KR101087739B1 - Industrial plant equipment tracking and career paths of the operation signal or prediction - Google Patents

Abstract

PURPOSE: A method for tracking the route of an abnormal driving signal of industrial plant equipment and a route prediction method are provided to monitor the operation state of industrial plant equipment, thereby making a maintenance plan. CONSTITUTION: An industrial plant equipment operation monitoring system receives an operation signal and monitors whether the operation signal is within a normal driving range. The industrial plant equipment operation monitoring system divides an operation monitoring time point into attention/warning/stop. The industrial plant equipment operation monitoring system receives an operation signal which is detected by a detection unit which detects industrial plant equipment. The industrial plant equipment operation monitoring system determines whether a track is out of a normal range if the operation signal is out of a normal operation range. The industrial plant equipment operation monitoring system provides a prediction route of the operation signal.

Description

Industrial plant equipment tracking and career paths of the operation signal or prediction

The present invention relates to an abnormal operation signal path tracking and a path prediction method of an industrial plant facility, and more specifically, to predict a progress direction and time by tracking a progress path in real time from a step outside the normal operation range of the industrial plant facility operation signal. Therefore, the present invention relates to a path tracking and path prediction method of an abnormal operation signal of an industrial plant that can minimize failures in response to the situation.

Industrial plants, such as power generation or chemical facilities, which consist of numerous mechanical and electrical facilities, are seeking to operate stably by installing automated monitoring and control devices. Manpower is difficult to solve due to functions, and 100% automated unmanned industrial plants are difficult to exist for the time being.

In the event of a failure of an industrial plant facility, the operation monitoring device alerts and the operation control unit performs excellent actions such as automatically stopping the facility.However, the problem is how to detect and fail an initial abnormal symptom that the computer cannot detect. How do you track and follow the signal path?

Industrial plant equipment that uses high pressure, temperature, and high voltage has a high probability of failure, and when it is shut down, there is a huge loss of sales and maintenance costs. Preventing fault expansion and downtime by predicting the route in advance and taking appropriate measures is the best method, but the reality is that the improvement of manpower depends on the ability to detect and track abnormalities in driving signals.

The weak point of the existing driving monitoring system is first, it depends on manpower to monitor whether the driving signal is abnormal until the alarm occurs, but the spatial / temporal constraints and plant process that must continuously monitor thousands of driving signals. It is difficult to expect surveillance efficiency due to the complexity of the system, the reduction of the organization and manpower for cost reduction, and the lack of experienced personnel.

Secondly, the driving signal in which an abnormality is found is monitored by using a trend graph shown in FIG. 2, but the trend graph shows only a simple change in the driving signal, making it difficult to determine a progress path. Expected careers do not have the means to predict, so they depend on the discretion of employees.

Third, it is not possible to determine how much spare time there is from the time of occurrence of an abnormal symptom to the time of alarm or trip.

Fourth, there is no systemized graphical situation screen that can be used to view the abnormal signal and the situation change in real time.

Therefore, in order to improve this, the progress path of the abnormal signal and the expected future path are displayed on the monitor screen in real time from the time when the operation signal is out of the normal operation range, and to some extent until the alarm time point and the trip stop time. It provides a means to find out whether there is spare time, and provides three-level alarm (attention warning / alarm warning / stop) instead of the existing two-step alarm (border alarm / stop). It provides a means to quickly and accurately understand and cope with abnormal driving situations.

In order to achieve the above object, the present invention receives an operation signal from an operation monitoring system constituting an industrial plant facility such as power generation or chemistry, and displays a progress path from the moment when the operation signal is out of the normal operation range. The future direction is calculated based on the current time point and displayed on the graphic screen, and the estimated time of arrival until the alarm time point and the trip time point is displayed on the graphic screen, so that the direction of abnormal signal progresses. The purpose of the present invention is to provide an operation signal path tracking and path prediction method of industrial plant equipment that can easily understand the speed and speed, and consequently prevent the expansion and propagation of the failure by systematic response to the failure.

The present invention for achieving the above object is, in the first step of receiving a driving signal from the industrial plant equipment operation monitoring system, and determining whether the track is off the track when the driving signal is outside the normal operating range in the first step In the second step of providing a predicted future path for the departed driving signal when the driving signal is off the track, and providing a warning area value corresponding to the expected path when the driving signal proceeds according to the expected path presented in the second step. A third step, a fourth step of providing an estimated time from an alarm point of time to an alarm point of time and a trip point of time in the alarm area, and a fifth step of collectively displaying the information of each step; It features.

In addition, the second step is characterized by providing a prospective course through the trajectory analysis before / after the departure of the normal operation range, or providing a photopath through the past course DB analysis.

In addition, the past path DB, characterized in that the operation signal value is stored from the start point of the abnormal symptoms corresponding to the time point (attention warning) out of the normal operation range.

In addition, the past path DB, characterized in that the operation signal value before the start point of the abnormal symptoms corresponding to the time point (attention warning) out of the normal operation range is also stored.

In addition, the process of extracting the analogy road is characterized in that the curve having a path shape that is mathematically most similar to the driving signal that is currently in progress out of the normal operation range is extracted from the past path DB and provided for the expected path reference.

In the second step, an expected course may be calculated by applying both an operation signal value within a normal operation range and an operation signal value outside the normal operation range.

The second step may include loading and matching a driving signal value identical or similar to the driving signal value stored in the past career DB, and calculating an expected path according to the loaded driving signal value.

In addition, the third step is to provide an alarm value in order to inform the entering of the boundary area when the abnormal operation signal proceeds to the expected course, characterized in that it is provided on the same criteria set when the industrial plant design.

In addition, the fourth step, the time required to reach the boundary warning and operation stop from the departure of the normal operation range, and the time required to reach the boundary area when proceeding to the past course or the expected course provided in the third step It is characterized by providing together.

According to the present invention configured as described above, when the operating condition of the industrial plant equipment is monitored in real time and a situation that deviates from the normal operating range occurs, the path trace and the expected course that have passed are displayed on the graphic screen to easily understand the operating situation and alert the boundary. By presenting the time required to reach the alarm and trip, there is an advantage in supporting the operation and maintenance measures appropriate to the situation.

In addition, the graphic status screen displays information such as driving signal deviation path, expected future path, past path, boundary alarm / stop value, boundary alarm / stop value arrival time on one screen. Accurate grasping has the benefit of preventing failure and preventing escalation.

1 is a conceptual diagram showing the monitoring step and means for each operation signal level of the existing industrial plant operation monitoring system,
FIG. 2 is a diagram illustrating a trend graph used for monitoring a change in operating signals of an existing industrial plant operation monitoring system. FIG.
3 is a flow chart for operation signal path tracking and career prediction of an industrial plant according to the present invention;
4 is a flowchart of a graphic screen according to the operation signal path tracking and course prediction of the industrial plant facilities in the present invention,
5 is a diagram illustrating an example of a graphic screen for driving signal path tracking and career prediction of an industrial plant according to the present invention.

Hereinafter, exemplary embodiments of an abnormal operation signal path tracking and a path prediction method of an industrial plant according to the present invention will be described in detail with reference to the accompanying drawings.

The abnormal operation signal path tracking and path prediction method of an industrial plant according to the present invention includes a first operation of receiving an operation signal from an industrial plant operation monitoring system and determining whether the track is out of track when the operation signal is out of a normal operation range. In the step 1, when the driving signal is off the track in the first step, the second step of providing a future prediction path for the driving signal deviated, and corresponds to the expected path when the driving signal proceeds according to the expected path presented in the second step A third step of providing an alarm zone value, a fourth step of providing an estimated time from an alarm point to a trip point in the alarm zone, and a fifth display of the information of each step Characterized in that comprises a step.

In the abnormal operation signal path tracking and the path prediction method of the industrial plant according to the present invention, when a situation occurs that the operation signal of the industrial plant is out of the normal operation range, the path trace and the expected path that have been passed are displayed on the graphic screen, and the operating status is displayed. Provides easy to grasp and suggests the time required to reach the alarm and trip, driving signal path tracking and course to find the appropriate operation and maintenance measures. Providing a forecasting method is a major technical point.

3 is a flow chart for operating signal path tracking and career prediction of an industrial plant according to the present invention. As shown, the career prediction method according to the present invention is composed of five steps. The first step of checking whether the track is out of the normal operating range orbit, and the second step of presenting the expected path when the track is off, corresponds to the expected path. And a third step of providing an alarm zone value, a fourth step of providing an estimated time to the boundary alarm point and the driving stop point, and displaying the step-by-step information.

The operating signal of the industrial plant is input and monitored through a detection means (not shown) in order to monitor the operation status by various equipment and parts for the plant configuration. For example, the detection means detects information (operation signals) of a corresponding facility or part using various sensors such as a temperature sensor for temperature detection, a pressure sensor for pressure detection, and a flow rate sensor for flow rate detection. Through checking the operation status by equipment and parts, the corresponding operation signal is received.

Here, the operation signal maintains the operating state within the normal operation range when each equipment is in normal operation, but when a specific problem (overheating, failure, leakage, etc.) occurs, the operation proceeds to a departure from the normal operation range. If the track is out of the normal track, it is detected that the driving signal has departed from the track in the process of determining whether the track is out of track. In the first step, when the driving signal is determined to be out of track, the driving monitoring system first generates an early warning.

If it is determined that the track is derailed, the course prediction method according to the present invention for the stable operation of the system is realized. When the deviation of the track is determined in the first step, the second step provides an expected path for the departed driving signal. Here, the predicted course can be provided in two ways. First, the predicted course through mathematical modeling can be provided, and second, similar data can be provided from the past operation data.

Prediction of the predicted course through mathematical modeling can be calculated through a known prediction model such as a least-squares linear regression model by applying both an operation signal value within a normal operation range and an operation signal value outside the normal operation range. In this case, as shown in FIG. 3, a calculation is performed using a career calculation engine (program) prepared in the driving monitoring system, and the estimated track calculated therein is displayed on the driving detection monitor.

Second, it searches for a similar course using the past career DB and provides the past driving signal most similar to the current driving signal. The past career DB is a database of operation signals for various equipment and parts of the plant, and the operation signal values are stored from the abnormal symptom start point corresponding to a time point (attention warning) outside the normal operation range, or the normal All the operating signal values before the start of the abnormal symptom corresponding to the point out of the operation range (attention warning) are also stored. In order to provide a photographic path through the past course DB, it is determined that the first step is out of track, and a curve having a course form that is virtually virtually similar to the driving signal in progress is extracted from the past course DB for reference to the predicted course. To provide.

In addition, in providing an expected path, the driving signal value stored in the past career DB and the current driving signal value are loaded with the same driving signal or the most similar to the current driving signal, and the expected driving path according to the loaded driving signal value. Calculate.

Therefore, the driving signal according to the deviation of the track through the second step is to provide the predicted course through the mathematical modeling and the most similar predicted course stored in the past.

The third step provides an alarm zone of the driving signal when the driving signal continuously progresses according to the expected course provided in the second step. The alarm area indicates an alarm time point and a trip stop time. By displaying an abnormal signal threshold value corresponding to an expected course, driving monitoring can be clearly tracked. In this case, the alarm area refers to a threshold value corresponding to the same reference value that was set in the industrial plant design.

Therefore, it is possible to predict the point of time at which the alarm alert occurs and the point of stop of the operation signal out of the normal operation range through the path prediction method up to the third step.

The fourth step is a process of calculating the estimated time between the boundary warning point and the driving stop point. The calculation of the estimated time can easily calculate the remaining time to reach the boundary warning point or the stop point from the data of the predicted course or walkway provided previously. The estimated time thus calculated can be displayed on the display of the driving monitoring system to achieve more accurate driving monitoring.

4 is a flowchart illustrating a graphic screen according to the operation signal path tracking and the path prediction of the industrial plant according to the present invention. As described above, the predicted path (or analogy path) of the driving signal outside the normal driving range is matched with the current driving signal through each step to track the driving signal in the future, and the corresponding alarm alert time and stop By presenting a time point and providing an expected time for the time point, it is possible to secure driving stability.

FIG. 5 is a diagram illustrating an example of a graphic screen for driving signal path tracking and career prediction of an industrial plant according to the present invention. As shown in the figure, by comprehensively displaying the driving signal prediction results obtained in the first to fourth steps, the driving manager can monitor the current driving status displayed and achieve quick situational action.

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 exemplary embodiments. On the contrary, those skilled in the art will appreciate that many modifications and variations of the present invention are possible without departing from the spirit and scope of the appended claims. And all such modifications and changes as fall within the scope of the present invention are therefore to be regarded as being within the scope of the present invention.

Claims (9)

In order to monitor the operation of the industrial plant equipment, the operation signal is provided through the detection means to monitor whether it is in the normal operation range, and the operation monitoring time is divided into caution alarms, boundary alarms, and operation stops, respectively. In the monitoring method through the industrial plant equipment operation monitoring system for the corresponding signal when the warning alarm corresponding to the point of departure of the operating range,
A first step of receiving a driving signal detected through a detecting means for monitoring an industrial plant facility and determining whether the track is out of track when the driving signal is out of a normal driving range;
A second step of providing, by the driving monitoring system, a future anticipated path for the driving signal that has fallen off when the driving signal leaves the track in the first step;
A third step of providing, by the operation monitoring system, an alarm area value corresponding to the expected course when the driving signal progresses along the expected course presented in the second step;
A fourth step of providing, by the operation monitoring system, an estimated time from an alarm point to an alarm point and a trip point in the alarm area; And
A fifth step of synthesizing the information on each step and displaying it on a monitor configured in the driving monitoring system;
In the second step, the prospective course is suggested through the trajectory analysis before and after the deviation of the normal driving range, or the analogous route is provided through the past course DB analysis.
The past path DB tracking of the abnormal operation signal path of the industrial plant equipment, characterized in that the operation signal value from the abnormal symptom start point and before the abnormal symptom start point corresponding to the time point outside the normal operation range (attention warning) is stored. And career prediction methods. delete delete delete The method of claim 1, wherein the process of extracting the analogy image,
The abnormal operation signal path tracking of an industrial plant facility, characterized by extracting from the past course DB the curve having a career shape most similar to the ongoing operation signal by moving away from the normal operation range and providing the expected course reference. Career prediction method. The method of claim 1, wherein the second step,
12. An abnormal operation signal path tracking and path prediction method of an industrial plant facility, comprising: calculating an expected path by applying both an operation signal value within a normal operation range and an operation signal value outside a normal operation range. The method of claim 1, wherein the second step,
The abnormal operation signal path tracking and the path prediction method of the industrial plant equipment, characterized in that by loading and matching the same or similar to the operation signal value stored in the past path DB, and the expected path according to the loaded operation signal value. The method of claim 1, wherein the third step,
When the abnormal operation signal proceeds to the expected course, an alarm value is provided to notify the user of entering the boundary area, and the abnormal operation signal path tracking and the path of the industrial plant facility, which is provided according to the same criteria set when designing the industrial plant. Forecast method. The method of claim 1, wherein the fourth step,
It provides the time required to reach the boundary alarm and operation stop from the departure of the normal operation range, and also provides the time required to reach the warning area when proceeding to the past course or the expected course provided in the third step Path tracking and path prediction method of abnormal operation signal of industrial plant equipment.

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