Abnormal inspection monitoring method and monitoring system for rotating machinery of thermal power plant

Abstract

The invention discloses a thermal power plant rotating machine abnormity inspection monitoring method and monitoring system, and relates to the technical field of rotating machine abnormity inspection, and the method comprises the steps: analyzing and obtaining a rotating machine marked as an abnormal object according to the change values of vibration data detected last time and nearly X pieces of vibration data; then, according to the maintenance data of the abnormal object, determining a weight value used for representing the maintenance inspection emergency degree, and according to the weight value of the abnormal object and the distance between the position of the abnormal object and a maintenance point, arranging an inspection route according to different importance; and meanwhile, the weight of the inspection task can be judged, and when the inspection task is too heavy, the inspection task can be automatically split into a plurality of paths, so that the tasks are reasonably distributed.

Description

Technical Field

[0001] The invention belongs to the technical field of abnormal inspection of rotating machinery, and in particular relates to an abnormal inspection monitoring method and a monitoring system for rotating machinery in a thermal power plant. Background Art

[0002] The abnormalities of rotating machinery in thermal power plants mainly include rotor mass imbalance, friction, coupling misalignment, unit rotation center deviation, oil system failure and rotor bending, etc. These abnormalities not only affect the normal operation of the equipment, but may also lead to serious safety accidents.

[0003] The rotor mass imbalance is mainly reflected in the original mass imbalance, rotor thermal bending, and the flying or loosening of rotating parts; the friction effect is mainly reflected in the dynamic and static friction and the change of fluid channel;

[0004] The misalignment of the coupling is mainly manifested in bending moment and shear force, bearing force, deviation of the unit's rotation center, insufficient warm-up time, etc.

[0005] In summary, there are many types of abnormalities in rotating machinery of thermal power plants, and each abnormality has its specific manifestation and cause.

[0006] However, for abnormal inspections of rotating machinery, if a preliminary monitoring is conducted to determine suspected problems, there is a lack of an efficient and reasonable technical solution for manually determining and repairing the machinery with suspected problems. Based on this, the present application provides a solution. Summary of the invention

[0007] The present invention aims to solve at least one of the technical problems existing in the prior art;

[0008] To this end, the present invention proposes a method and system for abnormal inspection and monitoring of rotating machinery in a thermal power plant, the method specifically comprising the following steps:

[0009] The vibration data of all rotating machinery is obtained, and a suspected signal is initially generated based on the change value of the most recently detected vibration data and the nearly X vibration data. When a suspected signal is generated, it will automatically determine whether the most recent vibration data has a large deviation compared to the nearly X vibration data to generate an abnormal signal. When the abnormal signal is generated at a ratio exceeding the set value within the set time, the corresponding rotating machinery is automatically marked as an abnormal object;

[0010] Then, the weight value used to indicate the urgency of the maintenance inspection is determined according to the maintenance data of the abnormal object, and the inspection route is arranged according to different importance according to the weight value of the abnormal object and the distance between its location and the maintenance point.

[0011] Furthermore, the vibration data is obtained in the following manner:

[0012] First, a vibration detection device is set at the rotating machinery to obtain vibration data of the vibration detection device, the vibration data is obtained at a set period, and the obtained data is intercepted. When a series of periodic data is obtained, only X pieces of data at the latest time are retained, where X is a preset value.

[0013] Vibration data Di are obtained, i=1, ..., X, where DX represents the vibration data at the latest moment.

[0014] Further, the vibration data is one or both of amplitude and frequency.

[0015] Furthermore, the vibration data is analyzed to obtain suspected signals and abnormal signals in the following manner:

[0016] Get the maximum difference between DX and all other data. When the maximum difference exceeds X1, a suspected signal is generated. At this time, the deviation calculation will be automatically performed. The deviation calculation method is:

[0017] Get Di, i=1, ..., X-1, and use the formula to calculate its aggregation value H. The specific formula is:

[0018]

[0019] Where P is the mean value of Di, i=1,...,X-1;

[0020] Then substitute X into Di, recalculate the aggregate value H1, and then subtract H1 from H1 to get the deviation value. When the deviation value exceeds X2, an abnormal signal is generated.

[0021] The T1 time is continuously monitored. T1 is also a preset value. Every time a new vibration data is obtained, it will replace DX and be substituted into the above steps of generating abnormal signals for analysis to monitor whether new abnormal signals are generated.

[0022] Furthermore, the method of determining the abnormal object is:

[0023] When the suspicious signals detected within T1 are divided by the number of new vibration data obtained, the obtained value is marked as the suspected ratio. When the suspected ratio exceeds B1, the rotating machinery at the corresponding position is marked as an abnormal object.

[0024] Real-time monitoring to obtain all abnormal objects.

[0025] Furthermore, the specific method for obtaining the weight value of the abnormal object is:

[0026] Collect data on abnormal objects, and collect maintenance data of all abnormal objects. The maintenance data includes usage value, maintenance times and last value. The usage value refers to the length of time the corresponding abnormal object, i.e. the rotating machinery, has been used, the maintenance times refers to the number of times the rotating machinery has been repaired, and the last value refers to the actual amount of loss caused by the most recent problem with the abnormal object, which is calculated by the administrator and entered by the administrator.

[0027] Then, the weight value is calculated according to the maintenance data of the abnormal object. The specific calculation method of the weight value is:

[0028] Weight value = 0.36*use value + 0.41*repair times + 0.23*last generation value;

[0029] Get the weight values ​​of all abnormal objects;

[0030] Furthermore, the inspection route is determined by path planning, and the specific method of path planning is as follows:

[0031] First, several paths from the maintenance point to each abnormal object are obtained. The maintenance point refers to the area where the maintenance personnel or inspection personnel are located. The path here refers to a path starting from the maintenance point and returning to the maintenance point, and the path includes the locations of all abnormal objects.

[0032] Then sort the paths from small to large according to their length, and mark the top eight paths as potential paths;

[0033] Choose any potential path, obtain the abnormal objects that the path passes through in sequence, and then analyze the abnormal objects in order. First, obtain the second abnormal object in the potential path and obtain its weight value. When the weight value of the second abnormal object is higher than the weight value of the first abnormal object, the reverse value is recorded as 1; if the weight value of the third abnormal object is higher than the first two abnormal objects, the reverse value is recorded as 2, and each subsequent abnormal object is continuously analyzed to obtain the reverse value corresponding to each abnormal object, and all reverse values ​​are accumulated to obtain the reverse total value of the corresponding path;

[0034] The same process is performed on the remaining potential paths to obtain the total inverse value of all potential paths;

[0035] Step 4: Obtain the total reverse value of all potential paths, and simultaneously obtain the total length of all potential paths, and calculate the selected value according to the formula. The specific formula is:

[0036] Selected value = 0.63*total reverse value + 0.37*total length;

[0037] Then, the selection values ​​of all potential paths are obtained, and the one with the smallest selection value is marked as the target path.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] The present invention analyzes the rotating machinery marked as abnormal objects based on the most recently detected vibration data and the change value of the nearly X vibration data; then determines the weight value used to indicate the urgency of the maintenance inspection according to the maintenance data of the abnormal object, and arranges the inspection route according to different importance according to the weight value of the abnormal object and the distance between the location and the maintenance point;

[0040] At the same time, it can also judge the importance of the inspection task. When the inspection task is too heavy, it can automatically split it into several paths to reasonably distribute the task. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a flow chart of Embodiment 1 of the present invention;

[0042] Figure 2 This is a flow chart of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0043] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] See also Figure 1-Figure 2 , the present application provides a method for abnormal inspection and monitoring of rotating machinery in a thermal power plant;

[0045] As an embodiment 1 of the present application, the method specifically includes the following steps:

[0046] Step 1: First, set up the environment. The specific setting method is:

[0047] First, set up vibration detection equipment at the rotating machinery. This type of equipment is used to detect the vibration of the rotating machinery. It can be arranged at the corresponding position with the help of vibration sensors or other vibration detection instruments. After the data is obtained, it can be analyzed and remotely transmitted with the help of locally deployed instruments. Of course, the vibration detection here can also be done with the help of a combination of handheld devices and vibration monitoring probes, which can easily collect vibration data at different parts of the equipment. This combination not only improves the monitoring efficiency, but also makes data collection more comprehensive. The RFID reader identifies the entry point, and the RFID reader identifies the equipment identification to ensure that the data of each monitoring point can accurately correspond to the corresponding equipment. The specific situation can be determined according to the on-site conditions.

[0048] The vibration data of the vibration detection device is obtained, and the vibration data is one or both of the amplitude and the frequency. The vibration data is obtained at a set period, and the obtained data is intercepted. The interception method is: when a series of periodic data is obtained, only the latest X data will be retained, where X is a preset value, and generally the most recent 60 data are taken;

[0049] Obtain vibration data Di, i=1, ..., X, where DX represents the vibration data at the latest moment;

[0050] Analyze the vibration data and obtain the maximum difference between DX and all other data. When the maximum difference exceeds X1, a suspected signal is generated. At this time, the deviation calculation will be automatically performed. The deviation calculation method is:

[0051] Get Di, i=1, ..., X-1, and use the formula to calculate its aggregation value H. The specific formula is:

[0052]

[0053] Where P is the mean value of Di, i=1,...,X-1;

[0054] Then substitute X into Di, recalculate the aggregate value H1, and then subtract H1 from H1 to get the deviation value. When the deviation value exceeds X2, an abnormal signal is generated.

[0055] Continuously monitor T1 time, which is also a preset value. Every time a new vibration data is obtained, it will replace DX and be substituted into the above steps of generating abnormal signals for analysis to monitor whether a new abnormal signal is generated;

[0056] When the suspicious signals detected within T1 are divided by the number of new vibration data obtained, the obtained value is marked as the suspected ratio. When the suspected ratio exceeds B1, the rotating machinery at the corresponding position is marked as an abnormal object.

[0057] Real-time monitoring to obtain all abnormal objects;

[0058] Step 2: Collect data on abnormal objects, and collect maintenance data of all abnormal objects. The maintenance data includes usage value, maintenance times and last value. The usage value refers to the length of time the corresponding abnormal object, i.e. the rotating machinery, has been used, the maintenance times refers to the number of times the rotating machinery has been repaired, and the last value refers to the actual amount of loss caused by the most recent abnormal object problem. This can be obtained through statistics by the administrator and entered by the administrator.

[0059] Then, the weight value is calculated according to the maintenance data of the abnormal object. The specific calculation method of the weight value is:

[0060] Weight value = 0.36*use value + 0.41*repair times + 0.23*last generation value;

[0061] Get the weight values ​​of all abnormal objects;

[0062] Step 3: Get all abnormal objects and their weight values, and then perform path planning. The specific method of path planning is as follows:

[0063] First, several paths from the maintenance point to each abnormal object are obtained. The maintenance point refers to the area where the maintenance personnel or inspection personnel are located. The path here refers to a path starting from the maintenance point and returning to the maintenance point, and the path includes the locations of all abnormal objects.

[0064] Then sort the paths from small to large according to their length, and mark the top eight paths as potential paths;

[0065] Choose any potential path, obtain the abnormal objects that the path passes through in sequence, and then analyze the abnormal objects in order. First, obtain the second abnormal object in the potential path and obtain its weight value. When the weight value of the second abnormal object is higher than the weight value of the first abnormal object, the reverse value is recorded as 1; if the weight value of the third abnormal object is higher than the first two abnormal objects, the reverse value is recorded as 2, and each subsequent abnormal object is continuously analyzed to obtain the reverse value corresponding to each abnormal object, and all reverse values ​​are accumulated to obtain the reverse total value of the corresponding path;

[0066] The same process is performed on the remaining potential paths to obtain the total inverse value of all potential paths;

[0067] Step 4: Obtain the total reverse value of all potential paths, and simultaneously obtain the total length of all potential paths, and calculate the selected value according to the formula. The specific formula is:

[0068] Selected value = 0.63*total reverse value + 0.37*total length;

[0069] Then, the selection values ​​of all potential paths are obtained, and the path with the smallest selection value is marked as the target path;

[0070] As the second embodiment of the present application, this embodiment is implemented on the basis of the first embodiment, and the difference from the first embodiment is that:

[0071] In this embodiment, before calculating the selection values ​​of all potential paths and determining the target path, the following steps need to be performed, specifically:

[0072] If the minimum value among the selection values ​​of the potential path exceeds the set selection threshold, it needs to be divided into two or more paths for processing. The specific number of paths is calculated by dividing the minimum value of the selection value by the selection threshold. If the value is an integer, it is automatically marked as the number of divisions. If it is not an integer, it needs to be rounded up and then added to 1 to mark the number of divisions.

[0073] After obtaining the number of divisions, the abnormal objects are divided into groups of corresponding division numbers in the same way as they are evenly divided, and then the inspection and analysis are performed. The specific method is as follows:

[0074] First, the abnormal objects are divided into groups with the same corresponding division number value, and the abnormal objects in each group need to ensure that the planned paths do not differ by more than the set path threshold; then the target path is determined in the same way as for a group in the first embodiment;

[0075] After the target path is determined, the maximum value of the weight values ​​of all abnormal objects in the corresponding target path is obtained, and the divided target paths are sorted according to the maximum value;

[0076] Then, the working hours of the maintenance personnel are obtained, and the working hours are matched with the target path from largest to smallest to complete the arrangement of the maintenance personnel.

[0077] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for abnormal inspection and monitoring of rotating machinery in a thermal power plant, characterized in that: The method specifically comprises the following steps: The vibration data of all rotating machinery is obtained, and a suspected signal is initially generated based on the change value of the most recently detected vibration data and the nearly X vibration data. When a suspected signal is generated, it will automatically determine whether the most recent vibration data has a large deviation compared to the nearly X vibration data to generate an abnormal signal. When the abnormal signal is generated at a ratio exceeding the set value within the set time, the corresponding rotating machinery is automatically marked as an abnormal object; Then, the weight value used to indicate the urgency of the maintenance inspection is determined according to the maintenance data of the abnormal object, and the inspection route is arranged according to different importance according to the weight value of the abnormal object and the distance between its location and the maintenance point.

2. The abnormal inspection and monitoring method for rotating machinery in a thermal power plant according to claim 1 is characterized in that: The vibration data acquisition method is: First, a vibration detection device is set at the rotating machinery to obtain vibration data of the vibration detection device, the vibration data is obtained at a set period, and the obtained data is intercepted. When a series of periodic data is obtained, only X pieces of data at the latest time are retained, where X is a preset value. Vibration data Di are obtained, i=1, ..., X, where DX represents the vibration data at the latest moment.

3. The abnormal inspection and monitoring method for rotating machinery in a thermal power plant according to claim 2 is characterized in that: The vibration data is one or both of amplitude and frequency.

4. The abnormal inspection and monitoring method for rotating machinery in a thermal power plant according to claim 3 is characterized in that: The method of analyzing vibration data to obtain suspected signals and abnormal signals is as follows: Get the maximum difference between DX and all other data. When the maximum difference exceeds X1, a suspected signal is generated. At this time, the deviation calculation will be automatically performed. The deviation calculation method is: Get Di, i=1, ..., X-1, and use the formula to calculate its aggregation value H. The specific formula is: Where P is the mean value of Di, i=1,...,X-1; Then substitute X into Di, recalculate the aggregate value H1, and then subtract H1 from H1 to get the deviation value. When the deviation value exceeds X2, an abnormal signal is generated. The T1 time is continuously monitored. T1 is also a preset value. Every time a new vibration data is obtained, it will replace DX and be substituted into the above steps of generating abnormal signals for analysis to monitor whether new abnormal signals are generated.

5. The abnormal inspection and monitoring method for rotating machinery in a thermal power plant according to claim 4 is characterized in that: The way to determine the exception object is: When the suspicious signals detected within T1 are divided by the number of new vibration data obtained, the obtained value is marked as the suspected ratio. When the suspected ratio exceeds B1, the rotating machinery at the corresponding position is marked as an abnormal object. Real-time monitoring to obtain all abnormal objects.

6. The abnormal inspection and monitoring method for rotating machinery in a thermal power plant according to claim 5 is characterized in that: The specific method for obtaining the weight value of an abnormal object is: Collect data on abnormal objects, and collect maintenance data of all abnormal objects. The maintenance data includes usage value, maintenance times and last value. The usage value refers to the length of time the corresponding abnormal object, i.e. the rotating machinery, has been used, the maintenance times refers to the number of times the rotating machinery has been repaired, and the last value refers to the actual amount of loss caused by the most recent problem with the abnormal object, which is calculated by the administrator and entered by the administrator. Then, the weight value is calculated according to the maintenance data of the abnormal object. The specific calculation method of the weight value is: Weight value = 0.36*use value + 0.41*repair times + 0.23*last generation value; Get the weight values ​​of all abnormal objects.

7. The abnormal inspection and monitoring method for rotating machinery in a thermal power plant according to claim 6 is characterized in that: The inspection route is determined through path planning. The specific method of path planning is as follows: First, several paths from the maintenance point to each abnormal object are obtained. The maintenance point refers to the area where the maintenance personnel or inspection personnel are located. The path here refers to a path starting from the maintenance point and returning to the maintenance point, and the path includes the locations of all abnormal objects. Then sort the paths from small to large according to their length, and mark the top eight paths as potential paths; Choose any potential path, obtain the abnormal objects that the path passes through in sequence, and then analyze the abnormal objects in order. First, obtain the second abnormal object in the potential path and obtain its weight value. When the weight value of the second abnormal object is higher than the weight value of the first abnormal object, the reverse value is recorded as 1; if the weight value of the third abnormal object is higher than the first two abnormal objects, the reverse value is recorded as 2, and each subsequent abnormal object is continuously analyzed to obtain the reverse value corresponding to each abnormal object, and all reverse values ​​are accumulated to obtain the reverse total value of the corresponding path; The same process is performed on the remaining potential paths to obtain the total inverse value of all potential paths; Step 4: Obtain the total reverse value of all potential paths, and simultaneously obtain the total length of all potential paths, and calculate the selected value according to the formula. The specific formula is: Selected value = 0.63*total reverse value + 0.37*total length; Then, the selection values ​​of all potential paths are obtained, and the one with the smallest selection value is marked as the target path.

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