KR20230141337A - control method and data monitoring method of air compressor controller - Google Patents

Abstract

The control method and data monitoring method of the air compressor controller according to the present invention are connected between the air compressor and a reserve tank that temporarily stores air, and include operation time, flow rate, power consumption, discharge pressure of the compressor, and the reserve tank. Monitoring and collecting storage pressure in real time; Based on the collected data, the individual efficiency values and individual SER values (the amount of power consumed to produce 1 ㎥ air) of multiple air compressors are calculated, and the individual efficiency values and the individual SER values are calculated as standard efficiency values (air compressor manufacturer efficiency). value) and comparing each with a standard SER value; Comparing the flow rate, the individual efficiency value, the individual SER value, the discharge pressure, and the storage pressure with a specific operation pattern in a database at the relevant operation time and outputting them; And it may include visualizing and providing operation information of the plurality of air compressors online.

Description

Control method and data monitoring method of air compressor controller {control method and data monitoring method of air compressor controller}

The present invention relates to a method of controlling and monitoring an air compressor controller that analyzes and predicts operation trends and loads. More specifically, it checks not only the amount of power but also changes in operation trends and loads and saves energy by comparing them with databased operation patterns. This relates to a control method of an air compressor controller that analyzes and predicts possible operation trends and loads, and a data monitoring method for operation information on multiple air compressors.

Recently, the government has concentrated its budget on smart factory construction and advancement projects, and projects related to energy saving and systems linked to smart factory solutions and facilities are being carried out to realize smart manufacturing factories.

Unlike regular factories, smart factories can be applied across all fields of industry using various sensors, robotics control systems, artificial intelligence, data collection, analysis, and pattern algorithms that are optimized for factory operation and control.

As part of this, various products and services are provided under the FEMS (Factory Energy Management System) environment to improve energy efficiency through real-time expansion of consumer energy and consumer energy analysis centered on flexible energy demand management to improve the efficiency of power supply and demand. It is becoming.

However, most of these measures only manage the maximum power of power facilities based on real-time monitoring at the factory level, and multiple air compressor control devices based on this are provided, as well as the usage, operation trends, and workload of the air compressors. It is difficult to establish an efficient control method based on actual power consumption patterns such as these.

The present invention was proposed to solve the above problems, and allows individual control of multiple air compressors based on actual power consumption patterns such as usage, operation trends, and workload of the air compressors, enabling FEMS for small and medium-sized factories. It provides a control method for an air compressor controller that analyzes and predicts operation trends and loads that can lead to excellent energy savings in the environment, and a method for monitoring operation information data for multiple air compressors.

The present invention was proposed to solve the above problems, and is connected between the air compressor and a reserve tank for temporarily storing air, and includes operating time, flow rate, power consumption, discharge pressure of the compressor, and storage of the reserve tank. Monitoring and collecting pressure in real time; Based on the collected data, the individual efficiency values and individual SER values (the amount of power consumed to produce 1 ㎥ air) of multiple air compressors are calculated, and the individual efficiency values and the individual SER values are calculated as standard efficiency values (air compressor manufacturer efficiency). value) and comparing each with a standard SER value; Comparing the flow rate, the individual efficiency value, the individual SER value, the discharge pressure, and the storage pressure with a specific operation pattern in a database at the relevant operation time and outputting them; and providing a control method and data monitoring method for an air compressor controller, including the step of visualizing and providing operation information of the plurality of air compressors online.

It may further include controlling the operation time of the corresponding air compressor according to the matched operation pattern.

The step of controlling the operation time is triggered when any one of the individual efficiency value and the individual SER value is relatively lower than the standard efficiency value (efficiency value of the air compressor manufacturer) and the standard SER value in a specific operation pattern in the database. You can.

The step of controlling the operation time may be triggered depending on the relative ratio of the discharge pressure to the storage pressure.

The step of controlling the operation time may be performed according to the relative ratio of the flow rate collected per unit time to the manufacturer's standard maximum flow rate.

The specific driving pattern can be classified by driving time of the collected data, and the classified data can be stored using data mining techniques.

The control method and data monitoring method of the air compressor controller according to the present invention can individually control a plurality of air compressors based on the actual power consumption patterns such as usage, operation trend, and workload of the relevant air compressor, so that small and medium-sized factories can It can provide excellent energy savings in a FEMS environment.

In addition, in the control method and data monitoring method of the air compressor controller according to the present invention, operation information for a plurality of air compressors can be easily provided online.

Figure 1 is a schematic configuration diagram of an air compressor operation system that can analyze and predict operation trends and loads and provide operation information for a plurality of air compressors according to an embodiment of the present invention.
Figure 2 is a flowchart of a control method of an air compressor controller according to an embodiment of the present invention.
Figure 3 is a graph to explain changes in the efficiency of the air compressor during operation of the air compressor operation system.
Figure 4 is an example of a GUI (Graphic User Interface) of an online site provided according to a data monitoring method of an air compressor controller in the air compressor operation system according to the present invention.

Hereinafter, an embodiment of an air compressor control method for analyzing and predicting operation trends and loads according to the present invention will be described in detail with reference to the attached drawings.

Figure 1 is a schematic configuration diagram of an air compressor operation system that can analyze and predict operation trends and loads and provide operation information for a plurality of air compressors according to an embodiment of the present invention.

Figure 2 is a flowchart of a control method of an air compressor controller according to an embodiment of the present invention.

Figure 3 is a graph to explain changes in the efficiency of the air compressor during operation of the air compressor operating system.

Figure 4 is an example of a GUI of an online site provided according to a data monitoring method of an air compressor controller in the air compressor operation system according to the present invention.

As shown in FIG. 1, the air compressor system that analyzes and predicts operating trends and loads according to an embodiment of the present invention may include a plurality of air compressors (110, 120, and 130) connected in parallel. A plurality of air compressors 110, 120, and 130 may be connected to one or more pipelines to provide compressed air adjusted to a specific pressure.

And, a reserve tank 100 may be connected to this pipeline. The reserve tank 100 stores or temporarily stores compressed air, and can supply compressed air to the output side as needed. For example, the compressed air stored in the reserve tank 100 may be compressed air produced and supplied by the air compressors 110, 120, and 130.

Various sensors, that is, the discharge pressure gauge 211, the flow meter 212, and the power meter 213, may be connected between the corresponding air compressor (110, 120, 130) and the reserve tank 100 for storing air. The discharge pressure gauge 211, flow meter 212, and power meter 213 are provided for each air compressor and can sense whether the corresponding air compressor is operating.

These discharge pressure gauges 211, flow meters 212, and power meters 213 may be connected to the controller 300 through a network.

The controller 300 can control the pressure and flow rate of compressed air supplied by the pipeline. For this purpose, the controller 300 may include a data collection unit 310, an analysis unit 320, and an output unit 330. In this specification, it is simply called a controller, but in reality, the controller operates a plurality of air compressors. It is an air compressor controller for controlling.

Through this controller 300, compressed air of a constant pressure is provided by selectively controlling the air compressor according to operation time, pressure, and flow rate.

Referring mainly to FIG. 2, the control method of the air compressor controller that analyzes and predicts the operation trend and load by the air compressor system of this configuration is connected between the air compressor and the reserve tank 100 that temporarily stores air, Monitoring and collecting in real time the operating time, flow rate, power consumption, discharge pressure of the compressor (110, 120, 130), and storage pressure of the reserve tank (100) (S100); Based on the collected data, the individual efficiency values and individual SER values (amount of power consumed to produce 1 ㎥ air) of the multiple air compressors (110, 120, 130) are calculated, and the individual efficiency values and individual SER values are calculated as standard. Comparing the efficiency value (efficiency value of the air compressor manufacturer) with the standard SER value (S200); and comparing the flow rate, the individual efficiency value, the individual SER value, the discharge pressure, and the storage pressure with a specific operation pattern in a database at the relevant operation time (S300); And it may include a step (S700) of controlling the operation time of the corresponding air compressor (110, 120, 130) according to the matched operation pattern.

The step of monitoring and collecting in real time (S100) is the pressure measured by installing the discharge pressure gauge 211, flow meter 212, and power meter 213 on the output side of the individual air compressors that make up the plurality of air compressors, and the pressure per unit time. Operation information such as flow rate and power amount is collected and stored in the data collection unit.

The comparing step (S200) calculates individual efficiency values and individual SER values (amount of power consumed for production of 1 ㎥ air) of the plurality of air compressors (110, 120, and 130) based on the collected data, and calculates the individual efficiency values. The individual SER values can be compared with standard efficiency values (air compressor manufacturer efficiency values) and standard SER values, respectively.

In other words, the individual efficiency value and individual SER value of the relevant air compressors (110, 120, 130) are calculated. The efficiency value is calculated as the flow rate that can be produced with 1 [kW] of power as shown in Equation 1 below.

Additionally, individual SER values use Equation 2 below.

And the standard efficiency value (air compressor manufacturer efficiency value) and standard SER value (air compressor manufacturer SER value) can be determined by specifications.

Next, in the output step (S300), the flow rate, the individual efficiency value, the individual SER value, the discharge pressure, and the storage pressure may be compared with a specific operation pattern on a database and output at the relevant operation time. In other words, it can be converted into a database.

Here, the database can be created in advance and the driving pattern can be saved. Each driving pattern can be classified according to driving time, and then various sensing values can be listed and stored.

Next, a step (S700) of controlling the operation time of the corresponding air compressor (110, 120, 130) according to the matched operation pattern may be performed.

In the step of controlling the operation time (S700), one of the individual efficiency value and the individual SER value is relatively higher than the standard efficiency value (efficiency value of the air compressor manufacturer) and the standard SER value in the specific operation pattern in the database. In this case, it may be triggered (S400).

In this case, the individual efficiency values of each air compressor (110, 120, 130) constituting the plurality of air compressors (110, 120, 130) are compared and confirmed with the individual standard values indicated on the nameplate to identify a low-efficiency air compressor. Determine.

Next, cross-check the relative ratio of the discharge pressure to the storage pressure (S500).

Next, the flow rate collected per unit time may be activated according to the relative ratio with the maximum flow rate based on the manufacturer (S600).

If all of the above conditions are satisfied, a step of controlling the operation time of the relevant air compressor (110, 120, 130) is performed. The operation of the relevant air compressor (110, 120, 130) is paused for a preset time interval or Alternatively, a method of setting the operation time at intervals or turning off the power may be devised.

For example, when the individual efficiency value of the air compressor (110, 120, 130) is higher than the standard value and the individual SER value is less than the average SER value, that is, when both the individual efficiency value and the SER value are operated within the normal range, the operation Monitor continuously while collecting information.

Next, if the efficiency value or SER value of the air compressor (110, 120, 130) is high, the next step is performed.

Cross-check the relative ratio of the discharge pressure to the storage pressure of the relevant air compressor (110, 120, 130), and if it is within a preset ratio, the flow rate collected per unit time of the relevant air compressor is relative to the maximum flow rate based on the manufacturer. After determining whether the ratio is within a preset ratio, if all of the above conditions are met, the power of the corresponding air compressor (110, 120, 130) is controlled.

Accordingly, the volatility is maintained within a certain range as shown in (a) to (b) of FIG. 3, and, for example, power efficiency of 74% or more can be achieved.

The specific driving pattern can be classified by driving time of the collected data, and the classified data can be stored using data mining techniques. Specific patterns are classified by time, and an index can be provided.

Through this stage configuration, a plurality of air compressors (110, 120, 130) can be individually controlled based on actual power consumption patterns such as usage or operation trends of the corresponding air compressors (110, 120, 130), enabling small and medium-sized factory units. Energy savings can be excellent in a FEMS environment.

According to the monitoring method of the air compressor controller shown in FIG. 4, operators of a plurality of air compressors can receive the accumulated power of the relevant air compressor by day/month/year through numerical values and graphs through an online site, and You can see that you can check the real-time voltage, current, instantaneous power, input, temperature, and operating frequency corresponding to the air compressor.

In addition, the operator of the air compressor in operation can download and use the various operation information described above. In the example of FIG. 4, the various driving information can be downloaded as an Excel file, but the present invention is not limited to this.

In this way, by using the data monitoring method of the air compressor controller according to the present invention, operators of a plurality of air compressors can easily receive operation information of the corresponding air compressors online.

Above, the present invention has been described in detail using preferred embodiments, but the scope of the present invention is not limited to the specific embodiments and should be interpreted in accordance with the appended claims. Additionally, those skilled in the art should understand that many modifications and variations are possible without departing from the scope of the present invention.

100: Reserve tank 110,120,130: Air compressor
201: storage pressure gauge 211: discharge pressure gauge
212: flow meter 213: power meter
300: Controller 310: Data collection unit
320: analysis unit 330: output unit

Claims (6)

Connected between the relevant air compressor and a reserve tank for temporarily storing air, monitoring and collecting in real time the operation time, flow rate, power consumption, discharge pressure of the compressor, and storage pressure of the reserve tank;
Based on the collected data, the individual efficiency values and individual SER values (the amount of power consumed to produce 1 ㎥ air) of multiple air compressors are calculated, and the individual efficiency values and the individual SER values are calculated as standard efficiency values (air compressor manufacturer efficiency). value) and comparing each with a standard SER value;
Comparing the flow rate, the individual efficiency value, the individual SER value, the discharge pressure, and the storage pressure with a specific operation pattern in a database at the relevant operation time and outputting them; and
A control method and data monitoring method for an air compressor controller, including the step of visualizing and providing operation information of the plurality of air compressors online. According to paragraph 1,
A control method and data monitoring method for an air compressor controller, further comprising controlling the operation time of the corresponding air compressor according to the matched operation pattern. According to paragraph 2,
The step of controlling the operation time is triggered when any one of the individual efficiency value and the individual SER value is relatively lower than the standard efficiency value (efficiency value of the air compressor manufacturer) and the standard SER value in a specific operation pattern in the database. A control method and data monitoring method of an air compressor controller, characterized in that. According to paragraph 3,
The control method and data monitoring method of an air compressor controller, characterized in that the step of controlling the operating time is activated according to a relative ratio of the discharge pressure to the storage pressure. According to clause 4,
The control method and data monitoring method of an air compressor controller, wherein the step of controlling the operating time is activated according to a relative ratio of the flow rate collected per unit time to the maximum flow rate based on the manufacturer. According to clause 5,
A control method and data monitoring method for an air compressor controller, characterized in that the specific operation pattern is classified according to the operation time of the collected data and the classified data is stored using a data mining technique.

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