CN115471145B - Dual-control management method, device and medium for enterprise energy consumption - Google Patents
Dual-control management method, device and medium for enterprise energy consumption Download PDFInfo
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Abstract
The application discloses an enterprise energy consumption double-control management method, equipment and medium, and belongs to the technical field of data processing methods based on prediction purposes. The method comprises the following steps: receiving an energy consumption index issued by a government department, and determining energy consumption budget values respectively corresponding to enterprises in a preset time period according to the energy consumption index; generating an energy consumption budget curve corresponding to the enterprise according to the energy consumption budget value; respectively corresponding first energy consumption values of enterprises in a preset time period are obtained, and future second energy consumption values are predicted according to the first energy consumption values, so that an energy consumption usage curve obtained by fitting the first energy consumption values and the second energy consumption values is obtained; and carrying out early warning on the energy consumption of the enterprise according to the difference between the energy consumption budget curve and the energy consumption using 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 medium.
Background
Along with the change of global climate, reasonable control of energy consumption is helpful for promoting realization of carbon reaching the standard and carbon neutralization target so as to achieve the effects of energy conservation and emission reduction, so that double control of total energy consumption and intensity (hereinafter referred to as energy consumption double control) work is increasingly emphasized.
However, in the development process of the energy consumption double-control work, the enterprise generally controls the energy consumption according to the energy consumption index issued by the government department, but due to the lack of a data monitoring and early warning process for the energy consumption data, the enterprise easily exceeds the originally planned energy consumption index in the production process, so that the annual energy consumption planning of the enterprise is influenced, and the development of the work is adversely affected.
Disclosure of Invention
In order to solve the above problems, the present application provides an enterprise energy consumption dual-control management method, which includes:
Receiving an energy consumption index issued by a government department, and determining energy consumption budget values respectively corresponding to enterprises in a preset time period according to the energy consumption index;
generating an energy consumption budget curve corresponding to the enterprise according to the energy consumption budget value;
Obtaining first energy consumption values respectively corresponding to the enterprises in the preset time period, and predicting future second energy consumption values according to the first energy consumption values to obtain an energy consumption usage curve obtained by fitting the first energy consumption values and the second energy consumption values;
and carrying out early warning on the energy consumption of the enterprise according to the difference value between the energy consumption budget curve and the energy consumption using curve.
In one implementation manner of the present application, 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 including:
Determining a current first energy consumption value corresponding to a specified time period in the first energy consumption values; the appointed time period is the time period before the current moment;
Determining a corresponding first time interval according to the current first energy consumption value, wherein the first time interval is an interval among a plurality of time periods in the future of the selected 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 according to the first energy consumption value and the plurality of second energy consumption values to obtain an energy consumption usage curve.
In one 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 specifically includes:
Respectively matching the appointed time period and the plurality of time periods with a preset prediction period to determine a first prediction period corresponding to the appointed time period and a second prediction period corresponding to the plurality of time periods; the prediction period is divided according to energy consumption influencing factors, and the energy consumption influencing factors at least comprise any one or more of the following: enterprise order quantity, seasons and industry quotations;
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 smaller than the critical time, predicting a second energy consumption value corresponding to the plurality of time periods through the following formula:
Wherein, For a second energy consumption value corresponding to the nth time period,For the energy consumption value corresponding to the last time period of the nth time period,The energy consumption parameter corresponding to the nth time period;
If the reporting time is greater 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 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 one 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, specifically including:
Determining second time intervals corresponding to the plurality of second energy consumption values respectively, wherein the second time intervals are inversely related to the second energy consumption values;
sequencing the time periods respectively corresponding to the second energy consumption values to obtain a corresponding time period sequence;
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 re-predicting to obtain a corresponding second energy consumption value according to the first energy consumption values corresponding to the updated target time periods, so as to obtain an energy consumption usage curve by fitting according to the second energy consumption value.
In one implementation manner of the present application, according to the energy consumption index, determining the energy consumption budget value corresponding to each of the enterprises in the preset time period specifically includes:
Determining the corresponding energy consumption ratio of the enterprise in the preset time period according to the industry category of the enterprise;
determining the energy consumption budget values respectively corresponding to the enterprises in a preset time period through the following formula:
Wherein, The method comprises the steps of setting an energy consumption budget value corresponding to an x-th time period for an enterprise; The energy consumption ratio corresponding to the x-th time period of the enterprise is set; m is the number of time periods; f is the energy consumption index.
In one implementation manner of the present application, 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 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 larger than the preset difference value;
if yes, respectively determining corresponding acceleration rates of the energy consumption budget curve and the energy consumption usage curve which are positioned behind the same future time period;
and if the acceleration rate corresponding to the energy consumption utilization curve is larger than the acceleration rate corresponding to the energy consumption budget curve, early warning is carried out so that the enterprise can adjust the energy consumption utilization amount in the corresponding time period.
In one implementation of the application, the enterprise energy consumption index comprises an energy consumption index, a coal consumption index and a unit industrial increment value energy consumption index,
After obtaining the first energy consumption values respectively corresponding to the enterprises in the preset time period, the method further comprises the following steps:
Determining the industry energy consumption category corresponding to the enterprise; the industry energy consumption category at least comprises coal enterprises and non-coal enterprises;
for different industry energy consumption types, respectively reporting corresponding first energy consumption values to the government departments; the first energy consumption value corresponding to the coal-using enterprise comprises energy consumption, coal consumption and unit industrial increment value energy consumption, and the first energy consumption value corresponding to the coal-not-using enterprise comprises energy consumption and unit industrial increment value energy consumption.
In one implementation of the present application, the method further includes:
And acquiring index transaction information issued by the government department, so that the enterprise obtains the transaction progress of the related index according to the index transaction information.
The embodiment of the application provides enterprise energy consumption double-control management equipment, which is characterized by comprising the following components:
at least one processor; and
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 an energy consumption index issued by a government department, and determining energy consumption budget values respectively corresponding to enterprises in a preset time period according to the energy consumption index;
generating an energy consumption budget curve corresponding to the enterprise according to the energy consumption budget value;
Obtaining first energy consumption values respectively corresponding to the enterprises in the preset time period, and predicting future second energy consumption values according to the first energy consumption values to obtain an energy consumption usage curve obtained by fitting the first energy consumption values and the second energy consumption values;
and carrying out early warning on the energy consumption of the enterprise according to the difference value between the energy consumption budget curve and the energy consumption using curve.
An embodiment of the present application provides a nonvolatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured to:
Receiving an energy consumption index issued by a government department, and determining energy consumption budget values respectively corresponding to enterprises in a preset time period according to the energy consumption index;
generating an energy consumption budget curve corresponding to the enterprise according to the energy consumption budget value;
Obtaining first energy consumption values respectively corresponding to the enterprises in the preset time period, and predicting future second energy consumption values according to the first energy consumption values to obtain an energy consumption usage curve obtained by fitting the first energy consumption values and the second energy consumption values;
and carrying out early warning on the energy consumption of the enterprise according to the difference value between the energy consumption budget curve and the energy consumption using curve.
The enterprise energy consumption double-control management method provided by the application has the following beneficial effects:
According to the energy consumption index issued by government departments, the energy consumption budget value of the enterprise is divided, so that the rationality 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 use condition of the enterprise in a period of time in the future can be predicted, and the energy consumption of the enterprise can be early warned in advance by comparing the energy consumption use condition of the enterprise with the energy consumption budget, so that the whole energy consumption planning of the enterprise is prevented from being influenced due to untimely early warning.
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 specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a schematic flow chart of an enterprise energy consumption double 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 clearly and completely described below with reference to specific embodiments of the present application and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The following describes in detail the technical solutions provided by the embodiments of the present application with reference to the accompanying drawings.
As shown in fig. 1, the method for dual-control management of enterprise energy consumption provided by the embodiment of the application includes:
101: and receiving the energy consumption index issued by the government department, and determining the corresponding energy consumption budget values of the enterprises in the preset time period according to the energy consumption index.
As shown in fig. 2, the embodiment of the application provides an energy consumption double-control management cloud platform, which comprises nine modules including policy notification, energy consumption budget, data report, energy consumption early warning, energy efficiency evaluation, index transaction, data analysis, credit management, enterprise management and the like, and the energy consumption double-control work of a power assisting area is continuously and efficiently developed. Enterprises can timely acquire information such as energy consumption total amount and intensity, coal consumption total amount control targets, energy consumption credit evaluation results, policy notification, index transaction and the like of all government departments on energy efficiency evaluation results through the platform; and (3) regularly reporting data such as energy consumption, coal consumption, unit industrial added value energy consumption and the like, and grasping early warning conditions such as total energy consumption, strength, coal consumption and the like of enterprises in real time, so as to realize carding and analysis of self energy consumption projects and current energy consumption situations.
The platform back-end server can acquire energy consumption indexes issued by government departments, reasonably plan the energy consumption values of enterprises according to the energy consumption indexes to obtain energy consumption budget values respectively corresponding to the energy consumption indexes in a preset time period, report the energy consumption values generated by the enterprises in real time in the actual production process, monitor the energy consumption use condition in real time through the platform, and timely perform early warning under the condition that the energy consumption use condition exceeds the energy consumption budget values so as to timely adjust the subsequent energy consumption use planning. The enterprise energy consumption index comprises an energy consumption index, a coal consumption index and an increase value energy consumption index of unit industry.
In one embodiment, the energy consumption index refers to total energy consumption, so that after receiving the energy consumption index, the enterprise needs to determine the energy consumption budget value corresponding to each of the preset time periods according to its own energy consumption plan. It is understood that the energy consumption budget value is the maximum value of the energy consumption values that can be used by the enterprise in a period of time, and the period of time may be divided according to actual requirements, for example, quarterly, monthly, weekly, etc., which is not particularly limited by the present application.
Specifically, according to the industry category of the enterprise, the corresponding energy consumption ratio of the enterprise in the preset time period is determined. The energy consumption ratio is used for measuring the proportion of the total energy consumption of the enterprise.
Further, the energy consumption budget values respectively corresponding to the enterprises in the preset time period are determined through the following formula:
Wherein, The method comprises the steps of setting an energy consumption budget value corresponding to an x-th time period for an enterprise; the energy consumption ratio corresponding to the x-th time period of the enterprise is set; 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 obtaining the energy consumption budget value corresponding to each time period of the enterprise planning, the server can generate an energy consumption budget curve corresponding to the enterprise according to the energy consumption budget value of the enterprise planning. Wherein the energy consumption budget curve is used to represent the upper energy consumption usage limit of the enterprise.
103: And obtaining first energy consumption values respectively corresponding to the enterprises in a preset time period, and predicting future second energy consumption values according to the first energy consumption values to obtain an energy consumption usage curve obtained by fitting the first energy consumption values and the second energy consumption values.
In the development work of the energy consumption double-control work, enterprises not only need to implement production activities according to planned energy consumption values, but also need to monitor the energy consumption data in real time so as to determine whether the energy consumption budget value is exceeded.
In one embodiment, first energy consumption values respectively corresponding to enterprises in a preset time period are obtained, wherein the first energy consumption values represent actual energy consumption values of the enterprises, and the actual energy consumption values are substantially the sum of 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 according to the first energy consumption value, so that an energy consumption usage curve of the enterprise is obtained through fitting 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, the first energy consumption value needs to be summarized and reported to a government department, and the energy consumption values required to be reported are different for different types of enterprises. In the embodiment of the application, the energy consumption is used as a collective term for various energy consumption, the industry energy consumption type corresponding to the enterprise needs to be determined, and the industry energy consumption type at least comprises a coal-using enterprise and a coal-free enterprise. And respectively reporting the corresponding first energy consumption values to government departments aiming at different industry energy consumption types. The first energy consumption value corresponding to the coal-using enterprise comprises energy consumption, coal consumption and unit industrial increment value energy consumption, and the first energy consumption value corresponding to the coal-using enterprise comprises energy consumption and unit industrial increment value energy consumption.
Specifically, 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 preceding the current time. After the current first energy consumption value is obtained, a first time interval corresponding to the current first energy consumption value can be determined according to a 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, and the first time interval is inversely related to the current first energy consumption value, in other words, the higher the energy consumption value, the greater the probability that the enterprise exceeds the energy consumption budget value, and the more dense time periods should be analyzed when the enterprise is subjected to early warning analysis, so as to ensure the accuracy of the analysis result, and at this time, the first time interval corresponding to the plurality of time periods is kept fixed.
Further, since enterprise energy consumption is generally affected by energy consumption influencing factors such as enterprise order volume, seasons, industry quotations, and related policies, there may be some errors in the second energy consumption value predicted only from the generated first energy consumption value. Therefore, according to the energy consumption influence factors, the embodiment of the application obtains a plurality of second energy consumption values corresponding to a plurality of time periods respectively by adopting different prediction modes.
Firstly, respectively matching a specified time period and a plurality of time periods with preset prediction periods to determine a first prediction period corresponding to the specified time period and a second prediction period 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, and the market conditions and policies of the industry where the enterprise is located, for example, the energy consumption required in the light season is different for the seasonal production enterprise, so that the prediction period can be divided into specific time periods according to the light season and the strong season. Of course, the prediction period is not fixed, and can be adjusted in real time according to the enterprise demand in the actual production process.
If the first prediction period is the same as the second prediction period, it indicates that in a plurality of future time periods, the factors that can affect the enterprise energy consumption are consistent with the designated time period, and at this time, the second energy consumption value can be predicted according to the first energy consumption value.
However, the time when different enterprises start to use the platform is different, and the historical energy consumption data stored in the platform server is correspondingly different, so that a specific prediction mode needs to be determined further 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 smaller than the critical time, predicting second energy consumption values corresponding to a plurality of time periods through the following formula:
Wherein, For a second energy consumption value corresponding to the nth time period,For the energy consumption value corresponding to the last time period of the nth time period,And the energy consumption parameter corresponding to the nth time period.
If the reporting time is greater 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 the plurality of time periods.
For example, the threshold is set to one year, then for an enterprise using the platform for three months, there is no historical energy consumption data for the past year, at which time a future second energy consumption value can be predicted based on the first energy consumption value generated for the first three months. Taking the second energy consumption value of month four as an example, the predicted value of 4 months=3 month history data (1+ ((2 month history data-1 month history data)/1 month history data+ (3 month history data-2 month history data)/2)), the energy consumption parameterCan be calculated from the first energy consumption value. For enterprises using the platform for more than one year, when determining the second energy consumption values corresponding to a plurality of time periods, the 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 and more, the historical energy consumption data of the last year closest to the current moment can be used as the 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 in a plurality of future time periods, factors which can influence enterprise energy consumption are inconsistent with the appointed time period is indicated, the second energy consumption value can not be accurately predicted only according to the first energy consumption value generated by history, and 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 may be expressed as:
Wherein, Representing a second energy consumption value corresponding to the nth time period,The regression coefficient is represented as a function of the regression coefficient,Representing the corresponding generated energy consumption value for the last time period,Representing an explanatory variable in the energy consumption influencing factors.
Further, after predicting and obtaining second energy consumption values corresponding to a plurality of time periods in the future, fitting to obtain an energy consumption usage curve according to the first energy consumption values 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 dual-control energy consumption management of the enterprise, this may affect the accuracy of the estimated result, because as the energy consumed by the enterprise increases, the greater the probability that the energy consumed by the enterprise exceeds the initially planned energy consumption budget value, and therefore, the second time intervals corresponding to the second energy consumption values respectively are determined, where the second time intervals are inversely related to the second energy consumption values. It should be noted that the second time intervals are not fixed at this time, and each second energy consumption value corresponds to a first second time interval, and the higher the second energy consumption value, the smaller the second time interval.
And sequencing the time periods respectively corresponding to the second energy consumption values to obtain a corresponding time period sequence. And then updating the time interval between adjacent time periods in the time period sequence into 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, re-predicting to obtain a corresponding second energy consumption value according to the first energy consumption values corresponding to the updated target time periods, so as to obtain an energy consumption usage curve by fitting according to the second energy consumption value. The time interval between the time periods of the energy consumption using curve obtained by fitting is changed from a fixed value to a variable value, so that the method can adapt to different energy consumption using environments, and the accuracy of a prediction result is improved.
104: And carrying out early warning on the energy consumption of the enterprise according to the difference between the energy consumption budget curve and the energy consumption using curve.
After the energy consumption budget curve and the energy consumption using curve are obtained, whether the energy consumption used by the current enterprise exceeds the energy consumption budget value or whether the energy consumption exceeds the energy consumption budget value in the future is judged according to the energy consumption difference value at the same time period.
Specifically, the 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, the corresponding acceleration rate is respectively determined according to the energy consumption budget curve and the energy consumption usage curve which are positioned behind 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, the energy consumption usage value of the enterprise may exceed the energy consumption budget value after a certain time period in the future, and early warning is needed at this time to prompt the enterprise to adjust the energy consumption usage amount corresponding to the time period, so that the energy consumption budget value exceeding the initial planning is avoided, and smooth work is ensured.
In one embodiment, the platform can provide an index transaction module in addition to early warning of the energy consumption use condition of the enterprise, and the enterprise server can obtain index transaction information issued by a government department through the index transaction module so that the enterprise can obtain the transaction progress of related indexes according to the index transaction information.
In one embodiment, the policy module of the platform issues the latest policy information issued by the province county where the current enterprise is located, which is helpful for the enterprise to know the current latest policy in time and dynamically inform issued by the government, so that the subsequent production plan can be adjusted in time according to the content.
In one embodiment, the energy efficiency evaluation module of the platform comprises three modules of provincial level evaluation, municipal level evaluation and county level evaluation, and is mainly distinguished according to comprehensive energy consumption of enterprises. The provincial level evaluation faces to enterprises with comprehensive energy consumption more than 10000tce, the municipal level energy efficiency evaluation faces to enterprises with comprehensive energy consumption more than 5000tce, and the county level energy efficiency evaluation faces to enterprises with comprehensive energy consumption more than 1000 tce. For enterprises with evaluation results lower than a preset level, the enterprises enter government department management and 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 is mainly used for simply summarizing and analyzing the energy consumption budget value and the energy consumption value of the enterprise, and comparing and displaying the energy consumption budget value and the energy consumption value in the form of a line graph, a bar graph and a pie graph.
In one embodiment, the credit management module of the platform is used for uploading the enterprise energy credit self-evaluation report, and can acquire the credit evaluation results of all government departments on the platform in real time.
The above is a method embodiment of the present application. Based on the same thought, one or more embodiments of the present disclosure further provide a device 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
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 an energy consumption index issued by a government department, and determining energy consumption budget values respectively corresponding to enterprises in a preset time period according to the energy consumption index;
Generating an energy consumption budget curve corresponding to the enterprise according to the energy consumption budget value;
Respectively corresponding first energy consumption values of enterprises in a preset time period are obtained, and future second energy consumption values are predicted according to the first energy consumption values, so that an energy consumption usage curve obtained by fitting the first energy consumption values and the second energy consumption values is obtained;
And carrying out early warning on the energy consumption of the enterprise according to the difference between the energy consumption budget curve and the energy consumption using curve.
An embodiment of the present application provides a nonvolatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured to:
Receiving an energy consumption index issued by a government department, and determining energy consumption budget values respectively corresponding to enterprises in a preset time period according to the energy consumption index;
Generating an energy consumption budget curve corresponding to the enterprise according to the energy consumption budget value;
Respectively corresponding first energy consumption values of enterprises in a preset time period are obtained, and future second energy consumption values are predicted according to the first energy consumption values, so that an energy consumption usage curve obtained by fitting the first energy consumption values and the second energy consumption values is obtained;
And carrying out early warning on the energy consumption of the enterprise according to the difference between the energy consumption budget curve and the energy consumption using curve.
The embodiments of the present application are described in a progressive manner, and the same and similar parts of the embodiments are all referred to each other, and each embodiment is mainly described in the differences from the other embodiments. In particular, for the apparatus and medium embodiments, the description is relatively simple, as it is substantially similar to the method embodiments, with reference to the section of the method embodiments being relevant.
The devices and media provided in the embodiments of the present application are in one-to-one correspondence with the methods, so that the devices and media also have similar beneficial technical effects as the corresponding methods, and since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media are not repeated here.
It will be appreciated by those skilled in the art that 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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 one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement 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 storage media for a computer 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, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
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 one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.
Claims (6)
1. An enterprise energy consumption double-control management method is characterized by comprising the following steps:
Receiving an energy consumption index issued by a government department, and determining energy consumption budget values respectively corresponding to enterprises in a preset time period according to the energy consumption index;
generating an energy consumption budget curve corresponding to the enterprise according to the energy consumption budget value;
Obtaining first energy consumption values respectively corresponding to the enterprises in the preset time period, and predicting future second energy consumption values according to the first energy consumption values to obtain an energy consumption usage curve obtained by fitting the first energy consumption values and the second energy consumption values;
Early warning the energy consumption of the enterprise according to the difference between the energy consumption budget curve and the energy consumption usage curve;
According to the energy consumption index, determining the energy consumption budget value respectively corresponding to the enterprises in a preset time period specifically comprises the following steps:
Determining the corresponding energy consumption ratio of the enterprise in the preset time period according to the industry category of the enterprise;
determining the energy consumption budget values respectively corresponding to the enterprises in a preset time period through the following formula:
F x is an energy consumption budget value corresponding to the xth time period of the enterprise; q x is the energy consumption ratio corresponding to the xth time period of the enterprise; m is the number of time periods; f is the energy consumption index;
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, wherein the method specifically comprises the following steps:
Determining a current first energy consumption value corresponding to a specified time period in the first energy consumption values; the appointed time period is the time period before the current moment;
Determining a corresponding first time interval according to the current first energy consumption value, wherein the first time interval is an interval among a plurality of time periods in the future of the selected 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;
fitting according to the first energy consumption value and the plurality of second energy consumption values to obtain an energy consumption usage curve;
According to a preset prediction mode, a plurality of second energy consumption values corresponding to the plurality of time periods are respectively obtained, and the method specifically comprises the following steps:
Respectively matching the appointed time period and the plurality of time periods with a preset prediction period to determine a first prediction period corresponding to the appointed time period and a second prediction period corresponding to the plurality of time periods; the prediction period is divided according to energy consumption influencing factors, and the energy consumption influencing factors at least comprise: enterprise order quantity, seasons and industry quotations;
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 smaller than the critical time, predicting a second energy consumption value corresponding to the plurality of time periods through the following formula:
Fn＝fn-1·an
Wherein F n is a second energy consumption value corresponding to the nth time period, F n-1 is a first energy consumption value corresponding to the last time period of the nth time period, and a n is an energy consumption parameter corresponding to the nth time period;
If the reporting time is greater 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 the plurality of time periods;
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;
fitting according to the first energy consumption value and the plurality of second energy consumption values to obtain an energy consumption usage curve, wherein the energy consumption usage curve specifically comprises the following steps:
Determining second time intervals corresponding to the plurality of second energy consumption values respectively, wherein the second time intervals are inversely related to the second energy consumption values;
sequencing the time periods respectively corresponding to the second energy consumption values to obtain a corresponding time period sequence;
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 re-predicting to obtain a corresponding second energy consumption value according to the first energy consumption values corresponding to the updated target time periods, so as to obtain an energy consumption usage curve by fitting according to the second energy consumption value.
2. The method for dual-control management of energy consumption of an enterprise according to claim 1, wherein the method for dual-control management of energy consumption of an enterprise according to the difference between the energy consumption budget curve and the energy consumption usage curve 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 larger than the preset difference value;
if yes, respectively determining corresponding acceleration rates of the energy consumption budget curve and the energy consumption usage curve which are positioned behind the same future time period;
and if the acceleration rate corresponding to the energy consumption utilization curve is larger than the acceleration rate corresponding to the energy consumption budget curve, early warning is carried out so that the enterprise can adjust the energy consumption utilization amount in the corresponding time period.
3. The method for double control management of enterprise energy consumption according to claim 1, wherein the enterprise energy consumption index comprises an energy consumption index, a coal consumption index, an increase value energy consumption index of unit industry,
After obtaining the first energy consumption values respectively corresponding to the enterprises in the preset time period, the method further comprises the following steps:
Determining the industry energy consumption category corresponding to the enterprise; the industry energy consumption category at least comprises coal enterprises and non-coal enterprises;
for different industry energy consumption types, respectively reporting corresponding first energy consumption values to the government departments; the first energy consumption value corresponding to the coal-using enterprise comprises energy consumption, coal consumption and unit industrial increment value energy consumption, and the first energy consumption value corresponding to the coal-not-using enterprise comprises energy consumption and unit industrial increment value energy consumption.
4. The method for dual control management of enterprise energy consumption of claim 1, further comprising:
And acquiring index transaction information issued by the government department, so that the enterprise obtains the transaction progress of the related index according to the index transaction information.
5. An enterprise energy consumption double control management device, comprising:
at least one processor; and
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 perform an enterprise energy consumption dual control management method as claimed in claim 1.
6. A non-transitory computer storage medium storing computer-executable instructions, the computer-executable instructions configured to: an enterprise energy consumption dual control management method as claimed in claim 1.
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