KR102628346B1 - Smart refrigeration and air conditioning system having IoT control and monitoring system - Google Patents

Abstract

The present invention relates to a smart refrigeration and air conditioning system with IoT control and monitoring functions. The present invention relates to a refrigeration air-conditioning device and an IoT control unit that operates the refrigeration air-conditioning device and connects it so that the Internet of Things function can occur, a sensor unit that is connected to the IoT control unit to obtain sensing information and is controlled according to the external environment, and the IoT It is connected to the control unit and an Internet port, and is provided with a power unit that generates power to the refrigeration air conditioning device by the operation of the IoT control unit, a smartphone for receiving and displaying data from the refrigeration air conditioning device, and the refrigeration air conditioning device in real time. Driving state detection means for detecting the driving state; and a manager terminal that receives sensing data from the driving state detection means and determines whether an abnormal state of the driving cycle exists.

Description

Smart refrigeration and air conditioning system having IoT control and monitoring system}

The present invention relates to a smart refrigeration and air-conditioning system with IoT control and monitoring functions. More specifically, it connects existing air-conditioning and refrigeration devices without IoT (Internet of Things) functions to IoT devices, and connects existing refrigeration and air-conditioning devices without IoT functions to existing refrigeration and air-conditioning devices without IoT functions. This is about a smart refrigeration and air conditioning system with IoT control and monitoring functions that can provide IoT functions.

In general, air conditioning refrigeration devices collectively refer to devices such as refrigerators or air conditioners that maintain a set space at a temperature lower than room temperature by forming an internal refrigeration cycle and circulating refrigerant.

The air-conditioning refrigeration device continuously circulates the refrigerant through compression, heat dissipation, expansion, and heat absorption processes through the compressor, condenser, expander, and evaporator that form the refrigeration cycle, and heat absorbed from the low temperature side where the evaporator is installed through the phase change process of the refrigerant. Discharge to the high temperature side where the condenser is installed.

Among these air-conditioned refrigeration devices, in particular, when the low-temperature side refrigerator or freezer where the evaporator is installed is formed into two or more separate refrigerators, such as kimchi refrigerators, double-door refrigerators, and four-door refrigerators, evaporators are installed in each refrigerator or freezer. An electronic expansion valve is used to automatically control the circulation of the refrigerant.

And, the Internet of Things (IoT) means that all objects in a certain environment have built-in basic sensors, are connected to each other through communication, and collect and receive big data collected in real time by the sensors to perform certain functions or collect data. It is an important technology and service environment that provides new value that did not exist before by analyzing the information provided.

In other words, the most important thing in the Internet of Things (IoT) is not only the simple connection between the Internet and objects, but also the creation of utility value that occurs when objects are connected and exchange information.

In recent years, taking advantage of the infinite development of smart devices, there has been a constant demand for the development of technology for systems that control and monitor air conditioning and refrigeration devices using the Internet of Things (Internet of Things) described above.

Republic of Korea Patent Publication No. 2019-0057019 Republic of Korea Patent Publication No. 2003-0071376 Republic of Korea Patent Publication No. 2011-0030304

In order to achieve this purpose, the present invention plays a role in refrigeration and air-conditioning devices such as air conditioners without smart control functions by adding IoT (Internet of Things) functions to refrigeration and air-conditioning devices through the IoT control unit and the Internet network. The goal is to provide a smart refrigeration and air conditioning system with IoT control and monitoring functions.

In addition, the goal is to provide a smart refrigeration and air-conditioning system that can manage multiple refrigeration and air-conditioning devices through smartphones, etc. by connecting to an Internet network.

In order to achieve this purpose, the present invention is a smart refrigeration and air-conditioning system with IoT control and monitoring functions, which operates a refrigeration air-conditioning device and the refrigeration air-conditioning device, and An IoT control unit that connects the Internet function to occur and a sensor unit that is connected to the IoT control unit to obtain sensed information and is controlled according to the external environment are connected to the IoT control unit and an Internet port, and the IoT control unit operates. A management server that is connected to a network with a power supply unit that generates power to the refrigeration air conditioning device and the IoT control unit, transmits status information of the refrigeration air conditioning device transmitted from the IoT control unit to the outside, and transmits input operation instructions to the IoT control unit; It is characterized in that it includes a terminal that displays and inputs status information of refrigeration and air conditioning devices transmitted from the management server, and transmits the displayed and input operation instructions to the management server.

In addition, the IoT control unit performs control of each unit, an input unit for connecting to the sensor unit to exchange signals, a communication unit for exchanging signals and data with the power unit, an interface unit for interfacing with the input unit and the communication unit, and each unit. It is characterized in that it includes an integrated control unit and an output unit that outputs an output signal for optimal control to the refrigeration and air conditioning device through the integrated control unit.

In addition, the sensor unit includes a temperature and humidity sensor that detects internal temperature and humidity, an air purification sensor that purifies external air and injects it into the indoor space, absorbs and collects suspended substances in the air, a virus detection sensor that detects viruses, and the sensor unit. It is characterized by being composed of a signal transmission unit that transmits sensor information detected in the sensor.

In addition, the sensor unit is characterized in that it further includes a power-off detection sensor for detecting a power supply interruption to the refrigeration and air conditioning device.

Therefore, the present invention connects the power of home appliances such as air conditioners, etc. to smart phones to which IoT (Internet of Things) functions are applied, and connects them to the power supply corresponding to the outlet installed on the wall, etc. to power refrigerators such as air conditioners, air purifiers, turbo refrigerators, etc. It has excellent effects in controlling air conditioning equipment.

In addition, general refrigeration and air-conditioning devices without IoT functions can be easily controlled with terminals such as sensors or smartphones, which reduces power consumption and provides a more comfortable living environment.

Figure 1 is a schematic diagram illustrating a smart refrigeration and air conditioning system with IoT control and monitoring functions according to the present invention.
Figure 2 is a configuration diagram of a smart refrigeration and air conditioning system with IoT control and monitoring functions according to the present invention.
Figure 3 is a configuration diagram of the IoT control unit.
Figure 4 is a photo for explanation of a wireless mesh network.
Figure 5 is a configuration diagram of the air purification unit.
Figure 6 is a configuration diagram of the sensor unit.
Figure 7 is a flowchart of a method for integrated management of refrigeration and air conditioning equipment using an IoT control unit.
Figure 8 is a block diagram showing the detailed configuration of a refrigeration air conditioning device and a management server.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the attached drawings. First, when adding reference numerals to components in each drawing, it should be noted that identical components are given the same reference numerals as much as possible, even if they are shown in different drawings.

Additionally, in the following description of the present invention, if a detailed description of a related known function or configuration is judged to unnecessarily obscure the gist of the present invention, the detailed description will be omitted.

In addition, it should be noted in advance that the terms used in this application are only used to describe specific embodiments, and are not intended to limit the invention, and that singular expressions also mean plural expressions unless the context clearly indicates otherwise. I want to leave it.

1 is a schematic diagram illustrating a smart refrigeration and air-conditioning system with IoT control and monitoring functions according to the present invention, and FIG. 2 is a configuration diagram of a smart refrigeration and air-conditioning system with IoT control and monitoring functions according to the present invention. 3 is a configuration diagram of the IoT control unit, Figure 4 is a photograph for explaining the wireless mesh network, and is a diagram of the air purification unit, Figure 6 is a diagram of the sensor unit, and Figure 7 is a diagram of the configuration of the refrigeration and air conditioning device using the IoT control unit. It is a flowchart of the integrated management method, and Figure 8 is a block diagram showing the detailed configuration of the refrigeration and air conditioning equipment and the management server.

First, as shown in Figure 1, it is a schematic diagram of the smart refrigeration and air-conditioning system of the present invention, which controls a general refrigeration and air-conditioning device without any IoT (Internet of Things) function through various sensors, and a control unit that controls it in this way. This is to create a refrigeration and air-conditioning device that is virtually identical to one with an Internet of Things function by connecting it to a smartphone, etc., to not only prevent power consumption but also provide a more comfortable living environment for people.

Hereinafter, the overall structure of the present invention will be described with reference to FIG. 2.

First, a refrigeration air-conditioning device 100 is shown. The refrigeration air-conditioning device 100 described in the present invention is a typical refrigeration and air-conditioning device without IoT (Internet of Things) and smart control functions, such as air conditioners, air conditioners, and air conditioners. It is a general term for purifiers, refrigerators, turbo refrigerators, etc., and has a configuration that commonly includes a fan (not shown), a filter (not shown), and a coil (not shown) inside.

In addition, the refrigeration air conditioning device 100 may include an outdoor unit (not shown) and a refrigerator (not shown) in addition to an air conditioner (not shown), and a plurality of units are provided to enable multi-operation and individual control. In addition, the indoor air is circulated by controlling basic ventilation, exhaust, outdoor air, and supply air, and the indoor temperature is also controlled by adjusting the temperature.

Since the refrigeration air conditioning device 100 does not have an IoT (Internet of Things) function, the IoT control unit 200 is connected to operate the refrigeration air conditioning device 100 and the IoT (Internet of Things) function is provided. It plays a role in enabling this to occur.

In addition, the IoT control unit 200 and the power unit 400 are configured in the form of a TCP/IP protocol converter (not shown), and the TCP/IP protocol converter is connected to the refrigeration and air conditioning device 100 through an Internet network. .

In addition, the IoT control unit 200 is connected to the Internet network with one or more refrigeration and air conditioning devices 100 through a TCP/IP protocol converter, and the controller (not shown) of the refrigeration and air conditioning devices 100 uses the same communication standard. In connection with this, the operation data of the refrigeration and air-conditioning device 100 is collected and stored for each controller, and the operating instructions entered through the web page or display unit (not shown) of the terminal 600, which will be described later, are sent to the refrigeration and air-conditioning device 100. ) is delivered to. Therefore, when there are multiple refrigeration and air conditioning devices 100, efficient management is possible.

Referring to FIG. 3, the IoT control unit 200 includes an input unit 210 for exchanging signals by connecting to the sensor unit 300, which will be described later, and a communication unit 220 for exchanging signals and data with the power unit 400. It largely consists of an interface unit 230 for interfacing with the input unit 210 and the communication unit 220, and an integrated control unit 240 for controlling each unit.

The input unit 210 is configured to connect to the sensor unit 300 and periodically exchange signals with the sensor unit 300, and the communication unit 220 is a device with which communication is to be performed, such as a terminal 600. ), etc. to exchange signals.

Then, an interface unit 230 with an IoT function is formed. The interface unit 230 is a serial, parallel or serial communication device capable of mutual data communication through a sensor-sensitive wireless network (not shown) as well as a wireless LAN. It is provided as an interface card such as PCI type.

That is, the interface unit 230 ensures smooth two-way communication between the refrigeration and air conditioning device 10 and the sensor detection wireless network, and connects a plurality of sensors such as the temperature and humidity sensor 310, air purification sensor 320, and virus detection sensor. (330), it also serves to operate the sensor unit 300 including the power-off detection sensor 340.

In addition, the interface unit 230 is a general gateway that relays the transmission and reception of information for the Internet of Things (IoT) service between the plurality of sensors and the refrigeration and air conditioning device 100, so it serves as a main controller for building an IoT wireless network. It is also done.

This uses a microprocessor to transmit information for the Internet of Things (IoT) service to each sensor or receive the information from the sensors, transmit information for the Internet of Things service to the smartphone, or transmit information for the Internet of Things (IoT) service to the smartphone. The information is received from the device 100, and the sensor detection wireless network communicates with each sensor to transmit and receive information for the Internet of Things service, and also links with a terminal 600 such as a smartphone, and the refrigeration and air conditioning device ( 100) to transmit and receive information for IoT services and provide it.

To explain this in detail with reference to FIG. 4, this is because the sensor detection wireless network applies a wireless mesh network method as shown. Hereinafter, the wireless mesh network method will be briefly described with reference to the drawings.

In general, a typical wireless LAN environment is one in which a device called a wireless AP (Access Point) and wireless devices such as a laptop PC or PDA can use the Internet using a radio frequency of 24 GHz.

The existing wired network environment shown in the left photo is called an access point (AP), and all APs are connected by wire by connecting signals through a repeater or wireless router. If you look closely at this, the wireless section only consists of the AP and the laptop terminal, and the system (switch) that exchanges actual data with the AP is connected by wire.

Here, when the wireless mesh network applied to the present invention is introduced, it changes as shown in the figure on the right. At this time, a system that forms a wireless mesh network called a mesh node is used instead of the cable connected to the AP, making all sections wireless.

In other words, in the wireless mesh network shown in the picture on the right, when only the representative access point (AP) is connected by wire, wireless communication routers (devices that connect different networks) that act as antennas like existing wireless communication base stations are mesh nodes. This is a method of connecting all sections wirelessly. Therefore, by overcoming the limitations of existing wireless LANs, users can use the entire integrated organic network in a procedure similar to connecting to Wi-Fi.

Therefore, as described above, the sensor detection wireless network communicates in two directions with the sensor unit 300, provides a wireless network environment, and detects a plurality of sensors (310, 320, 330, and 340) formed in the sensor unit 300.

The integrated control unit 240 performs overall control of the input unit 210, communication unit 220, interface unit 230, air purification unit 250, and output unit 260 that constitute the IoT control unit 200. .

The air purification unit 250 supplies purified air to the indoor space to ventilate the indoor air.

Hereinafter, the air purifying unit 250 will be described with reference to the drawings.

Referring to Figure 5, the air purified in the air purification unit 250 is discharged to the outside through the air discharge unit 251, or through a bypass pipe (by-pass) separately connected to the air discharge unit 251. Contaminated air can be re-purified by supplying it through (not shown).

The air purification unit 250 is linked with the fine dust measurement unit 252 and the air pollution measurement unit 253 provided inside using an artificial intelligence algorithm to measure the average amount of fine dust generated and the average size of fine dust. The average production amount of fine dust and the average size of fine dust measured through monitoring are received. The artificial intelligence algorithm collects data on the average production amount and average size of bubbles from the fine merge measurement unit 252, and measures air pollution. After collecting data such as air pollution level and pollution concentration detected at the air discharge unit 251 in the measuring unit 253, according to the average production amount and average size of fine dust, air pollution level and pollution concentration, , controlling the operation status and operating strength of the blower (not shown) of the refrigeration air conditioning device 100, operation of the compressor (not shown), and inflow from the air discharge unit 251 to the bypass pipe, etc. can do.

More specifically, through the fine dust measurement unit 252 and the air pollution measurement unit 253 of the air purification unit 250, data measuring the average value of the amount of fine dust generated and the size of fine dust are collected in time series. It can be received, stored, and the stored data can be processed using an artificial neural network.

More specifically, the artificial neural network is preferably used to estimate the average value of the amount of fine dust generated and the size of fine dust using a RNN (Recurrent Neural Networks) neural network model suitable for processing data accumulated in time series.

More preferably, since the RNN requires recursive training and the training cost (time required for learning to meet the target estimate, etc.) is too high, attention is needed to compensate for this. It is desirable to use additional mechanisms.

In the case of the attention mechanism, the input time series data is encoded, the encoded data is vectorized, and the vector is decoded after passing through the attention mechanism.

More specifically, in the case of the attention mechanism, it can be implemented by multiplying the encoded vectors by an appropriate weight and then going through a normalization function such as softmax.

As a result, in the case of data learned through these RNNs and attention mechanisms, we can focus more on the training data we focus on, allowing us to appropriately maintain the cost and performance of the entire neural network learning.

Therefore, it is possible to process data in a form that is robust to momentary external noise, and as a result, the data measured by the fine dust measurement unit 252, the air pollution measurement unit 253, etc. through the air purification unit 250 Each can be applied and controlled accordingly.

In addition, the air purification unit 250 can monitor and remotely control the air purification process in conjunction with remote control WiFi and the terminal 600, and the fan provided in the refrigeration air conditioner 100 ( (not shown), wind direction adjustment of the blower, notification, etc. can be performed.

Furthermore, the output unit 260 receives instructions from the IoT control unit 200 and outputs an output signal to the refrigeration and air conditioning device 100 through an output control unit (not shown) to ensure optimal operation. A detailed description of optimal control using the output unit 260 will be described later.

In addition, the sensor unit 300 is connected to the IoT control unit 200 to obtain sensor detection information such as temperature and humidity of the room where the refrigeration air conditioning device 100 operates, and external environment (temperature due to external cold, heat, etc.) This is controlled according to.

Hereinafter, the sensor unit 300 will be described in more detail with reference to the drawings.

Referring to FIG. 6, the sensor unit 300 includes a temperature and humidity sensor 310 that detects internal temperature and humidity, and an air purification sensor 320 that purifies external air and injects it into the indoor space to adsorb and collect suspended substances in the introduced air. ), a virus detection sensor 330 that detects a virus, and a signal transmission unit 350 that transmits sensor information detected by the sensor unit 300.

The temperature and humidity inside the indoor space subject to freezing of the refrigeration and air conditioning device 100 are detected through the temperature and humidity sensor 310. The temperature and humidity acquired through the temperature and humidity sensor 310 are provided to the IoT control unit 200 through the signal transmitter 350, which will be described later, and the IoT control unit 200 automatically controls the temperature and humidity.

The air purification sensor 320 supplies purified air to the IoT control unit 200 so that indoor air can be ventilated.

The air purification sensor 320 purifies the air flowing in from the outside, and when it flows into the room, a member (not shown) is formed to adsorb and collect air, which is transmitted through the signal transmitter 350 to the IoT control unit ( 200). Then, the IoT control unit 200 sends a control command to the air purification unit 250 to supply purified air indoors to ventilate the indoor air.

The virus detection sensor 330 generates a sensor signal when a virus at a certain concentration or higher is detected indoors, determines that the air is contaminated, and causes the air purification unit 250 to discharge the contaminated air to the outside.

The signal transmitting unit 350 serves to wirelessly transmit various sensor information detected through the sensor unit 300. It receives the signal transmitted from the signal transmitting unit 350, and the sensor unit 300 ) information from the sensors is transmitted to the IoT control unit 200 based on the signal received through the signal transmission unit 350.

Furthermore, the sensor unit 300 is also provided with a power-off detection sensor 340 to detect power supply or cutoff of the refrigeration and air conditioning device 100. A detailed description of this is omitted as it is a widely known technology.

When the power-off detection sensor 340 detects a power outage, such as electricity, of the refrigeration and air-conditioning device 100, it provides a control request signal to the terminal 600, which will be described later. In this case, control request setting information titled “Request to check power on/off status” is displayed on the screen (not shown) of the terminal 600 through the sensor unit 300.

Accordingly, the user or manager of the refrigeration and air conditioning device 100 can remotely check the current operating status of the terminal 600.

The power supply unit 400 is protocol-connected to the IoT control unit 200 and a TCP/IP Internet port (not shown), and generates power to the refrigeration and air conditioning device 100 by the operation of the IoT control unit 200. It is.

The management server 500 is connected to the IoT control unit 200 and an Internet network, and transmits the status information of the refrigeration and air conditioning device 100 transmitted from the IoT control unit 200 to the terminal 600, and the terminal 600 ) is to transmit the driving instructions input through the IoT control unit 200.

In addition, the management server 500 can display image information from the refrigeration and air conditioning device 100 that is controlled by the IoT control unit 200 and transmit it to the screen (not shown) of the terminal 600.

The terminal 600 can display the status information of the refrigeration and air-conditioning device 100 transmitted from the management server 500 on the screen and transmit the displayed operation instructions to the management server 500. Furthermore, the current status of the refrigeration and air conditioning device 100 can be confirmed in real time by receiving video information from the management server 500. For reference, the terminal 600 can also be replaced with a smartphone, tablet PC, desktop PC, workstation, etc.

Hereinafter, the operational relationship of the smart refrigeration and air conditioning system with IoT control and monitoring functions of the present invention will be described.

The function is acquired through the IoT control unit 200, which does not have a smart control function such as the Internet of Things (IoT), by making the IoT control unit 200 the same as the refrigeration and air conditioning device 100 with the Internet of Things function. , it analyzes and stores information on the refrigeration and air-conditioning device 100 that enters the IoT control unit 200 through the sensor unit 300, and plays a role in controlling it.

The interface unit 230 of the IoT control unit 200 is connected to an Internet network for an interface between several sensors 310, 320, and 350 within the sensor unit 300.

Therefore, based on the Internet of Things, the sensor unit 300 is connected to the Internet network in real time, and the IoT control unit 200 is capable of two-way communication between the sensor unit 300 and the power unit 400, thereby ensuring that the power is turned on. It is also possible to receive and analyze information on conditions such as off, temperature and humidity control of indoor space, air circulation, and dust contained in the air.

In addition, the operating temperature of the refrigeration and air conditioning device 100 can be adjusted through the temperature and humidity sensor 310.

In addition, the power supply unit 400 can be turned on/off remotely through manipulation of the terminal 600 connected to the IoT control unit 200 and the network.

In addition, when insufficient indoor ventilation is detected through the air purification sensor 320, the preset optimal temperature and humidity are maintained through the air purification unit 250 of the IoT control unit 200, and proper ventilation is ensured. .

In addition, the virus detection sensor 330 measures internal foreign substances and reduces carbon dioxide to maintain optimal indoor air quality.

As described above, the monitoring system for refrigeration and air conditioning equipment using the IoT control unit according to the present invention combines Internet of Things (IoT) technology with conventional air conditioning and refrigeration equipment to automatically control temperature and humidity control as well as air cleanliness. , it is possible to lead a smart life through integrated monitoring operations such as fine dust measurement, thereby efficiently operating refrigeration and air conditioning equipment and providing a comfortable and enriched life.

Hereinafter, a method for integrated management of the refrigeration and air conditioning device 100 using the IoT control unit 200 will be described with reference to the drawings.

The purpose of the integrated management method of the refrigeration and air conditioning device 100 is to maximize energy efficiency while optimally maintaining the indoor environment of the building in which it is installed. The integrated management method enables remote integrated management when operating more than one refrigeration and air conditioning device (100).

Referring to FIG. 7, a) the IoT control unit 200 collects operation data of the refrigeration and air-conditioning devices 100 through a TCP/IP protocol converter (not shown) connected to one or more refrigeration and air-conditioning devices 100 and an Internet network. storing, b) transmitting the status information of the refrigeration and air conditioning devices 100 collected from the IoT control unit 200 from the management server 500 to the terminal 600, c) from the management server 500 Step of displaying the transmitted status information of the refrigeration and air conditioning equipment 100 through a web page, etc. in the terminal 600, d) receiving operation instructions of the refrigeration and air conditioning equipment 100 input through the web page of the terminal 600. Step of transmitting to the IoT control unit 200 through the management server 500 and e) storing the operation instructions of the refrigeration and air conditioning devices 100 transmitted from the terminal 600 in the IoT control unit 200 and connecting to the Internet network It includes; delivering to the corresponding refrigeration and air conditioning device 100.

Step a) is a process of collecting driving data. The management server 500 registers an address for a TCP/IP protocol converter, and the IoT control unit 200 searches for and connects to the registered protocol converter.

At this time, the protocol converter collects operation data that reads the temperature and input/output status of each refrigeration and air conditioning device 100 connected to the Internet network.

For example, assuming it is a turbo refrigerator, the operation data includes cold water inlet/outlet temperature, cooling water inlet/outlet temperature, compressor motor oil tank temperature, oil supply temperature, condensation pressure, compressor motor operating current, and compressor main motor opening rate. (%), alarm details, operation/stop details, etc.

It is converted into a single communication standard through the protocol converter and transmitted, and the transmitted operation data is stored as the address of the relevant refrigeration and air conditioning device 100 in the IoT control unit 200 and transmitted to the management server 500.

The IoT control unit 200 collects operation data of the refrigeration and air-conditioning devices 100 in connection with the controller (not shown) of the refrigeration and air-conditioning devices 100 using the same communication standard through the protocol converter and allocates it to each device or controller. Save it in the designated memory area.

The management server 500 receives the operation data, classifies and stores the refrigeration and air-conditioning device 100 by model, capacity and site, and connects to the terminal 600 to store the received refrigeration and air-conditioning device 100. Transmit driving data.

The terminal 600 is capable of analyzing driving data in the form of hourly reports, monthly reports, and yearly reports, and is capable of implementing and reporting data trends on mobile devices and implementing and reporting data trends on a PC WEB browser.

Therefore, the protocol converter is linked to the controller (not shown) of the refrigeration air-conditioning device 100 connected to the Internet network to transmit the operation data of the refrigeration air-conditioning device 100 to the management server 500, and transfers the operation data to the currently operating refrigeration air-conditioning device 100. It is possible to achieve integrated management by making it applicable to .

Below, a drawing will be attached to explain how to optimally control the refrigeration and air conditioning device 100 using artificial intelligence.

Figure 8 is a block diagram showing the detailed configuration of the refrigeration air conditioning device 100 and the management server 500.

Looking at FIG. 8 and FIG. 2 referred to above together, the input unit 210 of the IoT control unit 200 receives various operation information, sensing information, etc. from the refrigeration and air conditioning device 100, and the integrated control unit 240 performs ideal optimized operation. Its role is to provide the relevant information so that it can be done.

Here, the operation information may be information about the operating state, operating conditions, input/output information, etc. during operation of the refrigeration and air conditioning device 100.

The data unit (D) manages driving information including driving status, driving conditions, etc. and sensing information collected from the sensor unit 300, and has the function of storing real-time driving data and comparing and reviewing it with past data. Information on the comparative review results is provided to the control unit 240. In addition, the data section (D) provides the relevant information to the terminal 600 and the management server 500 so that the management server 500 can perform various analyses.

The integrated control unit 240 has a function to determine the optimal operating state based on data from the data unit D and to issue an operation command to the output unit 260 after the judgment.

The output unit 260 receives instructions from the integrated control unit 240 and outputs an output signal to the output control unit (not shown) to ensure optimized operation.

The communication unit 220 can externally transmit various information for controlling the refrigeration air conditioner 100 provided by the data unit D, for example, operation information of the refrigeration air conditioner 100 and sensing of the sensor unit 300. Information, etc. can be transmitted to the management server 500 or the terminal 600 through a communication network. Here, the communication network can be a remote communication network or an Internet network. Additionally, the communication unit 220 may receive update information for updating the integrated control unit 240 using a program learned from the management server 500.

The management server 500 or terminal 600 receives and monitors driving information and various sensing information in real time, and the management server 500 generates fan (not shown) performance charts and provides them to the terminal 600. It can perform various driving analyzes and also provide an interface screen for remote control.

The monitor (not shown) of the terminal 600 uses a touchpad and provides a GUI-type interface, allowing access to driving information, sensing information, and various analysis information provided from the management server 500. For each image of information, the corresponding information can be accessed by a touch command.

As shown in FIG. 8, the management server 500 further includes a control unit 510, an information unit 520, a public information unit 530, and a learning unit 540.

Since the control unit 510 has a function to collect and analyze various operation information and sensing information provided by the IoT control unit 200, it provides an operation warning based on status information of the refrigeration and air conditioning equipment to the terminal 600, Implement maintenance suggestions.

In addition, the control unit 510 provides operating cost analysis for the overall operation, and stores all various collected information in the information unit 520 to track and manage data history.

The control unit 510 may include a communication module (not shown) with a built-in communication protocol compatible with the communication unit 220 to receive driving information and sensing information from the IoT control unit 200 through a communication network.

The information unit 520 serves as a type of database that stores various information, including driving information and sensing information, and may be provided in plural numbers to classify and store information by attribute and type.

The public information department 530 collects public information from external organizations necessary for the operation of the refrigeration and air-conditioning device 100 and assists efficient operation through machine learning.

Here, public information refers to environmental data provided by external organizations on networks such as the Internet. External organizations can be the Korea Meteorological Administration, Weather Forecast Center, etc., and public information provided by such external organizations includes, for example, weather information and yellow dust. It can be information, fine dust information, gas pollution information, etc.

The learning unit 540 is responsible for creating an accurate predictive cooperation pattern through machine learning analysis including the driving information and sensing information stored in the information unit 520 and public information in the public information unit 530.

In other words, the management server 600 prevents the coil from freezing in the winter for the refrigeration air conditioner 100 through internal algorithms and analysis information analyzed from the sensing information collected by the learning unit 540 and provides information through the information. Enthalpy control is performed according to indoor and outdoor conditions to use optimal energy.

Specifically, the learning unit 540 performs machine learning based on an artificial intelligence algorithm using sensing information such as temperature and humidity information and wind volume information included in the sensing information, and generates predictive driving information to enable optimized driving. can do.

In addition, the learning unit 540 may calculate the error of the sensing information based on the sensing information so that accurate temperature, humidity level, and wind volume information can be predicted in the future.

Here, the artificial intelligence algorithm can, for example, apply the support vector machine (SVM) algorithm, and in addition to the above-mentioned artificial intelligence algorithm, neuromorphic learning, deep neural network (DNN), or synthesis are used. Several types of artificial intelligence algorithms can be used, such as product neural network (CNN) or recurrent neural network (RNN) artificial intelligence methods. The support vector machine algorithm is one of the supervised learning machine learning methods mainly used for classification, regression, and outliers detection. For example, among several methods to distinguish two groups of data sets, being able to accurately distinguish the midpoint of the maximum distance of each group can be said to be the optimal way to increase classification accuracy.

In particular, the support vector machine algorithm is known as an optimized method for finding an optimal decision boundary that can clearly distinguish multiple dimensions for data with multiple dimensions.

In addition, when applying the support vector machine algorithm as described above to data acquired from sensors, the number of machine learning training increases as the data transmitted from sensors gradually accumulates, and as a result, the modeling obtained through training increases. The accuracy gradually increases. This characteristic is that, while analysis techniques through specific mathematics or statistical modeling always have a certain level of prediction error rate, the prediction error rate can gradually improve as the number of training increases, which is a major advantage of modeling through machine learning techniques. This is an advantage.

As a result, when the above-described matrix is analyzed and predicted using the support vector machine algorithm, the pattern of the sensed temperature and humidity information and wind volume information can be predicted, and the optimized operating conditions or sensor error are calculated using the pattern. And through this, accurate prediction values of temperature and humidity information and wind volume information required for optimized operation can be predicted.

In addition, the predicted values are collected and stored in the information unit 520, making it possible to further increase prediction accuracy over time using accumulated big data information.

Furthermore, the operation frequency information of the rotating body such as the motor provided in the fan of the refrigeration air conditioning device 100 is provided to the management server 500, and the cause of vibration can be analyzed by analyzing based on the provided information. The learning unit ( 540) can analyze the error pattern when an error occurs due to noise or disturbance in the operating frequency information and predict that an accurate analysis of the cause of vibration will be performed according to the degree of error.

In addition, the learning unit 540 can determine whether the sensor's performance has deteriorated or failed through the error pattern of the sensor through learning. A reference comparison pattern for making this determination may be stored in advance, and the reference comparison pattern is a basic This can be the error tolerance range of the sensor provided at the time of shipment, and the range of the reference comparison pattern can be periodically updated through learning.

Additionally, even if the error pattern of the sensor is outside the standard comparison pattern range, the learning unit 540 can utilize the failure counter to eliminate errors in determining failure due to temporary errors. The failure counter is a method of determining a failure or performance deterioration and notifying the control server or administrator terminal only when the error pattern of the sensor is greater than the standard comparison pattern more than a certain number of times (standard counter value). In the case of this method, the possibility of misjudgment due to the above-mentioned temporary noise can be reduced by determining errors in a recursive manner. In addition, the above-mentioned failure counter is reset to 0 when the operation time exceeds a certain range, or reset to 0 when the corresponding sensor is turned off, which can cause problems that may occur as the counter value continues to accumulate. You can also prevent them.

In addition, the values predicted from the learning unit 540 allow precise remote control of the refrigeration and air conditioning device 100 through the IoT control unit 200 to perform optimized operation based on accurate temperature and humidity information and wind volume information in the management server 500. Make it possible.

To this end, the information unit 520 can convert the collected driving information, sensing information, and predicted values into big data, and collect driving information, sensing information, etc. to improve prediction accuracy through machine learning based on the artificial intelligence algorithm of the learning unit 540. The collected data can be stored and provided.

Furthermore, the learning unit 540 provides the control unit 510 with updated information on optimal driving conditions based on the learned pattern, allowing the IoT control unit 200 to be updated. In addition, the control unit 510 verifies the learned optimized operating conditions and provides the corresponding algorithm to the IoT control unit 200 to control the refrigeration and air-conditioning equipment using an algorithm for the final operating conditions as a result of the learning. Perform an update.

The management server 500 or the terminal 600 receives and monitors driving information and various sensing information in real time, and generates a fan performance display chart in the management server 500 and monitors the monitor (not shown) of the management server 500. It can be provided to the terminal 600, and an interface screen for various remote controls can be provided through an application (APP: not shown) installed on the terminal 600.

Those skilled in the art to which the present invention pertains as described above will understand that the present invention can be implemented in other specific forms without changing its technical idea or essential features. Therefore, the above-described embodiments should be understood as illustrative and not restrictive.

The scope of the present invention is indicated by the appended claims rather than the detailed description above, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present invention. do.

100: Refrigeration air conditioning device 200: IoT control unit
210: input unit 220: communication unit
230: Interface unit 240: Integrated control unit
250: air purification unit 251: air discharge unit
252: Fine dust measurement unit 253: Air pollution measurement unit
260: output unit
300: Sensor unit 310: Temperature and humidity sensor
320: Air purification sensor 330: Virus detection sensor
340: Power off detection sensor 350: Signal transmission unit
400: Power unit D: Data unit
500: Management Server 510: Control Department
520: Department of Information 530: Department of Public Information
540: Learning unit 600: Terminal

Claims (4)

Refrigeration and air conditioning equipment;
An IoT control unit that operates the refrigeration and air conditioning equipment and connects it to enable IoT functions;
A sensor unit connected to the IoT control unit to acquire indoor temperature and humidity detection information when the refrigeration and air conditioning device operates and to control it according to the external environment;
A power unit connected to the IoT control unit and an Internet port and generating power to the refrigeration and air conditioning device by operation of the IoT control unit;
A management server connected to the IoT control unit through a network, transmitting status information of the refrigeration and air conditioning device delivered from the IoT control unit to the outside, and delivering input operating instructions to the IoT control unit; and
It includes a terminal that displays and inputs status information of refrigeration and air-conditioning devices transmitted from the management server, and transmits the displayed and input operating instructions to the management server,
The management server includes a control unit 510, an information unit 520, a public information unit 530, and a learning unit 540,
The control unit 510 collects and analyzes the operation information and sensing information provided by the IoT control unit 200, and transmits operation warnings and maintenance signals based on status information of the refrigeration and air conditioning equipment to the terminal 600,
The information unit 520 is a database that stores various information including driving information and sensing information, and the information unit 520 is provided in a plurality to classify and store information,
The public information department 530 collects and operates public information from external organizations,
The learning unit 540 generates a predicted air conditioning pattern through machine learning analysis using the driving information and sensing information stored in the information unit 520 and public information from the public information unit 530,
The learning unit 540 uses a failure counter to eliminate the error of judging a temporary error as a failure, and the failure counter determines a failure or performance deterioration when the error pattern of the sensor is greater than the reference counter value or the reference comparison pattern. In a smart refrigeration and air conditioning system with IoT control and monitoring functions, which is characterized by notifying the control server or manager terminal,

The IoT control unit
An input unit for connecting to the sensor unit to send and receive signals;
a communication unit for exchanging signals and data with the power unit;
an interface unit for interfacing with the input unit and the communication unit;
an integrated control unit for controlling each part;
It includes an output unit that outputs an output signal for optimal control to the refrigeration air conditioning device through the integrated control unit,

The IoT control unit 200 is connected to the sensor unit 300, which will be described later, and includes an input unit 210 for exchanging and receiving signals, a power unit 400, a communication unit 220 for exchanging signals and data, and the input unit 210. It is composed of an interface unit 230 for interfacing with the communication unit 220 and an integrated control unit 240 for controlling each unit,
The interface unit 230 is equipped with a serial, parallel, or PCI interface card capable of mutual data communication through a sensor-sensitive wireless network (not shown) as well as a wireless LAN,
The interface unit 230 ensures smooth two-way communication between the refrigeration and air conditioning device 10 and the sensor detection wireless network, and includes a plurality of sensors such as a temperature and humidity sensor 310, an air purification sensor 320, and a virus detection sensor ( 330), operates the sensor unit 300 including the power-off detection sensor 340, and relays transmission and reception of information for Internet of Things (IoT) services between the plurality of sensors and the refrigeration and air conditioning device 100 And
The sensor unit includes a temperature and humidity sensor that detects internal temperature and humidity, an air purification sensor that purifies external air and injects it into the indoor space, absorbs and collects suspended substances in the air, and a virus detection sensor that detects viruses and detects them in the sensor unit. It consists of a signal transmission unit that transmits sensor information,
The sensor unit further includes a power-off detection sensor for detecting power supply or cutoff of the refrigeration air conditioning device,
Through the fine dust measurement unit 252 and the air pollution measurement unit 253 of the air purification unit 250, data measuring the average value of the amount of fine dust generated and the size of fine dust are received and stored in time series. , the stored data is processed using an artificial neural network,
The artificial neural network is a smart refrigeration and air conditioning system with IoT control and monitoring functions, characterized in that it estimates the average value of the amount of fine dust generated and the size of fine dust using a RNN neural network model suitable for processing data accumulated in time series.
delete delete delete

Images