CN218100027U - Internet of things breeding remote control system - Google Patents
Internet of things breeding remote control system Download PDFInfo
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- CN218100027U CN218100027U CN202222668230.8U CN202222668230U CN218100027U CN 218100027 U CN218100027 U CN 218100027U CN 202222668230 U CN202222668230 U CN 202222668230U CN 218100027 U CN218100027 U CN 218100027U
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- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The utility model provides a remote control system is bred in thing networking, include: the system comprises a master control system, a data processing system and a data processing system, wherein the master control system comprises a master controller, a sensor module and a 4G or 5G communication module; the sensor module is also provided with a wireless data transmission module, the sensor module is connected with the main controller, and the sensor module is used for collecting environmental information in a farm and uploading the environmental information to the main controller through the wireless data transmission module; the Internet of things cloud platform is connected with the master control system, and the master control system uploads the processed environment information in the farm to the Internet of things cloud platform through the 4G or 5G communication module; and the user side APP server is connected with the Internet of things cloud platform and used for monitoring the environmental information in the farm by the user side APP server. The system is built based on the Internet of things system, remote monitoring can be achieved at the cloud end, and intelligent breeding management control is achieved.
Description
Technical Field
The utility model relates to an intelligence breeding technology field especially relates to a remote control system is bred in thing networking.
Background
Modern farms are increasingly entrepreneurized, and with intensive and large-scale development of the breeding industry, management of the breeding industry is usually limited to respectively managing each farm at a local end, and remote internet of things centralized management control is lacked. Therefore, how to realize remote intelligent centralized management control on livestock and poultry breeding industry becomes more urgent.
SUMMERY OF THE UTILITY MODEL
Not enough to prior art, the utility model provides a remote control system is bred in thing networking, this system have realized the long-range real time control of plant, have reduced the administrative cost of plant.
In order to achieve the above object, the utility model provides an aspect provides a remote control system is bred in thing networking, include:
the system comprises a master control system, a data processing system and a data processing system, wherein the master control system comprises a master controller, a sensor module and a 4G or 5G communication module; the sensor module is also provided with a wireless data transmission module, the sensor module and the sensor module
Main control
The sensor module is used for collecting environmental information in a farm and uploading the environmental information to the main controller through the wireless data transmission module;
the Internet of things cloud platform is connected with the master control system, and the master control system uploads the processed environment information in the farm to the Internet of things cloud platform through the 4G or 5G communication module;
and the user side APP server is connected with the Internet of things cloud platform and used for monitoring the environmental information in the farm by the user side APP server.
Optionally, the master control system is built by using a Linux operating system.
Optionally, the sensor module includes: the system comprises a temperature sensor for collecting the temperature in the farm, a humidity sensor for collecting the humidity of the farm, a carbon dioxide sensor for collecting the concentration of carbon dioxide in the farm, an ammonia sensor for collecting the concentration of ammonia in the farm and a negative pressure sensor for collecting the pressure in the farm.
Optionally, the main control system further comprises a data acquisition module and a data output module,
the data acquisition module comprises:
the AI data acquisition module adopts 8-path analog quantity input;
the DI data acquisition module adopts 8-channel digital quantity input;
the data output module includes:
the AO data output module outputs by adopting 4 paths of analog quantity;
DO data output module, which outputs 8-channel digital quantity;
the data acquisition module is connected with the sensor module and is used for transmitting the environmental information in the farm, which is acquired by the sensor module, to the main controller;
the data output module is connected with the main controller and the peripheral equipment and used for transmitting a control instruction generated by the main controller according to the environmental information in the farm to the peripheral equipment.
Optionally, the peripheral equipment comprises a temperature control device, an illuminating device, an alarm and a pulse feeding device;
the pulse feeding equipment is connected with the DO data output module;
the temperature control device is connected with the AO data output module and/or the DO data output module;
the alarm is connected with the AO data output module and/or the DO data output module;
the illumination device is connected with the AO data output module and/or the DO data output module.
Optionally, the sensor module is further configured with a separate power module to supply power.
Optionally, the system further comprises a camera, wherein the camera is arranged in the farm and connected with the main controller.
According to the above technical scheme, the utility model discloses an advantage lies in:
the utility model provides a remote control system is bred in thing networking has configured major control system, thing networking cloud platform, user side APP server to realize that intelligence is bred administrative control. The system comprises a main control system, a sensor module, a 4G or 5G communication module, a wireless data transmission module and a wireless data transmission module, wherein the sensor module is connected with the main control system and is used for collecting environmental information in a farm and uploading the environmental information to the main control system through the wireless data transmission module; the internet of things cloud platform is connected with the master control system, and the master control system uploads the processed environment information in the farm to the internet of things cloud platform through the 4G or 5G communication module, so that the cloud end can store the information in real time; user side APP server with thing networking cloud platform connects, is used for user side APP server monitors the environmental information in the plant. The system is built based on the Internet of things system, remote monitoring can be achieved at the cloud end, and intelligent breeding management control is achieved.
Drawings
Fig. 1 is a block diagram of the overall structure of an internet-of-things breeding remote control system provided by the embodiment of the utility model;
fig. 2 is a detailed structural block diagram of the internet of things aquaculture remote control system provided in fig. 1.
Detailed Description
In order to make the aforementioned features and effects of the present invention more comprehensible, embodiments accompanied with figures are described in detail below.
Specifically, referring to fig. 1, fig. 1 is a block diagram illustrating an overall structure of an internet-of-things aquaculture remote control system;
an internet of things breeding remote control system, comprising:
the system comprises a master control system, a data processing system and a data processing system, wherein the master control system comprises a master controller, a sensor module and a 4G or 5G communication module; the sensor module is also provided with a wireless data transmission module, is connected with the main controller and is used for collecting environmental information in a farm and uploading the environmental information to the main controller through the wireless data transmission module;
the Internet of things cloud platform is connected with the master control system, and the master control system uploads the processed environment information in the farm to the Internet of things cloud platform through the 4G or 5G communication module;
user side APP server, with thing networking cloud platform connects, is used for user side APP server monitors the environmental information in the plant.
In concrete realization, the main control system is built by a Linux operating system in the embodiment, the internet of things cloud platform can be an Ali cloud platform, the user side APP server can comprise an enterprise user side and a personal user side, and the internet of things cloud platform is connected with the user side APP server through the rule engine to complete man-machine interaction.
In addition, referring to fig. 2, fig. 2 is a detailed structural block diagram of the internet of things aquaculture remote control system;
wherein, to the sensor module, the sensor module specifically includes temperature sensor, humidity transducer, carbon dioxide sensor, ammonia sensor and negative pressure sensor in this embodiment, and wherein temperature sensor is used for gathering temperature in the plant, and humidity transducer is used for gathering plant humidity, carbon dioxide sensor are used for gathering carbon dioxide concentration in the plant, ammonia sensor are used for gathering ammonia concentration in the plant, negative pressure sensor is used for gathering the negative pressure sensor of plant internal pressure.
In addition, with further reference to fig. 2, the master control system further includes a data acquisition module and a data output module, wherein the data acquisition module includes: the AI data acquisition module adopts 8 paths of analog quantity input and 0-10V or 4-20mA signals; the DI data acquisition module adopts 8-path digital quantity input and comprises 2-path high-speed digital signal acquisition channels; the data output module includes: the AO data output module adopts 4 paths of analog quantity output and 0-10V or 4-20mA signals; and the DO data output module outputs 8 paths of digital quantity. The data acquisition module is connected with the sensor module, is used for transmitting the environmental information in the farm, which is acquired by the sensor module, to the main controller, namely is connected with a temperature sensor, a humidity sensor, a carbon dioxide sensor, an ammonia sensor, a negative pressure sensor and the like, and is used for uploading the acquired environmental information such as the temperature, the humidity, the carbon dioxide concentration, the ammonia concentration, the air pressure and the like of the farm to the main controller; the data output module is connected with the main controller and the peripheral equipment and used for transmitting a control instruction generated by the main controller according to the environmental information in the farm to the peripheral equipment.
For the peripheral equipment, the embodiment includes temperature control equipment, lighting equipment, an alarm, pulse feeding equipment and other equipment, wherein the temperature control equipment includes wet curtain fan, heating fan, air conditioner, electric heater and other equipment, and the temperature control equipment can be connected with the AO data output module and/or the DO data output module; the alarm can be connected with the AO data output module and/or the DO data output module; the illumination device may be connected with the AO data output module and/or the DO data output module. The pulse feeding equipment is connected with the DO data output module. In this embodiment, the main controller transmits a control instruction generated according to the environmental information in the farm to the peripheral device, that is, first, AI acquisition data such as temperature, humidity, CO2 and the like are detected, and if the temperature is high, the temperature control device is turned on through the control data output module to cool down; if the temperature is too low, the temperature control equipment is opened through the control data output module to heat; the AO data output module can control a variable frequency fan, lighting equipment and the like to realize the control of the variable frequency fan and the light brightness; and the DO data output module is connected with pulse feeding equipment, and judges whether the feeding and water amount are normal or not by accessing feeding and water materials.
In addition, as further shown in fig. 2, the sensor module in this embodiment is also configured with a separate power module to supply power.
In addition, as further shown in fig. 2, the system further comprises a camera, which is arranged in the farm and connected with the main controller to monitor the farm in real time.
To sum up, the internet of things aquaculture remote control system provided by the embodiment is configured with a master control system, an internet of things cloud platform and a user side APP server to realize intelligent aquaculture management control. The system comprises a main control system, a sensor module, a 4G or 5G communication module, a wireless data transmission module and a data acquisition module, wherein the main control system is provided with the main controller, the sensor module is connected with the main controller and is used for acquiring environmental information in a farm and uploading the environmental information to the main controller through the wireless data transmission module; the internet of things cloud platform is connected with the master control system, and the master control system uploads the processed environment information in the farm to the internet of things cloud platform through the 4G or 5G communication module, so that the cloud end can store the information in real time; user side APP server with thing networking cloud platform connects, is used for user side APP server monitors the environmental information in the plant. The system is built based on the Internet of things system, remote monitoring can be achieved at the cloud end, and intelligent breeding management control is achieved.
While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the present embodiments are not limited to those precise embodiments, which are intended to be illustrative rather than restrictive, and that various changes and modifications may be effected therein by one skilled in the art without departing from the scope of the appended claims.
Claims (7)
1. The utility model provides a remote control system is bred to thing networking which characterized in that includes:
the system comprises a master control system, a data processing system and a data processing system, wherein the master control system comprises a master controller, a sensor module and a 4G or 5G communication module;
the sensor module is also provided with a wireless data transmission module, the sensor module is connected with the main controller, and the sensor module is used for collecting environmental information in a farm and uploading the environmental information to the main controller through the wireless data transmission module;
the Internet of things cloud platform is connected with the master control system, and the master control system uploads the processed environment information in the farm to the Internet of things cloud platform through the 4G or 5G communication module;
and the user side APP server is connected with the Internet of things cloud platform and used for monitoring the environmental information in the farm by the user side APP server.
2. The internet-of-things aquaculture remote control system according to claim 1, wherein the master control system is built by using a Linux operating system.
3. The internet of things farming remote control system of claim 1, wherein the sensor module comprises: the system comprises a temperature sensor for collecting the temperature in the farm, a humidity sensor for collecting the humidity of the farm, a carbon dioxide sensor for collecting the concentration of carbon dioxide in the farm, an ammonia gas sensor for collecting the concentration of ammonia gas in the farm and a negative pressure sensor for collecting the pressure in the farm.
4. The Internet of things aquaculture remote control system of claim 3, wherein said master control system further comprises a data acquisition module and a data output module,
the data acquisition module comprises:
the AI data acquisition module adopts 8 paths of analog quantity input;
the DI data acquisition module adopts 8-channel digital quantity input;
the data output module includes:
the AO data output module outputs by adopting 4 paths of analog quantity;
the DO data output module outputs 8 paths of digital quantity;
the data acquisition module is connected with the sensor module and is used for transmitting the environmental information in the farm, which is acquired by the sensor module, to the main controller;
the data output module is connected with the main controller and the peripheral equipment and used for transmitting a control instruction generated by the main controller according to the environmental information in the farm to the peripheral equipment.
5. The Internet of things aquaculture remote control system of claim 4, wherein the peripheral devices comprise a temperature control device, a lighting device, an alarm, and a pulse feeding device;
the pulse feeding equipment is connected with the DO data output module;
the temperature control device is connected with the AO data output module and/or the DO data output module;
the alarm is connected with the AO data output module and/or the DO data output module;
the lighting device is connected with the AO data output module and/or the DO data output module.
6. The internet of things aquaculture remote control system of claim 1, wherein said sensor module is further configured with a separate power module to supply power.
7. The internet-of-things aquaculture remote control system of claim 1, further comprising a camera disposed in the farm and connected to the master controller.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202222668230.8U CN218100027U (en) | 2022-10-11 | 2022-10-11 | Internet of things breeding remote control system |
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| CN202222668230.8U CN218100027U (en) | 2022-10-11 | 2022-10-11 | Internet of things breeding remote control system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116155955A (en) * | 2023-03-02 | 2023-05-23 | 青岛鲜达物流科技有限公司 | Marine product farming systems of long-range safety monitoring |
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- 2022-10-11 CN CN202222668230.8U patent/CN218100027U/en active Active
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116155955A (en) * | 2023-03-02 | 2023-05-23 | 青岛鲜达物流科技有限公司 | Marine product farming systems of long-range safety monitoring |
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