Intelligent bolt device for monitoring gesture of crank of beam-pumping unit and monitoring method of intelligent bolt device

Abstract

The invention discloses an intelligent bolt device for monitoring the posture of a crank of a beam-pumping unit and a monitoring method of the intelligent bolt device. The intelligent bolt device comprises a bolt body, strain sensing devices located on the end faces of the two axial ends of the bolt body, vibration acceleration sensing devices located in the two axial ends of the bolt body and a posture angle sensing device located in the center of the interior of the bolt body. The system further comprises a data edge processing module and a communication module. The method is used for solving the problems that in the prior art, a monitoring method for the posture of the crank of the beam-pumping unit is low in accuracy, prone to causing monitoring errors, large in implementation difficulty and high in maintenance cost, and the purposes that the posture change of the crank is monitored more accurately in real time, the monitoring difficulty is reduced, and the maintenance cost is reduced are achieved.

Description

Technical Field

[0001] The invention relates to the field of oil production equipment monitoring, and in particular to an intelligent latch device for monitoring the crank posture of a beam pumping unit and a monitoring method thereof. Background Art

[0002] As the core equipment in the oil extraction process, the movement state of the beam crank of the pumping unit has a crucial impact on the pumping efficiency and equipment life. Abnormal changes in the crank posture may not only lead to a decrease in pumping efficiency, but also cause equipment failure and even safety accidents.

[0003] In the prior art, there are two main ways to monitor the crank posture of a beam pump: Method 1, directly install a corresponding sensor on the crank, and identify the crank fault by directly judging the sensor's sensing signal; Method 2, based on dynamic mechanism modeling, predict the crank fault posture through simulation. This type of prior art generally has the following shortcomings in actual application:

[0004] (1) Dynamic mechanism modeling methods often require detailed system knowledge and theoretical foundations. The modeling process is complex and requires high accuracy of input data and model parameters. It is easy to have problems with insufficient prediction accuracy. In addition, it is difficult to implement effective modeling for complex, unknown or difficult-to-measure processes.

[0005] (2) Directly determine the sensor sensing signal. Since the existing sensors are directly installed on the crank surface, in the harsh oil field environment, the sensors are often affected by factors such as temperature, humidity, oil stains and vibration, which often lead to performance degradation or damage, resulting in low accuracy of monitoring results and high maintenance costs. In addition, the installation and maintenance of related sensors are more difficult under harsh working conditions.

[0006] In summary, the existing technologies for monitoring the crank posture of beam pumping units have significant limitations. Summary of the invention

[0007] The object of the present invention is to provide an intelligent latch device and a monitoring method for monitoring the crank attitude of a beam pumping unit, so as to solve the problems of low accuracy, easy monitoring errors, great implementation difficulty and high maintenance cost in the monitoring method of the crank attitude of a beam pumping unit in the prior art, so as to achieve more accurate real-time monitoring of crank attitude changes, reduce monitoring difficulty and reduce maintenance costs.

[0008] The present invention is achieved through the following technical solutions:

[0009] An intelligent latch device for monitoring the crank attitude of a beam pumping unit comprises a latch body, a strain sensing device located at the end surfaces of both axial ends of the latch body, a vibration acceleration sensing device located inside the axial ends of the latch body, and a posture angle sensing device located at the center of the latch body; and further comprises:

[0010] A data edge processing module is connected to the strain sensing device, the vibration acceleration sensing device and the attitude angle sensing device, and is used to perform edge processing on the received original monitoring data to obtain edge processing results;

[0011] The communication module is connected to the data edge processing module by signal, and is used to send the edge processing result to the outside.

[0012] In view of the problems of low accuracy, easy monitoring error, high implementation difficulty and high maintenance cost in the existing methods for monitoring the crank attitude of beam pumping units, the present invention first proposes an intelligent latch device for monitoring the crank attitude of beam pumping units. The crank latch is an existing component in the beam crank of the pumping unit. The traditional crank latch is only used as a fixing part and is installed in the crank hole of the pumping unit when in use. In this solution, two strain sensing devices, two vibration acceleration sensing devices and one attitude angle sensing device are set on the latch body; wherein:

[0013] The two strain sensing devices are located on the end faces of the two axial ends of the bolt body, and are used to monitor the stress changes at both ends of the bolt body during the crank movement. By capturing the stress changes at the micro-strain level, the movement state and force conditions of the crank are reflected. The two vibration acceleration sensing devices are located inside the two axial ends of the bolt body, and are used to monitor the vibration acceleration of the two ends of the bolt body in three directions in the Cartesian coordinate system during the crank movement. The attitude angle sensing device is set at the center position inside the bolt body, and is used to monitor the attitude angle and tilt changes of the bolt body during the crank movement.

[0014] The present application also includes a data edge processing module and a communication module. The data edge processing module is used to receive and process the monitoring signals of all the aforementioned sensing devices, and transmit the edge processing results to the communication module, which is then sent to the receiving end through the communication module, so that the crank operation status can be analyzed and warned at the receiving end. Among them, the data edge processing module and the communication module can realize signal connection through any existing signal transmission method; the communication module can realize signal transmission with the external receiving end through any existing wired or wireless communication technology.

[0015] The present application can synchronously obtain the operating status of the crank of the beam pumping unit by monitoring the operating status of the intelligent latch device, which is conducive to timely discovering potential faults and taking corresponding measures for prevention and maintenance, thereby reducing the maintenance cost and downtime of the equipment, providing strong support for the operation and maintenance of the pumping unit, and helping to improve the operating efficiency of the oil production equipment, thereby improving the efficiency of the entire oil production process. Compared with the prior art, the present application integrates all the sensing devices on the crank latch of the beam pumping unit. Since the latch body is installed in the existing crank hole, there is no need to change the structure of the existing pumping unit crank. Only the traditional crank latch is replaced with the latch body of the present application, which can provide a more stable and good working environment for each sensing device, significantly reduce the influence of external temperature, humidity, oil stains and other factors on the performance of the sensor, improve the monitoring accuracy and working life, and reduce the installation difficulty and maintenance cost; in addition, compared with the dynamic mechanism modeling method, the present application does not need to carry out a complex modeling process, reduces the theoretical requirements for relevant staff, and is more conducive to the promotion and application in the oil well field.

[0016] The strain sensing device, vibration acceleration sensing device, attitude angle sensing device, data edge processing module and communication module in the present application can all be implemented using existing technologies, wherein each sensing device is based on the premise of being able to achieve the required sensing requirements, and the data edge processing module can only pre-process the received original monitoring data, and the pre-processed data is sent to the corresponding receiving end via the communication module for further analysis and processing, or a processing program can be preset in the data edge processing module to obtain the processing results of the finished product or semi-finished product and then transmit them to the corresponding receiving end; of course, the processing program preset here is preferably an existing program that can be implemented by technical personnel in this field, such as setting corresponding thresholds for each sensing signal, judging whether it exceeds the corresponding threshold, etc.

[0017] Furthermore, the two strain sensing devices are symmetrically distributed along the axial center of the bolt body, and the two vibration acceleration sensing devices are symmetrically distributed along the axial center of the bolt body.

[0018] That is, relative to the cross section where the axial center of the bolt body is located, the two strain sensing devices are symmetrically distributed, and the two vibration acceleration sensing devices are also symmetrically distributed. This solution is conducive to comprehensively judging the overall force and vibration conditions of the bolt body according to the strain and vibration acceleration conditions at both ends of the bolt body, thereby more accurately realizing the monitoring of the force and vibration conditions of the crank.

[0019] Furthermore, the data edge processing module includes:

[0020] Data preprocessing unit: used to preprocess the received original monitoring data to obtain a preprocessing signal;

[0021] Signal processing unit: based on the preprocessed signal, obtains parameters reflecting the force condition, vibration condition and posture of the bolt body.

[0022] The data preprocessing unit may use any existing preprocessing technology to preprocess the received raw monitoring data. The specific preprocessing method aims to reduce noise and improve data quality.

[0023] A monitoring method based on the intelligent bolt device in the present application comprises:

[0024] The latch body is installed in the crank hole of the pumping unit, so that the strain sensing devices at both ends of the latch body are respectively closely attached to the two side hole walls of the crank hole of the pumping unit;

[0025] During the operation of the oil pump, the strain sensing device, the vibration acceleration sensing device and the attitude angle sensing device collect original monitoring data in real time and send them to the data edge processing module;

[0026] The data edge processing module performs edge processing on the received original monitoring data and transmits the edge processing result to the communication module;

[0027] The communication module sends the edge processing result to the outside.

[0028] During the further research, the inventor of this case found that although the intelligent latch device of this application can obtain the monitoring data of the force, vibration and posture of the latch body, and those skilled in the art can directly judge the operating status of the pumping unit crank based on these monitoring data, this direct judgment method has low accuracy and is prone to misjudgment, missed judgment, etc. In order to overcome the above-mentioned defects, this application proposes the following edge processing technology solution:

[0029] First, based on the monitoring data of the vibration acceleration sensing device, a latch position matrix is ​​determined; the latch position matrix may include vibration energy data and attitude angle data;

[0030] Then, based on the monitoring data of the strain sensing device, a strain index matrix within the monitoring period is constructed, and the kurtosis of the strain index matrix is ​​calculated;

[0031] Then, based on the monitoring data of the attitude angle sensing device and the latch position matrix, a latch deflection matrix is ​​obtained.

[0032] According to the edge processing method of this scheme, the stress condition of the pin body during the monitoring period can be reflected in real time through the strain index matrix kurtosis; the deflection condition of the pin body can also be reflected in real time through the pin deflection matrix, thereby reflecting the posture condition of the pumping unit crank.

[0033] It should be noted that although the latch position matrix alone can reflect the posture status of the latch body and the crank to a certain extent, its accuracy cannot be guaranteed and large errors are prone to occur. Therefore, the latch deflection matrix of this scheme is obtained based on the monitoring data of the attitude angle sensing device and the latch position matrix. It can be understood that the monitoring data of the attitude angle sensing device reflects the posture status from one perspective, and the latch position matrix reflects the posture status from another perspective. The posture status obtained from each of the two perspectives is combined, and a comprehensive analysis and evaluation is performed to obtain the latch deflection matrix required for this scheme.

[0034] Furthermore, the latch position matrix is: {P o ,θ xoy ,θ yoz ,θ xoz}; where Po is the vibration energy of the center point O of the bolt body, θ xoy is the vibration attitude angle of point O in the XOY plane, θ yoz is the vibration attitude angle of point O in the YOZ plane, θ xoz is the vibration attitude angle of point O in the XOZ plane; where:

[0035]

[0036] Where: V 1x 、V 1y 、V 1z are the vibration acceleration values ​​in the X, Y and Z directions monitored by the vibration acceleration sensing device at one axial end of the bolt body; V 2x 、V 2y 、V 2z They are respectively the vibration acceleration values ​​in the X, Y and Z directions monitored by the vibration acceleration sensing device at the other axial end of the bolt body.

[0037] Preferably, the method for constructing a strain indicator matrix within a monitoring period includes:

[0038] Take the continuous n acquisitions of two strain sensing devices as a cycle and calculate the strain index ξ corresponding to each acquisition i ,ξ i =ξ i '-ξ i ”; where: i represents the strain index corresponding to the i-th acquisition, i = 1, 2, …, n; ξ i ' is the strain value monitored by the strain sensing device on the axial end face of the bolt body; ξ i ” is the strain value monitored by the strain sensing device at the other end face of the axial direction of the bolt body; the strain index matrix within the monitoring period is obtained: [ξ1,ξ2,ξ3,ξ4...ξi ... n ].

[0039] Preferably, the strain index matrix kurtosis is calculated by the following formula:

[0040]

[0041] Where: K is the kurtosis of the strain index matrix; is the average value of the strain index during the monitoring period.

[0042] Furthermore, the method for obtaining the latch deflection matrix includes:

[0043] Based on the monitoring data of the attitude angle sensing device and the latch position matrix, a latch state matrix A is constructed:

[0044]

[0045] Where: θ x ′、θ y ′、θ z ' are the azimuths in the X, Y and Z directions monitored by the attitude angle sensing device respectively;

[0046] The latch state matrix A is subjected to feature dimension reduction based on a singular value decomposition algorithm, and the matrix after dimension reduction is used as the latch deflection matrix.

[0047] The singular value decomposition algorithm in this solution can be implemented using existing technologies.

[0048] Furthermore, although the above method and steps can realize real-time monitoring of the crank force and posture, it is difficult to detect sudden changes in crank vibration and force conditions, that is, it is difficult to respond quickly when the crank has abnormal movements. In order to overcome this problem, the present solution also includes:

[0049] Based on the pin position matrix and the strain index matrix kurtosis, the pin mutation index Δ is calculated:

[0050]

[0051] Where: W j Represents the force and vibration index in the jth cycle; W j-1 Represents the force and vibration index in the j-1th cycle;

[0052]

[0053] Where: P j is the P corresponding to the jth period o The standardized value of K jis the standardized value of the strain index matrix kurtosis corresponding to the jth period; P j-1 is the P corresponding to the j-1th period o The standardized value of K j-1 is the standardized value of the kurtosis of the strain index matrix corresponding to the j-1th period.

[0054] It can be seen that this scheme introduces indicators for reflecting the force and vibration of the pin, and indicators for reflecting the sudden change of the pin; by analyzing the force and vibration conditions in two adjacent cycles, the crank vibration and force conditions in the current cycle are quantitatively and accurately calculated, compared with the sudden change in the previous cycle. Based on this, the sudden change in the crank vibration and force conditions can be quickly discovered, and a quick response can be made when the crank has abnormal movement, while reducing the possibility of misjudgment and improving the accuracy of identifying abnormal crank movement.

[0055] Preferably, in specific application of this solution, a threshold value may be set for the latch mutation index Δ. If the threshold value is exceeded, it is determined that the crank is abnormal, otherwise it is normal.

[0056] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0057] 1. The present invention can synchronously obtain the operating status of the crank of the beam pumping unit by monitoring the operating status of the intelligent latch device, which is conducive to timely discovering potential faults and taking corresponding measures for prevention and maintenance, thereby reducing the maintenance cost and downtime of the equipment, providing strong support for the operation and maintenance of the pumping unit, and helping to improve the operating efficiency of the oil extraction equipment, thereby improving the efficiency of the entire oil extraction process.

[0058] 2. The present invention integrates all the sensing devices on the crank pin of the walking beam oil pump. There is no need to change the structure of the existing oil pump crank. Only the traditional crank pin needs to be replaced with the pin body of the present application. A more stable and good working environment can be provided for each sensing device, which significantly reduces the impact of external temperature, humidity, oil stains and other factors on the sensor performance, improves the monitoring accuracy and service life, and reduces the installation difficulty and maintenance cost.

[0059] 3. The present invention does not require a complicated modeling process, which reduces the theoretical requirements for relevant staff and is more conducive to promotion and application in oil well sites.

[0060] 4. The present invention can reflect the stress condition of the plug body in real time during the monitoring period through the strain index matrix kurtosis; it can also reflect the deflection condition of the plug body in real time through the plug deflection matrix, thereby reflecting the posture condition of the pumping unit crank.

[0061] 5. The present invention can quantitatively and accurately calculate the crank vibration and force conditions in the current cycle and the mutation conditions compared with the previous cycle. Based on this, the sudden changes in the crank vibration and force conditions can be quickly discovered, and then a quick response can be made when the crank has abnormal movements, while reducing the possibility of misjudgment and improving the accuracy of identifying abnormal crank movements. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0063] Figure 1 It is a structural schematic diagram of a specific embodiment of the present invention;

[0064] Figure 2 It is a schematic diagram of a flow chart of a specific embodiment of the present invention.

[0065] Marks and corresponding parts names in the attached drawings:

[0066] 1-pin body, 2-strain sensing device, 3-vibration acceleration sensing device, 4-attitude angle sensing device, 5-data edge processing module, 6-power module, 7-communication module, 8-wiring groove. DETAILED DESCRIPTION

[0067] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with embodiments and drawings. The exemplary embodiments of the present invention and their description are only used to explain the present invention and are not intended to limit the present invention.

[0068] Embodiment 1:

[0069] like Figure 1 The intelligent latch device for monitoring the crank attitude of a beam pumping unit shown in the figure comprises a latch body 1, a strain sensing device 2 located at the end surfaces of the axial ends of the latch body 1, a vibration acceleration sensing device 3 located inside the axial ends of the latch body 1, and a posture angle sensing device 4 located at the center of the latch body 1. The two strain sensing devices 2 are symmetrically distributed along the axial center of the latch body 1, and the two vibration acceleration sensing devices 3 are symmetrically distributed along the axial center of the latch body 1.

[0070] In this embodiment, the latch body 1 is a cylindrical structure, and its specific size matches the size of the crank hole of the monitored oil pump.

[0071] In this embodiment:

[0072] The strain sensing device 2 is a strain gauge; for example, a BF350-3FB high-sensitivity strain gauge is used, which can detect small stress changes;

[0073] The vibration acceleration sensing device 3 is a three-axis vibration acceleration sensor; for example, the A27F100 three-axis vibration acceleration sensor can accurately capture and record multi-dimensional vibration information, including vibration amplitude, frequency and direction, thereby providing detailed vibration information analysis;

[0074] The attitude angle sensing device 4 is a gyroscope; if a JY61 high-precision gyroscope balance monitor is used, it can not only monitor the attitude angle and tilt changes of the pumping unit crank in real time, but also has high precision, high stability and rapid response capabilities, ensuring that the attitude changes of the crank can be accurately reflected under complex working conditions, and providing reliable attitude monitoring data.

[0075] This embodiment also includes a data edge processing module 5 and a communication module 7 built into the plug body:

[0076] The data edge processing module 5 is signal-connected to the strain sensing device 2, the vibration acceleration sensing device 3 and the attitude angle sensing device 4, and is used to perform edge processing on the received original monitoring data to obtain edge processing results;

[0077] The communication module 7 is connected to the data edge processing module signal and is used to send the edge processing result to the outside, preferably using wireless communication technology to send the edge processing result to the outside.

[0078] The present embodiment further comprises a power module 6 built into the plug body, which is used to supply power to all electrical devices in the intelligent plug device; for example, a 18650 type detachable storage battery is used, so that the device can continue to operate even without an external power supply.

[0079] The data edge processing module in this embodiment includes:

[0080] Data preprocessing unit: used to preprocess the received original monitoring data to obtain a preprocessed signal; the preprocessing includes any one or more of filtering, amplification, denoising, and feature information extraction.

[0081] Signal processing unit: based on the preprocessed signal, obtains parameters reflecting the force condition, vibration condition and posture of the bolt body 1.

[0082] In a more preferred embodiment, the outer surface of the plug body 1 is treated with wear resistance and corrosion resistance, such as providing a hard alloy coating, a ceramic coating or a nano-composite coating.

[0083] Embodiment 2:

[0084] A method for monitoring the crank attitude of a beam pumping unit is implemented based on the intelligent latch device described in Example 1. The specific monitoring method is as follows: Figure 2 As shown, including:

[0085] The latch body 1 is installed in the crank hole of the pumping unit, so that the strain sensing devices 2 at both ends of the latch body 1 are respectively closely attached to the two side hole walls of the crank hole of the pumping unit to ensure a good assembly relationship;

[0086] During the operation of the oil pump, the strain sensing device 2, the vibration acceleration sensing device 3 and the attitude angle sensing device 4 are started to collect the original monitoring data in real time and send it to the data edge processing module;

[0087] The data edge processing module performs edge processing on the received original monitoring data and transmits the edge processing result to the communication module;

[0088] The communication module sends the edge processing result to the remote monitoring center.

[0089] Embodiment 3:

[0090] A method for monitoring crank posture of a beam pumping unit, based on Embodiment 2, wherein the edge processing comprises:

[0091] Firstly, the received original monitoring data is preprocessed by a data preprocessing unit to obtain a preprocessing signal;

[0092] The pre-processed signal is then subsequently processed by a signal processing unit, specifically comprising the following steps:

[0093] Step 1: Determine the latch position matrix based on the monitoring data of the vibration acceleration sensing device 3:

[0094] The latch position matrix in this embodiment is represented by {P o ,θ xoy ,θ yoz ,θ xoz}; where Po is the vibration energy of the center point O of the bolt body, θ xoy is the vibration attitude angle of point O in the XOY plane, θ yoz is the vibration attitude angle of point O in the YOZ plane, θ xoz is the vibration attitude angle of point O in the XOZ plane; where:

[0095]

[0096] Where: V 1x 、V 1y 、V 1zare the vibration acceleration values ​​in the X, Y and Z directions monitored by the vibration acceleration sensing device at one axial end of the bolt body; V 2x 、V 2y 、V 2z They are respectively the vibration acceleration values ​​in the X, Y and Z directions monitored by the vibration acceleration sensing device at the other axial end of the bolt body.

[0097] Step 2: Based on the monitoring data of the strain sensing device 2, a strain index matrix within the monitoring period is constructed, and the kurtosis of the strain index matrix is ​​calculated; specifically:

[0098] First, the continuous acquisition of n times by two strain sensing devices is regarded as a cycle, and the strain index ξ corresponding to each acquisition is calculated. i ,ξ i =ξ i '-ξ i ”; where: i represents the strain index corresponding to the i-th acquisition, i = 1, 2, …, n; ξ i ' is the strain value monitored by the strain sensing device on the axial end face of the bolt body; ξ i ” is the strain value monitored by the strain sensing device at the other end face of the axial direction of the bolt body; the strain index matrix within the monitoring period is obtained: [ξ1,ξ2,ξ3,ξ4...ξ i ... n ]. In this embodiment, the collection frequency of the strain sensing device is once per second.

[0099] Then, the strain index matrix kurtosis is calculated by the following formula:

[0100]

[0101] Where: K is the kurtosis of the strain index matrix; is the average value of the strain index during the monitoring period.

[0102] Step 3: Based on the monitoring data of the attitude angle sensing device 4 and the latch position matrix, a latch deflection matrix is ​​obtained. Specifically:

[0103] Based on the monitoring data of the attitude angle sensing device and the latch position matrix, a latch state matrix A is constructed:

[0104]

[0105] Where: θ x ′、θ y ′、θ z ' are the azimuths in the X, Y and Z directions monitored by the attitude angle sensing device respectively;

[0106] The latch state matrix A is subjected to feature dimension reduction based on a singular value decomposition algorithm, and the matrix A' after dimension reduction is used as the latch deflection matrix.

[0107] In this embodiment, the process of performing feature dimension reduction on the latch state matrix A based on the singular value decomposition algorithm includes:

[0108] For matrix A, its singular value decomposition is expressed as: A = U∑V T ; Among them, U represents an m-order orthogonal matrix; V represents an n-order orthogonal matrix; T is the transpose operator; Σ represents a singular value matrix.

[0109] Calculate A T The eigenvalue λ of A i , and i Arrange from large to small, and then solve the eigenvalue λ i The corresponding eigenvector ω i .

[0110] Solve for n-order orthogonal matrix V; Solve for singular value matrix Σ; Solve for m-order orthogonal matrix U;

[0111] Set all singular values ​​except the largest singular value in the singular value list to zero, and use the truncated singular value list to truncate the corresponding columns in matrices U and V, retaining only the columns corresponding to non-zero singular values, and further reconstruct the matrix, replacing the truncated matrix U, the truncated matrix Σ, and the truncated matrix V T Multiply them together to get the reduced-dimensional matrix A'.

[0112] Embodiment 4:

[0113] A method for monitoring the crank posture of a beam pumping unit. Based on Example 3, this embodiment further introduces a latch mutation index Δ:

[0114]

[0115] Where: W j Represents the force and vibration index in the jth cycle; W j-1 Represents the force and vibration index in the j-1th cycle;

[0116]

[0117] Where: P j is the P corresponding to the jth period o The standardized value of K j is the standardized value of the strain index matrix kurtosis corresponding to the jth period; P j-1 is the P corresponding to the j-1th period o The standardized value of K j-1is the standardized value of the kurtosis of the strain index matrix corresponding to the j-1th period.

[0118] The standardized values ​​described in this embodiment are all obtained by Z-score standardization.

[0119] In this embodiment, the communication module 7 sends the matrix A' and the latch mutation index Δ to the remote monitoring center, which analyzes the change in the crank posture of the pumping unit through the two indicators to make the monitoring more accurate.

[0120] The vibration posture of the pumping unit crank is determined by the matrix A', and the abnormal state is diagnosed by Δ.

[0121] In a more preferred embodiment: if Δ is greater than 50%, it is determined that the pumping unit crank is abnormal, and the remote monitoring center issues a prompt or warning message to facilitate staff to check and take countermeasures in time to reduce potential equipment failure or safety accident risks.

[0122] It should be noted that, in this article, terms such as "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In addition, the term "connected" used in this article can be directly connected or indirectly connected via other components without special explanation.

[0123] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of 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 latch device for monitoring the crank posture of a beam pumping unit, comprising a latch body (1), characterized in that: It also includes strain sensing devices (2) located at the end surfaces of the two axial ends of the bolt body (1), vibration acceleration sensing devices (3) located inside the two axial ends of the bolt body (1), and a posture angle sensing device (4) located at the center of the bolt body (1); and also includes: A data edge processing module is signal-connected to the strain sensing device (2), the vibration acceleration sensing device (3) and the attitude angle sensing device (4), and is used to perform edge processing on the received original monitoring data to obtain edge processing results; The communication module is connected to the data edge processing module by signal, and is used to send the edge processing result to the outside.

2. The intelligent latch device for monitoring crank posture of a beam pumping unit according to claim 1, characterized in that: The two strain sensing devices (2) are symmetrically distributed along the axial center of the bolt body (1), and the two vibration acceleration sensing devices (3) are symmetrically distributed along the axial center of the bolt body (1).

3. The intelligent latch device for monitoring crank posture of a beam pumping unit according to claim 1, characterized in that: The data edge processing module includes: Data preprocessing unit: used to preprocess the received original monitoring data to obtain a preprocessing signal; A signal processing unit is used to obtain parameters reflecting the force, vibration and posture of the bolt body (1) based on the preprocessed signal.

4. A monitoring method for an intelligent latch device for monitoring crank posture of a beam pumping unit according to any one of claims 1 to 3, characterized in that: include: The latch body (1) is installed in the crank hole of the oil pump, so that the strain sensing devices (2) at both ends of the latch body (1) are respectively closely attached to the two side hole walls of the crank hole of the oil pump; During the operation of the oil pump, the strain sensing device (2), the vibration acceleration sensing device (3) and the attitude angle sensing device (4) collect original monitoring data in real time and send them to the data edge processing module; The data edge processing module performs edge processing on the received original monitoring data and transmits the edge processing result to the communication module; The communication module sends the edge processing result to the outside.

5. The monitoring method according to claim 4, characterized in that: The edge processing includes: Determining a latch position matrix based on monitoring data of the vibration acceleration sensing device (3); Based on the monitoring data of the strain sensing device (2), a strain index matrix within the monitoring period is constructed, and the kurtosis of the strain index matrix is ​​calculated; Based on the monitoring data of the attitude angle sensing device (4) and the latch position matrix, a latch deflection matrix is ​​obtained.

6. The monitoring method according to claim 5, characterized in that: The latch position matrix is: {P o ,θ xoy ,θ yoz ,θ xoz }; Among them, P o is the vibration energy of the center point O of the bolt body, θ xoy is the vibration attitude angle of point O in the XOY plane, θ yoz is the vibration attitude angle of point O in the YOZ plane, θ xoz is the vibration attitude angle of point O in the XOZ plane; where: Where: V 1x 、V 1y 、V 1z are the vibration acceleration values ​​in the X, Y and Z directions monitored by the vibration acceleration sensing device at one axial end of the bolt body; V 2x 、V 2y 、V 2z They are respectively the vibration acceleration values ​​in the X, Y and Z directions monitored by the vibration acceleration sensing device at the other axial end of the bolt body.

7. The monitoring method according to claim 5, characterized in that: The method for constructing a strain indicator matrix within a monitoring period includes: Take the continuous n acquisitions of two strain sensing devices as a cycle and calculate the strain index ξ corresponding to each acquisition i ,ξ i =ξ i '-ξ i ”; where: i represents the strain index corresponding to the i-th acquisition, i = 1, 2, …, n; ξ i ' is the strain value monitored by the strain sensing device on the axial end face of the bolt body; ξ i ” is the strain value monitored by the strain sensing device at the other axial end face of the bolt body; The strain index matrix within the monitoring period is obtained: [ξ1,ξ2,ξ3,ξ4...ξ i ... n ].

8. The monitoring method according to claim 7, characterized in that: The strain index matrix kurtosis is calculated by the following formula: Where: K is the kurtosis of the strain index matrix; is the average value of the strain index during the monitoring period.

9. The monitoring method according to claim 6, characterized in that: The method for obtaining the latch deflection matrix comprises: Based on the monitoring data of the attitude angle sensing device and the latch position matrix, a latch state matrix A is constructed: Where: θ x ′、θ y ′、θ z ' are the azimuths in the X, Y and Z directions monitored by the attitude angle sensing device respectively; The latch state matrix A is subjected to feature dimension reduction based on a singular value decomposition algorithm, and the matrix after dimension reduction is used as the latch deflection matrix.

10. The monitoring method according to claim 6, characterized in that: Also includes: Based on the pin position matrix and the strain index matrix kurtosis, the pin mutation index Δ is calculated: Where: W j Represents the force and vibration index in the jth cycle; W j-1 Represents the force and vibration index in the j-1th cycle; Where: P j is the P corresponding to the jth period o The standardized value of K j is the standardized value of the strain index matrix kurtosis corresponding to the jth period; P j-1 is the P corresponding to the j-1th period o The standardized value of K j-1 is the standardized value of the kurtosis of the strain index matrix corresponding to the j-1th period.

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