Intelligent diagnosis lubrication method and system based on remote vibration monitoring

Abstract

The invention belongs to the technical field of equipment intelligent monitoring, and particularly discloses an intelligent diagnosis lubrication method and system based on remote vibration monitoring. The method comprises the following steps that: 1, a vibration acquisition unit acquires vibration data of monitored equipment and uploads the vibration data; 2, the gateway feedback unit receives the vibration data uploaded by the vibration acquisition unit and uploads the vibration data again; 3, the vibration analysis unit performs abnormal vibration analysis according to the vibration data uploaded by the gateway feedback unit and issues an analysis result; 4, the comprehensive control unit obtains an analysis result issued by the vibration analysis unit and issues an instruction signal to the intelligent lubrication unit according to the analysis result; and 5, the intelligent lubricating unit receives the instruction signal issued by the comprehensive control unit, and performs multi-point periodic oil injection action or abnormal single-point oil injection action on the lubricating points of the equipment according to the instruction signal. According to the method and system, remote automatic monitoring and diagnosis of equipment vibration are achieved, and automatic matching of oil injection lubrication is achieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent equipment monitoring, and in particular relates to an intelligent diagnosis lubrication method and system based on remote vibration monitoring. Background Art

[0002] With the continuous improvement of my country's industrialization level, the development of intelligent and unmanned industries is also gradually improving, and more and more companies hope to realize the monitoring of equipment. Specifically, a large number of equipment are used in traditional industries such as mines, oil fields, drilling, steel, and factories. Whether these equipment can operate normally and safely has an important impact on production safety and production efficiency. In order to ensure the normal and safe operation of equipment, some companies have installed vibration analyzers on their equipment in recent years to analyze the cause of the failure when the equipment is abnormal. The vibration analyzer determines the point and cause of the equipment failure by monitoring the vibration condition of the equipment, so that users can take measures to avoid greater losses when serious problems occur in the equipment or parts are damaged. However, the vibration analyzers on the market are only for equipment that prompts faults through vibration analysis, and cannot handle the faults accordingly; and most of these vibration analyzers are offline devices, with low data utilization value, and cannot share data with similar faults of similar equipment; in addition, the processing of data requires special analysts to provide door-to-door services or train vibration analysts by themselves, which is expensive in terms of labor costs. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent diagnostic lubrication method and system based on remote vibration monitoring, so as to realize remote automatic monitoring and diagnosis of equipment vibration, and automatically match oil injection lubrication.

[0004] In order to achieve the above object, the technical solutions adopted by the present invention are as follows:

[0005] An intelligent diagnostic lubrication method based on remote vibration monitoring comprises the following steps:

[0006] Step 1: The vibration collection unit collects vibration data of the monitored equipment and uploads the vibration data;

[0007] Step 2: The gateway feedback unit receives the vibration data uploaded by the vibration collection unit and uploads the vibration data again;

[0008] Step 3: The vibration analysis unit performs abnormal vibration analysis based on the vibration data uploaded by the gateway feedback unit and sends the analysis results;

[0009] Step 4: The integrated control unit obtains the analysis result sent by the vibration analysis unit, and sends a command signal to the intelligent lubrication unit according to the analysis result;

[0010] Step 5: The intelligent lubrication unit receives the command signal sent by the integrated control unit, and performs multi-point periodic oiling action or abnormal single-point oiling action on the lubrication points of the equipment according to the command signal.

[0011] Furthermore, the vibration collection unit includes a vibration sensor, which is disposed on the monitored device. The vibration sensor collects vibration data of the monitored device, and the vibration data includes acceleration values ​​and / or velocity values.

[0012] Furthermore, in step 3, the vibration analysis unit performs abnormal vibration analysis as follows:

[0013] Step 31, the vibration analysis unit obtains an acceleration spectrum diagram from the vibration data;

[0014] Step 32, set the vibration amplitude T. When the waveform amplitude in the acceleration spectrum diagram is not greater than T, the output analysis result is that there is no abnormal vibration. When the waveform amplitude in the monitoring acceleration spectrum diagram is greater than T, the resonance frequency concentration band in the acceleration spectrum diagram is identified again, and the frequency band with a bulge at the bottom is continuously screened in the resonance frequency concentration band. If there are equally spaced waveforms in the frequency band with a bulge at the bottom, the output analysis result is that there is abnormal vibration.

[0015] Furthermore, the process of determining whether there are equally spaced waveforms in the frequency band with a bulge at the bottom is as follows:

[0016] If the frequency interval between the highest point and the second highest point of acceleration is B, and the frequency interval between the highest point and the third highest point of acceleration is B, then there are equally spaced waveforms in the frequency band with a bulge at the bottom.

[0017] Further, in step 31, the vibration analysis unit obtains an envelope diagram from the vibration data;

[0018] In step 32, after there are equally spaced waveforms in the frequency band with a bulge at the bottom, when multiple harmonics of the natural frequency of the equipment bearing are continuously identified in the envelope diagram, the analysis result is outputted as the presence of abnormal vibration.

[0019] Furthermore, the natural frequency of the equipment bearing includes the natural frequency fi of the inner ring of the bearing, the natural frequency fo of the outer ring of the bearing, the natural frequency fe of the bearing rolling element, and the natural frequency fc of the bearing cage;

[0020] The calculation formula of the bearing inner ring natural frequency fi is as follows:

[0021] fi=n ＊ z / 120 ＊ (1+d*cosα / D);

[0022] The calculation formula of the natural frequency fo of the bearing outer ring is as follows:

[0023] fo=n ＊ z / 120 ＊ (1-d ＊ cosα / D);

[0024] The calculation formula of the bearing rolling element natural frequency fe is as follows:

[0025] fe=n ＊ D / 120 / d ＊ (1-d^2 ＊ cosa^2 / (D^2));

[0026] The calculation formula of the bearing cage natural frequency fc is as follows:

[0027] fc=n / 120 * (1-d ＊ cosα / D);

[0028] In the formula,

[0029] n is shaft frequency / shaft speed;

[0030] z is the number of rolling elements;

[0031] d is the rolling element diameter;

[0032] α is the bearing contact angle;

[0033] D is the pitch diameter of the raceway.

[0034] Further, in step 4, when the analysis result is that there is no abnormal vibration, the integrated control unit sends a first instruction signal to the intelligent lubrication unit; when the analysis result is that there is abnormal vibration, the integrated control unit sends a second instruction signal to the intelligent lubrication unit;

[0035] In step 5, the intelligent lubrication unit performs multi-point periodic oiling according to the first command signal; the intelligent lubrication unit performs abnormal single-point oiling according to the second command signal; after the abnormal single-point oiling is completed, steps 1 to 4 are repeated. If the analysis result is that there is no abnormal vibration, the integrated control unit sends the first command signal to the intelligent lubrication unit, and the intelligent lubrication unit performs multi-point periodic oiling according to the first command signal; after the abnormal single-point oiling is completed, steps 1 to 4 are repeated to reach the set number of times and the corresponding number of abnormal single-point oiling actions are completed. If the analysis result is always that there is abnormal vibration, the integrated control unit issues an alarm prompt.

[0036] Furthermore, the intelligent lubrication unit includes an oil pump, a lubrication pipeline, an electromagnetic oil feeder and a controller;

[0037] The oil outlet end of the oil pump is connected to one end of a plurality of lubrication pipelines, the other end of the lubrication pipeline is located at the lubrication point of the equipment, and the electromagnetic oil feeder is arranged on the lubrication pipeline;

[0038] The controller receives the command signal sent by the integrated control unit, and the controller is respectively connected to the control end of the oil pump and the control end of the electromagnetic oil feeder;

[0039] In step 5, the multi-point periodic oil injection process is as follows:

[0040] The controller receives the first command signal, starts the oil pump, turns on each electromagnetic oil feeder, and outputs a set amount of oil to the lubrication point of the equipment through each lubrication pipeline;

[0041] In step 5, the abnormal single-point oiling action process is as follows:

[0042] The controller receives the second command signal, starts the oil pump, turns on the set electromagnetic oil feeder, and the set electromagnetic oil feeder outputs the set oil volume to the lubrication point of the equipment through the corresponding lubrication pipeline.

[0043] Furthermore, within the set time period T, the theoretical consumption of lubricating grease at the lubrication point of the equipment is Q0;

[0044] The intelligent lubrication unit further comprises a flow sensor arranged on the lubrication pipeline, and the controller signal is connected to the control end of the flow sensor;

[0045] During the multi-point periodic oil injection process, within the set time period T, the flow rate Q of the lubricating grease flowing through the lubrication pipeline is monitored by the flow sensor and uploaded to the controller;

[0046] When the controller determines that the deviation between Q and Q0 is greater than the set threshold, the controller uploads the integrated control unit to issue an alarm prompt;

[0047] When the controller determines that the deviation between Q and Q0 is not greater than the set threshold, within the set time period T, the controller starts the oil pump to supply oil for n times, and the amount of oil supplied each time is Q / n.

[0048] An intelligent diagnosis lubrication system based on remote vibration monitoring, used to implement the above-mentioned intelligent diagnosis lubrication method based on remote vibration monitoring, comprising:

[0049] The vibration collection unit collects the vibration data of the monitored equipment and uploads the vibration data;

[0050] The gateway feedback unit receives the vibration data uploaded by the vibration collection unit and uploads the vibration data again;

[0051] The vibration analysis unit performs abnormal vibration analysis based on the vibration data uploaded by the gateway feedback unit and sends the analysis results;

[0052] The integrated control unit obtains the analysis results sent by the vibration analysis unit, sends a command signal to the intelligent lubrication unit according to the analysis results, and controls the operation of the vibration collection unit, the gateway feedback unit and the vibration analysis unit;

[0053] The intelligent lubrication unit receives the command signal sent by the integrated control unit, and performs multi-point periodic oil injection or abnormal single-point oil injection according to the command signal.

[0054] The beneficial technical effects of the present invention are:

[0055] The intelligent diagnosis lubrication method and system based on remote vibration monitoring of the present invention collects vibration data of the monitored equipment in real time through a vibration collection unit, and receives and uploads the data in a centralized manner through a gateway feedback unit, so as to realize real-time data transmission based on the industrial Internet and improve timeliness. The vibration analysis unit performs abnormal vibration analysis, and uses the waveform amplitude, the resonance frequency concentrated frequency band, the bottom ridge of the concentrated frequency band, and the equally spaced waveforms in the acceleration spectrum diagram as key characteristic indicators of abnormal vibration of the equipment, so as to accurately and reliably diagnose abnormal vibration. On this basis, the multiple harmonics of the natural frequency of the equipment bearing in the envelope diagram are also used as key characteristic indicators of abnormal vibration of the equipment, and a secondary judgment is made on the abnormal vibration diagnosis, so as to further improve the diagnostic accuracy of abnormal vibration. When the analysis result is that there is no abnormal vibration, the comprehensive control unit controls the intelligent lubrication unit to perform multi-point periodic oiling action on the lubrication points of the equipment, so as to realize fixed-point, timed, and quantitative oiling. When the analysis result is that there is abnormal vibration, the comprehensive control unit controls the intelligent lubrication unit to perform abnormal single-point oiling action on the lubrication points of the equipment, or issues an alarm prompt, so as to stop the equipment for repairing the fault point and replacing equipment components, so as to realize normal and safe operation of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 A topological relationship diagram of an intelligent diagnosis lubrication system based on remote vibration monitoring according to an embodiment of the present invention;

[0057] Figure 2 It is an acceleration spectrum diagram obtained by the vibration analysis unit according to an embodiment of the present invention from vibration data;

[0058] Figure 3 An envelope diagram obtained by a vibration analysis unit according to an embodiment of the present invention from vibration data;

[0059] Figure 4 This is a topological relationship diagram of the intelligent lubrication unit according to an embodiment of the present invention;

[0060] Figure 5 This is an operating logic diagram of the intelligent lubrication unit according to an embodiment of the present invention. DETAILED DESCRIPTION

[0061] In order to make the purpose, technical scheme and beneficial effects of the present invention more clearly understood, the present invention is further described in detail below in combination with specific embodiments and with reference to the accompanying drawings. Certain embodiments of the present invention will be described more comprehensively with reference to the accompanying drawings, in which some but not all embodiments will be shown. In fact, the various embodiments of the present invention can be implemented in many different forms and should not be construed as being limited to the embodiments described herein; rather, these embodiments are provided so that the present invention meets applicable legal requirements.

[0062] In the description of the present invention, it should be noted that the terms "inside", "outside", "upper", "lower", "front", "back" and the like indicate directions or positional relationships based on directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0063] In an embodiment of the present invention, an intelligent diagnosis lubrication method and system based on remote vibration monitoring is provided, please refer to Figures 1 to 5 shown.

[0064] An intelligent diagnosis lubrication method based on remote vibration monitoring is implemented by using an intelligent diagnosis lubrication system based on remote vibration monitoring. The system includes a vibration collection unit, a gateway feedback unit, a vibration analysis unit, an integrated control unit and an intelligent lubrication unit, wherein the vibration collection unit collects vibration data of a monitored device and uploads the vibration data; the gateway feedback unit receives the vibration data uploaded by the vibration collection unit and uploads the vibration data again; the vibration analysis unit performs abnormal vibration analysis based on the vibration data uploaded by the gateway feedback unit and sends the analysis result; the integrated control unit obtains the analysis result sent by the vibration analysis unit, sends a command signal to the intelligent lubrication unit based on the analysis result, and controls the operation of the vibration collection unit, the gateway feedback unit and the vibration analysis unit; the intelligent lubrication unit receives the command signal sent by the integrated control unit, and performs multi-point periodic oiling action or abnormal single-point oiling action according to the command signal.

[0065] The method comprises the following steps:

[0066] Step 1: The vibration collection unit collects vibration data of the monitored device and uploads the vibration data through a digital channel. The vibration collection unit includes a vibration temperature sensor, which is arranged on the monitored device, and the vibration stability sensor collects vibration data and temperature data of the monitored device. In this embodiment, the vibration data includes acceleration value and velocity value.

[0067] Step 2: The gateway feedback unit receives the vibration data uploaded by the vibration collection unit, and uploads the vibration data again through the transmission channel.

[0068] Step 3: The vibration analysis unit performs abnormal vibration analysis based on the vibration data uploaded by the gateway feedback unit, and sends the analysis results through the data interface.

[0069] The steps for abnormal vibration analysis by the vibration analysis unit are as follows:

[0070] Step 31, the vibration analysis unit obtains an acceleration spectrum diagram and an envelope diagram from the vibration data;

[0071] Step 32, set the vibration amplitude T. When the waveform amplitude in the acceleration spectrum is identified to be not greater than T, the output analysis result is that there is no abnormal vibration. When the waveform amplitude in the monitoring acceleration spectrum is identified to be greater than T, the resonance frequency concentration band in the acceleration spectrum is identified, which is approximately between 3kHz-4.5KHz, and the frequency band with a bulge at the bottom is continuously screened in the resonance frequency concentration band. If there are equally spaced waveforms in the frequency band with a bulge at the bottom, the output analysis result is that there is abnormal vibration.

[0072] The process of determining whether there are equally spaced waveforms in the frequency band with a bulge at the bottom is as follows:

[0073] If the frequency interval between the highest point and the second highest point of acceleration is B, and the frequency interval between the highest point and the third highest point of acceleration is B, then there are equally spaced waveforms in the frequency band with a bulge at the bottom.

[0074] In step 32, after there are equally spaced waveforms in the frequency band with a bulge at the bottom, when multiple harmonics of the natural frequency of the equipment bearing are continuously identified in the envelope diagram, the analysis result is outputted as the presence of abnormal vibration.

[0075] Among them, the natural frequency of the equipment bearing includes the natural frequency fi of the inner ring of the bearing, the natural frequency fo of the outer ring of the bearing, the natural frequency fe of the bearing rolling element and the natural frequency fc of the bearing cage;

[0076] The calculation formula of the bearing inner ring natural frequency fi is as follows:

[0077] fi=n ＊ z / 120 ＊ (1+d ＊ cosα / D);

[0078] The calculation formula of the natural frequency fo of the bearing outer ring is as follows:

[0079] fo=n ＊ z / 120 ＊ (1-d ＊ cosa / D);

[0080] The calculation formula of the bearing rolling element natural frequency fe is as follows:

[0081] fe=n ＊ D / 120 / d ＊ (1-d^2 ＊ cosα^2 / (D^2));

[0082] The calculation formula of the bearing cage natural frequency fc is as follows:

[0083] fc=n / 120 ＊ (1-d ＊ cosα / D);

[0084] In the formula,

[0085] n is shaft frequency / shaft speed;

[0086] z is the number of rolling elements;

[0087] d is the rolling element diameter;

[0088] α is the bearing contact angle;

[0089] D is the pitch diameter of the raceway.

[0090] Step 4: The integrated control unit obtains the analysis result sent by the vibration analysis unit, and sends a command signal to the intelligent lubrication unit according to the analysis result.

[0091] Wherein, when the analysis result is that there is no abnormal vibration, the integrated control unit sends a first instruction signal to the intelligent lubrication unit; when the analysis result is that there is abnormal vibration, the integrated control unit sends a second instruction signal to the intelligent lubrication unit;

[0092] Step 5: The intelligent lubrication unit receives the command signal sent by the integrated control unit, and performs multi-point periodic oiling action or abnormal single-point oiling action on the lubrication points of the equipment according to the command signal.

[0093] Among them, the intelligent lubrication unit performs multi-point periodic oiling according to the first command signal; the intelligent lubrication unit performs abnormal single-point oiling according to the second command signal. After the abnormal single-point oiling is completed, steps 1 to 4 are repeated. If the analysis result is that there is no abnormal vibration, the integrated control unit sends the first command signal to the intelligent lubrication unit, and the intelligent lubrication unit performs multi-point periodic oiling according to the first command signal. After the abnormal single-point oiling is completed, steps 1 to 4 are repeated to reach the set number of times and the corresponding number of abnormal single-point oiling actions are completed. If the analysis result is always that there is abnormal vibration, the integrated control unit issues an alarm prompt, which is used to shut down the machine to repair the fault point and replace equipment components (for example, if there is a bearing fault, replace the bearing). In addition, on this basis, if the temperature data still does not drop after completing the corresponding number of abnormal single-point oiling actions, the integrated control unit issues an alarm prompt.

[0094] The intelligent lubrication unit includes an oil pump, a lubrication pipeline, an electromagnetic oil feeder, a flow sensor and a controller.

[0095] The oil inlet end of the oil pump is connected to the lubricating oil tank, the oil outlet end of the oil pump is connected to one end of several lubrication pipelines, the other end of the lubrication pipeline is located at the lubrication point of the equipment, and an electromagnetic oil feeder and a flow sensor are arranged on the lubrication pipeline.

[0096] The controller is specifically configured as a PLC controller, which receives command signals sent by the integrated control unit, and is respectively connected to a control end of the oil pump, a control end of the electromagnetic oil feeder, and a control end of the flow sensor.

[0097] In step 5, the multi-point periodic oil injection process is as follows:

[0098] The controller receives the first command signal, starts the oil pump, delivers lubricating grease to each electromagnetic oil feeder, turns on each electromagnetic oil feeder, and outputs a set amount of oil from each lubrication pipeline to the lubrication point of the equipment;

[0099] In step 5, the abnormal single-point oiling action process is as follows:

[0100] The controller receives the second command signal, starts the oil pump, turns on the set electromagnetic oil feeder, and the set electromagnetic oil feeder outputs the set oil volume to the lubrication point of the equipment through the corresponding lubrication pipeline.

[0101] The intelligent lubrication unit also includes a flow sensor arranged on the lubrication pipeline, and the controller signal is connected to the control end of the flow sensor. The controller monitors the oil supply of each lubrication pipeline through the flow sensor, and cooperates with the electromagnetic oiler to accurately control the oil supply and oil supply time of each lubrication point according to the requirements of different lubrication points of the equipment.

[0102] In a set time period T (for example, 24 hours), the theoretical consumption of lubricating grease of the lubrication points (for example, bearings) of the equipment is calculated to be Q0.

[0103] During the multi-point periodic oil injection process, within the set time period T (for example, 24 hours), the flow sensor monitors the flow rate Q of the lubricating grease flowing through the lubrication pipeline and uploads it to the controller. When the controller determines that the deviation between Q and Q0 is greater than the set threshold (for example, (Q0-Q) / Q0>0.1%), the controller uploads the integrated control unit to issue an alarm prompt. When the controller determines that the deviation between Q and Q0 is not greater than the set threshold (for example, (Q0-Q) / Q0≤0.1%), within the set time period T (for example, 24 hours), the controller starts the oil pump to supply oil injection times n, and the amount of oil supplied each time is Q / n.

[0104] On the one hand, the intelligent lubrication unit realizes the deviation verification of the theoretical consumption and actual injection amount of lubricating grease at each lubrication point of the equipment, so that the actual injection amount meets the threshold condition and ensures that the total injection amount meets the lubrication standard. On the other hand, the intelligent lubrication unit injects lubricating grease at a fixed time and quantity according to the consumption of lubricating grease within the set time period T (for example, 24 hours) of each lubrication point of the equipment, so that the daily consumption and injection amount of lubricating grease reach a dynamic balance, forming a short-term multi-cycle lubrication, and effectively preventing the electromagnetic oiler valve from being blocked due to long-term non-use.

[0105] So far, the present embodiment has been described in detail with reference to the accompanying drawings. Based on the above description, those skilled in the art should have a clear understanding of the intelligent diagnosis lubrication method and system based on remote vibration monitoring of the present invention. The intelligent diagnosis lubrication method and system based on remote vibration monitoring of the present invention collects vibration data of the monitored equipment in real time through a vibration collection unit, and receives and uploads the data in a centralized manner through a gateway feedback unit, so as to realize real-time data transmission based on the industrial Internet and improve timeliness. The vibration analysis unit performs abnormal vibration analysis, and uses the waveform amplitude, the resonance frequency concentrated frequency band, the bottom ridge of the concentrated frequency band, and the equally spaced waveforms in the acceleration spectrum diagram as key characteristic indicators of abnormal vibration of the equipment, so as to accurately and reliably diagnose abnormal vibration. On this basis, the multiple harmonics of the natural frequency of the equipment bearing in the envelope diagram are also used as key characteristic indicators of abnormal vibration of the equipment, and a secondary judgment is made on the abnormal vibration diagnosis, so as to further improve the diagnostic accuracy of abnormal vibration. When the analysis result is that there is no abnormal vibration, the comprehensive control unit controls the intelligent lubrication unit to perform multi-point periodic oiling action on the lubrication points of the equipment, so as to realize fixed-point, timed, and quantitative oiling. When the analysis result is that there is abnormal vibration, the comprehensive control unit controls the intelligent lubrication unit to perform abnormal single-point oiling action on the lubrication points of the equipment, or issues an alarm prompt, so as to stop the equipment for repairing the fault point and replacing equipment components, so as to realize normal and safe operation of the equipment.

[0106] Of course, the specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An intelligent diagnostic lubrication method based on remote vibration monitoring, characterized in that: The steps include: Step 1: The vibration collection unit collects vibration data of the monitored equipment and uploads the vibration data; Step 2: The gateway feedback unit receives the vibration data uploaded by the vibration collection unit and uploads the vibration data again; Step 3: The vibration analysis unit performs abnormal vibration analysis based on the vibration data uploaded by the gateway feedback unit and sends the analysis results; Step 4: The integrated control unit obtains the analysis result sent by the vibration analysis unit, and sends a command signal to the intelligent lubrication unit according to the analysis result; Step 5: The intelligent lubrication unit receives the command signal sent by the integrated control unit, and performs multi-point periodic oiling action or abnormal single-point oiling action on the lubrication points of the equipment according to the command signal.

2. The intelligent diagnostic lubrication method based on remote vibration monitoring according to claim 1 is characterized in that: The vibration collection unit includes a vibration sensor, which is disposed on the monitored device. The vibration sensor collects vibration data of the monitored device, and the vibration data includes acceleration values ​​and / or velocity values.

3. The intelligent diagnostic lubrication method based on remote vibration monitoring according to claim 2 is characterized in that: In step 3, the vibration analysis unit performs abnormal vibration analysis as follows: Step 31, the vibration analysis unit obtains an acceleration spectrum diagram from the vibration data; Step 32, set the vibration amplitude T. When the waveform amplitude in the acceleration spectrum diagram is not greater than T, the output analysis result is that there is no abnormal vibration. When the waveform amplitude in the monitoring acceleration spectrum diagram is greater than T, the resonance frequency concentration band in the acceleration spectrum diagram is identified again, and the frequency band with a bulge at the bottom is continuously screened in the resonance frequency concentration band. If there are equally spaced waveforms in the frequency band with a bulge at the bottom, the output analysis result is that there is abnormal vibration.

4. The intelligent diagnostic lubrication method based on remote vibration monitoring according to claim 3 is characterized in that: The process of judging whether there are equally spaced waveforms in the frequency band with a bulge at the bottom is as follows: If the frequency interval between the highest point and the second highest point of acceleration is B, and the frequency interval between the highest point and the third highest point of acceleration is B, then there are equally spaced waveforms in the frequency band with a bulge at the bottom.

5. The intelligent diagnostic lubrication method based on remote vibration monitoring according to claim 3 is characterized in that: In step 31, the vibration analysis unit obtains an envelope diagram from the vibration data; In step 32, after there are equally spaced waveforms in the frequency band with a bulge at the bottom, when multiple harmonics of the natural frequency of the equipment bearing are continuously identified in the envelope diagram, the analysis result is outputted as the presence of abnormal vibration.

6. The intelligent diagnostic lubrication method based on remote vibration monitoring according to claim 5 is characterized in that: The natural frequencies of equipment bearings include the natural frequency fi of the inner ring of the bearing, the natural frequency fo of the outer ring of the bearing, the natural frequency fe of the bearing rolling element, and the natural frequency fc of the bearing cage; The calculation formula of the bearing inner ring natural frequency fi is as follows: fi=n*z / 120*(1+d*cosα / D); The calculation formula of the natural frequency fo of the bearing outer ring is as follows: fo=n*z / 120*(1-d*cosa / D); The calculation formula of the bearing rolling element natural frequency fe is as follows: fe=n*D / 120 / d*(1-d^2*cosα^2 / (D^2)); The calculation formula of the bearing cage natural frequency fc is as follows: fc=n / 120*(1-d*cosα / D); In the formula, n is shaft frequency / shaft speed; z is the number of rolling elements; d is the rolling element diameter; α is the bearing contact angle; D is the pitch diameter of the raceway.

7. An intelligent diagnostic lubrication method based on remote vibration monitoring according to claim 3 or 5, characterized in that: In step 4, when the analysis result is that there is no abnormal vibration, the integrated control unit sends a first instruction signal to the intelligent lubrication unit; when the analysis result is that there is abnormal vibration, the integrated control unit sends a second instruction signal to the intelligent lubrication unit; In step 5, the intelligent lubrication unit performs multi-point periodic oiling according to the first command signal; the intelligent lubrication unit performs abnormal single-point oiling according to the second command signal; after the abnormal single-point oiling is completed, steps 1 to 4 are repeated. If the analysis result is that there is no abnormal vibration, the integrated control unit sends the first command signal to the intelligent lubrication unit, and the intelligent lubrication unit performs multi-point periodic oiling according to the first command signal; after the abnormal single-point oiling is completed, steps 1 to 4 are repeated to reach the set number of times and the corresponding number of abnormal single-point oiling actions are completed. If the analysis result is always that there is abnormal vibration, the integrated control unit issues an alarm prompt.

8. The intelligent diagnostic lubrication method based on remote vibration monitoring according to claim 7 is characterized in that: The intelligent lubrication unit includes an oil pump, a lubrication pipeline, an electromagnetic oil feeder and a controller; The oil outlet end of the oil pump is connected to one end of a plurality of lubrication pipelines, the other end of the lubrication pipeline is located at the lubrication point of the equipment, and the electromagnetic oil feeder is arranged on the lubrication pipeline; The controller receives the command signal sent by the integrated control unit, and the controller is respectively connected to the control end of the oil pump and the control end of the electromagnetic oil feeder; In step 5, the multi-point periodic oil injection process is as follows: The controller receives the first command signal, starts the oil pump, turns on each electromagnetic oil feeder, and outputs a set amount of oil to the lubrication point of the equipment through each lubrication pipeline; In step 5, the abnormal single-point oiling action process is as follows: The controller receives the second command signal, starts the oil pump, turns on the set electromagnetic oil feeder, and the set electromagnetic oil feeder outputs the set oil volume to the lubrication point of the equipment through the corresponding lubrication pipeline.

9. The intelligent diagnostic lubrication method based on remote vibration monitoring according to claim 8, characterized in that: In the set time period T, the theoretical consumption of lubricating grease at the lubrication point of the equipment is Q0; The intelligent lubrication unit further comprises a flow sensor arranged on the lubrication pipeline, and the controller signal is connected to the control end of the flow sensor; During the multi-point periodic oil injection process, within the set time period T, the flow rate Q of the lubricating grease flowing through the lubrication pipeline is monitored by the flow sensor and uploaded to the controller; When the controller determines that the deviation between Q and Q0 is greater than the set threshold, the controller uploads the integrated control unit to issue an alarm prompt; When the controller determines that the deviation between Q and Q0 is not greater than the set threshold, within the set time period T, the controller starts the oil pump to supply oil for n times, and the amount of oil supplied each time is Q / n.

10. An intelligent diagnosis lubrication system based on remote vibration monitoring, used to implement the intelligent diagnosis lubrication method based on remote vibration monitoring according to any one of claims 1 to 9, characterized in that: include: The vibration collection unit collects the vibration data of the monitored equipment and uploads the vibration data; The gateway feedback unit receives the vibration data uploaded by the vibration collection unit and uploads the vibration data again; The vibration analysis unit performs abnormal vibration analysis based on the vibration data uploaded by the gateway feedback unit and sends the analysis results; The integrated control unit obtains the analysis results sent by the vibration analysis unit, sends a command signal to the intelligent lubrication unit according to the analysis results, and controls the operation of the vibration collection unit, the gateway feedback unit and the vibration analysis unit; The intelligent lubrication unit receives the command signal sent by the integrated control unit, and performs multi-point periodic oil injection or abnormal single-point oil injection according to the command signal.

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