Predictive maintenance method for grille decontamination system

Abstract

The invention provides a predictive maintenance method for a grille decontamination system, and relates to the technical field of sewage treatment.The predictive maintenance method comprises the steps that a monitoring point is established at the designated position of a moving part of the grille decontamination system, and a monitoring sensor is installed at the monitoring point and used for monitoring the moving state of the moving part; acquiring equipment information data in combination with monitoring data fed back by the monitoring sensor; constructing a data model by using the equipment information data, and judging an equipment fault point; establishing a prediction model based on monitoring data fed back by the monitoring sensor; the future trend of the data is predicted through the prediction model, and the self-cleaning capacity of the grille decontamination system is enhanced in time. According to the application, the transformation of the equipment from post-fault maintenance or preventive maintenance to predictive maintenance is realized through predictive maintenance, so that the intelligent operation and maintenance level of the equipment can be effectively improved, and improvement of economic benefits and management benefits is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage treatment, and in particular to a predictive maintenance method for a grille decontamination system. Background Art

[0002] Before sewage enters the secondary treatment structures of a sewage treatment plant, it generally needs to be pretreated through a grille (or grille decontamination system) first, with the aim of removing as many substances as possible that are unfavorable for subsequent treatment in terms of nature or size. When the sewage secondary treatment process adopts traditional processes (mainly referring to the three major processes of AAO, oxidation ditch, and SBR and their improved processes), the grille mainly separates and removes relatively coarse substances; when adopting processes of membranes and filter tanks (mainly referring to the MBR membrane treatment process), higher separation requirements are put forward for the grille to remove fine fiber substances such as hair, and fine fiber substances such as hair also need to be removed.

[0003] Currently, there are mainly two equipment maintenance modes: maintenance after failure and preventive maintenance.

[0004] Maintenance after failure means not maintaining usually and dealing with problems when they occur, which is applicable to equipment with less impact on shutdown. As an important link in sewage pretreatment, the shutdown of the grille will seriously affect the treatment capacity of the subsequent processes of sewage treatment and the effluent quality, resulting in an overall reduction in the treatment capacity of the sewage treatment plant. Therefore, the maintenance-after-failure mode is not applicable to the grille.

[0005] The strategy adopted by preventive maintenance is to regularly replace and upgrade uniformly regardless of the equipment status, so as to reduce the risk of major failures; however, preventive maintenance causes over-maintenance and waste of resources, and cannot avoid sudden failures. At the same time, non-standardized operations and assemblies in maintenance activities may introduce potential failure risks.

[0006] Maintenance after failure and preventive maintenance are exactly the main operation and maintenance technologies currently applied to the grille, resulting in problems such as poor stability, low treatment efficiency, and difficult post-failure maintenance of the grille. Therefore, designing a predictive maintenance method for the grille has become an effective way to make the grille operate stably. Summary of the Invention

[0007] In view of the above situation, the present invention provides a predictive maintenance method for a grille decontamination system, aiming to solve the technical problems such as poor stability, low treatment efficiency, and difficult post-failure maintenance of the existing grille due to the adoption of maintenance after failure and preventive maintenance.

[0008] To achieve the above object, the present invention provides the following technical solutions: The present invention provides a predictive maintenance method for a grille decontamination system, including: Step S1: Establish monitoring points at designated positions of the moving parts of the grid decontamination system, and install monitoring sensors at the monitoring points. The monitoring sensors are used to monitor the motion state of the moving parts; Step S2: Combine the monitoring data fed back by the monitoring sensors to obtain equipment information data. The equipment information data includes three types of information data: equipment basic information data, equipment stage adjustment information data, and equipment operation status data; Step S3: Use the equipment information data to construct a database. Construct a time-domain waveform diagram, a frequency spectrum diagram, and an envelope spectrum through the monitoring data fed back by each monitoring sensor, and form a data model in combination with the equipment information data, so as to analyze abnormal data and judge the equipment fault point; Step S4: Based on the monitoring data fed back by the monitoring sensors, analyze the change of the characteristics of the equipment state data over time, so as to obtain historical state monitoring data and store it in the database. The historical state monitoring data includes the deterioration trend of the moving parts and the change of the equipment operation stability; Through trend analysis and curve fitting of the historical state monitoring data, obtain the change trend of relevant characteristic quantities, and thus establish a prediction model based on the data change trend characteristics using the data model; predict the future trend of the data through the prediction model; Step S5: If it is predicted in Step S4 that the data will reach the alarm value within a certain period in the future, enhance the self-cleaning ability of the grid decontamination system.

[0009] In some embodiments of the present invention, an orifice plate type grid decontamination machine is applied in the grid decontamination system; in Step S1, establish the monitoring points at the following positions, and install vibration sensors at each monitoring point: The bearing position at the output end of the main motor, the bearing position at the input end of the gearbox, the bearing positions at both ends of the main drive shaft; the bearing position at the output end of the pump motor; the bearing position at the output end of the reduction motor, the bearing position at the input end of the pressing gearbox, the bearing positions at both ends of the spiral shaft.

[0010] In some embodiments of the present invention, in Step S5, establish a pump pressure curve, a liquid level difference curve, and a water quality and water volume change curve through the database; if at least one of the above three curves appears abnormal, increase the instantaneous speed of the main drive shaft of the orifice plate type grid decontamination machine and increase the water passing flux of the orifice plate type grid decontamination machine.

[0011] In some embodiments of the present invention, the equipment information data includes factory data such as equipment specifications, models, and powers; the equipment stage adjustment information data includes adjustment information such as parameter adjustment records and maintenance records; the equipment operation status data includes the remaining life of the equipment and the monitoring data.

[0012] In some embodiments of the present invention, in step S3, the time-domain waveform diagram describes the fault characteristics as follows: When there is dynamic imbalance, it appears as a typical sine wave within one cycle, indicating that in the moving parts of the grille decontamination system, component wear or transmission looseness has occurred in the main drive structure of the orifice plate type grille decontaminator; When the alignment is poor, the time-domain waveform diagram shows a 1x frequency sine wave, a 2x frequency sine wave, and in severe cases, it extends to a 3 - 5x frequency sine wave. The superimposed time-domain waveform diagram is similar to the waveform of "M" or "W", with stable and repeatable waveforms; if a waveform other than the above appears, it is initially judged that there are problems such as deformation or looseness of the transmission parts or the equipment is not level with the ground as a whole. After subsequent inspection and verification, it is confirmed whether the fault type of the equipment belongs to deformation or looseness of the transmission parts or the problem that the equipment is not level with the ground as a whole; When friction occurs during the transmission of the main drive shaft and the orifice plate, it appears as a rough, unstable waveform or has a clipping phenomenon; When a fault occurs in the bearings at the output end bearing position of the main motor, the input end bearing position of the gearbox, and the bearing positions at both ends of the main drive shaft, the time-domain waveform diagram shows regular impact signals, and the signal interval is the defect frequency of the inner and outer rings, rolling elements, and cage of the bearing or the impact signal of 1x rotational frequency; When a fault occurs in the gears at the output end bearing position of the reduction motor, the input end bearing position of the pressing gearbox, and the bearing positions at both ends of the spiral shaft, the time-domain waveform diagram will show regular rotational frequency impact signals.

[0013] In some embodiments of the present invention, in step S3, the spectrogram can visually express which frequency component components the signal is composed of, as well as the amplitude of each component, analyze the mutual relationship between each signal, and then find the vibration noise source for automatic diagnostic analysis of the faulty equipment to timely detect potential faults of the equipment.

[0014] In some embodiments of the present invention, in step S3, the envelope spectrum is used to diagnose early defects of components such as the inner ring, outer ring, rolling elements, and cage of the bearings at each monitoring point, and / or effectively identify damaged teeth on the gear through the pulse signal of the gear meshing frequency.

[0015] In some embodiments of the present invention, it further includes: After step S5, after repairing the fault, the motion states of the moving parts are monitored through the monitoring sensors at each monitoring point to evaluate the quality of the equipment after repair.

[0016] In some embodiments of the present invention, it further includes: After step S5, an event alarm function is established. The future trend of data over a period of time is predicted through the prediction model. Once it is predicted that the data will reach the alarm value within a period of time in the future, a warning is automatically fed back to the operation and maintenance personnel.

[0017] In some embodiments of the present invention, if an alarm event occurs, the detailed alarm content is retrieved through human-computer interaction and corresponding processing actions are taken.

[0018] The embodiments of the present invention have at least the following advantages or beneficial effects: This application forms a set of full-process predictive maintenance methods for the grille decontamination system (especially for grille decontamination machines such as orifice plate grille decontamination machines) from aspects such as the transformation of equipment hardware, the key data collection and analysis method, the judgment of equipment operation status, and fault warning, using monitoring and data tools; through predictive maintenance, the equipment is transformed from after-failure maintenance or preventive maintenance to predictive maintenance, so that the intelligent operation and maintenance level of the equipment can be effectively improved, which helps to improve economic benefits and management benefits.

[0019] Other features and advantages of the present invention will be described in the following description of the specification, and some of them will become obvious from the description of the specification, or will be understood by implementing the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0021] Figure 1 It is a schematic structural diagram of an orifice plate grille decontamination machine; Figure 2 It is a schematic diagram of the distribution of monitoring points of the main engine transmission structure of an orifice plate grille decontamination machine; Figure 3 It is a schematic diagram of the distribution of monitoring points of the grille decontamination system; Figure 4 It is a schematic diagram of the distribution of monitoring points of the pressing device; Figure 5 It is a flowchart of a predictive maintenance method for a grille decontamination system.

[0022] Icons: 1-bearing position of the output end of the main motor, 2-bearing position of the input end of the gearbox, 3-bearing position at one end of the main drive shaft, 4-bearing position at the other end of the main drive shaft, 5-bearing position of the output end of the pump motor, 6-bearing position of the output end of the reduction motor, 7-bearing position of the input end of the pressing gearbox, 8-bearing position at one end of the screw shaft, 9-bearing position at the other end of the screw shaft. DETAILED DESCRIPTION

[0023] In the following, only some exemplary embodiments are briefly described. As those skilled in the art can realize, the described embodiments can be modified in various different ways without departing from the spirit or scope of the embodiments of the present invention.

[0024] The embodiments of the present invention are described in detail below.

[0025] Example 1

[0026] First, see Figures 1 to 4 , this embodiment introduces a grille dirt removal system, which includes a perforated plate grille dirt remover, a flushing device and a pressing device.

[0027] The perforated plate type screen cleaner is used to filter impurities in sewage to obtain water-containing impurities. The perforated plate type screen cleaner includes a main engine driving mechanism and a transmission mechanism. The main engine driving mechanism includes a main engine motor, a gear box and a main drive shaft that are sequentially connected; the transmission mechanism connects the main drive shaft and the perforated plate through a chain or a track.

[0028] More specifically, from a holistic perspective, the perforated plate screen cleaner consists of a continuously rotating perforated plate driven by a motor placed in a fixed frame; the sewage to be filtered enters from the central opening of the equipment, passes through the perforated plates on both sides from the inside to the outside to filter out impurities, and then flows out; the perforated plate rotates, and the impurities deposited on the inside of the perforated plate are lifted by the lifting plate on the perforated plate to the top of the screen discharge area, and are washed into the screen collection tank by the washing water, and are led out to the pressing device by the screw conveying device built into the screen collection tank.

[0029] The flushing device is used for cleaning the perforated plate type grille decontamination machine. The flushing device comprises a flushing pump and a flushing nozzle connected to each other, and the flushing pump has a pump motor.

[0030] The pressing device is used to achieve solid-liquid separation of water-containing impurities. The pressing device includes a reduction motor, a pressing gear box and a screw shaft that are sequentially connected in transmission. Specifically, the output end of the reduction motor is connected to the input end of the pressing gear box, and the output end of the pressing gear box is connected to one end of the screw shaft. The screw shaft is driven to rotate by the reduction motor, and the screw shaft has a spiral structure. The spiral structure pushes and squeezes the water-containing impurities entering the pressing device, thereby achieving solid-liquid separation.

[0031] It should be noted that there are moving parts in the grid decontamination system. The above-mentioned main engine drive mechanism, transmission mechanism, pump motor, reduction motor, squeezing gearbox and spiral shaft are part of the moving parts. The orifice plate type grid decontaminator is a type of grid decontaminator, and other types of grid decontaminators can also be applied in the grid decontamination system.

[0032] Second, referring to Figures 1 to 5 , this embodiment provides a predictive maintenance method for a grid decontamination system, including the following steps: Step S1: Establish monitoring points at designated positions of the moving parts of the grid decontamination system, and install monitoring sensors at the monitoring points. The monitoring sensors are used to monitor the motion state of the moving parts.

[0033] Step S2: Combine the monitoring data fed back by the monitoring sensors to obtain equipment information data; the equipment information data includes three types of information data: equipment basic information data, equipment stage adjustment information data, and equipment operation state data.

[0034] Step S3: Use the equipment information data to construct a database, construct a time-domain waveform diagram, a frequency spectrum diagram, and an envelope spectrum through the monitoring data fed back by each monitoring sensor, and combine the equipment information data to form a data model, so as to analyze abnormal data and judge the equipment fault point.

[0035] Step S4: Based on the monitoring data fed back by the monitoring sensors, analyze the change of the characteristics of the equipment state data over time, so as to obtain historical state monitoring data and store it in the database. The historical state monitoring data includes the deterioration trend of the moving parts and the change of the equipment operation stability; Through trend analysis and curve fitting of the historical state monitoring data, obtain the change trend of relevant characteristic quantities, and thus establish a prediction model based on the data change trend characteristics using the data model; predict the future trend of the data through the prediction model.

[0036] Step S5: If it is predicted in step S4 that the data will reach the alarm value within a certain period of time in the future, enhance the self-cleaning ability of the grid decontamination system.

[0037] Step S6: Establish an event alarm function, predict the future trend of the data through the prediction model, and once it is predicted that the data will reach the alarm value within a certain period of time in the future, automatically feedback a warning to the operation and maintenance personnel.

[0038] Step S7: After repairing the fault, monitor the motion state of the moving parts through the monitoring sensors at each monitoring point to evaluate the quality of the equipment after repair (whether there are still faults), and ensure the reliability of the equipment repair quality (the repair is effective).

[0039] There is no sequence for the above step S6 and step S7.

[0040] In this embodiment, a full - process predictive maintenance method for the grid decontamination system (especially for the grid decontamination machine) is formed by using monitoring and data tools from aspects such as the transformation of equipment hardware (establishing monitoring points), key data collection and analysis methods, equipment operation status judgment, and fault early warning. Through predictive maintenance, the equipment is transformed from after - failure maintenance or preventive maintenance to predictive maintenance, effectively improving the intelligent operation and maintenance level of the equipment, and contributing to improving economic and management benefits.

[0041] Embodiment 2

[0042] See Figures 1 to 5 , in this embodiment, the orifice - plate type grid decontamination machine described above is applied in the grid decontamination system.

[0043] In step S1, monitoring points are established at the following positions, and vibration sensors are installed at each monitoring point: The bearing position at the output end of the main motor, the bearing position at the input end of the gearbox, the bearing positions at both ends of the main drive shaft; the bearing position at the output end of the pump motor; the bearing position at the output end of the reduction motor, the bearing position at the input end of the pressing gearbox, and the bearing positions at both ends of the spiral shaft.

[0044] In step S2, the equipment information data specifically includes factory - out data such as equipment specifications, models, and powers; the equipment stage adjustment information data includes adjustment information such as parameter adjustment records and maintenance records; the equipment operation status data includes the remaining life of the equipment and the aforementioned monitoring data. The acquisition methods of the equipment basic information data, the equipment stage adjustment information data factory - out data, and the remaining life of the equipment are not limited.

[0045] In step S3, the fault description characteristics of the time - domain waveform diagram are as follows: 1) When there is dynamic unbalance, it is manifested as a typical sine wave within one cycle, indicating that in the moving parts of the grid decontamination system, component wear or transmission looseness occurs in the main transmission structure of the orifice - plate type grid decontamination machine, etc. 2) When the alignment is poor (using poor alignment to judge the horizontal and stability of the equipment shaft transmission), the time - domain waveform diagram shows a 1 - times - frequency sine wave, a 2 - times - frequency sine wave, and when it is severe, it extends to a 3 - to 5 - times - frequency sine wave. The superimposed time - domain waveform diagram is similar to the waveform of "M" or "W", with stable and repeatable waveforms. If the above waveforms appear, it is initially judged that there are problems such as deformation and looseness of the transmission parts or the equipment is not level with the ground as a whole. After verification through manual inspection and other means, it is confirmed whether the fault type of the equipment belongs to deformation and looseness of the transmission parts or the equipment is not level with the ground as a whole. 3) When friction occurs between the main drive shaft and the orifice plate during transmission, it is manifested as a rough, unstable waveform or a clipping phenomenon. 4) When the bearings at the output end of the main motor, the input end of the gearbox, and the bearings at both ends of the main drive shaft fail, regular impact signals appear in the time domain waveform. The signal interval is mostly the defect frequency of the inner and outer rings, rolling elements, cages, etc. of the bearings, or an impact signal of 1 times the rotation frequency (the rotation frequency is the shaft speed of the damaged gear); 5) When a fault occurs in the gears at the output bearing position of the reduction motor, the input bearing position of the pressing gearbox, or the bearing positions at both ends of the spiral shaft, a regular frequency shock signal will appear in the time domain waveform (the frequency is the shaft speed where the damaged gear is located).

[0046] In step S3, the spectrum diagram can intuitively express which frequency components the signal is composed of and the amplitude of each component, analyze the relationship between the signals, and then find the vibration noise source to perform automatic diagnosis and analysis of the faulty equipment, and discover potential faults of the equipment in time.

[0047] In step S3, the envelope spectrum is mainly sensitive to events related to impact force, and can be used to diagnose early defects of bearing (rolling bearing) inner ring, outer ring, rolling element, cage and other components at each monitoring point. It can also effectively identify teeth with damage such as cracks on the gears through the pulse signal of the gear meshing frequency.

[0048] In step S6, if an alarm event occurs, the detailed alarm content is retrieved through human-computer interaction and corresponding processing actions are taken; the processing actions include viewing, ignoring and accepting. If ignoring, the reason for ignoring is entered, and if accepting, processing is performed. After entering the specific processing content, the closed-loop processing is completed and the alarm event is released.

[0049] This embodiment has at least the following beneficial effects: (1) Improve operation and maintenance efficiency: Establish a prediction model based on the database to accurately locate the equipment's fault points and trace the root causes of the faults, provide a scientific basis for equipment maintenance decisions, reduce the workload of maintenance personnel, improve efficiency, reduce costs and increase efficiency, and gradually achieve less-manned or even unmanned operation; (2) Reduce downtime: Use scientific status monitoring methods to understand the equipment operating status in real time, predict equipment failures in advance, monitor the trend of equipment failure degradation, and effectively reduce the huge losses caused by equipment downtime, especially unplanned downtime; (3) Reduce maintenance costs: avoid "under-maintenance" and "over-maintenance", reduce unnecessary disassembly work, and reduce maintenance costs; (4) Maintenance quality assessment: Continue to monitor the motion status of moving parts after maintenance to help assess the quality of the equipment after maintenance and ensure the reliability of the equipment maintenance quality; (5) Extend the equipment life: Monitor and predict the entire life cycle of the equipment and its key components, and take appropriate minor repair and medium repair maintenance measures to effectively extend the service life of the equipment and improve the equipment utilization rate (simple repairs can be carried out before failure shutdown, and major repairs are required after failure shutdown).

[0050] Embodiment 3

[0051] Refer to Figures 1 to 5 , The difference between this embodiment and Embodiment 2 is that in step S5, in addition to using the above prediction model to achieve predictive maintenance, the following method of adjusting the operating state of the orifice plate type grille decontamination machine by judging the working conditions of the equipment to improve its self-cleaning ability is also adopted: Establish a pump pressure curve, a liquid level difference curve, and a water quality and water volume change curve through a database; The pump pressure curve reflects whether the flush pump or the flush nozzle is blocked through the change in the pump pressure of the flush pump. If the pump pressure increases, it indicates a blockage; the liquid level difference curve is used to reflect the orifice blockage situation. If the liquid level difference decreases to the alarm value, it indicates that the orifice is blocked; the water quality and water volume change curve can reflect the change in the water quality and water volume of the water to be filtered at the front end of the orifice plate type grille decontamination machine. If the water quality or water volume index increases significantly, it indicates that there is a risk of the orifice being blocked; If at least one of the above three curves shows an abnormality (indicating an abnormal working condition of the equipment), use the pre-constructed intelligent operating state control module to increase the instantaneous speed of the main transmission shaft of the orifice plate type grille decontamination machine, increase the water passing flux of the orifice plate type grille decontamination machine, reduce the accumulation of dirt on the orifice plate, and improve the self-cleaning ability of the orifice plate type grille decontamination machine.

[0052] Finally, it should be noted that the above are only the preferred embodiments of the present application and are not used to limit the present application. For those skilled in the art, the present application can have various changes and modifications. Without conflict, the embodiments of the present application and the features in the embodiments can be arbitrarily combined with each other. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the protection scope of the present application.

Claims

1. A predictive maintenance method for a grid decontamination system, characterized in that, Including: Step S1: Establish monitoring points at designated positions of the moving parts of the grid decontamination system, and install monitoring sensors at the monitoring points. The monitoring sensors are used to monitor the motion state of the moving parts. Step S2: Combine the monitoring data fed back by the monitoring sensors to obtain equipment information data. Step S3: Use the equipment information data to construct a database. Construct a time-domain waveform diagram, a frequency spectrum diagram, and an envelope spectrum through the monitoring data fed back by each monitoring sensor, and form a data model in combination with the equipment information data, so as to analyze abnormal data and judge the equipment fault point. Step S4: Based on the monitoring data fed back by the monitoring sensors, analyze the change of the equipment state data characteristics over time, so as to obtain historical state monitoring data and store it in the database. The historical state monitoring data includes the deterioration trend of the moving parts and the change of the equipment operation stability. Through trend analysis and curve fitting of the historical state monitoring data, obtain the change trend of relevant characteristic quantities, and thus establish a prediction model based on the data change trend characteristics using the data model; predict the future trend of the data through the prediction model. Step S5: If it is predicted in Step S4 that the data will reach the alarm value within a certain period in the future, enhance the self-cleaning ability of the grid decontamination system.

2. The predictive maintenance method for a grid decontamination system according to claim 1, wherein The orifice plate type grid decontamination machine applied in the grid decontamination system; in Step S1, establish the monitoring points at the following positions, and install vibration sensors at each monitoring point: The bearing position at the output end of the main motor, the bearing position at the input end of the gearbox, the bearing positions at both ends of the main drive shaft; the bearing position at the output end of the pump motor; the bearing position at the output end of the reduction motor, the bearing position at the input end of the pressing gearbox, the bearing positions at both ends of the spiral shaft.

3. The predictive maintenance method for a grid decontamination system according to claim 2, characterized in that Step S5 further includes: Establish a pump pressure curve, a liquid level difference curve, and a water quality and water volume change curve through the database; if at least one of the above three curves shows abnormality, increase the instantaneous speed of the main transmission shaft of the orifice plate type grid decontamination machine and increase the water passing flux of the orifice plate type grid decontamination machine.

4. The predictive maintenance method for a grid decontamination system according to claim 2, characterized in that, The equipment information data includes factory data such as equipment specifications, models, and powers; the equipment stage adjustment information data includes adjustment information such as parameter adjustment records and maintenance records; the equipment operation state data includes the remaining life of the equipment and the monitoring data.

5. The predictive maintenance method for a grid decontamination system according to claim 4, characterized in that In Step S3, the time-domain waveform diagram describes the faults as follows: When there is dynamic unbalance, it shows a typical sine wave within one cycle, which indicates that in the moving parts of the grid decontamination system, component wear or transmission looseness occurs in the main engine transmission structure. When the alignment is poor, the time-domain waveform diagram shows a 1x frequency sine wave, a 2x frequency sine wave, and when it is serious, it extends to a 3 - 5x frequency sine wave. The superimposed time-domain waveform diagram shows a "M" or "W" waveform, with stable waveform and good repeatability; if the above waveform appears, it is initially judged that there are problems such as deformation or looseness of the transmission parts or the equipment is not level with the ground as a whole. After subsequent inspection and verification, confirm whether the fault type of the equipment belongs to deformation or looseness of the transmission parts or the equipment is not level with the ground as a whole. When friction occurs between the main drive shaft and the orifice plate during transmission, it is manifested as rough, unstable waveforms or clipping phenomena. When bearings at the output end bearing position of the main motor, the input end bearing position of the gearbox, and the bearing positions at both ends of the main drive shaft fail, regular impact signals appear in the time-domain waveform diagram, and the signal interval is the defect frequency of the inner and outer rings, rolling elements, and cage of the bearing or the impact signal of 1 times the rotation frequency. When gears at the output end bearing position of the reduction motor, the input end bearing position of the pressing gearbox, and the bearing positions at both ends of the screw shaft fail, regular rotation frequency impact signals will appear in the time-domain waveform diagram.

6. The predictive maintenance method for a grid decontamination system according to claim 4, characterized in that In step S3, the components of which frequency components the signal is composed of and the amplitude conditions of each component are obtained through the spectrogram, the mutual relationship between each signal is analyzed, and then the vibration noise source is searched for automatic diagnosis and analysis of the faulty equipment to timely detect potential faults of the equipment.

7. The predictive maintenance method for a grid decontamination system according to claim 4, characterized in that, In step S3, the envelope spectrum is used to diagnose early defects of the inner ring, outer ring, rolling elements, and cage of the bearings at each of the monitoring points, and / or the damaged teeth on the gear are effectively identified through the pulse signal of the gear meshing frequency.

8. The predictive maintenance method for a grid decontamination system according to claim 1, characterized in that It further includes: After step S5, after repairing the fault, the motion states of the moving parts are monitored through the monitoring sensors at each of the monitoring points to evaluate the quality of the equipment after repair.

9. The predictive maintenance method for a grid decontamination system according to claim 1, wherein It further includes: After step S5, an event alarm function is established, and the future trend of the data in the past period of time is predicted through the prediction model. Once it is predicted that the data will reach the alarm value in the future period of time, a warning is automatically fed back to the operation and maintenance personnel.

10. The predictive maintenance method for a grid decontamination system according to claim 9, characterized in that, If an alarm event occurs, the detailed alarm content is retrieved through human-computer interaction and corresponding handling actions are taken.

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