High-speed pump remote fault analysis system suitable for benzene hydrogenation device

Abstract

The invention belongs to the field of industrial production process control, relates to a data processing technology, aims to solve the problem that fault types and fault positions cannot be judged in the prior art, and particularly relates to a high-speed pump remote fault analysis system suitable for a benzene hydrogenation device. Comprising an operation monitoring analysis module, a data cleaning processing module and a fault diagnosis analysis module which are in communication connection in sequence, and the operation monitoring analysis module, the data cleaning processing module and the fault diagnosis analysis module are all in communication connection with a database; according to the invention, fault diagnosis and analysis can be carried out on the high-speed pump, and after the monitoring values of the parameters of the monitored object are collected, fault type diagnosis can be automatically carried out by combining the contrast parameter set and the judgment parameter set when the operation state of the monitored object is judged to be abnormal; and the judgment parameter set of the fault type is updated in a periodic dynamic optimization mode, so that the fault diagnosis basis is matched with the life stage of equipment operation, and the fault diagnosis precision is further ensured.

Description

Technical Field

[0001] The invention belongs to the field of industrial production process control and relates to data processing technology, in particular to a high-speed pump remote fault analysis system suitable for a benzene hydrogenation device. Background Art

[0002] The benzene hydrogenation unit uses the low-temperature hydrofining method (KK method) process technology, introduces light oil selective hydrofining and cyclopentane aromatic extraction technology, uses chemical crude benzene and purchased crude benzene as raw materials, and removes impurities such as unsaturated substances, sulfur-containing, nitrogen-containing and non-aromatic compounds through hydrofining and extractive distillation;

[0003] The online monitoring rate and instrument automatic control rate of key units are important indicators for measuring industrial production efficiency and quality. Existing technologies usually use low-frequency state signals (pressure, temperature, flow, etc.) and high-frequency vibration signal acquisition modules to collect the operating data of high-speed pumps in real time, and upload the data to the cloud server through wireless transmission technology;

[0004] The invention patent with announcement number CN110837045B discloses a method and detection system for diagnosing potential faults of a pump system. The method can determine whether the faulty component is a motor or a pump by analyzing the motor current and voltage signals; however, the fault diagnosis type coverage of the method is small, and the faulty component can only be marked, but the fault type and fault location cannot be determined, resulting in low fault diagnosis efficiency.

[0005] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0006] The purpose of the present invention is to provide a high-speed pump remote fault analysis system suitable for a benzene hydrogenation unit, which is used to solve the problem that the prior art cannot determine the fault type and fault location;

[0007] The technical problem to be solved by the present invention is: how to provide a high-speed pump remote fault analysis system suitable for a benzene hydrogenation unit that can determine the fault type and fault location.

[0008] The purpose of the present invention can be achieved through the following technical solutions:

[0009] A high-speed pump remote fault analysis system applicable to a benzene hydrogenation unit comprises an operation monitoring and analysis module, a data cleaning and processing module and a fault diagnosis and analysis module which are sequentially connected in communication, wherein the operation monitoring and analysis module, the data cleaning and processing module and the fault diagnosis and analysis module are all connected in communication with a database;

[0010] The operation monitoring and analysis module is used to monitor and analyze the operation parameters of the high-speed pump: mark the high-speed pump of the benzene hydrogenation unit as a monitoring object, generate a monitoring cycle and divide the monitoring cycle into several monitoring time periods, obtain the value of the monitoring parameter CSi of the monitoring object at the end of the monitoring time period and mark it as a monitoring value JKi, i=1, 2, ..., n, n is a positive integer, and mark the monitoring parameter CSi as a normal parameter or an abnormal parameter through the monitoring value JKi; determine whether the operating state of the monitoring object in the monitoring time period meets the requirements through the marking result of the monitoring parameter CSi;

[0011] The data cleaning processing module is used to perform data cleaning processing on the high-speed pump and mark the judgment parameter set of the fault type, and send the judgment parameter set of all fault types to the database for storage;

[0012] The fault diagnosis and analysis module is used to perform fault diagnosis and analysis on high-speed pumps: after the end of the first monitoring cycle, a continuous analysis cycle is generated, the analysis cycle is divided into several analysis time periods, the value of the monitoring parameter CSi of the monitored object is obtained at the end of the analysis period, and the output type is marked when the operating status does not meet the requirements, and the output type is sent to the mobile phone terminal of the manager.

[0013] Furthermore, the specific process of marking the monitoring parameter CSi as a normal parameter or an abnormal parameter includes: obtaining the alarm threshold BJi of the monitoring parameter CSi through the database, and comparing the monitoring value JKi of the monitoring parameter CSi of the monitored object with the corresponding alarm threshold BJi: if the monitoring value JKi is less than the alarm threshold BJi, it is determined that the value of the monitoring parameter CSi of the monitored object meets the requirements, and the corresponding monitoring parameter CSi is marked as a normal parameter; if the monitoring value JKi is greater than or equal to the alarm threshold BJi, it is determined that the value of the monitoring parameter CSi of the monitored object does not meet the requirements, and the corresponding monitoring parameter CSi is marked as an abnormal parameter.

[0014] Furthermore, the specific process of determining whether the operating state of the monitored object during the monitoring period meets the requirements includes: if all monitoring parameters CSi are marked as normal parameters, it is determined that the operating state of the monitored object during the monitoring period meets the requirements; otherwise, it is determined that the operating state of the monitored object during the monitoring period does not meet the requirements, a fault diagnosis signal is generated and the fault diagnosis signal is sent to the mobile phone terminal of the manager, and after receiving the fault diagnosis signal, the manager performs fault diagnosis on the monitored object and records the fault type, and all abnormal parameters constitute a diagnostic parameter set of the fault type; if it is determined that the monitored object has no fault after diagnosis, all abnormal parameters constitute a fault-free diagnostic parameter set.

[0015] Furthermore, the specific process of the data cleaning processing module performing data cleaning processing on the high-speed pump includes: calling the diagnostic parameter set of all fault types at the end of the monitoring cycle, forming a processing set of the fault type from all abnormal parameters of all diagnostic parameter sets corresponding to the same fault type, marking the number of elements corresponding to the abnormal parameters in the processing set as the processing value of the abnormal parameters, performing variance calculation on the processing values ​​of all abnormal parameters in the processing set to obtain a cleaning requirement value, and marking the fault type determination parameter set by the cleaning requirement value.

[0016] Furthermore, the specific process of marking the fault type judgment parameter set includes: obtaining the cleaning requirement threshold through the database, and comparing the cleaning requirement value with the cleaning requirement threshold: if the cleaning requirement value is less than the cleaning requirement threshold, then the abnormal parameters retained in the processing set are marked as the fault type judgment parameter set; if the cleaning requirement value is greater than or equal to the cleaning requirement threshold, then the abnormal parameter with the smallest processing value is removed from the processing set, and then the cleaning requirement value is recalculated, and so on, until the cleaning requirement value is less than the cleaning requirement threshold.

[0017] Furthermore, at the end of the analysis period, the value of the monitoring parameter CSi of the monitored object is obtained and the abnormal parameters are marked. If the number of marked abnormal parameters is zero, it is determined that the operating status of the monitored object during the analysis period meets the requirements; otherwise, a control parameter group is formed by the abnormal parameters, and the fault type corresponding to the judgment parameter set in the database that is exactly the same as the control parameter group is marked as the output type of the monitored object.

[0018] The present invention has the following beneficial effects:

[0019] 1. The operation monitoring and analysis module can monitor and analyze the operation parameters of the high-speed pump. The monitoring values ​​of each monitoring parameter of the monitored object are collected in a periodic and time-divided monitoring manner. The operating status of the monitored object is fed back and evaluated according to the value of the monitoring value. When the monitored object is operating abnormally, the diagnostic parameter set of the fault type is marked to provide data support for the data cleaning process;

[0020] 2. The data cleaning processing module can be used to clean the high-speed pump data. All diagnostic parameter sets corresponding to each fault type are combined to obtain a processing set. The fault type obtained after data cleaning of the processing set eliminates the interference of abnormal data and random data, thereby improving the diagnostic accuracy of the fault type.

[0021] 3. The fault diagnosis and analysis module can be used to perform fault diagnosis and analysis on high-speed pumps. After collecting the monitoring values ​​of various parameters of the monitored object, when it is determined that the operating status of the monitored object is abnormal, the fault type diagnosis can be automatically performed by combining the control parameter group and the judgment parameter set, and the judgment parameter set of the fault type can be updated in a periodic dynamic optimization manner, so that the fault diagnosis basis matches the life stage of the equipment operation, further ensuring the accuracy of fault diagnosis. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 is a system block diagram of Embodiment 1 of the present invention;

[0024] Figure 2 This is a flow chart of the method of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0025] 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.

[0026] Embodiment 1: Figure 1 As shown, a high-speed pump remote fault analysis system suitable for a benzene hydrogenation unit includes an operation monitoring and analysis module, a data cleaning and processing module, and a fault diagnosis and analysis module which are sequentially communicatively connected. The operation monitoring and analysis module, the data cleaning and processing module, and the fault diagnosis and analysis module are all communicatively connected to a database.

[0027] The operation monitoring and analysis module is used to monitor and analyze the operation parameters of the high-speed pump: mark the high-speed pump of the benzene hydrogenation unit as a monitoring object, generate a monitoring cycle and divide the monitoring cycle into several monitoring time periods, obtain the value of the monitoring parameter CSi of the monitoring object at the end of the monitoring period and mark it as the monitoring value JKi, i=1, 2,..., n, n is a positive integer, and the monitoring parameter CSi includes: flow, head, speed, power and noise, etc.; obtain the alarm threshold BJi of the monitoring parameter CSi through the database, and compare the monitoring value JKi of the monitoring parameter CSi of the monitoring object with the corresponding alarm threshold BJi: if the monitoring value JKi is less than the alarm threshold BJi, it is determined that the value of the monitoring parameter CSi of the monitoring object meets the requirements, and the corresponding monitoring parameter CSi is marked as a normal parameter; if the monitoring value JKi is greater than or equal to the alarm threshold BJi, it is determined that the value of the monitoring parameter CSi of the monitoring object does not meet the requirements, and the corresponding monitoring parameter CSi is marked as an abnormal parameter; if If all monitoring parameters CSi are marked as normal parameters, it is determined that the operating status of the monitored object during the monitoring period meets the requirements; otherwise, it is determined that the operating status of the monitored object during the monitoring period does not meet the requirements, a fault diagnosis signal is generated and sent to the mobile phone terminal of the manager. After receiving the fault diagnosis signal, the manager performs fault diagnosis on the monitored object and records the fault type. The fault type includes pump body rupture, medium suction difficulty, bearing heating, overload and no fault, etc., and all abnormal parameters constitute a fault type diagnosis parameter set; if the monitored object is determined to have no fault after diagnosis, all abnormal parameters constitute a fault-free diagnosis parameter set; the operating parameters of the high-speed pump are monitored and analyzed, and the monitoring values ​​of each monitoring parameter of the monitored object are collected in a periodic and time-divided monitoring manner. According to the numerical value of the monitoring value, the operating status of the monitored object is fed back and evaluated, and the diagnostic parameter set of the fault type is marked when the monitored object operates abnormally, providing data support for the data cleaning process.

[0028] The data cleaning processing module is used to perform data cleaning processing on the high-speed pump: at the end of the monitoring cycle, the diagnostic parameter sets of all fault types are retrieved, and the processing set of the fault type is composed of all abnormal parameters corresponding to all diagnostic parameter sets of the same fault type. The number of elements corresponding to the abnormal parameters in the processing set is marked as the processing value of the abnormal parameters, and the variance of the processing values ​​of all abnormal parameters in the processing set is calculated to obtain the cleaning requirement value. The cleaning requirement threshold is obtained through the database, and the cleaning requirement value is compared with the cleaning requirement threshold: if the cleaning requirement value is less than the cleaning requirement threshold, the abnormal parameters retained in the processing set are marked as the judgment parameter set of the fault type; if the cleaning requirement value is greater than or equal to the cleaning requirement threshold, the abnormal parameter with the smallest processing value is removed from the processing set, and then the cleaning requirement value is recalculated, and so on, until the cleaning requirement value is less than the cleaning requirement threshold; the judgment parameter sets of all fault types are sent to the database for storage; data cleaning processing is performed on the high-speed pump, and the elements of all diagnostic parameter sets corresponding to each fault type are combined to obtain the processing set. The fault type obtained after data cleaning of the processing set eliminates the interference of abnormal data and random data, and improves the diagnostic accuracy of the fault type.

[0029] The fault diagnosis and analysis module is used to perform fault diagnosis and analysis on high-speed pumps: after the end of the first monitoring cycle, a continuous analysis cycle is generated, and the analysis cycle is divided into several analysis time periods. At the end of the analysis period, the value of the monitoring parameter CSi of the monitored object is obtained and the abnormal parameters are marked. If the number of marks of the abnormal parameters is zero, it is determined that the operating status of the monitored object during the analysis period meets the requirements; otherwise, a control parameter group is formed by the abnormal parameters, and the fault type corresponding to the judgment parameter set in the database that is exactly the same as the control parameter group is marked as the output type of the monitored object, and the output type is sent to the mobile phone terminal of the manager; fault diagnosis and analysis is performed on the high-speed pump, and after the monitoring values ​​of each parameter of the monitored object are collected, when it is determined that the operating status of the monitored object is abnormal, the fault type diagnosis can be automatically performed in combination with the control parameter group and the judgment parameter set, and the judgment parameter set of the fault type is updated in a periodic dynamic optimization manner, so that the basis for fault diagnosis matches the life stage of the equipment operation, further ensuring the accuracy of fault diagnosis.

[0030] Embodiment 2: Figure 2 As shown, a remote fault analysis method for a high-speed pump of a benzene hydrogenation unit includes the following steps:

[0031] Step 1: Monitor and analyze the operation parameters of the high-speed pump: mark the high-speed pump of the benzene hydrogenation unit as the monitoring object, generate a monitoring cycle and divide the monitoring cycle into several monitoring time periods, obtain the value of the monitoring parameter CSi of the monitoring object at the end of the monitoring time period and mark it as the monitoring value JKi;

[0032] Step 2: When the operating status of the monitored object does not meet the requirements during the monitoring period, the diagnostic parameter set of the fault type is recorded;

[0033] Step 3: Data cleaning of the high-speed pump: At the end of the monitoring cycle, the diagnostic parameter sets of all fault types are retrieved, and the processing set of the fault type is formed by all abnormal parameters of all diagnostic parameter sets corresponding to the same fault type. The processing set is cleaned to obtain the judgment parameters of the fault type.

[0034] Step 4: Fault diagnosis and analysis of high-speed pumps: After the first monitoring cycle is completed, a continuous analysis cycle is generated, and the analysis cycle is divided into several analysis time periods. When the operating status of the monitored object within the analysis period does not meet the requirements, the output type of the monitored object is marked by comparing the parameter group.

[0035] The invention is a remote fault analysis system for high-speed pumps of benzene hydrogenation units. When the system is working, the high-speed pumps of the benzene hydrogenation units are marked as monitoring objects, a monitoring cycle is generated and divided into several monitoring time periods, and the value of the monitoring parameter CSi of the monitoring object is obtained at the end of the monitoring time period and marked as the monitoring value JKi; when the operating state of the monitoring object in the monitoring time period does not meet the requirements, the diagnostic parameter set of the fault type is recorded; at the end of the monitoring cycle, the diagnostic parameter sets of all fault types are retrieved, and a processing set of the fault type is formed by all abnormal parameters of all diagnostic parameter sets corresponding to the same fault type, and the processing set is cleaned to obtain the judgment parameters of the fault type; after the end of the first monitoring cycle, a continuous analysis cycle is generated, and the analysis cycle is divided into several analysis time periods. When the operating state of the monitoring object in the analysis time period does not meet the requirements, the output type of the monitoring object is marked by comparing the parameter group.

[0036] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0037] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0038] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A high-speed pump remote fault analysis system suitable for benzene hydrogenation units, characterized in that: It includes an operation monitoring and analysis module, a data cleaning and processing module, and a fault diagnosis and analysis module which are sequentially connected in communication, and the operation monitoring and analysis module, the data cleaning and processing module, and the fault diagnosis and analysis module are all connected in communication with a database; The operation monitoring and analysis module is used to monitor and analyze the operation parameters of the high-speed pump: mark the high-speed pump of the benzene hydrogenation unit as a monitoring object, generate a monitoring cycle and divide the monitoring cycle into several monitoring time periods, obtain the value of the monitoring parameter CSi of the monitoring object at the end of the monitoring time period and mark it as a monitoring value JKi, i=1, 2, ..., n, n is a positive integer, and mark the monitoring parameter CSi as a normal parameter or an abnormal parameter through the monitoring value JKi; determine whether the operating state of the monitoring object in the monitoring time period meets the requirements through the marking result of the monitoring parameter CSi; The data cleaning processing module is used to perform data cleaning processing on the high-speed pump and mark the judgment parameter set of the fault type, and send the judgment parameter set of all fault types to the database for storage; The fault diagnosis and analysis module is used to perform fault diagnosis and analysis on high-speed pumps: after the end of the first monitoring cycle, a continuous analysis cycle is generated, the analysis cycle is divided into several analysis time periods, the value of the monitoring parameter CSi of the monitored object is obtained at the end of the analysis period, and the output type is marked when the operating status does not meet the requirements, and the output type is sent to the mobile phone terminal of the manager.

2. The high-speed pump remote fault analysis system suitable for benzene hydrogenation unit according to claim 1, characterized in that: The specific process of marking the monitoring parameter CSi as a normal parameter or an abnormal parameter includes: obtaining the alarm threshold BJi of the monitoring parameter CSi through the database, and comparing the monitoring value JKi of the monitoring parameter CSi of the monitored object with the corresponding alarm threshold BJi: if the monitoring value JKi is less than the alarm threshold BJi, it is determined that the value of the monitoring parameter CSi of the monitored object meets the requirements, and the corresponding monitoring parameter CSi is marked as a normal parameter; if the monitoring value JKi is greater than or equal to the alarm threshold BJi, it is determined that the value of the monitoring parameter CSi of the monitored object does not meet the requirements, and the corresponding monitoring parameter CSi is marked as an abnormal parameter.

3. The high-speed pump remote fault analysis system suitable for a benzene hydrogenation unit according to claim 2, characterized in that: The specific process of determining whether the operating state of the monitored object during the monitoring period meets the requirements includes: if all monitoring parameters CSi are marked as normal parameters, it is determined that the operating state of the monitored object during the monitoring period meets the requirements; otherwise, it is determined that the operating state of the monitored object during the monitoring period does not meet the requirements, a fault diagnosis signal is generated and sent to the mobile phone terminal of the manager, and after receiving the fault diagnosis signal, the manager performs fault diagnosis on the monitored object and records the fault type, and all abnormal parameters constitute a diagnostic parameter set of the fault type; if it is determined that the monitored object has no fault after diagnosis, all abnormal parameters constitute a diagnostic parameter set of no fault.

4. The high-speed pump remote fault analysis system suitable for a benzene hydrogenation unit according to claim 3, characterized in that: The specific process of data cleaning processing module for high-speed pump data cleaning includes: at the end of the monitoring cycle, the diagnostic parameter set of all fault types is retrieved, and the processing set of the fault type is composed of all abnormal parameters of all diagnostic parameter sets corresponding to the same fault type, and the number of elements corresponding to the abnormal parameters in the processing set is marked as the processing value of the abnormal parameters, and the variance of the processing values ​​of all abnormal parameters in the processing set is calculated to obtain the cleaning requirement value, and the fault type judgment parameter set is marked by the cleaning requirement value.

5. The high-speed pump remote fault analysis system applicable to a benzene hydrogenation unit according to claim 4, characterized in that: The specific process of marking the fault type judgment parameter set includes: obtaining the cleaning requirement threshold through the database, and comparing the cleaning requirement value with the cleaning requirement threshold: if the cleaning requirement value is less than the cleaning requirement threshold, then the abnormal parameters retained in the processing set are marked as the fault type judgment parameter set; if the cleaning requirement value is greater than or equal to the cleaning requirement threshold, then the abnormal parameter with the smallest processing value is removed from the processing set, and then the cleaning requirement value is recalculated, and so on, until the cleaning requirement value is less than the cleaning requirement threshold.

6. The high-speed pump remote fault analysis system suitable for a benzene hydrogenation unit according to claim 5, characterized in that: At the end of the analysis period, the value of the monitoring parameter CSi of the monitored object is obtained and the abnormal parameters are marked. If the number of marked abnormal parameters is zero, it is determined that the operating status of the monitored object during the analysis period meets the requirements; otherwise, a control parameter group is formed by the abnormal parameters, and the fault type corresponding to the judgment parameter set in the database that is exactly the same as the control parameter group is marked as the output type of the monitored object.

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