CN106249788A - A kind of greenhouse gardening based on self-organizing monitoring specialist system - Google Patents
A kind of greenhouse gardening based on self-organizing monitoring specialist system Download PDFInfo
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- CN106249788A CN106249788A CN201610793151.6A CN201610793151A CN106249788A CN 106249788 A CN106249788 A CN 106249788A CN 201610793151 A CN201610793151 A CN 201610793151A CN 106249788 A CN106249788 A CN 106249788A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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Abstract
The invention provides a kind of greenhouse gardening based on self-organizing monitoring specialist system, the expert group formed including the user's group being made up of multiple subscriber's main stations and multiple specialist systems；Each specialist system is set up by server authentication；Each subscriber's main station connects temperature sensor, humidity sensor, soda acid sensor, smell sensor respectively and collects temperature sensor, humidity sensor, soda acid sensor, the data of smell sensor.The present invention randomly selects the set-up mode of specialist system by subscriber's main station, user's in use system can be made to judge most suitable data model voluntarily and be suitable for, thus solve the problem that above-mentioned workload is excessive, different optimal data models is selected automatically to carry out for different users, pass through to be calculated in a large number without special people or machine, user operation is got up also almost without any threshold, and market prospect is fabulous.
Description
Technical field
The present invention relates to a kind of greenhouse gardening based on self-organizing monitoring specialist system.
Background technology
In prior art, development based on sensor technology, greenhouse gardening is monitored, user can observe multinomial ginseng voluntarily
Number is with the situation of auxiliary judgment greenhouse gardening, but in practical operation, this needs user to have enough understandings to parameter, so that
Must operate threshold high, and in reality, the most schooling using this technology is relatively low, learning capacity is poor, the most only section
Grinding personnel and only a few people eager to learn can learn to study numerous parameter carefully very well, this makes to optimize booth by interpretation multiple parameters
The mode of plantation is difficult to carry out actually.
In recent years, rise based on machine learning algorithm, occur in that machine passes through the technology of data model automatic interpretation, but
In prior art, the application of this technology is to be realized by a specialist system main frame mostly, and the algorithm setting up data model has
Thousands of kinds, corresponding data model kind also has thousands of kinds, and the most different users there may be different demands, causes the suitableeest
Data model the most single, general, therefore under this premise, be by the way of artificial on a specialist system main frame
Set most suitably used data model to provide the user with the best data model result of calculation, either people or the work of machine
Measure and be all difficult to imagine, as a consequence it is hardly possible to realize.
Summary of the invention
For solving above-mentioned technical problem, the invention provides a kind of greenhouse gardening based on self-organizing monitoring specialist system,
It is somebody's turn to do greenhouse gardening based on self-organizing monitoring specialist system and is randomly selected the set-up mode of specialist system by subscriber's main station, can make
Obtain user's in use system judge most suitable data model voluntarily and be suitable for, thus solve above-mentioned work
Measure excessive problem.
The present invention is achieved by the following technical programs.
A kind of based on self-organizing the greenhouse gardening monitoring specialist system that the present invention provides, including by multiple subscriber's main station groups
The user's group become and the expert group of multiple specialist systems composition；Each specialist system is set up by server authentication；Each user
Main frame connects temperature sensor, humidity sensor, soda acid sensor, smell sensor respectively and collects temperature sensor, wet
Degree sensor, soda acid sensor, the data of smell sensor；Described subscriber's main station randomly selects specialist system and sends temperature sensing
Device, humidity sensor, soda acid sensor, the data of smell sensor also obtain corresponding end value, are then displayed to user, and
The evaluation of estimate to selected specialist system is adjusted according to user feedback result, when evaluation of estimate is less than reservation threshold, this expert
System is no longer present in choosing in list；The data that described specialist system sends according to subscriber's main station, by evaluating data model
It is evaluated, and evaluation result is fed back to the subscriber's main station of correspondence.
Evaluation of estimate is also sent to corresponding specialist system by described subscriber's main station, and described specialist system is also associated with data mould
Type storehouse, data model library storage evaluating data model, specialist system reads evaluating data model therein at random when evaluating, and
According to the evaluation of estimate got, the evaluating data model read is marked, when the commenting of labelling on any evaluating data model
When being worth less than reservation threshold, data model libraries deletes this evaluating data model.
Described subscriber's main station is also associated with sprayer controller, heating controller, spraying control device, and subscriber's main station is according to reception
To end value be controlled adjusting to sprayer controller, heating controller, spraying control device；Subscriber's main station is not anti-according to user
Feedback result adjusts evaluation of estimate, but is calculated Evaluation: Current value according to contrast current results value and a front end value.
Described end value includes total judgment value and temperature sensor, humidity sensor, soda acid sensor, smell sensor number
According to respective value, respective value is the actual value that the optimal value that specialist system calculates according to evaluating data model obtains with subscriber's main station
Difference, being calculated as of evaluation of estimate calculates above-mentioned total judgment value and the overall average of difference.
The beneficial effects of the present invention is: randomly selected the set-up mode of specialist system by subscriber's main station, can make to use
Family in use system is judged most suitable data model voluntarily and is suitable for, thus solves above-mentioned workload mistake
Big problem, selects different optimal data models automatically to carry out for different users, it is not necessary to special people or machine lead to
Excessive amount is calculated, and user operation is got up also almost without any threshold, and market prospect is fabulous.
Accompanying drawing explanation
Fig. 1 is the structural representation of the present invention；
In figure: 10-user's group, 101-subscriber's main station, 102-temperature sensor, 103-humidity sensor, 104-soda acid passes
Sensor, 105-smell sensor, 111-sprayer controller, 112-heating controller, 113-spraying control device, 20-expert group,
201-specialist system, 202-data model libraries.
Detailed description of the invention
Technical scheme is described further below, but claimed scope is not limited to described.
A kind of based on self-organizing greenhouse gardening monitoring specialist system as shown in Figure 1, including by multiple subscriber's main stations 101
Composition user organize 10 and multiple specialist system 201 composition expert group 20；Each specialist system 201 is set by server authentication
Vertical；Each subscriber's main station 101 connects temperature sensor 102, humidity sensor 103, soda acid sensor 104, abnormal smells from the patient biography respectively
Sensor 105 also collects temperature sensor 102, humidity sensor 103, soda acid sensor 104, the data of smell sensor 105；Institute
State subscriber's main station 101 to randomly select specialist system 201 and send temperature sensor 102, humidity sensor 103, soda acid sensor
104, the data of smell sensor 105 obtain the end value of correspondence, are then displayed to user, and adjust according to user feedback result
The whole evaluation of estimate to selected specialist system 201, when evaluation of estimate is less than reservation threshold, this specialist system 201 no longer occurs
In choosing list；The data that described specialist system 201 sends according to subscriber's main station 101, are commented by evaluating data model
Valency, and evaluation result is fed back to the subscriber's main station 101 of correspondence.
Thus, subscriber's main station 101 is during constantly sending, feeding back, it is possible to gradually get rid of poor specialist system
201, in the case of specialist system 201 quantity is abundant, subscriber's main station 101 finally available optimum specialist system 201, and long
Phase keeps the transmission of mutual data, thus by the way of randomly choosing, and gets rid of and artificial selects workload big, inaccurate etc. to lack
Point.
Evaluation of estimate is also sent to corresponding specialist system 201 by described subscriber's main station 101, and described specialist system 201 also connects
Being connected to data model libraries 202, data model libraries 202 stores evaluating data model, and specialist system 201 reads it at random when evaluating
In evaluating data model, and according to the evaluation of estimate got, the evaluating data model read is marked, when arbitrarily commenting
When on valency data model, the evaluation of estimate of labelling is less than reservation threshold, data model libraries 202 deletes this evaluating data model.
It is said that in general, evaluating data model is according to each sensor (temperature sensor 102, humidity sensor 103, soda acid
Sensor 104, smell sensor 105) historical data use supervised learning algorithm be calculated, the end value in supervised learning
By being artificially given.
Using threshold, further automatization for reducing user further, described subscriber's main station 101 is also associated with spraying control
Device 111 processed, heating controller 112, spraying control device 113, subscriber's main station 101 according to the end value received to sprayer controller
111, heating controller 112, spraying control device 113 are controlled adjusting；Subscriber's main station 101 does not adjusts according to user feedback result
Evaluation of estimate, but it is calculated Evaluation: Current value according to contrast current results value and a front end value.
Specifically, described end value includes total judgment value and temperature sensor 102, humidity sensor 103, soda acid sensing
Device 104, smell sensor 105 data respective value, respective value is the optimum that specialist system 201 calculates according to evaluating data model
The difference of actual value that value obtains with subscriber's main station 101, being calculated as of evaluation of estimate calculates the total flat of above-mentioned total judgment value and difference
Average.
Technical scheme, although early stage is relatively big to the input of specialist system 201, but due to life-time service during
Substantial amounts of evaluating data model can be eliminated, therefore eventually through database integration, so that specialist system 201 quantity progressively subtracts
Few, and idle specialist system 201 main frame reduced can be used for other purposes, therefore on long terms, actual total input is the highest.
Claims (4)
1. greenhouse gardening based on a self-organizing monitoring specialist system, including the user being made up of multiple subscriber's main stations (101)
The expert group (20) that group (10) and multiple specialist system (201) form, it is characterised in that: each specialist system (201) is by clothes
Business device certification is set up；Each subscriber's main station (101) connects temperature sensor (102), humidity sensor (103), soda acid respectively
Sensor (104), smell sensor (105) also collect temperature sensor (102), humidity sensor (103), soda acid sensor
(104), the data of smell sensor (105)；Described subscriber's main station (101) randomly selects specialist system (201) and sends temperature biography
Sensor (102), humidity sensor (103), soda acid sensor (104), the data of smell sensor (105) also obtain corresponding knot
Fruit value, is then displayed to user, and adjusts the evaluation of estimate to selected specialist system (201) according to user feedback result, when
When evaluation of estimate is less than reservation threshold, this specialist system (201) is no longer present in choosing in list；Described specialist system (201) root
The data sent according to subscriber's main station (101), are evaluated by evaluating data model, and evaluation result feeds back to the use of correspondence
Householder's machine (101).
2. greenhouse gardening based on self-organizing monitoring specialist system as claimed in claim 1, it is characterised in that: described use householder
Evaluation of estimate is also sent to corresponding specialist system (201) by machine (101), and described specialist system (201) is also associated with data model
Storehouse (202), data model libraries (202) storage evaluating data model, specialist system (201) reads therein commenting at random when evaluating
Valency data model, and according to the evaluation of estimate got, the evaluating data model read is marked, when any evaluating data
When on model, the evaluation of estimate of labelling is less than reservation threshold, data model libraries (202) deletes this evaluating data model.
3. greenhouse gardening based on self-organizing monitoring specialist system as claimed in claim 1, it is characterised in that: described use householder
Machine (101) is also associated with sprayer controller (111), heating controller (112), spraying control device (113), subscriber's main station (101)
It is controlled adjusting to sprayer controller (111), heating controller (112), spraying control device (113) according to the end value received
Whole；Subscriber's main station (101) does not adjusts evaluation of estimate according to user feedback result, but according to contrast current results value with front once tie
Fruit value and be calculated Evaluation: Current value.
4. greenhouse gardening based on self-organizing monitoring specialist system as claimed in claim 3, it is characterised in that: described end value
Including total judgment value and temperature sensor (102), humidity sensor (103), soda acid sensor (104), smell sensor (105)
Data respective value, respective value is the optimal value that calculates according to evaluating data model of specialist system (201) and subscriber's main station (101)
The difference of actual value obtained, being calculated as of evaluation of estimate calculates above-mentioned total judgment value and the overall average of difference.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610793151.6A CN106249788A (en) | 2016-08-31 | 2016-08-31 | A kind of greenhouse gardening based on self-organizing monitoring specialist system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201610793151.6A CN106249788A (en) | 2016-08-31 | 2016-08-31 | A kind of greenhouse gardening based on self-organizing monitoring specialist system |
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| CN106249788A true CN106249788A (en) | 2016-12-21 |
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| CN201610793151.6A Pending CN106249788A (en) | 2016-08-31 | 2016-08-31 | A kind of greenhouse gardening based on self-organizing monitoring specialist system |
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Citations (9)
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| US3787985A (en) * | 1972-08-14 | 1974-01-29 | Industrial Nucleonics Corp | Dryer control system and method |
| WO2010066375A1 (en) * | 2008-12-10 | 2010-06-17 | Atlas Copco Central Europe Gmbh | Integrated guide and control system for production and quality assurance processes in production lines having machining stations and/or tools |
| CN201624133U (en) * | 2009-12-11 | 2010-11-10 | 吉林省烟草公司白城市公司 | Central heating tobacco baking system using heat transfer oil as heat carrier |
| CN102035876A (en) * | 2010-10-15 | 2011-04-27 | 江苏鸿信系统集成有限公司 | Remote monitoring and intelligent control system and method of agricultural greenhouse based on M2M framework |
| CN102499429A (en) * | 2011-12-13 | 2012-06-20 | 卧龙电气集团股份有限公司 | Real-time clock judgment device and method for bulk curing barn controller |
| CN102885392A (en) * | 2012-09-11 | 2013-01-23 | 张家口卷烟厂有限责任公司 | Quality monitoring system and method of tobacco primary process |
| CN102999071A (en) * | 2012-11-16 | 2013-03-27 | 宁海县供电局 | Switch cabinet environment intelligent monitoring and processing system based on wireless network |
| CN203302065U (en) * | 2013-05-20 | 2013-11-27 | 扬州大学 | High-grade flower intelligent greenhouse system based on wireless network |
| CN103856491A (en) * | 2012-11-28 | 2014-06-11 | 上海贝尔软件有限公司 | Method for making decisions in server and method for obtaining decisions in device |
-
2016
- 2016-08-31 CN CN201610793151.6A patent/CN106249788A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3787985A (en) * | 1972-08-14 | 1974-01-29 | Industrial Nucleonics Corp | Dryer control system and method |
| WO2010066375A1 (en) * | 2008-12-10 | 2010-06-17 | Atlas Copco Central Europe Gmbh | Integrated guide and control system for production and quality assurance processes in production lines having machining stations and/or tools |
| CN201624133U (en) * | 2009-12-11 | 2010-11-10 | 吉林省烟草公司白城市公司 | Central heating tobacco baking system using heat transfer oil as heat carrier |
| CN102035876A (en) * | 2010-10-15 | 2011-04-27 | 江苏鸿信系统集成有限公司 | Remote monitoring and intelligent control system and method of agricultural greenhouse based on M2M framework |
| CN102499429A (en) * | 2011-12-13 | 2012-06-20 | 卧龙电气集团股份有限公司 | Real-time clock judgment device and method for bulk curing barn controller |
| CN102885392A (en) * | 2012-09-11 | 2013-01-23 | 张家口卷烟厂有限责任公司 | Quality monitoring system and method of tobacco primary process |
| CN102999071A (en) * | 2012-11-16 | 2013-03-27 | 宁海县供电局 | Switch cabinet environment intelligent monitoring and processing system based on wireless network |
| CN103856491A (en) * | 2012-11-28 | 2014-06-11 | 上海贝尔软件有限公司 | Method for making decisions in server and method for obtaining decisions in device |
| CN203302065U (en) * | 2013-05-20 | 2013-11-27 | 扬州大学 | High-grade flower intelligent greenhouse system based on wireless network |
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Application publication date: 20161221 |