KR20220134230A - Monitoring server having accident prevention monitering function, and air pump management system using the monitoring server - Google Patents

Abstract

The present invention relates to a control server having an accident prevention monitoring function and an air pump management system using the same. According to the present invention, measurement values are converted into different character strings by applying a criterion according to the surrounding environment, and pattern analysis is performed through this, so that failure or replacement time can be more accurately predicted.

Description

A control server having an accident prevention monitoring function and an air pump management system using the same

The present invention relates to a control server having an accident prevention monitoring function and an air pump management system using the same, and more particularly, to a technology capable of determining whether there is an abnormality in equipment through accurate pattern analysis.

Monitoring technology that analyzes the pattern of the sensor signal to determine whether there is a failure or predicts the replacement time in advance so that the inspection can be performed is being used in various fields. One of them is the technology to monitor the condition of the air pump that controls the valve of the ship.

As the international community's interest in environmental pollution has been focused, the International Maritime Organization has significantly strengthened the regulations related to ship exhaust gas and regulated the sulfur content of ship fuel oil to 0.1% or less when anchoring or entering the emission control zone. In the regulatory zone, the sulfur content of marine fuel oil was regulated from 3.5% to 0.5% or less.

As a countermeasure against this, low-sulfur oil or LNG is used as a fuel for ships, or a scrubber is installed in the exhaust line to carry out desulfurization work.

In the method using the scrubber, which is the method by the above facility, the main core parts include a bypass valve that determines the discharge path of exhaust gas and a scrubber valve. Not required. Therefore, the scrubber valve and the bypass valve are frequently opened and closed according to the environment so that the desulfurization process is performed in the scrubber as necessary.

However, since it is very difficult for an individual of a crew member to recognize the situation at the time of switching the valve and perform an accurate operation, a switching system is applied through automatic recognition. The automatic switching system smoothly discharges exhaust gas in normal operation, but there is a problem in that a large amount of sulfur compounds can be discharged when parts malfunction due to abnormal signs. Since these malfunctions are caused by abnormal operation of major parts, it is necessary to predict and respond to them in advance.

In particular, in the case of an air seal type valve, it is necessary to check whether the parts are operating normally because an actuator and an air injection pump are provided. The need for a system that can complete the inspection in advance is emerging.

As a method of analyzing a sensor signal to determine whether there is an abnormality in the equipment, a method of comparing the total amount of energy through a value measured in a certain section or an average value comparison method is mainly used. However, it is inconvenient to check whether the sensor signals collected from the equipment are in the same environment, and there is a high possibility of detection error in the case of comparing the total amount of energy or the average value.

1 is a table for explaining an example of a process in which a pattern analysis is performed in a total energy comparison or average value comparison method. In FIG. 1 , the total amount of energy and the average of the measured values A to D for the time 1 to time 3 sections are the same. Therefore, when the conventional method is applied, there is a possibility of erroneously judging that the patterns of the measured values A to D are the same for the time 1 to time 3 section. Furthermore, although standards for the measurement environment may be different, there is a problem in that pattern analysis is not performed by applying different standards in the existing pattern analysis method.

Meanwhile, as a prior art for monitoring a ship's air pump, there is Korean Patent Application Laid-Open No. 10-2014-0042050 (2014.04.07. 'A failure detection module for a ship's diaphragm-driven air pump and its operation method').

The present invention has been devised to solve the problems of the prior art as described above, and by applying the criteria according to the surrounding environment to perform pattern analysis on the measured values, it is possible to accurately predict the failure or replacement time. Its purpose is to provide technology.

A control server having an accident prevention monitoring function according to the present invention for achieving the above object includes: a string conversion unit for converting a measured value collected from sensors or a pre-established measured value into a character string according to a standard according to a change in the surrounding environment; and a character string comparison unit for confirming a specific pattern through comparison of a predetermined section of the character string converted by the character string converting unit.

Here, the prediction module for outputting information by predicting the replacement time by using the specific pattern identified in the character string comparison unit; may further include.

On the other hand, the air pump management system for achieving the above object, the air pump to regulate the valves; a sensor for measuring the current, voltage or temperature of the air pump; a control device for controlling the air pump through the information measured by the sensor and transmitting the measured values of the sensor to a control server; and the control server receiving the measured values of the sensor from the control device and confirming a specific pattern through the measured values.

According to the control server having an accident prevention monitoring function according to the present invention and the air pump management system using the same, an IOT type current sensor, a voltage sensor, and a temperature sensor are installed in an air pump that operates a valve that regulates the movement path of exhaust gas. Install and provide each numerical value in real time, monitor the change of the numerical value and provide information on cause identification and inspection in preparation for big data when abnormal changes occur, and expand big data by linking with servers of other ships and parts manufacturers It is possible to prevent accidents that may occur due to an abnormality of the air pump in advance by predicting parts failure information, providing information on the relevant parts, and providing response information on the inspection timing and parts replacement timing.

In particular, in the present invention, pattern analysis is performed through string comparison in which measured values are converted by applying different standards, so even if actual measured values appear different, accurate pattern analysis is possible through strings corrected for changes in the surrounding environment. .

1 is a diagram for explaining an error in a conventional pattern analysis method;
2 is a block diagram illustrating a control server and an air pump management system using the same according to an embodiment of the present invention.
FIG. 3 is a view for explaining a process in which text conversion of measured values is performed according to application of a standard for pattern analysis in the control server shown in FIG. 2; FIG.
4 is a view for explaining a process of performing pattern analysis through a character string converted according to the application of a standard in the control server shown in FIG.
Figure 5 is a block diagram for explaining the interworking state of the control server, other servers and parts manufacturer servers in the air pump management system shown in Figure 2;
Figure 6 is a block diagram for explaining the configuration of the control server in the air pump management system shown in Figure 2;

Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings. However, some components irrelevant to the gist of the present invention will be omitted or compressed, but the omitted configuration is not necessarily a configuration that is not necessary in the present invention, and it will be used in combination by those of ordinary skill in the art to which the present invention belongs. can

In addition, each component, server, and system to be described below do not necessarily consist of an independent component or server that performs each function, and is implemented as a set of one or more programs, one or more servers, or one or more systems, or a part Note that it may be shared.

2 is a block diagram illustrating a control server having an accident prevention monitoring function and an air pump management system using the control server according to an embodiment of the present invention. The control server 80 according to the embodiment of the present invention collects information from various sensors through the control device 70 and compares and analyzes existing data and patterns to determine whether there is an abnormality may be applied in other fields. . However, below, an example in which the control server 80 according to an embodiment of the present invention is applied to an air pump management system will be described.

As shown in Figure 2, the air pump management system is an exhaust pipe 30 for transferring the exhaust gas generated from the marine engine 20 to the scrubber 50, and the exhaust gas branched from the exhaust pipe 30 and transferred to the outside. The bypass pipe 40 for direct discharge, the scrubber valve 31 installed in the exhaust pipe 30 between the branch point and the scrubber 50, and the bypass valve 41 installed in the bypass pipe 40, The air pump 60 for controlling the valves 31 and 41, the valves 31 and 41, the air pump 60, or the sensor 32 installed in the exhaust pipe 30 or the bypass pipe 40 to collect information , 33, 42, 43, 61, 62, 63) and the sensor (32, 33, 42, 43, 61, 62, 63) collect information from the valve (31, 41) or the operation of the air pump (60) A control device 70 that controls the Server 80 is included.

As the scrubber valve 31 and the bypass valve 41, various valves including a butterfly valve or a diaphragm valve may be selectively used, and it is more preferable to use a valve having a structure capable of automatic control.

A first sulfur dioxide sensor 32 and a first flow sensor 33 are mounted on the exhaust pipe 30 that has passed the branch point, and a second sulfur dioxide sensor 42 and a second flow sensor 43 are mounted on the bypass pipe 40. ), it is possible to detect the concentration of sulfide components and the flow rate of the exhaust gas contained in the exhaust gas moving to the pipe internal flow path. The values measured by the sulfur dioxide sensors 32 and 42 and the flow sensors 33 and 43 are transmitted to the control device 70 by wire or wireless communication.

In addition, the exhaust pipe 30 and the bypass pipe 40 are equipped with a scrubber valve 31 and a bypass valve 41, and a bypass positioner and a scrubber 50 positioner are installed on each valve 31 and 41. After obtaining information on the operating positions of the valves 31 and 41 , for example, information on whether the valves 31 and 41 are driven to be completely closed, the information may be provided to the control device 70 .

In addition, an air pump 60 for supplying air to the scrubber valve 31 and the bypass valve 41 to open and close the valves 31 and 41 is provided, and a plurality of valves 31 and 41 and a plurality of sensors ( 32, 33, 42, 43, 61, 62, 63) and the air pump 60 may be controlled by the control device 70 .

The air pump 60 is equipped with a current sensor 61 , a voltage sensor 62 , and a temperature sensor 63 , and through this, the current, voltage, and temperature are measured in real time, and the measured values are transmitted to the control device 70 . is sent At this time, the sensors 61 , 62 , and 63 may be connected to the control device 70 by a wire to transmit a measured value, or a measured value may be transmitted wirelessly.

This air pump 60 is controlled by the control device 70 to provide air pressure to the scrubber valve 31 and the bypass valve 41, so that one side is closed and the other side is opened to discharge from the engine 20. The exhaust gas is discharged in the desired direction.

Each of the sensors 32,33,42,43,61,62,63 and the valves 31 and 41 are controlled by the control device 70, and the control device 70 transmits various measurement values to the control server 80 and the control server 80 compares the measured value with big data to provide various information about the product to respond.

The control device 70 receives and analyzes the measured values of the various sensors 32,33,42,43,61,62,63, and controls the scrubber valve 31 and the bypass valve 41 while controlling the air pump ( 60) to control the operation.

The control device 70 analyzes the measured values measured by the first and second sulfur dioxide sensors 32 and 42 to determine whether the exhaust gas discharged from the engine 20 passes through the scrubber 50 or directly to the outside. judge

First, it is determined whether the measured sulfur dioxide content is located within the regulated conditions according to the location where the vessel is currently moving or anchored, and if it is within the regulated conditions, the bypass valve 41 is opened and the scrubber valve 31 is closed. The exhaust gas discharged from the engine 20 is discharged to the outside through the bypass pipe 40, and when the sulfur dioxide content in the exhaust gas exceeds the regulation condition, the control device 70 closes the bypass valve 41 By opening the scrubber valve 31 while doing this, the exhaust gas may be purified through the scrubber 50 and then discharged to the outside.

In addition, if the sulfur dioxide content of the purification gas that has passed through the scrubber 50 still exceeds the regulation condition, it is notified to the outside that the sulfur dioxide emission is exceeded, and an alternative to replace the fuel used in the engine 20 with clean energy can be suggested. have.

Information on regulatory conditions according to the position of the vessel is provided by the control device 70 or the control server 80 with GPS information on the position of the vessel from the GPS module 91, and additionally regulated area information stored in the control server 80 By combining with map information that includes In this case, it is desirable to set the environment for regulatory conditions before entering the regulated area and after leaving the regulated area. The control device 70 may be a separate component separate from the control server 80 or may be a component within the control server 80 , and in this embodiment, it has been described separately for convenience.

In addition, in the present invention, the bypass valve 41 and the scrubber valve 31 are operated by receiving the pneumatic pressure from the air pump 60 . Therefore, when the current voltage and temperature conditions supplied to the air pump 60 are constant, the output amount must be constant, and the output amount of the air pump 60 may be reduced as the use time increases. Since the reduction in output is gradually reduced, the lifespan of the air pump 60 can be predicted by analyzing this pattern.

The control device 70 receives each measurement value from the voltage sensor 62, the current sensor 61, and the temperature sensor 63 installed in the air pump 60 in a method of detecting a change in output amount of the air pump 60, A position change value is received from the corresponding valve positioner while driving the valve by providing pneumatic pressure from the pump (60).

In addition, the control device 70 transmits each sensor measurement value and the position change value to the control server 80, in the control server 80, from the air pump 60 output comparison data accumulated by experiments or actual operating conditions in the meantime. Extract the amount of position change in the corresponding condition and compare it with the actual measured position change.

When the comparison result is the same, it can be determined that the performance of the air pump 60 is maintained, and when the change amount is decreased, it can be determined that the performance of the air pump 60 is reduced. In this case, when it is determined that the output is lowered, it can be quickly transmitted to the control device 70 and displayed on the display.

In addition, the control server 80 continuously detects and analyzes the output change of the air pump 60 to extract the output decrease pattern. That is, it is possible to predict the life information and replacement time of the air pump 60 by analyzing the output reduction pattern, and to display the predicted information on the display through the control device 70 .

On the other hand, in order to improve the accuracy of the output reduction pattern, as shown in FIG. 5, the control server 80 is networked with other servers 92, which are servers of other ships using the same air pump 60 and valve. You can receive information and turn it into big data.

In addition, since maintenance information of other ships can be provided, it is possible to analyze abnormal signs that appear before the failure of the air pump 60 occurs, find patterns of the same type, and convert them into abnormal patterns. That is, in general, while providing predictive information on the product lifespan by the output decrease pattern, when an abnormal measurement pattern is detected, the product failure time is recalculated and provided, so that the product, particularly the air pump 60, is inspected before failure. It is possible to prevent damage due to malfunction of the valve.

The malfunction detection of the air pump 60 can be confirmed by the detection of the first flow rate sensor 33 and the second flow rate sensor 43 . That is, when the scrubber valve 31 or the bypass valve 41 is intermittently closed, the value detected by the first flow sensor 33 or the second flow sensor 43 installed in the exhaust pipe 30 or the bypass pipe 40 If not, it is determined that the air pump 60 operates normally and has delivered the required pressure to the valve, and when gas flow is detected, it is determined that the performance of the air pump 60 is lowered, and notification information is provided so that an emergency check is made. In addition, in preparation for the size of the detection value of the flow sensor, the degree of emergency can be divided into multiple stages and provided.

The big dataization of the control server 80 may be accomplished by using the collected data of the other server 92, which is a server of another ship, or by receiving information from the parts manufacturer server 93, as shown in FIG.

Basically, big dataization of parts information is based on the data provided by the parts manufacturer server 93, and parts are used in various ships, and life information is provided and converted into data. Therefore, it is possible to make big data by analyzing various information such as life information for each part, life information according to environmental conditions, abnormal pattern shape and cause information for each part, abnormal patterns that occur before parts failure, and normal life reduction patterns.

In this way, when an abnormal pattern is detected compared to big data, information on the cause of the abnormal pattern, the location of the part, and the time to check the life time of the part, etc. have.

Meanwhile, as shown in FIG. 6 , the control server 80 responds to changes in the temperature value, current value, and voltage value measured by the air pump 60 received from the control device 70 by the performance diagnosis module 83 . The abnormality of the air pump 60 is analyzed by analyzing the pattern of It detects a pattern, calculates diagnostic information about it, and stores it in big data. Of course, the control device 70 may detect an abnormal pattern to calculate diagnostic information, and the control server 80 may receive the calculated diagnostic information and store it as big data.

In addition, by analyzing the big data by the prediction module 84 , the same or similar information as the abnormal pattern of the diagnostic information may be extracted to calculate and provide prediction information about the service life and inspection period of the air pump 60 . In other words, when an abnormal pattern occurs in big data, but inspection is not performed, there is information on the timing of parts breakage due to fatigue, so it is possible to roughly predict the expected parts usage time from this.

In addition, the control server 80 detects and provides parts-related information on the replacement time for the parts that need to be checked in the diagnostic information from the big data by the parts information providing module 85, the price of the parts, the place to purchase the parts, and the replacement cost. can

Accordingly, the control server 80 that receives the measurement values from the various sensors installed in the air pump 60 , the exhaust pipe 30 and the bypass pipe 40 through the control device 70 is to the performance diagnosis module 83 . By diagnosing, the abnormal pattern is stored in big data, and similar information is retrieved from the big data by the prediction module 84 to prevent accidents in advance. Information on necessary parts can be provided by the information providing module 85 .

That is, an abnormal signal is detected in advance before the air pump 60 malfunctions, and the detected signal is compared and analyzed with big data to predict the inspection time or parts replacement time to prevent accidents in advance. will be.

On the other hand, when the control server 80 compares and analyzes the information collected from the sensors 32,33,42,43,61,62,63 with big data, the control server 80 is a string conversion unit 81 and a character string comparison unit 82 to analyze a pattern using a character string conversion method that is applied differently according to a standard.

In the existing pattern analysis method, comparison of the total amount of energy for a certain section or comparison of the average value was used. To this end, the control server 80 converts the values of the built-in big data (past data) and the values measured in real time into a character string by applying the criteria according to the situation, and performs pattern analysis through comparison of these strings.

FIG. 3 is a diagram for explaining a process in which text conversion of measured values is performed according to application of a standard for pattern analysis in the control server 80 .

First, the character string conversion unit 81 of the control server 80 converts existing data or real-time measured values displayed in numerical values (current value, voltage value, or temperature value, etc.) into text according to a standard. In FIG. 3, the character conversion was made by applying the criteria 1, 2, and 3, for example, criterion 1 may mean a situation in which the vessel is running at a constant speed when the air pump 60 is replaced one month after the replacement, and the standard 2 may mean a situation in which the vessel is running at a constant speed when the air pump 60 is replaced 6 months, and reference 3 is to mean a situation in which the vessel is running at a constant speed when the air pump 60 is replaced 12 months after the replacement. can

If standard 1 is applied and the measured value is converted to text, the measured value of 35 (the unit may change depending on what the measured value is, and the unit is omitted in this example) is the letter b, and the measured value of 50 is can be converted to the letter e. On the other hand, if the standard 2 is applied and the measured value is converted to a character, the measured value of 35 may be converted into the letter a, and the measured value of 50 may be converted into the letter d.

In addition, in the example of FIG. 3 , the measured value is divided into 5 units so that the character conversion is performed, but for implementation, the character conversion can be performed by dividing the measured value by 1 unit or 10 units, and the measured value in a certain range is converted into one character. (e.g., a measurement value of 48 to 52 is converted to the letter e).

In addition, the string comparison unit 82 of the control server 80 compares the current measured value with the past measured value (big data) to analyze the pattern converted by the string conversion unit 81, that is, according to the standard Pattern analysis is performed by comparing different converted strings. This will be described with reference to FIG. 4 as follows.

In FIG. 4 , it is assumed that values measured in the period from time 1 to time 10 are previously established values (big data), and values measured in the period from time 101 to time 110 are currently measured values. The character string comparison unit 82 of the control server 80 attempts to analyze the pattern by comparing the measured value in the period from time 103 to time 108 with the past measured value.

If the control server 80 tries to analyze the pattern using the measured value itself expressed as a numerical value, the data having the change pattern of 105, 110, 115, 115, 110, 105 is within the period of time 1 to time 10. will not be able to verify

In addition, the measured values of time 1 to time 10 are the measured values one month after the air pump 60 replacement, and the measured values of time 101 to time 110 are the measured values six months after the air pump 60 replacement. In this case, the same pattern cannot be confirmed by directly comparing these measured values.

Therefore, as shown in FIG. 4, the character string conversion unit 81 converts the values measured at time 1 to time 10 by applying the criterion 1, and the measured values from time 101 to time 110 use the criterion 2. Apply to make string conversion happen. After that, if the string comparison unit 82 checks whether there is something showing the same pattern as the string opqqpo converted from the measured values of time 103 to time 108 into reference 2, it is confirmed that the pattern of time 3 to time 8 converted by reference 1 is the same can be checked

In other words, although the actual measured values are different, the same pattern can be quickly found by comparing the converted strings by applying different criteria. If the measured values showing the pattern of time 3 to time 8 are a pattern that occurred just before the failure of the air pump 60, it is determined that the measured values showing the pattern of time 103 to time 108 are also patterns that occurred just before the failure of the air pump 60. When the corresponding pattern is confirmed, the prediction module 84 predicts an additionally operable time or replacement time, and immediately outputs the information through a display or the like so that repairs can be made in advance. Of course, the prediction module 84 predicts an operable time or replacement time using the parts information provided by the parts information providing module 85 .

As described in detail above, according to the control server 80 having an accident prevention monitoring function according to the present invention and the air pump management system using the same, the air that operates the valves 31 and 41 for controlling the movement path of the exhaust gas IOT type current sensor 61, voltage sensor 62, and temperature sensor 63 are installed in the pump 60 to provide each value in real time, and monitor the change of the numerical value to compare with big data when abnormal changes appear to provide information on cause identification and inspection, and expand big data by linking with servers of other ships and parts manufacturers to predict parts failure information, provide information on the parts, and respond to inspection timing and parts replacement timing, etc. It is possible to prevent an accident that may occur due to an abnormality of the air pump 60 in advance by providing it.

In particular, in the present invention, pattern analysis is performed through string comparison in which measured values are converted by applying different standards, so even if actual measured values appear different, accurate pattern analysis is possible through strings corrected for changes in the surrounding environment. .

The above-described preferred embodiments of the present invention have been disclosed for the purpose of illustration, and those skilled in the art with common knowledge about the present invention will be able to make various modifications, changes and additions within the spirit and scope of the present invention, such modifications, changes and additions are to be considered as falling within the scope of the claims of the present invention.

20: engine
30: exhaust pipe
31: scrubber valve
32: first sulfur dioxide sensor
33: first flow sensor
40: bypass pipe
41: bypass valve
42: second sulfur dioxide sensor
43: second flow sensor
50: scrubber
60: air pump
61: current sensor
62: voltage sensor
63: temperature sensor
70: control device
80: control server
81: string conversion unit
82: string comparison unit
83: performance diagnosis module
84: prediction module
85: parts information providing module
91: GPS module
92: other server
93: parts manufacturer server

Claims (3)

a character string conversion unit that converts the measured values collected from the sensors or the pre-established measured values into a character string according to a standard according to a change in the surrounding environment; and
A control server having an accident prevention monitoring function, characterized in that it includes; a character string comparison unit for confirming a specific pattern through the comparison of a certain section of the character string converted by the character string converting unit.
According to claim 1,
A control server having an accident prevention monitoring function, characterized in that it further comprises; a prediction module for predicting replacement time and outputting information by using the specific pattern identified in the string comparison unit.
an air pump controlling the valves;
a sensor for measuring the current, voltage or temperature of the air pump;
a control device for controlling the air pump through the information measured by the sensor and transmitting the measured values of the sensor to a control server; and
The control server receives the measurement values of the sensor from the control device, and confirms a specific pattern through the measurement values; including,
The control server is an air pump management system, characterized in that the control server of claim 1 or 2.

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