CN110674186A - Plant factory data processing method - Google Patents
Plant factory data processing method Download PDFInfo
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- CN110674186A CN110674186A CN201910884606.9A CN201910884606A CN110674186A CN 110674186 A CN110674186 A CN 110674186A CN 201910884606 A CN201910884606 A CN 201910884606A CN 110674186 A CN110674186 A CN 110674186A
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- 238000003672 processing method Methods 0.000 title claims abstract description 14
- 239000002689 soil Substances 0.000 claims abstract description 44
- 238000005286 illumination Methods 0.000 claims abstract description 23
- 238000012545 processing Methods 0.000 claims abstract description 8
- 238000010835 comparative analysis Methods 0.000 claims abstract description 7
- 238000000034 method Methods 0.000 claims abstract description 7
- 238000012544 monitoring process Methods 0.000 claims description 12
- 239000000575 pesticide Substances 0.000 claims description 9
- 239000007921 spray Substances 0.000 claims description 9
- 230000002159 abnormal effect Effects 0.000 claims description 8
- 238000004891 communication Methods 0.000 claims description 6
- 238000010248 power generation Methods 0.000 claims description 6
- 125000003003 spiro group Chemical group 0.000 claims description 3
- 230000012010 growth Effects 0.000 abstract description 13
- 230000000694 effects Effects 0.000 abstract description 3
- 230000008635 plant growth Effects 0.000 abstract description 2
- 238000004458 analytical method Methods 0.000 abstract 2
- 238000010224 classification analysis Methods 0.000 abstract 1
- 229910002092 carbon dioxide Inorganic materials 0.000 description 11
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 4
- 235000013311 vegetables Nutrition 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 235000015097 nutrients Nutrition 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 239000001569 carbon dioxide Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000012271 agricultural production Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010924 continuous production Methods 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000003306 harvesting Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008636 plant growth process Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
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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
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G9/00—Cultivation in receptacles, forcing-frames or greenhouses; Edging for beds, lawn or the like
- A01G9/14—Greenhouses
- A01G9/143—Equipment for handling produce in greenhouses
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G9/00—Cultivation in receptacles, forcing-frames or greenhouses; Edging for beds, lawn or the like
- A01G9/24—Devices or systems for heating, ventilating, regulating temperature, illuminating, or watering, in greenhouses, forcing-frames, or the like
-
- 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
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
-
- 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
-
- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
- Y02A40/25—Greenhouse technology, e.g. cooling systems therefor
Abstract
The invention discloses a plant factory data processing method in the technical field of data processing, which comprises the steps of data acquisition, data classification, contrastive analysis and state judgment, wherein a soil pH value sensor, a soil humidity sensor, a temperature sensor, an air humidity sensor, an illumination intensity sensor and CO are firstly used2The concentration sensor respectively collects the pH value of soil, the soil moisture meter, the air temperature, the air humidity, the illumination intensity and the CO2The concentration data is subjected to data classification and comparative analysis, and the growth state of the plant is judged according to the data; the invention provides a method for controlling the growth of plants by comparing various data in the growth process of the plantsThe collection analysis contrast of (2) judge the growth state of plant to realized improving the technological effect of the throughput of vegetation data, can be simultaneously according to the concrete real-time condition in the plant factory, can be timely through artificial mode adjust the intervention at any time, make the growing environment in the plant factory reach the best growing environment of plant.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a plant factory data processing method.
Background
The plant factory is a high-level stage of modern facility agriculture development, is a production system with high investment, high technology and fine equipment, integrates biotechnology, engineering technology and system management, and enables agricultural production to be separated from natural ecological constraints. The plant factory is a high-efficiency agricultural system for realizing annual continuous production of crops by controlling high-precision environment in facilities, and utilizes an intelligent computer and an electronic sensing system to control the temperature, humidity, illumination and CO of plant growth2The concentration, nutrient solution and other environmental conditions are automatically controlled, so that the growth and development of plants in the facility are not or rarely restricted by natural conditions. Common features of plant factories are: fixed facilities are provided; the temperature, humidity, illumination intensity, illumination time and CO required by the growth and development of plants can be automatically and semi-automatically carried out by utilizing a computer and various sensing devices2The concentration is automatically regulated and controlled; adopting nutrient solution cultivation technology; the quantity and quality of the product are greatly improved.
For example, patent N201621140342.4 discloses a climate data collection system for plant factory, which includes a light intensity sensor for detecting the light intensity in the plant factory, a humidity sensor for detecting humidity, a temperature sensor for detecting temperature, a carbon dioxide concentration sensor for detecting the concentration of carbon dioxide, a liquid concentration sensor for detecting the concentration of nutrient solution, an a/D conversion module, a processor, and a control center. Can carry out the control constantly to the growing environment's of plant factory parameter, know whether satisfy optimal growing environment, can change the growing environment of the vegetables in the box at any time according to the condition of environment in the box simultaneously, make the growing environment in the box reach the best growing environment of vegetables, provide the cycle of vegetables, provide convenient green vegetables for people. The device does not provide a method of data processing at the time of data acquisition. Based on the above, the invention designs a plant factory data processing method to solve the above problems.
Disclosure of Invention
The present invention is directed to a plant factory data processing method to solve the above problems.
In order to achieve the purpose, the invention provides the following technical scheme: a plant factory data processing method comprises data acquisition, data classification, comparative analysis and state judgment, and specifically comprises the following steps:
first, data acquisition
A soil pH value sensor, a soil humidity sensor, a temperature sensor, an air humidity sensor, an illumination intensity sensor and CO are respectively arranged in a plant factory2A concentration sensor, a soil pH value sensor and a soil humidity sensor randomly distributed in the soil around the plant, a temperature sensor, an air humidity sensor, an illumination sensor and CO2The concentration sensor is arranged at the top of the greenhouse of the plant factory at equal intervals, and is used for measuring the pH value of soil, the soil humidity, the temperature, the air humidity, the illumination intensity and the CO2The concentration sensor respectively collects the pH value of soil, the soil moisture meter, the air temperature, the air humidity, the illumination intensity and the CO2Concentration data;
second, data classification
Comprehensively transmitting the data acquired in the first step to a processor, classifying the signals in the processor, dividing the signals according to different classes of the data and different vertical ranges of the same class, and storing the classified data according to classification conditions;
third, comparative analysis
In the second step, a numerical range is pre-stored in the processor, the data of different types and different numerical ranges of the same type obtained by classification are compared with the numerical range pre-stored in the processor, the data corresponding to the numerical range are divided, and the data beyond the range are removed;
the fourth step, judging the state
Judging whether plants around the over-range data are in an abnormal state according to the over-range data removed in the third step, processing the plants in the abnormal state by adopting a manual regulation method, finding the plants in a corresponding area by entering a plant factory through workers, and making a solution after the corresponding plants are inspected on the spot;
and sending the plant information in the normal state to the server and storing the plant information again according to the fact that the plant in the value range stored in advance in the third step is in the normal state.
Preferably, the signal output end of the processor is electrically connected with the signal input end of the server, the signal output end of the server is electrically connected with the remote wireless communication module, and the signal output end of the remote wireless communication module is electrically connected with the client.
Preferably, the client comprises a monitoring module, a voice playing module and a video call module, the monitoring module comprises a monitoring camera, the voice playing module comprises a player, and the monitoring camera and the player are both installed in a plant factory.
Preferably, the signal output part of treater has pesticide sprinkler through controller electric connection, pesticide sprinkler is located plant factory's inner wall top, pesticide sprinkler includes spray tank, outlet pipe and solenoid valve, spray tank passes through the top spiro union of support and plant factory, four sides and the bottom of spray tank all evenly run through the grafting and have the outlet pipe, be equipped with the solenoid valve on the outlet pipe, the solenoid valve passes through controller electric connection.
Preferably, the power signal input end of the processor is electrically connected with a solar power generation device, and a solar panel of the solar power generation device is positioned on the roof of a plant factory.
Preferably, the signal input end of the server is electrically connected with a control terminal.
Compared with the prior art, the invention has the beneficial effects that: the invention judges the growth state of the plant by collecting, analyzing and comparing various data in the plant growth process, thereby realizing the technical effect of improving the processing capacity of the plant growth data, and simultaneously, the invention can carry out adjustment and intervention in time in an artificial mode at any time according to the specific real-time condition in the plant factory, so that the growth environment in the plant factory reaches the optimal growth environment of the plant, the management is convenient, the growth condition of the plant is checked in time through the client, the harvesting is convenient in time, and the economic benefit is increased.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of the present invention.
Fig. 2 is a block diagram of the electrical connections of the present invention.
FIG. 3 is a diagram illustrating a client according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, the present invention provides a technical solution: a plant factory data processing method comprises data acquisition, data classification, comparative analysis and state judgment, and specifically comprises the following steps:
first, data acquisition
A soil pH value sensor, a soil humidity sensor, a temperature sensor, an air humidity sensor, an illumination intensity sensor and CO are respectively arranged in a plant factory2The concentration sensor, the soil pH value sensor and the soil humidity sensor are randomly distributed in the soil around the plant, and the temperature sensor, the air humidity sensor, the illumination sensor and the CO sensor2The concentration sensors are arranged on the top of the greenhouse of the plant factory at equal intervals and are connected with the soil humidity sensor, the soil pH sensor, the temperature sensor, the air humidity sensor, the illumination intensity sensor and the CO2The concentration sensor respectively collects the pH value of soil, the soil moisture meter, the air temperature, the air humidity, the illumination intensity and the CO2Concentration data;
second, data classification
Comprehensively transmitting the data acquired in the first step to a processor, classifying the signals in the processor, dividing the signals according to different classes of the data and different vertical ranges of the same class, and storing the classified data according to classification conditions;
third, comparative analysis
Pre-storing a numerical range in the processor in the second step, comparing the data of different types and different numerical ranges of the same type obtained by classification with the numerical range pre-stored in the processor, dividing the data corresponding to the numerical range, and removing the data beyond the range;
the fourth step, judging the state
Judging whether plants around the over-range data are in an abnormal state according to the over-range data removed in the third step, processing the plants in the abnormal state by adopting a manual regulation method, finding the plants in a corresponding area by entering a plant factory through workers, and making a solution after the corresponding plants are inspected on the spot;
and sending the plant information in the normal state to the server and storing the plant information again according to the fact that the plant in the value range stored in advance in the third step is in the normal state.
The signal output end of the processor is electrically connected with the signal input end of the server, the signal output end of the server is electrically connected with the remote wireless communication module, and the signal output end of the remote wireless communication module is electrically connected with the client.
The client comprises a monitoring module, a voice playing module and a video call module, the monitoring module comprises a monitoring camera, the voice playing module comprises a player, and the monitoring camera and the player are both installed in a plant factory.
The signal output part of treater has pesticide sprinkler through controller electric connection, and pesticide sprinkler is located plant factory's inner wall top, and pesticide sprinkler includes spray tank, outlet pipe and solenoid valve, and spray tank passes through the top spiro union of support and plant factory, and four sides and the bottom of spray tank all evenly run through the grafting and have the outlet pipe, are equipped with the solenoid valve on the outlet pipe, and the solenoid valve passes through controller electric connection.
The power signal input end of the processor is electrically connected with a solar power generation device, and a solar panel of the solar power generation device is positioned on the roof of a plant factory.
The signal input end of the server is electrically connected with a control terminal.
One specific application of this embodiment is: a soil pH value sensor, a soil humidity sensor, a temperature sensor, an air humidity sensor, an illumination intensity sensor and CO are respectively arranged in a plant factory2The concentration sensor, the soil pH value sensor and the soil humidity sensor are randomly distributed in the soil around the plant, and the temperature sensor, the air humidity sensor, the illumination sensor and the CO sensor2The concentration sensors are arranged on the top of the greenhouse of the plant factory at equal intervals and are connected with the soil humidity sensor, the soil pH sensor, the temperature sensor, the air humidity sensor, the illumination intensity sensor and the CO2The concentration sensor respectively collects the pH value of soil, the soil moisture meter, the air temperature, the air humidity, the illumination intensity and the CO2Concentration data; comprehensively transmitting the collected data to a processor, classifying the signals in the processor, and dividing the signals according to different classes of the data and different vertical ranges of the same classStoring the classified data according to the classification condition; pre-storing a numerical range in a processor, comparing the data of different types and the data of the same type and different numerical ranges obtained by classification with the numerical range pre-stored in the processor, dividing the data corresponding to the numerical range, and rejecting out-of-range data; judging whether plants around the over-range data are in an abnormal state according to the removed over-range data, processing the plants in the abnormal state by adopting a manual regulation method, finding the plants in a corresponding area by entering a plant factory through workers, and making a solution after the corresponding plants are inspected on the spot; and sending the plant information in the normal state to the server and storing the plant information again according to the plant in the pre-stored numerical range as the normal state.
Through a soil pH value sensor, a soil humidity sensor, a temperature sensor, an air humidity sensor, an illumination intensity sensor and CO2The concentration sensor respectively collects the pH value of soil, the soil moisture meter, the air temperature, the air humidity, the illumination intensity and the CO2Concentration data judges the growth state of plant to the technological effect of the throughput of improvement vegetation data has been realized, can be simultaneously according to the concrete real-time condition in the plant factory, can in time adjust the intervention through artificial mode at any time, make the growth environment in the plant factory reach the best growth environment of plant, the management of being convenient for in time look over the growth condition of plant through the customer end, be convenient for in time gather, increase economic benefits.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (6)
1. A plant factory data processing method comprises data acquisition, data classification, comparative analysis and state judgment, and is characterized by comprising the following specific steps:
first, data acquisition
A soil pH value sensor, a soil humidity sensor, a temperature sensor, an air humidity sensor, an illumination intensity sensor and CO are respectively arranged in a plant factory2A concentration sensor, a soil pH value sensor and a soil humidity sensor randomly distributed in the soil around the plant, a temperature sensor, an air humidity sensor, an illumination sensor and CO2The concentration sensor is arranged at the top of the greenhouse of the plant factory at equal intervals, and is used for measuring the pH value of soil, the soil humidity, the temperature, the air humidity, the illumination intensity and the CO2The concentration sensor respectively collects the pH value of soil, the soil moisture meter, the air temperature, the air humidity, the illumination intensity and the CO2Concentration data;
second, data classification
Comprehensively transmitting the data acquired in the first step to a processor, classifying the signals in the processor, dividing the signals according to different classes of the data and different vertical ranges of the same class, and storing the classified data according to classification conditions;
third, comparative analysis
In the second step, a numerical range is pre-stored in the processor, the data of different types and different numerical ranges of the same type obtained by classification are compared with the numerical range pre-stored in the processor, the data corresponding to the numerical range are divided, and the data beyond the range are removed;
the fourth step, judging the state
Judging whether plants around the over-range data are in an abnormal state according to the over-range data removed in the third step, processing the plants in the abnormal state by adopting a manual regulation method, finding the plants in a corresponding area by entering a plant factory through workers, and making a solution after the corresponding plants are inspected on the spot;
and sending the plant information in the normal state to the server and storing the plant information again according to the fact that the plant in the value range stored in advance in the third step is in the normal state.
2. A plant factory data processing method according to claim 1, wherein: the signal output end of the processor is electrically connected with the signal input end of the server, the signal output end of the server is electrically connected with the remote wireless communication module, and the signal output end of the remote wireless communication module is electrically connected with the client.
3. A plant factory data processing method according to claim 2, wherein: the client comprises a monitoring module, a voice playing module and a video call module, the monitoring module comprises a monitoring camera, the voice playing module comprises a player, and the monitoring camera and the player are both installed in a plant factory.
4. A plant factory data processing method according to claim 2, wherein: the signal output part of treater has pesticide sprinkler through controller electric connection, pesticide sprinkler is located plant factory's inner wall top, pesticide sprinkler includes spray tank, outlet pipe and solenoid valve, spray tank passes through the top spiro union of support and plant factory, four sides and the bottom of spray tank all evenly run through the grafting and have the outlet pipe, be equipped with the solenoid valve on the outlet pipe, the solenoid valve passes through controller electric connection.
5. A plant factory data processing method according to claim 2, wherein: the power signal input end of the processor is electrically connected with a solar power generation device, and a solar panel of the solar power generation device is positioned on the roof of a plant factory.
6. A plant factory data processing method according to claim 2, wherein: and the signal input end of the server is electrically connected with a control terminal.
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| CN201910884606.9A CN110674186A (en) | 2019-09-19 | 2019-09-19 | Plant factory data processing method |
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| CN201910884606.9A CN110674186A (en) | 2019-09-19 | 2019-09-19 | Plant factory data processing method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111665888A (en) * | 2020-07-21 | 2020-09-15 | 佛山双誉信息技术服务有限公司 | Garden planting plant physiological state monitoring system and method |
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