CN114971696A - Quotation method based on electricity consumption and flow information uploading system - Google Patents
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Abstract
The invention discloses a quotation method based on electricity consumption and a flow information uploading system. In the invention, the output end of the processor module is connected with the input end of the data analysis module, the output end of the data output module is connected with the input end of the hard disk storage module, the output end of the cloud uploading module is connected with the input end of the cloud database module, and the virus searching and killing module is arranged in the cloud database module; after the power plant cost and benefit analysis, the cost performance analysis, the prediction analysis, the decision analysis, the comprehensive budget analysis and the cost control analysis are carried out in the data analysis module, a system uploaded with electric power market data information is formulated by combining a computer and relevant knowledge of a power plant, so that the system can conveniently acquire data, quote after the power plant is comprehensively analyzed, the quote accuracy of the method is improved, and the labor burden of workers is reduced.
Description
Technical Field
The invention belongs to the technical field of power production, and particularly relates to a quotation method based on power consumption and a flow information uploading system.
Background
With the advance of domestic electric power market reform, the actual generated energy of a new energy unit is often deviated from the competitive electric quantity of a market in the day before in electric power market transaction due to the uncertainty of the generated energy, so that the new energy unit is in a disadvantage position in competition with a traditional power plant. The virtual power plant is used as a new energy unit to participate in a new form of electric power market operation, distributed energy sources such as a distributed power supply, an energy storage system, an electric automobile and a controllable load are integrated together through a centralized control and optimization strategy, and participate in electric power market dispatching operation in a unified manner, so that coordination control among the distributed new energy units is realized, stable electric energy output of a power grid system is realized, and therefore the virtual power plant needs to quote electric quantity.
However, the common quotation method adopts manual quotation, and the basic conditions of a factory cannot be comprehensively known, so that errors are easy to generate in quotation, and meanwhile, the common quotation method lacks backup after uploading, so that the subsequent quotation method is difficult to query when the user wants to review again, and the labor burden of workers is increased.
Disclosure of Invention
The invention aims to: in order to solve the problems, a quotation method based on electricity consumption and a flow information uploading system are provided.
The technical scheme adopted by the invention is as follows: a quotation method and a flow information uploading system based on electricity consumption comprise a processor module, a power supply connection module, a data analysis module, a data output module, a cloud uploading module, a cloud database module, a human-computer interaction module, a data input module, a control module, a hard disk storage module and a virus checking and killing module, wherein the output end of the control module is connected with the input end of the data input module, the output end of the data input module is connected with the input end of the human-computer interaction module, and the output end of the human-computer interaction module is connected with the input end of the processor module;
the output end of the processor module is connected with the input end of the data analysis module, the output end of the data analysis module is connected with the input end of the data output module, the output end of the data output module is connected with the input end of the cloud uploading module, the output end of the data output module is connected with the input end of the hard disk storage module, the output end of the cloud uploading module is connected with the input end of the cloud database module, and the inside of the cloud database module is provided with the virus searching and killing module.
In a preferred embodiment, an output end of the power supply connection module is connected to input ends of the processor module and the human-computer interaction module, and the power supply connection module is electrically connected to an external power supply.
In a preferred embodiment, the quotation method inside the data analysis module comprises the following steps:
s1, dividing the electric power cost items into two categories of fixed cost and variable cost, and establishing a corresponding cost function model (Y ═ a + bx);
s2, on the basis of the variable cost method, the internal regularity relation among the variables such as fixed cost, variable cost, sales volume, on-line electricity price, electricity fee income, profit and the like is revealed by using a quantitative accounting model and a graph, and necessary financial information is provided for accounting prediction, decision making and planning;
s3, estimating and calculating the cost and expense level and the change trend thereof in the future period according to the characteristics of the cost and expense and related historical data, which is the important work of strengthening cost and expense management and digging latent energy and reducing consumption;
s4, performing production operation decision analysis and pricing decision score on the data by calculating the power generation capacity of the power plant; judging whether the decision meets the requirement of the recent power generation capacity of the power grid or not;
s5, through comprehensive budget, defining the annual work targets of the power plant, coordinating the relationship of each functional department, controlling the daily economic activities of each department, and checking the work performance of each department, scientifically arranging the annual production capital, technical improvement, scientific and technological project and cost plan of the power plant;
and S6, according to the cost items, the unit generated energy cost target which is preset under the normal power generation and effective operation conditions is achieved, the power generation cost is mainly composed of cost items such as direct materials, direct wages, manufacturing cost and the like, and the standard cost is respectively set according to the performance of different cost items by distinguishing the variable cost and the fixed cost.
In a preferred embodiment, in step S1, a fixed cost annual plan and a fixed cost monthly plan are created according to historical data by using a variable cost method; calculating unit change cost according to the annual plan and the month plan of the change cost; calculating the real-time change cost according to the real-time database data and the change cost plan number; and calculating real-time fixed cost according to the fixed cost plan number and the actual occurrence number, combining the fixed cost plan number and the actual occurrence number to calculate the total real-time cost, and calculating the real-time unit cost of the electric quantity according to the real-time electric quantity.
In a preferred embodiment, in the step S2, through the present profit analysis, the investment profit margin, the annual average return on investment, the original return on investment, the static return on investment, the net present value, the profit index and the internal profit margin can be calculated, and then the corresponding quotation strategy is made according to the production business objective.
In a preferred embodiment, in the step S3, the profit prediction is to comprehensively analyze the dependency relationship among the cost expense, the selling price, the power generation amount and the profit according to the inherent characteristics of the cost expense within a certain period of time and predict the best business model or the risk resistance of the project of the enterprise.
In a preferred embodiment, in step S4, the production operation decision can calculate, analyze and compare the evaluation indexes related to the production operation decision scheme, so as to make a general term of a series of methods for selection.
In a preferred embodiment, in the step S4, the pricing decision analysis generally considers factors such as the value of electricity, the consumption level of cost, the quality level of power supply, the form of supply and demand relationship and competition, the elasticity of price, the pricing target, the price difference and price system, the national electricity price policy, and the pricing method and policy.
In a preferred embodiment, the step S5 is executed in such a way that the budgeting is performed by first preparing a sales budget; then, sequentially compiling a production budget, a direct material acquisition budget, a direct manual budget, a manufacturing cost budget, a sales and management cost budget and the like, and compiling each special decision budget; and finally, the annual financial cost of the power plant is obtained through the financial budget.
In a preferred embodiment, the human-computer interaction module comprises an input keyboard, a handwriting input board, an operation mouse and a USB data reading device.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
1. in the invention, after the benefits analysis, the cost performance analysis, the prediction analysis, the decision analysis, the comprehensive budget analysis and the cost control analysis of the power plant are carried out in the data analysis module, a system uploaded by the electric power market data information is formulated by combining a computer and the related knowledge of the power plant, so that the system can conveniently acquire data, quote after the power plant is comprehensively analyzed, the quote accuracy of the method is improved, and the labor burden of workers is reduced.
2. According to the invention, the cloud database module can store the cloud data of the process information such as the price-keeping method and the like, so that the condition of data loss is avoided, the data is conveniently searched by subsequent people, meanwhile, the virus searching and killing module is arranged in the cloud database module, so that the cloud database module cannot be easily attacked by viruses, and the safety and the stability of the system are improved.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a flow chart of a data analysis module according to the present invention.
The labels in the figure are: the system comprises a processor module, a 2-power supply connection module, a 3-data analysis module, a 4-data output module, a 5-cloud uploading module, a 6-cloud database module, a 7-human-computer interaction module, an 8-data input module, a 9-control module, a 10-hard disk storage module and an 11-virus searching and killing module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1-2, a quotation method based on electricity consumption and a flow information uploading system comprises a processor module 1, a power supply connection module 2, a data analysis module 3, a data output module 4, a cloud uploading module 5, a cloud database module 6, a human-computer interaction module 7, a data input module 8, a control module 9, a hard disk storage module 10 and a virus searching and killing module 11, wherein the output end of the control module 9 is connected with the input end of the data input module 8, the output end of the data input module 8 is connected with the input end of the human-computer interaction module 7, and the output end of the human-computer interaction module 7 is connected with the input end of the processor module 1; the utility model provides a quotation method and flow information upload system based on power consumption, includes processor module 1, power connection module 2, data analysis module 3, data output module 4, high in the clouds upload module 5, high in the clouds database module 6, human-computer interaction module 7, data input module 8, control module 9, hard disk storage module 10, virus searching and killing module 11, its characterized in that: the output end of the control module 9 is connected with the input end of a data input module 8, the output end of the data input module 8 is connected with the input end of a human-computer interaction module 7, and the human-computer interaction module 7 comprises an input keyboard, a handwriting input board, an operation mouse and a USB data reading device; the output end of the human-computer interaction module 7 is connected with the input end of the processor module 1;
the output end of the processor module 1 is connected with the input end of the data analysis module 3, and the quotation method in the data analysis module 3 comprises the following steps:
s1, dividing the electric power cost items into two categories of fixed cost and variable cost, and establishing a corresponding cost function model (Y ═ a + bx); in step S1, a fixed cost annual plan and a fixed cost monthly plan are made according to historical data by using a variable cost method; calculating unit change cost according to the annual plan and the month plan of the change cost; calculating real-time change cost according to the real-time database data and the change cost plan number; calculating real-time fixed cost according to the fixed cost plan number and the actual occurrence number, combining the fixed cost plan number and the actual occurrence number to calculate real-time cost sum, and calculating real-time electric quantity unit cost according to real-time electric quantity;
s2, on the basis of the variable cost method, the internal regularity relation among the variables such as fixed cost, variable cost, sales volume, on-line electricity price, electricity fee income, profit and the like is revealed by using a quantitative accounting model and a graph, and necessary financial information is provided for accounting prediction, decision making and planning; in step S2, through the profit analysis, the investment profit margin, the annual average investment reward rate, the original investment recovery rate, the static investment recovery period, the net present value rate, the profit index and the internal profit rate can be calculated, and then the corresponding quotation strategy is made according to the production and management objective;
s3, estimating and calculating the cost and expense level and the change trend thereof in the future period according to the characteristics of the cost and expense and related historical data, which is the important work of strengthening cost and expense management and digging latent energy and reducing consumption; in step S3, the prediction of profit target is to comprehensively analyze the dependence relationship among the cost expense, the selling price, the generating capacity and the profit according to the inherent characteristics of the cost expense in a certain period, and predict the anti-risk capability of the best business mode or project of the enterprise;
s4, performing production operation decision analysis and pricing decision score on the data by calculating the power generation capacity of the power plant; judging whether the decision meets the requirement of the recent power generation capacity of the power grid or not; in step S4, the production operation decision can be used for calculating, analyzing and comparing evaluation indexes of relevant production operation decision schemes, and a series of selected methods are collectively called; in step S4, the pricing decision analysis generally considers factors such as electricity value, cost consumption level, power supply quality level, supply-demand relationship and competition form, price elasticity, pricing target, price difference and price system, national electricity price policy, pricing method and policy, and the like;
s5, through comprehensive budget, defining the annual work targets of the power plant, coordinating the relationship of each functional department, controlling the daily economic activities of each department, and checking the work performance of each department, scientifically arranging the annual production capital, technical improvement, scientific and technological project and cost plan of the power plant; in step S5, the budgeting is performed in such a sequence that a sales budget is first constructed; then, sequentially compiling a production budget, a direct material acquisition budget, a direct manual budget, a manufacturing cost budget, a sales and management cost budget and the like, and compiling each special decision budget; finally, the financial budget is compiled according to the service budget and the special decision budget, and the annual financial cost of the power plant is obtained through the financial budget;
s6, according to the cost project, the cost target of unit generating capacity should be reached under the condition of normal generating and effective operation, the generating cost is mainly composed of cost projects such as direct material, direct wage, manufacturing cost, etc., the variable cost and the fixed cost should be distinguished according to the performance of different cost projects, and the standard cost is respectively established; after the benefits analysis, the cost performance analysis, the prediction analysis, the decision analysis, the comprehensive budget analysis and the cost control analysis of the power plant are carried out in the data analysis module 3, a system uploaded with electric power market data information is formulated by combining a computer and relevant knowledge of the power plant, so that the system can conveniently acquire data, quote after the power plant is comprehensively analyzed, the quote accuracy of the method is improved, and the labor burden of workers is reduced;
the output end of the data analysis module 3 is connected with the input end of a data output module 4, the output end of the data output module 4 is connected with the input end of a cloud uploading module 5, the output end of the data output module 4 is connected with the input end of a hard disk storage module 10, the output end of the cloud uploading module 5 is connected with the input end of a cloud database module 6, and a virus searching and killing module 11 is arranged inside the cloud database module 6;
the output end of the processor module 1 is connected with the input end of a data analysis module 3, the output end of the data analysis module 3 is connected with the input end of a data output module 4, the output end of the data output module 4 is connected with the input end of a cloud uploading module 5, the output end of the data output module 4 is connected with the input end of a hard disk storage module 10, the output end of the cloud uploading module 5 is connected with the input end of a cloud database module 6, and a virus searching and killing module 11 is arranged inside the cloud database module 6; the cloud database module 6 can store the cloud data of the process information such as the insurance method, the data loss is avoided, subsequent people can conveniently search the data, meanwhile, the virus searching and killing module 11 is arranged inside the cloud database module 6, the cloud database module 6 cannot be easily attacked by viruses, and the safety and the stability of the system are improved.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. The utility model provides a quotation method and flow information upload system based on power consumption, includes processor module (1), power connection module (2), data analysis module (3), data output module (4), high in the clouds upload module (5), high in the clouds database module (6), human-computer interaction module (7), data input module (8), control module (9), hard disk storage module (10), virus checking and killing module (11), its characterized in that: the output end of the control module (9) is connected with the input end of the data input module (8), the output end of the data input module (8) is connected with the input end of the human-computer interaction module (7), and the output end of the human-computer interaction module (7) is connected with the input end of the processor module (1);
the output of processor module (1) is connected with the input of data analysis module (3), the output of data analysis module (3) is connected with the input of data output module (4), the output of data output module (4) is connected with the input of module (5) is uploaded in the high in the clouds, the output of data output module (4) is connected with the input of hard disk storage module (10), the output of module (5) is uploaded in the high in the clouds is connected with the input of high in the clouds database module (6), the inside of high in the clouds database module (6) is provided with virus checking and killing module (11).
2. The electricity consumption based quotation method and process information uploading system as claimed in claim 1, wherein: the output end of the power supply connection module (2) is connected with the input ends of the processor module (1) and the human-computer interaction module (7), and the power supply connection module (2) is electrically connected with an external power supply.
3. The electricity consumption based quotation method and process information uploading system as claimed in claim 1, wherein: the quotation method inside the data analysis module (3) comprises the following steps:
s1, dividing the electric power cost items into two categories of fixed cost and variable cost, and establishing a corresponding cost function model (Y ═ a + bx);
s2, on the basis of the variable cost method, the internal regularity relation among the variables such as fixed cost, variable cost, sales volume, on-line electricity price, electricity fee income, profit and the like is revealed by using a quantitative accounting model and a graph, and necessary financial information is provided for accounting prediction, decision making and planning;
s3, estimating and calculating the cost and expense level and the change trend thereof in the future period according to the characteristics of the cost and expense and related historical data, which is the important work of strengthening cost and expense management and digging latent energy and reducing consumption;
s4, performing production operation decision analysis and pricing decision score on the data by calculating the power generation capacity of the power plant; judging whether the decision meets the requirement of the recent power generation capacity of the power grid or not;
s5, through comprehensive budget, defining the annual work targets of the power plant, coordinating the relationship of each functional department, controlling the daily economic activities of each department, and checking the work performance of each department, scientifically arranging the annual production capital, technical improvement, scientific and technological project and cost plan of the power plant;
and S6, according to the cost items, the unit generated energy cost target which is preset under the normal power generation and effective operation conditions is achieved, the power generation cost is mainly composed of cost items such as direct materials, direct wages, manufacturing cost and the like, and the standard cost is respectively set according to the performance of different cost items by distinguishing the variable cost and the fixed cost.
4. The electricity consumption based quotation method and process information uploading system according to claim 3, wherein: in step S1, a fixed cost annual plan and a month plan are created based on historical data by using a variable cost method; calculating unit change cost according to the annual plan and the month plan of the change cost; calculating the real-time change cost according to the real-time database data and the change cost plan number; and calculating real-time fixed cost according to the fixed cost plan number and the actual occurrence number, combining the fixed cost plan number and the actual occurrence number to calculate the total real-time cost, and calculating the real-time unit cost of the electric quantity according to the real-time electric quantity.
5. The electricity consumption based quotation method and process information uploading system according to claim 3, wherein: in step S2, through the profit analysis, the profit margin on investment, the annual average return on investment, the original return on investment, the static return on investment, the net present value, the profit index and the internal profit margin can be calculated, and then the corresponding quotation strategy is made according to the production and management objectives.
6. The electricity consumption based quotation method and process information uploading system according to claim 3, wherein: in the step S3, the profit prediction is to comprehensively analyze the dependency relationship among the cost, selling price, generating capacity and profit according to the inherent characteristics of the cost in a certain period and predict the best business method or the risk resistance of the project of the enterprise.
7. The electricity consumption based quotation method and process information uploading system according to claim 3, wherein: in step S4, the production operation decision can be calculated, analyzed, and compared with the evaluation indexes of the production operation decision schemes, so as to make a general term of a series of selected methods.
8. The electricity consumption based quotation method and process information uploading system according to claim 3, wherein: in step S4, the pricing decision analysis generally considers factors such as the value of electricity, the consumption level of cost, the quality level of power supply, the supply-demand relationship and competition form, the elasticity of price, the pricing target, the price difference and price system, the national electricity price policy, and the pricing method and policy.
9. The electricity consumption based quotation method and the flow information uploading system according to claim 3, wherein: in step S5, the order of budget planning is to plan the sales budget first; then, sequentially compiling a production budget, a direct material acquisition budget, a direct manual budget, a manufacturing cost budget, a sales and management cost budget and the like, and simultaneously compiling various special decision budgets; and finally, the annual financial cost of the power plant is obtained through the financial budget.
10. The electricity consumption based quotation method and process information uploading system as claimed in claim 1, wherein: the man-machine interaction module (7) comprises an input keyboard, a handwriting input board, an operation mouse and USB data reading equipment.
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| CN115420863A (en) * | 2022-11-04 | 2022-12-02 | 四川瑞吉绿能科技有限公司 | Method for improving measurement accuracy of gas carbon content |
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