KR101331579B1 - Automatic control system for diagnosis failure and controlling remaining life by pearson correlation coefficient analysis - Google Patents

Abstract

The present invention relates to an automatic control system for diagnosing and predicting failure and managing a remaining life by Pearson correlation coefficient analysis which can minimize an equipment downtime by predicting the generation of failure through failure diagnosis, transition analysis, and lift management based on load and efficiency and previously notifying an equipment manager of the generation of the failure. A system in the present invention comprises: a measuring unit for sensing and editing a device state and failure factors according to load; a load equipment information database for storing the information of load equipment; a computing unit for computing the efficiency of operation and the state of the failure factor by design according to the load by using the information of the load equipment information database; an analyzing unit for analyzing correlation between the measuring unit and the computing unit; a displaying unit for displaying failure and life data analyzed by the analyzing unit; an editing unit for editing remotely transmitted content in the displayed content; and a transmitting unit for transmitting, to the outside, data edited by the editing unit. The present invention has the effect that it can prevent an accident by notifying the equipment manager and user of time when a failure is predicted before the failure occurs through failure diagnosis, transition analysis, and life management based on load and efficiency, and can improve the efficiency of operation by minimizing the equipment downtime. [Reference numerals] (10) Load equipment;(100) Failure estimation leaflet system;(102) Internet;(104) Load equipment information DB;(110) Measuring unit;(112) Failure related factor measuring unit;(114) Efficient I/O factor/efficiency computing unit;(116) Change development measuring unit;(118) Using frequency/time accumulating unit;(120) Calculation unit;(122) Early warning calculation unit;(124) Design efficiency calculation unit;(126) Critical value setting unit;(128) Design lifetime calculation unit;(130) Analysis unit;(132) Early warning diagnosis unit;(134) Efficiency diagnosis unit;(135) Failure point of time estimation and analysis unit;(138) Remaining lifetime calculation unit;(140) Display unit;(142) Early warning display unit;(144) Efficiency warning display unit;(146) Estimated time display unit;(148) Remaining lifetime display unit;(150) Real time forward monitoring editing unit;(160) Wireless data transmitting unit;(170-1,170-2) Image synthesizer;(20) Measuring device;(30) CCTV image data transmitter;(40) CCTV image display;(50) CATV image display;(60) CATV image data transmitter;(70) Mobile device;(AA) DB unit

Description

AUTOMATIC CONTROL SYSTEM FOR DIAGNOSIS FAILURE AND CONTROLLING REMAINING LIFE BY PEARSON CORRELATION COEFFICIENT ANALYSIS}

The present invention relates to an automatic control technology for operating various equipment such as power equipment, lighting equipment, air conditioning equipment, sanitary equipment, disaster prevention equipment installed in large buildings such as factories, buildings, apartments, and the like, and more specifically, loads of various equipment. Fault prediction and remaining life span using Pearson's Correlation Coefficient Analysis to minimize downtime due to failures by predicting failures and notifying equipment managers in advance through failure diagnosis, trend analysis and life cycle management based on efficiency and efficiency. Management automatic control system.

In recent years, as buildings become larger and more functional, various facilities such as air conditioning, sanitation, electric power, lighting, crime prevention, disaster prevention, and water treatment are complicated, and various automatic control control systems are proposed to comprehensively monitor and control these facilities. It is becoming.

The remote monitoring control system for building facility management controls the operation of field devices to prevent accidents and smooth operation of the operation facilities as the operation is enlarged and automated, and collects and analyzes the information of the field devices for automatic control and remote control. It supports the control. At this time, the conventional automatic control system sets a failure threshold value for a failure, stops the operation of the facility when the failure threshold is exceeded, and operates the wired / wireless transmission of alarm data (DATA) accordingly. It is becoming.

Therefore, the conventional automatic control system is inadequate in the diagnosis and prediction function, the operation of the equipment is inevitable when the failure alarm occurs due to the transmission of the alarm after the failure, there is a problem that does not give the driver time to respond in advance. In addition, the sudden failure of the facility is very inconvenient to the residents of the facility, so it is necessary to provide the failure prediction information in advance and take action before the occurrence of the accident.

(Patent Document 1) KR10-0448668 B1

The present invention has been proposed to solve the above problems, the object of the present invention is to predict the failure through the early failure diagnosis based on load and efficiency, and predictive failure through the trend analysis and life management to notify the equipment manager in advance the occurrence of an accident It is to provide an automatic control system for predicting failure diagnosis and remaining life by applying Pearson's correlation coefficient analysis method that can prevent loss and minimize downtime.

In order to achieve the above object, the system of the present invention, the measurement unit for detecting and editing the device state and failure factors according to the load; A load equipment information database unit for storing information of load equipment; An operation unit which calculates the efficiency and the state of the failure factor during operation according to the load by using the information of the load equipment information database unit; An analysis unit analyzing a correlation between the measurement unit and the calculation unit; A display unit displaying fault and life data analyzed by the analysis unit; An editing unit for editing the remote transmission contents among the displayed contents; And transmission means for transmitting the data edited by the editing unit to the outside.

In addition, another system of the present invention to achieve the above object is a load equipment information database that stores the information of the load equipment; Early warning diagnostic means for calculating the fault association factor from the load equipment information database, measuring the fault association factor from the load equipment, comparing the calculated value with the measured value, and displaying an early failure alert if a difference occurs over the set value. ; Efficiency alarm diagnostic means for calculating design efficiency for each load using data obtained from the load equipment information database, measuring efficiency for each load, and comparing the calculated value with the measured value and displaying an efficiency alarm if a difference occurs over a set value; Failure point prediction means for setting a threshold value with data obtained from the load equipment information database, measuring a change trend, and predicting the failure point to display a failure time prediction time; Residual life diagnosis means for calculating a design life from the data obtained from the load equipment information database, calculating the remaining life by integrating the number of times / time of use, and displaying the remaining life; An editing unit for editing the remote transmission contents among the display contents of the early warning diagnosis means, the efficiency alarm diagnosis means, the failure time prediction means, and the remaining life diagnosis means; And transmission means for transmitting the data edited by the editing unit to the outside.

The early warning diagnostic means includes an early warning calculation unit for calculating a calculated value of a failure-related factor in design according to a load by using the load equipment information database; Early warning diagnosis unit for determining the presence or absence of a failure through the correlation analysis and analysis of the failure-related factor data measured according to the calculated result and the load during the actual operation; And an early warning display unit for displaying the details of the failure according to the load determined by the early warning diagnosis unit.

The efficiency alarm diagnostic means includes a design efficiency calculation unit for calculating and correcting the design efficiency according to the load using the load equipment information database; An efficiency diagnosis unit that compares and analyzes the correlation between the calculated result and the efficiency calculated using the data measured according to the load during actual operation, and determines whether there is a failure; And an efficiency alarm display unit for displaying the contents of the efficiency alarm according to the load determined by the efficiency diagnosis unit.

The failure point predicting means includes: a threshold setting unit for setting a threshold value of a failure factor in design according to a load using the load equipment information database; A failure time prediction analyzer for calculating an estimated time of reaching a threshold value by using a change trend of a failure factor measured from a measuring device and determining whether time is displayed; And a prediction time display unit for predicting and displaying the estimated failure time arrival time.

The remaining life diagnostic means includes a design life calculation unit for setting the design life for each equipment using the load equipment information database; A frequency of use / time integrating unit for accumulating the equipment use time and the number of on-off times using the measurement data; Residual life calculation unit for calculating the remaining life by comparing the integrated data and design life; And a remaining life display unit for displaying the remaining life for each level and displaying the remaining life.

The present invention prevents the occurrence of an accident by performing the automatic control by predicting the expected time of failure before the occurrence of the failure situation through failure diagnosis, trend analysis, and remaining life management based on the load and efficiency of the facility, and notifying the equipment manager. In addition, the efficiency of the operation can be improved by minimizing the equipment down time.

In addition, the present invention has the effect of minimizing the possibility of accidents by actively assisting in the prevention of accidents by transmitting the status of facilities to facility residents as well as facility managers.

1 is a block diagram showing the overall configuration of an automatic control system according to the present invention;
2 is a flowchart illustrating a procedure for diagnosing and predicting a failure through correlation monitoring analysis according to the present invention;
3 is a table for explaining the occurrence of an early warning by the load in accordance with the present invention,
4 is a diagram for explaining an efficiency alarm generation according to the present invention;
5 is a diagram illustrating a failure point prediction alarm generation due to a change trend according to the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS The above and other objects, features, and advantages of the present invention will become more apparent from the following detailed description of the present invention when taken in conjunction with the accompanying drawings. The following examples are merely illustrative of the present invention and are not intended to limit the scope of the present invention.

1 is a block diagram showing the overall configuration of an automatic control system according to the present invention.

As shown in FIG. 1, the automatic control system according to the present invention is an automatic control system having a failure diagnosis function, a failure prediction function, and an automatic control function according to a load through an actual load device 10 and a measurement device 20. Measurement unit 110 for detecting and editing device status and failure factors, load equipment information DB 104 for storing load equipment information, and information of DB for efficiency and failure factors during design operation according to load. The calculation unit 120 for calculating the state, the analysis unit 130 for analyzing the correlation between the measurement unit 110 and the operation unit 120, the display unit 140 for displaying the analyzed failure and lifespan DATA, and remote transmission of the display content The editing unit 150 for editing the contents, and the video synthesizer (170-1, 170-2) and the mobile terminal 70 for mixing the images by sending the video to the CCTV (40) and CATV (50) edited edited It is comprised by the wireless DATA sending part 160 which sends a content.

Here, the failure factor can be any object that has a correlation with load and efficiency such as temperature, humidity, pressure, vibration, flow rate, cleanliness, etc., according to Pearson's correlation theory,

In other words, if the absolute value of T is greater than t, it is correlated. If the absolute value T is between 0.3 and 0.7, it is clearly correlated, and if it is between 0.7 and 1, it is strongly correlated.

This sequence can be easily calculated with packages such as spss, sar, or r. Therefore, the failure factor for applying the system can be appropriately selected and applied to the failure factor having a large correlation coefficient according to the automatic control object and the environment.

First, the present invention follows the load variation and compares the correlation between the operation during operation and the actual operation to enable early diagnosis of the failure, and theoretically analyzes the relationship between the design efficiency and the actual operation efficiency to solve the inefficient operation and failure. Diagnose in advance, analyze the change in the trend of failure factors, calculate the estimated time to reach the threshold value, calculate the remaining life of electrical equipment to provide the driver with information, and edit the data that need automatic control and monitoring among the provided data. Remotely transmits data to drivers and users through CCTV, CATV, and mobile terminals. Therefore, the present invention can reduce the time and cost spent in the prevention and maintenance of the accident compared to the conventional system that sends only the threshold of failure, and diagnose the failure before the threshold failure occurs to prevent accidents and equipment down time and By reducing the number of times, efficient operation is possible, and the monitoring control performance can be improved.

Referring to FIG. 1, the load device 10 and the measurement device 20 are facilities to be controlled that require failure and efficiency management, and a signal necessary for controlling and managing the load device 10 is detected by the measurement device 20. And communicated to the failure prediction diagnosis system 100 of the present invention by a communication or wiring method.

The load equipment information DB 104 is responsible for storing and editing the data required by the operation unit 120 for the control monitoring target according to the characteristics of the equipment and the site installation conditions.

The measurement unit 110 of the failure prediction diagnosis system includes a failure association factor measurement unit 112, an efficiency input / output factor / efficiency calculation unit 114, a change trend measurement unit 116, and a use frequency / time integration unit 118.

Fault associated factor measurement unit 112 is for the object that the failure factor is correlated with the load, load such as transformer load and transformer temperature, busbar load and busbar temperature, motor load and winding temperature, pump output or pressure or vibration It is about the measurement of the failure factor that is changed in conjunction with, and it can be applied by varying according to the control object or the site situation. The efficiency input / output factor / efficiency calculation unit 114 is for measuring data and calculating efficiency for the objects whose efficiency can be measured in the equipment to be controlled. The pump load and flow rate, transformer input power versus output power, lighting power vs. illuminance, and air conditioner It can be applied to air-conditioning air volume and temperature, etc., and it can be applied by calculating the actual use efficiency according to the monitoring target equipment and site conditions. The change trend measurement unit 116 has a real-time change trend, and may be a target of temperature, pressure, humidity, concentration, etc. as a measurable failure factor. The number of times of use and time integration unit 118 are products that require life management. Targets can be used to estimate the lifespan of lighting equipment, lighting equipment, electrical equipment, equipment, etc., and the operator can estimate the lifespan as the management target if necessary, and accumulate the usage time and the number of times of use of the target equipment. This function secures comparative data of remaining life prediction in real time.

The calculation unit 120 includes an early warning calculator 122, a design efficiency calculator 124, a threshold value setting unit 126, and a design life calculator 128.

The early warning operation unit 122 calculates the normal value of the failure factor according to the theoretical load of the monitoring control object by using the data of the load equipment information DB 104 and sends it to the early warning diagnosis unit 132. By correcting the value of the failure factor in normal operation, the normal value of the failure factor according to the load should be adjusted to be realistic. The design efficiency calculation unit 124 according to the load calculates the theoretical efficiency of the monitoring and control target by using the data of the load equipment information DB 104 and sends it to the efficiency diagnosis unit 134, and calculates the efficiency during normal operation. By reflecting the data, the efficiency calculations should be adjusted to be realistic. Threshold setting unit 126 serves to set the threshold value according to the characteristics of the monitoring control object by using the data of the load equipment information DB 104 to send to the failure point prediction analysis unit 136, By reflecting the hunting amount, the setpoint must be adjusted in a realistic manner.

The design life calculator 128 derives the theoretical life of the monitoring and control target by utilizing the data of the load equipment information DB 104, determines the design life by reflecting the user's opinion, and sends it to the remaining life calculation unit 138. However, it should be adjusted similarly to the actual life expectancy by varying the application according to the user's opinion and the use condition of the device when confirming the design life.

The analysis unit 130 includes an early warning diagnosis unit 132, an efficiency diagnosis unit 134, a failure point prediction analysis unit 136, and a remaining life calculation unit 138.

The early warning diagnosis unit 132 compares the data sent from the early warning operator 122 and the failure-related factor measuring unit 112 and transmits the data to the early warning display unit 142 when a difference of more than a set value occurs for each load. The efficiency diagnosis unit 134 compares the data sent from the design efficiency calculation unit 124 and the efficiency input / output factor / efficiency calculation unit 114 and transmits the data to the efficiency alarm display unit 144 when a difference in efficiency value exceeds a set value for each load occurs. It plays a role. The failure point prediction analysis unit 136 calculates a slope by moving average of the trend measurement value sent from the change trend measurement unit 116 and calculates an estimated time of reaching the set value of the threshold value setting unit 126 to the prediction time display unit 146. It plays a role of transmitting DATA. The remaining life calculation unit 138 calculates the remaining life using the data sent from the design life calculation unit 128 and the number of times / time integrating unit 118, converts the remaining life, and automatically sets the alarm level to display the remaining life of the life unit 148. It transmits DATA to).

The display unit 140 includes an early warning display unit 142, an efficiency alarm display unit 144, a prediction time display unit 146, and a remaining life display unit 148.

The early warning display unit 142 edits the data sent from the early failure diagnosis unit 132 and serves to display the driver so as to be recognized. The efficiency alarm display unit 144 edits the data sent from the efficiency diagnosis unit 134 and serves to display the driver easily. The prediction time display unit 146 edits the data sent from the failure time prediction analysis unit 136 and serves to display the driver so as to be recognized. When the forecast time is displayed, the early warning level according to the time is displayed graphically, which increases visibility and enables the driver to assist the driver by selecting a concentrated monitoring object. The remaining life display unit 148 edits the data sent from the remaining life calculation unit 138 and serves to display the driver so that it can be easily recognized as shown in Table 1 below.

Device name Design life Service life Remaining life Remaining life Lead time time collection time collection time collection time Alarm level a b c d e f g h i j

In Table 1, a is a name of a device having a lifespan, b is a time taken for arranging materials, c is the available time of the device, d is the number of available on-offs of the device, and e is the actual use of the device. Integration time, f is the actual on-off integration count of the equipment, g is calculated as design life time-life time (ce = g), and h is calculated as design life-time life time (df = h) I denotes the lesser of the remaining life time value multiplied by the remaining number of times of actual use time per time. At this time, the formula is equal to the smaller of g and “e / f x h”. j is the alarm level. Alarm 1 LEVEL is displayed in yellow when the remaining time or life is less than 10% or less than lead time + 7 days. Alarm 2 LEVEL is displayed in red when the time is shorter than lead time. Alarm 3 LEVEL is displayed. If the time and number of times is less than -10% or if the remaining life is-value, the visibility is increased by changing the alarm method for each alarm level with a red precursor.

Referring back to FIG. 1, the real-time remote monitoring editing unit 150 receives the data received from the early warning display unit 142, the efficiency alarm display unit 144, the prediction time display unit 146, and the remaining life display unit 148 in the far-field control. It is edited to be suitable for transmission to the wireless DAT transmitter 160, CCTV video display 40, CATV video display 50. The wireless DATA transmitter 160 is responsible for transmitting the contents edited by the real-time remote monitoring editor 150 to the mobile terminal 70.

The first video synthesizer 170-1 is installed on the coaxial cable connecting the CCTV video data transmitter 30 and the CCTV video display 40 with the content edited by the remote surveillance editing unit 150 without further modification of the CCTV system. It plays a role in synthesizing image data. The second image synthesizer 170-2 is installed on the coaxial cable connecting the CATV image data transmitter 60 and the CATV image display unit 50 with the edited contents of the remote surveillance editing unit 150 without further modification of the CATV system. It plays a role in synthesizing image data.

2 is a flowchart illustrating a procedure for diagnosing and predicting a failure through correlation monitoring analysis according to the present invention.

According to the present invention, a procedure for diagnosing and predicting a failure through correlation monitoring analysis, as shown in FIG. 2, constructs a database for a load device (S1) and sets various parameter values (S2). And, if the early warning diagnosis, the failure factor is calculated, the failure factor is measured and the calculated value and the measured value is compared to the step of displaying the early failure alarm when the difference is greater than the set value (S3 ~ S16) and the efficiency alarm If it is a diagnosis, it calculates the design efficiency for each load, measures the efficiency for each load, compares the calculated value with the measured value, and displays an efficiency alarm when a difference occurs over the set value (S21 to S26); Setting and measuring the change trend and predicting the failure time to display the failure time prediction time (S31 ~ S35); if the remaining life diagnosis is performed, the design life is calculated, and the remaining life is calculated by integrating the number of use / time After the calculation consists of the steps (S41 ~ S45) for displaying the remaining life.

In addition, the procedure for diagnosing and predicting a fault through correlation monitoring analysis according to the present invention includes the steps of editing the display content, synthesizing the edited video into a CCTV image or a CATV image, and outputting the edited information to a corresponding device; Wireless transmission to the mobile terminal may be further provided.

3 is a diagram illustrating an early warning generation by a load according to the present invention.

The early warning diagnosis compares the data sent from the early warning calculation unit 122 and the failure-related factor measurement unit 112 and transmits the data to the early warning display unit 142 when a difference is greater than the set value for each load. As shown in the table, the setpoint is variable depending on the early warning failure factor and the site situation.

Referring to FIG. 3, the horizontal axis represents the load and the vertical axis represents the temperature as a case where the temperature of the busbar is taken as an example.

4 is a diagram illustrating an efficiency alarm generation according to the present invention, in which the horizontal axis represents load and the vertical axis represents efficiency.

Referring to FIG. 4, the efficiency diagnosis is performed by comparing the data sent from the design efficiency calculation unit 124 and the efficiency input / output factor / efficiency calculation unit 114 to the efficiency alarm display unit 144 when a difference in efficiency value exceeds a set value for each load occurs. Send it. In this case, as shown in the efficiency alarm generation chart according to the efficiency of FIG. 4, the set value should be variable according to the efficiency and the site situation according to the equipment characteristics.

FIG. 5 is a diagram illustrating a failure point prediction alarm generation due to a change trend according to the present invention, wherein the horizontal axis represents time and the vertical axis represents failure factor.

Referring to FIG. 5, the failure point prediction calculates a slope by moving average of the trend measurement value sent from the change trend measurement unit 116, calculates an estimated time of reaching the set value of the threshold value setting unit 126, and then estimates the estimated time display unit 146. Send DATA to).

In this case, as shown in the failure point prediction alarm generation chart according to the change trend of FIG. 5, the failure occurrence prediction time may be calculated. When calculating the time, the suitability of the predicted failure time may be deteriorated depending on the hunting signal, the change width, and the change rate of the measurement signal. Therefore, it is necessary to appropriately set the weighted moving average value in consideration of the trend of the menopausal data. It should be adapted to the site situation.

On the other hand, the remaining life calculation unit 138 calculates the remaining life using the data sent from the design life calculation unit 128 and the number of times / time integration unit 118 converted to the remaining life. At this time, as shown in the failure point prediction alarm occurrence chart according to the change trend of FIG. 5 and the display scheme of Table 1, the remaining life time = design life time-use life time is calculated (ce = g), and the remaining life recovery = design The number of lifetimes is calculated by the number of times of service life (df = h), and the remaining life is calculated from the lesser of the remaining life time times the actual number of times multiplied by the remaining times.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

10: load equipment 20: measurement equipment
30: CCTV video data transmitter 40: CCTV video display
50: CATV video display 60: CATV video data transmitter
70: mobile terminal 102: Internet
100: failure diagnosis system 110: diagnostic unit
120: arithmetic unit 130; Analysis department
140: display unit 150: real-time remote monitoring editing unit
150: wireless data transmitter 170-1, 170-2: video synthesizer

Claims (6)

A measuring unit which detects and edits a device state and a failure factor according to a load;
A load equipment information database unit for storing information of load equipment;
An operation unit which calculates the efficiency and the state of the failure factor during operation according to the load by using the information of the load equipment information database unit;
An analysis unit analyzing a correlation between the measurement unit and the calculation unit;
A display unit displaying fault and life data analyzed by the analysis unit;
An editing unit for editing the remote transmission contents among the displayed contents; And
It consists of a transmission means for transmitting the data edited by the editing unit to the outside,
The operation unit comprises an early warning operation unit, a design efficiency operation unit, a threshold value setting unit, a design life calculation unit,
The early warning calculation unit calculates the normal value of the failure factor according to the theoretical load of the monitoring control object by using the data of the load equipment information database unit, and sends it to the early warning diagnosis unit. Calculate the theoretical efficiency of the monitoring control object and send it to the efficiency diagnosis unit using the data, and the threshold setting unit utilizes the data of the load equipment information database unit to set the threshold value according to the characteristics of the monitoring control object to predict the failure point. The design life calculation unit derives the theoretical life of the monitoring and control object by using data from the load equipment information database unit, and determines the design life by reflecting the user's opinion and sends it to the remaining life calculation unit. Pearson's Care Fault diagnosis prediction and remaining life control automatic control system using coefficient analysis method.
A load equipment information database that stores load equipment information;
Early warning diagnostic means for calculating the fault association factor from the load equipment information database, measuring the fault association factor from the load equipment, comparing the calculated value with the measured value, and displaying an early failure alert if a difference occurs over the set value. ;
Efficiency alarm diagnostic means for calculating design efficiency for each load using data obtained from the load equipment information database, measuring efficiency for each load, and comparing the calculated value with a measured value and displaying an efficiency alarm if a difference occurs over a set value;
Failure point prediction means for setting a threshold value with data obtained from the load equipment information database, measuring a change trend, and predicting the failure point to display a failure time prediction time;
Residual life diagnosis means for calculating a design life from the data obtained from the load equipment information database, calculating the remaining life by integrating the number of times / time of use, and displaying the remaining life;
An editing unit for editing the remote transmission contents among the display contents of the early warning diagnosis means, the efficiency alarm diagnosis means, the failure time prediction means, and the remaining life diagnosis means; And
Automatic diagnosis system for predicting failure and remaining life by applying the Pearson correlation coefficient analysis method characterized in that the transmission means for transmitting the data edited by the editing unit to the outside.
The method of claim 2, wherein the early warning diagnostic means
An early warning calculator configured to calculate a calculated value of a design failure-related factor according to the load by using the load equipment information database;
Early warning diagnosis unit for determining the presence or absence of a failure through the correlation analysis and analysis of the failure-related factor data measured according to the calculated result and the load during the actual operation; And
An automatic control system for predicting failure and remaining lifetime management by applying the Pearson correlation coefficient analysis method, which comprises an early warning display unit for displaying the failure details according to the load determined by the early warning diagnosis unit.
The method of claim 2, wherein the efficiency alarm diagnostic means
A design efficiency calculation unit for calculating, correcting and calculating design efficiency according to load using the load equipment information database;
An efficiency diagnosis unit that compares and analyzes the correlation between the calculated result and the efficiency calculated using the data measured according to the load during actual operation, and determines whether there is a failure; And
And an efficiency alarm display unit displaying an efficiency alarm content according to the load determined by the efficiency diagnosis unit.
The method of claim 2, wherein the failure point prediction means
A threshold setting unit for setting a threshold value of a design failure factor according to a load by using the load equipment information database;
A failure time prediction analyzer for calculating an estimated time of reaching a threshold value by using a change trend of a failure factor measured from a measuring device and determining whether time is displayed; And
A failure diagnosis prediction and residual life control automatic control system using the Pearson correlation coefficient analysis method characterized in that it comprises a prediction time display unit for predicting and displaying the estimated time of failure arrival time.
The method of claim 2, wherein the remaining life diagnostic means
A design life calculator configured to set a design life for each equipment by using the load equipment information database;
A frequency of use / time integrating unit for accumulating the equipment use time and the number of on-off times using the measurement data;
Residual life calculation unit for calculating the remaining life by comparing the integrated data and design life; And
A failure diagnosis prediction and residual life management automatic control system using the Pearson correlation coefficient analysis method, characterized in that it comprises a remaining life display unit for displaying the remaining life by level and the remaining life.

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