Vibration anomaly diagnosis method and device, and fracturing equipment

Abstract

The present application relates to the technical field of fault diagnosis, and provides a vibration anomaly diagnosis method and device and fracturing equipment, the vibration anomaly diagnosis method comprises collecting vibration data of a fracturing pump, the vibration data of the fracturring pump comprises vibration data of each plunger in the fracturing pump in one operation cycle of the fracturing pump; if the standard deviation of the vibration data of a target plunger in the fracturing pump is greater than or equal to a first standard deviation threshold value, and the amplitude ratio of 1 times frequency to N times frequency of the vibration data of the fracturing pump in the frequency domain is greater than or equal to a first amplitude ratio threshold value, it is determined that the target plunger is in vibration anomaly; the defect that the operator often cannot know the specific position of the vibration anomaly when the fracturing equipment appears the vibration anomaly fault in the prior art can be solved, the specific position of the vibration anomaly of the fracturing equipment can be accurately positioned, and the operation efficiency of the fracturing equipment can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of fault diagnosis, in particular to a vibration abnormality diagnosis method and device and fracturing equipment. BACKGROUND

[0002] The fracturing equipment is a common operation machine, which is mainly used for fracturing operation of oil, gas and water wells, etc. With the increasing demand for energy such as oil and natural gas in people's daily life, the application of fracturing equipment is also more and more widely, and at the same time, the influence of the fault of fracturing equipment on the fracturing equipment is also increasing.

[0003] Because the construction conditions of the fracturing equipment may be relatively harsh and complex, in this case, it is likely to cause cracking or fracture of the internal parts of the fracturing equipment, which may cause vibration abnormality failure of the fracturing equipment. However, due to the structure and complexity of the fracturing equipment, when the vibration abnormality failure occurs, the operator often cannot know the specific position of the vibration abnormality, and needs to check the parts of the fracturing equipment one by one, which affects the operation efficiency of the fracturing equipment. SUMMARY

[0004] The present application provides a vibration abnormality diagnosis method and device and fracturing equipment to solve the defect that when the fracturing equipment has vibration abnormality failure, the operator often cannot know the specific position of the vibration abnormality, and needs to check the parts of the fracturing equipment one by one, which affects the operation efficiency of the fracturing equipment. The specific position of the vibration abnormality of the fracturing equipment can be accurately positioned, and the operation efficiency of the fracturing equipment can be improved.

[0005] The present application provides a vibration abnormality diagnosis method, comprising:

[0006] Collecting vibration data of the fracturing pump, the vibration data of the fracturing pump comprising vibration data of each plunger in the fracturing pump in one operation cycle of the fracturing pump;

[0007] If the standard deviation of the vibration data of the target plunger in the fracturing pump is greater than or equal to the first standard deviation threshold, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain is greater than or equal to the first amplitude ratio threshold, the vibration of the target plunger is determined to be abnormal; wherein the value of N is the same as the number of plungers in the fracturing pump.

[0008] According to the vibration abnormality diagnosis method provided by the present application, the plunger comprises an inlet valve and an outlet valve, and the vibration data of the plunger comprises the vibration data of the inlet valve and the vibration data of the outlet valve; after determining that the vibration of the target plunger is abnormal, the method further comprises:

[0009] If the standard deviation of the vibration data of the inlet valve is greater than or equal to the inlet valve standard deviation threshold value, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain is greater than or equal to the inlet valve amplitude ratio threshold value, it is determined that the inlet valve of the target plunger is in vibration anomaly.

[0010] If the standard deviation of the vibration data of the outlet valve is greater than or equal to the outlet valve standard deviation threshold value, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain is greater than or equal to the outlet valve amplitude ratio threshold value, it is determined that the outlet valve of the target plunger is in vibration anomaly.

[0011] According to the vibration anomaly diagnosis method provided by the application, after collecting the vibration data of the fracturing pump, the method further comprises:

[0012] If the standard deviation of the vibration data of the target plunger is greater than or equal to the second standard deviation threshold value and less than the first standard deviation threshold value, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain is greater than or equal to the second amplitude ratio threshold value and less than the first amplitude ratio threshold value, the vibration anomaly of the target plunger is warned.

[0013] The second standard deviation threshold value is less than the first standard deviation threshold value, and the second amplitude ratio threshold value is less than the first amplitude ratio threshold value.

[0014] According to the vibration anomaly diagnosis method provided by the application, the method further comprises:

[0015] When the current gear of the fracturing equipment is greater than or equal to the set gear, the vibration data of the transmission box of the fracturing equipment is collected, and the vibration data of the transmission box is the vibration data of the transmission box in one operating cycle.

[0016] If the standard deviation of the vibration data of the transmission box is greater than or equal to the third standard deviation threshold value corresponding to the current gear, and the amplitude ratio of the vibration data of the transmission box in the frequency domain is greater than or equal to the third amplitude ratio threshold value, it is determined that the transmission box is in vibration anomaly.

[0017] According to the vibration anomaly diagnosis method provided by the application, after collecting the vibration data of the transmission box of the fracturing equipment, the method further comprises:

[0018] If the standard deviation of the vibration data of the transmission box is greater than or equal to the fourth standard deviation threshold value and less than the third standard deviation threshold value, and the amplitude ratio of the vibration data of the transmission box in the frequency domain is greater than or equal to the fourth amplitude ratio threshold value and less than the third amplitude ratio threshold value, the vibration anomaly of the transmission box is warned.

[0019] The fourth standard deviation threshold value is less than the third standard deviation threshold value, and the fourth amplitude ratio threshold value is less than the third amplitude ratio threshold value.

[0020] According to the vibration anomaly diagnosis method provided by the application, the method further comprises:

[0021] collecting vibration data of the engine of the fracturing equipment when the current rotating speed of the engine of the fracturing equipment is greater than or equal to the set rotating speed;

[0022] determining that the engine vibration is abnormal if the standard deviation of the vibration data of the engine is greater than or equal to a fifth standard deviation threshold corresponding to the current rotating speed.

[0023] According to the vibration abnormality diagnosis method provided by the application, after collecting the vibration data of the engine of the fracturing equipment, the method further comprises:

[0024] performing vibration abnormality early warning of the engine if the standard deviation of the vibration data of the engine is greater than or equal to a sixth standard deviation threshold and less than the fifth standard deviation threshold.

[0025] The sixth standard deviation threshold is less than the fifth standard deviation threshold.

[0026] According to the vibration abnormality diagnosis method provided by the application, if the standard deviation of the vibration data of the engine is greater than or equal to a fifth standard deviation threshold corresponding to the current rotating speed, the method comprises:

[0027] determining a rotating speed interval corresponding to the current rotating speed of the engine;

[0028] determining the fifth standard deviation threshold based on the rotating speed interval corresponding to the current rotating speed of the engine;

[0029] determining that the engine vibration is abnormal if the standard deviation of the vibration data of the engine is greater than or equal to the fifth standard deviation threshold.

[0030] The application further provides a vibration abnormality diagnosis device, comprising:

[0031] a collecting module configured to collect vibration data of a fracturing pump, the vibration data of the fracturing pump comprising vibration data of each plunger in the fracturing pump in one operation cycle of the fracturing pump;

[0032] a diagnosis module configured to determine that vibration of a target plunger is abnormal if the standard deviation of the vibration data of the target plunger in the fracturing pump is greater than or equal to a first standard deviation threshold and the amplitude ratio of 1-fold frequency to N-fold frequency of the vibration data of the fracturing pump in the frequency domain is greater than or equal to a first amplitude ratio threshold, wherein N has the same value as the number of plungers in the fracturing pump.

[0033] The application further provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the above vibration abnormality diagnosis methods when executing the program.

[0034] The application further provides a non-transitory computer-readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement any one of the vibration anomaly diagnosis methods.

[0035] The application further provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to implement any one of the vibration anomaly diagnosis methods.

[0036] The application further provides a fracturing device comprising the vibration anomaly diagnosis device.

[0037] The vibration anomaly diagnosis method provided by the application collects vibration data of the fracturing pump in one operation cycle, and if the standard deviation of the vibration data of at least one target plunger in the fracturing pump is greater than or equal to a first standard deviation threshold value, the target plunger may have vibration anomaly, and by combining the amplitude ratio of the vibration data of the fracturing pump, if the amplitude ratio of the vibration data of the fracturing pump at 1 times frequency and N times frequency in the frequency domain is greater than or equal to a first amplitude ratio threshold value, the vibration anomaly of the fracturing pump can be determined, and the target plunger with vibration anomaly can be accurately positioned. Therefore, after the target plunger with vibration anomaly of the fracturing device is accurately positioned, the operator can process it, and the operation efficiency of the fracturing device can be improved. BRIEF DESCRIPTION OF DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the application or prior art, the following will briefly introduce the drawings needed in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative effort.

[0039] Figure 1 is one of the flowcharts of the vibration anomaly diagnosis method provided by the application;

[0040] Figure 2 is the second flowchart of the vibration anomaly diagnosis method provided by the application;

[0041] Figure 3 is the third flowchart of the vibration anomaly diagnosis method provided by the application;

[0042] Figure 4 is the fourth flowchart of the vibration anomaly diagnosis method provided by the application;

[0043] Figure 5 is the fifth flowchart of the vibration anomaly diagnosis method provided by the application;

[0044] Figure 6 is the structural schematic diagram of the vibration anomaly diagnosis device provided by the application;

[0045] Figure 7 is a structural schematic diagram of an electronic device provided by the present application. DETAILED DESCRIPTION

[0046] To make the objectives, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be described clearly and completely below with reference to the drawings in the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0047] Figure 1 is one of flow schematic diagrams of a vibration anomaly diagnosis method provided by the present application.

[0048] As shown in Figure 1 , the present embodiment provides a vibration anomaly diagnosis method, which can be executed by a controller of a fracturing device, and includes:

[0049] Step 101, collecting vibration data of a fracturing pump, the vibration data of the fracturing pump including vibration data of each plunger in the fracturing pump in one operation cycle of the fracturing pump;

[0050] Step 102, if the standard deviation of the vibration data of a target plunger in the fracturing pump is greater than or equal to a first standard deviation threshold, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain is greater than or equal to a first amplitude ratio threshold, determining that the target plunger is in vibration anomaly; wherein the value of N is the same as the number of plungers in the fracturing pump.

[0051] The fracturing device is a working machine for fracturing operation of oil, gas and water wells, and exemplary, the fracturing device can be a fracturing truck or other working machine including a fracturing pump.

[0052] Since the construction conditions of the fracturing device can be relatively harsh and complex, the fracturing device is prone to vibration anomaly failure, therefore, vibration sensors can be installed at multiple key components and historical failure components of the fracturing device to collect vibration data, and the vibration data can be transmitted to the controller of the fracturing device in a wireless transmission manner, exemplary, the vibration sensor can be a multi-axis wireless vibration sensor, further, the vibration sensor can be a multi-axis wireless vibration acceleration sensor, based on which, the collected vibration data can be vibration acceleration, and the vibration acceleration can be used to reflect vibration intensity.

[0053] In the implementation, the fracturing equipment can include a fracturing pump, and the fracturing pump can be a plunger fracturing pump that generates fracturing fluid through reciprocating movement of a plurality of plungers in the fracturing pump. Based on this, one operation cycle of the fracturing pump can be the time during which each plunger in the fracturing pump performs one reciprocating movement. A vibration sensor can be installed at the fracturing pump to collect vibration data of the fracturing pump and vibration data of the plungers.

[0054] In the collection, vibration data of the fracturing pump in one operation cycle and vibration data of each plunger in one operation cycle can be collected. The start point of the operation cycle can be the start point of work of any plunger in the fracturing pump. In the implementation, the lowest point of plunger movement can be taken as the start point of work of the plunger, that is, when a certain plunger starts to move upward at the lowest point, the vibration data of the fracturing pump and the vibration data of each plunger are collected. When the plunger starts to move upward at the lowest point again, it is considered that the fracturing pump completes one operation cycle, and the vibration data of the fracturing pump and the vibration data of each plunger in the next operation cycle can be collected. In the implementation, the start point of the operation cycle can be artificially set, that is, the plunger from which the data is collected can be changed according to actual needs, or the start point of work of the plunger can be changed according to actual needs. For example, the highest point of plunger movement can also be taken as the start point of work of the plunger.

[0055] In actual application, a hardware device such as a photoelectric switch can be installed at the start point of the operation cycle. The photoelectric switch can trigger photoelectric signals at the start point of each operation cycle of the fracturing pump, that is, the vibration data between two photoelectric signals is the vibration data in one operation cycle.

[0056] Since the plurality of plungers in the fracturing pump are cyclically moved, and the movement sequence of the plungers is fixed, that is, after the first plunger in the operation cycle completes one reciprocating movement, the second plunger starts to move reciprocally, and until the last plunger completes one reciprocating movement, the first plunger moves reciprocally again, therefore, during the process in which a certain plunger moves upward from the lowest point to the next time it moves upward from the lowest point, each plunger in the fracturing pump has already performed one reciprocating movement. Based on this, the vibration data of the fracturing pump in one operation cycle can include the vibration data of each plunger in the fracturing pump, and the vibration data of each plunger in the vibration data of the fracturing pump is arranged in the order of plunger movement. Therefore, when some data in the vibration data of the fracturing pump is abnormal, the plunger corresponding to the data can be determined to have vibration abnormality.

[0057] For example, the fracturing pump can include N plungers, and a first set number of vibration data can be collected evenly in one operation cycle of the fracturing pump, so that the vibration data can be evenly divided into N parts, and the vibration data of each plunger can be obtained. In the implementation, vibration anomaly diagnosis can be performed based on the vibration data of each plunger, so that when the vibration anomaly occurs in the plunger of the fracturing pump, the plunger with the vibration anomaly can be accurately positioned, the speed of fault maintenance can be improved, and the operation efficiency of the fracturing equipment can be improved.

[0058] In practical applications, the first set number can be greater than or equal to 300, that is, at least 300 vibration data are collected in one operation cycle of the fracturing pump, so that high-density vibration data of the fracturing pump can be collected.

[0059] The standard deviation can reflect the dispersion degree of a piece of data. For the fracturing equipment, if the dispersion degree of the vibration data is high, the vibration anomaly may occur. Therefore, in practical applications, the standard deviation of the vibration data of each plunger can be calculated, and the vibration data of the fracturing pump can be converted to the frequency domain, and the amplitude ratio of 1 times frequency to N times frequency can be calculated. Then, the standard deviation of the vibration data of each plunger can be compared with the first standard deviation threshold, and the amplitude ratio of 1 times frequency to N times frequency of the vibration data of the fracturing pump in the frequency domain can be compared with the first amplitude ratio threshold. If the standard deviation of the vibration data of at least one plunger is greater than or equal to the first standard deviation threshold, and the amplitude ratio of 1 times frequency to N times frequency of the vibration data of the fracturing pump in the frequency domain is greater than or equal to the first amplitude ratio threshold, the plunger with the standard deviation of the vibration data greater than or equal to the first standard deviation threshold can be determined as a target plunger, and the target plunger can be determined as a plunger with the vibration anomaly.

[0060] The first standard deviation threshold is the standard deviation of the vibration data when the plunger is in normal operation, and the first amplitude ratio threshold is the amplitude ratio of 1 times frequency to N times frequency of the vibration data in the frequency domain when the fracturing pump is in normal operation.

[0061] In the implementation, the vibration data of the fracturing pump can be converted from the time domain to the frequency domain by using a discrete Fourier transform (DFT) method.

[0062] In the embodiment, the vibration data of the fracturing pump in a running cycle is collected by setting a starting point of data collection. If the standard deviation of the vibration data of at least one target plunger in the fracturing pump is greater than or equal to a first standard deviation threshold, the target plunger may have a vibration anomaly. By combining the amplitude ratio of the vibration data of the fracturing pump, if the amplitude ratio of the vibration data of the fracturing pump in the frequency domain is greater than or equal to a first amplitude ratio threshold, the vibration anomaly of the fracturing pump can be determined, and the target plunger with the vibration anomaly can be accurately located. Thus, after accurately locating the target plunger with the vibration anomaly of the fracturing equipment, the operator can process it, and the operation efficiency of the fracturing equipment can be improved.

[0063] In the example embodiment, the first standard deviation threshold can be determined by machine learning.

[0064] Specifically, the gear, load rate, transmission case oil temperature and other running state information of the fracturing equipment can be collected, and the collected running state information of the fracturing equipment is input into a pre-trained threshold prediction model to obtain the first standard deviation threshold output by the threshold prediction model. The threshold prediction model can be obtained by the following method:

[0065] The initial neural network model is trained based on the running state information samples and corresponding sample labels to obtain the threshold prediction model, wherein the sample labels can include the first standard deviation threshold. Thus, the threshold prediction model is established by machine learning.

[0066] In addition, the threshold prediction model can also output the first amplitude ratio threshold.

[0067] Thus, by machine learning, the first standard deviation threshold and the first amplitude ratio threshold can be more accurately determined, and the first standard deviation threshold and the first amplitude ratio threshold can be predicted in real time, the vibration anomaly of the fracturing equipment can be more accurately determined, and the operation efficiency of the fracturing equipment can be improved.

[0068] In the implementation, the first standard deviation threshold can also be determined by the lookup table method. The gear, load rate, transmission case oil temperature and other running state information of the fracturing equipment can be collected, and the first standard deviation threshold can be determined based on the running state information and the pre-established corresponding relationship between the running state information and the first standard deviation threshold.

[0069] The first amplitude ratio threshold can also be determined by the lookup table method. Specifically, the first amplitude ratio threshold corresponding to the running state information can be determined based on the corresponding relationship between the running state information and the first amplitude ratio threshold.

[0070] In the example embodiment, the standard deviation of the vibration data of a certain plunger can be greater than or equal to the first standard deviation threshold, and at the same time, the amplitude ratio of the vibration data of the fracturing pump in the frequency domain is greater than or equal to the first amplitude ratio threshold, and the situation occurs for a set number of times, and then it is determined that the vibration of the plunger with the standard deviation greater than or equal to the first standard deviation threshold is abnormal. For example, the set number of times can be 3. In this way, the specific position of the vibration abnormality in the fracturing equipment can be more accurately determined, and the contingency can be reduced.

[0071] In the example embodiment, each plunger in the fracturing pump includes an inlet valve and an outlet valve, and the vibration data of the plunger includes the vibration data of the inlet valve and the vibration data of the outlet valve.

[0072] After determining the vibration abnormality of the target plunger, the method further includes:

[0073] If the standard deviation of the vibration data of the inlet valve is greater than or equal to the inlet valve standard deviation threshold, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain is greater than or equal to the inlet valve amplitude ratio threshold, it is determined that the vibration of the inlet valve of the target plunger is abnormal.

[0074] And / or, if the standard deviation of the vibration data of the outlet valve is greater than or equal to the outlet valve standard deviation threshold, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain is greater than or equal to the outlet valve amplitude ratio threshold, it is determined that the vibration of the outlet valve of the target plunger is abnormal.

[0075] In actual application, each plunger in the fracturing pump can include an inlet valve and an outlet valve. In the fracturing equipment, the inlet valve can be used to suck the fracturing fluid into the plunger, and the outlet valve can be used to discharge the fracturing fluid from the plunger. Therefore, the inlet valve and the outlet valve of the fracturing pump are also important components. The vibration data of the inlet valve and the vibration data of the outlet valve of the fracturing pump can also be collected, and the vibration abnormality of the inlet valve can be diagnosed based on the vibration data of the inlet valve, and the vibration abnormality of the outlet valve can be diagnosed based on the vibration data of the outlet valve.

[0076] In actual application, after determining the vibration abnormality of the target plunger, the vibration abnormality of the inlet valve and the outlet valve in the target plunger can be further diagnosed.

[0077] In implementation, a threshold value of standard deviation of the inlet valve can be set for the standard deviation of the vibration data of the inlet valve, and a threshold value of amplitude ratio of the inlet valve can be set for the amplitude ratio of the vibration data of the inlet valve in the frequency domain between 1 times frequency and 2N times frequency, where N can also be equal to the number of plungers in the fracturing pump, that is, 2N can be equal to the total number of the inlet valves and the outlet valves in the plungers. If the standard deviation of the vibration data of the inlet valve of the target plunger is greater than or equal to the threshold value of the standard deviation of the inlet valve, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain between 1 times frequency and 2N times frequency is greater than or equal to the threshold value of the amplitude ratio of the inlet valve, it is determined that the vibration of the inlet valve of the target plunger is abnormal.

[0078] In addition, a threshold value of standard deviation of the outlet valve can be set for the standard deviation of the vibration data of the outlet valve, and a threshold value of amplitude ratio of the outlet valve can be set for the amplitude ratio of the vibration data of the outlet valve in the frequency domain between 1 times frequency and 2N times frequency, where N can also be equal to the number of plungers in the fracturing pump, that is, 2N can be equal to the total number of the inlet valves and the outlet valves in the plungers. If the standard deviation of the vibration data of the outlet valve of the target plunger is greater than or equal to the threshold value of the standard deviation of the outlet valve, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain between 1 times frequency and 2N times frequency is greater than or equal to the threshold value of the amplitude ratio of the outlet valve, it is determined that the vibration of the outlet valve of the target plunger is abnormal.

[0079] In implementation, the threshold value of the standard deviation of the inlet valve, the threshold value of the amplitude ratio of the inlet valve, the threshold value of the standard deviation of the outlet valve, and the threshold value of the amplitude ratio of the outlet valve can also be output by the threshold value prediction model.

[0080] In implementation, the threshold value of the standard deviation of the inlet valve can also be determined by a table lookup method. The gear position, load rate, transmission case oil temperature, and other operating state information of the fracturing equipment can be collected, and the threshold value of the standard deviation of the inlet valve can be determined based on the operating state information and a pre-established corresponding relationship between the operating state information and the threshold value of the standard deviation of the inlet valve.

[0081] The threshold value of the amplitude ratio of the inlet valve can also be determined by a table lookup method. Specifically, the threshold value of the amplitude ratio of the inlet valve corresponding to the operating state information can be determined based on a corresponding relationship between the operating state information and the threshold value of the amplitude ratio of the inlet valve.

[0082] The threshold value of the standard deviation of the outlet valve can also be determined by a table lookup method. The gear position, load rate, transmission case oil temperature, and other operating state information of the fracturing equipment can be collected, and the threshold value of the standard deviation of the outlet valve can be determined based on the operating state information and a pre-established corresponding relationship between the operating state information and the threshold value of the standard deviation of the outlet valve.

[0083] The threshold value of the amplitude ratio of the outlet valve can also be determined by a table lookup method. Specifically, the threshold value of the amplitude ratio of the outlet valve corresponding to the operating state information can be determined based on a corresponding relationship between the operating state information and the threshold value of the amplitude ratio of the outlet valve.

[0084] In the embodiment, each plunger of the fracturing device includes an inlet valve and an outlet valve. After determining that the target plunger is abnormal, the inlet valve and / or the outlet valve of the plunger can be diagnosed for vibration abnormality. In this way, the component where the vibration abnormality occurs can be further located to the inlet valve and / or the outlet valve inside the plunger, and the location is more accurate.

[0085] In the example embodiment, after collecting the vibration data of the fracturing pump, the vibration abnormality diagnosis method further includes:

[0086] If the standard deviation of the vibration data of the target plunger is greater than or equal to the second standard deviation threshold and less than the first standard deviation threshold, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain is greater than or equal to the second amplitude ratio threshold and less than the first amplitude ratio threshold, the vibration abnormality of the target plunger is warned.

[0087] The second standard deviation threshold is less than the first standard deviation threshold, and the second amplitude ratio threshold is less than the first amplitude ratio threshold.

[0088] In actual application, the vibration abnormality can also be warned when the vibration data of the plunger in the fracturing pump meets certain conditions. In the implementation, if the standard deviation of the vibration data of at least one plunger is greater than or equal to the second standard deviation threshold and less than the first standard deviation threshold, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain is greater than or equal to the second amplitude ratio threshold and less than the first amplitude ratio threshold, it is determined that the plunger will be abnormal, and the vibration abnormality of the plunger is warned.

[0089] In the implementation, the second standard deviation threshold can be a set proportion of the first standard deviation threshold, and the second amplitude ratio threshold can be a set proportion of the first amplitude ratio threshold. For example, the second standard deviation threshold can be 80% of the first standard deviation threshold, and the second amplitude ratio threshold can be 80% of the first amplitude ratio threshold.

[0090] In the embodiment, the second standard deviation threshold and the second amplitude ratio threshold are set, and whether the vibration abnormality early warning of the plunger is performed can be determined based on the vibration data of the fracturing pump and the vibration data of the plunger. If the standard deviation of the vibration data of the target plunger is greater than or equal to the second standard deviation threshold and less than the first standard deviation threshold, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain is greater than or equal to the second amplitude ratio threshold and less than the first amplitude ratio threshold, the vibration abnormality early warning of the target plunger can be performed. Since the second standard deviation threshold is less than the first standard deviation threshold, and the second amplitude ratio threshold is less than the first amplitude ratio threshold, the vibration abnormality early warning can be performed before the vibration abnormality of the target plunger is determined. Thus, the vibration abnormality of the target plunger can be predicted, the operator can find the vibration abnormality signs, the operator can determine the cause and development trend of the vibration abnormality, the working life of the plunger can be effectively prolonged, the problem that the operation efficiency of the fracturing equipment is affected due to the vibration abnormality of the plunger can be avoided, and the operation efficiency of the fracturing equipment can be improved.

[0091] In the example embodiment, the vibration abnormality diagnosis method further includes:

[0092] When the current gear of the fracturing equipment is greater than or equal to the set gear, the vibration data of the transmission box of the fracturing equipment is collected, and the vibration data of the transmission box is the vibration data of the transmission box in one running cycle.

[0093] If the standard deviation of the vibration data of the transmission box is greater than or equal to the third standard deviation threshold corresponding to the current gear, and the amplitude ratio of the vibration data of the transmission box in the frequency domain is greater than or equal to the third amplitude ratio threshold, it is determined that the transmission box is in vibration abnormality.

[0094] The fracturing equipment further includes a transmission box. The transmission refers to the power transmission between machines. The transmission box in the embodiment is connected with the fracturing pump, and is used to transmit the power of the engine to the fracturing pump to drive the movement of the fracturing pump. The vibration sensor can be arranged on the transmission box of the fracturing equipment

[0095] The set gear in the embodiment is one gear. When the current gear of the fracturing equipment is greater than or equal to one gear, it is determined that the transmission box starts to work. The vibration data of the transmission box can be collected by the vibration sensor arranged on the transmission box of the fracturing equipment. The vibration data of the transmission box can be the vibration data of the transmission box in one running cycle. Since the transmission box is connected with the fracturing pump, the running cycles of the transmission box and the fracturing pump can be consistent. Based on this, the vibration data of the transmission box can also be the vibration data of the fracturing pump in one running cycle.

[0096] In actual application, the second set number of vibration data of the transmission case in one operation cycle can be collected, and the value of the second set number can be greater than or equal to 300. That is, at least 300 vibration data of the transmission case in one operation cycle are collected, so as to realize high-density collection of the vibration data of the transmission case.

[0097] Similarly, whether the transmission case vibrates abnormally can be determined based on the standard deviation of the vibration data of the transmission case and the amplitude ratio in the frequency domain. Specifically, when the standard deviation of the vibration data of the transmission case is greater than or equal to a third standard deviation threshold corresponding to the current gear, and the amplitude ratio of the vibration data of the transmission case in the frequency domain is greater than or equal to a third amplitude ratio threshold, it is determined that the transmission case vibrates abnormally.

[0098] In implementation, since the transmission case is used to transmit power to the fracturing pump, the vibration of the transmission case and the vibration of the fracturing pump should be related. Based on this, when calculating the amplitude ratio of the vibration data of the transmission case in the frequency domain, the amplitude ratio of 1 times frequency and N times frequency can also be calculated, and the value of N is the same as the number of plungers in the fracturing pump.

[0099] In actual application, since the vibration data of the transmission case of the fracturing equipment is different at different gears, different third standard deviation thresholds can be set for the fracturing equipment at different gears, respectively. The vibration data of the transmission case collected at the current gear is also compared with the third standard deviation threshold corresponding to the current gear.

[0100] In implementation, the gear of the transmission case in the fracturing equipment can be used as the gear of the fracturing equipment.

[0101] The third standard deviation threshold is the standard deviation of the vibration data of the transmission case in normal operation, and the third amplitude ratio threshold is the amplitude ratio of the vibration data of the transmission case in normal operation in the frequency domain. In implementation, the third standard deviation threshold and the third amplitude ratio threshold can also be output by the threshold prediction model.

[0102] In implementation, the third standard deviation threshold can also be determined by a table lookup method. The gear, load rate, transmission case oil temperature and other operating state information of the fracturing equipment can be collected, and based on the operating state information and the corresponding relationship between the operating state information and the third standard deviation threshold, the third standard deviation threshold can be determined.

[0103] The third amplitude ratio threshold can also be determined by a table lookup method. Specifically, based on the corresponding relationship between the operating state information and the third amplitude ratio threshold, the third amplitude ratio threshold corresponding to the operating state information can be determined.

[0104] In the embodiment, when the current gear of the fracturing equipment is greater than or equal to the set gear, the vibration data of the transmission box is collected, and when the standard deviation of the vibration data of the transmission box is greater than or equal to a third standard deviation threshold corresponding to the current gear, and the amplitude ratio of the vibration data of the transmission box in the frequency domain is greater than or equal to a third amplitude ratio threshold, it is determined that the vibration of the transmission box is abnormal. In this way, when the vibration of the transmission box of the fracturing equipment is abnormal, accurate positioning can be performed, and since the third standard deviation threshold is different when the current gear of the fracturing equipment is different, the accuracy of the vibration abnormality diagnosis can be further improved.

[0105] In the example embodiment, after the vibration data of the transmission box of the fracturing equipment is collected, the vibration abnormality diagnosis method further includes:

[0106] If the standard deviation of the vibration data of the transmission box is greater than or equal to a fourth standard deviation threshold and less than the third standard deviation threshold, and the amplitude ratio of the vibration data of the transmission box in the frequency domain is greater than or equal to a fourth amplitude ratio threshold and less than the third amplitude ratio threshold, a vibration abnormality warning of the transmission box is performed.

[0107] The fourth standard deviation threshold is less than the third standard deviation threshold, and the fourth amplitude ratio threshold is less than the third amplitude ratio threshold.

[0108] In actual application, the vibration abnormality warning can also be performed when the vibration data of the transmission box of the fracturing equipment meets certain conditions. In the implementation, if the standard deviation of the vibration data of the transmission box is greater than or equal to a fourth standard deviation threshold and less than the third standard deviation threshold, and the amplitude ratio of the vibration data of the transmission box in the frequency domain is greater than or equal to a fourth amplitude ratio threshold and less than the third amplitude ratio threshold, it is determined that the vibration of the transmission box is about to be abnormal, and the vibration abnormality warning of the transmission box is performed.

[0109] In the implementation, the fourth standard deviation threshold can be a set proportion of the third standard deviation threshold, and the fourth amplitude ratio threshold can be a set proportion of the third amplitude ratio threshold. For example, the fourth standard deviation threshold can be 80% of the third standard deviation threshold, and the fourth amplitude ratio threshold can be 80% of the third amplitude ratio threshold.

[0110] In the embodiment, the fourth standard deviation threshold and the fourth amplitude ratio threshold are set, and whether the vibration abnormality early warning of the transmission case is performed can be determined based on the vibration data of the transmission case. If the standard deviation of the vibration data of the transmission case is greater than or equal to the fourth standard deviation threshold and less than the third standard deviation threshold, and the amplitude ratio of the vibration data of the transmission case in the frequency domain is greater than or equal to the fourth amplitude ratio threshold and less than the third amplitude ratio threshold, the vibration abnormality early warning of the transmission case is performed. Since the fourth standard deviation threshold is less than the third standard deviation threshold, and the fourth amplitude ratio threshold is less than the third amplitude ratio threshold, the vibration abnormality early warning can be performed before the vibration abnormality of the transmission case is determined. Thus, the problem that the operation efficiency of the fracturing equipment is affected due to the vibration abnormality of the transmission case can be effectively avoided, and the operation efficiency of the fracturing equipment can be improved.

[0111] In the example embodiment, the vibration abnormality diagnosis method further includes:

[0112] The vibration data of the engine of the fracturing equipment is collected when the current speed of the engine of the fracturing equipment is greater than or equal to the set speed.

[0113] If the standard deviation of the vibration data of the engine is greater than or equal to the fifth standard deviation threshold corresponding to the current speed, it is determined that the engine has a vibration abnormality.

[0114] In actual application, when the current gear of the fracturing equipment is greater than or equal to one gear, the transmission case of the fracturing equipment will also vibrate, and the vibration of the transmission case can interfere with the collection of the vibration data of the engine, resulting in inaccurate vibration data of the engine. Therefore, the vibration data of the engine of the fracturing equipment can be collected when the current gear of the fracturing equipment is less than one gear, i.e., when the gear is empty.

[0115] In actual application, the set speed can be set for the speed of the engine of the fracturing equipment. When the current speed of the engine is greater than or equal to the set speed, the vibration data of the engine of the fracturing equipment is collected by the vibration sensor arranged on the engine.

[0116] For example, the set speed can be 700 revolutions per minute (rpm).

[0117] In the implementation, since the vibration of the engine is inconsistent at different speeds, a corresponding fifth standard deviation threshold can be set for each speed of the engine. When the standard deviation of the vibration data of the engine is greater than or equal to the fifth standard deviation threshold corresponding to the current speed, it is determined that the engine has a vibration abnormality.

[0118] In actual application, the number of vibration data collected per unit time can be set according to actual conditions, wherein the unit time can be 1 second, and for example, at least 350 vibration data can be collected per second. In this way, high-density vibration data collection can be achieved, which is beneficial to accurately finding engine vibration abnormalities.

[0119] The fifth standard deviation threshold value is the standard deviation of the vibration data when the engine is running normally. In implementation, the fifth standard deviation threshold value can also be output by the threshold value prediction model.

[0120] In implementation, the fifth standard deviation threshold value can also be determined by a lookup table method. The running state information of the fracturing equipment, such as gear position, load rate, transmission case oil temperature, etc., can be collected, and based on the running state information and the pre-established corresponding relationship between the running state information and the fifth standard deviation threshold value, the fifth standard deviation threshold value can be determined.

[0121] In the embodiment, when the current speed of the fracturing equipment is greater than or equal to the set speed, the vibration data of the engine is collected, and when the standard deviation of the vibration data of the engine is greater than or equal to the fifth standard deviation threshold value corresponding to the current speed, it is determined that the engine has a vibration abnormality. In this way, accurate positioning can be performed when the engine of the fracturing equipment has a vibration abnormality, and since the fifth standard deviation threshold value is different when the current speed of the fracturing equipment is different, the accuracy of vibration abnormality diagnosis can be further improved.

[0122] In an exemplary embodiment, after collecting the vibration data of the engine of the fracturing equipment, the vibration abnormality diagnosis method further comprises:

[0123] If the standard deviation of the vibration data of the engine is greater than or equal to the sixth standard deviation threshold value and less than the fifth standard deviation threshold value, a vibration abnormality warning of the engine is performed.

[0124] The sixth standard deviation threshold value is less than the fifth standard deviation threshold value.

[0125] In actual application, a vibration abnormality warning can also be performed when the vibration data of the engine of the fracturing equipment meets certain conditions. In implementation, if the standard deviation of the vibration data of the engine is greater than or equal to the sixth standard deviation threshold value and less than the fifth standard deviation threshold value, it is determined that the engine will have a vibration abnormality, and a vibration abnormality warning of the engine is performed.

[0126] In implementation, the sixth standard deviation threshold value can be a set proportion of the fifth standard deviation threshold value. For example, the sixth standard deviation threshold value can be 80% of the fifth standard deviation threshold value.

[0127] In the embodiment, the sixth standard deviation threshold is set, and whether the vibration abnormality early warning of the engine is performed can be determined based on the vibration data of the engine. If the standard deviation of the vibration data of the engine is greater than or equal to the sixth standard deviation threshold and less than the fifth standard deviation threshold, the vibration abnormality early warning of the engine is performed. Since the sixth standard deviation threshold is less than the fifth standard deviation threshold, the vibration abnormality early warning can be performed before the vibration abnormality of the engine is determined. Thus, the problem that the working efficiency of the fracturing equipment is affected due to the vibration abnormality of the engine can be effectively avoided, and the working efficiency of the fracturing equipment can be improved.

[0128] In the example embodiment, if the standard deviation of the vibration data of the engine is greater than or equal to the fifth standard deviation threshold corresponding to the current rotating speed, the vibration abnormality of the engine is determined, including:

[0129] The rotating speed interval corresponding to the current rotating speed of the engine is determined.

[0130] The fifth standard deviation threshold is determined based on the rotating speed interval corresponding to the current rotating speed.

[0131] If the standard deviation of the vibration data of the engine is greater than or equal to the fifth standard deviation threshold, the vibration abnormality of the engine is determined.

[0132] In the implementation, there are many possibilities of the current rotating speed of the engine. If different fifth standard deviation thresholds are set for different current rotating speeds, the workload is large. Therefore, different fifth standard deviation thresholds can be set for different rotating speed intervals. For example, the interval length can be set in advance, and the rotating speed interval can be divided based on the interval length. For example, 100 rpm can be taken as the interval length to divide the rotating speed interval, such as 700 rpm to 800 rpm as one rotating speed interval and 800 rpm to 900 rpm as another rotating speed interval.

[0133] In the implementation, the rotating speed interval corresponding to the current rotating speed of the engine can be determined based on the current rotating speed of the engine, and the corresponding fifth standard deviation threshold can be determined based on the rotating speed interval. If the standard deviation of the vibration data of the engine is greater than or equal to the fifth standard deviation threshold, the vibration abnormality of the engine is determined.

[0134] In the embodiment, the rotating speed interval corresponding to the current rotating speed of the engine can be determined based on the current rotating speed of the engine, and the corresponding fifth standard deviation threshold can be determined based on the rotating speed interval. If the standard deviation of the vibration data of the engine is greater than or equal to the fifth standard deviation threshold, the vibration abnormality of the engine is determined.

[0135] The vibration abnormality diagnosis method provided by the present application will be described in detail below taking the fracturing equipment as a fracturing truck as an example.

[0136] Figure 2 is a second flowchart of the vibration abnormality diagnosis method provided by the present application.

[0137] Figure 3 Figure 3 is a flowchart of a third embodiment of the vibration anomaly diagnosis method provided by the present application.

[0138] Figure 4 Figure 4 is a flowchart of a fourth embodiment of the vibration anomaly diagnosis method provided by the present application.

[0139] Figure 5 Figure 5 is a flowchart of a fifth embodiment of the vibration anomaly diagnosis method provided by the present application.

[0140] As shown in Figure 2 the vibration anomaly diagnosis method provided by the present application can be used to diagnose the vibration anomaly of a fracturing pump, and when the gear of the fracturing equipment is greater than or equal to 1, the vibration anomaly diagnosis method can also be used to diagnose the vibration anomaly of a transmission case, and when the engine speed is greater than or equal to 700 rpm, the vibration anomaly diagnosis method can also be used to diagnose the vibration anomaly of an engine.

[0141] As shown in Figure 3 when the vibration anomaly diagnosis method is used to diagnose the vibration anomaly of a fracturing pump, the method includes the following steps:

[0142] Step 1: Collecting vibration data of the fracturing pump.

[0143] The fracturing pump includes five plungers, and in the implementation, the starting point of the operation of any one plunger can be used as the starting point of the vibration data collection, and 300 vibration data can be collected uniformly in one operating cycle of the fracturing pump, and 60 data can be collected for each plunger.

[0144] Step 2: Calculating the standard deviation of the vibration data of each plunger in the fracturing pump.

[0145] In the implementation, the standard deviation of each plunger can be calculated based on the 60 data.

[0146] Step 3: Determining the amplitude ratio of the vibration data of the fracturing pump.

[0147] In the implementation, the vibration data of the fracturing pump can be subjected to discrete Fourier transform to determine the amplitude ratio of the vibration data of the fracturing pump at 1 times frequency and 5 times frequency in the frequency domain.

[0148] Step 4: Determining whether the standard deviation of the vibration data of the plunger in the fracturing pump is greater than or equal to a first standard deviation threshold value. If yes, proceed to Step 5, and if no, proceed to Step 6.

[0149] In the implementation, the first standard deviation threshold value can be determined by machine learning or table lookup method.

[0150] Step 5: Determining whether the amplitude ratio of the vibration data of the fracturing pump is greater than or equal to a first amplitude ratio threshold value. If yes, determining that the plunger of the fracturing pump is in vibration anomaly, and if no, proceeding to Step 6.

[0151] In practice, the first amplitude ratio threshold can be determined through machine learning or table lookup.

[0152] Step six: Determine whether the standard deviation of the vibration data of the plunger in the fracturing pump is greater than or equal to the second standard deviation threshold. If so, proceed to step seven.

[0153] In practice, the second standard deviation threshold can be 80% of the first standard deviation threshold.

[0154] Step 7: Determine whether the amplitude ratio of the vibration data of the fracturing pump is greater than or equal to the second amplitude ratio threshold. If so, issue a vibration anomaly warning.

[0155] In practice, the second amplitude ratio threshold can be 80% of the first amplitude ratio threshold.

[0156] like Figure 4 As shown, the following steps are included in diagnosing vibration abnormalities in the transmission box:

[0157] Step 1: Collect vibration data of the transmission box.

[0158] During implementation, 300 vibration data points can be collected evenly within one operating cycle of the fracturing pump.

[0159] Step 2: Calculate the standard deviation of the vibration data of the transmission box.

[0160] Step 3: Determine the amplitude ratio of the vibration data of the transmission box.

[0161] In practice, the vibration data of the transmission box can be subjected to discrete Fourier transform to determine the amplitude ratio of the first harmonic to the fifth harmonic in the frequency domain.

[0162] Step four: Determine whether the standard deviation of the transmission box vibration data is greater than or equal to the third standard deviation threshold. If yes, proceed to step five; otherwise, proceed to step six.

[0163] In practice, the third standard deviation threshold can be determined through machine learning or table lookup. The third standard deviation threshold varies depending on the current gear of the fracturing equipment.

[0164] Step 5: Determine whether the amplitude ratio of the transmission box vibration data is greater than or equal to the third amplitude ratio threshold. If yes, determine that the transmission box vibration is abnormal; otherwise, proceed to step 6.

[0165] In practice, the third amplitude ratio threshold can be determined through machine learning or table lookup. The third amplitude ratio threshold varies depending on the current gear of the fracturing equipment.

[0166] Step six: Determine whether the standard deviation of the transmission box vibration data is greater than or equal to the fourth standard deviation threshold. If so, proceed to step seven.

[0167] In practice, the fourth standard deviation threshold can be 80% of the third standard deviation threshold.

[0168] Step 7: Determine whether the amplitude ratio of the transmission box's vibration data is greater than or equal to the fourth amplitude ratio threshold. If so, issue a vibration anomaly warning.

[0169] In practice, the fourth amplitude ratio threshold can be 80% of the third amplitude ratio threshold.

[0170] like Figure 5 As shown, the following steps are included in diagnosing abnormal engine vibration:

[0171] Step 1: Collect engine vibration data.

[0172] During implementation, it can collect 350 vibration data points per second.

[0173] Step 2: Calculate the standard deviation of the engine vibration data.

[0174] Step 3: Determine whether the standard deviation of the engine vibration data is greater than or equal to the fifth standard deviation threshold. If yes, determine that the engine vibration is abnormal; otherwise, proceed to step 4.

[0175] In practice, the corresponding speed range can be determined first based on the current speed of the engine, and the fifth standard deviation threshold can be determined based on the speed range in combination with machine learning or table lookup method.

[0176] Step four: Determine whether the standard deviation of the engine vibration data is greater than or equal to the sixth standard deviation threshold. If so, issue a vibration anomaly warning.

[0177] In practice, the sixth standard deviation threshold can be 80% of the fifth standard deviation threshold.

[0178] The vibration anomaly diagnosis device provided by the present invention is described below. The vibration anomaly diagnosis device described below can be referred to in correspondence with the vibration anomaly diagnosis method described above.

[0179] Figure 6 This is a schematic diagram of the vibration anomaly diagnosis device provided by the present invention.

[0180] The present invention also provides a vibration anomaly diagnosis device, such as... Figure 6 As shown, it includes:

[0181] The acquisition module 601 is used to acquire vibration data of the fracturing pump, which includes vibration data of each plunger in the fracturing pump during one operating cycle.

[0182] The diagnostic module 602 is configured to determine that the target plunger is in vibration anomaly if the standard deviation of the vibration data of the target plunger in the fracturing pump is greater than or equal to a first standard deviation threshold value, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain is greater than or equal to a first amplitude ratio threshold value.

[0183] In an example embodiment, the plunger includes an inlet valve and an outlet valve, and the vibration data of the plunger includes vibration data of the inlet valve and vibration data of the outlet valve; and the vibration anomaly diagnosis device further includes a plunger diagnosis module, which is specifically configured to:

[0184] determine that the inlet valve of the target plunger is in vibration anomaly if the standard deviation of the vibration data of the inlet valve is greater than or equal to an inlet valve standard deviation threshold value, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain is greater than or equal to an inlet valve amplitude ratio threshold value;

[0185] and / or determine that the outlet valve of the target plunger is in vibration anomaly if the standard deviation of the vibration data of the outlet valve is greater than or equal to an outlet valve standard deviation threshold value, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain is greater than or equal to an outlet valve amplitude ratio threshold value.

[0186] In an example embodiment, the vibration anomaly diagnosis device further includes a plunger early warning module, which is specifically configured to:

[0187] perform early warning of vibration anomaly of the target plunger if the standard deviation of the vibration data of the target plunger is greater than or equal to a second standard deviation threshold value and less than the first standard deviation threshold value, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain is greater than or equal to a second amplitude ratio threshold value and less than the first amplitude ratio threshold value;

[0188] wherein the second standard deviation threshold value is less than the first standard deviation threshold value, and the second amplitude ratio threshold value is less than the first amplitude ratio threshold value.

[0189] In an example embodiment, the vibration anomaly diagnosis device further includes a transmission case diagnosis module, which is specifically configured to:

[0190] collect vibration data of a transmission case of the fracturing equipment when the current gear of the fracturing equipment is greater than or equal to a set gear, the vibration data of the transmission case being vibration data of the transmission case in one operating cycle;

[0191] determine that the transmission case is in vibration anomaly if the standard deviation of the vibration data of the transmission case is greater than or equal to a third standard deviation threshold value corresponding to the current gear, and the amplitude ratio of the vibration data of the transmission case in the frequency domain is greater than or equal to a third amplitude ratio threshold value.

[0192] In an example embodiment, the vibration anomaly diagnosis device further includes a transmission case early warning module, which is specifically configured to:

[0193] if the standard deviation of the vibration data of the transmission case is greater than or equal to the fourth standard deviation threshold and less than the third standard deviation threshold, and the amplitude ratio of the vibration data of the transmission case in the frequency domain is greater than or equal to the fourth amplitude ratio threshold and less than the third amplitude ratio threshold, a vibration abnormality of the transmission case is warned;

[0194] The fourth standard deviation threshold is less than the third standard deviation threshold, and the fourth amplitude ratio threshold is less than the third amplitude ratio threshold.

[0195] In an example embodiment, the engine diagnosis module is further configured to:

[0196] collect vibration data of the engine of the fracturing equipment when the current rotating speed of the engine of the fracturing equipment is greater than or equal to a set rotating speed;

[0197] if the standard deviation of the vibration data of the engine is greater than or equal to a fifth standard deviation threshold corresponding to the current rotating speed, the engine is determined to have a vibration abnormality.

[0198] In an example embodiment, the engine warning module is further configured to:

[0199] if the standard deviation of the vibration data of the engine is greater than or equal to a sixth standard deviation threshold and less than the fifth standard deviation threshold, a vibration abnormality of the engine is warned;

[0200] The sixth standard deviation threshold is less than the fifth standard deviation threshold.

[0201] In an example embodiment, the engine diagnosis module is configured to:

[0202] determine a rotating speed interval corresponding to the current rotating speed of the engine;

[0203] determine the fifth standard deviation threshold based on the rotating speed interval corresponding to the current rotating speed of the engine;

[0204] if the standard deviation of the vibration data of the engine is greater than or equal to the fifth standard deviation threshold, the engine is determined to have a vibration abnormality.

[0205] Figure 7 An example of a schematic diagram of a physical structure of an electronic device is shown in FIG. 1. Figure 7As shown, the electronic device can include a processor 710, a communications interface 720, a memory 730, and a communications bus 740, wherein the processor 710, the communications interface 720, and the memory 730 complete mutual communication through the communications bus 740. The processor 710 can invoke a logical instruction in the memory 730 to execute a vibration anomaly diagnosis method, which includes:

[0206] Collecting vibration data of the fracturing pump, the vibration data of the fracturing pump including vibration data of each plunger in the fracturing pump in one operation cycle of the fracturing pump;

[0207] If the standard deviation of the vibration data of the target plunger in the fracturing pump is greater than or equal to a first standard deviation threshold, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain is greater than or equal to a first amplitude ratio threshold, it is determined that the target plunger is in vibration anomaly; wherein the value of N is the same as the number of plungers in the fracturing pump.

[0208] In addition, the logical instruction in the memory 730 described above can be implemented in the form of a software function unit and sold or used as an independent product, which can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various storage program codes.

[0209] On the other hand, the present application also provides a computer program product, the computer program product comprising a computer program, the computer program being storable on a non-transitory computer readable storage medium, and the computer program being executable by a processor to enable a computer to execute the vibration anomaly diagnosis method provided by the above-mentioned methods, the method comprising:

[0210] Collecting vibration data of the fracturing pump, the vibration data of the fracturing pump including vibration data of each plunger in the fracturing pump in one operation cycle of the fracturing pump;

[0211] If the standard deviation of the vibration data of the target piston in the fracturing pump is greater than or equal to a first standard deviation threshold value, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain is greater than or equal to a first amplitude ratio threshold value, it is determined that the target piston is in abnormal vibration.

[0212] In another aspect, the present application also provides a non-transitory computer readable storage medium having stored thereon a computer program, which, when executed by a processor, implements the vibration anomaly diagnosis method provided by the above method, and the method comprises:

[0213] Collecting vibration data of the fracturing pump, the vibration data of the fracturing pump comprising vibration data of each piston in the fracturing pump in one operating cycle of the fracturing pump;

[0214] If the standard deviation of the vibration data of the target piston in the fracturing pump is greater than or equal to a first standard deviation threshold value, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain is greater than or equal to a first amplitude ratio threshold value, it is determined that the target piston is in abnormal vibration.

[0215] The present application also provides a fracturing device comprising the vibration anomaly diagnosis device according to any one of the above embodiments, and the specific implementation of the fracturing device can refer to the above embodiments, which will not be described here.

[0216] The device embodiments described above are only schematic, and the units shown as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, i.e. they can be located in one place or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the present embodiment according to actual needs. Those skilled in the art can understand and implement it without creative labor.

[0217] From the above description of the embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and necessary general hardware platforms, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of software products, which can be stored in a computer readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and include a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods of the embodiments or some parts of the embodiments.

[0218] It should be pointed out finally that the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit the same; and although the present application has been described in detail with reference to the foregoing embodiments, it should be appreciated by those skilled in the art that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features thereof can be replaced equivalently; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for diagnosing vibration anomalies, characterized in that, include: Vibration data of the fracturing pump is collected, including vibration data of each plunger in the fracturing pump during one operating cycle of the fracturing pump; If the standard deviation of the vibration data of the target plunger in the fracturing pump is greater than or equal to the first standard deviation threshold, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain from the first harmonic to the Nth harmonic is greater than or equal to the first amplitude ratio threshold, the vibration of the target plunger is determined to be abnormal; wherein, the value of N is the same as the number of plungers in the fracturing pump.

2. The vibration anomaly diagnosis method according to claim 1, characterized in that, The plunger includes an inlet valve and an outlet valve, and the vibration data of the plunger includes the vibration data of the inlet valve and the vibration data of the outlet valve; After determining that the target plunger is vibrating abnormally, the method further includes: If the standard deviation of the vibration data of the inlet valve is greater than or equal to the standard deviation threshold of the inlet valve, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain of the first harmonic to the 2Nth harmonic is greater than or equal to the amplitude ratio threshold of the inlet valve, the vibration of the inlet valve of the target plunger is determined to be abnormal. And / or, if the standard deviation of the vibration data of the outlet valve is greater than or equal to the standard deviation threshold of the outlet valve, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain of the first harmonic to the 2Nth harmonic is greater than or equal to the amplitude ratio threshold of the outlet valve, the vibration of the outlet valve of the target plunger is determined to be abnormal.

3. The vibration anomaly diagnosis method according to claim 1, characterized in that, After collecting the vibration data of the fracturing pump, the method also includes: If the standard deviation of the vibration data of the target plunger is greater than or equal to the second standard deviation threshold and less than the first standard deviation threshold, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain from the first harmonic to the Nth harmonic is greater than or equal to the second amplitude ratio threshold and less than the first amplitude ratio threshold, an abnormal vibration warning for the target plunger is issued. Wherein, the second standard deviation threshold is less than the first standard deviation threshold, and the second amplitude ratio threshold is less than the first amplitude ratio threshold.

4. The vibration anomaly diagnosis method according to claim 1, characterized in that, Also includes: When the current gear of the fracturing equipment is greater than or equal to the set gear, the vibration data of the transmission box of the fracturing equipment is collected. The vibration data of the transmission box is the vibration data of the transmission box within one operating cycle. If the standard deviation of the vibration data of the transmission box is greater than or equal to the third standard deviation threshold corresponding to the current gear, and the amplitude ratio of the vibration data of the transmission box in the frequency domain from the first harmonic to the Nth harmonic is greater than or equal to the third amplitude ratio threshold, then the vibration of the transmission box is determined to be abnormal.

5. The vibration anomaly diagnosis method according to claim 4, characterized in that, After collecting the vibration data of the transmission box of the fracturing equipment, the method further includes: If the standard deviation of the vibration data of the transmission box is greater than or equal to the fourth standard deviation threshold and less than the third standard deviation threshold, and the amplitude ratio of the vibration data of the transmission box in the frequency domain from the first harmonic to the Nth harmonic is greater than or equal to the fourth amplitude ratio threshold and less than the third amplitude ratio threshold, an abnormal vibration warning for the transmission box is issued. Wherein, the fourth standard deviation threshold is less than the third standard deviation threshold, and the fourth amplitude ratio threshold is less than the third amplitude ratio threshold.

6. The vibration anomaly diagnosis method according to claim 1, characterized in that, Also includes: When the current speed of the engine of the fracturing equipment is greater than or equal to the set speed, the vibration data of the engine of the fracturing equipment is collected. If the standard deviation of the engine's vibration data is greater than or equal to the fifth standard deviation threshold corresponding to the current speed, the engine vibration is determined to be abnormal.

7. The vibration anomaly diagnosis method according to claim 6, characterized in that, After collecting the vibration data of the engine of the fracturing equipment, the method further includes: If the standard deviation of the engine's vibration data is greater than or equal to the sixth standard deviation threshold and less than the fifth standard deviation threshold, an abnormal vibration warning for the engine will be issued. The sixth standard deviation threshold is less than the fifth standard deviation threshold.

8. A vibration anomaly diagnostic device, characterized in that, include: The acquisition module is used to acquire vibration data of the fracturing pump, which includes vibration data of each plunger in the fracturing pump during one operating cycle of the fracturing pump. The diagnostic module is used to determine that the target plunger is vibrating abnormally if the standard deviation of the vibration data of the target plunger in the fracturing pump is greater than or equal to a first standard deviation threshold, and the amplitude ratio of the vibration data of the fracturing pump in the frequency domain from the first harmonic to the Nth harmonic is greater than or equal to a first amplitude ratio threshold; wherein, the value of N is the same as the number of plungers in the fracturing pump.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the vibration anomaly diagnosis method as described in any one of claims 1 to 7.

10. A fracturing device, characterized in that, Includes the vibration anomaly diagnostic device as described in claim 8.

Images