CN106172942A - Monitoring specialist system baked and banked up with earth by a kind of Folium Camelliae sinensis - Google Patents
Monitoring specialist system baked and banked up with earth by a kind of Folium Camelliae sinensis Download PDFInfo
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- CN106172942A CN106172942A CN201610793229.4A CN201610793229A CN106172942A CN 106172942 A CN106172942 A CN 106172942A CN 201610793229 A CN201610793229 A CN 201610793229A CN 106172942 A CN106172942 A CN 106172942A
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- specialist system
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- A—HUMAN NECESSITIES
- A23—FOODS OR FOODSTUFFS; TREATMENT THEREOF, NOT COVERED BY OTHER CLASSES
- A23F—COFFEE; TEA; THEIR SUBSTITUTES; MANUFACTURE, PREPARATION, OR INFUSION THEREOF
- A23F3/00—Tea; Tea substitutes; Preparations thereof
- A23F3/06—Treating tea before extraction; Preparations produced thereby
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- Chemical & Material Sciences (AREA)
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Abstract
The invention provides a kind of Folium Camelliae sinensis and bake and bank up with earth 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, smell sensor respectively and collects the data of temperature sensor, humidity sensor, 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 Folium Camelliae sinensis and bake and bank up with earth monitoring specialist system.
Background technology
As the Chinese invention patent of Application No. CN201110035379.6 discloses a kind of numerical-control tea leaf curer, but should
Tea baking machine only controls, it is impossible to realize monitoring.
And for now, development based on sensor technology, Folium Camelliae sinensis is baked and banked up with earth, user can observe multiple parameters voluntarily
With auxiliary judgment situation, but in practical operation, this needs user to have enough understandings to parameter, so that operation threshold
Height, and in reality, the most schooling using this technology is relatively low, learning capacity is poor, the most only scientific research personnel and pole
People eager to learn can learn to study numerous parameter carefully minority very well, and this makes to optimize by the way of Folium Camelliae sinensis bakes and banks up with earth by interpretation multiple parameters
It is difficult to actually carry out.
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 Folium Camelliae sinensis and bake and bank up with earth monitoring specialist system, prison baked and banked up with earth by this Folium Camelliae sinensis
Control specialist system randomly selects the set-up mode of specialist system by subscriber's main station, can make user's in use system certainly
Row is judged most suitable data model and is suitable for, thus solves the problem that above-mentioned workload is excessive.
The present invention is achieved by the following technical programs.
The present invention provide a kind of Folium Camelliae sinensis bake and bank up with earth monitoring specialist system, including be made up of multiple subscriber's main stations user group and
The expert group of multiple specialist systems composition；Each specialist system is set up by server authentication；Each subscriber's main station connects respectively
Jointing temp sensor, humidity sensor, smell sensor also collect the number of temperature sensor, humidity sensor, smell sensor
According to；Described subscriber's main station randomly selects specialist system and sends temperature sensor, humidity sensor, the data of smell sensor and obtain
Take the end value of correspondence, be then displayed to user, and adjust the evaluation to selected specialist system according to user feedback result
Value, when evaluation of estimate is less than reservation threshold, this specialist system is no longer present in choosing in list；Described specialist system is according to user
The data that main frame sends, are evaluated by evaluating data model, and evaluation result feeds 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 reducing motor control, electric heating tube controls, centrifugal blower controls, nebulizer control
System, subscriber's main station according to the end value received to reducing motor control, electric heating tube control, centrifugal blower control, nebulizer
Control to be controlled adjusting；Subscriber's main station does not adjusts evaluation of estimate according to user feedback result, but according to contrast current results value
It is calculated Evaluation: Current value with a front end value.
Described end value includes total judgment value and temperature sensor, humidity sensor, smell sensor data respective value, right
The difference of the actual value that the optimal value calculated according to evaluating data model for specialist system obtains with subscriber's main station should be worth, evaluate
Being calculated as of value 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；
10-user's group, 101-subscriber's main station, 102-temperature sensor, 103-humidity sensor, 104-smell sensor,
111-reducing motor controls, and 112-electric heating tube controls, and 113-centrifugal blower controls, and 114-nebulizer controls, 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.
Monitoring specialist system baked and banked up with earth by a kind of Folium Camelliae sinensis as shown in Figure 1, including the user's group being made up of multiple subscriber's main stations 101
10 and multiple specialist system 201 composition expert group 20；Each specialist system 201 is set up by server authentication；Each user
Main frame 101 connects temperature sensor 102, humidity sensor 103, smell sensor 104 respectively and collects temperature sensor
102, humidity sensor 103, the data of smell sensor 104；Described subscriber's main station 101 randomly selects specialist system 201 and sends
Temperature sensor 102, humidity sensor 103, the data of smell sensor 104 also obtain corresponding end value, are then displayed to
User, and adjust the evaluation of estimate to selected specialist system 201 according to user feedback result, when evaluation of estimate is less than reservation threshold
Time, this specialist system 201 is no longer present in choosing in list；The number that described specialist system 201 sends according to subscriber's main station 101
According to, it is evaluated by evaluating data model, 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 to pass according to each sensor temperature sensor 102, humidity sensor 103, abnormal smells from the patient
The historical data of sensor 104 uses supervised learning algorithm to be calculated, and the end value in supervised learning is by being artificially given.
Using threshold, further automatization for reducing user further, described subscriber's main station 101 is also associated with the electricity that slows down
Machine control 111, electric heating tube control 112, centrifugal blower control 113, nebulizer control 114, and subscriber's main station 101 is according to receiving
End value reducing motor is controlled 111, electric heating tube controls 112, centrifugal blower controls 113, nebulizer controls 114 to control
System adjusts；Subscriber's main station 101 not according to user feedback result adjust evaluation of estimate, but according to contrast current results value and front once
End value and be calculated Evaluation: Current value.
Specifically, described end value includes total judgment value and temperature sensor 102, humidity sensor 103, odor sensing
Device 104 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 differences of actual values obtained, being calculated as of evaluation of estimate calculates above-mentioned total judgment value and the overall average of difference.
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. a monitoring specialist system baked and banked up with earth by Folium Camelliae sinensis, including the user's group (10) being made up of multiple subscriber's main stations (101) and multiple
The expert group (20) that specialist system (201) forms, it is characterised in that: each specialist system (201) is set up by server authentication；
Each subscriber's main station (101) connect respectively temperature sensor (102), humidity sensor (103), smell sensor (104) and
Collect temperature sensor (102), humidity sensor (103), the data of smell sensor (104)；Described subscriber's main station (101) with
Machine is chosen specialist system (201) and is sent temperature sensor (102), humidity sensor (103), the data of smell sensor (104)
And obtain corresponding end value, it is then displayed to user, and adjusts selected specialist system according to user feedback result
(201) evaluation of estimate, when evaluation of estimate is less than reservation threshold, this specialist system (201) is no longer present in choosing in list；Described
The data that specialist system (201) sends according to subscriber's main station (101), are evaluated by evaluating data model, and evaluation are tied
Fruit feeds back to the subscriber's main station (101) of correspondence.
2. monitoring specialist system baked and banked up with earth by Folium Camelliae sinensis as claimed in claim 1, it is characterised in that: described subscriber's main station (101) also will
Evaluation of estimate sends to corresponding specialist system (201), and described specialist system (201) is also associated with data model libraries (202), data
Model library (202) storage evaluating data model, specialist system (201) 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 labelling on any evaluating data model
When evaluation of estimate is less than reservation threshold, data model libraries (202) deletes this evaluating data model.
3. monitoring specialist system baked and banked up with earth by Folium Camelliae sinensis as claimed in claim 1, it is characterised in that: described subscriber's main station (101) also connects
Be connected to reducing motor control (111), electric heating tube controls (112), centrifugal blower controls (113), nebulizer controls (114), uses
Householder's machine (101) controls (112), centrifugal blower control according to the end value received to reducing motor control (111), electric heating tube
System (113), nebulizer control (114) and are controlled adjusting；Subscriber's main station (101) does not adjust according to user feedback result and evaluates
Value, but it is calculated Evaluation: Current value according to contrast current results value and a front end value.
4. monitoring specialist system baked and banked up with earth by Folium Camelliae sinensis as claimed in claim 3, it is characterised in that: described end value includes total judgment value
With temperature sensor (102), humidity sensor (103), smell sensor (104) data respective value, respective value is specialist system
(201) difference of the actual value that the optimal value calculated according to evaluating data model and subscriber's main station (101) obtain, evaluation of estimate
It is calculated as calculating above-mentioned total judgment value and the overall average of difference.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610793229.4A CN106172942A (en) | 2016-08-31 | 2016-08-31 | Monitoring specialist system baked and banked up with earth by a kind of Folium Camelliae sinensis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610793229.4A CN106172942A (en) | 2016-08-31 | 2016-08-31 | Monitoring specialist system baked and banked up with earth by a kind of Folium Camelliae sinensis |
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| Publication Number | Publication Date |
|---|---|
| CN106172942A true CN106172942A (en) | 2016-12-07 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610793229.4A Pending CN106172942A (en) | 2016-08-31 | 2016-08-31 | Monitoring specialist system baked and banked up with earth by a kind of Folium Camelliae sinensis |
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| CN (1) | CN106172942A (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN105786064A (en) * | 2016-05-16 | 2016-07-20 | 贵州大学 | Tea fixation automatic control device and fixation method |
-
2016
- 2016-08-31 CN CN201610793229.4A patent/CN106172942A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN105786064A (en) * | 2016-05-16 | 2016-07-20 | 贵州大学 | Tea fixation automatic control device and fixation method |
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Application publication date: 20161207 |