CN211907827U

CN211907827U - Plant factory self-feedback learning growth control system based on deep learning

Info

Publication number: CN211907827U
Application number: CN202020913308.6U
Authority: CN
Inventors: 朱建至; 谷月; 余治梅
Original assignee: Individual
Current assignee: Gu Yue
Priority date: 2020-05-27
Filing date: 2020-05-27
Publication date: 2020-11-10
Anticipated expiration: 2030-05-27

Abstract

The utility model relates to a plant factory technical field especially relates to a plant factory is from feedback study growth control system based on degree of depth study, solves the controller plug and easily becomes flexible the shortcoming that drops, the overheated reduction life of controller, the camera includes a supporting plate, the upper end contact of backup pad is connected with heat conduction silica gel cover, the lower extreme contact connection of heat conduction silica gel cover has the heat conduction pole, the inside fixed cup of heat conduction silica gel cover has the controller, the right-hand member fixed mounting of controller has the socket. The utility model discloses a design heat conduction silica gel cover and the ring that sets up on the plug to the bolt rubber band between two rings, when the plug inserts the socket, the rubber band can be in tensile state, and through the tensile action of rubber band, upper end rubber band can give a power to the upper left of plug, and lower extreme rubber band can give a power to the lower left of plug, through the effect of two rubber bands, can give the power left of plug, makes plug and socket can fix, is difficult for droing.

Description

Plant factory self-feedback learning growth control system based on deep learning

Technical Field

The utility model relates to a plant factory technical field especially relates to a plant factory is from feedback study growth control system based on degree of depth study.

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.

This control system's at present controller is when using, and to the mounting means of plug only ordinary grafting, the controller rock vibrations etc. can lead to the not hard up of plug to drop even, have influenced the normal use of controller, have influenced availability factor under a certain extent to under the condition of long-time work, overheated condition can appear in the controller, untimely reduce the life of controller that can become looks to it cooling.

SUMMERY OF THE UTILITY MODEL

The utility model aims at solving the shortcoming that the controller plug easily becomes flexible and drops, the overheated reduction life of controller, and the plant factory who provides learns growth control system from feedback based on degree of depth study.

In order to achieve the above purpose, the utility model adopts the following technical scheme:

the utility model provides a plant factory self-feedback study growth control system based on degree of depth study, includes the backup pad, the upper end contact connection of backup pad has heat conduction silica gel cover, the lower extreme contact connection of heat conduction silica gel cover has the heat conduction pole, the inside fixed cover of heat conduction silica gel cover has connect the controller, the right-hand member fixed mounting of controller has the socket, the right-hand member of socket is pegged graft and is had the plug, the upper end fixed mounting of plug has the ring the right-hand member fixed mounting of plug has the wire, the lower extreme fixed mounting of backup pad has the bracing piece, the lower extreme fixed mounting of bracing piece has the water tank, the left end of water tank is.

Preferably, the plant factory self-feedback learning growth control system based on deep learning comprises a sensor module, a data collection module, a database, a network module, a control module, a temperature sensor, a humidity sensor, a light sensor, a data query module and a data comparison module, wherein the sensor module is connected with the data collection module, the data collection module is connected with the database, the database is bidirectionally connected with the network module, the network module is connected with the control module, the temperature sensor is connected with the humidity sensor, the humidity sensor is connected with the light sensor, the data query module is connected with the data comparison module

Preferably, the quantity of ring is four, two the even right-hand member lateral wall of installing at heat conduction silica gel cover of ring, two the even both sides of installing at the plug of ring, upper and lower two the bolt has the rubber band between the ring.

Preferably, the number of the heat conduction rods is multiple, and the multiple heat conduction rods are uniformly distributed at the lower end of the heat conduction silica gel sleeve.

Preferably, the inside of the supporting plate is slidably connected with a heat conducting rod, and the lower end of the heat conducting rod is inserted into the water tank.

Preferably, the water tank is a transparent glass tank, and pigment is scattered in the water tank.

The utility model has the advantages that: by designing the heat-conducting silica gel sleeve and the circular rings arranged on the plug and bolting the rubber band between the two circular rings, when the plug is inserted into the socket, the rubber band can be in a stretching state, the upper end rubber band can provide a force to the upper left of the plug through the stretching effect of the rubber band, the lower end rubber band can provide a force to the lower left of the plug, and the left force can be provided for the plug through the effects of the two rubber bands, so that the plug and the socket can be fixed and are not easy to fall off;

connect the controller in heat conduction silica gel cover through the design, heat conduction silica gel cover can absorb the heat of controller, then in heat conduction pole transmission to the water tank through the lower extreme, plays the effect of a cooling to the heat conduction pole through the effect of water to reach the effect to the controller heat dissipation cooling.

Drawings

Fig. 1 is a schematic structural diagram of a plant factory self-feedback learning growth control system based on deep learning according to the present invention;

fig. 2 is an enlarged view of the part a of the plant factory self-feedback learning growth control system based on deep learning of the present invention in fig. 1;

fig. 3 is the utility model provides a plant factory self feedback learns growth control system's module schematic diagram based on degree of depth learning.

In the figure: 1. a support plate; 2. a heat-conducting silica gel sleeve; 3. a controller; 4. a socket; 5. a plug; 6. a wire; 7. a water tank; 8. a water injection port; 9. a heat conducting rod; 10. a circular ring; 11. a rubber band; 12. a support bar; 13. a sensor module; 14. a data collection module; 15. a database; 16. a network module; 17. a control module; 131. a temperature sensor; 132. a humidity sensor; 133. a light sensor; 161. a data query module; 162. and a data comparison module.

Detailed Description

The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments.

Referring to fig. 1-3, a plant factory self-feedback study growth control system based on degree of depth study, including backup pad 1, the upper end contact connection of backup pad 1 has heat conduction silica gel cover 2, heat conduction silica gel cover 2 is used for 3 thermal absorptions to the controller, the lower extreme contact connection of heat conduction silica gel cover 2 has heat conduction pole 9, heat conduction pole 9 is used for thermal transmission, the inside fixed cover of heat conduction silica gel cover 2 has connect controller 3, the right-hand member fixed mounting of controller 3 has socket 4, socket 4's right-hand member is pegged graft and has plug 5, the upper end fixed mounting of plug 5 has ring 10 plug 5's right-hand member fixed mounting has wire 6, the lower extreme fixed mounting of backup pad 1 has bracing piece 12, bracing piece 12 is used for supporting the upper end structure, the lower extreme fixed mounting of bracing piece 12 has water tank 7, the left end of water tank 7 is provided with water.

According to the scheme, the heat-conducting silica gel sleeve 2 and the circular rings 10 arranged on the plug 5 are designed, the rubber band 11 is bolted between the two circular rings 10, when the plug 5 is inserted into the socket 4, the rubber band 11 can be in a stretching state, the rubber band 11 at the upper end can provide a force to the upper left of the plug 5 under the stretching action of the rubber band 11, the rubber band 11 at the lower end can provide a force to the lower left of the plug 5, and the force to the left of the plug 5 can be provided under the effect of the two rubber bands 11, so that the plug 5 and the socket 4 can be fixed and are not easy to fall off;

cup joint controller 3 in heat conduction silica gel cover 2 through the design, heat conduction silica gel cover 2 can absorb the heat of controller 3, then in heat conduction pole 9 transmission to water tank 7 through the lower extreme, comes to play the effect of a cooling to heat conduction pole 9 through the effect of water to reach the effect to the heat dissipation cooling of controller 3.

In this embodiment, the plant factory self-feedback learning growth control system based on deep learning includes a sensor module 13, a data collection module 14, a database 15, a network module 16, a control module 17, a temperature sensor 131, a humidity sensor 132, a light sensor 133, a data query module 161 and a data comparison module 162, the sensor module 13 is connected to the data collection module 14, the data collection module 14 is connected to the database 15, the database 15 is connected to the network module 16 in a bidirectional manner, the network module 16 is connected to the control module 17, the temperature sensor 131 is connected to the humidity sensor 132, the humidity sensor 132 is connected to the light sensor 133, and the data query module 161 is connected to the data comparison module 162. The sensor module 13 is designed to be used for detecting temperature, humidity and light data of a plant growing environment, the data collection module 14 is used for collecting the detected data, the database 15 is used for storing the data, the network module 16 is used for uploading the data in the database 15 and inquiring and comparing the data in the network, and the control module 17 is used for changing and controlling the conditions of the temperature, the humidity and the light of the plant growing environment.

In this embodiment, the quantity of ring 10 is four, and two rings 10 are even installs the right-hand member lateral wall at heat conduction silica gel cover 2, and two rings 10 are even installs in the both sides of plug 5, and the bolt has rubber band 11 between two upper and lower rings 10. By designing the rubber band 11 and the circular ring 10, the stretching action of the rubber band 11 applies the stretching force to the circular ring 10.

In this embodiment, the number of the heat conducting rods 9 is plural, and the plural heat conducting rods 9 are uniformly distributed at the lower end of the heat conducting silicone sleeve 2. Through the design of the heat conducting rod 9, the heat of the heat conducting silica gel sleeve 2 can be transferred.

In this embodiment, the inside of the support plate 1 is slidably connected with a heat conduction rod 9, and the lower end of the heat conduction rod 9 is inserted into the water tank 7. By designing the contact between the heat conduction rod 9 and the water in the water tank 7, the heat of the heat conduction rod 9 can be absorbed by the water in the water tank 7.

In this embodiment, the water tank 7 is a transparent glass tank, and a pigment is scattered in the water tank 7. Through the pigment in the design water tank 7, the water quantity in the water tank 7 can be conveniently observed from the outside, and water can be conveniently added in time.

The utility model discloses at the concrete implementation in-process: when needs are fixed to plug 5, insert socket 4 with plug 5 earlier in, then bolted rubber band 11 between two rings 10, and make rubber band 11 be in tensile state, the tensile effect of

rubber band

11, 5 the power to the upper left side of plug can be given to upper

end rubber band

11, 5 the power of below left of plug can be given to lower extreme rubber band 11, through the effect of two rubber bands 11, can give 5 the power to the left of plug, make plug 5 and socket 4 can be fixed, be difficult for droing. When controller 3 need cool down the heat dissipation, with the aquatic in heat conduction pole 9 inserts water tank 7, heat conduction silica gel cover 2 can absorb the heat that controller 3 produced, heat conduction pole 9 can transmit the heat of heat conduction silica gel cover 2, water contact in heat conduction pole 9 and the water tank 7, water in the water tank 7 can absorb the heat of heat conduction pole 9, reach the effect to the heat conduction pole 9 cooling, thereby reach and cool down radiating effect to controller 3, the life of controller 3 has been improved to a certain extent.

The above, only be the concrete implementation of the preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art is in the technical scope of the present invention, according to the technical solution of the present invention and the utility model, the concept of which is equivalent to replace or change, should be covered within the protection scope of the present invention.

Claims

1. A plant factory self-feedback learning growth control system based on deep learning comprises a support plate (1), it is characterized in that the upper end of the supporting plate (1) is connected with a heat-conducting silica gel sleeve (2) in a contact way, the lower end of the heat-conducting silica gel sleeve (2) is connected with a heat-conducting rod (9) in a contact way, the controller (3) is fixedly sleeved in the heat-conducting silica gel sleeve (2), a socket (4) is fixedly arranged at the right end of the controller (3), a plug (5) is inserted at the right end of the socket (4), a circular ring (10) is fixedly arranged at the upper end of the plug (5), a lead (6) is fixedly arranged at the right end of the plug (5), the lower extreme fixed mounting of backup pad (1) has bracing piece (12), the lower extreme fixed mounting of bracing piece (12) has water tank (7), the left end of water tank (7) is provided with water filling port (8).

2. The plant factory self-feedback learning growth control system based on deep learning as claimed in claim 1, wherein the plant factory self-feedback learning growth control system based on deep learning comprises a sensor module (13), a data collection module (14), a database (15), a network module (16), a control module (17), a temperature sensor (131), a humidity sensor (132), a light sensor (133), a data query module (161) and a data comparison module (162), the sensor module (13) is connected with the data collection module (14), the data collection module (14) is connected with the database (15), the database (15) is connected with the network module (16) in a bidirectional way, the network module (16) is connected with the control module (17), and the temperature sensor (131) is connected with the humidity sensor (132), the humidity sensor (132) is connected with the light sensor (133), and the data query module (161) is connected with the data comparison module (162).

3. The plant factory self-feedback learning growth control system based on deep learning is characterized in that the number of the circular rings (10) is four, two circular rings (10) are uniformly installed on the side wall of the right end of the heat-conducting silica gel sleeve (2), two circular rings (10) are uniformly installed on two sides of the plug (5), and a rubber band (11) is bolted between the upper circular ring (10) and the lower circular ring (10).

4. The plant factory self-feedback learning growth control system based on deep learning as claimed in claim 1, wherein the number of the heat conducting rods (9) is multiple, and the multiple heat conducting rods (9) are uniformly distributed at the lower end of the heat conducting silica gel sleeve (2).

5. The plant factory self-feedback learning growth control system based on deep learning as claimed in claim 1, wherein a heat conducting rod (9) is slidably connected to the inside of the support plate (1), and the lower end of the heat conducting rod (9) is inserted into the water tank (7).

6. The plant factory self-feedback learning growth control system based on deep learning as claimed in claim 1, wherein the water tank (7) is a transparent glass tank, and pigment is sprinkled in the water tank (7).