Method and system for monitoring rotating machinery of thermal power plant

Abstract

The application discloses a kind of thermal power plant rotating machinery abnormal inspection monitoring method and monitoring system, it is related to rotating machinery abnormal inspection technical field, by the change value of the vibration data and the vibration data of recent X according to last detected, to analyze and obtain the rotating machinery marked as abnormal object;Then according to the weight value of emergency degree for indicating maintenance inspection of the maintenance data of abnormal object, according to the weight value of abnormal object and the distance of location and repair point, arrange inspection route according to different importance;It can also determine the weight of inspection task, when inspection task is too heavy, it can be automatically split into several paths, to reasonably allocate task.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of rotating machinery abnormal inspection, and particularly relates to a rotating machinery abnormal inspection monitoring method and monitoring system for thermal power plants. BACKGROUND

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

[0003] The rotor mass imbalance mainly reflects original mass imbalance, rotor thermal bending, flying or loosening of rotating parts; the friction influence mainly reflects dynamic and static friction and fluid passage change;

[0004] The coupling misalignment mainly reflects bending moment and shear force, bearing acting force, rotating center deviation of the unit and insufficient warm-up time, etc.

[0005] In summary, the abnormalities of rotating machinery in thermal power plants are various, and each type of abnormality has its specific form and cause.

[0006] However, for the abnormal inspection of rotating machinery, if a preliminary monitoring is performed to determine suspected problems, and how to manually determine and repair the machinery with suspected problems, there is a lack of an efficient and reasonable technical solution. Based on this, the present application provides a solution. SUMMARY

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

[0008] To this end, the present application provides a rotating machinery abnormal inspection monitoring method and monitoring system for thermal power plants, which specifically comprises the following steps:

[0009] The vibration data of all rotating machinery are acquired, and a suspected signal is preliminarily generated according to the change value of the last detected vibration data and the last X vibration data. When the suspected signal is generated, it is automatically determined whether a large deviation is generated in the last vibration data compared with the last X vibration data to generate a suspected signal. When the proportion of the suspected signal generated in a set time exceeds a set value, the corresponding rotating machinery is automatically marked as an abnormal object;

[0010] Then, the weight value of the abnormal object for indicating the emergency degree of 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 from the position to the maintenance point.

[0011] Further, the vibration data acquisition method is:

[0012] Firstly, the vibration detection device is set at the rotating machine, and the vibration data of the vibration detection device is obtained, the vibration data is obtained in a set period, and the obtained data is intercepted, and the interception mode is that when a series of periodic data is obtained, only X pieces of data at the latest time are retained, and X is a preset value;

[0013] The vibration data Di, i=1,...,X is obtained, wherein DX represents the vibration data at the latest time.

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

[0015] Further, the way of analyzing the vibration data to obtain suspected signals and suspicious signals is:

[0016] The maximum difference between DX and all other data is obtained, and when the maximum difference exceeds X1, a suspected signal is generated; at this time, deviation calculation is automatically performed, and the deviation calculation method is:

[0017] Di, i=1,...,X-1 is obtained, and the aggregate value H is calculated using the formula, and the specific formula is:

[0018]

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

[0020] Then X is also substituted into Di, and the aggregate value H1 is recalculated, and then H1-H is obtained to obtain the deviation value, and when the deviation value exceeds X2, a suspicious signal is generated;

[0021] T1 time is continuously monitored, and T1 is also a preset value, and each time a new vibration data is obtained, it is replaced by DX and substituted into the above step of generating a suspicious signal to analyze whether a new suspicious signal is generated.

[0022] Further, the way of determining the abnormal object is:

[0023] When the suspicious signals detected in T1 time are divided by the number of new vibration data obtained, the value obtained is marked as suspected proportion, and when the suspected proportion exceeds B1, the rotating machine at the corresponding position is marked as an abnormal object;

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

[0025] Further, the specific way of obtaining the weight value of the abnormal object is:

[0026] Data collection is performed on the abnormal object, and all maintenance data of the abnormal object are collected, including the use value, the maintenance times and the last time value. The use value refers to the time length of the rotating machinery that has been used for the corresponding abnormal object. The maintenance times refer to the number of times that the rotating machinery is maintained. The last time value refers to the actual amount of money loss caused by the last time that the abnormal object fails. The value is obtained by the administrator and is input 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 as follows:

[0028] Weight value = 0.36*use value + 0.41*maintenance times + 0.23*last time value;

[0029] The weight value of all abnormal objects is obtained.

[0030] Further, the inspection route is determined by path planning. The specific method of path planning is as follows:

[0031] Firstly, a plurality of paths from the maintenance point to each abnormal object are obtained. The maintenance point refers to the area where the maintenance personnel or the maintenance personnel are located. The path here refers to a path starting from the maintenance point and returning to the maintenance point, and the path contains all the positions of the abnormal objects.

[0032] Then, the paths are sorted from small to large according to the length of the paths, and the top eight paths are marked as potential paths.

[0033] An optional potential path is obtained, and the abnormal objects successively passed through the path are obtained. Then, the abnormal objects are analyzed in order. The weight value of the second abnormal object in the potential path is obtained. When the weight value of the second abnormal object is higher than that of the first abnormal object, the reverse value is recorded as 1. If the weight value of the third abnormal object is higher than that of the first two abnormal objects, the reverse value is recorded as 2. The subsequent each abnormal object is continuously analyzed to obtain the reverse value corresponding to each abnormal object. All the reverse values are added to obtain the reverse total value of the corresponding path.

[0034] The same processing is performed on the remaining potential paths to obtain the reverse total value of all potential paths.

[0035] Step four: the reverse total value of all potential paths is obtained, and the total length of all potential paths is obtained. The selection value is calculated according to the formula, and the specific formula is as follows:

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

[0037] Then, the selection value of all potential paths is obtained, and the target path is marked as the selection value of the minimum.

[0038] Compared with the prior art, the present application has the following advantages:

[0039] The present application analyzes the rotating machinery marked as an abnormal object according to the change value of the last detected vibration data and the X vibration data, and then determines the weight value of the abnormal object according to the maintenance data of the abnormal object, arranges the inspection route according to the weight value of the abnormal object and the distance from the position to the maintenance point, and arranges the inspection route according to different importance;

[0040] Meanwhile, the inspection task can be determined, and when the inspection task is too heavy, it can be automatically split into several paths, so as to reasonably allocate the task. BRIEF DESCRIPTION OF DRAWINGS

[0041] Fig. 1 The flowchart of the first embodiment of the present application;

[0042] Fig. 2 The flowchart of the second embodiment of the present application. DETAILED DESCRIPTION

[0043] The technical solutions of the present application will be described in detail below with reference to the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0044] Please refer to Figs. 1-2 The present application provides a rotating machinery abnormal inspection monitoring method for thermal power plants;

[0045] As the first embodiment of the present application, the method specifically comprises the following steps:

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

[0047] First, set the vibration detection equipment at the rotating machinery. The equipment is used to detect the vibration of the rotating machinery, and can be arranged at the corresponding position by means of vibration sensor or other vibration detection instrument. After obtaining the data, the instrument can be analyzed and transmitted remotely. Of course, the vibration detection can also be combined with a handheld device and a vibration monitoring probe, which can conveniently collect vibration data at different parts of the equipment. This combination not only improves the monitoring efficiency, but also makes the data collection more comprehensive. The RFID card reader identifies the entry point, and the RFID card reader identifies the equipment identification, so that the data of each monitoring point can be accurately corresponded to the corresponding equipment. The specific method can be determined according to the site situation;

[0048] The vibration data of the vibration detection device is obtained, the vibration data is one or both of the amplitude and the vibration frequency, the vibration data is obtained at a set period, and the obtained data is intercepted, and the interception mode is that when a series of periodic data is obtained, only X pieces of data at the latest time are retained, X is a preset value, and generally, the last 60 pieces of data are taken;

[0049] The vibration data Di, i=1,...,X, is obtained, wherein DX represents the vibration data at the latest time;

[0050] The vibration data is analyzed, the maximum difference between DX and all other data is obtained, and when the maximum difference exceeds X1, a suspected signal is generated, and at this time, deviation calculation is automatically performed, and the deviation calculation mode is:

[0051] Di, i=1,...,X-1, is obtained, and the aggregate value H is calculated using the formula, and the specific formula is:

[0052]

[0053] In the formula, P is the average value of Di, i=1,...,X-1;

[0054] Then X is also substituted into Di, the aggregate value H1 is recalculated, and then the deviation value H1-H is obtained, and when the deviation value exceeds X2, a suspicious signal is generated;

[0055] T1 time is continuously monitored, T1 is also a preset value, and each time a new vibration data is obtained, it is replaced by DX and substituted into the above step of generating a suspicious signal to analyze whether a new suspicious signal is generated;

[0056] When the suspicious signal detected in T1 time is divided by the number of new vibration data obtained, the value obtained is marked as a suspected proportion, and when the suspected proportion exceeds B1, the rotating machine at the corresponding position is marked as an abnormal object;

[0057] Real-time monitoring is performed, and all abnormal objects are obtained;

[0058] Step 2: Collecting data of the abnormal object, collecting maintenance data of all abnormal objects, the maintenance data including use value, maintenance times and last replacement value, the use value indicating the time length that the corresponding abnormal object, that is, the rotating machine, has been used, the maintenance times indicating the number of times that the rotating machine is maintained, and the last replacement value indicating the actual amount of money loss caused by the last abnormal object problem, which can be obtained by an administrator and input by the administrator;

[0059] Then, according to the maintenance data of the abnormal object, the weight value is calculated, and the weight value is calculated in the following manner:

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

[0061] Get the weight value of all abnormal objects;

[0062] Step three: get all abnormal objects and their weight values, and then perform path planning, the path planning specific way is:

[0063] First, get several paths from the repair point to each abnormal object, the repair point refers to the area where the repair personnel or maintenance personnel are located, the path here refers to a path starting from the repair point and returning to the repair point, and the path contains all abnormal object locations;

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

[0065] Select a potential path, get the abnormal objects that the path passes through in turn, and then analyze the abnormal objects in order, first get the second abnormal object in the potential path, get its weight value, when the weight value of the second abnormal object is higher than that of the first abnormal object, the reverse value is 1; If the weight value of the third abnormal object is higher than that of the previous two abnormal objects, the reverse value is 2, continue to analyze each subsequent abnormal object to get the reverse value corresponding to each abnormal object, and add all the reverse values to get the reverse total value of the corresponding path;

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

[0067] Step four: get the reverse total value of all potential paths, and simultaneously get the total length of all potential paths, calculate the selection value according to the formula, the specific formula is:

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

[0069] Then get the selection value of all potential paths, and mark the minimum selection value as the target path;

[0070] As an embodiment of the present application, the embodiment is implemented on the basis of embodiment one, which is different from embodiment one,

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

[0072] If the minimum value of the selected value of the potential path exceeds the set selection threshold value, it needs to be divided into two or even more paths for processing, the specific number is calculated by dividing the minimum value of the selected value by the selection threshold value, if the obtained value is an integer, it is automatically marked as the division number, if it is not an integer, the obtained value after taking the integer is added by one to obtain the division number;

[0073] After obtaining the division number, the abnormal objects are divided into groups corresponding to the division number in a uniform manner for inspection analysis, the specific manner is:

[0074] First, the abnormal objects are divided into groups corresponding to the division number value, and the abnormal objects in each group need to ensure that the planned paths differ by no more than the set path threshold value; then the target path is determined in the same way as for one group in embodiment one;

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

[0076] Then the service time of the maintenance personnel is obtained, and the service time is matched with the target path from large to small to complete the arrangement of the maintenance personnel.

[0077] The above embodiments are only used to illustrate the technical method of the present application and are not limited, although the present application 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 application can be modified or replaced by equivalent, without departing from the spirit and scope of the technical method of the present application.

Claims

1. A method of monitoring a rotating machine of a thermal power plant for anomalies, characterized in that, The method specifically comprises the following steps: Obtain vibration data of all rotating machines, and preliminarily generate a suspected signal according to a change value of the latest detected vibration data and X vibration data, wherein when the suspected signal is generated, whether the latest vibration data deviates from the X vibration data by a preset deviation is determined to generate a suspicious signal, and when the suspicious signal is generated at a proportion exceeding a preset value within a set time, the corresponding rotating machine is marked as an abnormal object; Then, a weight value of the abnormal object for indicating a maintenance and inspection emergency degree is determined according to maintenance data of the abnormal object, and an inspection route is arranged according to the weight value of the abnormal object and a distance from a position of the abnormal object to a maintenance point according to different importance; The vibration data is obtained in the following manner: First, vibration detection equipment is arranged at the rotating machine, vibration data of the vibration detection equipment is obtained, the vibration data is obtained at a set period, and the obtained data is intercepted, wherein when a series of periodic data is obtained, only X pieces of data at the latest time are retained, and X is a preset value; Vibration data Di, i = 1,..., X is obtained, wherein DX represents vibration data at the latest time; The vibration data is analyzed to obtain a suspected signal and a suspicious signal in the following manner: The maximum difference between DX and all other data is obtained, and when the maximum difference exceeds X1, the suspected signal is generated; at this time, deviation calculation is automatically performed in the following manner: Di, i = 1,..., X-1 are obtained, and an aggregated value H thereof is calculated using the formula: ; In the formula, P is an average value of Di, i = 1,..., X-1; Then, X is substituted into Di, the aggregation value H1 is recalculated, and then H1-H is obtained to obtain a deviation value, and when the deviation value exceeds X2, the suspicious signal is generated; T1 time is continuously monitored, T1 is also a preset value, and each time new vibration data is obtained, the new vibration data is substituted into the above step of generating the suspicious signal to analyze whether a new suspicious signal is generated; The abnormal object is determined in the following manner: When the suspicious signal detected within T1 time is divided by the number of obtained new vibration data, a value obtained is marked as a suspected proportion, and when the suspected proportion exceeds B1, the rotating machine at the corresponding position is marked as the abnormal object; All abnormal objects are obtained in real time; The inspection route is determined through path planning in the following manner: First, a plurality of paths from a maintenance point to each abnormal object are obtained, the maintenance point refers to an area where a maintenance personnel or an inspection personnel is located, and the path refers to a path from the maintenance point to the maintenance point and containing positions of all abnormal objects; Then, the paths are sorted from small to large according to lengths of the paths, and the first eight paths in the sorting are marked as potential paths. Optionally, a potential path is obtained, and the abnormal objects sequentially passed through the path are obtained and analyzed in sequence. The second abnormal object in the potential path is obtained, and its weight value is obtained. When the weight value of the second abnormal object is higher than that of the first abnormal object, the reverse value is recorded as 1. If the weight value of the third abnormal object is higher than that of the previous two abnormal objects, the reverse value is recorded as 2. 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 remaining potential paths are processed in the same manner to obtain the reverse total value of all potential paths. Step four: The reverse total values of all potential paths are obtained, and the total lengths of all potential paths are synchronously obtained. The selection value is calculated according to the formula: selection value = 0.63 * reverse total value + 0.37 * total length. Then, the selection values of all potential paths are obtained, and the target path is marked as the one with the minimum selection value. The vibration data is one or both of amplitude and frequency.

2. The thermal power plant rotating machinery abnormality patrol monitoring method according to claim 1, characterized by, The weight value of the abnormal object is obtained in the following manner:

3. The method according to claim 1, characterized by, Data of the abnormal object is collected, and maintenance data of all abnormal objects is collected. The maintenance data includes usage value, maintenance times, and last generation value. The usage value refers to the time length that the corresponding abnormal object, i.e., the rotating machine, has been used. The maintenance times refer to the number of times that the rotating machine has been maintained. The last generation value refers to the actual amount of money loss caused by the last time the abnormal object failed. The administrator calculates and inputs the data. Then, the weight value is calculated according to the maintenance data of the abnormal object. The weight value is calculated in the following manner: Weight value = 0.36 * usage value + 0.41 * maintenance times + 0.23 * last generation value. The weight values of all abnormal objects are obtained. ​

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