CN113741378B - Fault analysis method and system for background abnormal point high-frequency acquisition of distributed control system - Google Patents
Fault analysis method and system for background abnormal point high-frequency acquisition of distributed control system Download PDFInfo
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by quality surveillance of production
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/33—Director till display
- G05B2219/33273—DCS distributed, decentralised controlsystem, multiprocessor
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The invention discloses a fault analysis method for background abnormal point high-frequency acquisition of a distributed control system, which is characterized in that when a certain measuring point value is abnormal, a high-frequency sampling sequence is added into the point, measuring points in a measuring point list of high-frequency sampling are sampled by using high-frequency sampling, high-frequency sampling information of a fault measuring point is obtained, high-precision sampling and coexistence of a history library are realized, acquired history data are drawn through a curve, and under high-frequency acquisition, more detailed history data are drawn into a smoother and more precise curve, so that an operator can conveniently analyze and check abnormal problems.
Description
Technical Field
The invention belongs to the field of fault analysis, and particularly relates to a fault analysis method and system for background abnormal point high-frequency acquisition of a distributed control system.
Background
The real-time database of the distributed control system DCS plays a role of a central link, data sharing is carried out, and each execution code exchanges data with the real-time database and is used for storing information in the aspects of field acquired data, control output, intermediate results of certain calculations, control algorithm structures and the like. In the operation process of the system, an operator can analyze the positioning problem by analyzing a historical curve and the like. However, due to the limited performance of the background, the frequency of the measuring point data set is limited, it is difficult to ensure the high-frequency acquisition of all measuring points, effective information for problem analysis may be missed, and the drawn data curve cannot accurately reflect the change process of abnormal data. (the sampling frequency of the existing measurement data set is basically fixed frequency and low-frequency sampling, the network load of a high-frequency sampling system is heavy, the data volume is large, and the storage and fault analysis difficulty is large.) if the acquisition frequency of an abnormal point is higher, the acquired data is more detailed, and the drawn curve can reflect the abnormal problem more accurately.
Disclosure of Invention
The invention aims to overcome the defects and provides a fault analysis method and a fault analysis system for background abnormal point high-frequency acquisition of a distributed control system, which realize high-precision sampling and coexistence of a historical library, draw acquired historical data through an analysis curve, draw a smoother and more accurate curve according to more detailed historical data under high-frequency acquisition and facilitate an operator to analyze and check abnormal problems.
In order to achieve the above object, the present invention comprises the steps of:
constructing a high-frequency sampling measuring point list, wherein the high-frequency sampling measuring point list is used for storing fault measuring points;
sampling the measuring points in the measuring point list of the high-frequency sampling by using the high-frequency sampling to obtain high-frequency sampling information of the fault measuring points;
according to the high-frequency sampling data of the fault measuring point sequences stored in the database, in a coordinate system with time as an abscissa and numerical values as an ordinate, a curve is drawn according to the acquisition time and the ordinate according to sampling values according to the abscissa time, and faults are analyzed according to the curve.
The method for constructing the measuring point list of the high-frequency samples comprises the following steps:
starting a high-frequency sampling process, wherein the high-frequency sampling process runs a measuring point updating thread to maintain a high-frequency sampling measuring point subscription list, and the subscription list subscribes all measuring points needing high-frequency sampling;
and starting a message monitoring mechanism in the measuring point updating thread, and monitoring and updating the event of the high-frequency sampling measuring point subscription list.
When the measuring point list of high-frequency sampling is constructed, when alarm out-of-limit data of a certain analog measuring point is acquired, the analog measuring point is taken as a fault measuring point, and a high-frequency measuring point increasing event is sent to a measuring point updating thread of a high-frequency sampling process;
and when the alarm reset data of a certain fault measuring point is acquired, sending a high-frequency measuring point deleting event to a measuring point updating thread of the high-frequency sampling process.
The event content of the high-frequency measuring point increase event comprises the measuring point identifier and the measuring point increase mark of the analog quantity.
The event content of the high-frequency measuring point deleting event comprises a measuring point identifier and a measuring point deleting mark of the analog quantity.
When the measuring point updating thread of the high-frequency sampling process is used, monitoring measuring point adding/deleting events in real time, and executing updating actions: if the current event is a measuring point increasing event, judging whether a high-frequency measuring point subscription list in a measuring point list of the current high-frequency sampling contains the analog measuring point, and if not, adding the analog measuring point to the tail of the high-frequency measuring point subscription list; and if the current event is a measuring point deletion event, judging whether the current high-frequency measuring point subscription list contains the analog measuring point, and if so, deleting the analog measuring point from the high-frequency measuring point subscription list.
The judgment process of the fault measuring point is as follows:
when an alarm acquisition program of a background system acquires alarm out-of-limit data of a certain analog measurement point sent by a process control station, sending a high-frequency measurement point increasing event to a measurement point updating thread of a high-frequency sampling process;
and when the alarm acquisition program of the background system acquires the alarm reset data of a certain analog measurement point sent by the process control station, sending a high-frequency measurement point deletion event to the measurement point updating thread of the high-frequency sampling process.
The specific method for obtaining the high-frequency sampling information of the fault measuring point comprises the following steps:
and running a high-frequency data acquisition thread in the high-frequency sampling process, requesting real-time values of all measuring points in a high-frequency sampling subscription list in the measuring point list of the high-frequency sampling from the process control station by the high-frequency data acquisition thread at a preset sampling frequency, and storing the real-time values into a database.
A fault analysis system for background abnormal point high-frequency acquisition of a distributed control system is characterized in that,
the system comprises a high-frequency sampling construction unit, a background system and a fault analysis unit;
the high-frequency sampling construction unit is used for constructing a measuring point list of high-frequency sampling and sending the measuring point list of the high-frequency sampling to the background system;
the background system is used for sampling the measuring points in the measuring point list of the high-frequency sampling according to the high-frequency sampling to obtain the high-frequency sampling information of the fault measuring points and sending the high-frequency sampling information to the fault analysis unit;
the fault analysis unit is used for combining high-frequency sampling data of fault measuring point sequences stored in the database, drawing a curve according to the acquisition time and the sampling value of the ordinate value according to the abscissa time in a coordinate system taking the time as the abscissa and the numerical value as the ordinate, and analyzing the fault according to the curve.
And the high-frequency sampling measuring point list is used for storing fault measuring points.
Compared with the prior art, when a certain measurement point value is abnormal, the high-frequency sampling sequence is added into the point, the measurement points in the measurement point list of the high-frequency sampling are sampled by the high-frequency sampling, the high-frequency sampling information of the fault measurement points is obtained, high-precision sampling and coexistence of a historical library are realized, the collected historical data is drawn through a curve, under the high-frequency collection, the more detailed historical data is drawn into a smoother and more precise curve, and an operator can conveniently analyze and check the abnormal problem.
According to the system, by the aid of the high-frequency sampling construction unit, the background system and the fault analysis unit, when a certain measuring point is in an alarm state beyond a high limit, the measuring point value is sampled at high precision and is stored in the history library, collected historical data are drawn through curves, curve drawing software is facilitated to draw a smoother and more accurate curve by means of more detailed historical data, and an operator can conveniently and accurately check abnormal problems of an analog measuring point.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a flow chart of an increment event in the present invention;
FIG. 3 is a flow chart of the deletion event of the present invention;
fig. 4 is a block diagram of the system of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
Referring to fig. 1, the present invention comprises the steps of:
1. constructing a measuring point list of high-frequency sampling; the high-frequency sampling measuring point list is used for storing fault measuring points;
1.1, starting a high-frequency sampling process, wherein a measuring point updating thread is operated in the process to maintain a high-frequency sampling measuring point subscription list, and the list subscribes all measuring points needing high-frequency sampling; and starting a message monitoring mechanism in the measuring point updating thread, monitoring an event for updating the high-frequency sampling measuring point subscription list, and binding a high-frequency sampling measuring point subscription list updating processing function.
1.2, monitoring a measuring point adding/deleting event in real time by a measuring point updating thread of a high-frequency sampling process, and executing a high-frequency measuring point subscription list updating action: if the current event is a measuring point increasing event, judging whether a high-frequency measuring point subscription list in a measuring point list of the current high-frequency sampling contains the analog measuring point, and if not, adding the analog measuring point to the tail of the high-frequency measuring point subscription list; and if the current event is a measuring point deletion event, judging whether the current high-frequency measuring point subscription list contains the analog measuring point, and if so, deleting the analog measuring point from the high-frequency measuring point subscription list.
2. Sampling the measuring points in the measuring point list of the high-frequency sampling by using the high-frequency sampling to obtain high-frequency sampling information of the fault measuring points; (frequency of high-frequency sampling is 30-100 ms) a high-frequency data acquisition thread is operated in the high-frequency sampling process, and the thread requests real-time values of all measuring points in the high-frequency sampling subscription list from the process control station at a higher sampling frequency (for example, every 50 ms) and stores the real-time values into a historical database.
The judgment process of the fault measuring point is as follows:
when an alarm acquisition program of a background system acquires alarm out-of-limit data of an analog measurement point sent by a process control station, the analog measurement point is used as a fault measurement point, a high-frequency measurement point increasing event is sent to a measurement point updating thread of a high-frequency sampling process, and the event content comprises: the analog quantity of station identifiers and station increment marks.
When an alarm acquisition program of a background system acquires alarm recovery data of a measuring point in a measuring point list of a certain fault high-frequency sampling sent by a process control station, a high-frequency measuring point deleting event is sent to a measuring point updating thread of a high-frequency sampling process, wherein the event content comprises: the measurement point identifier and the measurement point deletion mark of the analog quantity.
And if the alarm acquisition program of the background system acquires the out-of-limit alarm message of a certain analog measurement point sent by the process control station, sending the identifier of the analog measurement point to the high-frequency sampling process. And the high-frequency sampling process monitors an analog measuring point identifier from an alarm acquisition program in real time, and if the high-frequency measuring point subscription list does not contain the analog measuring point, the analog measuring point is added to the tail part of the high-frequency measuring point subscription list, and the measuring points in the updated list are subjected to high-frequency sampling.
If an alarm acquisition program of the background system acquires an alarm reset message of a certain analog measurement point sent by the process control station, sending identification information of the point to a high-frequency sampling process; and the high-frequency sampling process monitors a measuring point unsubscribe message from the alarm acquisition program, and if the subscribed high-frequency measuring point subscription list contains the measuring point in the message, the point is deleted from the list, and the high-frequency sampling is continuously carried out on the measuring point in the updated list.
Starting a high-frequency sampling process, wherein the process maintains a high-frequency sampling measuring point subscription list, the list subscribes all measuring points needing high-frequency sampling, and the high-frequency sampling process requests real-time values of all measuring points in the high-frequency sampling subscription list from a process control station at a higher sampling frequency (for example, every 50 ms) and stores the real-time values into a historical database.
3. When the fault is drawn and analyzed through a curve, high-frequency sampling data of a fault measuring point sequence stored in a historical database are utilized, and in a coordinate system with time as an abscissa and numerical values as an ordinate, the curve which is more accurate than low-frequency sampling is drawn according to the collection time of the abscissa and the tracing value of the ordinate according to the sampling value to draw points.
Referring to fig. 4, a fault analysis system for high-frequency acquisition of background abnormal points of a base distributed control system includes a high-frequency sampling construction unit, a background system and a fault analysis unit;
the high-frequency sampling construction unit is used for constructing a high-frequency sampling measuring point list and sending the high-frequency sampling measuring point list to the background system, and the high-frequency sampling measuring point list is used for storing fault measuring points;
the background system is used for sampling the measuring points in the measuring point list of the high-frequency sampling according to the high-frequency sampling to obtain high-frequency sampling information of the fault measuring points and sending the high-frequency sampling information to the fault analysis unit;
and the fault analysis unit is used for combining the high-frequency sampling data of the fault measuring point sequence stored in the database, drawing a curve according to the acquisition time and the sampling value by the ordinate value according to the abscissa time in a coordinate system taking the time as the abscissa and the numerical value as the ordinate, and analyzing the fault according to the curve.
Example (b):
1. constructing a measuring point list of high-frequency sampling; the high-frequency sampling measuring point list is used for storing fault measuring points;
1.1, starting a high-frequency sampling process, wherein a measuring point updating thread is operated in the process to maintain a high-frequency sampling measuring point subscription list, and the list subscribes all measuring points needing high-frequency sampling; and starting a message monitoring mechanism in the measuring point updating thread, monitoring an event for updating the high-frequency sampling measuring point subscription list, and binding a high-frequency sampling measuring point subscription list updating processing function.
1.2, when the analog measurement point AI1 is in a high-high limit state, sending an alarm out-of-limit message of the analog measurement point from the process control station, receiving the message by an alarm acquisition program of the background system, analyzing the message, and sending a high-frequency measurement point increase event to a measurement point update thread of a high-frequency sampling process, wherein the event content includes: measurement point identifier of the analog quantity: AI1, station increase flag: 1.
and 1.3, monitoring a measuring point adding/deleting event in real time by a measuring point updating thread of the high-frequency sampling process, and judging that the current event is a measuring point adding event according to the measuring point adding mark 1. Therefore, whether the current high-frequency measuring point subscription list contains the analog measuring point with the identifier of AI1 is judged, and if not, the identifier AI1 of the analog measuring point is added to the tail part of the high-frequency measuring point subscription list;
2. and the high-frequency data acquisition thread requests the process control station for real-time values of all measuring points in the high-frequency sampling subscription list including the analog measuring point AI1 every 50ms and stores the real-time values into a history library.
3. And drawing a more refined historical data curve of the analog measurement point AI1 by curve drawing software in a coordinate system taking time as an abscissa and numerical values as an ordinate according to the acquisition time of the abscissa and the drawing point of the ordinate according to the sampling value.
According to the embodiment, when the analog measurement point AI is in a higher-limit alarm state, the measurement point value is sampled at high precision and is stored in the historical library, so that curve drawing software can draw a smoother and more accurate curve by using more detailed historical data, and an operator can analyze and check the abnormal problem of the analog measurement point AI conveniently.
Referring to fig. 2, the flow of the add event is as follows:
sending an alarm message of a certain measuring point on the process control station;
the alarm acquisition process receives and analyzes the alarm message, acquires identifiers of the measuring points, and sends high-frequency measuring point increasing events to a measuring point updating thread of the high-frequency sampling process;
a measuring point updating thread running in the high-frequency sampling process receives and analyzes a high-frequency measuring point increasing event; adding the measuring point identifier into a high-frequency measuring point subscription list;
and sampling the measuring points in the updated high-frequency measuring point subscription list by a high-frequency data acquisition thread running in the high-frequency sampling process at a high frequency, and storing the measuring points in a historical database.
Referring to fig. 3, the flow of deleting an event is as follows:
sending an alarm reset message of a certain measuring point on the process control station;
the alarm acquisition process receives and analyzes the alarm reset message, acquires identifiers of the measuring points, and sends high-frequency measuring point deletion events to a measuring point updating thread of the high-frequency sampling process;
a measuring point updating thread running in the high-frequency sampling process receives and analyzes a high-frequency measuring point deleting event; deleting the measuring point identifier in the high-frequency measuring point subscription list;
and sampling the measuring points in the updated high-frequency measuring point subscription list by a high-frequency data acquisition thread running in the high-frequency sampling process at a high frequency, and storing the measuring points in a historical database.
Claims (7)
1. The fault analysis method for background abnormal point high-frequency acquisition of the distributed control system is characterized by comprising the following steps of:
constructing a high-frequency sampling measuring point list, wherein the high-frequency sampling measuring point list is used for storing fault measuring points;
sampling the measuring points in the measuring point list of the high-frequency sampling by using the high-frequency sampling to obtain high-frequency sampling information of the fault measuring points;
according to high-frequency sampling data of fault measuring point sequences stored in a database, in a coordinate system with time as an abscissa and numerical values as an ordinate, drawing a curve according to the acquisition time and the ordinate according to sampling values according to the abscissa time, and analyzing faults according to the curve;
when a measuring point list of high-frequency sampling is constructed, when alarm out-of-limit data of a certain analog measuring point is acquired, the analog measuring point is used as a fault measuring point, and a high-frequency measuring point increasing event is sent to a measuring point updating thread of a high-frequency sampling process;
when alarm reset data of a certain fault measuring point are collected, a high-frequency measuring point deleting event is sent to a measuring point updating thread of a high-frequency sampling process;
the event content of the high-frequency measuring point deleting event comprises a measuring point identifier and a measuring point deleting mark of the analog quantity;
when the measuring point updating thread of the high-frequency sampling process is used, monitoring measuring point adding/deleting events in real time, and executing updating actions: if the current event is a measuring point increasing event, judging whether a high-frequency measuring point subscription list in a measuring point list of the current high-frequency sampling contains the analog measuring point, and if not, adding the analog measuring point to the tail of the high-frequency measuring point subscription list; and if the current event is a measuring point deletion event, judging whether the current high-frequency measuring point subscription list contains the analog measuring point, and if so, deleting the analog measuring point from the high-frequency measuring point subscription list.
2. The fault analysis method for background abnormal point high-frequency acquisition of the distributed control system as claimed in claim 1, wherein the method for constructing the high-frequency sampled measuring point list is as follows:
starting a high-frequency sampling process, wherein the high-frequency sampling process runs a measuring point updating thread to maintain a high-frequency sampling measuring point subscription list, and the subscription list subscribes all measuring points needing high-frequency sampling;
and starting a message monitoring mechanism in the measuring point updating thread, and monitoring and updating the event of the high-frequency sampling measuring point subscription list.
3. The method for analyzing the faults of background abnormal point high-frequency acquisition of the distributed control system as claimed in claim 1, wherein the event content of the high-frequency measuring point increasing event comprises measuring point identifiers and measuring point increasing marks of the analog quantity.
4. The fault analysis method for background abnormal point high-frequency acquisition of the distributed control system as claimed in claim 1, wherein the judgment process of the fault measuring point is as follows:
when an alarm acquisition program of a background system acquires alarm out-of-limit data of a certain analog measurement point sent by a process control station, sending a high-frequency measurement point increasing event to a measurement point updating thread of a high-frequency sampling process;
and when the alarm acquisition program of the background system acquires the alarm reset data of a certain analog measurement point sent by the process control station, sending a high-frequency measurement point deletion event to the measurement point updating thread of the high-frequency sampling process.
5. The fault analysis method for background abnormal point high-frequency acquisition of the distributed control system according to claim 1, wherein the specific method for obtaining the high-frequency sampling information of the fault measuring point is as follows:
and running a high-frequency data acquisition thread in the high-frequency sampling process, requesting real-time values of all measuring points in a high-frequency sampling subscription list in the measuring point list of the high-frequency sampling from the process control station by the high-frequency data acquisition thread at a preset sampling frequency, and storing the real-time values into a database.
6. The system of the fault analysis method based on the background abnormal point high-frequency acquisition of the distributed control system of claim 1 is characterized by comprising a high-frequency sampling construction unit, a background system and a fault analysis unit;
the high-frequency sampling construction unit is used for constructing a measuring point list of high-frequency sampling and sending the measuring point list of the high-frequency sampling to the background system;
the background system is used for sampling the measuring points in the measuring point list of the high-frequency sampling according to the high-frequency sampling to obtain the high-frequency sampling information of the fault measuring points and sending the high-frequency sampling information to the fault analysis unit;
the fault analysis unit is used for combining high-frequency sampling data of fault measuring point sequences stored in the database, drawing a curve according to the acquisition time and the sampling value of the ordinate value according to the abscissa time in a coordinate system taking the time as the abscissa and the numerical value as the ordinate, and analyzing the fault according to the curve.
7. The system for analyzing faults of background abnormal points of a base decentralized control system according to claim 6, wherein the high-frequency sampled measuring point list is used for storing fault measuring points.
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