CN117332005A - Intelligent energy service information interaction method, system and storage medium - Google Patents
Intelligent energy service information interaction method, system and storage medium Download PDFInfo
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Abstract
The invention relates to the field of urban energy planning, in particular to a smart energy service information interaction method, a smart energy service information interaction system and a smart energy service information interaction storage medium, wherein real-time energy consumption data and historical energy consumption data of each energy main body are collected for analysis and prediction, each energy main body is divided based on analysis and prediction results, a management scheme is formulated, information islands and data redundancy are avoided, comprehensive perception, intelligent management and efficient utilization of urban energy are realized, and therefore, the energy utilization efficiency is improved, the energy consumption is reduced, and sustainable development of cities is facilitated; the user obtains real-time energy consumption data and historical energy consumption data through the interactive interface, and can customize the energy consumption service and feed back service evaluation according to actual needs, so that the personalized requirements of the user can be better met through the interactive mode of the user participation, and the user experience is improved.
Description
Technical Field
The invention relates to the field of urban energy planning, in particular to a smart energy service information interaction method, a smart energy service information interaction system and a storage medium.
Background
At present, with the continuous development of urban and the rising of energy Internet, the flexibility level is continuously improved, the energy consumption diversification and interactive demands are increasingly highlighted, and new requirements are put on intelligent energy service from the aspects of user demands, technical development, policy promotion and the like, so that the intelligent energy service becomes an important direction of urban sustainable development
The intelligent energy service system utilizes Internet technologies such as cloud object migration and the like to build a resource optimization configuration platform, achieves interconnection and intercommunication of energy varieties and energy consumption requirements, fully exerts the characteristics of intellectualization and diversification of energy equipment, enables users to freely select clean energy consumption modes, and is an important foundation for energy service sharing and energy efficient utilization.
However, the existing intelligent energy service information interaction system has a plurality of problems in information interaction, data management and energy service, such as information island and data redundancy, and is difficult to meet the efficient utilization of urban energy and the personalized demands of users.
Disclosure of Invention
The invention aims to provide an intelligent energy service information interaction method, an intelligent energy service information interaction system and a storage medium, which are beneficial to avoiding information islands and data redundancy, improving the energy utilization rate and better meeting the personalized requirements of users.
The specific technical scheme provided by the invention is as follows: an intelligent energy service information interaction method, comprising the following steps:
step one, collecting real-time energy consumption data of each energy consumption main body, and generating historical energy consumption data based on the collected real-time energy consumption data;
step two, carrying out integrated analysis on the collected real-time energy consumption data and the generated historical energy consumption data to generate a predicted energy consumption trend graph of each energy consumption main body;
dividing the energy consumption main body based on the predicted energy consumption trend graph of each energy consumption main body;
step four, energy supply management is carried out on each divided energy main body;
and fifthly, acquiring energy consumption data, customizing energy consumption service and feedback service evaluation through an interactive interface, wherein the energy consumption data comprises real-time energy consumption data and historical energy consumption data.
Further, the generating historical energy consumption data based on the collected real-time energy consumption data includes: and calculating daily average energy consumption, weekly average energy consumption, monthly average energy consumption and annual average energy consumption, daily maximum energy consumption, weekly maximum energy consumption, monthly maximum energy consumption and annual maximum energy consumption of each energy consumption main body according to the collected real-time energy consumption data of each energy consumption main body.
Further, the integrated analysis of the collected energy consumption data includes:
according to the calculated daily average energy consumption, weekly average energy consumption, monthly average energy consumption and annual average energy consumption of each energy consumption main body, and the daily maximum energy consumption, weekly maximum energy consumption, monthly maximum energy consumption and annual maximum energy consumption, carrying out predictive analysis on the energy consumption of each energy consumption main body to form an energy consumption trend graph of each energy consumption main body;
carrying out energy consumption prediction according to the formed energy consumption trend graph, and generating a predicted energy consumption trend graph of each energy consumption main body;
and generating an energy supply scheme corresponding to each divided energy main body according to the generated predicted energy consumption trend graph of each energy main body.
Further, the method further comprises:
presetting a maximum energy consumption threshold of each energy consumption main body;
and alarming when the acquired real-time energy consumption data of the energy consumption main body exceeds a preset maximum energy consumption threshold or the energy consumption data in the predicted energy consumption trend graph of the energy consumption main body exceeds the preset maximum energy consumption threshold.
Further, the energy supply management of the divided areas includes: and regulating and controlling the power supply quantity and the load of the energy consumption main body according to the generated supply scheme.
Further, the integrated analysis of the collected energy consumption data further includes: and comparing the energy consumption data in the generated predicted energy consumption trend graph with the energy consumption data acquired in real time, and correcting the predicted energy consumption trend graph when the difference value between the energy consumption data in the predicted energy consumption trend graph and the energy consumption data acquired in real time exceeds a preset difference value range.
Further, the method further comprises:
collecting the operation rule of each power utilization main body;
based on the energy consumption rule of each power consumption main body, judging whether the predicted energy consumption trend graph is reasonable or not, and if not, giving an alarm.
On the other hand, the invention provides an intelligent energy service information interaction system which comprises an energy data acquisition module, an energy data analysis module, an energy main area planning module, an energy supply adjustment module and an energy data interaction module;
the energy data acquisition module is used for acquiring real-time energy consumption data of each energy consumption main body and generating historical energy consumption data based on the acquired real-time energy consumption data;
the energy data analysis module is used for carrying out integrated analysis on the collected real-time energy consumption data and the generated historical energy consumption data so as to generate a predicted energy consumption trend graph of each energy consumption main body;
the energy consumption main body planning module is used for dividing each energy consumption main body based on the predicted energy consumption trend graph of each energy consumption main body;
the energy supply adjusting module is used for carrying out energy supply management on each divided energy main body;
the energy data interaction module is used for providing an interaction interface so as to acquire energy consumption data, customize energy consumption service and feedback service evaluation through the interaction interface, wherein the energy consumption data comprises real-time energy consumption data and historical energy consumption data.
Further, the system also comprises an alarm module;
the alarm module is used for alarming when meeting any one of the following conditions:
when the real-time energy consumption data of the collected energy consumption main body exceeds a preset maximum energy consumption threshold value;
the energy consumption data in the predicted energy consumption trend graph of the energy consumption main body exceeds a preset maximum energy consumption threshold;
and predicting that the energy consumption trend graph does not accord with the energy consumption rule of each power consumption main body.
In yet another aspect, the present invention provides a computer readable storage medium storing a computer program which, when executed by a processor, implements a method as claimed in any one of the above methods.
The invention has the beneficial effects that: according to the invention, the real-time energy consumption data and the historical energy consumption data of each energy consumption main body are collected for analysis and prediction, and the energy consumption main bodies are divided based on analysis and prediction results, so that a management scheme is formulated, information islands and data redundancy are avoided, comprehensive perception, intelligent management and efficient utilization of urban energy are realized, thereby being beneficial to improving the energy utilization efficiency, reducing the energy consumption and being beneficial to sustainable development of cities.
And the user obtains real-time energy consumption data and historical energy consumption data through the interactive interface, and can customize the energy consumption service according to actual needs and feed back service evaluation, so that the personalized requirements of the user can be better met and the user experience is improved through the interactive mode of the user participation.
In addition, the invention has reliable design principle, simple structure and very wide application prospect.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart illustrating an intelligent energy service information interaction method according to an embodiment of the present invention.
FIG. 2 is a block diagram of an intelligent energy service information interaction system according to one embodiment of the present invention.
Detailed Description
In order to make the technical solution of the present invention better understood by those skilled in the art, the technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
Before further describing embodiments of the present application in detail, the terms and expressions that are referred to in the embodiments of the present application are described, and are suitable for the following explanation.
It should be noted that, the default power supply mode of the uninterruptible power supply switching system provided by the invention is to supply power by a utility grid.
Example 1:
as shown in fig. 1, the embodiment provides an intelligent energy service information interaction method, which includes the following steps:
s1, presetting a maximum energy consumption threshold of each energy consumption main body.
Specifically, the maximum energy consumption threshold of each energy consumption main body is set according to the load of the energy supply unit, the load of each energy consumption main body and the safety.
S2, collecting real-time energy consumption data of each energy consumption main body, and carrying out integrated analysis on the collected real-time energy consumption data and historical energy consumption data to generate a predicted energy consumption trend graph of each energy consumption main body.
The historical energy consumption data are data generated according to the collected real-time energy consumption data and the collection time, and a historical energy consumption data graph can be formed according to the historical data.
Specifically, acquiring real-time energy consumption data of each energy consumption main body, and generating a corresponding relation between the energy consumption data of each energy consumption main body and the acquisition time according to the acquired real-time energy consumption data and the acquisition time;
and calculating daily average energy consumption, weekly average energy consumption, monthly average energy consumption and annual average energy consumption, daily maximum energy consumption, weekly maximum energy consumption, monthly maximum energy consumption and annual maximum energy consumption of each energy consumption main body according to the corresponding relation between the energy consumption data and the acquisition time of each energy consumption main body.
And alarming when one or more of the acquired real-time energy consumption data of one or more energy consumption main bodies and the calculated daily maximum energy consumption, weekly maximum energy consumption, monthly maximum energy consumption and annual maximum energy consumption are larger than the preset corresponding maximum energy consumption threshold value.
For example, when the real-time energy consumption data of the energy consumption main body A is larger than the preset maximum energy consumption threshold value of the energy consumption main body A, alarming is carried out;
and when the real-time energy consumption data of the energy consumption main body A and the maximum energy consumption of the energy consumption main body A are both larger than the maximum energy consumption threshold, alarming is also carried out.
And S3, carrying out integrated analysis on the acquired real-time energy consumption data and the energy consumption data in the generated historical energy consumption data graph to generate a predicted energy consumption trend graph of each energy consumption main body.
Specifically, according to the calculated daily average energy consumption, weekly average energy consumption, monthly average energy consumption and annual average energy consumption of each energy consumption main body, and the daily maximum energy consumption, weekly maximum energy consumption, monthly maximum energy consumption and annual maximum energy consumption, the energy consumption of each energy consumption main body is predicted and analyzed, and an energy consumption trend graph of each energy consumption main body is formed.
Carrying out energy consumption prediction according to the formed energy consumption trend graph, and generating a predicted energy consumption trend graph of each energy consumption main body; and displaying the relation between time and energy consumption in the generated predicted energy consumption trend graph of each energy consumption main body.
And comparing the energy consumption data in the generated predicted energy consumption trend graph with the energy consumption data acquired in real time, and correcting the predicted energy consumption trend graph when the difference value between the energy consumption data in the predicted energy consumption trend graph and the energy consumption data acquired in real time exceeds a preset difference value range, so that the follow-up prediction is more accurate, the intellectualization is realized, and the energy utilization rate is improved.
And S4, dividing the energy consumption main body based on the predicted energy consumption trend graph of each energy consumption main body.
Specifically, the energy consumption subjects are divided according to the generated predicted energy consumption trend graph of each energy consumption subject, and may be divided into, for example, a high energy consumption subject, a medium energy consumption subject, and a low energy consumption subject.
And according to the generated and divided energy main bodies, manufacturing a corresponding energy supply scheme.
S5, performing energy supply management on each divided energy main body.
Specifically, according to the generated supply scheme, the power supply quantity and the load of the energy consumption main body are regulated and controlled.
S6, acquiring energy consumption data, customizing energy consumption service and feedback service evaluation through an interactive interface, wherein the energy consumption data comprises real-time energy consumption data and historical energy consumption data.
Specifically, the user obtains real-time energy consumption data and historical energy consumption data through the interactive interface, and can customize the energy consumption service and feed back service evaluation according to actual needs, so that the personalized requirements of the user can be better met through the interactive mode of the user participation, and the user experience is improved.
The embodiment further includes collecting operation rules of each power consumption main body, and obtaining an energy consumption rule of each power consumption main body according to the collected operation rules of each power consumption main body. For example, for an industrial area, the power consumption rule of a factory can be obtained by collecting the operation rule of the industrial area.
Based on the energy consumption rule of each power consumption main body, judging whether the predicted energy consumption trend graph is reasonable or not, and if not, giving an alarm.
According to the invention, the real-time energy consumption data and the historical energy consumption data of each energy consumption main body are collected for analysis and prediction, and the energy consumption main bodies are divided based on analysis and prediction results, so that a management scheme is formulated, information islands and data redundancy are avoided, comprehensive perception, intelligent management and efficient utilization of urban energy are realized, thereby being beneficial to improving the energy utilization efficiency, reducing the energy consumption and being beneficial to sustainable development of cities.
In addition, the user obtains real-time energy consumption data and historical energy consumption data through the interactive interface, and can customize the energy consumption service and feed back service evaluation according to actual needs, so that the personalized requirements of the user can be better met through the interactive mode of the user participation, and the user experience is improved.
Example 2:
as shown in fig. 2, the present embodiment provides an intelligent energy service information interaction system, which includes:
the energy data acquisition module 1 is used for acquiring real-time energy consumption data of each energy consumption main body and generating historical energy consumption data based on the acquired real-time energy consumption data.
And the energy data analysis module 2 is used for carrying out integrated analysis on the collected real-time energy consumption data and the generated historical energy consumption data so as to generate a predicted energy consumption trend graph of each energy consumption main body.
And the energy consumption main body planning module 3 is used for dividing each energy consumption main body based on the predicted energy consumption trend graph of each energy consumption main body.
And the energy supply adjusting module 4 is used for carrying out energy supply management on each divided energy utilization main body.
And the energy data interaction module 5 is used for providing an interaction interface so as to acquire energy consumption data, customize energy consumption service and feedback service evaluation through the interaction interface, wherein the energy consumption data comprises real-time energy consumption data and historical energy consumption data.
An alarm module 6, configured to alarm when any one of the following conditions is met:
when the real-time energy consumption data of the collected energy consumption main body exceeds a preset maximum energy consumption threshold value;
the energy consumption data in the predicted energy consumption trend graph of the energy consumption main body exceeds a preset maximum energy consumption threshold.
According to the invention, the energy data acquisition module acquires the real-time energy consumption data and the historical energy consumption data of each energy consumption main body to analyze and predict, and the energy consumption main body is divided based on analysis and prediction results to formulate a management scheme, so that information islands and data redundancy are avoided, comprehensive perception, intelligent management and efficient utilization of urban energy are realized, thereby being beneficial to improving the energy utilization efficiency, reducing the energy consumption and being beneficial to the sustainable development of cities.
And the user obtains real-time energy consumption data and historical energy consumption data through the interactive interface, and can customize the energy consumption service and feed back service evaluation according to actual needs, so that the personalized requirements of the user can be better met through the interactive mode of the user participation, and when the real-time energy consumption data of the energy consumption main body and the energy consumption data in the energy consumption trend graph exceed a preset threshold value, the alarm gives an alarm, so that the user experience is improved.
Example 3:
the present embodiment provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the method described in embodiment 1.
These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
It should be noted that, in the method of the embodiments of the present disclosure shown in the flowchart of the drawings or the corresponding description in the block diagrams, operations or steps corresponding to different blocks may also occur in different orders than that disclosed in the description, and sometimes no specific order exists between the different operations or steps. For example, two consecutive operations or steps may actually be performed substantially in parallel, they may sometimes be performed in reverse order, which may be dependent on the functions involved. Each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Although the present invention has been described in detail by way of preferred embodiments with reference to the accompanying drawings, the present invention is not limited thereto. Various equivalent modifications and substitutions may be made in the embodiments of the present invention by those skilled in the art without departing from the spirit and scope of the present invention, and it is intended that all such modifications and substitutions be within the scope of the present invention/be within the scope of the present invention as defined by the appended claims. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. An intelligent energy service information interaction method is characterized by comprising the following steps:
step one, collecting real-time energy consumption data of each energy consumption main body;
step two, carrying out integrated analysis on the collected real-time energy consumption data and the historical energy consumption data to generate a predicted energy consumption trend graph of each energy consumption main body;
dividing the energy consumption main body based on the predicted energy consumption trend graph of each energy consumption main body;
step four, energy supply management is carried out on each divided energy main body;
and fifthly, acquiring energy consumption data, customizing energy consumption service and feedback service evaluation through an interactive interface, wherein the energy consumption data comprises real-time energy consumption data and historical energy consumption data.
2. The intelligent energy service information interaction method according to claim 1, wherein,
the historical energy consumption data includes: and calculating daily average energy consumption, weekly average energy consumption, monthly average energy consumption and annual average energy consumption, daily maximum energy consumption, weekly maximum energy consumption, monthly maximum energy consumption and annual maximum energy consumption of each energy consumption main body according to the collected real-time energy consumption data of each energy consumption main body.
3. The intelligent energy service information interaction method according to claim 2, wherein the integrated analysis of the collected real-time energy consumption data and the historical energy consumption data comprises:
according to the calculated daily average energy consumption, weekly average energy consumption, monthly average energy consumption and annual average energy consumption of each energy consumption main body, and the daily maximum energy consumption, weekly maximum energy consumption, monthly maximum energy consumption and annual maximum energy consumption, carrying out predictive analysis on the energy consumption of each energy consumption main body to form an energy consumption trend graph of each energy consumption main body;
carrying out energy consumption prediction according to the formed energy consumption trend graph, and generating a predicted energy consumption trend graph of each energy consumption main body;
and generating an energy supply scheme corresponding to each divided energy main body according to the generated predicted energy consumption trend graph of each energy main body.
4. The intelligent energy service information interaction method according to claim 1, wherein the method further comprises:
presetting a maximum energy consumption threshold of each energy consumption main body;
and alarming when the acquired real-time energy consumption data of the energy consumption main body exceeds a preset maximum energy consumption threshold or the energy consumption data in the predicted energy consumption trend graph of the energy consumption main body exceeds the preset maximum energy consumption threshold.
5. The intelligent energy service information interaction method according to claim 3, wherein the performing energy supply management on the divided areas comprises: and regulating and controlling the power supply quantity and the load of the energy consumption main body according to the generated supply scheme.
6. The intelligent energy service information interaction method according to claim 3, wherein the integrated analysis of the collected energy consumption data further comprises: and comparing the energy consumption data in the generated predicted energy consumption trend graph with the energy consumption data acquired in real time, and correcting the predicted energy consumption trend graph when the difference value between the energy consumption data in the predicted energy consumption trend graph and the energy consumption data acquired in real time exceeds a preset difference value range.
7. The intelligent energy service information interaction method according to claim 1, wherein the method further comprises:
collecting the operation rule of each power utilization main body;
based on the energy consumption rule of each power consumption main body, judging whether the predicted energy consumption trend graph is reasonable or not, and if not, giving an alarm.
8. The intelligent energy service information interaction system is characterized by comprising an energy data acquisition module, an energy data analysis module, an energy main area planning module, an energy supply adjustment module and an energy data interaction module;
the energy data acquisition module is used for acquiring real-time energy consumption data of each energy consumption main body and generating historical energy consumption data based on the acquired real-time energy consumption data;
the energy data analysis module is used for carrying out integrated analysis on the collected real-time energy consumption data and the generated historical energy consumption data so as to generate a predicted energy consumption trend graph of each energy consumption main body;
the energy consumption main body planning module is used for dividing each energy consumption main body based on the predicted energy consumption trend graph of each energy consumption main body;
the energy supply adjusting module is used for carrying out energy supply management on each divided energy main body;
the energy data interaction module is used for providing an interaction interface so as to acquire energy consumption data, customize energy consumption service and feedback service evaluation through the interaction interface, wherein the energy consumption data comprises real-time energy consumption data and historical energy consumption data.
9. The intelligent energy service information interaction system of claim 8, wherein the system further comprises an alarm module;
the alarm module is used for alarming when meeting any one of the following conditions:
when the real-time energy consumption data of the collected energy consumption main body exceeds a preset maximum energy consumption threshold value;
the energy consumption data in the predicted energy consumption trend graph of the energy consumption main body exceeds a preset maximum energy consumption threshold;
and predicting that the energy consumption trend graph does not accord with the energy consumption rule of each power consumption main body.
10. A computer readable storage medium storing a computer program, characterized in that the program, when executed by a processor, implements the method according to any one of claims 1 to 7.
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