KR101935715B1 - Smart Farm Control Methods Using Cloud Computing and Remote Senor - Google Patents

Abstract

Working and output voltages of temperature, humidity, flow rate, and illuminance sensors used in each smart farm are different from each other such that different control program or a setting value is used for each sensor. Moreover, when a cultivated agricultural product is changed, the setting value should be also changed. The setting value can be changed with a setting button installed in a controller. However, when a type of a sensor is changed, the control program should be generally changed. To achieve the problem, a cloud computing system of the present invention is provided. In the cloud computing system, previously installed temperature, humidity, flow rate, and illuminance sensors are used without modification, and a smart farm sensor controller performs analog-digital conversion of a sensor value measured in the sensors, and transmits a sensor measurement value to a cloud computing server as it is without converting a digital sensor value into temperature, humidity, flow rate, and illumination. The cloud computing server indexes a code assigned to a farm, a greenhouse, or a smart farm sensor controller, reads sensor correction data from an environment sensor database constructed therein based on a maker and a model of the temperature, humidity, flow rate, and illuminance sensors to convert the digital sensor value into a real value indicating temperature, humidity, flow rate, and illumination, and transmits the real value to the smart farm sensor controller. Accordingly, provided is a control environment capable of being operated without modifying a program of a smart farm sensor controller even if types and models of sensors are different.

Description

[0002] Smart Farm Control Methods Using Cloud Computing and Remote Senor [

The present invention relates to a smart farm control technology using cloud computing.

  The prior art of the present invention consists of a central server that communicates spatially distributed base units with a data network, each base unit comprising a controller and one or more sensor modules, wherein each sensor module measures air quality parameters Lt; / RTI > Each base unit transmits raw sensor data associated with each of the sensor modules via a data network and the central server receives raw sensor data from the base units and stores the raw sensor data in the database.

  The present invention relates to an environment control system and method in a ubiquitous environment, and more particularly, it relates to an environment control system and method in a ubiquitous environment, in which information related to an environment is received from an environment control facility and transmitted in a wired manner, A smart controller that receives information for calibration or reinstallation of software for system operation and is automatically installed; After receiving the environmental data and the status information from the smart controller, it transmits the key input value for changing the control setting value of the environment control facility to control the control setting value of the environment control facility, A portable terminal device that transmits information to a server and receives information for calibrating or reinstalling software for driving a smart controller from a server; And a communication control unit that receives environment data and status information of the environment control facility and smart controller system information from the portable terminal device when it is necessary to check the operation status of the smart controller as a communicatable computer, A server for transmitting information for calibration or reinstallation to the portable terminal device when necessary; . ≪ / RTI >

Patent Registration No. 10-1749513 Published Patent Application No. 10-2012-0051123

  The present invention relates to a method of continuously using a sensor such as temperature, humidity, air volume, and illuminance for environment control of a greenhouse or a smart farm which is installed in a disorderly manner and is not subjected to follow-up management or troubleshooting, at a minimum additional cost, Or smart palm light control, ventilation window control, ventilator control, boiler control and circulation fan, etc., can be replaced by the smart farm controller of the present invention even if the existing central controller can not be used irreparably To provide cloud computing technology.

  Another object of the present invention is to provide a facility which is affected by an external climate such as a greenhouse and a smart farm in such a way that when an abnormal climate change such as a typhoon, To provide a means to take action by means of a cloud computing device.

  In order to solve the above problems, the present invention provides a smart palm sensor controller for analog-to-digital conversion of sensor values measured by temperature, humidity, airflow, and brightness sensors to convert digital sensor values into temperature, humidity, airflow, And transmitting the digital sensor value to the Klaus computing server as it is. The cloud computing server uses the code assigned to the SmartFam sensor controller as an index, and receives temperature, humidity, airflow, and temperature from the environmental sensor database built in the cloud computing server, Humidity, air volume, and roughness calibration data on the basis of the manufacturer, model name, etc. of the ambient light sensor, converts the digital sensor value into an actual value indicative of temperature, humidity, air volume, and illuminance, Smart Farm Sensor controller.

  The actual environmental variable value is a value converted into ° C for a temperature sensor, a relative humidity% for humidity, Lux for illuminance, and m / s for air volume.

  The set values for controlling the smart palm sensor controller are in ° C for the temperature sensor,% relative humidity for humidity, Lux for illuminance and m / s for air volume.

  Therefore, even if the sensor type is changed, the smart palm sensor controller can be operated by comparing the calibrated actual environment variable value of the environment sensor database built in the cloud computing server with the set value. Therefore, if the sensor is changed, only the update of the change to the environment sensor database of the cloud computing server does not require modification of the built-in program of the smart palm sensor controller. Also, the set values for operation of the driving device linked to the smart palm sensor controller may be changed by the cloud computing server in accordance with the cultivation time, the type of the crop, the ambient temperature, the humidity, The smart palm sensor controller may transmit the sensor value to the controller and allow the cloud computing server to compare the sensing value and the set value for driving the smart palm sensor controller interlock driving device, And the driving operation of the Smart Palm sensor controller interlocking driving device may be performed by the cloud computing server.

  Meanwhile, even if the manufacturer and model of the sensor installed in the greenhouse or the smart farm are unknown and only the sensor type can be known, the calibration sensor terminal provided in the smart palm sensor controller is provided with the same type Sensor is installed in the smart palm sensor controller and the sensor is installed in the smart palm sensor controller without knowing the maker and the model and only the sensor type is known and then the data is measured so that the calibration sensor terminal having the calibration data of the sensor, It is possible to calculate and use calibration data of a sensor that is known only to the type of sensor by knowing the maker and the model in the calibration database of the cloud computing server by calculating from the measurement data of the same type of sensor having the manufacturer and model name.

 One or more calibration sensor terminals may be provided for each sensor type. Since only the voltage value converted to digital is transmitted to the cloud computing server even in the case where one calibration sensor terminal is provided, the type of sensor is informed to the server in the calibration step so that all types of environment sensors can be calibrated You can store calibration data on a cloud computing server.

   The smart palm sensor controller is a control signal for controlling the boiler on / off or temperature control, illumination on / off, light control shading film, ventilation window opening / closing, ventilator on / The signal for on / off control turns on / off the relay contact. Signal for speed control provides at least 2 channels of PWM (Pulse With Modulation) signal, and RS232C, 485, CAN communication etc. for serial communication control . The serial communication controller is for communicating with another spot farm sensor controller or a peripheral controller or an existing greenhouse controller.

  Control commands such as a boiler on-off or temperature control, an illumination on-off, a light control light-shielding film, a ventilation window opening / closing, an on- A control device database is created and stored for each manufacturer and model on a computing server. Wherein the smart palm sensor controller includes an indexing number of the smart palm sensor controller and a maker and a model installed in the spindle palm tray controller. Thus, even when a new output device is connected to the smart palm sensor controller, An output device driven by the index number of the smart palm sensor controller is generated in the server, so that a new device can be driven without modification of the program.

  That is, in the present invention, the cloud computing server connected to the smart pal sensor controller converts the measured current or voltage value of the environment sensor into temperature, humidity, etc., which is an actual environment value, And the output controller can be processed in the database of the cloud computing server by receiving the control command, thereby maximizing compatibility between the sensor and the output device.

  These advantages can be reduced by minimizing the damage of the farm due to the sensor failure of the greenhouse and smart farm control device which is developed and installed without standard, the repair cost due to the malfunction of the controller, and the use of cheap and low cost controller .

  In addition, the cloud computing server of the present invention provides remote support such as opening / closing of the window openings, turning on / off the boiler, and shutting off the power source in a situation such as a typhoon, heavy snowfall or heavy rain, thereby minimizing the damage of the crop due to sudden weather change .

  For example, if a window opens in a heavy rainfall area, it can be closed to reduce the damage. In a heavy snowfall area, the boiler can be operated to prevent the collapse of the greenhouse by melting snow accumulated in the greenhouse. In addition, it is possible to prevent frost due to abrupt temperature drop by turning on the ventilating fan or turning on the boiler, and by controlling the internal environment of the greenhouse and the smart plate so as to avoid the occurrence of the disease, .

  The cloud computing server can directly or indirectly control the smart farm control device to minimize the damage to the greenhouse or the smart farm in the above situation.

  Referring to FIG. 2, a process for designing a smart farm is described. A sensor or a controller to be used in a smart farm is selected in consideration of market share, farm satisfaction, product performance price, and the like. The smart farm control device characteristic table is created by storing the serial number of the smart farm control device in the environment sensor database and the control device database of the cloud computing server in consideration of the specification, the control method, the offset of the sensor, . The data conversion rule (conversion rule or calibration method for converting the sensor value into the actual environment variable value) managed by each smart farm control device is managed using the characteristic table, and the data conversion rule for each device is used for the replacement of the sensor, It can be operated differently by optimizing data conversion rules for each equipment depending on the change or season, climate change, disaster preparedness status, and greenhouse location.

  The present invention has the effect that the existing greenhouse or smart farm system can be continuously used through minimal hardware replacement when it is installed and used in disorder by the means described above and is not communicated with the installer or is not repaired.

  Another advantage of the present invention is that, in a disaster situation or the like, a minimum measure to prevent damages in the case where control of a greenhouse or smart farm user is difficult or when the control situation is not recognized is performed in cloud computing, The damage can be minimized.

Figure 1 shows calibration data of a typical sensor.
FIG. 2 illustrates a structure of an environment sensor and a controller database constructed in a cloud computing server according to the present invention, and a method of using the environment sensor database.
3 is a configuration diagram of the cloud computing server of the present invention in cooperation with the smart palm sensor controller of the present invention using external weather forecast and setting information.

An automatic control or semi-automatic control or a spot farm may or may not include the following configuration. It is equipped with a boiler on / off or temperature control, lighting on / off, light control shade, ventilation opening / closing, ventilator on / off or air volume control, internal circulation fan on / off or rotation speed control, Humidity, airflow, and illuminance installed in a greenhouse or a smart palm using an own controller in the case of automatic control, and compare the set values of installed sensors with the set values of the installed sensors, , An on / off control of an illumination, on / off, a light control shading film, an opening / closing of a ventilation window, an on / off control of an on / off fan, an internal circulation fan on / off or a rotation speed control device.

  The control unit reads out at least one sensor value such as temperature, humidity, air volume, and illuminance and compares the sensor value with the set value stored in the controller to control the boiler on / off or temperature control, illumination on / off, light control light shield, , The internal circulation fan-on-off, or the rotation speed regulator is not difficult for an expert.

  However, there are differences in the operating voltage and output voltage of the temperature, humidity, air flow rate, and ambient light sensor used, and different control programs or different setting values are used for each sensor used. In addition, if the cultivated crop is different, the set value should use another set value.

  The setting value can be adjusted by using a setting button or the like attached to the controller. However, when the type of the sensor is changed, it is generally necessary to modify the control program.

  The present invention proposes the following cloud computing system to solve such a problem.

  In other words, the temperature, humidity, air volume, and illuminance sensor that are installed in advance are used in the same manner, and the sensor value measured by the sensor is analog-digital converted by the smart palm sensor controller to convert the digital sensor value into temperature, humidity, And transmits the measured sensor values to the cloud computing server as it is. In the cloud computing server, a code given to a farm or a greenhouse or the smart palm sensor controller is used as an index, and based on the temperature sensor, the humidity sensor, the airflow sensor, the maker of the ambient light sensor, Reads the sensor calibration data from the database, converts the digital sensor value into an actual value indicative of temperature, humidity, airflow, and illuminance, and transmits the converted value to the smart pal sensor controller.

  The actual environmental variable value is a value converted into ° C for a temperature sensor, a relative humidity% for humidity, Lux for illuminance, and m / s for air volume.

  The set values for controlling the smart palm sensor controller are in ° C for the temperature sensor,% relative humidity for humidity, Lux for illuminance and m / s for air volume.

  Therefore, even if the type of the sensor is changed, the cloud computing server receives the corrected actual environment variable value and compares the actual environment variable value with the set value so that the controller can operate. Therefore, And only need to update the environmental sensor database on the cloud computing server. The set values for the operation of the smart palm sensor controller may be changed by the cloud computing server according to the cultivation time, the type of the crop, the temperature and humidity of the outside air, and the change of the climate, Can be processed by the cloud computing server, so that it is possible not to store the set values in the smart palm sensor controller.

  On the other hand, in some cases, the manufacturer and model of a sensor installed in a greenhouse or smart farm may not be known and only the sensor type may be known. In this case, the sensor of the same type as the manufacturer and model name is known to the calibration sensor terminal included in the smart palm sensor controller, and the sensor of the same type having the calibration data is installed. Can be generated and used by the cloud computing server. The calibration sensor terminal may be provided for at least one sensor type. Even when one calibration sensor terminal is provided, all types of sensors can be calibrated because only the digital converted voltage value is transmitted to the cloud computing server.

   In the smart palm sensor controller, signals for controlling the boiler on / off or temperature control, illumination on / off, light control shading film, ventilation opening / closing, ventilator on / off or air volume control, internal circulation fan on / The signal for speed control is provided with at least 2 channels of PWM (Pulse With Modulation) signal, and RS232C, 485, CAN communication etc. are built in for serial communication control. .

  Control commands such as a boiler on-off or temperature control, an illumination on-off, a light control light-shielding film, a ventilation window opening / closing, an on- And stores it in the control device database for each manufacturer and model in the computing server. The manufacturer and the model are linked with the smart palm sensor controller using the index number of the smart palm sensor controller using the stored data, so that a new output device can be driven without modification of the built-in program of the smart palm sensor controller.

  That is, in the present invention, the environmental sensor is calibrated by the external cloud computing server of the smart palm sensor controller, the environment control setting value is also set by the cloud computing server, and the output controller receives the control command from the database of the cloud computing server So that compatibility between the sensor and the output device can be maximized.

  These advantages are developed without proper standards, and it is a method to reduce the repair cost due to the sensor failure of the installed greenhouse and smart farm control device, the controller failure, and the farmer's damage due to the use of cheap and low cost controller to a minimum will be.

  In addition, such cloud computing servers can minimize damage to crops by providing remote support such as opening / closing of the window openings, turning on / off the boiler, and shutting off the power supply in situations such as typhoons, heavy snow, and heavy rains.

  For example, if a window opens in a heavy rainfall area, it can be closed to reduce the damage. In a heavy snowfall area, the boiler can be operated to prevent the collapse of the greenhouse by melting snow accumulated in the greenhouse.

  The cloud computing server can directly or indirectly control the smart farm control device to minimize the damage to the greenhouse or the smart farm in the above situation.

  Referring to FIG. 2, a process for designing a smart farm is described. A sensor or a controller to be used in a smart farm is selected in consideration of market share, farm satisfaction, product performance price, and the like. The smart farm control device characteristic table is created by storing the serial number of the smart farm control device in the environment sensor database and the control device database of the cloud computing server in consideration of the specification, the control method, the offset of the sensor, . The data conversion rule for each device managed by smart farm control device is managed using this characteristic table. The data conversion rule of each device is changed according to the sensor change, controller change or season, climate change, disaster preparedness state, It can be operated differently by optimizing data conversion rule for each equipment.

150 Temperature
160 Humidity
170 air volume
180 degrees
200 Cloud Computing Servers
210 Smart Farm Sensor Controller
220 Environmental Sensor Database
230 calibration sensor terminal

Claims (4)

The sensor value measured by temperature, humidity, airflow and illuminance sensor is analog-to-digital converted by the smart palm sensor controller to convert the digital sensor value to the cloud computing server without converting it into temperature, humidity, And the cloud computing server receives, as indexes, the code assigned to the smart palm sensor controller, from the environmental sensor database built in the cloud computing server, based on the manufacturer and model name of the temperature, humidity, Reads the temperature, humidity, airflow, and roughness calibration data, converts the digital sensor value into actual environmental variable values indicating temperature, humidity, airflow, and illuminance,
The actual environmental variable value is a value converted into ° C for a temperature sensor, a relative humidity% for humidity, Lux for illuminance, and m / s for air volume,
Wherein the smart palm sensor controller is operated by comparing the calibrated actual environment variable value of the environmental sensor database built in the cloud computing server with the set value even if one or more of the temperature, humidity, air volume, Therefore, even if any one or more of the temperature, humidity, air volume, and ambient light sensors are changed, the Smart Palm sensor controller can be used without modification of the built-in program of the smart palm sensor controller only by updating the sensor type in the environmental sensor database of the cloud computing server Can,
The set values for operation of the driving device linked to the smart palm sensor controller may be changed by the cloud computing server according to the cultivation time, type of crop, change of ambient temperature, humidity, And the cloud computing server processes the comparison between the sensed value for driving the driving device associated with the smart palm sensor controller and the set value so that the Smart Palm sensor controller transmits the sensor value and the result And the driving operation of the driving device linked with the smart palm sensor controller may be performed by the cloud computing server,
The control command of the boiler on-off or temperature control, the lighting on / off, the light control shading film, the opening / closing of the ventilation fan, the fan on / It is stored in the control device database for each manufacturer and model on the server,
The manufacturer and the model are linked with the smart palm sensor controller using the index number of the smart palm sensor controller using the stored data, so that a new output device can be driven without modification of the built-in program of the smart palm sensor controller,
The cloud computing server minimizes the damage of crops by providing remote support for opening / closing of the window openings, turning on / off the boiler, and shutting off the power source in a typhoon, heavy snowfall, and heavy storm situation. The smart cloud control method using the cloud computing and the remote sensor . delete delete delete

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