CN116562507A - Electric bill analysis method and system - Google Patents

Abstract

The invention discloses an electric bill analysis method and system, and relates to the technical field of electric data analysis. In the electric bill analysis method provided by the invention, the month electric bill information, the maximum current month demand of the enterprise, the regional electric price information of the enterprise, the flat and valley electric consumption time periods and other basic information are acquired, then the basic electric bill can be calculated from three aspects of space saving, space saving during power adjustment and space saving during electric bill according to the acquired basic information, and the cost saving prediction value during basic electric bill, the cost saving prediction value during power adjustment and the cost saving prediction value during electric bill adjustment are respectively calculated, and finally the cost saving can be realized through analysis report summarization is generated. Therefore, the user can obtain the electric bill analysis report only after uploading the enterprise electric bill, the user does not need to consult and calculate, the operation is simple and convenient, the user can know the direction and the cost which can be saved by the enterprise electricity, and the enterprise electricity cost is saved.

Description

Electric bill analysis method and system

Technical Field

The invention relates to the technical field of electric power data analysis, in particular to an electric bill analysis method and an electric bill analysis system.

Background

The electric bill not only displays the electricity consumption of the user and the payment amount, but also is a very good electricity consumption meter. Although it is a thin electric bill, it can be the electric health examination table of the enterprise, and the information in it can be used to achieve the purpose of saving energy and money. However, most enterprises feel that the electric bill is too complex and not wanted to be seen or understood, so that the enterprises can directly pay the electric bill without carefully knowing the content in the electric bill, and the opportunity of saving the electricity cost for the enterprises is missed.

Disclosure of Invention

Aiming at the defects, the invention aims to provide an electric bill analysis method and system, so that a user can know the direction in which the power consumption of an enterprise can be saved and the cost can be saved, and the power consumption cost of the enterprise can be saved.

To achieve the object, the first aspect of the present invention discloses an electric bill analysis method, comprising the following steps:

acquiring monthly electricity charge information from an enterprise electricity charge bill, and acquiring the maximum current month demand of an enterprise, regional electricity price information of the enterprise and flat and valley electricity consumption time periods from a monitoring system;

according to month electricity charge information, the maximum current month demand of an enterprise, regional electricity price information of the enterprise and flat and valley electricity consumption time periods, calculating a basic electricity charge energy-saving charge prediction value, a power charge energy-saving charge prediction value and an electricity charge energy-saving charge prediction value from three aspects of basic electricity charge energy-saving space, power charge energy-saving space and electricity charge energy-saving space respectively; the basic electricity charge can save the predicted value of the cost, the power adjustment electricity charge can save the predicted value of the cost, the electricity degree electricity charge can save the predicted value of the cost and sum, get the predicted value of the total cost;

Generating an analysis report, wherein the analysis report comprises a total cost-saving predictive value, a basic electricity cost-saving predictive value, a power-adjusting electricity cost-saving predictive value and an electricity degree electricity cost-saving predictive value.

Optionally, in the first aspect of the present invention, the monthly electricity rate information includes an electricity type, an electricity rate package type, a transformer capacity, and a current month basic electricity rate; the electricity price information includes a capacity charge unit price and a demand charge unit price;

calculating a predicted value of the basic electricity charge which can save the charge comprises the following steps:

judging whether the electricity type is large industrial electricity, if not, the predicted value of the basic electricity charge which can save the cost is zero; if yes, the following steps are carried out:

judging whether the electric charge package type is charged according to the capacity of the transformer or not:

if yes, calculating the basic electric charge charged according to the demand, and comparing the basic electric charge charged according to the demand with the basic electric charge in the current month; if the basic electric charge charged according to the demand is smaller than the basic electric charge in the current month, the basic electric charge can save the predicted value of the charge as the difference value of the basic electric charge and the predicted value of the charge; otherwise, the predicted value of the basic electricity charge can be zero; the calculation formula of the basic electric charge charged according to the demand is as follows: basic electricity fee charged according to the demand = maximum demand of the enterprise in the month x price unit price of the demand;

If not, calculating the basic electric charge charged according to the transformer capacity, and comparing the basic electric charge charged according to the transformer capacity with the basic electric charge in the current month; if the basic electric charge charged according to the transformer capacity is smaller than the basic electric charge in the current month, the basic electric charge can save the predicted value of the charge as the difference value of the basic electric charge and the predicted value of the charge; otherwise, the predicted value of the basic electricity charge can be zero; the calculation formula of the basic electricity charge charged according to the transformer capacity is as follows: basic electricity charge for charging per transformer capacity = transformer capacity x capacity charge unit price.

Optionally, in the first aspect of the present invention, the monthly electricity rate information further includes industry type, time-sharing electricity rate, and force-adjusting electricity rate; the time-sharing electricity charge comprises the electricity charge of the enterprise in four electricity utilization periods of the current month, the peak, the flat and the valley;

the power adjustment electricity fee calculation method can save a fee prediction value and comprises the following steps:

determining an industrial power adjustment electricity charge duty ratio reference value according to the industrial type;

summing the electricity fees of the enterprise in the four electricity utilization periods of the current month, the peak, the flat and the valley to obtain electricity degree electricity fees;

calculating the enterprise power electricity rate duty ratio according to the power electricity rate, the current month basic electricity rate and the electricity degree electricity rate, wherein the enterprise power electricity rate duty ratio formula is as follows: power adjustment electricity fee/(current month basic electricity fee + electricity degree electricity fee);

Judging whether the power adjustment electric charge duty ratio of the enterprise is larger than the power adjustment electric charge duty ratio reference value of the enterprise; if yes, calculating the power adjustment electricity fee can save the cost proportion; wherein: the formula of the power adjustment electricity fee ratio capable of saving cost is as follows: the power-adjusting electricity fee can save the cost proportion = the industrial power-adjusting electricity fee duty ratio reference value-the enterprise power-adjusting electricity fee duty ratio;

the power adjustment electricity fee can be calculated according to the power adjustment electricity fee, so that the cost proportion, the basic electricity fee in the current month and the predicted cost value can be saved; the formula of the predicted value of the power adjustment electricity fee capable of saving the fee is as follows: power-transfer electricity charge can save the predicted value of cost= | (power-transfer electricity charge can save the proportion of cost× (basic electricity charge in the month + electricity charge))|;

if not, the predicted value of the power-regulating electricity fee can be zero.

Optionally, in the first aspect of the present invention, the monthly electricity fee information further includes time-sharing electricity quantity, and the time-sharing electricity quantity includes electricity quantity of four electricity utilization periods of the enterprise, namely, a month point, a peak, a flat and a valley; the electricity price information also includes peak section electricity price, flat section electricity price and valley Duan Dianjia;

the electricity rate calculation can save the predicted value of the cost, comprising the following steps:

determining a peak period duty ratio reference value of the industry according to the industry type;

calculating peak duty ratio according to the time-sharing electric quantity; wherein, the peak duty ratio formula is: peak duty ratio= (peak electric quantity+peak electric quantity)/(peak electric quantity+peak electric quantity+flat electric quantity+valley Duan Dianliang);

Judging whether the peak duty ratio is larger than the peak period duty ratio reference value of the industry, if not, the electricity degree and electricity charge can be saved, and the predicted value is zero; if yes, the following steps are carried out:

summing the electric quantity of the enterprise in the four electricity utilization periods of the current month, the peak, the flat and the valley to obtain the total electric quantity;

the electric quantity can be calculated according to the peak duty ratio and the peak period duty ratio reference value of the industry, so that the proportion can be saved; the calculation formula of the electric quantity saving ratio is as follows: power saving ratio = peak duty cycle-current industry peak period duty cycle reference value;

calculating a flat section transferable duration duty ratio and a valley section transferable duration duty ratio according to the flat and valley electricity consumption time periods, wherein the calculation formula of the flat section transferable duration duty ratio is as follows: flat transferable length ratio = flat length/(flat length + valley Duan Shichang); the calculation formula of the valley section transferable duration ratio is as follows: valley transferable length ratio = valley Duan Shichang/(plateau length + valley Duan Shichang);

calculating electricity charge according to the electricity saving proportion, the flat section transferable time length occupying rate, the valley section transferable time length occupying rate, the total electricity consumption, the peak section electricity price, the flat section electricity price and the valley section electricity price and predicting cost saving; wherein, electricity charge can be saved prediction = electricity charge can be saved proportion x flat section transferable time length is occupied by x total electricity consumption (peak section electricity price-flat section electricity price) +electricity charge can be saved proportion x valley section transferable time length is occupied by x total electricity consumption (peak section electricity price-valley Duan Dianjia).

The second aspect of the invention discloses an electric bill analysis system which is applied to the electric bill analysis method in the first aspect of the invention, and comprises an acquisition module, a calculation module and an analysis report generation module;

the acquisition module is used for acquiring month electricity fee information from an enterprise electricity fee list, and acquiring the maximum current month demand of an enterprise, the regional electricity price information of the enterprise and the flat and valley electricity consumption time period from a monitoring system;

the calculation module is used for calculating a basic electricity charge-saving cost prediction value, a power-saving electricity charge-saving cost prediction value and an electricity charge-saving cost prediction value from three aspects of basic electricity charge-saving space, power-saving electricity charge-saving space and electricity charge-saving space according to month electricity charge information, the maximum current month demand of an enterprise, regional electricity price information of the enterprise and flat and valley electricity consumption time periods; the basic electricity charge can save the predicted value of the cost, the power adjustment electricity charge can save the predicted value of the cost, the electricity degree electricity charge can save the predicted value of the cost and sum, get the predicted value of the total cost;

the analysis report generation module is used for generating an analysis report, wherein the analysis report comprises a total cost-saving predicted value, a basic electricity cost-saving predicted value, a power-adjustment electricity cost-saving predicted value and an electricity cost-saving predicted value.

Optionally, in the second aspect of the present invention, the monthly electricity rate information includes an electricity type, an electricity rate package type, a transformer capacity, and a current month basic electricity rate; the electricity price information includes a capacity charge unit price and a demand charge unit price; the computing module comprises a first computing unit for executing the following steps:

judging whether the electricity type is large industrial electricity, if not, the predicted value of the basic electricity charge which can save the cost is zero; if yes, executing the following steps:

judging whether the electric charge package type is charged according to the capacity of the transformer or not:

if yes, calculating the basic electric charge charged according to the demand, and comparing the basic electric charge charged according to the demand with the basic electric charge in the current month; if the basic electric charge charged according to the demand is smaller than the basic electric charge in the current month, the basic electric charge can save the predicted value of the charge as the difference value of the basic electric charge and the predicted value of the charge; otherwise, the predicted value of the basic electricity charge can be zero; the calculation formula of the basic electric charge charged according to the demand is as follows: basic electricity fee charged according to the demand = maximum demand of the enterprise in the month x price unit price of the demand;

if not, calculating the basic electric charge charged according to the transformer capacity, and comparing the basic electric charge charged according to the transformer capacity with the basic electric charge in the current month; if the basic electric charge charged according to the transformer capacity is smaller than the basic electric charge in the current month, the basic electric charge can save the predicted value of the charge as the difference value of the basic electric charge and the predicted value of the charge; otherwise, the predicted value of the basic electricity charge can be zero; the calculation formula of the basic electricity charge charged according to the transformer capacity is as follows: basic electricity charge for charging per transformer capacity = transformer capacity x capacity charge unit price.

Optionally, in the second aspect of the present invention, the monthly electric charge information further includes industry type, time-sharing electric charge and force-adjusting electric charge; the time-sharing electricity charge comprises the electricity charge of the enterprise in four electricity utilization periods of the current month, the peak, the flat and the valley; the computing module further comprises a second computing unit; the second calculation unit is used for executing the following steps:

determining an industrial power adjustment electricity charge duty ratio reference value according to the industrial type;

summing the electricity fees of the enterprise in the four electricity utilization periods of the current month, the peak, the flat and the valley to obtain electricity degree electricity fees;

calculating the enterprise power electricity rate duty ratio according to the power electricity rate, the current month basic electricity rate and the electricity degree electricity rate, wherein the enterprise power electricity rate duty ratio formula is as follows: power adjustment electricity fee/(current month basic electricity fee + electricity degree electricity fee);

judging whether the power adjustment electric charge duty ratio of the enterprise is larger than the power adjustment electric charge duty ratio reference value of the enterprise; if yes, calculating the power adjustment electricity fee can save the cost proportion; wherein: the formula of the power adjustment electricity fee ratio capable of saving cost is as follows: the power-adjusting electricity fee can save the cost proportion = the industrial power-adjusting electricity fee duty ratio reference value-the enterprise power-adjusting electricity fee duty ratio;

the power adjustment electricity fee can be calculated according to the power adjustment electricity fee, so that the cost proportion, the basic electricity fee in the current month and the predicted cost value can be saved; the formula of the predicted value of the power adjustment electricity fee capable of saving the fee is as follows: power-transfer electricity charge can save the predicted value of cost= | (power-transfer electricity charge can save the proportion of cost× (basic electricity charge in the month + electricity charge))|;

If not, the predicted value of the power-regulating electricity fee can be zero.

Optionally, in the second aspect of the present invention, the monthly electricity fee information further includes time-sharing electricity quantity, where the time-sharing electricity quantity includes electricity quantity of four electricity consumption periods of the enterprise, namely, a month point, a peak, a flat and a valley; the electricity price information also includes peak section electricity price, flat section electricity price and valley Duan Dianjia; the computing module further comprises a third computing unit; the third calculation unit is used for executing the following steps:

determining a peak period duty ratio reference value of the industry according to the industry type;

calculating peak duty ratio according to the time-sharing electric quantity; wherein, the peak duty ratio formula is: peak duty ratio= (peak electric quantity+peak electric quantity)/(peak electric quantity+peak electric quantity+flat electric quantity+valley Duan Dianliang);

judging whether the peak duty ratio is larger than the peak period duty ratio reference value of the industry, if not, the electricity degree and electricity charge can be saved, and the predicted value is zero; if yes, executing the following steps:

summing the electric quantity of the enterprise in the four electricity utilization periods of the current month, the peak, the flat and the valley to obtain the total electric quantity;

the electric quantity can be calculated according to the peak duty ratio and the peak period duty ratio reference value of the industry, so that the proportion can be saved; the calculation formula of the electric quantity saving ratio is as follows: power saving ratio = peak duty cycle-current industry peak period duty cycle reference value;

Calculating a flat section transferable duration duty ratio and a valley section transferable duration duty ratio according to the flat and valley electricity consumption time periods, wherein the calculation formula of the flat section transferable duration duty ratio is as follows: flat transferable length ratio = flat length/(flat length + valley Duan Shichang); the calculation formula of the valley section transferable duration ratio is as follows: valley transferable length ratio = valley Duan Shichang/(plateau length + valley Duan Shichang);

calculating electricity charge according to the electricity saving proportion, the flat section transferable time length occupying rate, the valley section transferable time length occupying rate, the total electricity consumption, the peak section electricity price, the flat section electricity price and the valley section electricity price and predicting cost saving; wherein, electricity charge can be saved prediction = electricity charge can be saved proportion x flat section transferable time length is occupied by x total electricity consumption (peak section electricity price-flat section electricity price) +electricity charge can be saved proportion x valley section transferable time length is occupied by x total electricity consumption (peak section electricity price-valley Duan Dianjia).

A third aspect of the invention discloses an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of the first aspect of the invention when executing the program.

A fourth aspect of the invention discloses a computer readable storage medium having stored thereon a computer program which when executed by a processor implements the method of the first aspect of the invention.

The technical scheme provided by the invention can comprise the following beneficial effects:

in the electric bill analysis method provided by the invention, the month electric bill information, the maximum current month demand of the enterprise, the regional electric price information of the enterprise, the flat and valley electric consumption time periods and other basic information are acquired, and then the basic electric bill energy-saving cost prediction value, the power electric bill energy-saving cost prediction value and the electric bill energy-saving cost prediction value are respectively calculated according to the acquired basic information from three aspects of basic electric bill energy-saving space, power electric bill energy-saving space and electric bill energy-saving space, and finally the analysis report summarized cost can be generated. Therefore, the user can obtain the electric bill analysis report only after uploading the enterprise electric bill, the user does not need to consult and calculate, the operation is simple and convenient, the user can know the direction and the cost which can be saved by the enterprise electricity, and the enterprise electricity cost is saved.

Drawings

FIG. 1 is a flow chart of an electric bill analysis method according to an embodiment of the present invention;

FIG. 2 is a flow chart of calculating a base electricity rate-saving rate prediction value according to an embodiment of the present invention;

FIG. 3 is a flow chart of calculating a predicted value of power rate and electricity rate savings in an embodiment of the invention;

FIG. 4 is a flow chart of calculating a predicted value of electricity rate and cost savings in one embodiment of the present invention;

FIG. 5 is a schematic diagram of an analysis report in one embodiment of the invention;

FIG. 6 is a schematic diagram of an electric bill analysis system in one embodiment of the invention;

fig. 7 is a schematic structural diagram of an electronic device in an embodiment of the invention.

Detailed Description

Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are exemplary only for the purpose of illustrating the present application and are not to be construed as limiting the present application.

As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless expressly stated otherwise, as understood by those skilled in the art. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. The term "and/or" as used herein includes all or any element and all combination of one or more of the associated listed items.

For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

The following describes in detail, with specific embodiments, a technical solution of an embodiment of the present application and how the technical solution of the embodiment of the present application solves the foregoing technical problems. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.

Example 1

As shown in fig. 1, the present invention provides an electric bill analysis method, which is performed by a computer device, which may be a terminal or a server. The terminal may be a desktop device or a mobile terminal. The servers may be separate physical servers, clusters of physical servers, or virtual servers.

The electric bill analysis method comprises the following steps:

step S1: and acquiring month electricity charge information from the enterprise electricity charge bill, and acquiring the maximum current month demand of the enterprise, the regional electricity price information of the enterprise and the peak, flat and valley electricity consumption time periods from the monitoring system. Optionally, in some practical applications, the user may take a photograph of the enterprise electric bill, then upload the enterprise electric bill picture to the terminal, and the terminal identifies the corresponding monthly electric bill information according to the uploaded enterprise electric bill. Further, the monitoring system stores data such as maximum current month demand of enterprises, regional electricity price information of the enterprises, peak, flat and valley electricity utilization period and the like. And the terminal reads the electricity consumption data of the enterprise in the monitoring system, and can acquire the maximum current month demand of the enterprise, the regional electricity price information of the enterprise and the electricity consumption time periods of the peak, the flat and the valley.

Step S2: according to month electricity charge information, the maximum current month demand of the enterprise, the regional electricity price information of the enterprise and the flat and valley electricity consumption time periods, a basic electricity charge energy-saving cost prediction value, a power electricity charge energy-saving cost prediction value and an electricity charge energy-saving cost prediction value are calculated from the three aspects of basic electricity charge energy-saving space, power electricity charge energy-saving space and electricity charge energy-saving space respectively. The basic electricity charge can save the predicted value of the cost, the power adjustment electricity charge can save the predicted value of the cost, the electricity degree electricity charge can save the predicted value of the cost and sum, get the predicted value of the total cost.

Step S3: generating an analysis report, wherein the analysis report comprises a total cost-saving predictive value, a basic electricity cost-saving predictive value, a power-adjusting electricity cost-saving predictive value and an electricity degree electricity cost-saving predictive value. Specifically, FIG. 5 illustrates an analysis report of one embodiment of the present invention. As shown in FIG. 5, the analysis report includes a total savings cost prediction value, a basic electricity rate savings cost prediction value, a power adjustment electricity rate savings cost prediction value, and an electricity rate savings cost prediction value.

In the electric bill analysis method provided by the invention, the month electric bill information, the maximum current month demand of the enterprise, the regional electric price information of the enterprise, the flat and valley electric consumption time periods and other basic information are acquired, and then the basic electric bill energy-saving cost prediction value, the power electric bill energy-saving cost prediction value and the electric bill energy-saving cost prediction value are respectively calculated according to the acquired basic information from three aspects of basic electric bill energy-saving space, power electric bill energy-saving space and electric bill energy-saving space, and finally the analysis report summarized cost can be generated. Therefore, the user can obtain the electric bill analysis report only after uploading the enterprise electric bill, the user does not need to consult and calculate, the operation is simple and convenient, the user can know the direction and the cost which can be saved by the enterprise electricity, and the enterprise electricity cost is saved.

As an alternative embodiment, the monthly electricity rate information includes electricity type, electricity rate package type, transformer capacity, and current month basic electricity rate. The electricity rate information includes a capacity charge unit price and a demand charge unit price. Specifically, there are two types of electric rate packages, one is to charge on demand and the other is to charge on transformer capacity.

As shown in fig. 2, calculating the basic electricity fee may save the fee prediction value, including the steps of:

step A1: judging whether the electricity type is large industrial electricity, if not, the basic electricity charge can save the predicted value of the charge to be zero. If yes, the following steps are carried out:

step A2: judging whether the electric charge package type is charged according to the capacity of the transformer or not:

if yes, calculating the basic electric charge charged according to the demand, and comparing the basic electric charge charged according to the demand with the basic electric charge in the current month. If the basic electric charge charged according to the demand is smaller than the basic electric charge in the current month, the basic electric charge can be saved, and the predicted value of the cost is the difference value of the basic electric charge and the predicted value of the current month. Otherwise, the basic electricity fee may save the fee prediction value to be zero. The calculation formula of the basic electric charge charged according to the demand is as follows: basic electricity fee charged on demand = maximum demand per month of the business x price per price of the demand.

If not, calculating the basic electric charge charged according to the transformer capacity, and comparing the basic electric charge charged according to the transformer capacity with the basic electric charge in the current month. If the basic electricity charge charged according to the transformer capacity is smaller than the basic electricity charge in the current month, the basic electricity charge can be saved by the difference value of the two predicted values. Otherwise, the basic electricity fee may save the fee prediction value to be zero. The calculation formula of the basic electricity charge charged according to the transformer capacity is as follows: basic electricity charge for charging per transformer capacity = transformer capacity x capacity charge unit price.

In this embodiment, by comparing the basic electric charges charged according to the required amount with the basic electric charges charged according to the transformer capacity, it is determined which electric charge package type of the basic electric charges is lower, and the calculation of the predicted value of the basic electric charges in terms of space saving of the basic electric charges is realized.

As an alternative embodiment, the monthly electricity rate information further includes industry type, time-sharing electricity rate, and power rate. The time-sharing electricity charge comprises four electricity consumption periods of the enterprise in the current month, peak, flat and valley.

As shown in fig. 3, the calculation of the power adjustment electricity fee may save a fee prediction value, which includes the following steps:

step B1: and determining the industrial power adjustment electricity charge duty ratio reference value according to the industrial type. Specifically, the industry spike period duty cycle reference may be obtained from data published by some authoritative website, such as a local industry association. Of course, the average value may be calculated according to the user data of the same industry, and the present invention is not limited in particular.

Step B2: and summing the electricity charges of the enterprise in the four electricity utilization periods of the current month, the peak, the flat and the valley to obtain the electricity degree electricity charge.

Step B3: calculating the enterprise power electricity rate duty ratio according to the power electricity rate, the current month basic electricity rate and the electricity degree electricity rate, wherein the enterprise power electricity rate duty ratio formula is as follows: power adjustment electricity fee/(current month basic electricity fee + electricity degree electricity fee);

step B4: judging whether the power adjustment electric charge duty ratio of the enterprise is larger than the power adjustment electric charge duty ratio reference value of the enterprise; if yes, calculating the power adjustment electricity fee can save the cost proportion; wherein: the formula of the power adjustment electricity fee ratio capable of saving cost is as follows: the power-adjusting electricity fee can save the cost proportion = the industrial power-adjusting electricity fee duty ratio reference value-the enterprise power-adjusting electricity fee duty ratio;

the power adjustment electricity fee can be calculated according to the power adjustment electricity fee, so that the cost proportion, the basic electricity fee in the current month and the predicted cost value can be saved; the formula of the predicted value of the power adjustment electricity fee capable of saving the fee is as follows: power-transfer electricity charge can save the predicted value of cost= | (power-transfer electricity charge can save the proportion of cost× (basic electricity charge in the month + electricity charge))|;

if not, the predicted value of the power-regulating electricity fee can be zero.

Therefore, the power adjustment electricity fee can be calculated from the aspect of saving space, and the predicted value of the power adjustment electricity fee can be saved. When the power regulation electricity charge is negative, representing rewards; and the power charge is positive, which represents fine. In a specific application embodiment, if the industrial power rate reference value is-0.75 and the calculated industrial power rate is-0.45, at this time, the industrial power rate reference value is smaller than the industrial power rate reference value, which indicates that the enterprise still has a further improvement space on the rewards of the industrial power rate, so that the electric rate can be further saved.

If the industrial power electricity charge duty ratio reference value is 0.35 and the calculated industrial power electricity charge duty ratio is 0.75, at this time, the industrial power electricity charge duty ratio reference value is smaller than the industrial power electricity charge duty ratio, the enterprise is indicated to have a further reduced space on the fine of the industrial power electricity charge, so that the electric charge can be further saved.

The power adjustment electricity fee can be obtained by subtracting the enterprise power adjustment electricity fee duty ratio from the industrial power adjustment electricity fee duty ratio reference value, and the cost proportion can be saved. Because the power-adjusting electricity fee saving rate is a negative value, the absolute value of the result of the power-adjusting electricity fee saving rate x (the basic electricity fee in the current month+the electricity fee) is carried out, so that the predicted value of the power-adjusting electricity fee saving rate is a positive value.

As an alternative embodiment, the monthly electricity fee information further includes time-sharing electricity quantity, and the time-sharing electricity quantity includes electricity quantity of four electricity utilization periods of the enterprise, namely, the current month, the peak, the flat and the valley. The electricity rate information also includes peak electricity rates, flat electricity rates, and valleys Duan Dianjia.

As shown in fig. 4, calculating the electricity rate may save the predicted value of the cost, including the steps of:

step C1: and determining the peak period duty ratio reference value of the industry according to the industry type. Specifically, the industry spike period duty cycle reference may be obtained from data published by some authoritative website, such as a local industry association. Of course, the average value may be calculated according to the user data of the same industry, and the present invention is not limited in particular.

Step C2: and calculating the peak duty ratio according to the time-sharing electric quantity. Wherein, the peak duty ratio formula is: peak duty ratio= (peak electric quantity+peak electric quantity)/(peak electric quantity+peak electric quantity+flat electric quantity+valley Duan Dianliang).

Step C3: judging whether the peak duty ratio is larger than the peak period duty ratio reference value of the industry, if not, the electricity degree and electricity charge can be saved, and the cost prediction value is zero. If yes, the following steps are carried out:

step C4: and summing the electric quantity of the enterprise in the four electricity utilization periods of the current month, the peak, the flat and the valley to obtain the total electric quantity.

Step C5: the power can be saved in proportion to the peak duty ratio calculated according to the peak period duty ratio reference value of the industry. The calculation formula of the electric quantity saving ratio is as follows: power savings ratio = peak duty cycle-current industry peak period duty cycle reference.

Step C6: calculating a flat section transferable duration duty ratio and a valley section transferable duration duty ratio according to the flat and valley electricity consumption time periods, wherein the calculation formula of the flat section transferable duration duty ratio is as follows: flat transferable length ratio = flat length/(flat length + valley Duan Shichang). The calculation formula of the valley section transferable duration ratio is as follows: valley period transferable duration ratio = valley Duan Shichang/(plateau duration + valley Duan Shichang).

Step C7: the electricity charge can be predicted by calculating the electricity charge according to the electricity saving proportion, the flat section transferable time length occupying rate, the valley section transferable time length occupying rate, the total electricity consumption, the peak section electricity price, the flat section electricity price and the valley section electricity price. Wherein, electricity charge can be saved prediction = electricity charge can be saved proportion x flat section transferable time length is occupied by x total electricity consumption (peak section electricity price-flat section electricity price) +electricity charge can be saved proportion x valley section transferable time length is occupied by x total electricity consumption (peak section electricity price-valley Duan Dianjia).

In this embodiment, the electricity consumption prediction value is calculated from the aspect that the electricity consumption can be saved in space by adjusting the partial electricity consumption of the peak electricity consumption period to the flat valley period so as to predict the electricity consumption.

Example two

As shown in fig. 6, the present invention discloses an electricity bill analysis system, which is applied to the electricity bill analysis method of the first embodiment, and the system includes an acquisition module 100, a calculation module 200 and an analysis report generation module 300.

The obtaining module 100 is configured to obtain monthly electricity fee information from an enterprise electricity fee list, and obtain the maximum current month demand of the enterprise, the regional electricity price information of the enterprise, and the peak, flat, and valley electricity consumption periods from the monitoring system.

The calculation module 200 is configured to calculate a base electric charge-saving cost prediction value, a force-adjusting electric charge-saving cost prediction value, and an electric charge-saving cost prediction value from three aspects of a base electric charge-saving space, a force-adjusting electric charge-saving space, and an electric charge-saving space according to month electric charge information, a maximum current month demand of an enterprise, regional electric charge information of the enterprise, and flat and valley electric time periods. The basic electricity charge can save the predicted value of the cost, the power adjustment electricity charge can save the predicted value of the cost, the electricity degree electricity charge can save the predicted value of the cost and sum, get the predicted value of the total cost.

The analysis report generation module 300 is configured to generate an analysis report, where the analysis report includes a total savings cost prediction value, a basic electricity rate savings cost prediction value, a power adjustment electricity rate savings cost prediction value, and an electricity rate savings cost prediction value.

In the electric bill analysis system provided by the invention, the acquisition module is used for acquiring the month electric bill information, the maximum current month demand of the enterprise, the regional electric price information of the enterprise, the flat and valley electric consumption period and other basic information, the calculation module is used for respectively calculating the basic electric bill and the electric bill prediction value according to the acquired basic information from three aspects of space saving, space saving during power adjustment and space saving during electric bill, the power adjustment and electric bill prediction value and the electric bill and finally the analysis report generation module is used for generating the analysis report summarization and the electric bill can be saved. Therefore, the user can obtain the electric bill analysis report only after uploading the enterprise electric bill, the user does not need to consult and calculate, the operation is simple and convenient, the user can know the direction and the cost which can be saved by the enterprise electricity, and the enterprise electricity cost is saved.

Optionally, the monthly electricity rate information includes electricity type, electricity rate package type, transformer capacity, and current month basic electricity rate. The electricity rate information includes a capacity charge unit price and a demand charge unit price. The computing module 200 comprises a first computing unit for performing the steps of:

judging whether the electricity type is large industrial electricity, if not, the basic electricity charge can save the predicted value of the charge to be zero. If yes, executing the following steps:

judging whether the electric charge package type is charged according to the capacity of the transformer or not:

if yes, calculating the basic electric charge charged according to the demand, and comparing the basic electric charge charged according to the demand with the basic electric charge in the current month. If the basic electric charge charged according to the demand is smaller than the basic electric charge in the current month, the basic electric charge can be saved, and the predicted value of the cost is the difference value of the basic electric charge and the predicted value of the current month. Otherwise, the basic electricity fee may save the fee prediction value to be zero. The calculation formula of the basic electric charge charged according to the demand is as follows: basic electricity fee charged on demand = maximum demand per month of the business x price per price of the demand.

If not, calculating the basic electric charge charged according to the transformer capacity, and comparing the basic electric charge charged according to the transformer capacity with the basic electric charge in the current month. If the basic electricity charge charged according to the transformer capacity is smaller than the basic electricity charge in the current month, the basic electricity charge can be saved by the difference value of the two predicted values. Otherwise, the basic electricity fee may save the fee prediction value to be zero. The calculation formula of the basic electricity charge charged according to the transformer capacity is as follows: basic electricity charge for charging per transformer capacity = transformer capacity x capacity charge unit price.

In this embodiment, by comparing the basic electric charges charged according to the required amount with the basic electric charges charged according to the transformer capacity, it is determined which electric charge package type of the basic electric charges is lower, and the calculation of the predicted value of the basic electric charges in terms of space saving of the basic electric charges is realized.

Optionally, the monthly electricity fee information further includes industry type, time-sharing electricity fee and power-adjusting electricity fee. The time-sharing electricity charge comprises four electricity consumption periods of the enterprise in the current month, peak, flat and valley. The computing module 200 further includes a second computing unit. The second calculation unit is used for executing the following steps:

and determining the industrial power adjustment electricity charge duty ratio reference value according to the industrial type.

And summing the electricity charges of the enterprise in the four electricity utilization periods of the current month, the peak, the flat and the valley to obtain the electricity degree electricity charge.

Calculating the enterprise power electricity rate duty ratio according to the power electricity rate, the current month basic electricity rate and the electricity degree electricity rate, wherein the enterprise power electricity rate duty ratio formula is as follows: power adjustment electricity fee/(current month basic electricity fee + electricity degree electricity fee).

Judging whether the power adjustment electric charge duty ratio of the enterprise is larger than the power adjustment electric charge duty ratio reference value of the enterprise; if yes, calculating the power adjustment electricity fee can save the cost proportion; wherein: the formula of the power adjustment electricity fee ratio capable of saving cost is as follows: the power-adjusting electricity fee can save the cost proportion = the industrial power-adjusting electricity fee duty ratio reference value-the enterprise power-adjusting electricity fee duty ratio;

The power adjustment electricity fee can be calculated according to the power adjustment electricity fee, so that the cost proportion, the basic electricity fee in the current month and the predicted cost value can be saved; the formula of the predicted value of the power adjustment electricity fee capable of saving the fee is as follows: power-transfer electricity charge can save the predicted value of cost= | (power-transfer electricity charge can save the proportion of cost× (basic electricity charge in the month + electricity charge))|;

if not, the predicted value of the power-regulating electricity fee can be zero.

Therefore, the power adjustment electricity fee can be calculated from the aspect of saving space, and the predicted value of the power adjustment electricity fee can be saved.

Optionally, the monthly electricity fee information further includes time-sharing electricity quantity, and the time-sharing electricity quantity includes electricity quantity of four electricity utilization periods of the enterprise when the month is pointed, peaks, flat and valleys. The electricity rate information also includes peak electricity rates, flat electricity rates, and valleys Duan Dianjia. The computing module 200 further includes a third computing unit. The third calculation unit is used for executing the following steps:

and determining the peak period duty ratio reference value of the industry according to the industry type.

And calculating the peak duty ratio according to the time-sharing electric quantity. Wherein, the peak duty ratio formula is: peak duty ratio= (peak electric quantity+peak electric quantity)/(peak electric quantity+peak electric quantity+flat electric quantity+valley Duan Dianliang).

Judging whether the peak duty ratio is larger than the peak period duty ratio reference value of the industry, if not, the electricity degree and electricity charge can be saved, and the cost prediction value is zero. If yes, executing the following steps:

And summing the electric quantity of the enterprise in the four electricity utilization periods of the current month, the peak, the flat and the valley to obtain the total electric quantity.

The power can be saved in proportion to the peak duty ratio calculated according to the peak period duty ratio reference value of the industry. The calculation formula of the electric quantity saving ratio is as follows: power savings ratio = peak duty cycle-current industry peak period duty cycle reference.

Calculating a flat section transferable duration duty ratio and a valley section transferable duration duty ratio according to the flat and valley electricity consumption time periods, wherein the calculation formula of the flat section transferable duration duty ratio is as follows: flat transferable length ratio = flat length/(flat length + valley Duan Shichang). The calculation formula of the valley section transferable duration ratio is as follows: valley period transferable duration ratio = valley Duan Shichang/(plateau duration + valley Duan Shichang).

The electricity charge can be predicted by calculating the electricity charge according to the electricity saving proportion, the flat section transferable time length occupying rate, the valley section transferable time length occupying rate, the total electricity consumption, the peak section electricity price, the flat section electricity price and the valley section electricity price. Wherein, electricity charge can be saved prediction = electricity charge can be saved proportion x flat section transferable time length is occupied by x total electricity consumption (peak section electricity price-flat section electricity price) +electricity charge can be saved proportion x valley section transferable time length is occupied by x total electricity consumption (peak section electricity price-valley Duan Dianjia).

In this embodiment, the electricity consumption prediction value is calculated from the aspect that the electricity consumption can be saved in space by adjusting the partial electricity consumption of the peak electricity consumption period to the flat valley period so as to predict the electricity consumption.

Example III

Referring to fig. 7, fig. 7 is a schematic structural diagram of another electronic device according to an embodiment of the invention. The electronic device may include:

a memory 400 storing executable program code.

A processor 500 coupled to the memory.

The processor 500 invokes executable program codes stored in the memory 400 to perform steps in the electric bill analysis method according to the embodiment of the present invention.

Example IV

The embodiment of the invention discloses a computer storage medium which stores computer instructions for executing the steps in the electric bill analysis method disclosed in the first embodiment of the invention when the computer instructions are called.

The apparatus embodiments described above are merely illustrative, wherein the modules illustrated as separate components may or may not be physically separate, and the components shown as modules may or may not be physical, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.

From the above detailed description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in a software product that may be stored in a computer-readable storage medium including Read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read Only Memory, PROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), one-time programmable Read-Only Memory (One-time Programmable Read Only Memory, OTPROM), electrically erasable rewritable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic tape Memory, or any other medium readable by a computer that can be used to carry or store data.

Finally, it should be noted that: the method and system for analyzing the electric bill disclosed by the embodiment of the invention are disclosed as the preferred embodiment of the invention, and are only used for illustrating the technical scheme of the invention, but are not limited to the technical scheme. Although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will appreciate that the invention may be practiced with other than the described embodiments. The technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by others. Such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims (10)

1. An electric bill analysis method is characterized in that: the method comprises the following steps:

acquiring monthly electricity charge information from an enterprise electricity charge bill; obtaining the maximum current month demand of the enterprise, the regional electricity price information of the enterprise and the flat and valley electricity consumption time period from the monitoring system;

according to month electricity charge information, the maximum current month demand of an enterprise, regional electricity price information of the enterprise and flat and valley electricity consumption time periods, calculating a basic electricity charge energy-saving charge prediction value, a power charge energy-saving charge prediction value and an electricity charge energy-saving charge prediction value from three aspects of basic electricity charge energy-saving space, power charge energy-saving space and electricity charge energy-saving space respectively; the basic electricity charge can save the predicted value of the cost, the power adjustment electricity charge can save the predicted value of the cost, the electricity degree electricity charge can save the predicted value of the cost and sum, get the predicted value of the total cost;

Generating an analysis report including the total savings cost prediction value, the basic electricity rate savings cost prediction value, the power adjustment electricity rate savings cost prediction value, and the electricity rate savings cost prediction value.

2. The electric bill analysis method according to claim 1, wherein: the monthly electricity fee information comprises electricity type, electricity fee package type, transformer capacity and current month basic electricity fee; the electricity rate information includes a capacity charge unit price and a demand charge unit price;

calculating a predicted value of the basic electricity charge which can save the charge comprises the following steps:

judging whether the electricity type is large industrial electricity, if not, the predicted value of the basic electricity charge which can save the cost is zero; if yes, the following steps are carried out:

judging whether the electric charge package type is charged according to the capacity of the transformer or not:

if yes, calculating the basic electric charge charged according to the demand, and comparing the basic electric charge charged according to the demand with the basic electric charge in the current month; if the basic electric charge charged according to the demand is smaller than the basic electric charge in the current month, the basic electric charge can save the predicted value of the charge as the difference value of the basic electric charge and the predicted value of the charge; otherwise, the predicted value of the basic electricity charge can be zero; the calculation formula of the basic electric charge charged according to the demand is as follows: basic electricity fee charged according to the demand = maximum demand of the enterprise in the month x price unit price of the demand;

If not, calculating the basic electric charge charged according to the transformer capacity, and comparing the basic electric charge charged according to the transformer capacity with the basic electric charge in the current month; if the basic electric charge charged according to the transformer capacity is smaller than the basic electric charge in the current month, the basic electric charge can save the predicted value of the charge as the difference value of the basic electric charge and the predicted value of the charge; otherwise, the predicted value of the basic electricity charge can be zero; the calculation formula of the basic electricity charge charged according to the transformer capacity is as follows: basic electricity charge for charging per transformer capacity = transformer capacity x capacity charge unit price.

3. The electric bill analysis method according to claim 2, wherein: the monthly electricity charge information also comprises industry types, time-sharing electricity charges and power adjustment electricity charges; the time-sharing electricity charge comprises the electricity charge of the enterprise in four electricity utilization periods of the current month, the peak, the flat and the valley;

the power adjustment electricity fee calculation method can save a fee prediction value and comprises the following steps:

determining an industrial power adjustment electricity charge duty ratio reference value according to the industrial type;

summing the electricity fees of the enterprise in the four electricity utilization periods of the current month, the peak, the flat and the valley to obtain electricity degree electricity fees;

calculating the enterprise power electricity rate duty ratio according to the power electricity rate, the current month basic electricity rate and the electricity degree electricity rate, wherein the enterprise power electricity rate duty ratio formula is as follows: power adjustment electricity fee/(current month basic electricity fee + electricity degree electricity fee);

Judging whether the power adjustment electric charge duty ratio of the enterprise is larger than the power adjustment electric charge duty ratio reference value of the enterprise; if yes, calculating the power adjustment electricity fee can save the cost proportion; wherein: the formula of the power adjustment electricity fee ratio capable of saving cost is as follows: the power-adjusting electricity fee can save the cost proportion = the industrial power-adjusting electricity fee duty ratio reference value-the enterprise power-adjusting electricity fee duty ratio;

the power adjustment electricity fee can be calculated according to the power adjustment electricity fee, so that the cost proportion, the basic electricity fee in the current month and the predicted cost value can be saved; the formula of the predicted value of the power adjustment electricity fee capable of saving the fee is as follows: power-transfer electricity charge can save the predicted value of cost= | (power-transfer electricity charge can save the proportion of cost× (basic electricity charge in the month + electricity charge))|;

if not, the predicted value of the power-regulating electricity fee can be zero.

4. An electric bill analysis method according to claim 3, wherein: the monthly electricity charge information also comprises time-sharing electricity quantity, wherein the time-sharing electricity quantity comprises the electricity quantity of four electricity utilization periods of the current month, peak, flat and valley of an enterprise; the electricity price information also comprises peak section electricity price, flat section electricity price and valley Duan Dianjia;

the electricity rate calculation can save the predicted value of the cost, comprising the following steps:

determining a peak period duty ratio reference value of the industry according to the industry type;

Calculating peak duty ratio according to the time-sharing electric quantity; wherein, the peak duty ratio formula is: peak duty ratio= (peak electric quantity+peak electric quantity)/(peak electric quantity+peak electric quantity+flat electric quantity+valley Duan Dianliang);

judging whether the peak duty ratio is larger than the peak period duty ratio reference value of the industry, if not, the electricity degree and electricity charge can be saved, and the predicted value is zero; if yes, the following steps are carried out:

summing the electric quantity of the enterprise in the four electricity utilization periods of the current month, the peak, the flat and the valley to obtain the total electric quantity;

the electric quantity can be calculated according to the peak duty ratio and the peak period duty ratio reference value of the industry, so that the proportion can be saved; the calculation formula of the electric quantity saving ratio is as follows: power saving ratio = peak duty cycle-current industry peak period duty cycle reference value;

calculating a flat section transferable duration duty ratio and a valley section transferable duration duty ratio according to the flat and valley electricity consumption time periods, wherein the calculation formula of the flat section transferable duration duty ratio is as follows: flat transferable length ratio = flat length/(flat length + valley Duan Shichang); the calculation formula of the valley section transferable duration ratio is as follows: valley transferable length ratio = valley Duan Shichang/(plateau length + valley Duan Shichang);

calculating electricity charge according to the electricity saving proportion, the flat section transferable time length occupying rate, the valley section transferable time length occupying rate, the total electricity consumption, the peak section electricity price, the flat section electricity price and the valley section electricity price and predicting cost saving; wherein, electricity charge can be saved prediction = electricity charge can be saved proportion x flat section transferable time length is occupied by x total electricity consumption (peak section electricity price-flat section electricity price) +electricity charge can be saved proportion x valley section transferable time length is occupied by x total electricity consumption (peak section electricity price-valley Duan Dianjia).

5. An electric bill analysis system, which is characterized in that: the electric bill analysis method applied to any one of claims 1 to 4, wherein the system comprises an acquisition module, a calculation module and an analysis report generation module;

the acquisition module is used for acquiring month electricity fee information from an enterprise electricity fee list, and acquiring the maximum current month demand of an enterprise, the regional electricity price information of the enterprise and the flat and valley electricity consumption time period from a monitoring system;

the calculation module is used for calculating a basic electricity charge-saving cost prediction value, a power-saving electricity charge-saving cost prediction value and an electricity charge-saving cost prediction value from three aspects of basic electricity charge-saving space, power-saving electricity charge-saving space and electricity charge-saving space according to month electricity charge information, the maximum current month demand of an enterprise, regional electricity price information of the enterprise and flat and valley electricity consumption time periods; the basic electricity charge can save the predicted value of the cost, the power adjustment electricity charge can save the predicted value of the cost, the electricity degree electricity charge can save the predicted value of the cost and sum, get the predicted value of the total cost;

the analysis report generation module is used for generating an analysis report, wherein the analysis report comprises a total cost-saving predicted value, a basic electricity cost-saving predicted value, a power-adjustment electricity cost-saving predicted value and an electricity degree electricity cost-saving predicted value.

6. An electric bill analysis system according to claim 5, wherein: the monthly electricity fee information comprises electricity type, electricity fee package type, transformer capacity and current month basic electricity fee; the electricity rate information includes a capacity charge unit price and a demand charge unit price; the computing module comprises a first computing unit for performing the steps of:

judging whether the electricity type is large industrial electricity, if not, the predicted value of the basic electricity charge which can save the cost is zero; if yes, executing the following steps:

judging whether the electric charge package type is charged according to the capacity of the transformer or not:

if yes, calculating the basic electric charge charged according to the demand, and comparing the basic electric charge charged according to the demand with the basic electric charge in the current month; if the basic electric charge charged according to the demand is smaller than the basic electric charge in the current month, the basic electric charge can save the predicted value of the charge as the difference value of the basic electric charge and the predicted value of the charge; otherwise, the predicted value of the basic electricity charge can be zero; the calculation formula of the basic electric charge charged according to the demand is as follows: basic electricity fee charged according to the demand = maximum demand of the enterprise in the month x price unit price of the demand;

if not, calculating the basic electric charge charged according to the transformer capacity, and comparing the basic electric charge charged according to the transformer capacity with the basic electric charge in the current month; if the basic electric charge charged according to the transformer capacity is smaller than the basic electric charge in the current month, the basic electric charge can save the predicted value of the charge as the difference value of the basic electric charge and the predicted value of the charge; otherwise, the predicted value of the basic electricity charge can be zero; the calculation formula of the basic electricity charge charged according to the transformer capacity is as follows: basic electricity charge for charging per transformer capacity = transformer capacity x capacity charge unit price.

7. The electric bill analysis system according to claim 6, wherein: the monthly electricity charge information also comprises industry types, time-sharing electricity charges and power adjustment electricity charges; the time-sharing electricity charge comprises the electricity charge of the enterprise in four electricity utilization periods of the current month, the peak, the flat and the valley; the computing module further comprises a second computing unit; the second computing unit is configured to perform the steps of:

determining an industrial power adjustment electricity charge duty ratio reference value according to the industrial type;

summing the electricity fees of the enterprise in the four electricity utilization periods of the current month, the peak, the flat and the valley to obtain electricity degree electricity fees;

calculating the enterprise power electricity rate duty ratio according to the power electricity rate, the current month basic electricity rate and the electricity degree electricity rate, wherein the enterprise power electricity rate duty ratio formula is as follows: power adjustment electricity fee/(current month basic electricity fee + electricity degree electricity fee);

judging whether the power adjustment electric charge duty ratio of the enterprise is larger than the power adjustment electric charge duty ratio reference value of the enterprise; if yes, calculating the power adjustment electricity fee can save the cost proportion; wherein: the formula of the power adjustment electricity fee ratio capable of saving cost is as follows: the power-adjusting electricity fee can save the cost proportion = the industrial power-adjusting electricity fee duty ratio reference value-the enterprise power-adjusting electricity fee duty ratio;

the power adjustment electricity fee can be calculated according to the power adjustment electricity fee, so that the cost proportion, the basic electricity fee in the current month and the predicted cost value can be saved; the formula of the predicted value of the power adjustment electricity fee capable of saving the fee is as follows: power-transfer electricity charge can save the predicted value of cost= | (power-transfer electricity charge can save the proportion of cost× (basic electricity charge in the month + electricity charge))|;

If not, the predicted value of the power-regulating electricity fee can be zero.

8. The electric bill analysis system according to claim 7, wherein: the monthly electricity charge information also comprises time-sharing electricity quantity, wherein the time-sharing electricity quantity comprises the electricity quantity of four electricity utilization periods of the current month, peak, flat and valley of an enterprise; the electricity price information also comprises peak section electricity price, flat section electricity price and valley Duan Dianjia; the computing module further comprises a third computing unit; the third computing unit is configured to perform the following steps:

determining a peak period duty ratio reference value of the industry according to the industry type;

calculating peak duty ratio according to the time-sharing electric quantity; wherein, the peak duty ratio formula is: peak duty ratio= (peak electric quantity+peak electric quantity)/(peak electric quantity+peak electric quantity+flat electric quantity+valley Duan Dianliang);

judging whether the peak duty ratio is larger than the peak period duty ratio reference value of the industry, if not, the electricity degree and electricity charge can be saved, and the predicted value is zero; if yes, executing the following steps:

summing the electric quantity of the enterprise in the four electricity utilization periods of the current month, the peak, the flat and the valley to obtain the total electric quantity;

the electric quantity can be calculated according to the peak duty ratio and the peak period duty ratio reference value of the industry, so that the proportion can be saved; the calculation formula of the electric quantity saving ratio is as follows: power saving ratio = peak duty cycle-current industry peak period duty cycle reference value;

Calculating a flat section transferable duration duty ratio and a valley section transferable duration duty ratio according to the flat and valley electricity consumption time periods, wherein the calculation formula of the flat section transferable duration duty ratio is as follows: flat transferable length ratio = flat length/(flat length + valley Duan Shichang); the calculation formula of the valley section transferable duration ratio is as follows: valley transferable length ratio = valley Duan Shichang/(plateau length + valley Duan Shichang);

calculating electricity charge according to the electricity saving proportion, the flat section transferable time length occupying rate, the valley section transferable time length occupying rate, the total electricity consumption, the peak section electricity price, the flat section electricity price and the valley section electricity price and predicting cost saving; wherein, electricity charge can be saved prediction = electricity charge can be saved proportion x flat section transferable time length is occupied by x total electricity consumption (peak section electricity price-flat section electricity price) +electricity charge can be saved proportion x valley section transferable time length is occupied by x total electricity consumption (peak section electricity price-valley Duan Dianjia).

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 1-4 when executing the program.

10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the method of any of claims 1-4.