New energy data entry method, system and device and storage medium

Abstract

The invention discloses a new energy data entry method, system and device and a storage medium, and relates to the technical field of data entry, and the method comprises the steps: obtaining machine account data, and obtaining a proportion emphasis parameter; acquiring a period consumption curve, and acquiring a data entry period; recording machine account data of the new energy based on the data recording period; the method is used for solving the problems that in an existing new energy machine account data input method, when machine account data of multiple kinds of new energy is continuously input for a long time, the input period of each machine account data cannot be controlled based on the consumption cost and the consumption proportion of each kind of new energy, and therefore after the machine account data is input, the machine account data cannot be continuously input. The problems that the data processing time is increased and the data efficiency is reduced due to the fact that workers are assisted to carry out effective data analysis are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of data entry, and in particular to a new energy data entry method, system, device and storage medium. Background Art

[0002] New energy is relative to traditional energy sources such as coal, oil, and natural gas, also known as unconventional energy, referring to various forms of energy other than traditional energy; it refers to energy that has just begun to be developed and utilized or is being actively researched and is yet to be promoted; it includes solar energy, geothermal energy, wind energy, ocean energy, biomass energy, and nuclear fusion energy, etc., which have the characteristics of no risk of resource depletion and falling energy prices, and are the key areas of future energy development; new energy ledger data mainly records aspects such as the energy type, energy consumption cost, energy consumption quantity, energy consumption ratio, and energy consumption trend of new energy.

[0003] The existing method for entering data on the ledgers of new energy sources usually standardizes the data entry format of the ledger data, and standardizes the entered equipment or data by establishing a standardized dictionary or generating standardized codes, so as to ensure that the entered data of various types can be uniformly stored and managed. Although this improved method can help to achieve cross-system harmony of data, when the ledger data of various new energy sources are continuously entered for a long time, only standardization can ensure the uniformity of the entered data format, and it is impossible to control the entry cycle of each ledger data based on the consumption cost and consumption ratio of each new energy source, so that it is impossible to assist the staff in performing effective data analysis after the ledger data is entered, which leads to the problem of increasing data processing time and reducing data efficiency. For example, in the publication number CN118964461 A's patent application discloses a method, system, device and medium for standardizing the inventory of new energy equipment. The solution is to generate a unique identification code for the equipment and the location code of the equipment according to the standardized code. The method, system, device and medium can achieve cross-system integration. Other improvements in the input of inventory data for new energy are usually improvements in file query in the input software. They still cannot solve the problem that when the inventory data of multiple new energy sources are continuously input for a long time, the input cycle of each ledger data cannot be controlled based on the consumption cost and consumption ratio of each new energy, so that after the ledger data is entered, it is impossible to assist the staff to conduct effective data analysis, which leads to the problem of increasing data processing time and reducing data efficiency. In view of this, it is necessary to improve the existing method for inputting new energy ledger data. Summary of the invention

[0004] The present invention aims to solve one of the technical problems in the prior art to at least a certain extent. It proposes a new energy data entry method, system, device and storage medium to solve the problem in the existing new energy ledger data entry method that when the ledger data of multiple new energy sources are continuously entered for a long time, the entry cycle of each ledger data cannot be controlled based on the consumption cost and consumption ratio of each new energy, so that after the ledger data is entered, it is impossible to assist the staff to conduct effective data analysis, which in turn increases the data processing time and reduces the data efficiency.

[0005] To achieve the above objectives, in a first aspect, the present application provides a new energy data entry method, comprising the following steps: Obtain the ledger data of various new energy sources, and obtain the proportion focus parameters of each energy source based on the energy consumption cost and energy consumption ratio in the ledger data; Obtain the periodic consumption curve of each new energy source based on the ledger data, and obtain the data entry cycle of all new energy sources based on the periodic consumption curve and the proportion focus parameters; The ledger data of new energy sources are entered based on the data entry cycle, and an entry prediction is made for the ledger data that has not been entered within the data entry cycle during the first data entry. Based on the entry prediction, all the entered data within the data entry cycle are marked with differences.

[0006] Furthermore, the ledger data of various new energy sources are obtained, and the proportion of each energy source is obtained based on the energy consumption cost and energy consumption ratio in the ledger data, including: Based on big data or database, the account data of various new energy sources that have been recorded are obtained and recorded as recorded account data YT1 to recorded account data YT n , where the new energy sources corresponding to any two recorded ledger data YT can be the same, and the new energy source corresponding to each recorded ledger data YT is recorded as the representative energy of the recorded ledger data YT; for any recorded ledger data YT c , and record the data in YT c The days on which the account data is recorded are recorded as D0; Establish a plane rectangular coordinate system, recorded as the recorded cost analysis coordinate system, where the unit of the X-axis of the recorded cost analysis coordinate system is days, and the unit of the Y-axis is the amount; based on the recorded ledger data YT c Get the recorded account data every day within D0 days YT c The cost of energy consumption is punctuated in the recorded cost analysis coordinate system, and all the punctuation points are fitted into a curve, which is recorded as the consumption cost curve.

[0007] Furthermore, the ledger data of various new energies are obtained, and the proportion-focused parameters of each energy source are obtained based on the energy consumption cost and energy consumption ratio in the ledger data, and further include: Will be recorded with the account data YT c The recorded data YT representing the same energy is recorded as the recorded data YT c The same source ledger data, and the days on which all the same source ledger data are recorded are recorded as D1 to D r ; Get the recorded ledger data YT c The consumption cost curve of all homologous ledger data; D0 to D r The minimum value in is denoted as D min ; Place the recorded ledger data YT in the same recorded cost analysis coordinate system c Consumption cost curve and recorded account data YT c All consumption cost curves of the same source ledger data, for the horizontal axis from 0 to D min For any value X0 in the equation, use the balanced cost algorithm to obtain the multi-source cost parameter corresponding to X0. The balanced cost algorithm is: , where K is the multi-source cost parameter, k i D0 to D r Middle D i The corresponding consumption cost curve is at the ordinate of X=X0, k min is the minimum value of the ordinate of all consumption cost curves at X=X0, k max It is the maximum value of the ordinate of all consumption cost curves at X=X0; Get 0 to D min All corresponding multi-source cost parameters are obtained, and the curve fitted by all multi-source cost parameters is recorded as the multi-source consumption curve.

[0008] Furthermore, the ledger data of various new energies are obtained, and the proportion-focused parameters of each energy source are obtained based on the energy consumption cost and energy consumption ratio in the ledger data, and further include: Establish a plane rectangular coordinate system, record it as the recorded proportion analysis coordinate system, where the X-axis unit of the recorded proportion analysis coordinate system is days, and the Y-axis is the constant axis; record the recorded account data YT c Get the recorded account data every day within D0 days YT c The ratio of the cost of energy consumption to the total energy consumption is recorded as the daily consumption cost ratio. In the recorded proportion analysis coordinate system, the number of days is the horizontal axis and the consumption cost ratio is the vertical axis. c The data within D0 days are punctuated in sequence, and all punctuation points are fitted into a curve, which is recorded as the proportional cost curve; Get the recorded account data YTc The proportional cost curve of all homologous ledger data, and the recorded ledger data YT c The proportional cost curve and the recorded account data YT c The proportional cost curves of all homologous account data are fitted into a curve, recorded as the homologous proportional curve, and the curves with abscissas greater than D0 in the homologous proportional curve are removed; For any point (x1, y1) in the multi-source consumption curve, mark the vertical coordinate of the point with the horizontal coordinate x1 in the homologous proportion curve as y2, and record the value of y1 divided by y2 as the proportion emphasis value of x1; obtain the proportion emphasis values ​​corresponding to the horizontal coordinates of all points in the multi-source consumption curve, and record the average value of all proportion emphasis values ​​as the recorded account data YT c The representative energy ratio focuses on the parameter; Get all recorded ledger data YT1 to recorded ledger data YT n The proportion of each energy source in the focus parameter.

[0009] Furthermore, based on the ledger data, the cycle consumption curve of each new energy source is obtained, and based on the cycle consumption curve and the proportion focus parameter, the data entry cycle of all new energy sources is obtained, including: For the recorded account data YT1 to the recorded account data YT n Any recorded data in YT c , and record the data in YT c The daily account data YT has been recorded within D0 days c The representative energy consumption is recorded as the daily energy consumption; Establish a plane rectangular coordinate system, recorded as the periodic consumption analysis coordinate system, where the unit of the X-axis of the periodic consumption analysis coordinate system is days, and the unit of the Y-axis is kilowatt-hours; based on the recorded ledger data YT c The energy consumption of each day in D0 is punctuated in the periodic consumption analysis coordinate system, and all punctuations are fitted into a curve, which is recorded as the recorded account data YT c The cycle consumption curve of Get the recorded account data YT c The periodic consumption curve of all homologous ledger data, and the number of days to be recorded is D min In the corresponding cycle consumption curve, the cycle consumption curve, X-axis, Y-axis and X=D min The area of ​​the enclosed area is recorded as the minimum reference area; the minimum reference area is compared with the recorded account data YT c The product of the representative energy ratio emphasis parameters is recorded as the representative parameter.

[0010] Furthermore, obtaining the periodic consumption curve of each new energy source based on the ledger data, and obtaining the data entry cycle of all new energy sources based on the periodic consumption curve and the proportion emphasis parameter also includes: The unit where the new energy source for data entry is located is recorded as the application unit, and the recorded ledger data YT c The recorded ledger data YT belonging to the application unit in all the same source ledger data is recorded as application ledger data, and the recorded ledger data YT c The representative energy is recorded as the weekly expected energy of the application unit; the periodic horizontal coordinate in the periodic consumption curve of the application ledger data is obtained, where the periodic horizontal coordinate satisfies: the area of ​​the closed area surrounded by the periodic consumption curve, the X-axis, the Y-axis and the X=periodic horizontal coordinate is equal to the area of ​​the recorded ledger data YT c The product of the representative energy ratio emphasis parameters is equal to the representative parameter; The days corresponding to the horizontal axis of the cycle are recorded as the data entry cycle of the weekly energy to be obtained by the application unit; and the data entry cycle of all new energy sources of the application unit is obtained.

[0011] Furthermore, the ledger data of new energy sources is entered based on the data entry cycle, and the ledger data that has not been entered in the data entry cycle is predicted to be entered during the first data entry, and all the entered data in the data entry cycle are marked with differences based on the entry prediction, including: For any new energy of the application unit: data entry is carried out according to the data entry cycle corresponding to the new energy. When the ledger data of the new energy is entered, the entered energy consumption cost and energy consumption ratio are substituted into the multi-source consumption curve and the homologous proportion curve corresponding to the new energy, and the multi-source consumption curve and the homologous proportion curve are scaled proportionally based on the entered energy consumption cost and energy consumption ratio; when the subsequently entered energy consumption cost and energy consumption ratio cannot be substituted into the multi-source consumption curve and the homologous proportion curve after proportional scaling, the subsequently entered energy consumption cost and energy consumption ratio are marked as different.

[0012] In a second aspect, the present application also provides a new energy data entry system, including a ratio focus analysis module, an entry cycle extraction module, and an entry difference marking module; The proportion emphasis analysis module is used to obtain the ledger data of various new energy sources, and obtain the proportion emphasis parameters of each energy source based on the energy consumption cost and energy consumption ratio in the ledger data; The input cycle extraction module is used to obtain the cycle consumption curve of each new energy source based on the ledger data, and obtain the data input cycle of all new energy sources based on the cycle consumption curve and the proportion emphasis parameter; The entry difference marking module is used to enter the ledger data of new energy based on the data entry cycle, and to make entry predictions for the ledger data that has not been entered within the data entry cycle during the first data entry, and to mark the differences for all the entered data within the data entry cycle based on the entry predictions.

[0013] In a third aspect, the present application provides an electronic device, comprising a processor and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps in the above method are performed.

[0014] In a fourth aspect, the present application provides a storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps in the above method are performed.

[0015] Beneficial effects of the present invention: The present application first obtains ledger data of multiple new energy sources, and obtains the proportion-focused parameters of each energy source based on the energy consumption cost and the energy consumption ratio in the ledger data. The advantage of this is that by obtaining the proportion-focused parameters of each energy source based on the energy consumption cost and the energy consumption ratio, the proportion of each energy source in the total energy source can be obtained. If the energy consumption cost or the consumption ratio is large, it means that the energy source is more important in the total energy source, which helps to adjust the data entry cycle of energy sources of different importance in subsequent analysis, so as to achieve a reasonable data entry cycle when long-term continuous data entry is performed to assist the staff in effective data analysis; The present application also obtains the periodic consumption curve of each new energy source based on the ledger data, and obtains the data entry cycle of all new energy sources based on the periodic consumption curve and the proportion emphasis parameter; finally, the ledger data of the new energy source is entered based on the data entry cycle, and an entry prediction is made for the ledger data that has not been entered within the data entry cycle during the first data entry, and all entered data within the data entry cycle are differentially marked based on the entry prediction. The advantage of this is that by obtaining the data entry cycle and making an entry prediction for the ledger data when entering data based on the data entry cycle, it is possible to assist the staff in conducting effective data analysis through the data entry cycle after the ledger data is entered, thereby increasing data processing time and reducing data efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a functional block diagram of the system of the present invention; Figure 2 is a flow chart of the steps of the method of the present invention; Figure 3 is a schematic diagram of a recorded cost analysis coordinate system of the present invention; Figure 4 is a schematic diagram of a recorded proportional analysis coordinate system of the present invention; Figure 5 A schematic diagram of a cycle consumption analysis coordinate system of the present invention; Figure 6 It is a schematic structural diagram of the electronic device of the present invention. DETAILED DESCRIPTION

[0017] 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.

[0018] Example 1, please refer to Figure 1 As shown, the present application provides a new energy data entry system, including a ratio focus analysis module, an entry cycle extraction module and an entry difference marking module; The proportion focus analysis module is used to obtain the ledger data of various new energy sources, and obtain the proportion focus parameters of each energy source based on the energy consumption cost and energy consumption ratio in the ledger data; the proportion focus analysis module includes a proportion focus analysis unit, and the proportion focus analysis unit is configured with a proportion focus analysis strategy, which includes: based on big data or database, the ledger data of various new energy sources that have been entered are obtained, and are recorded as recorded ledger data YT1 to recorded ledger data YT n , where the new energy sources corresponding to any two recorded ledger data YT can be the same, and the new energy source corresponding to each recorded ledger data YT is recorded as the representative energy of the recorded ledger data YT; for any recorded ledger data YT c , and record the data in YT c The days on which the account data is recorded are recorded as D0; In the specific implementation process, in this embodiment, the ledger data of new energy sources can be data on energy consumption costs, energy consumption quantities, energy consumption ratios, and energy consumption trends of energy sources such as solar energy, geothermal energy, wind energy, ocean energy, biomass energy, and nuclear fusion energy. The data can be specifically set according to the composition of new energy sources and their ledger data during actual data analysis; Establish a plane rectangular coordinate system, recorded as the recorded cost analysis coordinate system, where the unit of the X-axis of the recorded cost analysis coordinate system is days, and the unit of the Y-axis is the amount; based on the recorded ledger data YT c Get the recorded account data every day within D0 days YT c The cost of energy consumption is marked in the recorded cost analysis coordinate system, and all the marks are fitted into a curve, which is recorded as the consumption cost curve; In the specific implementation process, for example, during a data processing, the recorded cost analysis coordinate system is obtained as follows Figure 3 As shown, ○ is the daily recorded account data YT c The cost of energy consumption is the punctuation point in the recorded cost analysis coordinate system. Curve XC is the consumption cost curve obtained by fitting based on the above punctuation points. Curves XC1 to XC3 are the consumption cost curves of the same source ledger data corresponding to curve XC. Through analysis, it can be obtained that XX1 is D min , by obtaining D min It can ensure that subsequent analysis can combine all consumption cost curves to ensure that the data obtained is more consistent with the representative energy of the recorded ledger data YT; Will be recorded with the account data YT c The recorded data YT representing the same energy is recorded as the recorded data YT c The same source ledger data, and the days on which all the same source ledger data are recorded are recorded as D1 to D r ; Get the recorded ledger data YT c The consumption cost curve of all homologous ledger data; D0 to D r The minimum value in is denoted as D min ; Place the recorded ledger data YT in the same recorded cost analysis coordinate system c Consumption cost curve and recorded account data YT c All consumption cost curves of the same source ledger data, for the horizontal axis from 0 to D min For any value X0 in the equation, use the balanced cost algorithm to obtain the multi-source cost parameter corresponding to X0. The balanced cost algorithm is: , where K is the multi-source cost parameter, k i D0 to D r Middle D i The corresponding consumption cost curve is at the ordinate of X=X0, k min is the minimum value of the ordinate of all consumption cost curves at X=X0, k max It is the maximum value of the ordinate of all consumption cost curves at X=X0; In the specific implementation process, for example, in a data processing, the value of r is 3, k o k3 is 2000, 1800, 2200 and 2000 respectively. Then, it can be calculated that the multi-source cost parameter is 1500. By obtaining the multi-source cost parameter, the comprehensive parameters corresponding to the cost of the same energy in multiple ledger data can be obtained; by obtaining the multi-source cost parameters of multiple energy sources, it is helpful to effectively control the consumption cost of energy when it is obtained; Get 0 to D minAll corresponding multi-source cost parameters, and the curve fitted by all multi-source cost parameters is recorded as the multi-source consumption curve; Establish a plane rectangular coordinate system, record it as the recorded proportion analysis coordinate system, where the X-axis unit of the recorded proportion analysis coordinate system is days, and the Y-axis is the constant axis; record the recorded account data YT c Get the recorded account data every day within D0 days YT c The ratio of the cost of energy consumption to the total energy consumption is recorded as the daily consumption cost ratio. In the recorded proportion analysis coordinate system, the number of days is the horizontal axis and the consumption cost ratio is the vertical axis. c The data within D0 days are punctuated in sequence, and all punctuation points are fitted into a curve, which is recorded as the proportional cost curve; In the specific implementation process, for example, in a data processing, the recorded ledger data YT is obtained c Get the recorded account data on the third day YT c The cost of energy consumption is 1000 yuan, and the total energy consumption cost on the third day is 10000 yuan. Then, by calculation, the recorded data YT c The consumption cost ratio on the third day is 0.1; by obtaining the consumption cost ratio, we can get the proportion of the cost required for each new energy source to be obtained in the total cost, so as to indirectly get the demand for each new energy source, which is helpful for the subsequent combination of multi-source consumption curves to obtain the emphasis of new energy in the total energy, and then provide data support for the subsequent cycle analysis; Get the recorded account data YT c The proportional cost curve of all homologous ledger data, and the recorded ledger data YT c The proportional cost curve and the recorded account data YT c The proportional cost curves of all homologous account data are fitted into a curve, recorded as the homologous proportional curve, and the curves with abscissas greater than D0 in the homologous proportional curve are removed; In the specific implementation process, for example, the recorded proportional analysis coordinate system obtained during a data processing is as follows Figure 4 As shown, curves BC1 to BC4 are ledger data YT c The proportional cost curve and the recorded account data YT c The proportional cost curve of all homologous ledger data, curve BC0 is the homologous proportional curve obtained by fitting curves BC1 to BC4. By obtaining the homologous curve proportional curve, the comprehensive situation of the daily cost ratio of the same new energy in different ledger data can be obtained, which helps to ensure that the data can reflect the actual cost ratio increase of new energy in the ledger data; For any point (x1, y1) in the multi-source consumption curve, mark the vertical coordinate of the point with the horizontal coordinate x1 in the homologous proportion curve as y2, and record the value of y1 divided by y2 as the proportion emphasis value of x1; obtain the proportion emphasis values ​​corresponding to the horizontal coordinates of all points in the multi-source consumption curve, and record the average value of all proportion emphasis values ​​as the recorded account data YT c The representative energy ratio focuses on the parameter; In the specific implementation process, for example, in a data processing, a point in the multi-source consumption curve is (3, 1500), and the vertical coordinate of the point with the horizontal coordinate of 3 in the homologous proportion curve is 0.1, then the proportion emphasis value of 3 can be obtained by calculation as 15000; by obtaining the proportion emphasis value and then obtaining the proportion emphasis parameter, the parameter corresponding to the energy can be obtained based on the energy consumption cost and the proportion of energy consumption in the total energy; the parameter can reflect the cost value of energy in the total energy, and the larger the proportion emphasis parameter, the higher the cost value of the energy in the total energy; Get all recorded ledger data YT1 to recorded ledger data YT n The proportion of each energy source in the focus parameter.

[0019] The input cycle extraction module is used to obtain the cycle consumption curve of each new energy source based on the ledger data, and obtain the data input cycle of all new energy sources based on the cycle consumption curve and the proportion focus parameter; the input cycle extraction module includes a homologous cycle extraction unit, and the homologous cycle extraction unit is configured with a homologous cycle extraction strategy. The homologous cycle extraction strategy includes: for the recorded ledger data YT1 to the recorded ledger data YT n Any recorded data in YT c , and record the data in YT c The daily account data YT has been recorded within D0 days c The representative energy consumption is recorded as the daily energy consumption; Establish a plane rectangular coordinate system, recorded as the periodic consumption analysis coordinate system, where the unit of the X-axis of the periodic consumption analysis coordinate system is days, and the unit of the Y-axis is kilowatt-hours; based on the recorded ledger data YT c The energy consumption of each day in D0 is punctuated in the periodic consumption analysis coordinate system, and all punctuations are fitted into a curve, which is recorded as the recorded account data YT c The cycle consumption curve of In the specific implementation process, for example, during a data processing, the cycle consumption analysis coordinate system is obtained as follows: Figure 5 As shown, ZX1 to ZX4 are the recorded account data YT obtained based on fitting. c The cycle consumption curve and recorded ledger data YT cThe period consumption curve of all the same source ledger data; through analysis, it can be obtained that the number of days recorded by curve ZX1 is the smallest, so the area of ​​​​ZZ composed of DB1, DB2, DB3 and the coordinate origin corresponding to curve ZX1 can be recorded as the minimum reference area; Get the recorded account data YT c The periodic consumption curve of all homologous ledger data, and the number of days to be recorded is D min In the corresponding cycle consumption curve, the cycle consumption curve, X-axis, Y-axis and X=D min The area of ​​the enclosed area is recorded as the minimum reference area; the minimum reference area is compared with the recorded account data YT c The product of the representative energy ratio emphasis parameter is recorded as the representative parameter; In this embodiment, the data corresponding to the minimum reference area is the total amount of energy consumption in the recorded ledger data YT with the smallest number of recorded days; by obtaining the minimum reference area and obtaining based on the minimum reference area, the representative parameter can be obtained, and the cycle of data entry of the application unit during actual energy data entry can be obtained with the minimum reference area as a constraint, and it can be ensured that for the same energy, the energy consumption in each cycle when the cycle is obtained is roughly the same as the comprehensive situation of the proportion of the energy in the total energy; The unit where the new energy source for data entry is located is recorded as the application unit, and the recorded ledger data YT c The recorded ledger data YT belonging to the application unit in all the same source ledger data is recorded as application ledger data, and the recorded ledger data YT c The representative energy is recorded as the weekly expected energy of the application unit; the periodic horizontal coordinate in the periodic consumption curve of the application ledger data is obtained, where the periodic horizontal coordinate satisfies: the area of ​​the closed area surrounded by the periodic consumption curve, the X-axis, the Y-axis and the X=periodic horizontal coordinate is equal to the area of ​​the recorded ledger data YT c The product of the representative energy ratio emphasis parameters is equal to the representative parameter; In the specific implementation process, for example, in a data processing, the minimum reference area obtained is 40, and the recorded account data YT c The representative energy proportion emphasis parameter is 15000, then through calculation, the representative parameter is 600000. Through data processing, when the horizontal axis of the cycle is 4, the product of the cycle consumption curve, the X-axis, the Y-axis and the closed area surrounded by X=4 in the cycle consumption curve of the application ledger data and 15000 is equal to 600000, then 4 can be recorded as the data entry cycle of the weekly energy to be taken by the application unit; The days corresponding to the horizontal axis of the cycle are recorded as the data entry cycle of the weekly energy to be obtained by the application unit; and the data entry cycle of all new energy sources of the application unit is obtained.

[0020] The input difference marking module is used to input the ledger data of new energy based on the data input cycle, and to make input predictions for the ledger data that have not been input within the data input cycle during the first data input, and to make difference markings for all the input data within the data input cycle based on the input predictions; The input difference marking module includes an input difference marking unit, and the input difference marking unit is configured with an input difference marking strategy, and the input difference marking strategy includes: for any new energy of the application unit: data entry is performed periodically with the data entry cycle corresponding to the new energy, when the ledger data of the new energy is entered, the entered energy consumption cost and energy consumption ratio are substituted into the multi-source consumption curve and the homologous proportion curve corresponding to the new energy, and the multi-source consumption curve and the homologous proportion curve are scaled proportionally based on the entered energy consumption cost and energy consumption ratio; In the specific implementation process, by scaling and marking the difference, a multi-source consumption curve and a homologous ratio curve that are consistent with the actual input data can be obtained, thereby ensuring accurate difference marking during analysis; by marking the difference, the staff can be assisted in effective data analysis to find abnormal data that is inconsistent with the regular data, thereby increasing the data processing time and reducing the data efficiency; When the energy consumption cost and energy consumption ratio entered subsequently cannot be substituted into the multi-source consumption curve and the homologous source ratio curve after proportional scaling, the energy consumption cost and energy consumption ratio entered subsequently are marked as different.

[0021] Example 2, please refer to Figure 2 As shown, the present application also provides a new energy data entry method, comprising the following steps: Step S1, obtaining ledger data of multiple new energy sources, and obtaining the proportion focus parameters of each energy source based on the energy consumption cost and energy consumption ratio in the ledger data; Step S1 includes: Step S101, obtaining the ledger data of multiple new energy sources that have been recorded based on big data or database, and recording them as recorded ledger data YT1 to recorded ledger data YT n , where the new energy sources corresponding to any two recorded ledger data YT can be the same, and the new energy source corresponding to each recorded ledger data YT is recorded as the representative energy of the recorded ledger data YT; for any recorded ledger data YT c , and record the data in YT c The days on which the account data is recorded are recorded as D0; Step S102, establish a plane rectangular coordinate system, recorded as the recorded cost analysis coordinate system, where the unit of the X-axis of the recorded cost analysis coordinate system is days, and the unit of the Y-axis is money; based on the recorded ledger data YT c Get the recorded account data every day within D0 days YTc The cost of energy consumption is marked in the recorded cost analysis coordinate system, and all the marks are fitted into a curve, which is recorded as the consumption cost curve; Step S103, compare the recorded account data YT c The recorded data YT representing the same energy is recorded as the recorded data YT c The same source ledger data, and the days on which all the same source ledger data are recorded are recorded as D1 to D r ; Get the recorded ledger data YT c The consumption cost curve of all homologous ledger data; D0 to D r The minimum value in is denoted as D min ; Step S104, placing the recorded account data YT in the same recorded cost analysis coordinate system c Consumption cost curve and recorded account data YT c All consumption cost curves of the same source ledger data, for the horizontal axis from 0 to D min For any value X0 in the equation, use the balanced cost algorithm to obtain the multi-source cost parameter corresponding to X0. The balanced cost algorithm is: , where K is the multi-source cost parameter, k i D0 to D r Middle D i The corresponding consumption cost curve is at the ordinate of X=X0, k min is the minimum value of the ordinate of all consumption cost curves at X=X0, k max It is the maximum value of the ordinate of all consumption cost curves at X=X0; Step S105, obtain 0 to D min All corresponding multi-source cost parameters, and the curve fitted by all multi-source cost parameters is recorded as the multi-source consumption curve; Step S106, establish a plane rectangular coordinate system, record it as the recorded proportion analysis coordinate system, where the X-axis unit of the recorded proportion analysis coordinate system is days, and the Y-axis is a constant axis; record the recorded account data YT c Get the recorded account data every day within D0 days YT c The ratio of the cost of energy consumption to the total energy consumption is recorded as the daily consumption cost ratio. In the recorded proportion analysis coordinate system, the number of days is the horizontal axis and the consumption cost ratio is the vertical axis. c The data within D0 days are punctuated in sequence, and all punctuation points are fitted into a curve, which is recorded as the proportional cost curve; Step S107, obtain the recorded account data YT c The proportional cost curve of all homologous ledger data, and the recorded ledger data YTc The proportional cost curve and the recorded account data YT c The proportional cost curves of all homologous account data are fitted into a curve, recorded as the homologous proportional curve, and the curves with abscissas greater than D0 in the homologous proportional curve are removed; Step S108: for any point (x1, y1) in the multi-source consumption curve, mark the vertical coordinate of the point with the horizontal coordinate x1 in the same source proportion curve as y2, and record the value of y1 divided by y2 as the proportion emphasis value of x1; obtain the proportion emphasis values ​​corresponding to the horizontal coordinates of all points in the multi-source consumption curve, and record the average value of all proportion emphasis values ​​as the recorded account data YT c The representative energy ratio focuses on the parameter; Step S109, obtain all recorded ledger data YT1 to recorded ledger data YT n The proportion of each energy source in the focus parameter.

[0022] Step S2, based on the ledger data, obtain the cycle consumption curve of each new energy source, and based on the cycle consumption curve and the proportion emphasis parameter, obtain the data entry cycle of all new energy sources; Step S2 includes: Step S201, for the recorded ledger data YT1 to the recorded ledger data YT n Any recorded data in YT c , and record the data in YT c The daily account data YT has been recorded within D0 days c The representative energy consumption is recorded as the daily energy consumption; Step S202, establish a plane rectangular coordinate system, recorded as the periodic consumption analysis coordinate system, wherein the unit of the X-axis of the periodic consumption analysis coordinate system is days, and the unit of the Y-axis is kilowatt-hours; based on the recorded ledger data YT c The energy consumption of each day in D0 is punctuated in the periodic consumption analysis coordinate system, and all punctuations are fitted into a curve, which is recorded as the recorded account data YT c The cycle consumption curve of Step S203, obtain the recorded account data YT c The periodic consumption curve of all homologous ledger data, and the number of days to be recorded is D min In the corresponding cycle consumption curve, the cycle consumption curve, X-axis, Y-axis and X=D min The area of ​​the enclosed area is recorded as the minimum reference area; the minimum reference area is compared with the recorded account data YT c The product of the representative energy ratio emphasis parameter is recorded as the representative parameter; Step S204, record the unit where the new energy source for data entry is located as the application unit, and record the recorded ledger data YT cThe recorded ledger data YT belonging to the application unit in all the same source ledger data is recorded as application ledger data, and the recorded ledger data YT c The representative energy is recorded as the weekly expected energy of the application unit; the periodic horizontal coordinate in the periodic consumption curve of the application ledger data is obtained, where the periodic horizontal coordinate satisfies: the area of ​​the closed area surrounded by the periodic consumption curve, the X-axis, the Y-axis and the X=periodic horizontal coordinate is equal to the area of ​​the recorded ledger data YT c The product of the representative energy ratio emphasis parameters is equal to the representative parameter; Step S205, record the days corresponding to the period horizontal axis as the data entry period of the weekly energy to be obtained by the application unit; and obtain the data entry period of all new energy sources of the application unit.

[0023] Step S3, enter the ledger data of new energy based on the data entry cycle, and make an entry prediction for the ledger data that has not been entered in the data entry cycle during the first data entry, and mark the differences of all the entered data in the data entry cycle based on the entry prediction.

[0024] Step S3 includes: step S301, for any new energy of the application unit: data entry is performed periodically with the data entry period corresponding to the new energy, when the ledger data of the new energy is entered, the entered energy consumption cost and energy consumption ratio are substituted into the multi-source consumption curve and the same-source ratio curve corresponding to the new energy, and the multi-source consumption curve and the same-source ratio curve are scaled proportionally based on the entered energy consumption cost and energy consumption ratio; Step S302: when the subsequently entered energy consumption cost and energy consumption ratio cannot be substituted into the proportionally scaled multi-source consumption curve and the homogeneous source ratio curve, the subsequently entered energy consumption cost and energy consumption ratio are marked as different.

[0025] Example 3, please refer to Figure 6 As shown, Figure 6An example of a structural schematic diagram of an electronic device is provided, and the electronic device may include: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus. The memory stores computer-readable instructions, and the processor may call the instructions in the memory. When the computer-readable instructions are executed by the processor, the steps in a new energy data entry method are executed to achieve the following functions: First, the ledger data of multiple new energy sources are obtained, and the proportion focus parameters of each energy source are obtained based on the energy consumption cost and the energy consumption ratio in the ledger data; then, the cycle consumption curve of each new energy source is obtained based on the ledger data, and the data entry cycle of all new energy sources is obtained based on the cycle consumption curve and the proportion focus parameters; finally, the ledger data of the new energy source is entered based on the data entry cycle, and the ledger data that has not been entered in the data entry cycle is predicted to be entered when the data is entered for the first time, and all the entered data in the data entry cycle are marked with differences based on the entry prediction.

[0026] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0027] Example 4. The present application also provides a computer-readable storage medium. The present application provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the above new energy data entry method are executed to achieve the following functions: First, the ledger data of multiple new energy sources are obtained, and the proportion focus parameters of each energy source are obtained based on the energy consumption cost and the energy consumption ratio in the ledger data; then, the periodic consumption curve of each new energy source is obtained based on the ledger data, and the data entry cycle of all new energy sources is obtained based on the periodic consumption curve and the proportion focus parameters; finally, the ledger data of the new energy source is entered based on the data entry cycle, and an entry prediction is made for the ledger data that has not been entered within the data entry cycle during the first data entry, and all entered data within the data entry cycle are differentially marked based on the entry prediction.

[0028] Through the description of the above implementation methods, the embodiments of the present invention can be provided as methods, systems or computer program products. Based on such an understanding, the above technical solutions can be essentially or partly contributed to the prior art in the form of software products, which can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and include several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0029] In the embodiments provided in the present application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of systems, modules and units can be electrical, mechanical or other forms.

[0030] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A new energy data entry method, characterized in that: The steps include: Obtain the ledger data of various new energy sources, and obtain the proportion focus parameters of each energy source based on the energy consumption cost and energy consumption ratio in the ledger data; Obtain the periodic consumption curve of each new energy source based on the ledger data, and obtain the data entry cycle of all new energy sources based on the periodic consumption curve and the proportion focus parameters; The ledger data of new energy sources are entered based on the data entry cycle, and an entry prediction is made for the ledger data that has not been entered within the data entry cycle during the first data entry. Based on the entry prediction, all the entered data within the data entry cycle are marked with differences.

2. A new energy data entry method according to claim 1, characterized in that: Obtain the ledger data of various new energy sources, and obtain the proportion of each energy source based on the energy consumption cost and energy consumption ratio in the ledger data. The focus parameters include: Based on big data or database, the account data of various new energy sources that have been recorded are obtained and recorded as recorded account data YT1 to recorded account data YT n , where the new energy sources corresponding to any two recorded ledger data YT can be the same, and the new energy source corresponding to each recorded ledger data YT is recorded as the representative energy of the recorded ledger data YT; for any recorded ledger data YT c , and record the data in YT c The days on which the account data is recorded are recorded as D0; Establish a plane rectangular coordinate system, recorded as the recorded cost analysis coordinate system, where the unit of the X-axis of the recorded cost analysis coordinate system is days, and the unit of the Y-axis is the amount; based on the recorded ledger data YT c Get the recorded account data every day within D0 days YT c The cost of energy consumption is punctuated in the recorded cost analysis coordinate system, and all the punctuation points are fitted into a curve, which is recorded as the consumption cost curve.

3. A new energy data entry method according to claim 2, characterized in that: Obtain the ledger data of various new energy sources, and obtain the proportion of each energy source based on the energy consumption cost and energy consumption ratio in the ledger data. The focus parameters also include: Will be recorded with the account data YT c The recorded data YT representing the same energy is recorded as the recorded data YT c The same source ledger data, and the days on which all the same source ledger data are recorded are recorded as D1 to D r ; Get the recorded ledger data YT c The consumption cost curve of all homologous ledger data; D0 to D r The minimum value in is denoted as D min ; Place the recorded ledger data YT in the same recorded cost analysis coordinate system c Consumption cost curve and recorded account data YT c All consumption cost curves of the same source ledger data, for the horizontal axis from 0 to D min For any value X0 in the equation, use the balanced cost algorithm to obtain the multi-source cost parameter corresponding to X0. The balanced cost algorithm is: , where K is the multi-source cost parameter, k i D0 to D r Middle D i The corresponding consumption cost curve is at the ordinate of X=X0, k min is the minimum value of the ordinate of all consumption cost curves at X=X0, k max It is the maximum value of the ordinate of all consumption cost curves at X=X0; Get 0 to D min All corresponding multi-source cost parameters are obtained, and the curve fitted by all multi-source cost parameters is recorded as the multi-source consumption curve.

4. A new energy data entry method according to claim 3, characterized in that: Obtain the ledger data of various new energy sources, and obtain the proportion of each energy source based on the energy consumption cost and energy consumption ratio in the ledger data. The focus parameters also include: Establish a plane rectangular coordinate system, record it as the recorded proportion analysis coordinate system, where the X-axis unit of the recorded proportion analysis coordinate system is days, and the Y-axis is the constant axis; record the recorded account data YT c Get the recorded account data every day within D0 days YT c The ratio of the cost of energy consumption to the total energy consumption is recorded as the daily consumption cost ratio. In the recorded proportion analysis coordinate system, the number of days is the horizontal axis and the consumption cost ratio is the vertical axis. c The data within D0 days are punctuated in sequence, and all punctuation points are fitted into a curve, which is recorded as the proportional cost curve; Get the recorded account data YT c The proportional cost curve of all homologous ledger data, and the recorded ledger data YT c The proportional cost curve and the recorded account data YT c The proportional cost curves of all homologous account data are fitted into a curve, recorded as the homologous proportional curve, and the curves with abscissas greater than D0 in the homologous proportional curve are removed; For any point (x1, y1) in the multi-source consumption curve, mark the vertical coordinate of the point with the horizontal coordinate x1 in the homologous proportion curve as y2, and record the value of y1 divided by y2 as the proportion emphasis value of x1; obtain the proportion emphasis values ​​corresponding to the horizontal coordinates of all points in the multi-source consumption curve, and record the average value of all proportion emphasis values ​​as the recorded account data YT c The representative energy ratio focuses on the parameter; Get all recorded ledger data YT1 to recorded ledger data YT n The proportion of each energy source in the focus parameter.

5. A new energy data entry method according to claim 3, characterized in that: Based on the ledger data, the cycle consumption curve of each new energy source is obtained, and based on the cycle consumption curve and the proportion focus parameters, the data entry cycle of all new energy sources is obtained, including: For the recorded account data YT1 to the recorded account data YT n Any recorded data in YT c , and record the data in YT c The daily account data YT has been recorded within D0 days c The representative energy consumption is recorded as the daily energy consumption; Establish a plane rectangular coordinate system, recorded as the periodic consumption analysis coordinate system, where the unit of the X-axis of the periodic consumption analysis coordinate system is days, and the unit of the Y-axis is kilowatt-hours; based on the recorded ledger data YT c The energy consumption of each day in D0 is punctuated in the periodic consumption analysis coordinate system, and all punctuations are fitted into a curve, which is recorded as the recorded account data YT c The cycle consumption curve of Get the recorded account data YT c The periodic consumption curve of all homologous ledger data, and the number of days to be recorded is D min In the corresponding cycle consumption curve, the cycle consumption curve, X-axis, Y-axis and X=D min The area of ​​the enclosed area is recorded as the minimum reference area; the minimum reference area is compared with the recorded account data YT c The product of the representative energy ratio emphasis parameters is recorded as the representative parameter.

6. A new energy data entry method according to claim 3, characterized in that: Based on the ledger data, the cycle consumption curve of each new energy source is obtained, and based on the cycle consumption curve and the proportion focus parameters, the data entry cycle of all new energy sources is obtained. It also includes: The unit where the new energy source for data entry is located is recorded as the application unit, and the recorded ledger data YT c The recorded ledger data YT belonging to the application unit in all the same source ledger data is recorded as application ledger data, and the recorded ledger data YT c The representative energy is recorded as the weekly expected energy of the application unit; the periodic horizontal coordinate in the periodic consumption curve of the application ledger data is obtained, where the periodic horizontal coordinate satisfies: the area of ​​the closed area surrounded by the periodic consumption curve, the X-axis, the Y-axis and the X=periodic horizontal coordinate is equal to the area of ​​the recorded ledger data YT c The product of the representative energy ratio emphasis parameters is equal to the representative parameter; The days corresponding to the horizontal axis of the cycle are recorded as the data entry cycle of the weekly energy to be obtained by the application unit; and the data entry cycle of all new energy sources of the application unit is obtained.

7. A new energy data entry method according to claim 3, characterized in that: The new energy ledger data is entered based on the data entry cycle, and the ledger data that has not been entered in the data entry cycle is predicted during the first data entry. All the entered data in the data entry cycle are marked with differences based on the entry prediction, including: For any new energy of the application unit: data entry is carried out according to the data entry cycle corresponding to the new energy. When the ledger data of the new energy is entered, the entered energy consumption cost and energy consumption ratio are substituted into the multi-source consumption curve and the homologous proportion curve corresponding to the new energy, and the multi-source consumption curve and the homologous proportion curve are scaled proportionally based on the entered energy consumption cost and energy consumption ratio; when the subsequently entered energy consumption cost and energy consumption ratio cannot be substituted into the multi-source consumption curve and the homologous proportion curve after proportional scaling, the subsequently entered energy consumption cost and energy consumption ratio are marked as different.

8. A new energy data entry system, used to implement a new energy data entry method according to any one of claims 1 to 7, characterized in that: It includes a ratio focus analysis module, an input cycle extraction module, and an input difference marking module; The proportion emphasis analysis module is used to obtain the ledger data of various new energy sources, and obtain the proportion emphasis parameters of each energy source based on the energy consumption cost and energy consumption ratio in the ledger data; The input cycle extraction module is used to obtain the cycle consumption curve of each new energy source based on the ledger data, and obtain the data input cycle of all new energy sources based on the cycle consumption curve and the proportion emphasis parameter; The entry difference marking module is used to enter the ledger data of new energy based on the data entry cycle, and to make entry predictions for the ledger data that has not been entered within the data entry cycle during the first data entry, and to mark the differences for all the entered data within the data entry cycle based on the entry predictions.

9. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, the steps in the method according to any one of claims 1 to 7 are executed.

10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps in the method according to any one of claims 1 to 7 are executed.

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