CN111109350A - Intelligent fruit ripening accelerating method and system - Google Patents
Intelligent fruit ripening accelerating method and system Download PDFInfo
- Publication number
- CN111109350A CN111109350A CN201811297313.2A CN201811297313A CN111109350A CN 111109350 A CN111109350 A CN 111109350A CN 201811297313 A CN201811297313 A CN 201811297313A CN 111109350 A CN111109350 A CN 111109350A
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- fruit
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- 238000000034 method Methods 0.000 title claims abstract description 37
- 230000004345 fruit ripening Effects 0.000 title claims abstract description 24
- 230000005070 ripening Effects 0.000 claims abstract description 112
- 235000013399 edible fruits Nutrition 0.000 claims abstract description 56
- 230000008569 process Effects 0.000 claims abstract description 18
- 238000005070 sampling Methods 0.000 claims abstract description 16
- 238000012544 monitoring process Methods 0.000 claims abstract description 4
- VGGSQFUCUMXWEO-UHFFFAOYSA-N Ethene Chemical compound C=C VGGSQFUCUMXWEO-UHFFFAOYSA-N 0.000 claims description 25
- 239000005977 Ethylene Substances 0.000 claims description 25
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims description 14
- 238000010438 heat treatment Methods 0.000 claims description 8
- 229910002092 carbon dioxide Inorganic materials 0.000 claims description 7
- 239000001569 carbon dioxide Substances 0.000 claims description 7
- 238000005273 aeration Methods 0.000 claims description 2
- 238000004891 communication Methods 0.000 claims description 2
- 230000000694 effects Effects 0.000 abstract description 5
- 238000004519 manufacturing process Methods 0.000 abstract description 3
- 230000001133 acceleration Effects 0.000 description 6
- 238000009423 ventilation Methods 0.000 description 5
- 238000005057 refrigeration Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 235000004936 Bromus mango Nutrition 0.000 description 1
- 240000007228 Mangifera indica Species 0.000 description 1
- 235000014826 Mangifera indica Nutrition 0.000 description 1
- 240000008790 Musa x paradisiaca Species 0.000 description 1
- 235000009184 Spondias indica Nutrition 0.000 description 1
- 235000021015 bananas Nutrition 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A23—FOODS OR FOODSTUFFS; TREATMENT THEREOF, NOT COVERED BY OTHER CLASSES
- A23B—PRESERVING, e.g. BY CANNING, MEAT, FISH, EGGS, FRUIT, VEGETABLES, EDIBLE SEEDS; CHEMICAL RIPENING OF FRUIT OR VEGETABLES; THE PRESERVED, RIPENED, OR CANNED PRODUCTS
- A23B7/00—Preservation or chemical ripening of fruit or vegetables
- A23B7/14—Preserving or ripening with chemicals not covered by groups A23B7/08 or A23B7/10
-
- A—HUMAN NECESSITIES
- A23—FOODS OR FOODSTUFFS; TREATMENT THEREOF, NOT COVERED BY OTHER CLASSES
- A23N—MACHINES OR APPARATUS FOR TREATING HARVESTED FRUIT, VEGETABLES OR FLOWER BULBS IN BULK, NOT OTHERWISE PROVIDED FOR; PEELING VEGETABLES OR FRUIT IN BULK; APPARATUS FOR PREPARING ANIMAL FEEDING- STUFFS
- A23N15/00—Machines or apparatus for other treatment of fruits or vegetables for human purposes; Machines or apparatus for topping or skinning flower bulbs
- A23N15/06—Devices for other treatment of fruit, e.g. marking, maturing, polishing
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- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Food Science & Technology (AREA)
- Polymers & Plastics (AREA)
- Chemical Kinetics & Catalysis (AREA)
- General Chemical & Material Sciences (AREA)
- Wood Science & Technology (AREA)
- Zoology (AREA)
- Storage Of Fruits Or Vegetables (AREA)
Abstract
The invention discloses an intelligent fruit ripening accelerating method and system. The ripening method comprises the following steps: sampling fruits, and identifying the types and the maturity parameters of the fruits to be ripened; selecting ripening parameters and a ripening mode, and carrying out ripening operation on fruits; and monitoring whether the fruits reach the ripening condition in real time in the ripening operation process, and finishing the ripening operation if the fruits reach the ripening condition. The invention does not need professionals to track the ripening treatment process in the whole process, has low ripening cost and stable effect, and can well meet the standardized ripening production requirement.
Description
Technical Field
The invention relates to the technical field of fruit processing, in particular to an intelligent fruit ripening accelerating method and system.
Background
In the market circulation of fruits, part of the fruits such as bananas, oranges, mangoes and the like are picked before the fruits are not completely ripe in consideration of the cycle time of transportation, storage and sale, and the ripeness of the fruits is improved by a manual ripening method before the fruits are sold, so that the requirements of customers are met.
The ripening of fruits relates to parameters such as temperature, humidity, ethylene, carbon dioxide and the like, and although the automatic control of the parameters is realized by the existing various ripening technologies, different fruit ripening parameters have differences and do not have a constant control strategy in the ripening process because of different ripeness and characteristics of the fruits, and a professional is usually required to analyze the fruit ripening parameters according to the types and the color change conditions of the fruits in the ripening process and adjust the control parameters at any time so as to ensure the reasonable operation of the parameters such as temperature, humidity, ethylene, carbon dioxide and the like. The traditional operation mode needs the whole process tracking of personnel, has high requirements on the professional and responsibility of the personnel, thus causing high ripening cost and unstable effect and failing to meet the requirements of standardized ripening production.
Disclosure of Invention
The invention aims to provide an intelligent fruit ripening method and an intelligent fruit ripening system, which mainly aim at overcoming the defects of the ripening technology.
The technical scheme provided by the invention is that an intelligent fruit ripening accelerating method is designed, and the intelligent fruit ripening accelerating method comprises the following steps:
sampling fruits, and identifying the types and the maturity parameters of the fruits to be ripened;
selecting ripening parameters and a ripening mode, and carrying out ripening operation on fruits;
and monitoring whether the fruits reach the ripening condition in real time in the ripening operation process, and finishing the ripening operation if the fruits reach the ripening condition.
The ripening parameters comprise temperature, humidity, ethylene concentration and/or carbon dioxide concentration.
The maturity conditions include sugar and color.
Preferably, the ripening pattern comprises a custom parameter and an automatic control parameter.
Preferably, the ripening method of the present invention further comprises the step of dynamically adjusting ripening parameters during the ripening operation.
The dynamic adjustment includes: temperature regulation, moderation, ethylene regulation, and/or aeration regulation.
The invention also provides an intelligent fruit ripening system which comprises a ripening warehouse, a ripening platform for placing fruits, a camera, a ripening parameter collector, refrigeration equipment, a humidifier, heating equipment, an ethylene valve, exhaust equipment and a controller, wherein the controller receives information sent by the camera and the ripening parameter collector and controls the operation of the refrigeration equipment, the humidifier, the heating equipment, the ethylene valve and the exhaust equipment.
Preferably, the controller includes a memory and a network communication interface.
The ripening parameter collector comprises a temperature collector, a humidity collector, an ethylene concentration collector and/or a sugar collector.
Preferably, a fruit sampling table is arranged outside the ripening warehouse.
Compared with the prior art, the intelligent control demand of ripening acceleration of the fruits is realized, the types and the maturity of the fruits can be automatically identified, the corresponding control program is automatically provided, the control program can be dynamically adjusted according to the maturity of the fruits in the ripening acceleration process, the operation of professionals in the ripening acceleration process is not needed, the ripening acceleration effect is good, and the ripening acceleration demand with high standard and low cost can be met.
Drawings
FIG. 1 is a schematic diagram of a control system of the present invention;
FIG. 2 is a schematic diagram of an embodiment of the intelligent ripening system of the present invention;
FIG. 3 is a flow chart of the intelligent ripening method of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in detail with reference to the accompanying drawings and examples. It should be understood that the following specific examples are only for illustrating the present invention and are not to be construed as limiting the present invention.
The invention provides an intelligent fruit ripening system, which comprises a ripening warehouse and a ripening platform for placing fruits, and is characterized by also comprising: the intelligent ripeness-promoting device comprises a camera, a ripeness-promoting parameter collector, a refrigerating device, a humidifier, a heating device, an ethylene valve, an exhaust device and a controller, wherein the controller receives information sent by the camera and the ripeness-promoting parameter collector and controls the operation of the refrigerating device, the humidifier, the heating device, the ethylene valve and the exhaust device.
As shown in fig. 1, the control system includes a main controller 101, a sampling camera 102 connected to an input end of the main controller, a sampling sugar collector 103, a ripening camera 104, a ripening sugar collector 105, a temperature collector 106, a humidity collector 107, an ethylene concentration collector 108, a carbon dioxide collector 109, a temperature controller 110, a humidity controller 111, an ethylene concentration controller 112, and a ventilation controller 113 connected to an output end of the main controller 101. The controller 101 configures the network port 115.
FIG. 2 is a schematic diagram of an embodiment of an intelligent ripening system. The controller 101 is installed on the ripening warehouse 201, the sampling table 203 is installed outside the ripening warehouse 201, the sampling camera 102 and the sampling sugar collector 103 are arranged in the controller, and the fruit samples before ripening are identified by the sampling table 203 according to the types and the ripeness of the fruits. The fruit 202 to be ripened is placed in the ripening warehouse 201, and the ripening sugar collector 105 is inserted into the fruit pulp for sampling. The controller collects the data of each operation parameter through a temperature collector 106, a humidity collector 107, an ethylene concentration collector 108 and a carbon dioxide collector 109 which are arranged on the ripening warehouse 201, calls the data stored in the memory to carry out calculation and outputs control parameters, and respectively controls the operation of the heating equipment 204, the refrigeration equipment 205, the exhaust fan 206, the ethylene valve 207 and the humidifier 208. In the ripening process, the ripening degree of the fruits is monitored in real time by the ripening camera 104 and the ripening sugar collector 105, and after the ripening requirement is met, the controller 101 sends out a ripening completion notification to finish the ripening operation.
FIG. 3 is a flow chart of the intelligent ripening method of the present invention, comprising the following steps:
step 1, sampling fruits, and identifying the types and the maturity parameters of the fruits to be ripened;
step 2, selecting ripening parameters and a ripening mode, and carrying out ripening operation on the fruits;
the ripening mode comprises a self-defined parameter and an automatic control parameter.
Ripening parameters include temperature, humidity, ethylene concentration, and/or carbon dioxide concentration.
And 3, monitoring whether the fruits reach the ripening condition in real time in the ripening operation process, and finishing the ripening operation if the fruits reach the ripening condition.
Ripening conditions include sugar and color.
And step 3, dynamically adjusting ripening parameters in the ripening operation process. The dynamic adjustment includes: temperature regulation, humidity regulation, ethylene regulation, and/or ventilation regulation.
As shown in figure 3, the fruit ripening control method and the fruit ripening control system have the advantages that the types and the ripeness of fruits are identified through sampling, the controller automatically provides a ripening control program according to sampling data, and a user can adjust the sampling data and start to select a ripening mode after adjustment. The user can select an automatic control program or a custom program control mode according to the situation. After the ripening work is carried out, the controller monitors the ripeness of the fruits in real time through various sensors and cameras, dynamically adjusts the temperature, the humidity, the ethylene and the ventilation control according to the ripeness grade, and stops the ripening operation until the detected ripeness meets the requirement. All parameters are automatically and dynamically adjusted in the ripening process, so that unmanned ripening operation is realized.
The controller is internally provided with ripening control programs of various fruits, the control programs can be dynamically adjusted according to the collected parameters, and manual interference is not needed in the process.
The input end of the controller is connected with signals collected by the camera, the temperature collector, the humidity collector, the ethylene collector and the sugar collector and is used for controlling intelligent operation.
The output end of the controller can be connected with refrigeration equipment, a humidifier, heating equipment, an ethylene valve, ventilation equipment and the like for intelligent control.
Before fruit ripening, to selecting the fruit sample that needs ripening by operating personnel, this sample passes through the camera and measures the outward appearance of fruit, surface color, and the controller can automatic identification this fruit's grade, maturity.
In order to measure the ripening acceleration of the fruit more correctly, a sugar collector can be inserted into the fruit to measure the sugar content of the fruit.
After the controller is sampled by the camera and the sugar collector, the ripening control program is automatically adjusted by the control program arranged in the controller.
The controller can be linked with an upper computer through a network, so that higher computing power and a latest control program are obtained. The operator can also remotely view the ripening process through the network.
Preferably, the controller has a self-learning function, and the adjusting program is continuously optimized through daily ripening dynamic adjustment, so that the ripening effect is improved.
During ripening of the sampled fruits, various data are collected in real time by a camera, a temperature collector, a humidity collector, an ethylene collector and a sugar collector in a ripening warehouse. The controller analyzes the color and sugar changes of the fruits collected by the camera and a program built in the controller, adjusts the temperature, the humidity, the ethylene concentration and the ventilation control in real time to ensure the optimal conditions for ripening the fruits, and stops ripening when the controller reaches the ripening standard through the color and the sugar on the surfaces of the fruits.
The invention does not need professionals to track the ripening treatment process in the whole process, has low ripening cost and stable effect, and can well meet the standardized ripening production requirement.
The foregoing is considered as illustrative only of the embodiments of the invention. It should be understood that any modifications, equivalents and changes made within the spirit and framework of the inventive concept are intended to be included within the scope of the present invention.
Claims (10)
1. An intelligent fruit ripening method is characterized by comprising the following steps:
sampling fruits, and identifying the types and the maturity parameters of the fruits to be ripened;
selecting ripening parameters and a ripening mode, and carrying out ripening operation on fruits;
and monitoring whether the fruits reach the ripening condition in real time in the ripening operation process, and finishing the ripening operation if the fruits reach the ripening condition.
2. The intelligent fruit ripening method of claim 1, wherein the ripening parameters comprise temperature, humidity, ethylene concentration, and/or carbon dioxide concentration.
3. The intelligent fruit ripening method of claim 1, wherein the ripeness parameters comprise sugar and color.
4. The intelligent fruit ripening method of claim 1, wherein the ripening pattern comprises custom parameters and automatic control parameters.
5. The intelligent fruit ripening method of claim 1, further comprising the step of dynamically adjusting ripening parameters during ripening operations.
6. The intelligent fruit ripening method of claim 5, wherein said dynamic adjustment comprises: temperature regulation, moderation, ethylene regulation, and/or aeration regulation.
7. The utility model provides a fruit intelligence ripening system, includes ripening storehouse, the platform of ripening of placing fruit, its characterized in that still includes: the intelligent ripeness-promoting device comprises a camera, a ripeness-promoting parameter collector, a refrigerating device, a humidifier, a heating device, an ethylene valve, an exhaust device and a controller, wherein the controller receives information sent by the camera and the ripeness-promoting parameter collector and controls the operation of the refrigerating device, the humidifier, the heating device, the ethylene valve and the exhaust device.
8. The intelligent fruit ripening system of claim 7, wherein the controller comprises a memory and a network communication interface.
9. The intelligent fruit ripening system of claim 7, wherein the ripening parameter collector comprises a temperature collector, a humidity collector, an ethylene concentration collector, and/or a sugar collector.
10. The intelligent fruit ripening system of claim 7, wherein a fruit sampling table is provided outside the ripening warehouse.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811297313.2A CN111109350A (en) | 2018-11-01 | 2018-11-01 | Intelligent fruit ripening accelerating method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811297313.2A CN111109350A (en) | 2018-11-01 | 2018-11-01 | Intelligent fruit ripening accelerating method and system |
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| Publication Number | Publication Date |
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| CN111109350A true CN111109350A (en) | 2020-05-08 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811297313.2A Pending CN111109350A (en) | 2018-11-01 | 2018-11-01 | Intelligent fruit ripening accelerating method and system |
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| Country | Link |
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| CN (1) | CN111109350A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112716009A (en) * | 2021-01-18 | 2021-04-30 | 临夏市哈利德清真食品有限公司 | Fruit ripening accelerating system and fruit ripening accelerating method |
| CN113701432A (en) * | 2021-08-11 | 2021-11-26 | 安徽康佳同创电器有限公司 | Multifunctional refrigerator with fruit ripening acceleration function and control method thereof |
| CN114027527A (en) * | 2021-11-08 | 2022-02-11 | 珠海格力电器股份有限公司 | Fruit and vegetable ripening device, control method thereof and refrigerator |
| CN115097885A (en) * | 2022-06-17 | 2022-09-23 | 中国农业大学 | Automatic regulation and control method and system for fruit ripening acceleration |
| CN115507596A (en) * | 2021-06-07 | 2022-12-23 | 青岛海尔电冰箱有限公司 | Refrigerating and freezing device and control method thereof |
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| CN107751355A (en) * | 2017-09-05 | 2018-03-06 | 鲁东大学 | Materials flow chart predicts automatic control fruits and vegetables transportation resources as maturity |
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2018
- 2018-11-01 CN CN201811297313.2A patent/CN111109350A/en active Pending
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| JPH02299541A (en) * | 1989-05-11 | 1990-12-11 | Meika Kk | Method for automatically controlling after ripening processing of banana and apparatus therefor |
| JP2010166840A (en) * | 2009-01-21 | 2010-08-05 | Shinji Nagai | Management system for processing during ripening of vegetables |
| US20170199952A1 (en) * | 2014-06-26 | 2017-07-13 | Jeju National University Industry-Academic Cooperation Foundation | Method of predicting sugar content and acidity of fruit using multivariate statistical analysis of ft-ir spectrum data |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112716009A (en) * | 2021-01-18 | 2021-04-30 | 临夏市哈利德清真食品有限公司 | Fruit ripening accelerating system and fruit ripening accelerating method |
| CN115507596A (en) * | 2021-06-07 | 2022-12-23 | 青岛海尔电冰箱有限公司 | Refrigerating and freezing device and control method thereof |
| CN115507596B (en) * | 2021-06-07 | 2024-04-19 | 青岛海尔制冷电器有限公司 | Refrigerating and freezing device and control method thereof |
| CN113701432A (en) * | 2021-08-11 | 2021-11-26 | 安徽康佳同创电器有限公司 | Multifunctional refrigerator with fruit ripening acceleration function and control method thereof |
| CN114027527A (en) * | 2021-11-08 | 2022-02-11 | 珠海格力电器股份有限公司 | Fruit and vegetable ripening device, control method thereof and refrigerator |
| CN114027527B (en) * | 2021-11-08 | 2023-10-20 | 珠海格力电器股份有限公司 | Fruit and vegetable ripening device, control method thereof and refrigerator |
| CN115097885A (en) * | 2022-06-17 | 2022-09-23 | 中国农业大学 | Automatic regulation and control method and system for fruit ripening acceleration |
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Application publication date: 20200508 |
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