CN106874496A - A kind of tissue culture culture medium Nutrition monitoring method based on big data analysis - Google Patents
A kind of tissue culture culture medium Nutrition monitoring method based on big data analysis Download PDFInfo
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- CN106874496A CN106874496A CN201710100000.2A CN201710100000A CN106874496A CN 106874496 A CN106874496 A CN 106874496A CN 201710100000 A CN201710100000 A CN 201710100000A CN 106874496 A CN106874496 A CN 106874496A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
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Abstract
The present invention provides a kind of tissue culture culture medium Nutrition monitoring method based on big data analysis, the actual constituent in culture medium is conversed with reference to biochemical information, utilization network big data analytical calculation further according to the species information to tissue culture plant and growth conditions goes out standard medium component Changing Pattern, finally actual constituent and standard analysis are compared, when there is relatively large deviation in comparison result, analysis judges whether culture medium needs to change, and prompting is sent, reminding technology personnel change culture medium；Tissue culture standard is updated using the analysis of internet big data, the dependence to technical staff is reduced, the information-based, requirement of agricultural modernization is reached, and plays a part of to reduce planting cost.
Description
Technical field
The invention belongs to information-based technical field of tissue culture, more particularly to a kind of tissue culture culture based on big data analysis
Base Nutrition monitoring method.
Background technology
Plant Tissue Breeding（Broad sense）Cultured in vitro is called, refers to the tissue, organ, thin isolated from plant and suited the requirements
Born of the same parents or protoplast etc., by sterile working, are cultivated the whole plant to obtain regeneration or life under manual control condition
Produce the technology of other products with economic worth.Plant Tissue Breeding（Narrow sense）Finger plant parts tissue, such as forming layer,
Parenchymal tissue, mesophyll tissue, endosperm etc. carry out culture and obtain regeneration plant, also refer to be produced from each organ in incubation and heal
The culture of injured tissue, callus again by being differentiated to form aftergrowth again.Plant is multiplied by tissue culture technique
Rapid multiplying can be reached and the purpose of maternal plant merit is kept, while tissue culture technique is not limited by regions,
Through being widely used in the rapid multiplying of rare plant, rareness species protection and making among rare botanical derivative.
Whether produce or scientific research, particularly factorial praluction, tissue cultures are belonging to extensive intensive work, together
When per batch of tissue culture plant be required for by multiple propagation, change culture medium, absorption and consumption of the different cultivars to nutrition
It is different, cause the cycle of replacing culture medium required for each kind inconsistent.Even same kind, different plants are individual
Between there is also different nutrient absorption situations, so as to possess the different culture medium replacement cycles between producing plant.But at present
Tissue cultures due to lacking the detection method to medium nutrient content, so be all integrally fixed at a unified time to plant
Strain carries out culture medium replacing, and this way causes part to consume larger plant to face malnourished environment, at the same consumption compared with
Slow plant can then cause to waste.The universal price of constituent part in culture medium, especially bio-hormone is higher, wastes culture
Base substantially increases the cost of tissue cultures.
The content of the invention
Above mentioned problem is had based on prior art, the present invention provides a kind of tissue culture culture medium nutrition based on big data analysis
Detection method, the actual constituent in culture medium is conversed with reference to biochemical information, further according to the species information to tissue culture plant
And the utilization network big data analytical calculation of growth conditions goes out standard medium component Changing Pattern, finally by actual constituent and mark
Quasi- composition is compared, and when relatively large deviation occurs in comparison result, analysis judges whether culture medium needs to change, and sends
Remind, reminding technology personnel change culture medium；Tissue culture standard is updated using the analysis of internet big data, is reduced to technical staff's
Rely on, reach the information-based, requirement of agricultural modernization, and play a part of to reduce planting cost.
A kind of tissue culture culture medium Nutrition monitoring method based on big data analysis, it is comprised the following steps：
Step S10 primary datas typing and detection：Ion detection module detects the ion concentration of tissue culture culture medium by sensor,
It is initial concentration by ion concentration data definition；
Step S20 trophic analysis：Living species analysis module calls the data in tissue cultures management module, according to the tissue culture stage
With the current plant species of data analysis in floristics combination database in the corresponding tissue culture stage to medium nutrient content
Influence；
Step S30 detects ion real-time concentration：Ion detection module persistently detects that the ion of tissue culture culture medium is dense by sensor
Degree, is defined as real-time ion concentration；
Step S40 culture medium nutrition changes trend is calculated：Trophic analysis module calls culture medium prescription ion concentration data, according to
The Analysis result calculation real-time criteria ion concentration of step S20；
Step S50 ion components are compared：Central processing unit divides according to the real-time ion concentration for drawing step S30 with step S40
The real-time criteria ion concentration that analysis draws is compared, and replacing culture medium is sent when comparison result is inconsistent and is reminded；
Step S60 nutritional ingredients are monitored：The real-time ion concentration that central processing unit monitoring step S30 draws, when real-time ion is dense
Replacing nutrient solution is sent when degree is less than the alarm value for setting to remind；
Step S70 local data bases are safeguarded and updated：Central processing unit acquisition system service data and analyze data combination internet
In the data nutrition alarm value that carries out in big data analysis, and timing updating maintenance local data base information and local data.
Wherein, described step S10 also includes step S11, initial concentration is compared with standard recipe concentration, when dense
Degree sends culture medium error and reminds when inconsistent with normal concentration.
Wherein, described step S10 or step S30 include step S12 and step S31 respectively, carry out grab sample number
Credit is analysed, and stochastical sampling point, control sampling point sensor collection ion concentration are calculated according to Statistics.
Wherein, the database in described step S20 includes the local data base and the storage that are stored in locally-stored module
Network data base in server.
Wherein, described step S20 includes that step S21 analyzes plant species to medium nutrient content inhalation effects, step
Influence of the metabolic waste that rapid S22 analyses plant species are discharged to culture medium to medium nutrient content.
Wherein, the inconsistent real-time ion concentration and step drawn including S30 of comparison result in described step S50
The real-time criteria ion concentration deviation that S40 analyses draw is more than the real-time ionic species and step S40 that 10%-30% and S30 draw
The real-time criteria ionic species that analysis draws is inconsistent.
Specific embodiment
With reference to specific embodiment, the invention will be further described.
A kind of tissue culture culture medium Nutrition monitoring method based on big data analysis, it is comprised the following steps：
Step S10 primary datas typing and detection：Ion detection module detects the ion concentration of tissue culture culture medium by sensor,
It is initial concentration by ion concentration data definition；
Step S20 trophic analysis：Living species analysis module calls the data in tissue cultures management module, according to the tissue culture stage
With the current plant species of data analysis in floristics combination database in the corresponding tissue culture stage to medium nutrient content
Influence；
Step S30 detects ion real-time concentration：Ion detection module persistently detects that the ion of tissue culture culture medium is dense by sensor
Degree, is defined as real-time ion concentration；
Step S40 culture medium nutrition changes trend is calculated：Trophic analysis module calls culture medium prescription ion concentration data, according to
The Analysis result calculation real-time criteria ion concentration of step S20；
Step S50 ion components are compared：Central processing unit divides according to the real-time ion concentration for drawing step S30 with step S40
The real-time criteria ion concentration that analysis draws is compared, and replacing culture medium is sent when comparison result is inconsistent and is reminded；
Step S60 nutritional ingredients are monitored：The real-time ion concentration that central processing unit monitoring step S30 draws, when real-time ion is dense
Replacing nutrient solution is sent when degree is less than the alarm value for setting to remind；
Step S70 local data bases are safeguarded and updated：Central processing unit acquisition system service data and analyze data combination internet
In the data nutrition alarm value that carries out in big data analysis, and timing updating maintenance local data base information and local data.
As the presently preferred embodiments, described step S10 also includes step S11, and initial concentration is entered with standard recipe concentration
Row is compared, and culture medium error is sent when concentration and normal concentration are inconsistent and is reminded.
As the presently preferred embodiments, described step S10 or step S30 include step S12 and step S31 respectively, carry out
Grab sample mathematical analysis, stochastical sampling point, control sampling point sensor collection ion concentration are calculated according to Statistics.
As the presently preferred embodiments, the database in described step S20 includes the local number stored in locally-stored module
According to storehouse and the network data base being stored in server.
As the presently preferred embodiments, described step S20 includes that step S21 analyzes plant species and medium nutrient content is inhaled
Receive influence, influence of the metabolic waste that step S22 analysis plant species are discharged to culture medium to medium nutrient content.
As the presently preferred embodiments, the inconsistent real-time ion drawn including S30 of comparison result in described step S50 is dense
Degree is with the step S40 real-time criteria ion concentration deviations that draw of analysis more than 20% and the real-time ionic species that draws of S30 and step
The real-time criteria ionic species that S40 analyses draw is inconsistent.
Embodiment described above only expresses one embodiment of the present invention, and its description is more specific and detailed, but simultaneously
Therefore the limitation to the scope of the claims of the present invention can not be interpreted as.It should be pointed out that for one of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the invention
Shield scope.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (6)
1. it is a kind of based on big data analysis tissue culture culture medium Nutrition monitoring method, it is characterised in that it is comprised the following steps：
Step S10 primary datas typing and detection：Ion detection module detects the ion concentration of tissue culture culture medium by sensor,
It is initial concentration by ion concentration data definition；
Step S20 trophic analysis：Living species analysis module calls the data in tissue cultures management module, according to the tissue culture stage
With the current plant species of data analysis in floristics combination database in the corresponding tissue culture stage to medium nutrient content
Influence；
Step S30 detects ion real-time concentration：Ion detection module persistently detects that the ion of tissue culture culture medium is dense by sensor
Degree, is defined as real-time ion concentration；
Step S40 culture medium nutrition changes trend is calculated：Trophic analysis module calls culture medium prescription ion concentration data, according to
The Analysis result calculation real-time criteria ion concentration of step S20；
Step S50 ion components are compared：Central processing unit divides according to the real-time ion concentration for drawing step S30 with step S40
The real-time criteria ion concentration that analysis draws is compared, and replacing culture medium is sent when comparison result is inconsistent and is reminded；
Step S60 nutritional ingredients are monitored：The real-time ion concentration that central processing unit monitoring step S30 draws, when real-time ion is dense
Replacing nutrient solution is sent when degree is less than the alarm value for setting to remind；
Step S70 local data bases are safeguarded and updated：Central processing unit acquisition system service data and analyze data combination internet
In the data nutrition alarm value that carries out in big data analysis, and timing updating maintenance local data base information and local data.
2. tissue culture culture medium Nutrition monitoring method according to claim 1, it is characterised in that described step S10 is also wrapped
Step S11 is included, initial concentration is compared with standard recipe concentration, culture medium is sent when concentration and normal concentration are inconsistent
Error is reminded.
3. tissue culture culture medium Nutrition monitoring method according to claim 1, it is characterised in that described step S10 or
Step S30 includes step S12 and step S31 respectively, carries out grab sample mathematical analysis, is calculated according to Statistics and adopted at random
Sampling point, control sampling point sensor collection ion concentration.
4. tissue culture culture medium Nutrition monitoring method according to claim 1, it is characterised in that in described step S20
Database includes the local data base for storing and the network data base being stored in server in locally-stored module.
5. tissue culture culture medium Nutrition monitoring method according to claim 1, it is characterised in that described step S20 includes
Step S21 analyzes plant species to medium nutrient content inhalation effects, and step S22 analysis plant species are discharged to culture medium
Influence of the metabolic waste to medium nutrient content.
6. tissue culture culture medium Nutrition monitoring method according to claim 1, it is characterised in that in described step S50
The inconsistent real-time ion concentration drawn including S30 of comparison result is inclined with the real-time criteria ion concentration that step S40 analyses draw
Difference differs more than the real-time criteria ionic species that the real-time ionic species that 10%-30% and S30 draw draws with step S40 analyses
Cause.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106814668A (en) * | 2017-02-23 | 2017-06-09 | 佛山市融信通企业咨询服务有限公司 | A kind of intelligent water culture ambient parameter detection method |
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