CN103149898A - Smart home study system and method based on multiple agents - Google Patents
Smart home study system and method based on multiple agents Download PDFInfo
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- CN103149898A CN103149898A CN2013100402359A CN201310040235A CN103149898A CN 103149898 A CN103149898 A CN 103149898A CN 2013100402359 A CN2013100402359 A CN 2013100402359A CN 201310040235 A CN201310040235 A CN 201310040235A CN 103149898 A CN103149898 A CN 103149898A
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- 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
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention provides a smart home study system and a method based on multiple agents. The smarthome study system and the method based on the multiple agents comprise a plurality of device agents, a plurality of collaborative management agents and at least one organization planning agent. The organization planning agent, the collaborative management agents and the device agents are mutually connected. The smarthome study system and the method based on the multiple agents are characterized in that the device agents can collect home using information, the collaborative management agents collect the information which is obtained by the device agents, the organization planning agent aggregates and processes the information which is sent by each device agent and each collaborative management agent, services types and conditions of each agent can be recorded, tasks which are distributed by users can be comprehended, the tasks are divided, and the tasks are negotiated or sent to each collaborative management agent to be handled.
Description
Technical field
The present invention relates to internet of things intelligent household application technology apparatus field, especially relate to a kind of Smart Home learning system and method based on many agent.
Background technology
Present intelligent domestic system generally has an electric control, home entertaining service and household safety-protection 3 broad aspect functions, specifically comprises indoor electric appliance automatic control and management, illumination control, temperature and humidity control, security protection newspaper etc., telemonitoring and the functions such as Long-distance Control, remote meter reading (water meter, ammeter, gas meter).The steering order that during intelligent terminal receives, the control machine sends operates accordingly to household electrical appliances, or meet certain situation and carry out the instruction that presets in advance, present Smart Home is all this reception---the pattern of execution, they can not make to the situation at scene the judgement of intelligence, thereby carry out corresponding operation.Be that present Smart Home intelligence realizes passive fill order, and can not and make active reaction according to surrounding environment according to user's custom, can not satisfy the use of Modern Smart Home.
Summary of the invention
In order to make up the passive fill order of present Smart Home intelligence, can only react after receiving order, can not automatically regulate the defective that adapts to the user, the present invention proposes a kind of Smart Home learning system and method based on many agent.
the technical scheme that realizes above-mentioned purpose is, a kind of Smart Home learning system based on many agent, comprise a plurality of equipment agent, a plurality of cooperation management agent and at least one agent of organizational planning, the described agent of organizational planning, interconnect between cooperation management agent and equipment agent, described equipment agent collects household use information, the resulting information of cooperation management agent collection management equipment agent, the agent of organizational planning collects the information that each equipment agent and cooperation management agent send and process, record COS and the state of each agent, understand the task of user assignment, task is divided, and consult or be assigned to each cooperation management agent and go to process.
A kind of for the said system learning method, its process comprises following step:
(1) equipment agent directly connects each control terminal, each operation of recording user, and operation information is sent to assistance agent and the agent of organizational planning;
(2) cooperation management agent accepts the information that sends over from a plurality of equipment agent, and the information of its equipment agent that administers is done preliminary filtration, analysis;
(3) information that sends over of the agent of organizational planning collecting device agent and cooperation management agent, plan processing to these information, carries out simultaneously task and distribute, and again rule of conduct modified, and completes the process of study.
A kind of intelligent domestic system that adopts said system, described system comprises household electrical appliance, cross the background processor of collecting filter and being connected with the information filtrator with the household electrical appliance information also that is fixed together, described household electrical appliance are fixed with equipment agent module, information is crossed the collection filter and is fixed with cooperation management agent module, and background processor is fixed with the agent of organizational planning module.
Method of the present invention makes system oneself identify certain situation, and terminal is controlled accordingly, thereby realize real " intelligence " household by the study to user's routine use custom.The present invention and household electrical appliance are integrated together, and automatically control household electrical appliance and react according to user's custom in daily life, improve the intellectuality of household.
Description of drawings
Fig. 1 is the structural representation of the agent system of one embodiment of the present invention;
Fig. 2 is the structural representation of the agent of organizational planning of one embodiment of the present invention;
Fig. 3 is the method flow schematic diagram of one embodiment of the present invention;
Fig. 4 is the structural representation of the intelligent domestic system of one embodiment of the present invention.
Embodiment
The present invention will be further described with reference to the accompanying drawings.
in conjunction with Fig. 1, a kind of Smart Home using method based on many agent, comprise a plurality of equipment agent, a plurality of cooperation management agent and at least one agent of organizational planning, the described agent of organizational planning, interconnect between cooperation management agent and equipment agent, it is characterized in that, described equipment agent collects household use information, the resulting information of cooperation management agent collection management equipment agent, the agent of organizational planning collects the information that each equipment agent and cooperation management agent send and process, record COS and the state of each agent, understand the task of user assignment, task is divided, and consult or be assigned to each cooperation management agent and go to process.Intelligent domestic system based on agent is realized house system holistic management pattern with the concept of serving, and embodies the intelligent of a kind of integral body in the process of autonomous operation and assisting users realization management.Utilize the intelligence learning algorithm, user's historical behavior, environment are learnt, one group of rule, make system intelligence ground realization meet the domestic environment of personal habits and environment control automatically by the time.Intelligent domestic system based on agent mainly is divided into 3 agent, the agent of organizational planning, cooperation management agent and equipment agent
Equipment agent is responsible for acting on behalf of information interaction and certain concrete service function of the equipment room in family.Equipment agent asks with the data that agent communication standard form is accepted other agent.Equipment agent is with 5 an element group representations＜I, R, P, B, K 〉, wherein I is that agent represents.R is condition-rule of conduct set; P is the defeated people's set of perception and information; B is the behavior set, and K is that agent completes the mutual institute of function realization essential knowledge summation action request.
Coordinated management agent carries out integrated management for a certain generic task or service.Cooperation management agent has stronger knowledge understanding ability, the coordination ability, can consult accept local task with the agent of organizational planning, it is decomposed, and the equipment agent of transferring to goes to carry out, and has co-operating ability between each coordinated management agent.Cooperation management agent is defined as with one hexa-atomic group:＜I, S, K, R, B, X 〉, wherein I is that agent indicates, S is the field state set; K is the cooperation knowledge collection; R is the cooperation regular collection, and B is the behavior set; X is the operation knowledge collection.Its structure such as Fig. 3, organizational planning record COS and the state of each agent; Complete the management of the stages in the life cycles such as generation to each agent, activity, extinction.Understand the task of user assignment, task is carried out coarseness divide, and through consultation or be assigned to each cooperation management agent and go to process; In the process of tasks carrying, utilize the intelligence learning algorithmic rule to go out general in this family and the long-term service regulation that uses, complete the study optimizing process.The agent of organizational planning have the adjustment System overall situation the power General Requirements they possess overall situation planning, the overall situation is controlled and collaboration capabilities.The agent of organizational planning is defined as with seven tuples:＜I, K, B, G, P, X, Y 〉, wherein I is that agent indicates; K is the knowledge collection that forms for genuine knowledge; B is the initial knowledge set; G is the initial rules set; P is the static rule set; X is system's global knowledge set; B is the behavior set.
In the present invention, adopt the learning process of this system to comprise following step:
(1) equipment agent directly connects each control terminal, each operation of recording user, and operation information is sent to assistance agent and the agent of organizational planning;
(2) cooperation management agent accepts the information that sends over from a plurality of equipment agent, and the information of its equipment agent that administers is done preliminary filtration, analysis;
(3) information that sends over of the agent of organizational planning collecting device agent and cooperation management agent, plan processing to these information, carries out simultaneously task and distribute, and again rule of conduct modified, and completes the process of study.
In conjunction with Fig. 3, a flow process of the learning process of the method.This learning process intelligence learning method extracts a rule of conduct from user's historical behavior, with the new behavior of behavior rule match user, if coupling always, not act of revision is regular, if mate inconsistent, improve rule of conduct, new rule of conduct is gone the new behavior of match user, constantly improve rule of conduct.For example: certain user goes back home, and frequent first thing feelings are to turn on televisor when middle, equipment agent collects this operation of user, information is passed to cooperation agent and the agent of organizational planning, and the agent of organizational planning gets up these informations, forms user's rule of conduct.During certain user goes back home, do not turn on televisor, at this time equipment agent passes to cooperation agent and the agent of organizational planning with this information, and the agent of organizational planning receives this information, remodify simultaneously rule of conduct, constantly improve user's rule of conduct.
In conjunction with Fig. 4, a kind of intelligent domestic system that adopts above-mentioned learning system, comprise household electrical appliance, cross the background processor of collecting filter and being connected with the information filtrator with the household electrical appliance information also that is fixed together, described household electrical appliance are fixed with equipment agent module, information is crossed the collection filter and is fixed with cooperation management agent module, and background processor is fixed with the agent of organizational planning module.In the present invention, household electric appliances is communicated with into internet of things, complete the effect of the agent of organizational planning by background server, the information filtrator is as the node of cooperation agent layer, collect the information of the sensing controler that is fixed together with household electrical appliance, sensing controler has been realized the effect of equipment agent node.
The above; be better case study on implementation of the present invention; be not that the present invention is imposed any restrictions, every any simple modification, change and equivalent structure of above embodiment being done according to the technology of the present invention essence changes, and all still belongs in the protection domain of technical solution of the present invention.
Claims (3)
1. Smart Home learning system based on many agent, this system comprises a plurality of equipment agent, a plurality of cooperation management agent and at least one agent of organizational planning, the described agent of organizational planning, interconnect between cooperation management agent and equipment agent, it is characterized in that, described equipment agent collects household use information, the resulting information of cooperation management agent collection management equipment agent, the agent of organizational planning collects the information that each equipment agent and cooperation management agent send and process, record COS and the state of each agent, understand the task of user assignment, task is divided, and consult or be assigned to each cooperation management agent and go to process.
2. a Smart Home learning method that is used for the described system of claim 1, is characterized in that, described learning process comprises following step:
(1) equipment agent directly connects each control terminal, each operation of recording user, and operation information is sent to assistance agent and the agent of organizational planning;
(2) cooperation management agent accepts the information that sends over from a plurality of equipment agent, and the information of its equipment agent that administers is done preliminary filtration, analysis;
(3) information that sends over of the agent of organizational planning collecting device agent and cooperation management agent, plan processing to these information, carries out simultaneously task and distribute, and again rule of conduct modified, and completes the process of study.
3. the intelligent domestic system of integrated claim 1 a described system, it is characterized in that, described system comprises household electrical appliance, cross the background processor of collecting filter and being connected with the information filtrator with the household electrical appliance information also that is fixed together, described household electrical appliance are fixed with equipment agent module, information is crossed the collection filter and is fixed with cooperation management agent module, and background processor is fixed with the agent of organizational planning module.
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| CN2013100402359A CN103149898A (en) | 2013-02-01 | 2013-02-01 | Smart home study system and method based on multiple agents |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103499957A (en) * | 2013-09-26 | 2014-01-08 | 国家电网公司 | Multi-agent-based management control system for wind-solar complementary power generation system |
| CN104181886A (en) * | 2014-08-13 | 2014-12-03 | 惠州Tcl移动通信有限公司 | Intelligent home system and intelligent home control method |
| CN104865929A (en) * | 2015-03-27 | 2015-08-26 | 重庆大学 | Humanoid-behavior-based intelligent household power supply control system |
| CN104965503A (en) * | 2015-07-17 | 2015-10-07 | 江西洪都航空工业集团有限责任公司 | Intelligent household control system based on machine learning |
| CN105137781A (en) * | 2015-07-31 | 2015-12-09 | 深圳广田智能科技有限公司 | Triggering method and system for smart home mode |
| CN105320098A (en) * | 2014-07-31 | 2016-02-10 | 宇龙计算机通信科技(深圳)有限公司 | Smart home control method and smart home control system |
| CN105630456A (en) * | 2014-11-05 | 2016-06-01 | 中兴通讯股份有限公司 | Instruction processing method and device |
| CN107544248A (en) * | 2017-09-13 | 2018-01-05 | 上海思岚科技有限公司 | A kind of task optimization method and apparatus in mobile robot |
| CN113406893A (en) * | 2021-07-14 | 2021-09-17 | 南通大学 | Intelligent home system based on edge gateway and application thereof |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103499957A (en) * | 2013-09-26 | 2014-01-08 | 国家电网公司 | Multi-agent-based management control system for wind-solar complementary power generation system |
| CN105320098A (en) * | 2014-07-31 | 2016-02-10 | 宇龙计算机通信科技(深圳)有限公司 | Smart home control method and smart home control system |
| CN104181886A (en) * | 2014-08-13 | 2014-12-03 | 惠州Tcl移动通信有限公司 | Intelligent home system and intelligent home control method |
| CN105630456A (en) * | 2014-11-05 | 2016-06-01 | 中兴通讯股份有限公司 | Instruction processing method and device |
| CN104865929A (en) * | 2015-03-27 | 2015-08-26 | 重庆大学 | Humanoid-behavior-based intelligent household power supply control system |
| CN104965503A (en) * | 2015-07-17 | 2015-10-07 | 江西洪都航空工业集团有限责任公司 | Intelligent household control system based on machine learning |
| CN105137781A (en) * | 2015-07-31 | 2015-12-09 | 深圳广田智能科技有限公司 | Triggering method and system for smart home mode |
| CN105137781B (en) * | 2015-07-31 | 2019-12-03 | 深圳广田智能科技有限公司 | The triggering method and system of smart home mode |
| CN107544248A (en) * | 2017-09-13 | 2018-01-05 | 上海思岚科技有限公司 | A kind of task optimization method and apparatus in mobile robot |
| CN107544248B (en) * | 2017-09-13 | 2019-12-13 | 上海思岚科技有限公司 | Task optimization method and device in mobile robot |
| US11561820B2 (en) | 2017-09-13 | 2023-01-24 | Shanghai Slamtec Co., Ltd. | Task optimization method and task optimization device in mobile robot |
| CN113406893A (en) * | 2021-07-14 | 2021-09-17 | 南通大学 | Intelligent home system based on edge gateway and application thereof |
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Application publication date: 20130612 |