Round vibrating screen operation fault monitoring system and method

Abstract

The invention discloses a circular vibrating screen operation fault monitoring system and method, and the system comprises a working state recognition unit, a normal work analysis unit, an abnormal work analysis unit and a fault recognition analysis unit, relates to the technical field of fault monitoring, and solves the problems that only limited operation parameter information can be provided generally through simple instrument monitoring, and the fault recognition analysis unit cannot be used. In order to solve the technical problem that complex fault conditions cannot be comprehensively and deeply analyzed and diagnosed in the prior art, according to a single data signal, a plurality of possible fault causes and corresponding fault features are obtained by mining data records of the same fault parameters in historical data, and then matching and screening are carried out in combination with features of current abnormal data, so that the fault detection accuracy is improved. According to the method, the fault checking range can be quickly narrowed, the accuracy of fault positioning can be improved, and for multiple types of data signals, the system can deeply analyze the relevance between abnormal data, so that the essence of the fault can be more comprehensively and deeply known, and the precision and efficiency of fault diagnosis are further improved.

Description

Technical Field

[0001] The invention relates to the technical field of fault monitoring, and in particular to a circular vibrating screen operation fault monitoring system and method. Background Art

[0002] In the field of industrial production, the circular vibrating screen is an important equipment widely used in material screening. Its stable operation plays a key role in ensuring production efficiency and product quality. However, in the long-term operation of the circular vibrating screen, various operating failures are inevitable due to the influence of various factors such as material characteristics, working environment, and equipment wear.

[0003] According to the publication number CN118194210A, a system for monitoring the operation failure of electrical equipment is disclosed. The system includes an information acquisition module for acquiring the operation information of electrical equipment and the oil tank information of electrical equipment; an operation monitoring module for analyzing the abnormality of the operation state of electrical equipment and providing an early warning of the risk of electrical equipment failure to the user; an aging analysis module for analyzing the abnormality of the aging of electrical equipment and adjusting the analysis result of the abnormality of the aging of electrical equipment; an equipment management module for managing the cleaning frequency of electrical equipment in the next management cycle and the oil level of electrical equipment in the next management cycle; and an output module for outputting the management results of the oil level and cleaning frequency of electrical equipment in the next management cycle as a management plan to the user. The present invention improves the monitoring efficiency of electrical equipment and prolongs the life of electrical equipment.

[0004] However, some existing circular vibrating screen fault monitoring methods often rely on manual regular inspections and simple instrument monitoring, which has many limitations. Manual inspections are difficult to achieve real-time and continuous monitoring, and are prone to miss some potential fault hazards; and simple instrument monitoring can usually only provide limited operating parameter information, and cannot conduct comprehensive and in-depth analysis and diagnosis of complex fault conditions. With the continuous improvement of the level of industrial automation and the increasingly stringent requirements for the reliability of the production process, there is an urgent need for a more advanced, efficient and intelligent circular vibrating screen operation fault monitoring system that can collect a variety of circular vibrating screen operation data in real time and accurately, accurately identify the operating status, quickly analyze the cause of the fault and determine the fault risk level, so as to take effective maintenance measures in time, reduce equipment downtime, and improve production efficiency. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a circular vibrating screen operation fault monitoring system and method, which solves the problem that simple instrument monitoring can usually only provide limited operating parameter information and cannot perform comprehensive and in-depth analysis and diagnosis of complex fault conditions.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a circular vibrating screen operation fault monitoring system, comprising: An operating parameter acquisition unit is used to acquire operating data of the circular vibrating screen and transmit the acquired operating data to a working state identification unit; A working state identification unit is used to identify the working state of the circular vibrating screen according to the acquired working data, determine the working state by matching the working data with a preset value, and generate a normal working signal and an abnormal working signal, transmit the generated normal working signal to the normal working analysis unit, and transmit the abnormal working signal to the abnormal working analysis unit; A normal working analysis unit is used to analyze the acquired normal working signal, periodically monitor the operating data of the circular vibrating screen, generate monitoring results based on the periodic changes of the operating data, and transmit the monitoring results to the monitoring information output unit; The abnormal operation analysis unit is used to analyze the acquired abnormal operation signal, analyze the abnormal data in the operation parameters, and generate an analysis result based on the abnormal characteristics of the abnormal data, and transmit the analysis result to the fault identification analysis unit; A fault identification and analysis unit is used to analyze the acquired pre-selected data and fault analysis signals, analyze the fault analysis signals, determine potential fault risks according to the periodic changes of the corresponding operation data, and generate fault information, analyze the pre-selected data, analyze the fault causes in the comprehensive historical data to generate fault information, and transmit the fault information to the monitoring information output unit; The monitoring information output unit is used to display the acquired fault information and monitoring results to the corresponding operators.

[0007] As a further solution of the present invention, the specific manner in which the working state recognition unit recognizes the operating state of the circular vibrating screen is: Acquire the operating data, and at the same time acquire the preset value corresponding to the operating data, and match the acquired operating data with the preset value. If the operating data is within the preset value, it indicates that the operating state of the circular vibrating screen is normal, and a normal operating signal is generated. Otherwise, if the operating data is not within the preset value, it indicates that the operating state of the circular vibrating screen is abnormal, and an abnormal operating signal is generated.

[0008] As a further solution of the present invention, the specific manner in which the normal working analysis unit analyzes the normal working signal is: Taking time t as a period, obtain the operation data corresponding to the circular vibrating screen within the time period t, and obtain the periodic changes corresponding to the operation data, then obtain the historical data, and obtain the fault operation data in the historical data, and at the same time, sort out the fault operation data to obtain the diagnosis interval, and match the periodic changes of the obtained operation data with the diagnosis interval; If the operating data exists within the periodic variation, a fault analysis signal is generated and transmitted to the fault identification and analysis unit. If the operating data does not exist within the periodic variation, a normal monitoring signal is generated and transmitted to the monitoring information output unit.

[0009] As a further solution of the present invention, the specific manner in which the abnormal operation analysis unit analyzes the abnormal operation signal is: Acquire the operation data corresponding to the abnormal working signal, identify the abnormal data in the operation data, and determine the number of abnormal data. If there is only one abnormal data, generate a single data signal. Otherwise, if there are multiple abnormal data, generate multiple types of data signals, and analyze the single data signal and the multiple types of data signals respectively. Analyze the obtained single data signal, obtain the historical data of the circular vibrating screen, and obtain the historical data with the same fault parameters as the abnormal data as the data to be analyzed, and record them as i, where i=1, 2, ..., j, where j represents the number of data to be analyzed, and then obtain the fault cause corresponding to the data to be analyzed i, and obtain the fault characteristics of the data to be analyzed i; Then, the abnormal features corresponding to the abnormal parameters are obtained, and the obtained abnormal features are matched with the fault features to screen the data to be analyzed i to obtain pre-selected data, and the pre-selected data is transmitted to the fault identification and analysis unit.

[0010] As a further solution of the present invention, the specific manner in which the abnormal operation analysis unit analyzes multiple types of data signals is: Acquire all abnormal data and determine the correlation between the abnormal data. If there is correlation in the abnormal data, mark the abnormal data with correlation and record it as correlation parameters. Then acquire all the correlation parameters and extract the parameter features corresponding to the correlation parameters. Match the acquired parameter features with the historical data to obtain pre-selected data. Then transmit the acquired pre-selected data to the fault identification and analysis unit. If there is no correlation in the abnormal data, the abnormal parameters are matched with the historical data to obtain pre-selected data, and the pre-selected data is transmitted to the fault identification and analysis unit.

[0011] As a further solution of the present invention, the specific manner in which the fault identification and analysis unit analyzes the fault analysis signal is: The operating parameters and their corresponding periodic changes are obtained, and the fault risks corresponding to the operating parameters are determined according to the periodic changes. Then, the fault risk data in the historical data is obtained, and the fault risk data is sorted and graded to obtain the evaluation grade interval. The periodic changes of the operating parameters are matched with the evaluation grade interval to obtain the grade information, and the grade information is combined with the fault risk to obtain the fault information.

[0012] As a further solution of the present invention, the specific manner in which the fault identification and analysis unit analyzes the pre-selected data is: Acquire abnormal data, and acquire the periodic changes corresponding to the abnormal data, and acquire the change peak value corresponding to the periodic changes. Then match and screen the periodic changes with the pre-selected data to obtain selected data, and acquire the change peak value corresponding to the obtained selected data as the selected change peak value. At the same time, calculate the difference between the selected change peak value and the change peak value as the peak value difference, and select the selected data corresponding to the smallest peak value difference. Use the selected selected data as the standard to acquire the corresponding fault cause, generate fault information, and then transmit the fault information to the monitoring information output unit.

[0013] A method for monitoring operation failure of a circular vibrating screen, the method specifically comprising the following steps: Step S1, obtaining the operating parameters of the circular vibrating screen, matching the operating data with the preset values ​​to determine the working state, and generating the working state result; Step S2, analyzing the acquired normal working signal, periodically monitoring the operating data of the circular vibrating screen, and generating monitoring results based on the periodic changes of the operating data; Step S3, analyzing the acquired abnormal working signal, analyzing the abnormal data in the operating parameters, and generating an analysis result by performing a comprehensive analysis based on the abnormal features of the abnormal data; Step S4, analyze the acquired pre-selected data and fault analysis signal, analyze the fault analysis signal, determine the potential fault risk according to the periodic change of the corresponding operation data, and generate fault information, analyze the pre-selected data, and analyze the fault causes in the comprehensive historical data to generate fault information.

[0014] The present invention provides a circular vibrating screen operation fault monitoring system and method. Compared with the prior art, it has the following beneficial effects: The present invention uses a data screening algorithm to only use data during normal operation of the equipment and eliminates data with large discreteness and significant differences from the overall trend, thereby ensuring high accuracy and reliability within the preset value range. Matching the operating data based on this preset value can accurately and timely identify the working status of the circular vibrating screen, effectively reducing the misjudgment rate and laying a solid foundation for the accuracy of fault monitoring; For abnormal data corresponding to abnormal working signals, it can automatically distinguish single data signals and multi-type data signals according to the number of abnormal data, and adopt targeted analysis methods respectively. For single data signals, by mining the data records of the same fault parameters in the historical data, multiple possible fault causes and corresponding fault characteristics are obtained, and then matched and screened in combination with the characteristics of the current abnormal data, the scope of fault investigation can be quickly narrowed and the accuracy of fault location can be improved. For multi-type data signals, the system can deeply analyze the correlation between abnormal data, so as to understand the nature of the fault more comprehensively and deeply, and further improve the accuracy and efficiency of fault diagnosis. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a block diagram of the system principle of the present invention; Figure 2 It is a diagram of the steps of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not 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.

[0017] For example, see Figure 1 The present application provides a circular vibrating screen operation fault monitoring system, including: an operation parameter acquisition unit, a working state identification unit, a normal working analysis unit, an abnormal working analysis unit, a fault identification analysis unit and a monitoring information output unit. Specifically, according to the accompanying drawings, it can be known that the above-mentioned functional units are unidirectionally electrically connected.

[0018] An operating parameter acquisition unit is used to acquire the operating data of the circular vibrating screen and transmit the acquired operating data to the working state identification unit. The operating data here include the vibration acceleration of the vibrating screen (obtained by acceleration sensors installed on the screen frame and other key parts of the circular vibrating screen), the vibration speed of the spring (obtained by a speed sensor installed on the shock-absorbing spring) and the temperature (obtained by a temperature sensor installed on the motor or bearing).

[0019] A working state identification unit is used to identify the working state of the circular vibrating screen according to the acquired operating data, determine the working state by matching the operating data with a preset value, generate a working state result, and transmit the working state result at the same time.

[0020] The operation data is obtained, and the preset value corresponding to the operation data is obtained at the same time, and the preset value is a range value. In the data sorting process, only the operation data during the normal operation of the equipment is included, and the data screening algorithm is used to eliminate the data with large discreteness and significant difference from the overall trend, so as to ensure the accuracy and reliability of the preset value range, and match the obtained operation data with the preset value. If the operation data is within the preset value, it means that the operation status of the circular vibrating screen is normal, and a normal working signal is generated. For example, for the operation data of the vibration frequency of the circular vibrating screen, if its preset value range is set to 10-15Hz, when the collected vibration frequency data is 12Hz, because the data is within the preset value range, the system determines that the operation status of the circular vibrating screen is normal in this respect. On the contrary, if the operation data is not within the preset value, it means that the operation status of the circular vibrating screen is abnormal, and an abnormal working signal is generated; for example, if the collected vibration frequency is 8Hz, which exceeds the preset range, the system determines that the operation status is abnormal.

[0021] The generated normal working signal is further transmitted to the normal working analysis unit, and the abnormal working signal is transmitted to the abnormal working analysis unit.

[0022] The normal operation analysis unit is used to analyze the acquired normal operation signal, perform periodic monitoring on the operation data of the circular vibrating screen, generate monitoring results based on the periodic changes of the operation data, and transmit the monitoring results to the monitoring information output unit.

[0023] Taking time t as a period, obtain the operating data corresponding to the circular vibrating screen within the time period t, and obtain the periodic changes corresponding to the operating data, then obtain the historical data, and obtain the fault operating data in the historical data, and the fault operating data here is the same as the fault operating parameters of the current circular vibrating screen, and at the same time, organize the fault operating data to obtain a diagnosis interval, and the component data of the diagnosis interval here is the fault operating data, which is also periodic change data, and match the periodic changes of the obtained operating data with the diagnosis interval. If the operating data exists in the periodic change situation, a fault analysis signal is generated, and the fault analysis signal is transmitted to the fault identification and analysis unit. If the operating data does not exist in the periodic change situation, a normal monitoring signal is generated and transmitted to the monitoring information output unit.

[0024] The monitoring information output unit is used to transmit the acquired normal monitoring signal to the monitoring information output unit.

[0025] Embodiment 2, as Embodiment 2 of the present invention, is implemented on the basis of Embodiment 1, and differs from Embodiment 1 in that: The abnormal operation analysis unit is used to analyze the acquired abnormal operation signal by analyzing the abnormal data in the operating parameters and generating analysis results based on the comprehensive analysis of the abnormal characteristics of the abnormal data, and at the same time transmit the analysis results to the fault identification and analysis unit.

[0026] Acquire the operation data corresponding to the abnormal working signal, identify the abnormal data in the operation data, and determine the number of abnormal data. If there is only one abnormal data, generate a single data signal. Otherwise, if there are multiple abnormal data, generate multiple types of data signals. Analyze the obtained single data signal, obtain the historical data of the circular vibrating screen, and obtain the historical data with the same fault parameters as the abnormal data as the data to be analyzed, and record it as i, where i=1, 2, ..., j, where j represents the number of data to be analyzed. Then obtain the fault cause corresponding to the data to be analyzed i, and the corresponding fault cause corresponding to the data to be analyzed here may include multiple fault causes. At the same time, obtain the fault characteristics of the data to be analyzed i, and the specific fault characteristics are reflected by the changes in the fault parameters; for example, during the operation of the circular vibrating screen, the current data at a certain moment is monitored to have abnormal fluctuations (abnormal data). By mining historical data, find several data records in which the current has similar fluctuations (same fault parameters) in the past as data to be analyzed. The fault causes corresponding to a group of data i to be analyzed may include screen damage, exciter failure, etc.

[0027] Then, the abnormal features corresponding to the abnormal parameters are obtained. The specific abnormal features are also reflected by the change situation. At the same time, the acquired abnormal features are matched with the fault features to screen the data to be analyzed i to obtain pre-selected data, and the pre-selected data is transmitted to the fault identification and analysis unit; Analyze the obtained multi-type data signals, obtain all abnormal data, and judge the correlation between abnormal data. If there is correlation in the abnormal data, the abnormal data with correlation will be marked and recorded as correlation parameters. Here, the abnormal data are analyzed with each other. For example, in the operation monitoring of the circular vibrating screen, multiple types of data signals such as vibration frequency, amplitude, motor current, material flow rate, etc. will be obtained. When analyzing these data, it was found that the vibration frequency data fluctuated abnormally, sometimes higher than the normal range, and sometimes lower than the normal range. At the same time, the motor current data is also unstable, and there are intermittent peak currents. Further analysis and judgment of the correlation between the two found that when the vibration frequency fluctuates abnormally, the motor load changes accordingly, resulting in a spike change in the current, indicating that the two abnormal data are closely related. Therefore, the abnormal vibration frequency data and the abnormal motor current data are marked as associated parameters, and then all the associated parameters are obtained, and the parameter features corresponding to the associated parameters are extracted. The specific parameter features are reflected by the change situation, and the obtained parameter features are matched with the historical data to obtain the pre-selected data, and then the obtained pre-selected data is transmitted to the fault identification and analysis unit; If there is no correlation in the abnormal data, the abnormal parameters are matched with the historical data, and the matching here is to match all the abnormal parameters separately. For example, if there are three groups of abnormal parameters, the three groups of abnormal data are matched with the historical data respectively to obtain pre-selected data, and the pre-selected data is transmitted to the fault identification and analysis unit at the same time.

[0028] A fault identification and analysis unit is used to analyze the acquired pre-selected data and fault analysis signals, analyze the fault analysis signals, determine the potential fault risks according to the periodic changes of the corresponding operating data, and generate fault information, analyze the pre-selected data, analyze the fault causes in the comprehensive historical data to generate fault information, and transmit the fault information to the monitoring information output unit.

[0029] The specific method of analyzing the fault analysis signal is: first, collect various operating parameters of the equipment and the corresponding periodic change trends, and deeply analyze the potential fault risks of the operating parameters based on these periodic changes. The fault risk here means the abnormal conditions that may occur during the working process of the equipment. Then, extract detailed data on fault risks in historical data, and systematically organize these fault risk data, use scientific and reasonable methods to classify fault risks, and then determine the evaluation classification interval. Finally, accurately match the periodic changes of the current operating parameters with the evaluation classification interval, thereby obtaining the corresponding grade information, and then organically combine the grade information with the fault risk to finally form complete fault information; The specific method of analyzing the pre-selected data is: obtaining abnormal data, and obtaining the periodic changes corresponding to the abnormal data, and obtaining the change peak value corresponding to the periodic changes, and the change peak value here is the change peak value of all abnormal data, including the maximum value and the minimum value, and then matching and screening the periodic changes with the pre-selected data to obtain selected data, and the selected data here is represented by comparing all abnormal data, and obtaining the change peak value corresponding to the obtained selected data as the selected change peak value, and calculating the difference between the selected change peak value and the change peak value as the peak value difference, specifically here is a one-to-one calculation, for example, the abnormal data includes the vibration frequency, amplitude, and motor current corresponding to the change peak value, then the vibration frequency, amplitude, and motor current in the selected change peak value are calculated one by one with the abnormal data, and the selected data corresponding to the smallest difference of all peak values ​​are selected, and the corresponding fault cause is obtained based on the selected selected data, and fault information is generated at the same time, and then the fault information is transmitted to the monitoring information output unit.

[0030] A monitoring information output unit is used to display the acquired fault information to the corresponding operator.

[0031] Embodiment 3, as the embodiment 3 of the present invention, focuses on combining the implementation processes of embodiment 1 and embodiment 2 for implementation.

[0032] Example 4, please refer to Figure 2 The present application provides a method for monitoring the operation failure of a circular vibrating screen, which specifically comprises the following steps: Step S1, obtaining the operating parameters of the circular vibrating screen, matching the operating data with the preset values ​​to determine the working state, and generating the working state result, and the processing process here is the same as the processing method of the working state identification unit in the first embodiment; Step S2, analyzing the acquired normal working signal, periodically monitoring the operating data of the circular vibrating screen, and generating monitoring results based on the periodic changes of the operating data, and the processing method here is the same as the processing method of the normal working analysis unit in Example 1; Step S3, analyzing the acquired abnormal working signal, analyzing the abnormal data in the operating parameters, and generating an analysis result by comprehensive analysis based on the abnormal characteristics of the abnormal data, and the processing method here is the same as the processing method of the second embodiment; Step S4, analyze the acquired pre-selected data and fault analysis signal, analyze the fault analysis signal, determine the potential fault risk according to the periodic change of the corresponding operating data, and generate fault information, analyze the pre-selected data, analyze the fault causes in the comprehensive historical data to generate fault information, and the processing method here is the same as the processing method of the fault identification and analysis unit in Example 2.

[0033] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0034] 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 circular vibrating screen operation fault monitoring system, characterized in that: include: An operating parameter acquisition unit is used to acquire operating data of the circular vibrating screen and transmit the acquired operating data to a working state identification unit; A working state identification unit is used to identify the working state of the circular vibrating screen according to the acquired working data, determine the working state by matching the working data with a preset value, and generate a normal working signal and an abnormal working signal, transmit the generated normal working signal to the normal working analysis unit, and transmit the abnormal working signal to the abnormal working analysis unit; A normal working analysis unit is used to analyze the acquired normal working signal, periodically monitor the operating data of the circular vibrating screen, generate monitoring results based on the periodic changes of the operating data, and transmit the monitoring results to the monitoring information output unit; The abnormal operation analysis unit is used to analyze the acquired abnormal operation signal, analyze the abnormal data in the operation parameters, and generate an analysis result based on the abnormal characteristics of the abnormal data, and transmit the analysis result to the fault identification analysis unit; A fault identification and analysis unit is used to analyze the acquired pre-selected data and fault analysis signals, analyze the fault analysis signals, determine potential fault risks according to the periodic changes of the corresponding operation data, and generate fault information, analyze the pre-selected data, analyze the fault causes in the comprehensive historical data to generate fault information, and transmit the fault information to the monitoring information output unit; The monitoring information output unit is used to display the acquired fault information and monitoring results to the corresponding operators.

2. A circular vibrating screen operation fault monitoring system according to claim 1, characterized in that: The specific method in which the working state recognition unit recognizes the operating state of the circular vibrating screen is: Acquire the operating data, and at the same time acquire the preset value corresponding to the operating data, and match the acquired operating data with the preset value. If the operating data is within the preset value, it indicates that the operating state of the circular vibrating screen is normal, and a normal operating signal is generated. Otherwise, if the operating data is not within the preset value, it indicates that the operating state of the circular vibrating screen is abnormal, and an abnormal operating signal is generated.

3. A circular vibrating screen operation fault monitoring system according to claim 1, characterized in that: The specific method in which the normal working analysis unit analyzes the normal working signal is as follows: Taking time t as a period, obtain the operation data corresponding to the circular vibrating screen within the time period t, and obtain the periodic changes corresponding to the operation data, then obtain the historical data, and obtain the fault operation data in the historical data, and at the same time, sort out the fault operation data to obtain the diagnosis interval, and match the periodic changes of the obtained operation data with the diagnosis interval; If the operating data exists within the periodic variation, a fault analysis signal is generated and transmitted to the fault identification and analysis unit. If the operating data does not exist within the periodic variation, a normal monitoring signal is generated and transmitted to the monitoring information output unit.

4. A circular vibrating screen operation fault monitoring system according to claim 1, characterized in that: The specific method in which the abnormal operation analysis unit analyzes the abnormal operation signal is as follows: Acquire the operation data corresponding to the abnormal working signal, identify the abnormal data in the operation data, and determine the number of abnormal data. If there is only one abnormal data, generate a single data signal. Otherwise, if there are multiple abnormal data, generate multiple types of data signals, and analyze the single data signal and the multiple types of data signals respectively. Analyze the obtained single data signal, obtain the historical data of the circular vibrating screen, and obtain the historical data with the same fault parameters as the abnormal data as the data to be analyzed, and record them as i, where i=1, 2, ..., j, where j represents the number of data to be analyzed, and then obtain the fault cause corresponding to the data to be analyzed i, and obtain the fault characteristics of the data to be analyzed i; Then, the abnormal features corresponding to the abnormal parameters are obtained, and the obtained abnormal features are matched with the fault features to screen the data to be analyzed i to obtain pre-selected data, and the pre-selected data is transmitted to the fault identification and analysis unit.

5. A circular vibrating screen operation fault monitoring system according to claim 4, characterized in that: The specific method in which the abnormal operation analysis unit analyzes multiple types of data signals is as follows: Acquire all abnormal data and determine the correlation between the abnormal data. If there is correlation in the abnormal data, mark the abnormal data with correlation and record it as correlation parameters. Then acquire all the correlation parameters and extract the parameter features corresponding to the correlation parameters. Match the acquired parameter features with the historical data to obtain pre-selected data. Then transmit the acquired pre-selected data to the fault identification and analysis unit. If there is no correlation in the abnormal data, the abnormal parameters are matched with the historical data to obtain pre-selected data, and the pre-selected data is transmitted to the fault identification and analysis unit.

6. A circular vibrating screen operation fault monitoring system according to claim 1, characterized in that: The specific method in which the fault identification and analysis unit analyzes the fault analysis signal is as follows: The operating parameters and their corresponding periodic changes are obtained, and the fault risks corresponding to the operating parameters are determined according to the periodic changes. Then, the fault risk data in the historical data is obtained, and the fault risk data is sorted and graded to obtain the evaluation grade interval. The periodic changes of the operating parameters are matched with the evaluation grade interval to obtain the grade information, and the grade information is combined with the fault risk to obtain the fault information.

7. A circular vibrating screen operation fault monitoring system according to claim 1, characterized in that: The specific method in which the fault identification and analysis unit analyzes the pre-selected data is as follows: Acquire abnormal data, and acquire the periodic changes corresponding to the abnormal data, and acquire the change peak value corresponding to the periodic changes. Then match and screen the periodic changes with the pre-selected data to obtain selected data, and acquire the change peak value corresponding to the obtained selected data as the selected change peak value. At the same time, calculate the difference between the selected change peak value and the change peak value as the peak value difference, and select the selected data corresponding to the smallest peak value difference. Use the selected selected data as the standard to acquire the corresponding fault cause, generate fault information, and then transmit the fault information to the monitoring information output unit.

8. A circular vibrating screen operation fault monitoring method, used to implement a circular vibrating screen operation fault monitoring system according to any one of claims 1 to 7, characterized in that: The method specifically comprises the following steps: Step S1, obtaining the operating parameters of the circular vibrating screen, matching the operating data with the preset values ​​to determine the working state, and generating the working state result; Step S2, analyzing the acquired normal working signal, periodically monitoring the operating data of the circular vibrating screen, and generating monitoring results based on the periodic changes of the operating data; Step S3, analyzing the acquired abnormal working signal, analyzing the abnormal data in the operating parameters, and generating an analysis result by performing a comprehensive analysis based on the abnormal features of the abnormal data; Step S4, analyze the acquired pre-selected data and fault analysis signal, analyze the fault analysis signal, determine the potential fault risk according to the periodic change of the corresponding operation data, and generate fault information, analyze the pre-selected data, and analyze the fault causes in the comprehensive historical data to generate fault information.

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