimensional coordinate system; use the Y-axis of coordinate system 2 as the Z-axis of the multidimensional coordinate system; use the Y-axis of coordinate system 3 as the W-axis of the multidimensional coordinate system; Among them, since coordinate system 1, coordinate system 2 and coordinate system 3 are in the same time period, the X axes of the three can be directly merged, and since the Y axes of the three are all simulated values ​​recalculated after adding coefficients, the Y axis division units and lengths of the three are also the same, that is, the values ​​and lengths of the Y axis, Z axis and W axis of the multidimensional coordinate system are the same; S5, displaying the values ​​of coordinate system 1, coordinate system 2 and coordinate system 3 on the multi-dimensional coordinate system: displaying the curve graph of coordinate system 1 on the plane where the XY axis of the multi-dimensional coordinate system is located; displaying the curve graph of coordinate system 2 on the plane where the XZ axis of the multi-dimensional coordinate system is located; displaying the curve graph of coordinate system 3 on the plane where the XW axis of the multi-dimensional coordinate system is located; Among them, the multidimensional coordinate system has the overall data trend when the emergency occurs, the overall data trend when there is no emergency during the duration of the simulated emergency, and the archive data trend of the energy production unit during the duration of the emergency; S6. Construct a reference curve on the plane where the XW axis of the multidimensional coordinate system is located: construct a straight line between the coordinate points where the values ​​of each item of the curve graph on the plane where the XY axis of the multidimensional coordinate system is located and the coordinate points where the values ​​of each item of the curve graph on the plane where the XZ axis of the multidimensional coordinate system is located, mark the intersection of the straight line and the plane where the XW axis of the multidimensional coordinate system is located, and connect the intersections of the straight lines constructed at different unit times with the plane where the XW axis is located to construct a reference curve; Among them, since the reference curve is constructed based on the curve chart items of the time period of the emergency event and the curve chart items of the predicted normal time period, the changes in the reference curve and the changes in the curve chart items of the energy production unit can reflect the degree of fit between the energy supply and energy supply capacity changes of the energy production unit, thereby reflecting the energy supply capacity and energy supply capacity changes of the energy production unit during the emergency event time period; S7, analyzing the relative relationship between the reference curve and the production capacity of the energy production unit, the sales volume of the energy production unit, and the energy storage volume change curve of the energy production unit in the XW axis of the multidimensional coordinate system; Among them, the changing curvature of the reference curve is first analyzed, and then the changing curvatures of the energy production unit's production capacity, sales volume and energy storage curves are analyzed respectively; then the changing curvatures of the energy production unit's production capacity curve, sales volume curve and energy storage curve are compared with the changing curvature of the reference curve respectively, and the fit of the curves is analyzed. The response capability of the energy production unit during the emergency period is judged by analyzing the fit.

[0019] In this embodiment, the reference curve is established based on the overall supply chain data changes during the actual duration of the emergency and the overall supply chain data changes during the simulated corresponding time without the emergency, so the changes in the reference curve tend to the changes in production capacity, energy storage and sales that the energy production unit may tend to. The comparison between the reference curve and the corresponding parameter items of the energy production unit can fully reflect the energy supply capacity and energy supply capacity change capacity of the energy production unit under the emergency, which has important reference value in the planning of the energy production unit; Furthermore, the present invention obtains the production capacity, sales and storage data of the energy production units corresponding to the target energy field, provides a data basis for the simulation of energy supply changes under different circumstances, and combines logistics information to increase the accuracy of the simulated energy supply changes, combines the actual energy supply changes with the simulated energy supply changes, and judges the energy supply change trend of the energy production unit under actual conditions, fully reflecting the energy supply capacity and energy supply capacity change ability of the energy production unit under emergencies. The energy production unit can use the judgment result to adjust the corresponding supply chain management method.

[0020] The above description is only a preferred embodiment of the present invention and does not limit the present invention in other forms. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes and apply it to other fields. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. An energy supply chain management system based on the combination of energy production and sales, characterized by: include: Production management module: The production management module obtains archive data of energy production units in the target energy field through manual input and Internet search, and then classifies all energy production units according to regions and marks the sales targets of energy production units; Sales management module: the sales management module analyzes the sales target of the energy production unit according to the archives of the energy production unit obtained by the production management module; Inventory management module: the inventory management module processes the energy inventory data uploaded by the energy production unit according to the archives of the energy production unit acquired by the production management module; Logistics management module: the logistics management module processes the supply chain logistics data in the archives of the energy production unit according to the archives of the energy production unit obtained by the production management module; Supply data analysis module: The supply data analysis module analyzes the production capacity data, sales data and energy inventory of energy production units through the production management module, sales management module, inventory management module and logistics management module, and specifically includes the following steps: S1. First, establish coordinate system 1: the X-axis of coordinate system 1 is time, and the time period is divided according to the duration of the emergency, and the unit time is divided in combination with the energy production cycle. A curve chart is established within the unit time point, and the curve chart items include: regional total production capacity, regional total sales volume, and regional total energy storage; the Y-axis of coordinate system 1 is a simulated value, and the curve chart items are recalculated through the allocation coefficient, and the curve chart is expressed on coordinate system 1 according to the calculated value; S2, then generate coordinate system 2 based on historical data simulation: the XY axis content of coordinate system 2 is the same as that of coordinate system 1, except that the X axis of coordinate system 2 is not divided into time periods according to the duration of the emergency; S3, generating a coordinate system 3 according to the data of a single energy production unit: the XY axis content of the coordinate system 3 is the same as the XY axis content of the coordinate system 1, except that the graph items of the coordinate system 3 include: the production capacity of the energy production unit, the sales volume of the energy production unit, and the energy storage volume of the energy production unit; S4, merge coordinate system 1, coordinate system 2 and coordinate system 3 to construct a multidimensional coordinate system: overlap the X-axis of coordinate system 1 and coordinate system 2 to serve as the X-axis of the multidimensional coordinate system; use the Y-axis of coordinate system 1 as the Y-axis of the multidimensional coordinate system; use the Y-axis of coordinate system 2 as the Z-axis of the multidimensional coordinate system; use the Y-axis of coordinate system 3 as the W-axis of the multidimensional coordinate system; S5, displaying the values ​​of coordinate system 1, coordinate system 2 and coordinate system 3 on the multi-dimensional coordinate system: displaying the curve graph of coordinate system 1 on the plane where the XY axis of the multi-dimensional coordinate system is located; displaying the curve graph of coordinate system 2 on the plane where the XZ axis of the multi-dimensional coordinate system is located; displaying the curve graph of coordinate system 3 on the plane where the XW axis of the multi-dimensional coordinate system is located; S6. Construct a reference curve on the plane where the XW axis of the multidimensional coordinate system is located: construct a straight line between the coordinate points where the values ​​of each item of the curve graph on the plane where the XY axis of the multidimensional coordinate system is located and the coordinate points where the values ​​of each item of the curve graph on the plane where the XZ axis of the multidimensional coordinate system is located, mark the intersection of the straight line and the plane where the XW axis of the multidimensional coordinate system is located, and connect the intersections of the straight lines constructed at different unit times with the plane where the XW axis is located to construct a reference curve; S7. Analyze the relative relationship between the reference curve and the production capacity of the energy production unit, the sales volume of the energy production unit, and the energy storage volume change curve of the energy production unit in the XW axis of the multidimensional coordinate system.

2. The energy supply chain management system based on the combination of energy production and sales according to claim 1 is characterized by: The sales management module classifies the energy production units according to their sales targets, further classifies the energy production units with the same sales target, and divides the supply capacity levels according to the sales data of the energy production units.

3. The energy supply chain management system based on the combination of energy production and sales according to claim 1 is characterized by: The inventory management module first encrypts the energy inventory information uploaded by the energy production unit, and then uses the data analysis model to verify the authenticity of the energy inventory information uploaded by the energy production unit in combination with the production capacity data items of the energy production unit. When it is verified that the energy inventory information uploaded by the energy production unit contains false information, the energy production unit is given a credit rating.

4. The energy supply chain management system based on the combination of energy production and sales according to claim 1 is characterized by: The logistics management module obtains the supply chain logistics information used by the energy production unit, and classifies the supply chain logistics information according to the region, merges the same logistics companies, and obtains the transportation capacity information of the corresponding logistics companies.

5. The energy supply chain management system based on the combination of energy production and sales according to claim 1 is characterized by: In step S6, since the reference curve is constructed based on the curve chart items of the time period where the emergency event occurs and the curve chart items of the predicted normal time period, the changes in the reference curve and the changes in the curve chart items of the energy production unit can reflect the degree of fit between the energy supply and energy supply capacity changes of the energy production unit, thereby reflecting the energy supply capacity and energy supply capacity changes of the energy production unit during the emergency event time period.

6. The energy supply chain management system based on the combination of energy production and sales according to claim 1 is characterized by: In step S2, the coordinate system 2 is constructed by analyzing historical data to predict future data changes, eliminating the impact of emergencies on the time-line data, and simulating the data changes in the time period when no emergencies occur. The analysis methods include but are not limited to: time series analysis, machine learning methods and regression analysis methods.

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