CN115471145A - Enterprise energy consumption double-control management method, device and medium - Google Patents
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Abstract
The application discloses an enterprise energy consumption double-control management method, equipment and a medium, and belongs to the technical field of data processing methods based on prediction purposes. The method comprises the following steps: receiving energy consumption indexes issued by government departments, and determining energy consumption precalculated values respectively corresponding to enterprises in a preset time period according to the energy consumption indexes; generating an energy consumption budget curve corresponding to the enterprise according to the energy consumption budget value; acquiring first energy consumption values respectively corresponding to enterprises in a preset time period, and predicting a future second energy consumption value according to the first energy consumption values to obtain an energy consumption use curve obtained by fitting the first energy consumption value and the second energy consumption value; and early warning the energy consumption of the enterprise according to the difference between the energy consumption budget curve and the energy consumption use curve.
Description
Technical Field
The application relates to the technical field of data processing methods based on prediction purposes, in particular to an enterprise energy consumption double-control management method, equipment and a medium.
Background
Along with the change of global climate, the reasonable control of energy consumption is helpful for promoting the realization of carbon neutralization target reaching carbon standards so as to achieve the effects of energy conservation and emission reduction, so the double control (hereinafter referred to as energy consumption double control) work of the total energy consumption and the intensity is more and more emphasized.
However, in the development process of energy consumption dual-control work, an enterprise generally controls the energy consumption amount according to energy consumption indexes issued by government departments, but due to the lack of data monitoring and early warning processes for energy consumption data, the enterprise easily exceeds originally planned energy consumption indexes in the production process, so that annual energy use planning of the enterprise is influenced, and adverse effects are caused to the development of work.
Disclosure of Invention
In order to solve the above problem, the present application provides an enterprise energy consumption dual-control management method, including:
receiving energy consumption indexes issued by government departments, and determining energy consumption budget values respectively corresponding to enterprises in a preset time period according to the energy consumption indexes;
generating an energy consumption budget curve corresponding to the enterprise according to the energy consumption budget value;
acquiring first energy consumption values respectively corresponding to the enterprises in the preset time period, and predicting a future second energy consumption value according to the first energy consumption value to obtain an energy consumption usage curve obtained by fitting the first energy consumption value and the second energy consumption value;
and early warning the energy consumption of the enterprise according to the difference value between the energy consumption budget curve and the energy consumption use curve.
In an implementation manner of the present application, predicting a future second energy consumption value according to the first energy consumption value to obtain an energy consumption usage curve obtained by fitting the first energy consumption value and the second energy consumption value, specifically includes:
determining a current first energy consumption value corresponding to a specified time period in the first energy consumption values; the specified time period is a time period before the current time;
determining a first time interval corresponding to the current first energy consumption value according to the current first energy consumption value, wherein the first time interval is selected among a plurality of time periods in the future of the current moment, and the first time interval is in negative correlation with the current first energy consumption value;
respectively obtaining a plurality of second energy consumption values corresponding to the plurality of time periods according to a preset prediction mode;
and fitting to obtain an energy consumption use curve according to the first energy consumption value and the plurality of second energy consumption values.
In an implementation manner of the present application, according to a preset prediction manner, a plurality of second energy consumption values corresponding to the plurality of time periods are obtained respectively, and the method specifically includes:
respectively matching the designated time period and the plurality of time periods with a preset prediction cycle to determine a first prediction cycle corresponding to the designated time period and a second prediction cycle corresponding to the plurality of time periods; the prediction period is divided according to energy consumption influence factors, wherein the energy consumption influence factors at least comprise any one or more of the following factors: the order quantity, season and industry quotation of enterprises;
under the condition that the first prediction period is the same as the second prediction period, determining the reporting time corresponding to the current first energy consumption value, and comparing the reporting time with a preset critical time;
if the reporting time is less than the critical time, predicting second energy consumption values corresponding to the time periods by the following formula:
wherein,
a second energy consumption value corresponding to the nth time period,
the energy consumption value corresponding to the last time period of the nth time period,
the energy consumption parameter is corresponding to the nth time slot;
if the reporting time is greater than the critical time, predicting to obtain a plurality of corresponding second energy consumption values according to historical first energy consumption values corresponding to the plurality of time periods;
and under the condition that the first prediction period is different from the second prediction period, obtaining a plurality of second energy consumption values corresponding to the plurality of time periods through a preset multiple linear regression model.
In an implementation manner of the present application, according to the first energy consumption value and the plurality of second energy consumption values, an energy consumption usage curve is obtained by fitting, which specifically includes:
determining second time intervals corresponding to the plurality of second energy consumption values respectively, wherein the second time intervals are in negative correlation with the second energy consumption values;
sequencing the time periods respectively corresponding to the plurality of second energy consumption values to obtain corresponding time period sequences;
updating the time interval between adjacent time periods in the time period sequence to a second time interval corresponding to a previous time period in the adjacent time periods to obtain a plurality of updated target time periods;
and according to the updated first energy consumption values corresponding to the target time periods, predicting again to obtain corresponding second energy consumption values, and according to the second energy consumption values, fitting to obtain an energy consumption use curve.
In an implementation manner of the present application, determining, according to the energy consumption index, energy consumption budget values respectively corresponding to the enterprises within a preset time period specifically include:
determining energy consumption ratios respectively corresponding to the enterprises in the preset time period according to the industry types of the enterprises;
determining energy consumption budget values respectively corresponding to the enterprises in a preset time period through the following formula:
wherein,
the energy consumption budget value corresponding to the x time period of the enterprise is obtained;
the energy consumption ratio corresponding to the x time period of the enterprise is obtained; m is timeThe number of time segments; f is the energy consumption index.
In an implementation manner of the present application, the early warning of the energy consumption of the enterprise according to the difference between the energy consumption budget curve and the energy consumption usage curve specifically includes:
determining a difference value of the energy consumption budget curve and the energy consumption usage curve in the same time period in the future, and comparing the difference value with a preset difference value to determine whether the difference value is greater than the preset difference value;
if so, respectively determining corresponding speed increasing rates of the energy consumption budget curve and the energy consumption use curve which are positioned in the same future time period;
and if the acceleration corresponding to the energy consumption usage curve is larger than the acceleration corresponding to the energy consumption budget curve, performing early warning to enable the enterprise to adjust the energy consumption usage in the corresponding time period.
In one implementation of the present application, the enterprise energy consumption index includes an energy consumption index, a coal consumption index, a unit industry added value energy consumption index,
after obtaining the first energy consumption values respectively corresponding to the enterprises in the preset time period, the method further includes:
determining an industry energy consumption category corresponding to the enterprise; the industry energy consumption category at least comprises coal enterprises and coal-free enterprises;
respectively reporting the corresponding first energy consumption values to the government departments according to different industry energy consumption categories; the first energy consumption value corresponding to the coal-using enterprise comprises energy consumption, coal consumption and unit industry added value energy consumption, and the first energy consumption value corresponding to the coal-not-using enterprise comprises energy consumption and unit industry added value energy consumption.
In one implementation of the present application, the method further comprises:
and acquiring the index transaction information issued by the government department so that the enterprise obtains the transaction progress of the relevant index according to the index transaction information.
The embodiment of the application provides an enterprise energy consumption double-control management device, which is characterized by comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
receiving energy consumption indexes issued by government departments, and determining energy consumption precalculated values respectively corresponding to enterprises in a preset time period according to the energy consumption indexes;
generating an energy consumption budget curve corresponding to the enterprise according to the energy consumption budget value;
acquiring first energy consumption values respectively corresponding to the enterprises in the preset time period, and predicting a future second energy consumption value according to the first energy consumption value to obtain an energy consumption usage curve obtained by fitting the first energy consumption value and the second energy consumption value;
and early warning the energy consumption of the enterprise according to the difference value between the energy consumption budget curve and the energy consumption use curve.
An embodiment of the present application provides a non-volatile computer storage medium, which stores computer-executable instructions, where the computer-executable instructions are configured to:
receiving energy consumption indexes issued by government departments, and determining energy consumption budget values respectively corresponding to enterprises in a preset time period according to the energy consumption indexes;
generating an energy consumption budget curve corresponding to the enterprise according to the energy consumption budget value;
acquiring first energy consumption values respectively corresponding to the enterprises in the preset time period, and predicting a future second energy consumption value according to the first energy consumption value to obtain an energy consumption usage curve obtained by fitting the first energy consumption value and the second energy consumption value;
and early warning the energy consumption of the enterprise according to the difference value between the energy consumption budget curve and the energy consumption use curve.
The enterprise energy consumption double-control management method provided by the application can bring the following beneficial effects:
according to the energy consumption indexes issued by government departments, the self energy consumption budget values of the enterprises are divided, so that the reasonability of energy consumption index distribution can be improved; the future second energy consumption value is predicted according to the first energy consumption value of the enterprise, the energy consumption service condition of the enterprise within a future period of time can be estimated, the energy consumption service condition of the enterprise can be pre-warned in advance by comparing the energy consumption service condition of the enterprise with the energy consumption budget, and the influence on the overall energy consumption planning of the enterprise due to untimely pre-warning is prevented.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic flowchart of an enterprise energy consumption dual-control management method according to an embodiment of the present application;
fig. 2 is a schematic diagram of an energy consumption dual-control management cloud platform according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an enterprise energy consumption dual-control management device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only a few embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
As shown in fig. 1, an enterprise energy consumption double-control management method provided in an embodiment of the present application includes:
101: and receiving energy consumption indexes issued by government departments, and determining energy consumption budget values respectively corresponding to the enterprises in a preset time period according to the energy consumption indexes.
As shown in fig. 2, an embodiment of the application provides an energy consumption dual-control management cloud platform, which includes nine major modules, such as policy notification, energy consumption budget, data reporting, energy consumption early warning, energy efficiency evaluation, index transaction, data analysis, credit management, enterprise management, and the like, and is used for continuously and efficiently performing power-assisted regional energy consumption dual-control work. Enterprises can timely acquire information such as energy efficiency evaluation results, energy consumption total amount and intensity, coal consumption total amount control targets, energy consumption credit evaluation results, policy notices, index transactions and the like of all levels of government departments through the platform; and timely reporting data such as energy consumption, coal consumption, unit industry added value energy consumption and the like, mastering early warning conditions such as total energy consumption and intensity of enterprises, coal consumption and the like in real time, and realizing the combing and analysis of self energy consumption items and current energy consumption situations.
The energy consumption index that the platform rear end server was assigned can be acquireed to carry out rational planning according to the energy consumption index to the energy consumption value of enterprise, obtain the energy consumption budget value that corresponds respectively in the time quantum of predetermineeing, in the actual production process, report the energy consumption value that the enterprise produced in real time, through this platform real-time supervision energy consumption in service behavior, and in time carry out the early warning under the condition that the energy consumption in service behavior surpasss the energy consumption budget value, and then in time adjust subsequent energy consumption and use the planning. It should be noted that the enterprise energy consumption index includes energy consumption index, coal consumption index, and unit industry added value energy consumption index.
In one embodiment, the energy consumption index refers to total energy consumption, and therefore, after receiving the energy consumption index, the enterprise needs to determine the energy consumption budget values respectively corresponding to the energy consumption index within the preset time period according to its own energy consumption plan. It is understood that the energy consumption budget value is a maximum value of the energy consumption value that can be used by the enterprise in a time period, and the time period can be divided according to actual needs, for example, quarterly, monthly, weekly, etc., which is not specifically limited in this application.
Specifically, according to the industry category of the enterprise, energy consumption ratios respectively corresponding to the enterprise within a preset time period are determined. The energy consumption ratio is used for measuring the proportion of energy consumption used by an enterprise to total energy consumption.
Further, the energy consumption budget values respectively corresponding to the enterprises in the preset time period are determined through the following formulas:
wherein,
a corresponding energy consumption precalculated value of the enterprise in the xth time period is obtained;
the energy consumption ratio corresponding to the x time period of the enterprise is obtained; m is the number of time periods; f is an energy consumption index.
102: and generating an energy consumption budget curve corresponding to the enterprise according to the energy consumption budget value.
After the energy consumption budget value corresponding to each time period of enterprise planning is obtained, the server can generate an energy consumption budget curve corresponding to the enterprise according to the energy consumption budget value of enterprise planning. Wherein the energy consumption budget curve is used for representing the upper energy consumption usage limit of the enterprise.
103: and acquiring first energy consumption values respectively corresponding to the enterprises in a preset time period, and predicting a future second energy consumption value according to the first energy consumption value to obtain an energy consumption use curve obtained by fitting the first energy consumption value and the second energy consumption value.
In the development work of the energy consumption double control work, an enterprise not only needs to implement production activities according to the planned energy consumption value, but also needs to monitor the energy consumption data in real time to determine whether the energy consumption data exceeds the energy consumption budget value.
In one embodiment, first energy consumption values corresponding to the enterprises in a preset time period are obtained, and the first energy consumption values represent actual energy consumption values of the enterprises, which are substantially the sum of the actual energy consumption values generated by the enterprises in a plurality of time periods. After the first energy consumption value is obtained, a future second energy consumption value can be predicted, so that an energy consumption usage curve of the enterprise is obtained through fitting of the first energy consumption value and the second energy consumption value, the energy consumption usage curve is compared with an energy consumption budget curve, and whether the actual energy consumption value of the enterprise exceeds the budget is determined.
It should be noted that after the first energy consumption value of the enterprise is obtained, it needs to be reported to the government department in a summary manner, and for different types of enterprises, the energy consumption values to be reported are also different. In the embodiment of the application, energy consumption is used as a general term of various energy consumption, and the industry energy consumption category corresponding to the enterprise needs to be determined, wherein the industry energy consumption category at least comprises coal-using enterprises and coal-non-using enterprises. And respectively reporting the corresponding first energy consumption values to government departments according to different industry energy consumption categories. The first energy consumption value corresponding to the coal-using enterprise comprises energy consumption, coal consumption and unit industry added value energy consumption, and the first energy consumption value corresponding to the coal-not-using enterprise comprises energy consumption and unit industry added value energy consumption.
Specifically, a current first energy consumption value corresponding to a specified time period in the first energy consumption values is determined; the designated time period is a time period before the current time. After the current first energy consumption value is obtained, the first time interval corresponding to the current first energy consumption value can be determined according to the mapping relation between the preset energy consumption value and the time interval. It should be noted that the first time interval is an interval between a plurality of time periods in the future of the selected current time, the first time interval is in negative correlation with the current first energy consumption value, in other words, the higher the energy consumption value is, the greater the probability that the enterprise exceeds the energy consumption budget value is, when performing early warning analysis on the enterprise, the more intensive time periods should be used for analysis, so as to ensure the accuracy of an analysis result, and at this time, the first time interval corresponding to the plurality of time periods is kept fixed.
Further, since the energy consumption of the enterprise is usually affected by energy consumption influencing factors such as the amount of orders of the enterprise, seasons, industry quotations, and relevant policies, there may be some errors in the second energy consumption value predicted only by the generated first energy consumption value. Therefore, for the above energy consumption influencing factors, in the embodiment of the present application, different prediction modes are adopted to obtain a plurality of second energy consumption values corresponding to a plurality of time periods respectively.
Firstly, a designated time period and a plurality of time periods are respectively matched with a preset prediction cycle to determine a first prediction cycle corresponding to the designated time period and a second prediction cycle corresponding to the plurality of time periods. It should be noted that the prediction period is divided according to the order quantity of the enterprise, the season, the market and the policy of the enterprise, for example, for seasonal production enterprises, the energy consumption required in light and high season is different, so the prediction period can be divided into specific time intervals according to the light season and high season. Of course, the prediction period is not fixed, and can be adjusted in real time according to the requirements of enterprises in the actual production process.
If the first prediction period is the same as the second prediction period, it is indicated that factors capable of influencing enterprise energy consumption are consistent with the specified time periods in a plurality of time periods in the future, and at the moment, the second energy consumption value can be predicted according to the first energy consumption value.
However, different enterprises start to use the platform at different times, and the historical energy consumption data stored in the platform server is correspondingly different, so that a specific prediction mode needs to be further determined according to the reporting time and the critical time of the first energy consumption value.
Determining the reporting time corresponding to the current first energy consumption value, and if the reporting time is less than the critical time, predicting second energy consumption values corresponding to a plurality of time periods by the following formula:
wherein,
a second energy consumption value corresponding to the nth time period,
the energy consumption value corresponding to the last time period of the nth time period,
the energy consumption parameter is corresponding to the nth time period.
If the reporting time is longer than the critical time, predicting to obtain a plurality of corresponding second energy consumption values according to the historical first energy consumption values corresponding to a plurality of time periods.
For example, if the threshold is set to one year, there is no historical energy consumption data for the past year for an enterprise using the platform for three months, and the future second energy consumption value can be predicted based on the first energy consumption value generated in the previous three months. Taking the second energy consumption value predicted in april as an example, the predicted value in 4 months =3 monthly history data (1 + ((2 monthly history data-1 monthly history data)/1 monthly history data + (3 monthly history data-2 monthly history data)/2), and the energy consumption parameter
Can be calculated according to the first energy consumption value. For enterprises using the platform for more than one year, when second energy consumption values corresponding to a plurality of time periods are determined, historical first energy consumption values in the time periods corresponding to the last year can be directly used as the second energy consumption values, and for enterprises using the platform for more than two years, historical energy consumption data of the last year, which are closest to the current time, can be used as a basis for determining the second energy consumption values.
Under the condition that the first prediction period is different from the second prediction period, the fact that factors capable of influencing enterprise energy consumption are inconsistent with the specified time periods in a plurality of time periods in the future is shown, the second energy consumption value cannot be predicted accurately only according to the first energy consumption value generated historically, and at the moment, a plurality of second energy consumption values corresponding to the plurality of time periods can be obtained according to a preset multiple linear regression model.
Wherein the multiple linear regression model can be expressed as:
wherein,
representing a second energy consumption value corresponding to the nth time period,
the regression coefficient is represented by the value of the regression coefficient,
representing the energy consumption value generated corresponding to the previous time period,
representing an explanatory variable in the energy consumption influencing factor.
Further, after second energy consumption values corresponding to a plurality of time periods in the future are obtained through prediction, an energy consumption use curve can be obtained through fitting according to the first energy consumption value and the plurality of second energy consumption values.
However, as can be seen from the foregoing, the first time interval between the time periods corresponding to the energy consumption values is fixed, and in the energy consumption double control management work of the enterprise, this manner may affect the accuracy of the forecast result, because as the energy consumed by the enterprise increases, the probability that the energy consumption exceeds the originally planned energy consumption budget value is higher, and therefore, the second time intervals corresponding to the second energy consumption values are determined, and the second time intervals are negatively correlated with the second energy consumption values. It should be noted that the second time interval is not a fixed interval, each second energy consumption value corresponds to a first second time interval, and the higher the second energy consumption value is, the smaller the second time interval is.
And sequencing the time periods respectively corresponding to the plurality of second energy consumption values to obtain corresponding time period sequences. And then updating the time interval between the adjacent time periods in the time period sequence to a second time interval corresponding to the previous time period in the adjacent time periods to obtain a plurality of updated target time periods. And finally, according to the updated first energy consumption values corresponding to the target time periods, predicting again to obtain corresponding second energy consumption values, and fitting to obtain an energy consumption use curve according to the second energy consumption values. At the moment, the time interval between the time periods of the energy consumption usage curve obtained by fitting is changed from a fixed value to a variable value, so that the method can adapt to different energy consumption usage environments, and the accuracy of the prediction result is improved.
104: and early warning the energy consumption of the enterprise according to the difference between the energy consumption budget curve and the energy consumption use curve.
After the energy consumption budget curve and the energy consumption usage curve are obtained, whether the energy consumption used by the current enterprise exceeds the energy consumption budget value or not or whether the energy consumption used by the current enterprise exceeds the energy consumption budget value or not in the future can be judged according to the energy consumption difference value of the energy consumption budget curve and the energy consumption usage curve at the same time period.
Specifically, a difference value of the energy consumption budget curve and the energy consumption usage curve in the same time period in the future is determined, and the difference value is compared with a preset difference value to determine whether the difference value is larger than the preset difference value. If yes, respectively determining corresponding speed increasing rates of the energy consumption budget curve and the energy consumption use curve which are located in the same time period in the future. If the acceleration rate corresponding to the energy consumption usage curve is greater than the acceleration rate corresponding to the energy consumption budget curve, it indicates that after a certain time period in the future, the energy consumption usage value of the enterprise may exceed the energy consumption budget value, and at this time, an early warning needs to be performed to prompt the enterprise to adjust the energy consumption usage value of the corresponding time period, so as to avoid exceeding the originally planned energy consumption budget value, and ensure smooth operation.
In one embodiment, the platform can provide an index transaction module besides early warning on the energy consumption service condition of an enterprise, and the enterprise server can obtain index transaction information issued by a government department through the index transaction module, so that the enterprise obtains the transaction progress of related indexes according to the index transaction information.
In one embodiment, the policy module of the platform distributes the latest policy information issued by the province, the city and the county of the current enterprise, which is helpful for the enterprise to know the latest policy at present and the dynamic notification issued by the government in time, so as to adjust the subsequent production plan in time according to the above contents.
In one embodiment, the energy efficiency evaluation module of the platform comprises three modules of provincial level evaluation, city level evaluation and county level evaluation, and the three modules are mainly distinguished according to the comprehensive energy consumption of enterprises. The provincial-level evaluation is for enterprises with comprehensive energy consumption more than 10000tce, the city-level energy efficiency evaluation is for enterprises with comprehensive energy consumption more than 5000tce, and the county-level energy efficiency evaluation is for enterprises with comprehensive energy consumption more than 1000 tce. For enterprises with evaluation results lower than the preset level, the enterprises enter government department control lists, and new projects or production of the enterprises are limited. The enterprise can know the energy efficiency grade of the enterprise in time according to the energy efficiency evaluation result, so that the production and operation conditions of the enterprise can be adjusted in time.
In one embodiment, the data analysis module of the platform mainly performs simple summary analysis on the energy consumption budget value and the energy consumption value of the enterprise, and displays the energy consumption budget value and the energy consumption value in a line graph, a bar graph and a pie graph in a comparison mode.
In one embodiment, the credit management module of the platform is used for uploading the enterprise available credit self-evaluation report and acquiring the credit evaluation results of each government department on the platform in real time.
The above is the method embodiment proposed by the present application. Based on the same idea, one or more embodiments of the present specification further provide an apparatus and a medium corresponding to the above method.
Fig. 3 is a schematic structural diagram of an enterprise energy consumption dual control management device according to an embodiment of the present application, where the device includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to cause the at least one processor to:
receiving energy consumption indexes issued by government departments, and determining energy consumption budget values respectively corresponding to enterprises in a preset time period according to the energy consumption indexes;
generating an energy consumption budget curve corresponding to the enterprise according to the energy consumption budget value;
acquiring first energy consumption values respectively corresponding to enterprises in a preset time period, and predicting a future second energy consumption value according to the first energy consumption value to obtain an energy consumption use curve obtained by fitting the first energy consumption value and the second energy consumption value;
and early warning the energy consumption of the enterprise according to the difference between the energy consumption budget curve and the energy consumption use curve.
An embodiment of the present application provides a non-volatile computer storage medium, which stores computer-executable instructions, and is characterized in that the computer-executable instructions are configured to:
receiving energy consumption indexes issued by government departments, and determining energy consumption budget values respectively corresponding to enterprises in a preset time period according to the energy consumption indexes;
generating an energy consumption budget curve corresponding to the enterprise according to the energy consumption budget value;
acquiring first energy consumption values respectively corresponding to enterprises in a preset time period, and predicting a future second energy consumption value according to the first energy consumption value to obtain an energy consumption use curve obtained by fitting the first energy consumption value and the second energy consumption value;
and early warning the energy consumption of the enterprise according to the difference between the energy consumption budget curve and the energy consumption use curve.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the device and media embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference may be made to some descriptions of the method embodiments for relevant points.
The device and the medium provided by the embodiment of the application correspond to the method one by one, so the device and the medium also have the beneficial technical effects similar to the corresponding method.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both permanent and non-permanent, removable and non-removable media, may implement the information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that 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 a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. An enterprise energy consumption double-control management method is characterized by comprising the following steps:
receiving energy consumption indexes issued by government departments, and determining energy consumption precalculated values respectively corresponding to enterprises in a preset time period according to the energy consumption indexes;
generating an energy consumption budget curve corresponding to the enterprise according to the energy consumption budget value;
acquiring first energy consumption values respectively corresponding to the enterprises in the preset time period, and predicting a future second energy consumption value according to the first energy consumption value to obtain an energy consumption usage curve obtained by fitting the first energy consumption value and the second energy consumption value;
and early warning the energy consumption of the enterprise according to the difference value between the energy consumption budget curve and the energy consumption use curve.
2. The method according to claim 1, wherein predicting a second energy consumption value in the future according to the first energy consumption value to obtain an energy consumption usage curve obtained by fitting the first energy consumption value and the second energy consumption value, specifically comprises:
determining a current first energy consumption value corresponding to a specified time period in the first energy consumption values; the specified time period is a time period before the current time;
determining a first time interval corresponding to the current first energy consumption value according to the current first energy consumption value, wherein the first time interval is selected among a plurality of time periods in the future of the current moment, and the first time interval is in negative correlation with the current first energy consumption value;
respectively obtaining a plurality of second energy consumption values corresponding to the plurality of time periods according to a preset prediction mode;
and fitting to obtain an energy consumption use curve according to the first energy consumption value and the plurality of second energy consumption values.
3. The enterprise energy consumption double-control management method according to claim 2, wherein obtaining a plurality of second energy consumption values corresponding to the plurality of time periods respectively according to a preset prediction mode specifically includes:
respectively matching the designated time period and the plurality of time periods with a preset prediction cycle to determine a first prediction cycle corresponding to the designated time period and a second prediction cycle corresponding to the plurality of time periods; the prediction period is divided according to energy consumption influence factors, wherein the energy consumption influence factors at least comprise any one or more of the following factors: the order quantity, season and industry quotation of enterprises;
under the condition that the first prediction period is the same as the second prediction period, determining the reporting time corresponding to the current first energy consumption value, and comparing the reporting time with a preset critical time;
if the reporting time is less than the critical time, predicting second energy consumption values corresponding to the time periods by the following formula:
wherein,
a second energy consumption value corresponding to the nth time period,
the energy consumption value corresponding to the last time period of the nth time period,
the energy consumption parameter is corresponding to the nth time slot;
if the reporting time is greater than the critical time, predicting to obtain a plurality of corresponding second energy consumption values according to historical first energy consumption values corresponding to the plurality of time periods;
and under the condition that the first prediction period is different from the second prediction period, obtaining a plurality of second energy consumption values corresponding to the plurality of time periods through a preset multiple linear regression model.
4. The method for enterprise energy consumption double-control management according to claim 2, wherein fitting an energy consumption usage curve according to the first energy consumption value and the plurality of second energy consumption values includes:
determining second time intervals corresponding to the plurality of second energy consumption values respectively, wherein the second time intervals are in negative correlation with the second energy consumption values;
sequencing the time periods respectively corresponding to the plurality of second energy consumption values to obtain corresponding time period sequences;
updating the time interval between adjacent time periods in the time period sequence to a second time interval corresponding to a previous time period in the adjacent time periods to obtain a plurality of updated target time periods;
and according to the updated first energy consumption values corresponding to the target time periods, predicting again to obtain corresponding second energy consumption values, and fitting to obtain an energy consumption use curve according to the second energy consumption values.
5. The method according to claim 1, wherein determining energy consumption budget values respectively corresponding to the enterprises within a preset time period according to the energy consumption index comprises:
determining energy consumption ratios respectively corresponding to the enterprises in the preset time period according to the industry types of the enterprises;
determining energy consumption budget values respectively corresponding to the enterprises in a preset time period through the following formula:
wherein,
the energy consumption budget value corresponding to the x time period of the enterprise is obtained;
the energy consumption ratio corresponding to the x time period of the enterprise is obtained; m is the number of time periods; f is the energy consumption index.
6. The method according to claim 1, wherein the early warning of the energy consumption of the enterprise is performed according to the difference between the energy consumption budget curve and the energy consumption usage curve, and specifically comprises:
determining a difference value of the energy consumption budget curve and the energy consumption usage curve in the same time period in the future, and comparing the difference value with a preset difference value to determine whether the difference value is greater than the preset difference value;
if so, respectively determining corresponding speed increasing rates of the energy consumption budget curve and the energy consumption use curve which are positioned in the same future time period;
and if the acceleration corresponding to the energy consumption usage curve is larger than the acceleration corresponding to the energy consumption budget curve, performing early warning to enable the enterprise to adjust the energy consumption usage in the corresponding time period.
7. The method as claimed in claim 1, wherein the enterprise energy consumption index includes energy consumption index, coal consumption index, and energy consumption index of added value of unit industry,
after obtaining the first energy consumption values respectively corresponding to the enterprises in the preset time period, the method further includes:
determining an industry energy consumption category corresponding to the enterprise; the industry energy consumption category at least comprises coal enterprises and coal-free enterprises;
respectively reporting the corresponding first energy consumption values to the government departments according to different industry energy consumption categories; the first energy consumption value corresponding to the coal-using enterprise comprises energy consumption, coal consumption and unit industry added value energy consumption, and the first energy consumption value corresponding to the coal-not-using enterprise comprises energy consumption and unit industry added value energy consumption.
8. The method for enterprise energy consumption double-control management according to claim 1, further comprising:
and acquiring the index transaction information issued by the government department so that the enterprise obtains the transaction progress of the relevant index according to the index transaction information.
9. An enterprise energy consumption dual-control management device, comprising:
at least one processor; and (c) a second step of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
receiving energy consumption indexes issued by government departments, and determining energy consumption precalculated values respectively corresponding to enterprises in a preset time period according to the energy consumption indexes;
generating an energy consumption budget curve corresponding to the enterprise according to the energy consumption budget value;
acquiring first energy consumption values respectively corresponding to the enterprises in the preset time period, and predicting a future second energy consumption value according to the first energy consumption value to obtain an energy consumption usage curve obtained by fitting the first energy consumption value and the second energy consumption value;
and early warning the energy consumption of the enterprise according to the difference value between the energy consumption budget curve and the energy consumption use curve.
10. A non-transitory computer storage medium storing computer-executable instructions, the computer-executable instructions configured to:
receiving energy consumption indexes issued by government departments, and determining energy consumption budget values respectively corresponding to enterprises in a preset time period according to the energy consumption indexes;
generating an energy consumption budget curve corresponding to the enterprise according to the energy consumption budget value;
acquiring first energy consumption values respectively corresponding to the enterprises in the preset time period, and predicting a future second energy consumption value according to the first energy consumption value to obtain an energy consumption usage curve obtained by fitting the first energy consumption value and the second energy consumption value;
and early warning the energy consumption of the enterprise according to the difference value between the energy consumption budget curve and the energy consumption use curve.
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