CN107392465A - Build the operation management method and server of electromechanical equipment - Google Patents
Build the operation management method and server of electromechanical equipment Download PDFInfo
- Publication number
- CN107392465A CN107392465A CN201710592628.9A CN201710592628A CN107392465A CN 107392465 A CN107392465 A CN 107392465A CN 201710592628 A CN201710592628 A CN 201710592628A CN 107392465 A CN107392465 A CN 107392465A
- Authority
- CN
- China
- Prior art keywords
- customization
- target component
- attribute
- time parameter
- service
- 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
- 238000007726 management method Methods 0.000 title claims abstract description 25
- 238000000034 method Methods 0.000 claims abstract description 25
- 230000033228 biological regulation Effects 0.000 claims abstract description 17
- 230000001105 regulatory effect Effects 0.000 claims abstract description 16
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 15
- 230000001276 controlling effect Effects 0.000 claims abstract description 5
- 230000009471 action Effects 0.000 claims description 14
- 230000007935 neutral effect Effects 0.000 claims description 12
- 238000013499 data model Methods 0.000 claims description 6
- 238000009825 accumulation Methods 0.000 claims description 3
- 230000005662 electromechanics Effects 0.000 claims description 2
- 241000406668 Loxodonta cyclotis Species 0.000 claims 3
- 241000208340 Araliaceae Species 0.000 claims 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims 1
- 235000003140 Panax quinquefolius Nutrition 0.000 claims 1
- 235000008434 ginseng Nutrition 0.000 claims 1
- 238000005265 energy consumption Methods 0.000 description 13
- 238000010586 diagram Methods 0.000 description 12
- 238000004590 computer program Methods 0.000 description 6
- 238000001816 cooling Methods 0.000 description 6
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 229910002092 carbon dioxide Inorganic materials 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 238000010438 heat treatment Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 238000012549 training Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 238000005286 illumination Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000004378 air conditioning Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 239000001569 carbon dioxide Substances 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000003344 environmental pollutant Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000002569 neuron Anatomy 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 231100000719 pollutant Toxicity 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000003827 upregulation Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Educational Administration (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Feedback Control In General (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
This application provides a kind of operation management method and server for building electromechanical equipment, this method includes：Every attribute of customization service object is determined according to the customization target component of input；Obtain the parameter current of object items attribute；One or more regulating commands are included according to the adjusted strategy of preset algorithm, regulation strategy according to customization target component and parameter current；According to regulating command corresponding to regulation strategy output to the building electromechanical equipment for controlling the object.Provide the building Mechatronic Systems integrity service management can quantify, may customize, can verify that.
Description
Technical field
The application is related to the control technology field of building Mechatronic Systems, more particularly to a kind of operation pipe for building electromechanical equipment
Reason method and server.
Background technology
The real estate management in current China is still in the more primary starting stage, then using traditional in management method
" people's pipe people " mode, by higher level's collection work demand, performed arranged to subordinate, then checked by higher level.Occur currently on the market
Some " property information system management platforms ", but be also only that work arrangements, the process performed are moved on information platform and carried out,
Do not change estate management pattern inherently, that leading role is accounted in management is still " people ".This mode maximum
Drawback is to depend on the subjective judgement of people unduly so that active service horizontal instability, not transreplication and the expansion of outstanding managerial experiences
Exhibition, and input great effort is also required in terms of supervision.In addition, the service that property provides can only also be entered in a manner of subjective from process
Row description, without objective judgment criteria, industry is caused to enter the competition predicament of low-quality low price.
It is currently used in the Mechatronic Systems of auxiliary production field, such as business or the air-conditioning system in office building, illumination system
System, the heating and cooling system, the cooling system of data center module etc. in industry, it is based on fixed mesh to Mechatronic Systems operational management
Mark, management is performed by property worker；Client is without right to choose flexible enough, it is impossible to meets personalized service need well
Ask.
The content of the invention
In view of this, the embodiment of the present application provides a kind of building electromechanical equipment operation management method and server, to
Solve the respective services provided in the prior art based on building electromechanical equipment, user can not realize that the technology of personalized customization is asked
Topic.
According to the one side of the embodiment of the present application, there is provided a kind of operation management method for building electromechanical equipment, it is described
Method includes：Every attribute of customization service object is determined according to the customization target component of input；Obtain the every category of the object
The parameter current of property；According to the customization target component and parameter current according to the adjusted strategy of preset algorithm, the regulation
Strategy includes one or more regulating commands；According to regulating command corresponding to the regulation strategy output to controlling the object
Build electromechanical equipment.
According to the another aspect of the embodiment of the present application, there is provided a kind of server, including：Processor；Handled for storage
The memory of device executable instruction；Wherein, the processor is configured as：The building electromechanics that the embodiment of the present application provides is performed to set
Standby operation management method.
The beneficial effect of the embodiment of the present application includes：It is overall to provide the building Mechatronic Systems can quantify, may customize, can verify that
Service management, realize from data automatic collection demand, automatically analyze the complete unmanned management of decision-making, compared to existing based on warp
The management tested, the administrative decision based on data analysis realize more efficient, energy-conservation electromechanical equipment operation.
Brief description of the drawings
By the description to the embodiment of the present application referring to the drawings, the above-mentioned and other purpose of the application, feature and
Advantage will be apparent from, in the accompanying drawings：
Fig. 1 is the configuration diagram of the embodiment of the present application；
Fig. 2 is the schematic diagram acted in the embodiment of the present application based on algorithm and data prediction execution；
Fig. 3 is the schematic diagram that interior construction spacing environment is adjusted in the embodiment of the present application；
Fig. 4 is the schematic diagram for estimating operating cost in the embodiment of the present application by multiple models.
Embodiment
The application is described below based on embodiment, but the application is not restricted to these embodiments.Under
Text is detailed to describe some specific detail sections in the detailed description of the application.Do not have for a person skilled in the art
The description of these detail sections can also understand the application completely.In order to avoid obscuring the essence of the application, known method, mistake
The not narration in detail of journey, flow, element and circuit.
In addition, it should be understood by one skilled in the art that provided herein accompanying drawing be provided to explanation purpose, and
What accompanying drawing was not necessarily drawn to scale.
Unless the context clearly requires otherwise, otherwise entire disclosure is similar with the " comprising " in claims, "comprising" etc.
Word should be construed to the implication included rather than exclusive or exhaustive implication；That is, it is containing for " including but is not limited to "
Justice.
In the description of the present application, it is to be understood that term " first ", " second " etc. are only used for describing purpose, without
It is understood that to indicate or implying relative importance.In addition, in the description of the present application, unless otherwise indicated, the implication of " multiple "
It is two or more.
The embodiment of the present application uses artificial intelligence technology, realizes that architectural environment, the personalized service of electromechanical equipment operation are determined
System and automatic operating decision-making, allow user freely to customize service standard, enable people to region be directly facing result to select respectively
Kind people occupies service.
Fig. 1 is the configuration diagram of the embodiment of the present application, is included respectively：
1st, definition space and equipment：Definition, including standard are standardized to the object for building electromechanical equipment operational management
Coding and logical relation definition, such as space, device service space, spatial relation, system topological relation etc. where equipment
Deng.
2nd, service standard is defined：Standards service level protocol (the Service- that can quantify, can verify that is provided in system
Level Agreement, SLA), client can quantify the various targets of setting control object according to desired environment, including
The quantified goal of environmental ecology, mechanical and electrical safety, building continuous property, cost of labor etc..
3rd, based on data model, estimated cost：On the basis of data accumulation, realized by algorithm to different service customizations
The estimation of caused cost, energy consumption cost, cost of labor, consumptive material estimation result are provided the user in customization, helps user
Make a policy.
4th, real time data, AI algorithm computings：Intelligent AI arithmetic analysis current deviation situation, and optimal correction scheme is calculated,
Immediately make a policy optimization, transfers the measures such as management, control, human resources and is automatically brought into operation total system, ultimate guarantee people occupies mesh
Target is stable to be realized.
5th, output order：Number is docked with original robot control system(RCS), property information system, WorkForm System, facilities management system etc.
According to, regulating command is sent, driving real work perform comes Correction and Control object deviation, meet customized demand.
Based on above-mentioned framework, the embodiment of the present application provides a kind of operation management method for building electromechanical equipment, is applied to
Server apparatus, this method comprise the following steps.
S10, every attribute of customization service object is determined according to the customization target component of input.
Object is to need to carry out service customization come the electromechanical equipment in the building that adjusts, system, space environment etc..Attribute is then
It is the description to the object, corresponding parameter value or the parameter value section that each attribute has.Customizing target component includes items
The parameter value of attribute or parameter value section, and the parameter value or parameter value section are come into force moment or period.
For object A, one group of attribute A can be used1, A2..., An is described.During service customization, A every attribute is set
Target interval：
A1:[a11,a12]
A2:[a21,a22]
……
An:[an1,an2]；
Meanwhile set the time range [t that this group customization target component comes into force1,t2]。
So, you can describe the service customization result of any object (space, system, equipment etc.) at any time.
In one embodiment, every attribute of object includes：Described in user satisfaction, the physical parameter of object and control
The building electromechanical equipment parameter of object, so as to carry out service customization from many levels.
For example, the customization service standard definition to " space environment " is divided into three layers, first layer defines the subjectivity of terminal user
Impression, such as satisfaction, the rate of complaints；The physical attribute parameter of second layer definition space environment, as temperature, humidity, PM2.5 are dense
Degree, CO2 concentration, illumination etc.；Third layer defines the Mechatronic Systems parameter for regulating and controlling the space, such as resh air requirement, rotation speed of fan, shelves
Position setting etc..When setting customized parameter, the following period of time of each attribute on a timeline can be directed to and input one group of desired value, i.e.,
As service customization target.The input can be had been manually done by manager, can also be according to certain rule generation (such as base
Degrees of data generation is satisfied with history, or generation is provided based on the industry to particular type space).The service standard is defined as follows table
It is shown.
Coupled relation be present between each level attributes, once set at the service request of higher level, be then associated
Inferior grade service request not revival.If for example, artificial " the fan coil air-supply gear " set in the third level,
" valve switch ", the then then not revival of " temperature " in the second level, because space temperature is by the fan coil in the third level
Close coupling relation be present come what is adjusted in gear, valve switch.Customized in the embodiment of the present application by the attribute of multi-layer to realize
The various individual demands of user.
S11, obtain the parameter current of object items attribute.
By the modes such as internet of things sensors/or mobile Internet obtain building electromechanical equipment and space environment it is each
Item parameter current.
S12, according to customization target component and parameter current according to the adjusted strategy of preset algorithm,
Regulation strategy includes one or more regulating commands.
In service customization, any point t or random time section [t on time shaft are set1,t2] service determine
System requires.For example, being directed to object A, there is one group of attribute A1,A2..., An.It is respectively provided with target interval：
A1:[a11,a12]
A2:[a21,a22]
……
An:[an1,an2]
In t, attribute A is collected by Internet of things system (or the other modes such as mobile Internet)iCurrent state be bi
(t).This when inscribe, the attribute status parameter group for describing the object is set to b (t).
It is c that all action taken, which are compiled,1~cn, as shown in Fig. 2 using suitable algorithm, judgement now needs what is taken
Action group c (t) so that b in the t+1 momenti(t+1)∈[ai1,ai2]。
Algorithm can be the Fuzzy Control of Q study (Q-learning), neuron, deep learning or comparison basis
System.Herein by taking preferable Q-learning as an example, declarative procedure.
Based on historical data, neutral net is trained, is realized lower for the moment based on current state b (t) and action group c (t), prediction
Quarter state b (t+1).
Based on historical data, Q value tables are trained, for abscissa to be possible to the action c taken, ordinate is all possible
State b.Wherein dijUnder b states, to take the score value after c action.By b (t) and c (t) prediction b ' (t+1), if b ' (t+1) ∈
[a1,a2] (i.e.：Meet that customization requires), then by corresponding d score values to up-regulation；Conversely, if result divides d away from customization target
Value is lowered.
Training result is used for actual motion, for the Obj State group b (t) of t, taken corresponding to score value highest d
Action group c, as the instruction c (t) now exported.
Continuation gives intensive training by force to neutral net and Q value tables, with actual subsequent time operation result b (t+1) no
Disconnected amendment neutral net and training Q value tables so that the prediction of neutral net and Q value tables is more accurate.
As shown in figure 3, it is the schematic diagram that interior construction spacing environment is adjusted.The controlled plant of service customization is
Sp235 (space 235) and its attribute dry-bulb temperature and CO2Concentration.Then current actual dry-bulb temperature and CO are obtained2Concentration, and
It is input to the space environment adjustment unit comprising neutral net and Q value tables.Then regulation strategy corresponding to output, strategy bag is adjusted
Multiple regulating commands are included, such as PAU2-1 (new blower fan 2-1) start and stop/blower fan frequency/water valve unlatching/wind pushing temperature setting, FCU-05
(fan coil -05) start and stop/blower fan gear/design temperature, sp235 windows open etc., finally by these regulating commands export to
Outside Mechatronic control system.Wherein, the neutral net of space environment adjustment unit and Q value tables are trained using historical data.
S13, according to regulating command corresponding to regulation strategy output to the building electromechanical equipment of control object.
Building electromechanical equipment is driven to perform actual act according to the regulating command, to correct deviation to meet the customization of user
Demand.
In addition, regulating command can also be the manual operation instruction for non-networked equipment.Instructed by the manual operation
Trigger the generation of work order and distribute, the staff that work order is distributed by receiving performs corresponding operation to non-networked equipment.
The embodiment of the present application provides the overall Mechatronic Systems service of " can quantify ", " customizable ", " can verify that ", apparent
Value of services is transmitted, allows building Mechatronic Systems operation management system to produce differentiation, meets individual requirements.
In another embodiment, determine that the every of customization service object belongs to according to the customization target component of input in S10
After property, this method is further comprising the steps of.
S13, according to the operating cost of customization target component estimation customization service.
Energy consumption cost, cost of labor, consumptive material estimation result are provided the user in customization, helps user to make a policy.
Firstly generate data model.Model also may be used to improve regression tree (Boosted trees regression) model
To use other models, such as multilayer neural network.Historical data generation model can be based on for existing project, for New any
Mesh is then based on analogue data generation model；If without analogue data, the model of similar building is used.
Service customization standard is then introduced into, operating cost is calculated according to model.
For example, inputting date, the time, space environment history data (by when humiture, carbon dioxide, pollutant mesh
Mark), location outdoor weather historical data, history personnel equipment work and rest etc. data, export annual total energy consumption actual value.
As shown in figure 4, during estimation operating cost, total operating cost can be gone out by multiple model comprehensive estimates.Utilize mould
Type 0 goes out personnel according to the date type and time estimation of input and works and rests (socket energy consumption)；Personnel are worked and rested (socket energy consumption), CO2
Demand input model 3 obtains resh air requirement and fresh air energy consumption；Resh air requirement, personnel's work and rest (socket energy consumption), outdoor temperature, interior is flat
Equal temperature input model 1 together, obtains total cooling and heating load, then total cooling and heating load input model 2 is obtained into Cooling and Heat Source energy consumption；By day
Phase type and time are input to model 4 again, obtain other energy consumptions；Summary fresh air energy consumption, Cooling and Heat Source energy consumption and other energy consumptions
Estimate the total energy consumption of this customization.
S14, operating cost is exported, to determine whether to perform customization service.
The operating cost estimated is shown, is serviced by whether user's decision-making performs this customization.In response to the selection of user
Operation services to perform or cancel this customization.
In the present embodiment, based on cost estimation user can be helped to select more efficient more energy efficient Personalized service side
Case.
In addition, in the embodiment of the present application, running the server of the operation management method of above-mentioned building electromechanical equipment can lead to
Hardware processor (hardware processor) is crossed to realize above-mentioned each functional steps.Server includes：Processor, it is used for
Store the memory of processor-executable instruction；Wherein, processor is configured as：It is fixed to be determined according to the customization target component of input
Every attribute of service object processed；Obtain the parameter current of object items attribute；Pressed according to customization target component and parameter current
According to the adjusted strategy of preset algorithm, regulation strategy includes one or more regulating commands；According to corresponding to regulation strategy output
Regulating command to control object building electromechanical equipment.
In one embodiment, after every attribute that customization service object is determined according to the customization target component of input,
Processor is configured to：According to the operating cost of customization target component estimation customization service；Operating cost is exported, so as to
Determine whether to perform customization service.
In one embodiment, included according to the operating cost of the customization target component estimation customization service：According to right
As the history parameters or analog parameter of every attribute generate data model；Customization target component is inputted into the data model estimation
Go out operating cost.
In one embodiment, the every attribute for determining customization service object according to the customization target component of input includes：
Desired value or the desired value section of every attribute are determined according to the customization target component of input, and customizes what target component came into force
Moment or period.
In one embodiment, every attribute of object includes：Described in user satisfaction, the physical parameter of object and control
The building electromechanical equipment parameter of object.
In one embodiment, wrapped according to customization target component and parameter current according to the adjusted strategy of preset algorithm
Include：Current time parameter group is inputted into the adjusted strategy of preset algorithm, the subsequent time obtained according to regulation strategy estimation is joined
Array meets customization target component.
In one embodiment, current time parameter group is inputted into the adjusted strategy of preset algorithm, according to regulation strategy
Estimation obtains subsequent time parameter group and meets that customization target component includes：State corresponding to current time parameter group is inputted into Q values
Table, obtain state corresponding Q values highest action group in Q value tables.
In one embodiment, state corresponding to current time parameter group is inputted into Q value tables, obtains state in Q value tables
Before corresponding Q values highest action group, processor is configured to：
Neutral net and Q value tables are trained according to the historical data of accumulation, neutral net is used for according to current time parameter group
Subsequent time parameter group is predicted with the action group of execution, Q values table is used to safeguard state and the value relation of execution action.
In one embodiment, processor is configured to：According to the renewal of the subsequent time parameter group of reality
Neutral net and Q value tables.
It will be understood by those skilled in the art that embodiments herein can be provided as method, apparatus (equipment) or computer
Program product.Therefore, in terms of the application can use complete hardware embodiment, complete software embodiment or combine software and hardware
Embodiment form.Moreover, the application can use the meter for wherein including computer usable program code in one or more
The computer journey that calculation machine usable storage medium is implemented on (including but is not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of sequence product.
The application is the flow chart with reference to method, apparatus (equipment) and computer program product according to the embodiment of the present application
And/or block diagram describes.It should be understood that can be by each flow in computer program instructions implementation process figure and/or block diagram
And/or square frame and the flow in flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided to refer to
The processors of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is made to produce
One machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for realizing
The device for the function of being specified in one flow of flow chart or multiple flows and/or one square frame of block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which produces, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, so as in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
The preferred embodiment of the application is the foregoing is only, is not limited to the application, for those skilled in the art
For, the application can have various changes and change.All any modifications made within spirit herein and principle, it is equal
Replace, improve etc., it should be included within the protection domain of the application.
Claims (10)
1. a kind of operation management method for building electromechanical equipment, it is characterised in that methods described includes：
Every attribute of customization service object is determined according to the customization target component of input；
Obtain the parameter current of the object items attribute；
Include one according to the adjusted strategy of preset algorithm, the regulation strategy according to the customization target component and parameter current
Individual or multiple regulating commands；According to regulating command corresponding to the regulation strategy output to controlling the building electromechanics of the object to set
It is standby.
2. according to the method for claim 1, it is characterised in that customization service pair is determined according to the customization target component of input
After every attribute of elephant, methods described also includes：
According to the operating cost of the customization target component estimation customization service；
The operating cost is exported, to determine whether to perform the customization service.
3. according to the method for claim 2, it is characterised in that serviced according to the customization target component estimation customization
Operating cost include：
According to the history parameters of the object items attribute or analog parameter generation data model；
The customization target component is inputted into the data model and estimates the operating cost.
4. according to the method for claim 1, it is characterised in that customization service pair is determined according to the customization target component of input
Every attribute of elephant includes：
Desired value or the desired value section of every attribute, and the customization target ginseng are determined according to the customization target component of input
Number is at the time of come into force or the period.
5. according to the method for claim 4, it is characterised in that every attribute of the object includes：It is user satisfaction, right
The physical parameter of elephant and the building electromechanical equipment parameter for controlling the object.
6. according to the method for claim 1, it is characterised in that according to the customization target component and parameter current according to pre-
The adjusted strategy of imputation method includes：
Current time parameter group is inputted into the preset algorithm and obtains the regulation strategy, is obtained according to the regulation strategy estimation
Subsequent time parameter group meet the customization target component.
7. according to the method for claim 6, it is characterised in that current time parameter group is inputted into the preset algorithm and obtained
The regulation strategy, obtain subsequent time parameter group according to the regulation strategy estimation and meet that the customization target component includes：
State corresponding to current time parameter group is inputted into Q value tables, obtains the state corresponding Q values highest in Q value tables
Action group.
8. according to the method for claim 7, it is characterised in that state corresponding to current time parameter group is inputted into Q value tables,
The state is obtained in Q value tables before corresponding Q values highest action group, methods described also includes：
Neutral net and Q value tables are trained according to the historical data of accumulation, the neutral net is used for according to current time parameter group
Subsequent time parameter group is predicted with the action group of execution, the Q values table is used to safeguard state and the value relation of execution action.
9. according to the method for claim 8, it is characterised in that methods described also includes：
The neutral net and Q value tables are updated according to the subsequent time parameter group of reality.
A kind of 10. server, it is characterised in that
Processor；
For storing the memory of processor-executable instruction；
Wherein, the processor is configured as：Perform claim requires the operation of the building electromechanical equipment described in 1 to 9 any one
Management method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710592628.9A CN107392465B (en) | 2017-07-19 | 2017-07-19 | Operation management method and server for building electromechanical equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710592628.9A CN107392465B (en) | 2017-07-19 | 2017-07-19 | Operation management method and server for building electromechanical equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107392465A true CN107392465A (en) | 2017-11-24 |
| CN107392465B CN107392465B (en) | 2021-05-07 |
Family
ID=60335816
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710592628.9A Active CN107392465B (en) | 2017-07-19 | 2017-07-19 | Operation management method and server for building electromechanical equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107392465B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117608254A (en) * | 2024-01-19 | 2024-02-27 | 新立讯科技股份有限公司 | New energy intelligent factory BA (base station) automatic control performance evaluation method and system |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070091867A1 (en) * | 2000-12-22 | 2007-04-26 | Dominique Derou-Madeline | Adaptive routing process by deflection with training by reinforcement |
| CN102052739A (en) * | 2010-12-27 | 2011-05-11 | 重庆大学 | Central air conditioner intelligent control system based on wireless sensor network and method |
| CN103807988A (en) * | 2014-03-12 | 2014-05-21 | 侯春海 | Air conditioner control method for reserving comfortable environmental temperature |
| CN105223876A (en) * | 2015-10-23 | 2016-01-06 | 山东大卫国际建筑设计有限公司 | A kind of building electromechanical equipment TT&C system |
| CN105843037A (en) * | 2016-04-11 | 2016-08-10 | 中国科学院自动化研究所 | Q-learning based control method for temperatures of smart buildings |
| US20160275412A1 (en) * | 2015-03-17 | 2016-09-22 | Vmware, Inc. | System and method for reducing state space in reinforced learning by using decision tree classification |
| CN106225172A (en) * | 2016-08-17 | 2016-12-14 | 珠海格力电器股份有限公司 | Air conditioner control device, method and system |
| CN106487011A (en) * | 2016-11-28 | 2017-03-08 | 东南大学 | A kind of based on the family of Q study microgrid energy optimization method |
-
2017
- 2017-07-19 CN CN201710592628.9A patent/CN107392465B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070091867A1 (en) * | 2000-12-22 | 2007-04-26 | Dominique Derou-Madeline | Adaptive routing process by deflection with training by reinforcement |
| CN102052739A (en) * | 2010-12-27 | 2011-05-11 | 重庆大学 | Central air conditioner intelligent control system based on wireless sensor network and method |
| CN103807988A (en) * | 2014-03-12 | 2014-05-21 | 侯春海 | Air conditioner control method for reserving comfortable environmental temperature |
| US20160275412A1 (en) * | 2015-03-17 | 2016-09-22 | Vmware, Inc. | System and method for reducing state space in reinforced learning by using decision tree classification |
| CN105223876A (en) * | 2015-10-23 | 2016-01-06 | 山东大卫国际建筑设计有限公司 | A kind of building electromechanical equipment TT&C system |
| CN105843037A (en) * | 2016-04-11 | 2016-08-10 | 中国科学院自动化研究所 | Q-learning based control method for temperatures of smart buildings |
| CN106225172A (en) * | 2016-08-17 | 2016-12-14 | 珠海格力电器股份有限公司 | Air conditioner control device, method and system |
| CN106487011A (en) * | 2016-11-28 | 2017-03-08 | 东南大学 | A kind of based on the family of Q study microgrid energy optimization method |
Non-Patent Citations (1)
| Title |
|---|
| 孙育英等: "空调运行负荷的混沌特性分析及GRNN混沌预测方法研究", 《建筑科学》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117608254A (en) * | 2024-01-19 | 2024-02-27 | 新立讯科技股份有限公司 | New energy intelligent factory BA (base station) automatic control performance evaluation method and system |
| CN117608254B (en) * | 2024-01-19 | 2024-04-05 | 新立讯科技股份有限公司 | New energy intelligent factory BA (base station) automatic control performance evaluation method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107392465B (en) | 2021-05-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Taheri et al. | Learning-based CO2 concentration prediction: Application to indoor air quality control using demand-controlled ventilation | |
| CN113835344B (en) | Control optimization method of equipment, display platform, cloud server and storage medium | |
| Deng et al. | Reinforcement learning of occupant behavior model for cross-building transfer learning to various HVAC control systems | |
| US11783203B2 (en) | Building energy system with energy data simulation for pre-training predictive building models | |
| Kusiak et al. | Minimization of energy consumption in HVAC systems with data-driven models and an interior-point method | |
| Zeng et al. | Predictive modeling and optimization of a multi-zone HVAC system with data mining and firefly algorithms | |
| Hussain et al. | Comfort-based fuzzy control optimization for energy conservation in HVAC systems | |
| Killian et al. | Cooperative fuzzy model predictive control for heating and cooling of buildings | |
| Reena et al. | A flexible control strategy for energy and comfort aware HVAC in large buildings | |
| CN102620378A (en) | Method and system for data center energy saving controlling | |
| CN111222191A (en) | Building energy consumption optimization control method and system based on BIM and RFID | |
| Marantos et al. | Rapid prototyping of low-complexity orchestrator targeting cyberphysical systems: The smart-thermostat usecase | |
| CN107392465A (en) | Build the operation management method and server of electromechanical equipment | |
| CN110726216B (en) | Air conditioner, control method, device and system thereof, storage medium and processor | |
| CN116430748A (en) | Energy-saving control method and system based on intelligent equipment | |
| Noorazizi et al. | Black box modelling and simulating the dynamic indoor air temperature of a laboratory using ARMA model | |
| KR20200027079A (en) | Apparatus and method for optimum control of air conditioner using artificial neural network | |
| Taheri et al. | Real-world implementation of a cloud-based MPC for HVAC control in educational buildings | |
| He et al. | Composite socio-technical systems: A method for social energy systems | |
| Groumpos et al. | New advanced technology methods for energy efficiency of buildings | |
| Wang et al. | Dynamic and real-time simulation of BMS and air-conditioning system as a ‘living’environment for learning/training | |
| Guo et al. | Application of deep reinforcement learning to intelligent distributed humidity control system | |
| CN106780187A (en) | A kind of parallel management-control method of building green operation and system | |
| Aldakheel et al. | Indoor environmental quality evaluation of smart/artificial intelligence techniques in buildings–a review | |
| Quang et al. | USING DEEP LEARNING TO OPTIMIZE HVAC SYSTEMS IN RESIDENTIAL BUILDINGS |
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 |