CN107480811A - Equipment energy consumption data processing method, device, system and equipment - Google Patents
Equipment energy consumption data processing method, device, system and equipment Download PDFInfo
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Abstract
The invention discloses a method, a device, a system and equipment for processing equipment energy consumption data. Wherein, the method comprises the following steps: acquiring historical operating data and weather data of equipment; and analyzing the historical operating data and the weather data to generate predicted energy consumption data and a reference use scheme of the equipment. The invention solves the problem that the equipment energy consumption analysis scheme in the prior art cannot carry out prediction analysis guidance. The method comprises the steps of generating predicted energy consumption data based on historical use conditions and weather conditions of equipment, providing a reference use scheme of the equipment for a user, enabling the use of the equipment to be more humanized and intelligent, and guaranteeing the experience comfort level of the user while reducing energy consumption to the maximum extent.
Description
Technical field
The present invention relates to equipment technical field, in particular to a kind of equipment energy consumption data processing method, device, is
System and equipment.
Background technology
In the related art, the equipment control program based on big data analysis is mainly by the position and row for collecting user
For information and analyzed, so as to control the open and close of home equipment, avoid unnecessary energy consumption.But this mode relates to
And many privacies of user, and it is high to mesh dependence, it is unfavorable for collection and the integrality of data, also not to energy consumption
Rational forecast analysis is carried out so as to instruct user.
For the problem of equipment energy consumption analytical plan can not be predicted analysis and guidance in the prior art, not yet propose at present
Effective solution.
The content of the invention
A kind of equipment energy consumption data processing method, device, system and equipment are provided in the embodiment of the present invention, it is existing to solve
Equipment energy consumption analytical plan can not be predicted the problem of analysis and guidance in technology.
In order to solve the above technical problems, the invention provides a kind of equipment energy consumption data processing method, wherein, this method bag
Include：Obtain the history data and weather data of equipment；The history data and the weather data are analyzed,
Generate the reference operational version of prediction of energy consumption data and equipment.
Further, the history data comprises at least one below：The horal electric power of history day,
The horal wind speed of electricity Unit Price, history day；The weather data comprises at least one below：History day each hour
Temperature, following certain day horal temperature.
Further, before analyzing the history data and the weather data, methods described also includes：
The history data is screened, extracts effective history data.
Further, the history data and the weather data are analyzed, including：Pass through MapReduce
Computation model is analyzed the history data and the weather data.
Further, the history data and the historical weather data are analyzed, generates prediction of energy consumption number
According to, including：According to following certain day horal temperature, history, the electric power of same hour, history are same on the same day on the same day
The temperature of one hour, obtain following certain day horal electric power；According to following certain day horal electric power, go through
History horal electric power, electricity Unit Price on the same day, obtain estimated saving energy consumption.
Further, the history data and the historical weather data are analyzed, in addition to：According to the electricity charge
Unit price and the horal electric power of history day, obtain the horal rate of history day.
Further, the history data and the weather data are analyzed, the reference for generating equipment uses
Scheme, including：Following certain day horal temperature is contrasted with preset temperature；If following certain hour certain day temperature
≤ preset temperature, then closed in following hour control device same on the same day；If following certain hour certain day temperature >=default
Temperature+preset value, then preset duration control device is opened before following hour same on the same day；If preset temperature ＜ it is following certain
Its certain hour temperature ＜ preset temperatures+preset value, then it is in air supply pattern in following hour control device same on the same day.
Further, the history data and the weather data are analyzed, the reference for generating equipment uses
Scheme, in addition to：It is raw according to the horal wind speed of history day, following certain day horal temperature, the preset temperature
Into following certain day horal wind speed；The equipment is controlled in following certain hour certain day wind speed according to following this hour of this day
Operation.
Further, the history data is analyzed, in addition to：Confirm to set according to the history data
The living environment of standby owning user；It is the promotion that user pushes corresponding product according to the living environment.
Further, methods described also includes：Build environment data report, energy consumption analysis data report.
Further, methods described also includes：By the prediction of energy consumption data, the reference operational version, the environment
Data report, the energy consumption analysis data report are established with equipment user and associated；Monitoring user's login client or net
After page, the associated prediction of energy consumption data are shown, described with reference to operational version, environmental data report, the energy consumption
Analyze data is reported.
Present invention also offers a kind of equipment energy consumption data processing equipment, wherein, the device includes：Data acquisition module,
For obtaining the history data and weather data of equipment；Data analysis module, for the history data and institute
State weather data to be analyzed, generate the reference operational version of prediction of energy consumption data and equipment.
Further, the history data comprises at least one below：The horal electric power of history day,
Electricity Unit Price；The weather data comprises at least one below：The horal temperature of history day, following certain day each hour
Temperature.
Further, described device also includes：Data extraction module, for being screened to the history data,
Extract effective history data.
Further, the data analysis module, specifically for by MapReduce computation module to the history run
Data and the weather data are analyzed.
Further, the data analysis module includes：First analytic unit, for horal according to following certain day
The temperature of temperature, the history electric power of same hour, history same hour on the same day on the same day, are obtained following certain day each small
When electric power；Second analytic unit, for each small on the same day according to following certain day horal electric power, history
When electric power, electricity Unit Price, obtain estimated saving energy consumption.
Further, the data analysis module also includes：3rd analytic unit, for according to electricity Unit Price and history
Its horal electric power, obtain the horal rate of history day.
Further, the data analysis module also includes：Control unit, for by following certain day horal temperature
Contrasted with preset temperature；If following certain hour certain day temperature≤preset temperature, in following day hour control
Equipment is closed；If following certain hour certain day temperature >=preset temperature+preset value, when being preset before following day hour
Long control device is opened；, should in future if the temperature ＜ preset temperatures+preset value following certain hour certain day preset temperature ＜
Its this hour control device is in air supply pattern.
Further, the data analysis module, build environment data report, energy consumption analysis data report are additionally operable to.
Further, described device also includes：Display module, for the prediction of energy consumption data, the reference to be used
Scheme, environmental data report, the energy consumption analysis data report are established with equipment user and associated；Monitoring user's login
After client or webpage, the associated prediction of energy consumption data are shown, described with reference to operational version, the environmental data report
Accuse, the energy consumption analysis data report.
Present invention also offers a kind of equipment, wherein, the equipment includes：Above-mentioned equipment energy consumption data processing equipment.
Present invention also offers a kind of equipment energy consumption data handling system, wherein, the system includes：Equipment, for that will transport
Row data are sent to server；The server, for obtaining weather data, according to the weather data and the operation number
According to the reference operational version of generation prediction of energy consumption data and equipment；Client, for showing prediction of energy consumption data and described
With reference to operational version.
Further, the server includes：Big data analysis platform, for the weather data and the operation number
According to being analyzed, generate the prediction of energy consumption data, it is described refer to operational version, and environmental data report, energy consumption analysis number
It was reported that.
Apply the technical scheme of the present invention, history service condition and weather condition based on equipment, generate prediction of energy consumption
Data, and provide the user the reference operational version of equipment so that the use of equipment more hommization is intelligent, and maximizing reduces
Ensure the experience comfort level of user while energy consumption.
Brief description of the drawings
Fig. 1 is the flow chart of equipment energy consumption data processing method according to embodiments of the present invention；
Fig. 2 is the structured flowchart of equipment energy consumption data processing equipment according to embodiments of the present invention；
Fig. 3 is the structured flowchart of equipment energy consumption data handling system according to embodiments of the present invention；
Fig. 4 is the implementing procedure figure of equipment energy consumption data handling system according to embodiments of the present invention；
Fig. 5 is reference operational version schematic diagram according to embodiments of the present invention.
Embodiment
The present invention is described in further detail with specific embodiment below in conjunction with the accompanying drawings, but not as the limit to the present invention
It is fixed.
Embodiment one
Fig. 1 is the flow chart of equipment energy consumption data processing method according to embodiments of the present invention, as shown in figure 1, this method
Comprise the following steps：
Step S101, obtain the history data and weather data of equipment；
Step S102, is analyzed history data and weather data, generates the ginseng of prediction of energy consumption data and equipment
Examine operational version.
By the present embodiment, history service condition and weather condition based on equipment, prediction of energy consumption data are generated, and be
User provides the reference operational version of equipment so that the use of equipment more hommization is intelligent, and maximizing reduces the same of energy consumption
When ensure user experience comfort level.
In the present embodiment, can be first to history run number before analyzing history data and weather data
According to being screened, effective history data is extracted.So as to improve the quality of data, subsequent data analysis precision is improved.
Above-mentioned history data can at least include one below：The horal electric power of history day, the electricity charge
Unit price, the horal wind speed of history day；Above-mentioned weather data can at least include one below：History day each hour
Temperature, following certain day horal temperature.
In the specific implementation, history data and weather data can be divided by MapReduce computation module
Analysis.Specifically, history data and historical weather data are analyzed, generates prediction of energy consumption data, can include following
Preferred embodiment：According to following certain day horal temperature, history, the electric power of same hour, history are same on the same day
The temperature of its same hour, obtain following certain day horal electric power；Horal electric work was used according to following certain day
Rate, history horal electric power, electricity Unit Price on the same day, obtain estimated saving energy consumption., can be more accurate based on this
Following certain day horal electric power of ground prediction.That is, the data by history in such a month, and on such a day, the following same month can be predicted out
Data on the same day.
Preferably, it is every can also to be obtained according to electricity Unit Price and the horal electric power of history day for history day
The rate of one hour.
In the present embodiment, history data and weather data are analyzed, generate the reference operational version of equipment,
It can be realized by following preferred embodiment：Following certain day horal temperature is contrasted with preset temperature；If
Following certain hour certain day temperature≤preset temperature, then in the following day, this hour control device is closed；If certain following day
Temperature >=preset temperature+preset value of hour, then preset duration control device is opened before following day hour；It is if default
The temperature ＜ temperature ＜ preset temperatures+preset values of following certain hour certain day, then in the following day, this hour control device is in and sent
Wind pattern.It can also be realized by following preferred embodiment：It is each according to the horal wind speed of history day, certain day future
The temperature of hour, the preset temperature, generate following certain day horal wind speed；Control the equipment small in certain following day
When run according to the wind speed of following this hour of this day.
Based on this, the reference operating scheme of equipment can be provided the user, user is optional to refer to operating scheme according to this
Control device, i.e. equipment are run according to reference to operating scheme automatically, lift the use feeling of user.
It should be noted that above-mentioned preset temperature is the optimal comfort temperature of user experience, can voluntarily be set by user
Fixed and change.Above-mentioned preset value can be set according to the actual requirements, such as may be configured as 2.
In order to improve the buying experience of user, also for the push of enhancing product, present embodiments provide a kind of preferred real
Mode is applied, i.e., the living environment of equipment owning user is confirmed according to history data；It is that user pushes phase according to living environment
Answer the promotion of product.
, can be with build environment data report, energy consumption analysis after analyzing history data and weather data
Data report.Environmental data report can include：Temperature data, humidity data, the noise data etc. of equipment.Energy consumption analysis data
Report can include the horal electric power of history day, certain day future horal electric power etc..
In order to improve Consumer's Experience, convenient pushed to user reports that the present embodiment additionally provides a kind of preferred embodiment：
Establish and associate with equipment user by prediction of energy consumption data, with reference to operational version, environmental data report, energy consumption analysis data report；
After monitoring that user logs in client or webpage, associated prediction of energy consumption data are shown, with reference to operational version, environment number
It was reported that, energy consumption analysis data report.Above-mentioned client can be the app on any mobile device, and user can be whenever and wherever possible
Check.Based on this, the reference operational version of equipment can be supplied to user, user can look into client or webpage
See.
Embodiment two
Corresponding to the equipment energy consumption data processing method of Fig. 1 introductions, present embodiments provide at a kind of equipment energy consumption data
Device, the structured flowchart of equipment energy consumption data processing equipment as shown in Figure 2 are managed, the device includes：
Data acquisition module 10, for obtaining the history data and weather data of equipment；
Data analysis module 20, for analyzing history data and weather data, generate prediction of energy consumption data
With the reference operational version of equipment.
By the present embodiment, history service condition and weather condition based on equipment, prediction of energy consumption data are generated, and be
User provides the reference operational version of equipment so that the use of equipment more hommization is intelligent, and maximizing reduces the same of energy consumption
When ensure user experience comfort level.
In the present embodiment, said apparatus can also include：Data extraction module, for being sieved to history data
Choosing, extracts effective history data.So as to improve the quality of data, subsequent data analysis precision is improved.
Above-mentioned history data can at least include one below：The horal electric power of history day, the electricity charge
Unit price, the horal wind speed of history day；Above-mentioned weather data can at least include one below：History day each hour
Temperature, following certain day horal temperature.
In the specific implementation, above-mentioned data analysis module specifically can be used for by MapReduce computation module to history
Service data and weather data are analyzed.Specifically, above-mentioned data analysis module can include：
First analytic unit, for the electricity consumption according to following certain day horal temperature, history same hour on the same day
The temperature of power, history same hour on the same day, obtain following certain day horal electric power；
Second analytic unit, for horal on the same day according to following certain day horal electric power, history
Electric power, electricity Unit Price, obtain estimated saving energy consumption；
3rd analytic unit, for according to electricity Unit Price and the horal electric power of history day, obtaining history
Its horal rate.
Based on this, following certain day horal electric power can be relatively accurately predicted.That is, the history moon is passed through
The data of one day, the data of following same month on the same day can be predicted out.
In the present embodiment, above-mentioned data analysis module can also include：Control unit, for will be following certain day each small
When temperature contrasted with preset temperature；, should in the following day if following certain hour certain day temperature≤preset temperature
Hour control device is closed；If following certain hour certain day temperature >=preset temperature+preset value, in following day hour
Preceding preset duration control device is opened；If the temperature ＜ preset temperatures+preset value following certain hour certain day preset temperature ＜,
In the following day, this hour control device is in air supply pattern.
Above-mentioned data analysis module can also be according to the horal wind speed of history day, following certain day horal temperature
Degree, the preset temperature, generate following certain day horal wind speed；Control the equipment in certain following day hour according to not
Carry out the wind speed operation of this hour of this day.
Based on this, the reference operating scheme of equipment can be provided the user, user is optional to refer to operating scheme according to this
Control device, i.e. equipment are run according to reference to operating scheme automatically, lift the use feeling of user.
It should be noted that above-mentioned preset temperature is the optimal comfort temperature of user experience, can voluntarily be set by user
Fixed and change.Above-mentioned preset value can be set according to the actual requirements, such as may be configured as 2.
In order to improve Consumer's Experience, convenient pushed to user reports that the present embodiment additionally provides a kind of preferred embodiment,
That is, above-mentioned data analysis module, build environment data report, energy consumption analysis data report be can be also used for.Said apparatus may be used also
With including：Display module, for by prediction of energy consumption data, with reference to operational version, environmental data report, energy consumption analysis data report
Establish and associate with equipment user；After monitoring that user logs in client or webpage, show associated prediction of energy consumption data,
With reference to operational version, environmental data report, energy consumption analysis data report.Based on this, the reference operational version of equipment can be carried
User is supplied, user can check in client or webpage.
The present embodiment can also provide a kind of equipment, and the equipment can include：Above-mentioned equipment energy consumption data processing equipment.
Embodiment three
Corresponding to the equipment energy consumption data processing method of Fig. 1 introductions, present embodiments provide at a kind of equipment energy consumption data
Reason system, the structured flowchart of equipment energy consumption data handling system as shown in Figure 3, the system can include：
Equipment (representing equipment in Fig. 3 by taking air-conditioning as an example) 11, for service data to be sent to server；
Server, for obtaining weather data, according to weather data and service data, generate prediction of energy consumption data and equipment
Reference operational version；
Client 31, for showing prediction of energy consumption data and with reference to operational version.
By the present embodiment, history service condition and weather condition based on equipment, prediction of energy consumption data are generated, and be
User provides the reference operational version of equipment so that the use of equipment more hommization is intelligent, and maximizing reduces the same of energy consumption
When ensure user experience comfort level.
Above-mentioned server 21 can include：Big data analysis platform 22, for dividing weather data and service data
Analysis, generate prediction of energy consumption data, with reference to operational version, and environmental data report, energy consumption analysis data report.
Air-conditioning can include data transmission module, for the service data of equipment to be sent to server.In client
It can be shown on the real-time display page 32：Air-conditioning operational version (can also turn into and refer to operational version), energy consumption analysis report, energy
Consume prediction address, environment essential information.
The Data Collection mode of the present embodiment is to rely primarily on the air-conditioning operation number that data transmission module is beamed back after the power-up
According to the service data that data transmission module can collect air-conditioning every preset duration (such as per 3s) passes to server, server
Receiving service data can be stored on big data platform.Fortune of the big data platform using MapReduce treatment mechanisms to storage
Row data are screened and analyzed, and finally draw the energy consumption of air-conditioning, and wherein big data platform can be realized based on Hadoop
The data storage of platform.Big data platform can bind together the data after analyzing and processing and specific user, establish and close
Connection relation.User can check corresponding data processed result (data report) after client logs in, and user steps in client
Corresponding data report can be checked behind land, data report can be largely classified into four macroplates：With reference to operational version, energy consumption analysis
Data report (refineing to hour), prediction of energy consumption data, environmental data report.
Fig. 4 is the implementing procedure figure of equipment energy consumption data handling system according to embodiments of the present invention, as shown in figure 4, should
Flow comprises the following steps：
Step S401, data collection phase.At this stage, service data is beamed back time interval and can set as far as possible
It is small, to ensure the integrality of data.
Step S402, data screening stage.Service data is cleaned, the effective operation number for having break-up value of extraction
According to improving the quality of service data.
Step S403, data analysis phase.With reference to weather data, the data of specific some day a certain hour are carried out accordingly
Analysis, the electricity charge Freight Basis of power and this area when being run according to equipment carries out corresponding energy consumption analysis.Specifically,
In this example, it is assumed that (i=1,2,3 ... 24) represent the electric power of i-th hour certain day to W0i, and CS represents electricity
Take unit price, then i-th hour rate is VAL=W0i*CS.
Statistics is carried out to the energy consumption of following a period of time and drawn according to the service data of history and corresponding weather data
As a result：(i=1,2,3 ... 24) represent the electric powers for predicting i-th hour certain day, TCPi (i=1,2,3 ... 24) generations assuming that W0Pi
Table predicts the temperature of i-th hour certain day, TCi (i=1,2,3 ... 24) the represent history temperature of i-th hour on the same day, then WOPi=
(TCPi/TCi)*W0i.Energy consumption ENS=(W0i-WOPi) * CS are saved in prediction.
Step S404, the reference operational version of air-conditioning is provided the user according to data results.During mainly for air-conditioning
Between, operating air velocity setting offer scheme, and will prediction save energy consumption send user it is for reference.
Fig. 5 is reference operational version schematic diagram according to embodiments of the present invention, as shown in figure 5, the program is according to following streams
Cheng Shixian：
Step S501, compare optimal comfort temperature Te and the temperature TCPi of prediction certain hour certain day；If TCPi≤Te,
Perform step S503；Otherwise, step S504 is performed.
Step S503, closed in i-th hour control air-conditioning of this day.
Step S504, if TCPi >=Te+2, perform step S505；Otherwise, step S506 is performed.
Step S505,10 minutes control air-conditionings are opened before i-th hour of this day.
Step S506, if Te ＜ TCPi ＜ Te+2, perform step S507；Otherwise, step S501 is repeated.
Step S507, control air-conditioning are in air supply pattern.
The present embodiment can also provide wind speed reference scheme：Assuming that Fan0i is the history day air conditioner wind speed of i-th hour,
Then following optimal wind speed Fani=Fan0i* (TCPi/Te) the * C of prediction of i-th hour on the same day.
The analysis that the present embodiment finally consumes energy according to equipment is predicted, user datagram is supplied to reference to corresponding computation model
Accuse (such as：The optimal operational version of air-conditioning), by the relation of air-conditioning and user by data report and user-association, by datagram
Announcement passes to user.Client is logged in the case where user networks can real time inspection report.By the program, one can be entered
Step infers the living environment of user by the running situation of analytical equipment, is made accordingly by the user's living environment being inferred to
The promotion of product, or air-conditioning are applicable the knowledge of aspect, improve the buying experience of user.
It was found from description more than, the main operation energy consumption situation for facilitating user to understand equipment of the present invention, user is predicted
Energy consumption, and according to computation model provide the user specialty the optimal operational version of equipment, there is provided the corresponding datagram of user
Accuse so that the use of equipment more hommization is intelligent, and more high-quality clothes are provided the user while energy-saving, emission-reducing, environment friendly
Business, lift Consumer's Experience.
Certainly, above is the preferred embodiment of the present invention.It should be pointed out that for those skilled in the art
For, on the premise of its general principles are not departed from, some improvements and modifications can also be made, these improvements and modifications
It is considered as protection scope of the present invention.
Claims (23)
1. a kind of equipment energy consumption data processing method, it is characterised in that methods described includes：
Obtain the history data and weather data of equipment；
The history data and the weather data are analyzed, the reference for generating prediction of energy consumption data and equipment uses
Scheme.
2. according to the method for claim 1, it is characterised in that
The history data comprises at least one below：The horal electric power of history day, electricity Unit Price, history
Certain day horal wind speed；
The weather data comprises at least one below：The horal temperature of history day, following certain day horal temperature
Degree.
3. according to the method for claim 1, it is characterised in that the history data and the weather data are carried out
Before analysis, methods described also includes：
The history data is screened, extracts effective history data.
4. according to the method for claim 1, it is characterised in that the history data and the weather data are carried out
Analysis, including：
The history data and the weather data are analyzed by MapReduce computation module.
5. according to the method for claim 2, it is characterised in that to the history data and the historical weather data
Analyzed, generate prediction of energy consumption data, including：
According to following certain day horal temperature, history, the electric power of same hour, history are same small on the same day on the same day
When temperature, obtain following certain day horal electric power；
According to following certain day horal electric power, history horal electric power, electricity Unit Price on the same day, obtain
It is expected that save energy consumption.
6. according to the method for claim 2, it is characterised in that to the history data and the historical weather data
Analyzed, in addition to：
According to electricity Unit Price and the horal electric power of history day, the horal rate of history day are obtained.
7. according to the method for claim 2, it is characterised in that the history data and the weather data are carried out
Analysis, the reference operational version of equipment is generated, including：
Following certain day horal temperature is contrasted with preset temperature；
If following certain hour certain day temperature≤preset temperature, closed in following hour control device same on the same day；
If following certain hour certain day temperature >=preset temperature+preset value, when being preset before following hour same on the same day
Long control device is opened；
If the temperature ＜ preset temperatures+preset value following certain hour certain day preset temperature ＜, following same small on the same day
When control device be in air supply pattern.
8. according to the method for claim 7, it is characterised in that the history data and the weather data are carried out
Analysis, the reference operational version of equipment is generated, in addition to：
According to the horal wind speed of history day, following certain day horal temperature, the preset temperature, generation it is following certain
Its horal wind speed；
The equipment is controlled to be run in following certain hour certain day wind speed according to following this hour of this day.
9. according to the method for claim 1, it is characterised in that the history data is analyzed, in addition to：
The living environment of equipment owning user is confirmed according to the history data；
It is the promotion that user pushes corresponding product according to the living environment.
10. according to the method for claim 1, it is characterised in that methods described also includes：
Build environment data report, energy consumption analysis data report.
11. according to the method for claim 1, it is characterised in that methods described also includes：
By the prediction of energy consumption data, the reference operational version, environmental data report, the energy consumption analysis data report
Establish and associate with equipment user；
After monitoring that user logs in client or webpage, show that the associated prediction of energy consumption data, the reference make
Reported with scheme, the environmental data, the energy consumption analysis data report.
12. a kind of equipment energy consumption data processing equipment, it is characterised in that described device includes：
Data acquisition module, for obtaining the history data and weather data of equipment；
Data analysis module, for analyzing the history data and the weather data, generate prediction of energy consumption number
According to the reference operational version with equipment.
13. device according to claim 12, it is characterised in that
The history data comprises at least one below：The horal electric power of history day, electricity Unit Price；
The weather data comprises at least one below：The horal temperature of history day, following certain day horal temperature
Degree.
14. device according to claim 12, it is characterised in that described device also includes：
Data extraction module, for being screened to the history data, extract effective history data.
15. device according to claim 12, it is characterised in that the data analysis module, specifically for passing through
MapReduce computation module is analyzed the history data and the weather data.
16. device according to claim 13, it is characterised in that the data analysis module includes：
First analytic unit, for according to following certain day horal temperature, history on the same day the electric power of same hour,
The temperature of history same hour on the same day, obtain following certain day horal electric power；
Second analytic unit, for according to following certain day horal electric power, history horal electricity consumption on the same day
Power, electricity Unit Price, obtain estimated saving energy consumption.
17. device according to claim 13, it is characterised in that the data analysis module also includes：
3rd analytic unit, for according to electricity Unit Price and the horal electric power of history day, it is every to obtain history day
The rate of one hour.
18. device according to claim 13, it is characterised in that the data analysis module also includes：
Control unit, for following certain day horal temperature to be contrasted with preset temperature；If certain following day is small
When temperature≤preset temperature, then in the following day, this hour control device is closed；If following certain hour certain day temperature >=
Preset temperature+preset value, then preset duration control device is opened before following day hour；If preset temperature ＜ it is following certain
Its certain hour temperature ＜ preset temperatures+preset value, then in the following day, this hour control device is in air supply pattern.
19. device according to claim 13, it is characterised in that the data analysis module, be additionally operable to build environment number
It was reported that, energy consumption analysis data report.
20. device according to claim 13, it is characterised in that described device also includes：
Display module, for by the prediction of energy consumption data, it is described with reference to operational version, the environmental data report, the energy
Consumption analysis data report is established with equipment user and associated；After monitoring that user logs in client or webpage, display is associated
The prediction of energy consumption data, it is described with reference to operational version, the environmental data report, the energy consumption analysis data report.
21. a kind of equipment, it is characterised in that the equipment includes：Equipment energy consumption any one of claim 12 to 20
Data processing equipment.
22. a kind of equipment energy consumption data handling system, it is characterised in that the system includes：
Equipment, for service data to be sent to server；
The server, for obtaining weather data, according to the weather data and the service data, generate prediction of energy consumption number
According to the reference operational version with equipment；
Client, for showing the prediction of energy consumption data and described referring to operational version.
23. system according to claim 22, it is characterised in that the server includes：
Big data analysis platform, for analyzing the weather data and the service data, generate the prediction of energy consumption
Data, it is described refer to operational version, and environmental data report, energy consumption analysis data report.
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| CN116757451A (en) * | 2023-08-17 | 2023-09-15 | 青岛海瑞达网络科技有限公司 | Production energy data processing system based on intelligent analysis technology |
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