CN114881463A - Intelligent energy management method and system based on Internet of things - Google Patents
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Abstract
The invention discloses an intelligent energy management method and system based on the Internet of things, and relates to the field related to intelligent management of community energy, wherein a first energy use acquisition result of a first user is obtained, and a first classification analysis result is obtained; obtaining a second energy usage acquisition result of the first community; performing energy classification time interval identification according to the second energy use acquisition result to obtain a first identification result; inputting the first classification analysis result and the first identification result into an energy intelligent time interval adjustment model to obtain a first output result; performing energy use evaluation on the first energy use acquisition result to obtain a first evaluation result; and performing energy intelligent management on the first user according to the first output result and the first evaluation result. The technical problems that accurate monitoring of energy use in communities is lacked in the prior art, and further community energy use management is lacked in pertinence, and the community energy use distribution is unreasonable are solved.
Description
Technical Field
The invention relates to the field related to intelligent management of community energy, in particular to an intelligent energy management method and system based on the Internet of things.
Background
With the popularization and development of the internet of things technology, the intelligent community construction advances into a new stage, and the intellectualization, digitization and standardization of the community become the trend of community construction optimization. In the process of constructing the digital community, the optimization of energy use of community users is also an urgent problem to be solved.
The energy use monitoring in the community that is accurate lacks among the prior art, and then leads to lacking the pertinence and carries out community energy use management, and the energy of community uses the unreasonable technical problem that distributes.
Disclosure of Invention
The intelligent energy management method and system based on the Internet of things solve the technical problems that accurate monitoring of energy use in communities is lacked in the prior art, and further the community energy use management is lacked in pertinence, and the distribution of community energy use is unreasonable.
In view of the above problems, the present application provides an intelligent energy management method and system based on the internet of things.
In a first aspect, the application provides an intelligent energy management method based on the internet of things, which is applied to an intelligent community energy management system, and the method includes: acquiring energy use information of a first user through the community energy intelligent management system to obtain a first energy use acquisition result of the first user, wherein the first user is a resident of a first community; performing energy classification analysis on the first energy use acquisition result to obtain a first classification analysis result; obtaining a second energy usage acquisition result of the first community; performing energy classification time interval identification according to the second energy use acquisition result to obtain a first identification result; inputting the first classification analysis result and the first identification result into an energy intelligent time period adjustment model to obtain a first output result; performing energy use evaluation on the first energy use acquisition result to obtain a first evaluation result; and performing energy intelligent management on the first user according to the first output result and the first evaluation result.
On the other hand, this application still provides an wisdom energy management system based on thing networking, the system includes: the community energy intelligent management system comprises a first obtaining unit, a second obtaining unit and a control unit, wherein the first obtaining unit is used for collecting energy use information of a first user through the community energy intelligent management system and obtaining a first energy use collection result of the first user, and the first user is a resident of a first community; the first analysis unit is used for carrying out energy classification analysis on the first energy use acquisition result to obtain a first classification analysis result; a second obtaining unit, configured to obtain a second energy usage acquisition result of the first community; the first identification unit is used for carrying out energy classification time interval identification according to the second energy use acquisition result to obtain a first identification result; the first input unit is used for inputting the first classification analysis result and the first identification result into an energy intelligent time period adjustment model to obtain a first output result; the first evaluation unit is used for evaluating the energy usage of the first energy usage collection result to obtain a first evaluation result; and the first management unit is used for performing energy intelligent management on the first user according to the first output result and the first evaluation result.
In a third aspect, the present application provides an electronic device, comprising: a processor coupled to a memory, the memory for storing a program that, when executed by the processor, performs the steps of the method of any of the first aspects.
In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of any one of the first aspect.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the community energy intelligent management system is used for collecting the energy use information of the first user to obtain a first energy use collection result of the first user, wherein the first user is a resident of the first community; performing energy classification analysis on the first energy use acquisition result to obtain a first classification analysis result; obtaining a second energy usage acquisition result of the first community; performing energy classification time interval identification according to the second energy use acquisition result to obtain a first identification result; inputting the first classification analysis result and the first identification result into an energy intelligent time period adjustment model to obtain a first output result; performing energy use evaluation on the first energy use acquisition result to obtain a first evaluation result; and performing energy intelligent management on the first user according to the first output result and the first evaluation result. Through carrying out accurate interior energy use analysis of community, and then realize intelligent energy and use the period suggestion that distributes for the energy use management of community is more intelligent technological effect.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
Fig. 1 is a schematic flowchart illustrating a smart energy management method based on the internet of things according to the present application;
fig. 2 is a schematic flow chart illustrating a first type of energy usage alternative suggestion obtained by the intelligent energy management method based on the internet of things according to the present application;
fig. 3 is a schematic flowchart illustrating a first classification analysis result obtained by the smart energy management method based on the internet of things according to the present application;
fig. 4 is a schematic diagram illustrating a process of obtaining a second output result of the smart energy management method based on the internet of things according to the present application;
fig. 5 is a schematic structural diagram of an intelligent energy management system based on the internet of things according to the present application;
fig. 6 is a schematic structural diagram of an electronic device according to the present application.
Description of reference numerals: the system comprises a first obtaining unit 11, a first analyzing unit 12, a second obtaining unit 13, a first identifying unit 14, a first input unit 15, a first evaluating unit 16, a first managing unit 17, an electronic device 50, a processor 51, a memory 52, an input device 53 and an output device 54.
Detailed Description
The intelligent energy management method and system based on the Internet of things solve the technical problems that accurate monitoring of energy use in communities is lacked in the prior art, and further the community energy use management is lacked in pertinence, and the distribution of community energy use is unreasonable. Embodiments of the present application are described below with reference to the accompanying drawings. As can be appreciated by those skilled in the art, with the development of technology and the emergence of new scenarios, the technical solutions provided in the present application are also applicable to similar technical problems.
The terms "first," "second," and the like in the description and in the claims of the present application and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances and are merely descriptive of the various embodiments of the application and how objects of the same nature can be distinguished. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of elements is not necessarily limited to those elements, but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Summary of the application
Energy management is the general term for scientific planning, organization, inspection, control and supervision of the overall process of production, distribution, conversion and consumption of energy. The energy use monitoring in the community that is accurate lacks among the prior art, and then leads to lacking the pertinence and carries out community energy use management, and the energy of community uses the unreasonable technical problem that distributes.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the application provides an intelligent energy management method based on the Internet of things, which is applied to an intelligent community energy management system and comprises the following steps: acquiring energy use information of a first user through the community energy intelligent management system to obtain a first energy use acquisition result of the first user, wherein the first user is a resident of a first community; performing energy classification analysis on the first energy use acquisition result to obtain a first classification analysis result; obtaining a second energy usage acquisition result of the first community; performing energy classification time interval identification according to the second energy use acquisition result to obtain a first identification result; inputting the first classification analysis result and the first identification result into an energy intelligent time period adjustment model to obtain a first output result; performing energy use evaluation on the first energy use acquisition result to obtain a first evaluation result; and performing energy intelligent management on the first user according to the first output result and the first evaluation result.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, the present application provides an intelligent energy management method based on the internet of things, which is applied to an intelligent community energy management system, and the method includes:
step S100: acquiring energy use information of a first user through the community energy intelligent management system to obtain a first energy use acquisition result of the first user, wherein the first user is a resident of a first community;
step S200: performing energy classification analysis on the first energy use acquisition result to obtain a first classification analysis result;
particularly, energy wisdom management system of community is for carrying out intelligent monitoring, analysis, distribution, the system of adjustment control of the energy, first user is the resident family in the first community, the target community of first community for carrying out energy wisdom management, just all users' energy use consumption information all can gather through thing networking equipment in the first community. The first user is any user in the first community, the energy use information of the first user is collected, and a first energy use collection result is obtained, wherein the first energy use collection result comprises an electric energy use collection result, a gas use collection result and the like.
Further, the first energy usage collection result further includes actual usage classification information of different energy sources, such as consumption time identification information of electric energy, consumed electrical appliance information, and the like. And obtaining the first classification analysis result according to the consumed time period, the consumed amount and the consumed equipment information. Through the acquisition of the energy use information of the user, data support is provided for the subsequent accurate energy use management.
Step S300: obtaining a second energy usage acquisition result of the first community;
step S400: performing energy classification time interval identification according to the second energy use acquisition result to obtain a first identification result;
specifically, the second energy usage collection result is a community overall energy usage distribution result of the first community. The second energy use acquisition result does not pay attention to specific energy use items, and only pays attention to the change relation between the consumption of each energy and time. And analyzing and processing the second energy adaptive acquisition result based on time, and classifying and processing the time periods according to the energy use condition in the first community at each time period.
Generally, the energy source for performing the energy period analysis is a large-consumption energy source, that is, an energy source with a short energy supply, generally, electric energy, which is used as the first type of energy source. And carrying out load identification on the use time period of the electric energy, and obtaining the use time period load identification result of the first community, namely the first identification result, based on the actual load identification result. And by obtaining the first identification result, data support is provided for subsequent accurate power utilization management and power utilization suggestion.
Step S500: inputting the first classification analysis result and the first identification result into an energy intelligent time period adjustment model to obtain a first output result;
step S600: performing energy use evaluation on the first energy use acquisition result to obtain a first evaluation result;
step S700: and performing energy intelligent management on the first user according to the first output result and the first evaluation result.
Specifically, the energy intelligent time period adjustment model is a model for performing intelligent energy use time and use type allocation suggestion according to an energy use classification result, the model is constructed through multiple constraint rules, energy use time period suggestion is performed according to a time period peak value evaluation regulation and control rule, and the first output result is obtained according to an evaluation result.
Further, the energy intelligent time interval adjustment model further comprises a correction result of the peak energy alternative usage, that is, when the peak first type energy usage is judged to exceed an expected threshold, the second type energy is replaced for the first type energy which can be replaced, and the first output result is obtained according to the alternative result. And performing energy use evaluation on the first energy use acquisition result, wherein the energy use evaluation comprises total use amount evaluation, equipment consumption evaluation and the like. And obtaining the first evaluation result according to the evaluation result. And sending the first evaluation result and the first output result to the first user, and performing intelligent energy adjustment suggestion on the first user. Through carrying out user's energy use information acquisition based on the thing networking, carry out the wisdom suggestion of energy use period, use amount, in service behavior according to the acquisition result, and then realize the technological effect of the wisdom management of the energy in the community.
Further, as shown in fig. 2, step S500 of the present application further includes:
step S510: judging whether the first type energy identification information in the first identification result meets a first preset peak value or not;
step S520: when the first type of energy identification information meets the first preset peak value, first identification time period information is obtained;
step S530: performing alternative energy usage analysis on the first energy usage acquisition result according to the first identification period information to obtain a first usage analysis result;
step S540: and performing a first type of energy use replacement suggestion of the first user according to the first use analysis result.
Specifically, the first type of energy is electric energy, the electric energy identification result of the first community is analyzed according to the first identification result, and whether a time interval meeting a first preset peak value exists in the time interval of the whole day or not is judged. And when the identification information of the electric energy has a time interval meeting the first preset peak value, obtaining a time interval corresponding to the meeting of the first preset peak value, namely the first identification time interval. The first identification time period indicates that the electric energy utilization load of the first community is higher at the moment, and the adjustment or balance analysis of the electric energy load is needed at the moment.
Further, when a time interval meeting the first preset peak value occurs, analyzing the actual electric energy use condition of the user in the whole community, taking the first user as an example, analyzing the first energy use acquisition result in the first identification time interval, wherein the analysis content comprises two parts, and the first part is an electric energy device which can be used in the time interval in a replaceable manner, such as a charged electric vehicle; the second part is equipment which can replace energy sources, such as a water heater loaded with electric energy and gas double heating. And obtaining the first use analysis result according to the analysis and the result, and carrying out the first type energy use replacement suggestion of the first user according to the first use analysis result. The intelligent energy management system has the advantages that the change suggestion is carried out through the replaceable energy sources and the use information with the time capable of being changed, and the technical effect of intelligent energy use management is achieved.
Further, the performing energy classification analysis on the first energy usage collection result to obtain a first classification analysis result, as shown in fig. 3, step S200 of the present application further includes:
step S210: classifying the energy types according to the first energy use acquisition result to obtain a first type analysis result;
step S220: performing energy use purpose analysis on each kind of energy in the first kind of analysis result, and performing energy adjustment identification according to the use purpose analysis result to obtain a first adjustment identification result;
step S230: and obtaining the first classification analysis result according to the first adjustment identification result.
Specifically, the energy type is classified into a process of performing a large-direction classification of energy, i.e., a classification of a type of energy, such as electric energy, gas energy. The energy use condition of the user is preliminarily classified, and support is provided for better energy use analysis in the follow-up process. And developing and analyzing each type in the first type analysis result to obtain the actual use of each type of energy. For example, taking a first user as an example, monitoring the energy usage of the first user on one day is first classified into the following categories: electric energy, gas energy. The use purposes of the electric energy comprise: lamps, computers, televisions, air conditioners, refrigerators, washing machines, automobile charging, water heaters; the use application of the gas energy comprises: gas-cooker, water heater.
And performing adjustable identification on the use purpose of the first user, and obtaining the first classification analysis result according to the adjustable identification result. The adjustable identification includes a time period adjustable and an energy use conversion adjustable. The period adjustable content includes: charging a washing machine and an automobile; the energy usage is adjustable including a water heater. And obtaining the first classification analysis result according to the first adjustment identification result. By carrying out the identification that the time interval can be adjusted and the energy use can be adjusted, data support is provided for the follow-up accurate energy management.
Further, as shown in fig. 4, step S500 of the present application further includes:
step S550: performing adjustable power utilization information identification according to the first classification analysis result to obtain a first adjustable identification result;
step S560: obtaining a first usage plan of the first user according to the first adjustable identification result;
step S570: obtaining a first adjusted time constraint according to the first usage plan;
step S580: adjusting the first output result according to the first adjustment time constraint condition to obtain a second output result;
step S590: performing intelligent energy management of the first user according to the second output result
Specifically, the first adjustable identification result is an identification result that can be adjusted in the power consumption period in the first classification analysis result. When the actual power utilization information of the first user includes a superposed power utilization part meeting an expected threshold with the load in the first identification result time period, and the superposed power utilization part includes an adjustable power utilization identification, the adjustment suggestion is made according to the result of the adjustable power utilization identification of the first user.
In order to make the adjustment suggestions more accurate for the user, further information acquisition is therefore required for the first user. Taking the above example as an example, when (20-22 points) is taken as an example in a period in which the electrical load exceeds the expected threshold, the first user has an adjustable identification of car charging. And obtaining a first vehicle plan of the first user at the moment, wherein the first vehicle plan is 10 points on the next day, and the full-charge time of the vehicle is 6 hours. The first user's adjustable starting charge period is 22 to 4 points. And adjusting the first output result by taking the use plan of the user and the electricity utilization interval of the equipment as constraint conditions to obtain a second output result. The output result is corrected by combining the power utilization plan of the user, so that the obtained power utilization adjustment suggestion is more adaptive to the user, and support is provided for intelligent management of energy.
Further, the step S600 of evaluating the energy usage of the first energy usage collection result to obtain a first evaluation result further includes:
step S610: performing energy use total amount evaluation on the first user according to the first energy use acquisition result to obtain a first total amount evaluation result;
step S620: evaluating the energy consumption of the equipment according to the first energy consumption acquisition result to obtain a first equipment energy consumption evaluation result;
step S630: and obtaining the first evaluation result according to the first total quantity evaluation result and the first equipment energy consumption evaluation result.
Specifically, the total energy usage amount is evaluated as an average total electricity usage amount per person for each user in the first community. And obtaining the average evaluation value of the single energy for the first community. And measuring the total energy consumption of the first user to obtain a total counting result, averaging the total technical result with the average value of each family member of the first user to obtain a per-person electricity utilization value, and obtaining the first total evaluation result according to the difference value between the per-person electricity utilization value and the average evaluation value.
Further, the equipment energy consumption evaluation consumption is an evaluation result of abnormal power consumption in the equipment use process. The method comprises the steps of constructing a preset equipment evaluation database, such as a power consumption evaluation database of refrigerator equipment, obtaining a first preset use evaluation database according to the type of the refrigerator, the use time information and the power consumption information, measuring the actual power consumption information of the refrigerator of a first user, comparing the actual power consumption information with the first preset use evaluation database, and reporting the abnormal power consumption information of the refrigerator of the first user when a preset value exceeding an expected interval exists, so as to obtain an energy consumption evaluation result of the first equipment.
And taking the first equipment energy consumption evaluation result and the first total quantity evaluation result as the first evaluation result. By evaluating the total power consumption of the user and evaluating the power consumption of the equipment, the power consumption of the user can be analyzed in a targeted manner, accurate prompt and early warning of the energy consumption of the user are carried out, and support is provided for intelligent energy management.
Further, step S800 of the present application further includes:
step S810: obtaining a first feedback adjustment plan for the first user;
step S820: obtaining a first change time interval according to the first feedback adjustment plan and the first energy use acquisition result;
step S830: adjusting and evaluating the first change time interval according to the second energy use acquisition result to obtain a first adjustment evaluation result;
step S840: and obtaining a first reward result according to the first adjustment evaluation result.
Specifically, the first feedback adjustment plan is a feedback result obtained by adaptively adjusting the first output result received by the first user. And obtaining the equipment adjusted by the first user and the adjustment change time interval of the equipment according to the first energy use acquisition result of the first user and the first feedback adjustment plan. And adjusting and evaluating the first change time interval according to the load identifier of the second energy use acquisition result to obtain a first adjustment evaluation result.
Further, the first adjustment evaluation result is an overall evaluation of the overall power load assistance after the adjustment of the usage plan of the first user. When the first user adjusts the peak load power consumption to the valley load power consumption, the power consumption plan adjustment of the first user has a larger energy period adjustment meaning, and power consumption preferential compensation based on idle power consumption is correspondingly performed according to the adjustment evaluation result of the first user, namely the first reward result. Through the setting of first reward result promotes the user to carry out the idle time power consumption of adjustable equipment, and then reduces load peak power consumption, improves the wisdom management effect of the energy.
Further, step S800 of the present application further includes:
step S850: obtaining a set of user feedback adjustment plans for the first community;
step S860: performing optimal allocation combining with a user feedback adjustment interval according to the user feedback adjustment plan set to obtain a first optimal allocation result;
step S870: and feeding back the first optimization allocation result to users of the first community.
Specifically, for better intelligent management of user-callable power within a community, intelligent distribution is performed for a plan for which the user can accept feedback adjustments. When the feedback adjustment plan set of the user comprises the flexible time intervals, according to each flexible time interval, the power utilization centralized optimization distribution is carried out by combining the actually adjusted power utilization plan, and for the secondary load interval, if: and the power distribution of the flexible time interval is reduced in the interval from the 22 point to the 0 point, and the main flexible time interval distribution is carried out on the idle time load interval after the 0 point so as to ensure the stable power operation of the secondary load interval and avoid the sudden increase of the power load of the secondary load interval from influencing the power consumption experience. By carrying out optimized distribution of the power utilization plan of the user, the obtained power utilization adjustment result is more concentrated on idle time load, and a foundation is laid for intelligent energy management.
In summary, the intelligent energy management method based on the internet of things provided by the application has the following technical effects:
1. the community energy intelligent management system is used for collecting the energy use information of the first user to obtain a first energy use collection result of the first user, wherein the first user is a resident of the first community; performing energy classification analysis on the first energy use acquisition result to obtain a first classification analysis result; obtaining a second energy usage acquisition result of the first community; performing energy classification time interval identification according to the second energy use acquisition result to obtain a first identification result; inputting the first classification analysis result and the first identification result into an energy intelligent time interval adjustment model to obtain a first output result; performing energy use evaluation on the first energy use acquisition result to obtain a first evaluation result; and performing energy intelligent management on the first user according to the first output result and the first evaluation result. Through carrying out accurate interior energy use analysis of community, and then realize intelligent energy and use the period suggestion that distributes for the energy use management of community is more intelligent technological effect.
2. The intelligent energy use management system has the advantages that the change suggestion is carried out through the replaceable energy sources of the energy sources and the use information with the time capable of being changed, and the technical effect of intelligent energy use management is achieved.
3. By carrying out the identification that the time interval can be adjusted and the energy use can be adjusted, data support is provided for the follow-up accurate energy management.
4. The output result is corrected by combining the power utilization plan of the user, so that the obtained power utilization adjustment suggestion is more adaptive to the user, and support is provided for intelligent management of energy.
5. By evaluating the total power consumption of the user and evaluating the power consumption of the equipment, the power consumption of the user can be analyzed in a targeted manner, accurate prompt and early warning of the energy consumption of the user are carried out, and support is provided for intelligent energy management.
6. Through the setting of first reward result promotes the user to carry out the idle time power consumption of adjustable equipment, and then reduces load peak power consumption, improves the wisdom management effect of the energy.
Example two
Based on the same inventive concept as the method for intelligent energy management based on the internet of things in the foregoing embodiments, the present invention further provides an intelligent energy management system based on the internet of things, as shown in fig. 5, the system includes:
the first obtaining unit 11 is configured to collect energy usage information of a first user through a community energy smart management system, and obtain a first energy usage collection result of the first user, where the first user is a resident of a first community;
the first analysis unit 12, the first analysis unit 12 is configured to perform energy classification analysis on the first energy usage collection result to obtain a first classification analysis result;
a second obtaining unit 13, wherein the second obtaining unit 13 is configured to obtain a second energy usage collection result of the first community;
the first identification unit 14, the first identification unit 14 is configured to perform energy classification time interval identification according to the second energy usage acquisition result to obtain a first identification result;
the first input unit 15 is configured to input the first classification analysis result and the first identification result into an energy intelligent time period adjustment model to obtain a first output result;
a first evaluation unit 16, where the first evaluation unit 16 is configured to perform energy usage evaluation on the first energy usage collection result to obtain a first evaluation result;
a first management unit 17, wherein the first management unit 17 is configured to perform energy intelligence management of the first user according to the first output result and the first evaluation result.
Further, the system further comprises:
the first judging unit is used for judging whether the first type of energy identification information in the first identification result meets a first preset peak value or not;
a third obtaining unit, configured to obtain first identification period information when the first type of energy identification information satisfies the first preset peak value;
a fourth obtaining unit, configured to perform, according to the first identification period information, alternative energy usage analysis on the first energy usage acquisition result to obtain a first usage analysis result;
a fifth obtaining unit, configured to make a first type of energy usage replacement suggestion for the first user according to the first usage analysis result.
Further, the system further comprises:
a sixth obtaining unit, configured to classify the energy type according to the first energy usage acquisition result to obtain a first type analysis result;
a seventh obtaining unit, configured to perform energy usage purpose analysis on each type of energy in the first type analysis result, perform energy adjustment identification according to the usage purpose analysis result, and obtain a first adjustment identification result;
an eighth obtaining unit, configured to obtain the first classification analysis result according to the first adjustment identification result.
Further, the system further comprises:
a ninth obtaining unit, configured to perform adjustable power consumption information identification according to the first classification analysis result, and obtain a first adjustable identification result;
a tenth obtaining unit, configured to obtain a first usage plan of the first user according to the first adjustable identification result;
an eleventh obtaining unit configured to obtain a first adjustment time constraint condition according to the first usage plan;
a twelfth obtaining unit, configured to perform adjustment on the first output result according to the first adjustment time constraint condition, and obtain a second output result;
and the second management unit is used for performing intelligent energy management on the first user according to the second output result.
Further, the system further comprises:
a thirteenth obtaining unit, configured to perform energy usage total amount evaluation on the first user according to the first energy usage collection result, and obtain a first total amount evaluation result;
a fourteenth obtaining unit, configured to perform equipment energy usage consumption evaluation according to the first energy usage acquisition result, and obtain a first equipment energy usage consumption evaluation result;
a fifteenth obtaining unit, configured to obtain the first evaluation result according to the first total amount evaluation result and the first device energy usage consumption evaluation result.
Further, the system further comprises:
a sixteenth obtaining unit, configured to obtain a first feedback adjustment plan of the first user;
a seventeenth obtaining unit, configured to obtain a first variation time interval according to the first feedback adjustment plan and the first energy usage acquisition result;
an eighteenth obtaining unit, configured to perform adjustment evaluation on the first variation time interval according to the second energy usage acquisition result, so as to obtain a first adjustment evaluation result;
a nineteenth obtaining unit to obtain a first bonus result based on the first adjusted rating result.
Further, the system further comprises:
a twentieth obtaining unit, configured to obtain a set of user feedback adjustment plans for the first community;
a twenty-first obtaining unit, configured to perform, according to the user feedback adjustment plan set, optimal allocation in combination with a user feedback adjustment interval to obtain a first optimal allocation result;
a first feedback unit, configured to feed back the first optimized allocation result to a user of the first community.
Various changes and specific examples of the intelligent energy management method based on the internet of things in the first embodiment of fig. 1 are also applicable to the intelligent energy management system based on the internet of things in the present embodiment, and through the foregoing detailed description of the intelligent energy management method based on the internet of things, those skilled in the art can clearly know the implementation method of the intelligent energy management system based on the internet of things in the present embodiment, so for the brevity of the description, detailed descriptions are omitted here.
Exemplary electronic device
The electronic device of the present application is described below with reference to fig. 6.
Fig. 6 illustrates a structural schematic of an electronic device according to the present application.
Based on the inventive concept of the intelligent energy management method based on the internet of things in the foregoing embodiment, the invention further provides an electronic device, and the electronic device according to the present application is described below with reference to fig. 6. The electronic device may be a removable device itself or a stand-alone device independent thereof, on which a computer program is stored which, when being executed by a processor, carries out the steps of any of the methods as described hereinbefore.
As shown in fig. 6, the electronic device 50 includes one or more processors 51 and a memory 52.
The processor 51 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device 50 to perform desired functions.
The memory 52 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, Random Access Memory (RAM), cache memory (cache), and/or the like. The non-volatile memory may include, for example, Read Only Memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium and executed by the processor 51 to implement the methods of the various embodiments of the application described above and/or other desired functions.
In one example, the electronic device 50 may further include: an input device 53 and an output device 54, which are interconnected by a bus system and/or other form of connection mechanism (not shown).
The embodiment of the invention provides an intelligent energy management method based on the Internet of things, which is applied to an intelligent community energy management system and comprises the following steps: acquiring energy use information of a first user through the community energy intelligent management system to obtain a first energy use acquisition result of the first user, wherein the first user is a resident of a first community; performing energy classification analysis on the first energy use acquisition result to obtain a first classification analysis result; obtaining a second energy usage acquisition result of the first community; performing energy classification time interval identification according to the second energy use acquisition result to obtain a first identification result; inputting the first classification analysis result and the first identification result into an energy intelligent time period adjustment model to obtain a first output result; performing energy use evaluation on the first energy use acquisition result to obtain a first evaluation result; and performing energy intelligent management on the first user according to the first output result and the first evaluation result. The problem of lack among the prior art carry out accurate community in the energy use monitoring, and then lead to lacking the pertinence and carry out the energy use management of community, the unreasonable technical problem of community energy use distribution through carrying out accurate community in the energy use analysis, and then realize that intelligent energy uses the period suggestion that distributes for the energy use management of community is more intelligent is solved.
Through the above description of the embodiments, those skilled in the art will clearly understand that the present application can be implemented by software plus necessary general-purpose hardware, and certainly can also be implemented by special-purpose hardware including special-purpose integrated circuits, special-purpose CPUs, special-purpose memories, special-purpose components and the like. Generally, functions performed by computer programs can be easily implemented by corresponding hardware, and specific hardware structures for implementing the same functions may be various, such as analog circuits, digital circuits, or dedicated circuits. However, for the present application, the implementation of a software program is more preferable. Based on such understanding, the technical solutions of the present application may be substantially embodied in the form of a software product, which is stored in a readable storage medium, such as a floppy disk, a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk of a computer, and includes several instructions for causing a computer device to execute the method according to the embodiments of the present application.
In the above embodiments, all or part of the implementation may be realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product.
The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the procedures or functions described in accordance with the present application are generated, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on or transmitted from a computer-readable storage medium to another computer-readable storage medium, which may be magnetic (e.g., floppy disks, hard disks, tapes), optical (e.g., DVDs), or semiconductor (e.g., Solid State Disks (SSDs)), among others.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the inherent logic, and should not constitute any limitation to the implementation process of the present application.
Additionally, the terms "system" and "network" are often used interchangeably herein. The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
It should be understood that in this application, "B corresponding to A" means that B is associated with A, from which B can be determined. It should also be understood that determining B from a does not mean determining B from a alone, but may be determined from a and/or other information.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In short, the above description is only a preferred embodiment of the present disclosure, and is not intended to limit the scope of the present disclosure. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. An intelligent energy management method based on the Internet of things is applied to a community intelligent energy management system, and comprises the following steps:
acquiring energy use information of a first user through the community energy intelligent management system to obtain a first energy use acquisition result of the first user, wherein the first user is a resident of a first community;
performing energy classification analysis on the first energy use acquisition result to obtain a first classification analysis result;
obtaining a second energy usage acquisition result of the first community;
performing energy classification time interval identification according to the second energy use acquisition result to obtain a first identification result;
inputting the first classification analysis result and the first identification result into an energy intelligent time period adjustment model to obtain a first output result;
performing energy use evaluation on the first energy use acquisition result to obtain a first evaluation result;
and performing energy intelligent management on the first user according to the first output result and the first evaluation result.
2. The method of claim 1, wherein the method comprises:
judging whether the first type energy identification information in the first identification result meets a first preset peak value or not;
when the first type of energy identification information meets the first preset peak value, first identification time period information is obtained;
performing alternative energy usage analysis on the first energy usage acquisition result according to the first identification period information to obtain a first usage analysis result;
and performing a first type of energy use replacement suggestion of the first user according to the first use analysis result.
3. The method of claim 1, wherein said performing an energy classification analysis on said first energy usage harvest to obtain a first classification analysis result, further comprises:
classifying the energy types according to the first energy usage acquisition result to obtain a first type analysis result;
performing energy use purpose analysis on each kind of energy in the first kind of analysis result, and performing energy adjustment identification according to the use purpose analysis result to obtain a first adjustment identification result;
and obtaining the first classification analysis result according to the first adjustment identification result.
4. The method of claim 3, wherein the method further comprises:
performing adjustable power utilization information identification according to the first classification analysis result to obtain a first adjustable identification result;
obtaining a first usage plan of the first user according to the first adjustable identification result;
obtaining a first adjusted time constraint according to the first usage plan;
adjusting the first output result according to the first adjustment time constraint condition to obtain a second output result;
and performing intelligent energy management of the first user according to the second output result.
5. The method of claim 1, wherein said evaluating energy usage of said first energy usage harvest to obtain a first evaluation result further comprises:
performing energy use total amount evaluation on the first user according to the first energy use acquisition result to obtain a first total amount evaluation result;
evaluating the energy consumption of the equipment according to the first energy consumption acquisition result to obtain a first equipment energy consumption evaluation result;
and obtaining the first evaluation result according to the first total quantity evaluation result and the first equipment energy consumption evaluation result.
6. The method of claim 1, wherein the method further comprises:
obtaining a first feedback adjustment plan for the first user;
obtaining a first change time interval according to the first feedback adjustment plan and the first energy use acquisition result;
adjusting and evaluating the first change time interval according to the second energy use acquisition result to obtain a first adjustment evaluation result;
and obtaining a first reward result according to the first adjustment evaluation result.
7. The method of claim 6, wherein the method further comprises:
obtaining a set of user feedback adjustment plans for the first community;
performing optimal allocation combining with a user feedback adjustment interval according to the user feedback adjustment plan set to obtain a first optimal allocation result;
and feeding back the first optimization allocation result to users of the first community.
8. The utility model provides an wisdom energy management system based on thing networking which characterized in that, the system includes:
the community energy intelligent management system comprises a first obtaining unit, a second obtaining unit and a control unit, wherein the first obtaining unit is used for collecting energy use information of a first user through the community energy intelligent management system and obtaining a first energy use collection result of the first user, and the first user is a resident of a first community;
the first analysis unit is used for carrying out energy classification analysis on the first energy use acquisition result to obtain a first classification analysis result;
a second obtaining unit, configured to obtain a second energy usage acquisition result of the first community;
the first identification unit is used for carrying out energy classification time interval identification according to the second energy use acquisition result to obtain a first identification result;
the first input unit is used for inputting the first classification analysis result and the first identification result into an energy intelligent time period adjustment model to obtain a first output result;
the first evaluation unit is used for evaluating the energy usage of the first energy usage collection result to obtain a first evaluation result;
and the first management unit is used for performing energy intelligent management on the first user according to the first output result and the first evaluation result.
9. An electronic device, comprising: a processor coupled to a memory, the memory for storing a program that, when executed by the processor, performs the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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