CN106597862A - Building energy consumption control device and building energy consumption control method based on association rule mining - Google Patents
Building energy consumption control device and building energy consumption control method based on association rule mining Download PDFInfo
- Publication number
- CN106597862A CN106597862A CN201611145367.8A CN201611145367A CN106597862A CN 106597862 A CN106597862 A CN 106597862A CN 201611145367 A CN201611145367 A CN 201611145367A CN 106597862 A CN106597862 A CN 106597862A
- Authority
- CN
- China
- Prior art keywords
- energy consumption
- building
- association rule
- control
- space cell
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2639—Energy management, use maximum of cheap power, keep peak load low
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a building energy consumption control device and a building energy consumption control method based on association rule mining. A building is divided into a plurality of space units, and at least one type of electric equipment is installed in each space unit. At least one management computer is arranged in a control room of the building. A plurality of wireless measurement and control modules, a room controller and a plurality of personnel monitoring modules are arranged in the space units. The beneficial effect is as follows: the association rules of a variety of data types in the building and the energy consumption of the space units under complicated conditions are mined by mining an Apriori algorithm, and a data basis is provided for energy saving control of the building according to main factors affecting the energy consumption of the building obtained through association rule mining.
Description
Technical field
The present invention relates to building power consumption control technical field, more particularly to a kind of building energy based on association rule mining
Consumption control device and method.
Background technology
Building energy conservation is the important component part of China's energy-saving and emission-reduction work, and green building is pushed forward in " 13 " planning comprehensively
Build, using energy resource consumption intensity is greatly reduced as the binding indicator, to improve environmental quality as core, to solve ecological environment
Field outstanding problem is attached most importance to, and increases ecological environmental protection dynamics, improves the level of resources utilization.Chinese large-sized public building has
The features such as total energy consumption is big, energy efficiency is low, energy-saving potential is big, is the major tasks of building energy saving field, carries out building energy conservation
Supervision, to realizing that China's target for energy-saving and emission-reduction is significant.
Various household electrical appliance provide good working environment and living environment for people, meet people increasingly
The material requisite of growth.But substantial amounts of electrical equipment can cause power consumption to greatly increase, in actual life, due to people's energy-conservation
Consciousness is strong or does not provide corresponding technical measures and is also unable to reach this point.Especially in house, office building and teaching building
Deng public place, altar lamp phenomenon is still present, particularly empty in room, but illumination, air-conditioning, heating installation etc. electrically set
Standby normal operation.
It is at present existing for the management method of building energy consumption, just for single building energy consumption and its itemize between energy consumption
Relation, obtains affecting the rule of energy consumption, this kind of method to have higher requirements the degree of accuracy of historical data and integrity degree, and can not
The complex condition of the multiple types of data produced when being enough applied to multiple constructing operations affects the correlation rule of energy consumption.
Further, since the useful SOC values of some space cells in multiple buildings, if these numerical value are with numeral
Form or set up simple two-dimensional diagram and present to administrative staff, then can not intuitively show energy distribution situation.
If it is possible to be examined to the distribution situation and behavioural habits of personnel in building using intellectualized technology
Survey, obtain the energy distribution chart in each room, while analyzing in someone region based on human behavior custom and electrical equipment
Status of energy consumption, will further lift the energy saving space of electrical equipment.
The content of the invention
The purpose of the present invention is exactly to solve the above problems, it is proposed that a kind of building energy consumption based on association rule mining
Control device and method, the device and method ensureing indoor occupant comfortably in the case of life and normal work, further to
The administrative staff of intelligent building provide the factor of various impact power consumptions.
For achieving the above object, concrete scheme of the invention is as follows：
A kind of building energy consumption control device based on association rule mining, including：Building is divided into into some space lists
Unit, is provided with least one electrical equipment in each space cell；At least one management being arranged in building controls room
Computer；It is arranged on some radio fest and control modules in space cell, room controller and some monitored by personnel's modules；
Some radio fest and control modules and some monitored by personnel's modules communicate respectively with room controller, the room control
Device processed connects remote control terminal by Ethernet and management compunication, the management computer；
The management computer stores electrical equipment energy consumption, the Ren Yuanxin of each space cell in the form of database
The historical record of breath, outdoor temperature and each facility switching status data；By association rule mining find electrical equipment energy consumption,
Strong association rule between personal information, outdoor temperature and each facility switching status data and space cell energy consumption；Record is each
The energy distribution in building of space cell, and presented in the form of three-dimensional model building energy distribution figure.
Further, the radio fest and control module gathers the electric energy consumption numerical value and its parameter information of each electrical equipment, and leads to
Cross RF transceiver and be wirelessly sent to room controller, at the same receive from room controller control command realize it is right
The operation and control of corresponding electrical equipment.
Further, in building electrical equipment by switching signal control, the radio fest and control module is provided with for controlling
The relay and control button of switching signal processed.
Further, the room controller is by radio sensing network and radio fest and control module and monitored by personnel's module point
Do not communicated, by Ethernet and management compunication.
Further, when room controller is communicated with radio fest and control module, sending direction wireless senser
A frame information is sent in network, described information loads 3 fields comprising physical frame header, network frame head and data；Wireless senser
Network receives the node of this frame information and network frame head is parsed, and obtains source address and destination address；
Wireless sensor network be whether telegon according to present node judge along tree network upwards or to
Lower forwarding data；If upwards, the routing node from each layer starts to judge that destination node, whether in the layer, if not existing, turns
Last layer is dealt into until top；If downwards, judging that the destination node is in this layer or under from each routing node successively
One layer, until depth capacity, through transmission layer by layer, information eventually arrives at destination address.
Further, monitored by personnel's module includes some pyroelectric infrared sensors being distributed in space cell,
The sequencing of pyroelectric infrared sensor is triggered by testing staff, the number in space cell is recorded.
Each building electricity consumption equipment is provided with relay and control by switching signal control, corresponding radio fest and control module
Button processed.
A kind of building energy consumption control method based on association rule mining, including：
(1) energy consumption data and personnel's number information of electrical equipment in each space cell in building are gathered, while
The on-site outdoor temperature historical data of building is called, by the data storage of above-mentioned collection to building energy consumption database；
(2) sampling period T is set, the data in building energy consumption database is sampled；At the end of calculating sampling period T
Total energy consumption, personnel number, outdoor temp of total energy consumption, each space cell of each electrical equipment in sampling period T in cycle T
Degree, each facility switching status data, generate boolean's table；
(3) electrical equipment energy consumption, personnel's number, outdoor temperature, each equipment in boolean's table is found by Apriori algorithm
On off state data and the Strong association rule of space cell energy consumption, obtain affecting the main of building energy consumption according to Strong association rule
Factor；
(4) threedimensional model of building is set up, the space cell of different energy consumptions is marked using different color, entered
One step generates energy distribution figure；Meanwhile, the Strong association rule obtained in step (3) is shown on threedimensional model.
Further, in the step (3), determine that the various data in boolean's table are advised with the strong association of space cell energy consumption
Method then is：
1) building energy consumption database is scanned, setting time A is 1- frequent item set L1, it is manually set minimum support minsup
With min confidence minconf；
2) designer's number B is lower single order Candidate Set, remembers 1- frequent item set L1In each element be L1m, Candidate Set B
In each element be Bn, calculate 1- frequent item set L1In with Candidate Set B in each element support sup：L1m→Bn；
If 3) sup is more than or equal to minsup, the rule enters 2- frequent item set L2；
4) by the way of continuous iteration carrying out beta pruning leaf and splicing to each frequent item set, until frequent item set is empty
Collection, obtains n- frequent item sets；
5) confidence level conf is calculated to each rule of n- frequent item sets：LnmIf conf is more than or equal to minconf, raw
Into Strong association rule.
Beneficial effects of the present invention：
1. the present invention realizes numerous types of data and space list in complex condition building by excavating Apriori algorithm
The association rule mining of first energy consumption, and the principal element of the impact building energy consumption obtained according to association rule mining, are building
Energy Saving Control provide data basis.
2. the present invention utilizes SketchUp softwares, sets up the threedimensional model of building, and is represented with different colours.In building
Go out the higher space cell of energy consumption with eye-catching color mark in threedimensional model, allow administrative staff intuitively find energy consumption compared with
High space cell.
3. discretization data preprocessing method proposed by the present invention, on the premise of the authenticity of initial data is not affected,
Greatly reduce the size of initial data.
Description of the drawings
Fig. 1 is based on the building energy consumption control device structural representation of association rule mining；
Fig. 2 excavates implementation steps for management Computer Data；
Fig. 3 is association rule mining implementation steps；
Fig. 4 is Apriori algorithm flow chart.
Wherein, 1. space cell, 2. electrical equipment, 3. radio fest and control module, 4. radio sensing network, 5. room control
Device, 6. personnel's detection module, 7. Ethernet, 8. control room, 9. manages computer, 10. wide area network, 11. remote control terminals,
12. cordless communication networks, 13. mobile phone terminals.
Specific embodiment：
Below in conjunction with the accompanying drawings the present invention is described in detail：
The invention discloses a kind of building energy consumption control device based on association rule mining, as shown in figure 1, including：Will
Building is divided into some space cells 1, and in each space cell 1 at least one electrical equipment 2 is provided with；It is arranged on building
At least one management computer 9 in thing control room 8；Some radio fest and control modules 3, the room control being arranged in space cell 1
Device processed 5 and some monitored by personnel's modules；
Radio fest and control module 3 realizes the switch of the control to relay adhesive and equipment respective socket, and then control device
Switch, while the energy consumption data (unit kwh) of the real-time detection electrical equipment of radio fest and control module 3, by radio sensing network 44
Two-way communication is carried out with room controller 5；Personnel's number information of the Real-time Collection space cell 1 of personnel's detection module 6, by nothing
Line sensing network 4 carries out two-way communication with room controller 5.Management computer 9 is by wide area network 10 and remote control terminal 11
Connection, is communicated by cordless communication network 12 with mobile phone terminal 13, is easy to the switch of administrative staff's remotely control electrical equipment 2；
Cordless communication network 12 can be GPRS, GSM, CDMA or 3G network.
The electric energy consumption numerical value (kwh) of each electrical equipment 2 of the Real-time Collection of radio fest and control module 3, and to the corresponding behaviour of equipment
Make information.And room controller 5 is wirelessly sent to by RF transceiver, while receiving from room controller 5
Control command realizes the operation and control to corresponding electrical equipment；Each building electricity consumption equipment by switching signal control, in contrast
The radio fest and control module 3 answered is provided with relay and control button.
Radio fest and control module 3 also includes that the intelligence being connected with the intelligent switch of control electrical equipment and with electrical equipment is inserted
Seat, can perform the operation such as roof-cut resistence and cut-out socket electricity consumption.
Room controller 5 receives the equipment energy consumption information of radio fest and control module 3 and the personal information of personnel's detection module 6,
It is connected with Ethernet 7 by the interface of Ethernet 7, to the management computer 9 of building controls room 8 energy consumption of space cell 1 is uploaded
Information and personal information, while receiving the various instructions that management computer 9 is assigned, by radio sensing network 44 wireless survey are controlled
Control module 3, realizes the switch to equipment.
Monitored by personnel's module is mainly some pyroelectric infrared sensors being distributed in space cell 1, by detecting people
The sequencing of member's triggering pyroelectric infrared sensor, records to the number in space cell 1.
Management computer 9 stored in the form of database the electrical equipment energy consumption of each space cell 1, personal information,
Call the historical record of the on-site outdoor temperature historical data of building and each facility switching status data；By associating rule
Then excavate and find electrical equipment energy consumption, personal information, outdoor temperature and each facility switching status data and the energy consumption of space cell 1
Between Strong association rule；
Using SketchUp softwares, the threedimensional model of building is set up, and represented with different colours, can be according to each space cell
1 power consumption size, is filled to each space cell 1 with different colours, further generates energy distribution figure.Its objective is in building
Go out the higher space cell 1 of energy consumption with eye-catching color mark in threedimensional model, and with energy distribution figure or energy distribution table etc.
Appropriate mode, is presented the electric energy service condition of each space cell 1.Administrative staff are allow intuitively to find the higher sky of energy consumption
Between unit 1, and according to association rule mining obtain impact building energy consumption principal element, respond.
In the present invention, room controller 5 is with radio fest and control module 3, room controller 5 with monitored by personnel's module by wireless
Sensing network 4 carries out two-way communication.
When room controller 5 and radio fest and control module 3 are communicated, sender can be in wireless sensor network
A frame information is sent, it is respectively the load of physical frame header, network frame head and data that this frame information includes 3 fields.Wireless sensing
The node of this frame information is received in device network can be parsed to network frame head, obtain source address and destination address.
Wireless communication networks are a tree-shaped networks, according to present node be whether telegon judge be along tree upwards
Or downwards whether forwarding data, if upwards, start to judge destination node in the layer, if not from each layer of routing node
Last layer is then being forwarded to until top；If downwards, judging the destination node still in this layer from each routing node successively
Or in next layer, until depth capacity, through transmission layer by layer, information eventually arrives at destination address.When the He of room controller 5
Radio fest and control module 3 communicated when, the sender and the difference of recipient according to information, the form of data payload also not phase
Together.
(working channel, network ID, neighbor table etc.), environment mould after room controller 5 starts and initializes some parameters
Block and air conditioner wireless control module 3 automatic therewith, and the network node that can be added is found to room controller 5.This
Technology is the support the invention provides initial data, and for data mining guarantee is provided.
In the present invention, management computer 9 is communicated by the technology of Ethernet 7 with room controller 5.
Web application is developed using C#, by the management system for setting up B/S frameworks, there is provided Browser/Server frames
The user equipment administration interface of frame, it is allowed to empowerment management personnel's telnet so that authorized user can anywhere by stepping on
The browser interface that land system is provided checks building energy consumption distribution map and energy distribution table, can be with remotely control relevant device
Switch.
Socket network program exploitations are carried out by Visual C# so that data management computer 9 and equipment Internet of Things system
Each room controller 5 in system sets up connection, and carries out the exchange of data by transmission control protocol TCP/IP, aobvious in real time
Show energy consumption data, equipment running status and the personal information of each space cell 1 in whole building thing.Data management computer 9
Also the information that each room controller 5 is uploaded be which includes into the energy consumption data of each room unit, equipment running status simultaneously
It is saved in special database with personal information and maintenance and management is carried out to database.Authorized user logs in data management system
System, by managing computer 9 remotely control realized to Architectural Equipment of issuing an order is sent to each room controller 5.This
Technology ensure that the transmitting of data.
The invention discloses a kind of building energy consumption control method based on association rule mining, as shown in Fig. 2 including following
Step：
(1) energy consumption data and personnel's number information of electrical equipment in each space cell 1 in building are gathered, while
The on-site outdoor temperature historical data of building is called, by the data storage of above-mentioned collection to building energy consumption database；
(2) obtain in space cell 1 after the energy consumption data of various electrical equipments 2, be to improve arithmetic speed, need to be to collecting
Data prediction, the present invention with discretization method, the smoothed data for collecting is processed, including：Setting sampling
Data in building energy consumption database are sampled by cycle T；Each electrical equipment is in sampling week at the end of calculating sampling period T
Total energy consumption, personnel number, outdoor temperature, each facility switching status number of the total energy consumption, each space cell 1 in phase T in cycle T
According to generation boolean's table；
The present invention provides a kind of example for setting up boolean's table：
1st, the time：0:00—2:00(A1)、2:00—4:00(A2)、4:00—6:00(A3)、6:00—8:00(A4)。
2nd, personnel's number：Nobody is (B1), 1-5 people (B2), 6-10 people (B3), 11-15 people (B4) ... outdoor temperature：(-5
℃—0℃](C1)、(0℃—5℃](C2)、(5℃—10℃](C3)……
3rd, facility switching state：Open (D1), close (D2), standby (D3)……
4th, equipment energy consumption：0kwh(E1)、(0—50kwh](E2)、(50—100kwh](E3)、(100—150kwh]
(E4) ... it is empty
Between (the F of 1 energy consumption of unit 01)、(0—50kwh](F2)、(50—100kwh](F3)、(100—150kwh](F4)……
(3) and after the completion of process, electrical equipment energy consumption, personnel's number, the room in boolean's table is found by Apriori algorithm
The Strong association rule of outer temperature, each facility switching status data and the energy consumption of space cell 1, obtains impact and builds according to Strong association rule
Build the principal element of thing energy consumption；
(4) threedimensional model of building is set up, the space cell 1 of different energy consumptions is marked using different color,
Further generate energy distribution figure.The valuable information that will be obtained in mining process above by visualization or other modes
Client is showed, also can be got up these information as new knowledge store.Meanwhile, by the Strong association rule for obtaining in three-dimensional mould
Shown in the form of chart or word in type.
Fig. 3 and Fig. 4 are respectively for association rule mining implementation steps and Apriori algorithm flow chart.
Scan database D first, calculates the support of each element in database to generate 1- frequent item set L1.By L1
To explore frequent item set L2, beta pruning leaf and splicing are carried out to each frequent item set by the way of continuous iteration, until frequently
Item collection is empty set.
The data prediction example be given based on Fig. 2, for the data for collecting carry out setting up boolean's table after discretization, this
Invention provides one kind and is associated rule digging example using Apriori algorithm, and detailed process is as shown in Figure 4.
(1) scan database D, setting time A is 1- frequent item set L1, it is manually set minimum support minsup and minimum
Confidence level minconf；
(2) time B is set for lower single order Candidate Set, L is remembered1In each element be L1m, each element in Candidate Set B is
Bn, calculate L1In with B in each element support sup：L1m→BnIf sup is more than or equal to minsup, the rule
Into 2- frequent item set L2。
The computing formula of support is：
(3) to L2This method is continuing with, L is calculated2In support sup with each element of Candidate Set C：L2m→Cn,
Obtain 3- frequent item set L3。
(4) beta pruning and splicing of this method realization to frequent item set is reused, n- frequent item sets are obtained.It is frequent to n-
Each rule of item collection calculates confidence level conf：LnmIf conf is more than or equal to minconf, Strong association rule is generated.
The computing formula of confidence level：
Although the above-mentioned accompanying drawing that combines is described to the specific embodiment of the present invention, not to present invention protection model
The restriction enclosed, one of ordinary skill in the art should be understood that on the basis of technical scheme those skilled in the art are not
Need the various modifications made by paying creative work or deformation still within protection scope of the present invention.
Claims (8)
1. a kind of building energy consumption control device based on association rule mining, is characterized in that, including：Building is divided into some
Space cell, is provided with least one electrical equipment in each space cell；At least one be arranged in building controls room
Platform manages computer；It is arranged on some radio fest and control modules in space cell, room controller and some monitored by personnel's moulds
Block；
Some radio fest and control modules and some monitored by personnel's modules communicate respectively with room controller, the room controller
By Ethernet and management compunication, the management computer connects remote control terminal；
The management computer stores electrical equipment energy consumption, personal information, the room of each space cell in the form of database
The historical record of outer temperature and each facility switching status data；Electrical equipment energy consumption, personnel are found by association rule mining
Strong association rule between information, outdoor temperature and each facility switching status data and space cell energy consumption；Record each space
The energy distribution in building of unit, and presented in the form of three-dimensional model building energy distribution figure.
2. a kind of building energy consumption control device based on association rule mining as claimed in claim 1, is characterized in that, the nothing
Line control module gathers the electric energy consumption numerical value and its parameter information of each electrical equipment, and is wirelessly sent out by RF transceiver
Room controller is given, while the operation and control to corresponding electrical equipment is realized in reception from the control command of room controller
System.
3. a kind of building energy consumption control device based on association rule mining as claimed in claim 1, is characterized in that, building
Interior electrical equipment is provided with relay and control for controlling switch signal by switching signal control, the radio fest and control module
Button.
4. a kind of building energy consumption control device based on association rule mining as claimed in claim 1, is characterized in that, the room
Between controller communicated respectively with radio fest and control module and monitored by personnel's module by radio sensing network, by Ethernet with
Management compunication.
5. a kind of building energy consumption control device based on association rule mining as claimed in claim 4, is characterized in that, work as room
When controller is communicated with radio fest and control module, a frame information is sent in sending direction wireless sensor network, it is described
Information inclusion reason frame head, network frame head and data load 3 fields；Wireless sensor network receives the node pair of this frame information
Network frame head is parsed, and obtains source address and destination address；
Whether wireless sensor network is telegon according to present node judging along tree network to turn upwards or downwards
Send out data；If upwards, the routing node from each layer starts to judge that destination node, whether in the layer, if not existing, is forwarded to
Last layer is until top；If downwards, successively from each routing node judge the destination node be in this layer or in next layer,
Until depth capacity, through transmission layer by layer, information eventually arrives at destination address.
6. a kind of building energy consumption control device based on association rule mining as claimed in claim 1, is characterized in that, the people
Member's monitoring modular includes some pyroelectric infrared sensors being distributed in space cell, triggers pyroelectricity by testing staff red
The sequencing of outer sensor, records to the number in space cell.
Each building electricity consumption equipment by switching signal control, corresponding radio fest and control module be provided with relay and control by
Button.
7. a kind of building energy consumption control method based on association rule mining, is characterized in that, including：
(1) energy consumption data and personnel's number information of electrical equipment in each space cell in building are gathered, while calling
The on-site outdoor temperature historical data of building, by the data storage of above-mentioned collection to building energy consumption database；
(2) sampling period T is set, the data in building energy consumption database is sampled；Respectively use at the end of calculating sampling period T
It is total energy consumption of total energy consumption, each space cell of the electric equipment in sampling period T in cycle T, personnel's number, outdoor temperature, each
Facility switching status data, generates boolean's table；
(3) electrical equipment energy consumption, personnel's number, outdoor temperature, each facility switching in boolean's table is found by Apriori algorithm
The Strong association rule of status data and space cell energy consumption, according to Strong association rule obtain affecting building energy consumption it is main because
Element；
(4) threedimensional model of building is set up, the space cell of different energy consumptions is marked using different colors, further
Generate energy distribution figure；Meanwhile, the Strong association rule obtained in step (3) is shown on threedimensional model.
8. a kind of building energy consumption control method based on association rule mining as claimed in claim 7, is characterized in that, the step
Suddenly in (3), determine that the various data in boolean's table are with the method for the Strong association rule of space cell energy consumption：
1) building energy consumption database is scanned, setting time A is 1- frequent item set L1, it is manually set minimum support minsup and most
Little confidence level minconf；
2) designer's number B is lower single order Candidate Set, remembers 1- frequent item set L1In each element be L1m, in Candidate Set B
Each element is Bn, calculate 1- frequent item set L1In with Candidate Set B in each element support sup：L1m→Bn；
If 3) sup is more than or equal to minsup, the rule enters 2- frequent item set L2；
4) by the way of continuous iteration carrying out beta pruning leaf and splicing to each frequent item set, until frequent item set is empty set,
Obtain n- frequent item sets；
5) confidence level conf is calculated to each rule of n- frequent item sets：LnmIf conf is more than or equal to minconf, generate strong
Correlation rule.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611145367.8A CN106597862B (en) | 2016-12-13 | 2016-12-13 | Building energy consumption control device and method based on association rule mining |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611145367.8A CN106597862B (en) | 2016-12-13 | 2016-12-13 | Building energy consumption control device and method based on association rule mining |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106597862A true CN106597862A (en) | 2017-04-26 |
| CN106597862B CN106597862B (en) | 2019-06-11 |
Family
ID=58802953
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611145367.8A Active CN106597862B (en) | 2016-12-13 | 2016-12-13 | Building energy consumption control device and method based on association rule mining |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106597862B (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111177216A (en) * | 2019-12-23 | 2020-05-19 | 国网天津市电力公司电力科学研究院 | Association rule generation method and device for behavior characteristics of comprehensive energy consumer |
| CN111260138A (en) * | 2020-01-18 | 2020-06-09 | 湖南大学 | Thermal power generating unit energy consumption dynamic optimization method based on weighting and self-adaptive parallel association rules |
| CN111459037A (en) * | 2020-02-27 | 2020-07-28 | 珠海格力电器股份有限公司 | Intelligent household system control method and device, electronic equipment and readable storage medium |
| CN111679593A (en) * | 2020-05-20 | 2020-09-18 | 青岛黄海学院 | Building energy consumption main influence factor analysis system based on computer big data |
| CN111720954A (en) * | 2020-06-17 | 2020-09-29 | 珠海格力电器股份有限公司 | Energy-saving method and energy-saving operation system for product |
| CN111929496A (en) * | 2020-09-05 | 2020-11-13 | 广州天萌建筑设计有限公司 | Energy consumption acquisition, monitoring, analysis and alarm system for independent rooms of office building |
| CN114880959A (en) * | 2022-07-11 | 2022-08-09 | 广东电网有限责任公司佛山供电局 | Input variable acquisition method and system for building energy consumption hybrid model |
| CN116205467A (en) * | 2023-04-28 | 2023-06-02 | 扬州市职业大学(扬州开放大学) | High-efficiency consumption management system and method based on industrial Internet of things |
| CN116976706A (en) * | 2023-09-21 | 2023-10-31 | 深圳中正信息科技有限公司 | Building energy efficiency monitoring method, equipment and readable storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6744814B1 (en) * | 2000-03-31 | 2004-06-01 | Agere Systems Inc. | Method and apparatus for reduced state sequence estimation with tap-selectable decision-feedback |
| CN102663232A (en) * | 2012-03-13 | 2012-09-12 | 江苏润和软件股份有限公司 | Multi-dimensional simulation analysis system and method thereof for user energy efficiency evaluation |
| CN103713275A (en) * | 2013-10-24 | 2014-04-09 | 国网安徽省电力公司 | Method judging electric energy meter metering inaccuracy abnormities based on multidimensional association rule algorithm |
| CN105225165A (en) * | 2014-07-02 | 2016-01-06 | 深圳供电局有限公司 | The temporary drop characteristic analytical approach of a kind of transformer substation voltage based on Apriori algorithm |
| CN105704230A (en) * | 2016-03-16 | 2016-06-22 | 山东建筑大学 | Intelligent building integration system and control method based on internet of things and cloud computing |
| CN106094744A (en) * | 2016-06-04 | 2016-11-09 | 上海大学 | The determination method of thermoelectricity factory owner's operational factor desired value based on association rule mining |
| CN106211214A (en) * | 2016-08-31 | 2016-12-07 | 上海交通大学 | Wireless sensing network system based on the scheduling of efficiency prediction optimization |
-
2016
- 2016-12-13 CN CN201611145367.8A patent/CN106597862B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6744814B1 (en) * | 2000-03-31 | 2004-06-01 | Agere Systems Inc. | Method and apparatus for reduced state sequence estimation with tap-selectable decision-feedback |
| CN102663232A (en) * | 2012-03-13 | 2012-09-12 | 江苏润和软件股份有限公司 | Multi-dimensional simulation analysis system and method thereof for user energy efficiency evaluation |
| CN103713275A (en) * | 2013-10-24 | 2014-04-09 | 国网安徽省电力公司 | Method judging electric energy meter metering inaccuracy abnormities based on multidimensional association rule algorithm |
| CN105225165A (en) * | 2014-07-02 | 2016-01-06 | 深圳供电局有限公司 | The temporary drop characteristic analytical approach of a kind of transformer substation voltage based on Apriori algorithm |
| CN105704230A (en) * | 2016-03-16 | 2016-06-22 | 山东建筑大学 | Intelligent building integration system and control method based on internet of things and cloud computing |
| CN106094744A (en) * | 2016-06-04 | 2016-11-09 | 上海大学 | The determination method of thermoelectricity factory owner's operational factor desired value based on association rule mining |
| CN106211214A (en) * | 2016-08-31 | 2016-12-07 | 上海交通大学 | Wireless sensing network system based on the scheduling of efficiency prediction optimization |
Non-Patent Citations (2)
| Title |
|---|
| 吴晓龙: ""基于电气设备物联网的建筑节能应用研究"", 《中国优秀硕士学位论文全文数据库工程科技II辑》 * |
| 苏江夺: ""基于关联规则挖掘的节能系统用电分项关联耦合分析的研究与实现"", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111177216A (en) * | 2019-12-23 | 2020-05-19 | 国网天津市电力公司电力科学研究院 | Association rule generation method and device for behavior characteristics of comprehensive energy consumer |
| CN111177216B (en) * | 2019-12-23 | 2024-01-05 | 国网天津市电力公司电力科学研究院 | Association rule generation method and device for comprehensive energy consumer behavior characteristics |
| CN111260138A (en) * | 2020-01-18 | 2020-06-09 | 湖南大学 | Thermal power generating unit energy consumption dynamic optimization method based on weighting and self-adaptive parallel association rules |
| CN111260138B (en) * | 2020-01-18 | 2023-05-26 | 湖南大学 | Dynamic optimization method for thermal power unit energy consumption by weighting and self-adaptive parallel association rule |
| CN111459037B (en) * | 2020-02-27 | 2021-09-14 | 珠海格力电器股份有限公司 | Intelligent household system control method and device, electronic equipment and readable storage medium |
| CN111459037A (en) * | 2020-02-27 | 2020-07-28 | 珠海格力电器股份有限公司 | Intelligent household system control method and device, electronic equipment and readable storage medium |
| CN111679593A (en) * | 2020-05-20 | 2020-09-18 | 青岛黄海学院 | Building energy consumption main influence factor analysis system based on computer big data |
| CN111720954A (en) * | 2020-06-17 | 2020-09-29 | 珠海格力电器股份有限公司 | Energy-saving method and energy-saving operation system for product |
| CN111929496A (en) * | 2020-09-05 | 2020-11-13 | 广州天萌建筑设计有限公司 | Energy consumption acquisition, monitoring, analysis and alarm system for independent rooms of office building |
| CN114880959A (en) * | 2022-07-11 | 2022-08-09 | 广东电网有限责任公司佛山供电局 | Input variable acquisition method and system for building energy consumption hybrid model |
| CN114880959B (en) * | 2022-07-11 | 2022-12-30 | 广东电网有限责任公司佛山供电局 | Input variable acquisition method and system for building energy consumption hybrid model |
| CN116205467A (en) * | 2023-04-28 | 2023-06-02 | 扬州市职业大学(扬州开放大学) | High-efficiency consumption management system and method based on industrial Internet of things |
| CN116976706A (en) * | 2023-09-21 | 2023-10-31 | 深圳中正信息科技有限公司 | Building energy efficiency monitoring method, equipment and readable storage medium |
| CN116976706B (en) * | 2023-09-21 | 2023-12-19 | 深圳中正信息科技有限公司 | Building energy efficiency monitoring method, equipment and readable storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106597862B (en) | 2019-06-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106597862B (en) | Building energy consumption control device and method based on association rule mining | |
| CN101854281B (en) | Internet-of-things system of building electric device | |
| CN103338565A (en) | Intelligent illumination control system and method based on wireless sensor network | |
| CN107547280A (en) | A kind of Internet of Things the intelligence building system framework | |
| CN201796269U (en) | Building electric equipment networking system | |
| CN113435657A (en) | Data integration processing method, system, energy management system, electronic device and computer readable storage medium | |
| CN112213982A (en) | City wisdom heating management and control integration system based on internet of things | |
| CN106899468A (en) | Intelligent domestic system based on Internet of Things | |
| Ma et al. | Supervisory and Energy Management System of large public buildings | |
| CN104035755B (en) | A kind of general development device of greenhouse remote intelligent control system and development approach | |
| CN211149228U (en) | Building energy consumption collection system based on crowd's intelligence | |
| CN113050523B (en) | Electric power monitoring system based on big data fusion model | |
| CN105003958A (en) | Internet-of-Things-based urban region centralized heat supply monitoring system and heat supply system | |
| Shaikh et al. | Research on wireless sensor network technology | |
| CN104635685A (en) | Building energy-saving monitoring system and monitoring method based on 6LowPAN technology and cloud service | |
| CN109409732A (en) | A kind of energy consumption management system and management method | |
| KR20150026230A (en) | Self running building energy management system using bim data | |
| CN115047821A (en) | Intelligent monitoring system for live pig breeding environment and evaluation method thereof | |
| CN202562513U (en) | Soil moisture monitoring device based on Internet of Things mode | |
| CN109788057B (en) | Dynamic virtual configuration method and system for Internet of things equipment | |
| CN110579011A (en) | Energy efficiency precise control management system for unattended intelligent central air conditioner | |
| CN106020152A (en) | Building environment energy conservation management system | |
| CN105182894A (en) | Remote control system and method for heat energy equipment | |
| CN209994398U (en) | Large building environmental monitoring system based on loRa | |
| CN202617171U (en) | Heat supply network remote monitoring system based on wireless sensor network |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20220406 Address after: 250000 5th floor, building 2, Aosheng building, 1166 Xinluo street, high tech Industrial Development Zone, Jinan City, Shandong Province Patentee after: SHANDONG ZHENGCHEN POLYTRON TECHNOLOGIES Co.,Ltd. Address before: Fengming Road District of Ji'nan City, Shandong province 250101 port development Patentee before: SHANDONG JIANZHU University |