CN104731841A - Self-service energy consumption ranking system based on Internet - Google Patents
Self-service energy consumption ranking system based on Internet Download PDFInfo
- Publication number
- CN104731841A CN104731841A CN201410577909.3A CN201410577909A CN104731841A CN 104731841 A CN104731841 A CN 104731841A CN 201410577909 A CN201410577909 A CN 201410577909A CN 104731841 A CN104731841 A CN 104731841A
- Authority
- CN
- China
- Prior art keywords
- energy consumption
- user
- internet
- self
- ranking
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a self-service energy consumption ranking system based on the Internet. The system comprises a user computer as a client side, a background computer with a background database and the Internet connected with the user computer and the background computer. A provided database automatic generating mode is suitable for being applied to energy consumption ranking, ranking of prices of all consumer goods in daily life and ranking of all quantizable indexes.
Description
Technical field
The present invention relates to a kind of energy consumption related data to providing from Internet user to identify, store, and carry out rank, ranking result is presented method in front of the user, belong to Internet technical field.
Background technology
Warm increasingly in the whole world, weather sharply worsens, and makes " energy-saving and emission-reduction " become the only way of human kind sustainable development, also becomes one of topic of current whole society hottest point.All there are the needs urgently carrying out energy conservation in each energy resource consumption unit.But when promoting energy conservation, constituent parts often lacks the correct understanding uneven to self energy consumption.Thus cannot effective decision-making and deployment energy-saving and emission-reduction related work.Result is or high energy consumption but do not take energy-conservation action, or energy consumption level is original not high, wastes a large amount of energy-saving investment and but must not get larger energy-conservation achievement.
In view of the foregoing, in the urgent need to developing a kind of instrument, constituent parts can be facilitated to make objective evaluation to our unit's energy level rapidly.
Summary of the invention
Goal of the invention of the present invention will provide a kind of instrument exactly, enables each energy resource consumption unit know that its energy consumption is uneven fast.
The technical scheme realizing foregoing invention object is as follows:
Pass through internet, the energy input of self and relevant basic condition are committed to native system by the subscriber computer as client by each energy resource consumption unit (hereinafter referred to as " user "), native system provides its ranking in user of the same type automatically, thus confirmed the energy consumption height of himself by lateral comparison, for further energy conservation points the direction.The background data base of native system is by background computer self-generating, user is when using native system to check our unit's energy consumption rank, when through its agree to, the energy consumption data of this energy unit and essential information will add native system automatically, thus provide reference for other user.
The present invention includes connection two parts on the internet, that is: use the subscriber computer of terminal as energy consumption rank and there is the background computer of background data base.Energy consumption rank uses terminal to be placed on internet web page, after user clicks " energy consumption rank " button on this webpage, system pop-up window, require that user inputs its energy consumption data and relevant information, the data that system will provide according to user, data existing to itself and background data base are compared, and the result is relatively presented to user by graphic interface.This result figure is a curve map be made up of ordinate and horizontal ordinate, horizontal ordinate is percentage, and represent the position that certain user's energy consumption data is residing in whole user, ordinate is energy consumption index value, such as unit area power consumption values, or the index that other energy consumption is relevant.
A kind of data utilizing internet platform automatically to generate provided by the invention are carried out rank thus realize the Method and kit for of user's autodiagnosis, it is characterized in that the method comprises the steps:
1) self energy consumption data and essential information are submitted to the network platform by user interface by user;
2) network platform background data base processes and stores data and the information of user's submission automatically;
3) data of the same type in the energy consumption data user submitted to of the network platform and system carry out contrast rank:
The database self-generating mode that the present invention proposes is suitable for being applied in the price rank of all consumer goods of energy consumption rank, daily life, and all quantifiable index ranks.
Accompanying drawing illustrates:
Fig. 1 is present system structural representation.
Fig. 2 is a kind of process flow diagram utilizing internet platform to carry out the method for energy consumption rank of present system.
Embodiment:
See Fig. 1, each subscriber computer and background computer are all connected on the internet, and subscriber computer is used for user and uses its interface, this interface inputs energy consumption data, and will be checked the ranking result of system by this interface.Background computer processes the data that user submits to and analyzes, by information such as ranking result by internet highspeed user.
Like this, pass through internet, the energy input of self and relevant basic condition are committed to native system by the subscriber computer as client by each energy resource consumption unit (hereinafter referred to as " user "), native system provides its ranking in user of the same type automatically, thus confirmed the energy consumption height of himself by lateral comparison, for further energy conservation points the direction.The background data base of native system is by background computer self-generating, user is when using native system to check our unit's energy consumption rank, when through its agree to, the energy consumption data of this energy unit and essential information will add native system automatically, thus provide reference for other user.
The present invention includes connection two parts on the internet, that is: use the subscriber computer of terminal as energy consumption rank and there is the background computer of background data base.Energy consumption rank uses terminal to be placed on internet web page, after user clicks " energy consumption rank " button on this webpage, system pop-up window, require that user inputs its energy consumption data and relevant information, the data that system will provide according to user, data existing to itself and background data base are compared, and the result is relatively presented to user by graphic interface.This result figure is a curve map be made up of ordinate and horizontal ordinate, horizontal ordinate is percentage, and represent the position that certain user's energy consumption data is residing in whole user, ordinate is energy consumption index value, such as unit area power consumption values, or the index that other energy consumption is relevant.
Fig. 2 utilizes a kind of data utilizing internet platform automatically to generate of present system carry out rank thus realize the method for user's autodiagnosis, it is characterized in that the method comprises the steps:
1) self energy consumption data and essential information are submitted to the network platform by user interface by user;
2) network platform background data base processes and stores data and the information of user's submission automatically;
3) data of the same type in the energy consumption data user submitted to of the network platform and system carry out contrast rank:
The database self-generating mode that the present invention proposes is suitable for being applied in the price rank of all consumer goods of energy consumption rank, daily life, and all quantifiable index ranks.
Claims (2)
1., based on a self-service energy consumption ranking system for internet, it is characterized in that: this system comprise as client subscriber computer, there is the background computer of background data base, and by they interconnected internets.
2. adopt a kind of method utilizing internet platform to carry out energy consumption rank of system as claimed in claim 1, it is characterized in that the method comprises the steps:
1) user is by client, through inputting self energy consumption data, can inquire about its ranking in background data base;
2) background data base is generated in the process using client automatically by different clients.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410577909.3A CN104731841A (en) | 2013-12-24 | 2014-10-24 | Self-service energy consumption ranking system based on Internet |
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310731365 | 2013-12-24 | ||
| CN2013107313657 | 2013-12-24 | ||
| CN201410577909.3A CN104731841A (en) | 2013-12-24 | 2014-10-24 | Self-service energy consumption ranking system based on Internet |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104731841A true CN104731841A (en) | 2015-06-24 |
Family
ID=53455737
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410577909.3A Pending CN104731841A (en) | 2013-12-24 | 2014-10-24 | Self-service energy consumption ranking system based on Internet |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104731841A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106403186A (en) * | 2016-09-28 | 2017-02-15 | 华中科技大学 | Household air conditioner energy consumption comparison system based on social platform |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1375786A (en) * | 2001-03-20 | 2002-10-23 | 非常网科技股份有限公司 | Fate analysing comparing method and system provided in web site |
| CN102521714A (en) * | 2011-12-29 | 2012-06-27 | 国网信息通信有限公司 | Method and device for constructing KPI (key performance indicator) hierarchical model and energy consumption assessing method and system |
| CN202711006U (en) * | 2012-04-17 | 2013-01-30 | 南京天溯自动化控制系统有限公司 | Building energy consumption intelligent management system |
| CN103034187A (en) * | 2012-11-28 | 2013-04-10 | 无锡中自能源科技有限公司 | Evaluating system and method for energy monitoring |
| CN103064931A (en) * | 2012-12-21 | 2013-04-24 | 清华大学 | Verifiable privacy data comparison and ranking query method |
-
2014
- 2014-10-24 CN CN201410577909.3A patent/CN104731841A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1375786A (en) * | 2001-03-20 | 2002-10-23 | 非常网科技股份有限公司 | Fate analysing comparing method and system provided in web site |
| CN102521714A (en) * | 2011-12-29 | 2012-06-27 | 国网信息通信有限公司 | Method and device for constructing KPI (key performance indicator) hierarchical model and energy consumption assessing method and system |
| CN202711006U (en) * | 2012-04-17 | 2013-01-30 | 南京天溯自动化控制系统有限公司 | Building energy consumption intelligent management system |
| CN103034187A (en) * | 2012-11-28 | 2013-04-10 | 无锡中自能源科技有限公司 | Evaluating system and method for energy monitoring |
| CN103064931A (en) * | 2012-12-21 | 2013-04-24 | 清华大学 | Verifiable privacy data comparison and ranking query method |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106403186A (en) * | 2016-09-28 | 2017-02-15 | 华中科技大学 | Household air conditioner energy consumption comparison system based on social platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3617952A1 (en) | Information search method, apparatus and system | |
| Rafiq et al. | Determinants of renewable energy adoption in China and India: a comparative analysis | |
| US20210141839A1 (en) | Information search method, apparatus, and system | |
| Byrne et al. | Are solar cities feasible? A review of current research | |
| US20220019341A1 (en) | Map information display method and apparatus, electronic device, and computer storage medium | |
| CN109242044A (en) | Training method, device, storage medium and the electronic equipment of vehicle and goods matching model | |
| CN109325179A (en) | A kind of method and device that content is promoted | |
| CN105335374A (en) | Knowledge point association method and apparatus as well as server and client containing apparatus | |
| CN104504138A (en) | Human-based information fusion method and device | |
| CN104102696A (en) | Content recommendation method and device | |
| CN105303418A (en) | Site selection method and device | |
| CN104657133A (en) | Single time window task excitation method for mobile crowd-sourcing perception | |
| CN104915418A (en) | Website recommendation method and device | |
| CN102902458A (en) | Page turning method for E-books | |
| Badiru et al. | Quantification of the PICK chart for process improvement decisions | |
| CN106777086A (en) | A kind of webpage buries dynamic management approach and device a little | |
| Nyström et al. | Sustainable information system design and the role of sustainable HCI | |
| CN109978642A (en) | A kind of information recommendation method, device and communication equipment | |
| CN105740415A (en) | Label position weight and self-learning based tendering and bidding good friend recommendation system | |
| Alemu | Causality links between consumer and producer price inflation in South Africa | |
| Yerel et al. | Prediction of the calorific value of coal deposit using linear regression analysis | |
| CN103514769A (en) | Intelligent learning line design system and method | |
| CN104731841A (en) | Self-service energy consumption ranking system based on Internet | |
| CN105208033A (en) | Group auxiliary recommendation method and system based on intelligent terminal scenes | |
| CN109891464B (en) | Method and system for establishing 3D human body model |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20150624 |