CN115423385A - Energy consumption double-control management method, equipment and medium - Google Patents
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Abstract
The application discloses a method, equipment and a medium for energy consumption double-control management, which relate to the technical field of computers, and the method comprises the following steps: determining a control area, and collecting enterprise summarized data of the control area, wherein the enterprise summarized data comprises reporting values and budget values of a plurality of enterprises; determining a prediction parameter through a server, and calculating a prediction value of an enterprise through a preset logic algorithm according to the prediction parameter; the method comprises the steps of determining a preset grading early warning rule, determining a data category according to the grading early warning rule, sending enterprise summarized data and a predicted value to a terminal for displaying according to the data category, and grading and labeling the enterprise summarized data according to the grading early warning rule. According to the method and the system, the enterprise is helped to know the industrial policy and the notice of the area management department in time through the hierarchical display of the area policy, and the information is communicated in time.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method, a device, and a medium for energy consumption dual control management.
Background
About 80% of carbon dioxide emission in the atmosphere is generated by fossil energy consumption, and reasonable control of energy consumption is helpful for promoting carbon to reach a peak carbon neutralization target, so that double control (hereinafter referred to as energy consumption double control) work of total energy consumption and intensity is more and more emphasized. However, in the process of actually carrying out energy consumption double control work, the area often faces lack of a favorable gripper and does not know how to effectively control the energy consumption double control work; the data acquisition speed is not timely, and the afterfeel is known after response measures; the new project is complete in procedure and cannot meet the practical energy index; the illegal use of energy enterprises can not be treated according to law.
Disclosure of Invention
In order to solve the above problem, the present application provides an energy consumption dual-control management method, including: determining a control area, and collecting enterprise summarized data of the control area, wherein the enterprise summarized data comprises report values and budget values of a plurality of enterprises; determining a prediction parameter through a server, and calculating a prediction value of the enterprise through a preset logic algorithm according to the prediction parameter; determining a preset grading early warning rule, determining a data type according to the grading early warning rule, sending the enterprise summarized data and the predicted value to a terminal for displaying according to the data type, and grading and marking the enterprise summarized data according to the grading early warning rule.
In one example, calculating the forecast value of the enterprise according to the forecast parameter through a preset logic algorithm specifically includes: determining historical filling data corresponding to the enterprise according to the enterprise summarized data, judging filling time of the historical filling data, and comparing the filling time with preset critical time; if the filling time is less than the critical time, calculating a first predicted value according to a first logic algorithm; if the filling time is greater than or equal to the critical time, calculating a second predicted value according to a second logic algorithm; determining the first predicted value by:
wherein the content of the first and second substances,
the first predicted value corresponding to the ith month,
the history data for the previous month,
a first parameter corresponding to the ith month; by passingDetermining the second predicted value according to the following formula:
wherein, in the process,
the second predicted value corresponding to the ith month,
and filling data for the history corresponding to the ith month of the last year.
In one example, the hierarchical annotation of the enterprise summarized data according to the hierarchical early warning rule specifically includes: and determining a corresponding early warning value according to the data category, determining an early warning range and an early warning grade corresponding to the data category, and comparing the early warning value with the early warning range so as to grade and label the enterprise summarized data according to the early warning grade and the data category.
In one example, the regulatory region includes, but is not limited to, a primary regulatory region and a secondary regulatory region; the method further comprises the following steps: determining the enterprise summarized data in the secondary management and control area, determining an energy consumption index of the enterprise according to the enterprise summarized data, so that the enterprise can refer to the energy consumption index, and sending the early warning level to the primary management and control area; determining the predicted value in the primary control area, calculating a danger value of the enterprise according to the predicted value and the early warning value, and comparing the danger value with a preset danger threshold value; if the danger value is larger than the danger threshold value, marking the enterprise as an energy consumption dangerous enterprise, and counting the number of the energy consumption dangerous enterprises in the secondary management and control area; and if the number of the energy consumption dangerous enterprises is larger than a preset number threshold, reducing and adjusting the energy consumption indexes of the secondary management and control area.
In one example, the method further comprises: acquiring the enterprise summarized data through a terminal, determining a reporting type, and performing classified reporting on the enterprise summarized data according to the reporting type, wherein the reporting type comprises but is not limited to reporting statistics, regional reporting, industry reporting and enterprise reporting; the delivery statistics comprise enterprise delivery conditions in the control area; the regional delivery comprises energy consumption, coal consumption, unit industry added value energy consumption, raw material energy consumption and raw material coal consumption of the control region; the industry submission comprises energy consumption, coal consumption, unit industry added value energy consumption, raw material energy consumption and raw material coal consumption which are summarized according to industry classification in the control area; the enterprise reports comprise energy consumption, coal consumption, unit industry added value energy consumption, raw material energy consumption and raw material coal consumption of all enterprises in the control area.
In one example, the terminal comprises an enterprise management module, a file management module, an information center and a system setting module; the enterprise management module is used for displaying basic information of the control area and basic information of the enterprise in the control area; the file management module is used for managing the data information files uploaded to the terminal; the information center comprises a revision application module and a revision result module; the system setting module is used for setting display information and password correction.
In one example, the terminal further comprises an index transaction module; the method further comprises the following steps: and issuing the index transaction information in the control area through the index transaction module, and displaying the related transaction progress of the index transaction information.
In one example, the method comprises: and determining the authority information of the enterprise through the server, determining a display file of a region corresponding to the enterprise according to the authority information, and sending the display file to a terminal of the enterprise.
On the other hand, the present application further provides an energy consumption dual-control management device, including: 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 energy-consuming dual control management device to: determining a control area, and collecting enterprise summarized data of the control area, wherein the enterprise summarized data comprises report values and budget values of a plurality of enterprises; determining a prediction parameter through a server, and calculating a prediction value of the enterprise through a preset logic algorithm according to the prediction parameter; determining a preset grading early warning rule, determining a data type according to the grading early warning rule, sending the enterprise summarized data and the predicted value to a terminal for displaying according to the data type, and grading and marking the enterprise summarized data according to the grading early warning rule.
In another aspect, the present application further provides a non-volatile computer storage medium storing computer-executable instructions configured to: determining a control area, and collecting enterprise summarized data of the control area, wherein the enterprise summarized data comprises reported values and budget values of a plurality of enterprises; determining a prediction parameter through a server, and calculating a prediction value of the enterprise through a preset logic algorithm according to the prediction parameter; determining a preset grading early warning rule, determining a data type according to the grading early warning rule, sending the enterprise summarized data and the predicted value to a terminal for displaying according to the data type, and grading and marking the enterprise summarized data according to the grading early warning rule.
According to the method and the system, the enterprise is helped to know the industrial policy and the notice of the area management department in time through the hierarchical display of the area policy, and the information is communicated in time. The system can help enterprises to carry out budget allocation on annual energy consumption and coal consumption, reasonably allocate element resources and make use planning. The system can assist energy-saving competent departments in timely acquiring energy consumption and coal consumption data of enterprises, early warn the overall energy consumption condition of the enterprises and regions, timely carry out guidance work, and supervise and urge responsible subjects to immediately implement. And the energy consumption and output benefit evaluation results of regions and enterprises are comprehensively displayed, the energy efficiency level difference is contrasted and analyzed, and the potential is developed and promoted. The regional energy consumption and coal consumption index transaction information is displayed, the information is timely shared, and the inventory of regional indexes is assisted to be checked. And the credit evaluation result, the expert review opinion and the credit evaluation result are displayed, and the enterprise energy-saving credit grading management is realized in a matching manner.
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 energy consumption dual-control management method in an embodiment of the present application;
fig. 2 is a schematic diagram of an energy consumption dual-control management cloud platform in an embodiment of the present application;
fig. 3 is a schematic diagram of an energy consumption dual control management device in 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 some of the embodiments of the present application, and not all of the 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.
At present, enterprises need to realize digital management of energy consumption data, real-time early warning of energy consumption conditions of the enterprises, accurate acquisition of unit energy consumption and output benefit comprehensive evaluation results and energy consumption total amount control targets, and acquisition of latest policy notifications and index transaction information. In addition, in the development of the regional energy consumption double-control work, the local management department faces many problems and difficulties. For example, regional development is in conflict with energy element constraints; the absence of forward excitation and reverse detrapping mechanisms; the energy-saving competent department cannot timely obtain the energy consumption data of the enterprise; the enterprise energy consumption data is not firm, and the phenomenon of reporting and missing report is prominent; the regional and enterprise double-control task allocation lacks a scientific mechanism; energy consumption control easily causes one-time cutting and lacks of accurate enforcement; loss of energy consumption and coal consumption index flow mechanism; the enterprise energy-saving task assessment reward and punishment is weak.
As shown in fig. 1, in order to solve the above problem, an energy consumption dual control management method provided in an embodiment of the present application includes:
s101, determining a control area, and collecting enterprise summarized data of the control area, wherein the enterprise summarized data comprise reporting values and budget values of a plurality of enterprises.
As shown in fig. 2, an energy consumption double-control management cloud platform is established, the platform comprises an enterprise end and a management department end, 10 large modules including policy notification, energy consumption budget, data reporting, energy consumption early warning, energy efficiency evaluation, index transaction, data analysis, energy utilization credit management, government/enterprise management, a data large screen and the like are included, and the power-assisted regional energy consumption double-control work is continuously and efficiently carried out. The management department can realize digital management of data such as industry and enterprise energy consumption of the control area through the platform, master early warning trends at all levels, publish energy efficiency evaluation and energy consumption credit evaluation results in time, accurately issue energy consumption total amount and intensity and coal consumption total amount control targets, update policy notification and index transaction information at any time, and promote efficient and sustainable development of area energy consumption work.
The enterprise can timely obtain the energy efficiency evaluation result, the total energy consumption and intensity, the total coal consumption control target, the energy consumption credit evaluation result, the policy notice, the index transaction and other information through the platform. And reporting data such as energy consumption, coal consumption, industrial added value and the like at regular time, and mastering early warning conditions such as total energy consumption, intensity, coal consumption and the like of an enterprise in real time. The combing and the analysis of the self energy consumption items and the energy consumption current situations are realized.
The primary page of the platform is mainly used for collecting enterprise summarized data of the control area and displaying enterprise summarized data reported by the control area in a year mode, wherein the enterprise summarized data comprises information such as energy consumption, coal consumption, unit industry added value energy consumption, raw material energy consumption and raw material coal consumption. And displaying the collected data such as energy consumption, coal consumption, unit industry added value energy consumption, raw material coal consumption and the like by using a line graph and a bar graph, and reporting values and precalculated values of each data in each month and 1-this month. Wherein, the submission value and the budget value are self-filled by enterprises.
S102, determining a prediction parameter through a server, and calculating the prediction value of the enterprise through a preset logic algorithm according to the prediction parameter.
And the platform back-end server presents predicted values for data and prediction of the remaining months in the whole year by establishing a logic algorithm.
In one embodiment, historical filling data of a corresponding enterprise is determined according to enterprise summarized data, filling time of the historical filling data is judged, and the filling time is compared with preset critical time;
if the filling time is less than the critical time, calculating a first predicted value according to a first logic algorithm;
determining a first predicted value by the following formula:
wherein the content of the first and second substances,
a first predicted value corresponding to the ith month,
the history data is filled in for the previous month,
the first parameter is corresponding to the ith month.
For example, for a business that just started using the platform, it is first guaranteed that the business fills in data 3 months before completion, making predictions from month 4.
Predictive value of 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);
predictive value of 5 months =4 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 monthly history data + (4 monthly history data-3 monthly history data)/3);
by the way of analogy, the method can be used,
the predicted value of 12 months =11 monthly history data [ ((2 monthly history data-1 monthly history data)/1 monthly history data + [ ((3 monthly history data-2 monthly history data)/2 monthly history data + … … + [ ("11 monthly history data-10 monthly history data)/10).
After the enterprise fills in the data of 4 months, the predicted value is calculated according to the formula.
If the filling time is greater than or equal to the critical time, calculating a second predicted value according to a second logic algorithm;
determining a second predicted value by the following formula:
wherein the content of the first and second substances,
a second predicted value corresponding to the ith month,
and filling data for the history corresponding to the ith month of the last year.
For example, for a business that has filled in data for one year at the platform, it is necessary to fill in data for another 1 month, with forecasts beginning at month 2.
A predicted value of 2 months = (last year 2 month history data/last year history data sum) × (1 month history data/(last year 1 month history data/last year history data sum));
a predicted value of 3 months = (last 3 months history data/last history data sum) ((1 month history data +2 months history data)/((last 1 month history data + last 2 months history data)/last year history data sum));
by the way of analogy, the method can be used,
predicted value of 12 months = (last 12 month history data/last year history data sum) ((1 month history data +2 month history data + … … +11 month history Shi Shuju)/((last 1 month history data + last 2 month history data + … … last 11 month history Shi Shuju)/last year history data sum)).
After the enterprise fills in the data of month 2, the predicted value is calculated according to the formula.
S103, a preset grading early warning rule is determined, a data category is determined according to the grading early warning rule, the enterprise summarized data and the predicted value are sent to a terminal to be displayed according to the data category, and the enterprise summarized data are graded and labeled according to the grading early warning rule.
The platform counts and displays the number of reported enterprises per month, and can link and display corresponding enterprises; and displaying the quantity of enterprises with graded early warning conditions of all-area energy consumption, coal consumption and unit industry added value energy consumption according to a preset graded early warning rule, and linking and displaying the corresponding enterprises.
In one embodiment, the corresponding early warning value is determined according to the data category, the early warning range and the early warning level corresponding to the data category are determined, and the early warning value is compared with the early warning range, so that enterprise summarized data are labeled according to the early warning level in a grading manner according to the data category. For example, in terms of energy consumption, when 1-month energy consumption delivery/1-month energy consumption budget amount = <100%, the alarm is green; when the energy consumption delivery amount in the month is 100% <1 and the energy consumption budget amount in the month is = <110%, yellow warning is given; and when the 1-energy consumption delivery amount in the month/1-energy consumption budget amount in the month is more than 110%, red early warning is given. In the aspect of coal consumption, when the 1-monthly energy consumption delivery amount/1-monthly energy consumption budget amount = <100%, green early warning is given; and when the 1-energy consumption delivery amount in the month/1-energy consumption budget amount in the month is more than 100 percent, the early warning is red. In the aspect of increasing the value and energy consumption of unit industry, the change rate is calculated according to the following formula.
Change rate = (1-X month unit industrial added value energy consumption-year unit industrial added value energy consumption throughout the last year)/year unit industrial added value energy consumption throughout the last year, wherein the annual decline goal is directly issued to enterprises by management departments.
When the unit industry added value energy consumption change rate of the same year and the same year is less than the year reduction target (XX%), the early warning is green; when the annual decline task is less than the annual year unit industry increment value energy consumption change rate of the same year and less than 0, the early warning is yellow; and when the unit industry added value energy consumption change rate is greater than 0 in the same year and the whole year, the early warning is red.
In one embodiment, the energy consumption early warning comprises three parts of early warning statistics, regional early warning and enterprise early warning. The energy consumption comprises three early warning levels of red, yellow and green, the coal consumption comprises two early warning levels of red and green, and the unit industry added value energy consumption comprises three early warning levels of red, yellow and green. The early warning statistics comprises early warning conditions of energy consumption, coal consumption and unit industry added value energy consumption in the regions under jurisdiction, and the number of enterprises with different early warning levels in each region is displayed. And (4) displaying summarized data and early warning conditions of enterprise energy consumption, coal consumption and unit industry added value energy consumption in each region under the jurisdiction by regional early warning. And the enterprise early warning shows the data and early warning conditions of energy consumption, coal consumption and unit industry added value energy consumption of all the submitting enterprises in the area.
In one embodiment, the energy consumption budget of the management department is divided into two forms, namely, provincial level and county level. The provincial and municipal level mainly distributes information such as the annual energy consumption index, the coal consumption index, the GDP energy consumption reduction task of the regional unit, the enterprise industry added value energy consumption reduction task and the like to the controlled region (referred to as the primary controlled region). And summarizing annual budget data of enterprises in the region under jurisdiction.
The county level mainly provides the energy consumption indexes, coal consumption indexes, energy consumption reduction tasks of enterprise industry added values and the like of the current year to enterprises in a controlled area (referred to as a secondary control area) according to the energy consumption data of the enterprises in the last year, so that the enterprises refer to the energy consumption indexes and send early warning conditions to the primary control area, wherein the early warning conditions at least comprise early warning levels and early warning values.
The provincial and urban levels determine a predicted value in a first-level control area, calculate a risk value of an enterprise according to the predicted value and an early warning value, and compare the risk value with a preset risk threshold value; if the danger value is larger than the danger threshold value, marking the enterprises as energy consumption dangerous enterprises, and counting the number of the energy consumption dangerous enterprises in the secondary management and control area; and if the number of the energy consumption dangerous enterprises is larger than the preset number threshold, reducing and adjusting the energy consumption indexes of the secondary management and control area.
In one embodiment, enterprise summarized data is obtained through a terminal of a platform, a delivery type is determined, and the enterprise summarized data is classified and delivered according to the delivery type, wherein the delivery type includes but is not limited to delivery statistics, regional delivery, industry delivery, and enterprise delivery. Reporting statistics mainly summarizes the reporting conditions of enterprises in the management and control area; the regional delivery shows the energy consumption, coal consumption, unit industry added value energy consumption, raw material energy consumption and raw material coal consumption summarized in the control region; each enterprise in the industry submission display control area summarizes energy consumption, coal consumption, unit industry added value energy consumption, raw material energy consumption and raw material coal consumption according to industry classification; the enterprise reports and shows the energy consumption, coal consumption, unit industry added value energy consumption, raw material energy consumption and raw material coal consumption of all enterprises in the control area.
In one embodiment, the terminal of the platform comprises an enterprise management module, a file management module, an information center and a system setting module. The enterprise management module is mainly used for directly displaying basic information of enterprises in the control area and clicking the enterprise name to see an information summary page of the enterprise. The file management module is mainly used for managing files uploaded to the platform. The information center comprises two modules of revision applications and revision results, after data of the enterprise terminal is revised due to entry errors, the corresponding revision applications can be collected to the county-level government terminal, and the revision applications comprise three keys of approval, rejection and deletion. The system setting module is used for setting the displayed information, correcting the password and other operations.
In one embodiment, the account numbers of the management department are divided into province, city and county level account numbers, and mainly display the policy files of the country and the province, the city and the county, and some general notifications issued by the platform. The national policy can be issued only through a background, the account numbers of all levels issue policy files of corresponding levels, and enterprises can only see the policy files of the country, province, city and county. And determining the authority information of the enterprise through the server, determining a display file of a region corresponding to the enterprise according to the authority information, and sending the display file to a terminal of the enterprise. The background server sets that the account number of the enterprise terminal can only see the policy files of the province, the prefecture and the county and district, and the policy files are directly distinguished according to the location of the enterprise address. For example: enterprises in the lower calendar area can only see the policy documents issued by the account numbers of the administrative departments of the country, the Shandong, the Jinan and the lower calendar area.
In one embodiment, the energy efficiency evaluation part of the platform comprises three modules of regional evaluation, industry evaluation and enterprise evaluation. The provincial and municipal management department account number carries out energy efficiency evaluation on the regions, industries and enterprises in charge according to official energy efficiency evaluation, the region evaluation shows the evaluation results of the regions in charge, the industry evaluation shows the evaluation results of the industries in the regions, and the enterprise evaluation shows the evaluation results of all enterprises in the regions.
In one embodiment, the platform further comprises an index trading module, and the index trading module is used for issuing index trading information in the control area and displaying the related trading progress of the index trading information.
In one embodiment, the data analysis module of the platform mainly performs summary and simple analysis on data of years, industries and regions, and displays the data in the form of a line graph, a bar graph and a pie graph in a comparison mode.
In one embodiment, the credit management module of the platform mainly evaluates and ranks available credits of enterprises in a control area and collects self-evaluation reports uploaded by the enterprises.
As shown in fig. 3, an embodiment of the present application further provides an energy consumption dual control management device, including:
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 content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the energy-consuming dual control management device to:
determining a control area, and collecting enterprise summarized data of the control area, wherein the enterprise summarized data comprises reported values and budget values of a plurality of enterprises;
determining a prediction parameter through a server, and calculating a prediction value of the enterprise through a preset logic algorithm according to the prediction parameter;
determining a preset grading early warning rule, determining a data category according to the grading early warning rule, sending the enterprise summarized data and the predicted value to a terminal for displaying according to the data category, and grading and labeling the enterprise summarized data according to the grading early warning rule.
An embodiment of the present application further provides a non-volatile computer storage medium storing computer-executable instructions, where the computer-executable instructions are configured to:
determining a control area, and collecting enterprise summarized data of the control area, wherein the enterprise summarized data comprises report values and budget values of a plurality of enterprises;
determining a prediction parameter through a server, and calculating a prediction value of the enterprise through a preset logic algorithm according to the prediction parameter;
determining a preset grading early warning rule, determining a data type according to the grading early warning rule, sending the enterprise summarized data and the predicted value to a terminal for displaying according to the data type, and grading and marking the enterprise summarized data according to the grading early warning rule.
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 differences from 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 to one, so the device and the medium also have the similar beneficial technical effects as the corresponding method, and the beneficial technical effects of the method are explained in detail above, so the beneficial technical effects of the device and the medium are not repeated herein.
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 energy consumption double-control management method is characterized by comprising the following steps:
determining a control area, and collecting enterprise summarized data of the control area, wherein the enterprise summarized data comprises report values and budget values of a plurality of enterprises;
determining a prediction parameter through a server, and calculating a prediction value of the enterprise through a preset logic algorithm according to the prediction parameter;
determining a preset grading early warning rule, determining a data type according to the grading early warning rule, sending the enterprise summarized data and the predicted value to a terminal for displaying according to the data type, and grading and marking the enterprise summarized data according to the grading early warning rule.
2. The method according to claim 1, wherein calculating the forecasted value of the business by a predetermined logical algorithm based on the forecast parameters specifically comprises:
determining historical filling data corresponding to the enterprise according to the enterprise summarized data, judging filling time of the historical filling data, and comparing the filling time with preset critical time;
if the filling time is less than the critical time, calculating a first predicted value according to a first logic algorithm;
if the filling time is greater than or equal to the critical time, calculating a second predicted value according to a second logic algorithm;
determining the first predicted value by:
wherein the content of the first and second substances,
the first predicted value corresponding to the ith month,
the history fill data corresponding to the previous month,
a first parameter corresponding to the ith month;
determining the second predicted value by the following formula:
wherein the content of the first and second substances,
the second predicted value corresponding to the ith month,
and filling data for the history corresponding to the ith month of the last year.
3. The method according to claim 1, wherein the hierarchical annotation of the enterprise summarized data according to the hierarchical early warning rule specifically comprises:
and determining a corresponding early warning value according to the data category, determining an early warning range and an early warning grade corresponding to the data category, and comparing the early warning value with the early warning range so as to grade and label the enterprise summarized data according to the early warning grade and the data category.
4. The method of claim 3, wherein the regulatory domains include, but are not limited to, primary regulatory domains and secondary regulatory domains;
the method further comprises the following steps:
determining the enterprise summarized data in the secondary management and control area, determining an energy consumption index of the enterprise according to the enterprise summarized data, so that the enterprise refers to the energy consumption index, and sending the early warning level and the early warning value to the primary management and control area;
determining the predicted value in the primary control area, calculating a danger value of the enterprise according to the predicted value and the early warning value, and comparing the danger value with a preset danger threshold value;
if the danger value is larger than the danger threshold value, marking the enterprise as an energy consumption dangerous enterprise, and counting the number of the energy consumption dangerous enterprises in the secondary management and control area;
and if the number of the energy consumption dangerous enterprises is larger than a preset number threshold, reducing and adjusting the energy consumption indexes of the secondary management and control area.
5. The method of claim 1, further comprising:
acquiring the enterprise summarized data through a terminal, determining a reporting type, and performing classified reporting on the enterprise summarized data according to the reporting type, wherein the reporting type comprises but is not limited to reporting statistics, regional reporting, industry reporting and enterprise reporting;
the delivery statistics comprise enterprise delivery conditions in the control area; the regional delivery comprises energy consumption, coal consumption, unit industry added value energy consumption, raw material energy consumption and raw material coal consumption of the control region; the industry submission comprises energy consumption, coal consumption, unit industry added value energy consumption, raw material energy consumption and raw material coal consumption which are summarized according to industry classification in the control area; the enterprise reports comprise energy consumption, coal consumption, unit industry added value energy consumption, raw material energy consumption and raw material coal consumption of all enterprises in the control area.
6. The method of claim 5, wherein the terminal comprises an enterprise management module, a file management module, an information center, a system setup module;
the enterprise management module is used for displaying basic information of the control area and basic information of the enterprise in the control area;
the file management module is used for managing the data information files uploaded to the terminal;
the information center comprises a revision application module and a revision result module;
the system setting module is used for setting display information and password correction.
7. The method of claim 5, wherein the terminal further comprises an index transaction module;
the method further comprises the following steps:
and issuing the index transaction information in the control area through the index transaction module, and displaying the related transaction progress of the index transaction information.
8. The method according to claim 1, characterized in that it comprises:
and determining the authority information of the enterprise through the server, determining a display file of a region corresponding to the enterprise according to the authority information, and sending the display file to a terminal of the enterprise.
9. An energy consumption dual control management device, 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 content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the energy-consuming duality management device to perform:
determining a control area, and collecting enterprise summarized data of the control area, wherein the enterprise summarized data comprises report values and budget values of a plurality of enterprises;
determining a prediction parameter through a server, and calculating a prediction value of the enterprise through a preset logic algorithm according to the prediction parameter;
determining a preset grading early warning rule, determining a data category according to the grading early warning rule, sending the enterprise summarized data and the predicted value to a terminal for displaying according to the data category, and grading and labeling the enterprise summarized data according to the grading early warning rule.
10. A non-transitory computer storage medium storing computer-executable instructions, the computer-executable instructions configured to:
determining a control area, and collecting enterprise summarized data of the control area, wherein the enterprise summarized data comprises report values and budget values of a plurality of enterprises;
determining a prediction parameter through a server, and calculating a prediction value of the enterprise through a preset logic algorithm according to the prediction parameter;
determining a preset grading early warning rule, determining a data type according to the grading early warning rule, sending the enterprise summarized data and the predicted value to a terminal for displaying according to the data type, and grading and marking the enterprise summarized data according to the grading early warning rule.
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