Ultra-long shafting bearing monitoring method, device, electronic equipment and system

Abstract

The invention discloses a super-long shafting bearing monitoring method and device, electronic equipment and a system, and belongs to the technical field of bearing monitoring. Determining a mapping relation between bearing displacement and bearing bending stress, a mapping relation between acceleration and bearing centrifugal force and a mapping relation among lubricating oil physical property parameters, rotating speed and axis position; displacement data of the bearing, real-time acceleration data of the bearing and lubricating oil physical property parameters are obtained; determining the bending stress of the bearing according to the real-time displacement data of the bearing; determining the centrifugal force of the bearing according to the real-time acceleration data of the bearing; determining the axis position according to the real-time physical property parameters of the lubricating oil; and determining the support counter-force of the bearing according to the bearing bending stress and the bearing centrifugal force, and monitoring the motion state of the bearing according to the support counter-force of the bearing and the axis position. The motion state of the bearing is monitored according to displacement of the bearing under the bending moment, centrifugal force under the acceleration and oil film distribution of lubricating oil at different positions.

Description

Technical Field

[0001] The present invention relates to the technical field of bearing monitoring, and in particular to a method, device, electronic equipment and system for monitoring an ultra-long shaft bearing. Background Art

[0002] As ships become larger, their propulsion shafts are getting longer and longer. As key components in ship machinery, the motion state of ultra-long shaft bearings directly affects the performance, life and safety of the entire mechanical system. Due to the complex spatial bending line shape of the ultra-long axis and the spatial curve state with multiple flexure segments, multi-source excitations such as operating loads (variable operating conditions), environmental loads (wave impact, hull deformation, etc.), and navigation motion states (full turn, S-bend track, etc.) will cause changes in bearing position and support force, which will cause the shaft system operation form to deviate from the design state, resulting in increased load, abnormal wear and shaft system vibration problems in some bearings. Therefore, real-time monitoring of the motion state of the bearings is an important part of ensuring the stability, reliability and safety of the power system.

[0003] In the prior art, vibration analysis technology is usually used to analyze vibration signals of conventional shaft bearings, and bearing faults are diagnosed based on the vibration signals; temperature monitoring technology monitors the temperature changes of the bearings to analyze whether the bearings are overheated or poorly lubricated. However, these prior arts are unable to prepare and intuitively monitor the operating status of the entire ultra-long shaft bearing.

[0004] Therefore, there is an urgent need for a method for monitoring ultra-long shaft bearings, which can perform comprehensive and multi-directional monitoring of ultra-long shaft bearings and further monitor the operating status of ultra-long shaft bearings. Summary of the invention

[0005] In view of this, it is necessary to provide a super-long shaft bearing monitoring method, device, electronic equipment and system, which can perform comprehensive and multi-directional monitoring of super-long shaft bearings, and then monitor the operating status of super-long shaft bearings.

[0006] In order to solve the above technical problems, on the one hand, the present invention provides a monitoring method for an ultra-long shaft bearing, wherein the bearing comprises a plurality of bearing segments of different types, and the method comprises: Constructing a geometric model of each bearing segment, determining a first mapping relationship between displacement of each bearing segment and bending stress, a second mapping relationship between acceleration and bearing centrifugal force, and a third mapping relationship between lubricating oil physical parameters, bearing speed and shaft center position; Acquire real-time displacement data and real-time acceleration data of each bearing segment; determine the real-time bearing bending stress based on the first mapping relationship and the real-time displacement data, determine the real-time bearing centrifugal force based on the second mapping relationship and the real-time acceleration data, and determine the real-time support reaction force according to the bearing bending stress and the bearing centrifugal force; Obtaining lubricant physical property parameters and real-time bearing segment speeds, and determining the axis position of each bearing segment based on the third mapping relationship, the lubricant physical property parameters, and the real-time bearing segment speeds; The bearing motion state is determined based on the support reaction force and axis position of each bearing segment.

[0007] In a possible implementation, a geometric model of each bearing segment is constructed to determine a first mapping relationship between the displacement of each bearing segment and the bending stress, a second mapping relationship between the acceleration and the centrifugal force of the bearing, and a third mapping relationship between the physical property parameters of the lubricating oil, the bearing speed and the axis position, including: The super-long shaft bearing is divided into sections with the intermediate bearing, stern bearing and bracket bearing as the boundaries, and the geometric model of each bearing section is constructed based on the finite element method; Based on the geometric model, displacement data of each bearing segment under different bending moments, bearing centrifugal force data under different accelerations, bearing speed data, lubricating oil physical property parameters and shaft center position data are obtained; Determine a first mapping relationship between the displacement of each bearing segment and the bending stress according to the displacement data and the corresponding bending moment; Determining a second mapping relationship between acceleration and bearing centrifugal force according to the bearing centrifugal force data and the corresponding acceleration; A third mapping relationship among the physical property parameters of the lubricating oil, the bearing speed data and the shaft center position data is determined according to the physical property parameters of the lubricating oil, the bearing speed data and the shaft center position data.

[0008] In a possible implementation, determining a first mapping relationship between the displacement of each bearing segment and the bending stress according to the displacement data and the corresponding bending moment includes: Calculate the moment of inertia of the bearing segments based on the cross-sectional shape and size of each bearing segment; A first function mapping relationship is constructed according to the moment of inertia, the displacement data under different bending moments, and the bending moment corresponding to the displacement data, and a first mapping relationship between the displacement of each bearing segment and the bending stress is generated.

[0009] In a possible implementation, determining a second mapping relationship between acceleration and bearing centrifugal force according to the bearing centrifugal force data and the corresponding acceleration includes: constructing a second function mapping relationship among acceleration, centrifugal force and bearing segment weight; A second mapping relationship between acceleration and bearing centrifugal force is determined according to the bearing centrifugal force data under different accelerations.

[0010] In a possible implementation, determining a third mapping relationship between the physical property parameters of the lubricating oil, the bearing speed data and the shaft center position data according to the physical property parameters of the lubricating oil, the bearing speed data and the shaft center position data includes: Based on the fluid finite element method, according to the bearing speed data, lubricating oil physical property parameters and shaft center position data, the oil film pressure distribution data of each bearing segment under different lubricating oil physical property parameters, different bearing speeds and different shaft center positions are calculated; A third mapping relationship among the physical property parameters of the lubricating oil, the bearing rotation speed and the axis position is determined according to the oil film pressure distribution data.

[0011] In a possible implementation, determining the real-time support reaction force according to the bearing bending stress and the bearing centrifugal force includes: Obtain the real-time acceleration of the bearing and the overall mass of the bearing; Calculate the gravity of the shaft system according to the real-time acceleration of the bearing and the overall mass of the bearing; The support reaction force of the bearing is determined according to the bearing bending stress, the bearing centrifugal force and the shaft system gravity.

[0012] In a possible implementation, determining the axis position of each bearing segment based on the third mapping relationship, the physical property parameters of the lubricating oil, and the real-time rotation speed of each bearing segment includes: Based on the third mapping relationship, calculating the dynamic viscosity of the lubricating oil according to the physical property parameters of the lubricating oil; The axis position is determined based on the bearing speed data and the dynamic viscosity of the lubricating oil.

[0013] In a second aspect, the present invention further provides an ultra-long shaft bearing monitoring device, comprising: A mapping relationship building module is used to build a geometric model of each bearing segment, determine a first mapping relationship between the displacement of each bearing segment and the bending stress, a second mapping relationship between the acceleration and the centrifugal force of the bearing, and a third mapping relationship between the physical property parameters of the lubricating oil, the bearing speed and the axis position; A support reaction force confirmation module is used to obtain real-time displacement data and real-time acceleration data of each bearing segment; determine the real-time bearing bending stress based on the first mapping relationship and the real-time displacement data, determine the real-time bearing centrifugal force based on the second mapping relationship and the real-time acceleration data, and determine the real-time support reaction force according to the bearing bending stress and the bearing centrifugal force; The axis center position confirmation module is used to obtain the physical property parameters of the lubricating oil and the real-time rotation speed of the bearing segments, and determine the axis center position of each bearing segment based on the third mapping relationship, the physical property parameters of the lubricating oil and the real-time rotation speed of each bearing segment; The motion state monitoring module is used to determine the bearing motion state according to the support reaction force and the axis position of each bearing segment.

[0014] In a third aspect, the present invention also provides an electronic device comprising a memory and a processor, wherein the memory is used to store programs and data; the processor is coupled to the memory, and is used to execute the program stored in the memory to implement the ultra-long shaft bearing monitoring method as described above, and / or to implement the ultra-long shaft bearing monitoring as described above.

[0015] In a fourth aspect, the present invention further provides a computer storage medium for storing computer-readable programs or instructions, which, when executed by a processor, can implement the ultra-long shaft bearing monitoring method as described above.

[0016] The beneficial effects of the present invention are as follows: first, the ultra-long shaft bearings are divided into multiple sections according to their types, and a geometric model of each bearing section is constructed to determine a first mapping relationship between the displacement of each bearing section and the bending stress, a second mapping relationship between the acceleration and the bearing centrifugal force, and a third mapping relationship between the lubricant physical property parameters, the bearing speed and the axis center position; then, the real-time displacement data and real-time acceleration data of each bearing section are obtained; the real-time bearing bending stress is determined based on the first mapping relationship and the real-time displacement data, the real-time bearing centrifugal force is determined based on the second mapping relationship and the real-time acceleration data, and the real-time support reaction force is determined according to the bearing bending stress and the bearing centrifugal force; then, the lubricant physical property parameters and the real-time bearing section speed are obtained, and the axis center position of each bearing section is determined based on the third mapping relationship, the lubricant physical property parameters and the real-time speed of each bearing section; finally, the bearing motion state is determined according to the support reaction force and the axis center position of each bearing section. The present invention divides the ultra-long shaft system bearing into multiple sections according to type, determines the bearing bending stress through the displacement data monitored in real time according to three mapping relationships, determines the bearing centrifugal force according to the acceleration, calculates the bearing support reaction force according to the bending stress and the bearing centrifugal force, monitors the motion state of the ultra-long shaft system bearing according to the physical properties of the lubricating oil and the axis position of the bearing speed, the support reaction force and the axis position, and accurately and intuitively infers the motion state of each bearing section through multi-directional motion parameters, thereby monitoring the motion state of the entire ultra-long shaft system bearing, providing a reference basis for ship operation and bearing maintenance, and ensuring the safe operation of the shaft system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 A schematic flow chart of an embodiment of the super-long shaft bearing monitoring method provided by the present invention; Figure 2 For the present invention Figure 1 A schematic flow chart of an embodiment of step S101; Figure 3 A geometric model diagram of the super-long shaft bearing segment provided by the present invention; Figure 4 For the present invention Figure 2 A schematic diagram of a flow chart of an embodiment of step S205; Figure 5 For the present invention Figure 1 A schematic diagram of a flow chart of an embodiment of step S102; Figure 6 For the present invention Figure 1 A schematic flow chart of an embodiment of step S103; Figure 7 A schematic structural diagram of an embodiment of the super-long shaft bearing monitoring device provided by the present invention; Figure 8 A schematic structural diagram of an embodiment of an electronic device for monitoring ultra-long shaft bearings provided by the present invention. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0020] In the description of the embodiments of the present invention, unless otherwise specified, "multiple" means two or more than two. "And / or" describes the mapping relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" may represent three situations: A exists alone, A and B exist at the same time, and B exists alone.

[0021] The descriptions of "first", "second", etc. involved in the embodiments of the present invention are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the technical features defined as "first" or "second" may explicitly or implicitly include at least one of the features.

[0022] Reference to an "embodiment" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0023] The support reaction force refers to the force applied to the bearing during operation, which mainly includes radial force and axial force; The displacement of a bearing refers to the displacement of the center of the inner ring of the bearing relative to the center of the outer ring due to the elastic deformation between the rolling elements and the raceway of the ring when the bearing is under load. This displacement includes radial displacement and axial displacement.

[0024] The present invention provides a method, device, electronic equipment and system for monitoring an ultra-long shaft bearing, which are described below respectively.

[0025] Figure 1 A schematic flow chart of an embodiment of the super-long shaft bearing monitoring method provided by the present invention is as follows: Figure 1 As shown, the super-long shaft bearing includes multiple bearing segments of different types, and the super-long shaft bearing monitoring method includes: S101, constructing a geometric model of each bearing segment, determining a first mapping relationship between displacement of each bearing segment and bending stress, a second mapping relationship between acceleration and bearing centrifugal force, and a third mapping relationship between lubricating oil physical parameters, bearing speed and shaft center position; S102, obtaining real-time displacement data and real-time acceleration data of each bearing segment; determining the real-time bearing bending stress based on the first mapping relationship and the real-time displacement data, determining the real-time bearing centrifugal force based on the second mapping relationship and the real-time acceleration data, and determining the real-time support reaction force according to the bearing bending stress and the bearing centrifugal force; S103, obtaining lubricating oil physical property parameters and real-time bearing segment speed, and determining the axis position of each bearing segment based on the third mapping relationship, the lubricating oil physical property parameters and the real-time bearing segment speed; S104, determining the bearing motion state according to the support reaction force and the axis position of each bearing segment.

[0026] It should be noted that extra-long shaft bearings are bearings used to support extra-long shaft systems (such as ship propulsion shaft systems). The torque of the main engine is reduced through the gearbox and then transmitted to the propeller to achieve ship propulsion. Extra-long shaft bearings have larger sizes and higher load-bearing capacity, and can withstand the large torque and load transmitted by the shaft system.

[0027] It should be further explained that when the bearing is subjected to bending moment, stress distribution will be generated inside it, causing the bearing to deform. The greater the bending moment, the greater the deformation of the bearing. The greater the deformation, the greater the displacement of the bearing. Bending stress is a combination of tensile stress and compressive stress, distributed on the cross-section of the structure. Bending moment affects the bending stress distribution of the bearing structure, and the action of bending stress causes the bearing to produce corresponding displacement. When the bearing is subjected to acceleration, gravity and acceleration will cause changes in the centrifugal force of the bearing.

[0028] It should be further explained that the physical parameters of lubricating oil, such as dynamic viscosity, density, temperature, water content, etc., will affect the lubrication effect and axis position of the bearing. Among them, dynamic viscosity is one of the most critical physical parameters of lubricating oil. The dynamic viscosity of lubricating oil determines the fluidity of lubricating oil and the formation of lubricating film. At higher speeds, lubricating oil with lower viscosity is required to ensure good fluidity and form a stable lubricating film on the bearing surface. At lower speeds, lubricating oil with slightly higher viscosity is selected to provide better load-bearing capacity and sealing performance. At the same time, the viscosity of lubricating oil will change at different temperatures; when the temperature rises, the viscosity decreases, which may cause the pressure bearing capacity of the oil film to decrease, thereby affecting the axis position; the bearing speed directly affects the thickness and stiffness of the oil film. As the speed increases, the thickness of the oil film will change, thereby affecting the axis position.

[0029] It should be further explained that the reaction force of the bearing support refers to the force on the support generated by the bearing during operation. By monitoring this force, the working state and stress of the bearing can be indirectly understood; the axis position refers to the deviation between the actual position and the theoretical position of the axis during the operation of the bearing. By monitoring the changes in the axis position, the operating stability and accuracy of the bearing can be intuitively understood; the oil film thickness and distribution state can be further calculated through the axis position and the physical properties of the lubricating oil. The oil film thickness and distribution state are important indicators for evaluating the lubrication performance of the bearing. The appropriate oil film thickness and distribution state can ensure that the bearing surface is fully lubricated, reduce direct contact and friction wear between metals, and thus extend the service life of the bearing.

[0030] Specifically, the bending stress of the bearing can be calculated based on the relationship between the bending stress and the bearing displacement using the real-time displacement data of each bearing segment monitored by the sensor; the centrifugal force of the bearing can be calculated based on the mapping relationship between acceleration and centrifugal force using the real-time acceleration data monitored by the sensor; the support reaction force of the bearing can be calculated based on the bending stress of the bearing, the centrifugal force of the bearing and the bearing's own gravity.

[0031] Furthermore, the dynamic viscosity of the lubricating oil is calculated by using the temperature data obtained by the temperature sensor and other physical parameters of the lubricating oil, and the axis position can be determined based on the dynamic viscosity and the bearing speed obtained by the speed sensor.

[0032] This embodiment divides the ultra-long shaft bearings into multiple sections according to their types, constructs a geometric model of each bearing section, determines a first mapping relationship between the displacement of each bearing section and the bending stress, a second mapping relationship between the acceleration and the bearing centrifugal force, and a third mapping relationship between the lubricant physical property parameters, the bearing speed and the axis center position; obtains real-time displacement data and real-time acceleration data of each bearing section; determines the real-time bearing bending stress based on the first mapping relationship and the real-time displacement data, determines the real-time bearing centrifugal force based on the second mapping relationship and the real-time acceleration data, and determines the real-time support reaction force according to the bearing bending stress and the bearing centrifugal force; obtains the lubricant physical property parameters and the real-time bearing section speed, and determines the axis center position of each bearing section based on the third mapping relationship, the lubricant physical property parameters and the real-time speed of each bearing section; finally, determines the bearing motion state according to the support reaction force and the axis center position of each bearing section. This embodiment divides the ultra-long shaft bearings into multiple sections according to their types, and according to three mapping relationships, determines the bearing bending stress through real-time monitored displacement data, determines the bearing centrifugal force based on acceleration, calculates the bearing support reaction force based on the bending stress and the bearing centrifugal force, and monitors the motion state of the ultra-long shaft bearings based on the support reaction force and the axis position according to the physical properties of the lubricating oil and the bearing speed and axis position.

[0033] This embodiment calculates the motion state of the bearing segment through multi-directional motion parameters, thereby monitoring the motion state of the entire ultra-long shaft system bearing, providing a reference basis for ship operation and bearing maintenance, and ensuring the safe operation of the shaft system. In some embodiments of the present invention, Figure 2 As shown, Figure 2 The present invention provides Figure 1 The flowchart of an embodiment of step S101 in the embodiment includes: S201, dividing the super-long shaft system bearing into segments with the intermediate bearing, the stern bearing, and the bracket bearing as the boundaries, and constructing a geometric model of each bearing segment based on the finite element method; S202, based on the geometric model, obtaining displacement data of each bearing segment under different bending moments, bearing centrifugal force data under different accelerations, bearing speed data, lubricating oil physical property parameters and shaft center position data; S203, determining a first mapping relationship between the displacement of each bearing segment and the bending stress according to the displacement data and the corresponding bending moment; S204, determining a second mapping relationship between acceleration and bearing centrifugal force according to the bearing centrifugal force data and the corresponding acceleration; S205, determining a third mapping relationship between the physical property parameters of the lubricating oil, the bearing speed data and the shaft center position data according to the physical property parameters of the lubricating oil, the bearing speed data and the shaft center position data.

[0034] It should be noted that the geometric model constructed in this embodiment is constructed based on the digital twin model. The digital twin model collects detailed design data of each bearing segment and its surrounding structures, uses advanced modeling technology, and constructs a virtual model that is highly similar to the real world. It can reflect the state and changes of the physical world in real time and provide more comprehensive and accurate information.

[0035] Specifically, Figure 3 As shown, Figure 3 The geometric model of the ultra-long shaft bearing provided by the present invention is divided into segments with the intermediate bearing 1, the stern bearing 2, and the bracket bearing 3 as the boundaries, and the detailed design data of each bearing segment and its surrounding structure are collected. Based on the digital twin model, a digital twin geometric model is constructed for each bearing segment, including drawing the geometric shape, the detailed shape of each bearing segment, etc. The geometric model is imported into the finite element analysis software, and the material parameters, grid division, event boundary conditions and loads, etc. are defined. The following motion analysis is performed in the finite element analysis software; The first mapping relationship analysis between bearing segment displacement and bending stress is to first define different levels of bending moments, simulate the bending state of the shaft system under different load conditions, run finite element analysis, obtain the displacement data (such as displacement, rotation angle, etc.) of each bearing segment under different bending moments, and analyze the relationship between the displacement data and bending stress; Analysis of the second mapping relationship between acceleration and bearing centrifugal force: define different accelerations (including rotational acceleration and linear acceleration), simulate the behavior of the shaft system under different motion states, calculate and apply the corresponding inertial force (including bearing centrifugal force), analyze its impact on the bearing and shaft system, obtain the bearing centrifugal force data of each bearing segment under different accelerations, and the change data of the axis position, analyze the relationship between acceleration and bearing centrifugal force, and the impact of centrifugal force on bearing life and shaft system stability; Analyze the third mapping relationship between lubricant physical parameters, bearing speed and axis position, set different bearing speeds, different dynamic viscosities and different axis positions, combine different lubricant dynamic viscosities, speeds and axis positions, and perform multiple groups of CFD simulations. Record the key data such as the simulated oil film pressure distribution, velocity field and oil film force under each group of parameters, extract the oil film force distribution data of each bearing under different working conditions from the simulation results, including size and direction, organize and analyze the oil film force data, study the influence of lubricant dynamic viscosity, speed and axis position on oil film force distribution, analyze the stability of axis position under different dynamic viscosities and speeds, and the influence trend of dynamic viscosity and speed changes on axis position.

[0036] This embodiment divides the ultra-long shaft bearing into multiple sections, constructs a geometric model of each bearing section, and analyzes the displacement of the bearing section under different bending moments, the centrifugal force under different accelerations, and the relationship between different lubricant physical parameters, bearing speed and axis position based on the finite element analysis method. The relationship between the motion parameters and the motion state of the ultra-long shaft can be accurately obtained, providing an accurate basis for monitoring the motion state.

[0037] In some embodiments of the present invention, determining a first mapping relationship between the displacement of each bearing segment and the bending stress according to the displacement data and the corresponding bending moment includes: Calculate the moment of inertia of the bearing segments based on the cross-sectional shape and size of each bearing segment; A first function mapping relationship is constructed according to the moment of inertia, the displacement data under different bending moments, and the bending moment corresponding to the displacement data, and a first mapping relationship between the displacement of each bearing segment and the bending stress is generated.

[0038] Specifically, the corresponding formula is selected according to the geometric shape of the cross section of the bearing segment, the moment of inertia of the bearing segment is calculated according to its size, and the first mapping relationship between the displacement of each bearing segment and the bending stress is analyzed according to the relationship between the bending stress, the moment of inertia and the bending moment.

[0039] This embodiment calculates the moment of inertia through the geometric shape of the bearing segment, analyzes the first mapping relationship between the displacement of each bearing segment and the bending stress based on the moment of inertia and the displacement data under different bending moments, reflects the bending stress of the bearing through the bending moment, and provides an accurate basis for monitoring the motion state of the bearing.

[0040] In some embodiments of the present invention, determining a second mapping relationship between acceleration and bearing centrifugal force according to bearing centrifugal force data and corresponding acceleration includes: constructing a second function mapping relationship among acceleration, centrifugal force and bearing segment weight; A second mapping relationship between acceleration and bearing centrifugal force is determined according to the bearing centrifugal force data under different accelerations.

[0041] It should be noted that the magnitude and direction of the acceleration determine the magnitude and direction of the centrifugal force of the bearing, and further determine the magnitude and direction of the support reaction force. According to the geometric model of the finite element and the bearing segment, the other working parameters are guaranteed to be consistent, different accelerations are defined, the motion state of the shaft system under different accelerations is simulated, the corresponding centrifugal force is calculated and applied, and the corresponding support reaction force is analyzed. The specific simulation results are described in Table 1 below. Table 1 provides the support reaction force of the bearing under different accelerations for the present invention.

[0042] Table 1 Bearing support reaction force under different accelerations

[0043] In some embodiments of the present invention, Figure 4 As shown, Figure 4 The present invention provides Figure 2 The flowchart of an embodiment of step S205 in the embodiment includes: S401, based on the fluid finite element method, according to the bearing speed data, the lubricating oil physical property parameters and the shaft center position data, calculate the oil film pressure distribution data of each bearing segment under different lubricating oil physical property parameters, different bearing speeds and different shaft center positions; S402: Determine a third mapping relationship among lubricating oil physical property parameters, bearing rotation speed and shaft center position according to the oil film pressure distribution data.

[0044] In some embodiments of the present invention, Figure 5 As shown, Figure 5 The present invention provides Figure 1 The flowchart of an embodiment of step S102 in FIG. 1 is a flowchart of an embodiment of step S102, wherein the real-time support reaction force is determined according to the bearing bending stress and the bearing centrifugal force, including: S501, obtaining the real-time acceleration of the bearing and the overall mass of the bearing; S502, calculating the gravity of the shaft system according to the real-time acceleration of the bearing and the overall mass of the bearing; S503. Determine the support reaction force of the bearing according to the bearing bending stress, the bearing centrifugal force and the shaft system gravity.

[0045] It should be noted that the support reaction force is a real-time expression of the interaction force between the bearing and the support during operation. It is affected by many factors, including the bending stress, centrifugal force, load size, geometric dimensions and material properties of the bearing. According to the real-time bearing segment displacement obtained by the sensor, combined with finite element calculation, the difference method can be used to obtain the bending stress generated by the bearing segment displacement on each bearing segment, and then the size and direction of the support reaction force generated by the bearing segment displacement on each bearing can be obtained; according to the real-time acceleration obtained by the sensor, combined with finite element calculation, the difference method can be used to obtain the size and direction of the support reaction force generated by the acceleration on each bearing; according to the overall mass of the bearing, the shaft system gravity can be calculated, and the bearing support reaction force can be calculated according to the bearing bending stress, bearing centrifugal force and shaft system gravity.

[0046] This embodiment calculates the support reaction force of the bearing based on the bending stress of the bearing, the centrifugal force of the bearing and the gravity of the shaft system, and analyzes the influence of various motion parameters and physical properties on the support reaction force from multiple perspectives, and can accurately calculate the support reaction force of the bearing based on various motion parameters and physical properties.

[0047] In some embodiments of the present invention, Figure 6 As shown, Figure 6 The present invention provides Figure 1The flowchart of an embodiment of step S103 in the embodiment of the present invention is as follows, determining the axis position of each bearing segment based on the third mapping relationship, the physical property parameters of the lubricating oil and the real-time rotation speed of each bearing segment, including: S601, calculating the dynamic viscosity of the lubricating oil according to the physical property parameters of the lubricating oil based on the third mapping relationship; S602: Determine the axis position according to the bearing speed data and the dynamic viscosity of the lubricating oil.

[0048] In order to better implement the super-long shaft bearing monitoring method in the embodiment of the present invention, based on the super-long shaft bearing monitoring method, correspondingly, Figure 7 As shown, the embodiment of the present invention further provides an ultra-long shaft bearing monitoring device 700 including: A mapping relationship building module 701 is used to build a geometric model of each bearing segment, determine a first mapping relationship between the displacement of each bearing segment and the bending stress, a second mapping relationship between the acceleration and the centrifugal force of the bearing, and a third mapping relationship between the physical property parameters of the lubricating oil, the bearing speed and the axis position; The support reaction force confirmation module 702 is used to obtain the real-time displacement data and real-time acceleration data of each bearing segment; determine the real-time bearing bending stress based on the first mapping relationship and the real-time displacement data, determine the real-time bearing centrifugal force based on the second mapping relationship and the real-time acceleration data, and determine the real-time support reaction force according to the bearing bending stress and the bearing centrifugal force; The shaft center position confirmation module 703 is used to obtain the lubricant oil physical property parameters and the real-time bearing segment speed, and determine the shaft center position of each bearing segment based on the third mapping relationship, the lubricant oil physical property parameters and the real-time bearing segment speed; The motion state monitoring module 704 is used to determine the motion state of the bearing according to the support reaction force and the axis position of each bearing segment.

[0049] The extra-long shaft bearing monitoring device 700 provided in the above embodiment can implement the technical solution described in the above embodiment of the extra-long shaft bearing monitoring method. The specific implementation principles of the above modules or units can refer to the corresponding contents in the above embodiment of the extra-long shaft bearing monitoring method, which will not be repeated here.

[0050] In the embodiment of the present invention, the ultra-long shaft bearing monitoring device may be an independent server, or a server network or server cluster composed of servers. For example, the ultra-long shaft bearing monitoring device described in the embodiment of the present invention includes but is not limited to a computer, a network host, a single network server, a plurality of network server sets or a cloud server composed of a plurality of servers. The cloud server is composed of a large number of computers or network servers based on cloud computing.

[0051] The present invention also provides an electronic device for monitoring bearings of an ultra-long shaft system, such as Figure 8As shown, Figure 6 This is a structural block diagram of an embodiment of an ultra-long shaft bearing monitoring electronic device provided by the present invention. The ultra-long shaft bearing monitoring electronic device 800 can be a computing electronic device such as a mobile terminal, a desktop computer, a notebook, a palm computer, and a server. The ultra-long shaft bearing monitoring electronic device 800 includes a processor 801 and a memory 802, wherein the memory 802 stores an ultra-long shaft bearing monitoring program 803.

[0052] In some embodiments, the memory 802 may be an internal storage unit of a computer electronic device, such as a hard disk or memory of the computer electronic device. In other embodiments, the memory 802 may also be an external storage electronic device of the computer electronic device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the computer electronic device. Furthermore, the memory 802 may also include both an internal storage unit of the computer electronic device and an external storage electronic device. The memory 802 is used to store application software and various types of data installed in the computer electronic device, such as program codes installed in the computer electronic device. The memory 802 can also be used to temporarily store data that has been output or is to be output. In one embodiment, the ultra-long shaft bearing monitoring program 803 can be executed by the processor 801, thereby realizing the ultra-long shaft bearing monitoring method, device, electronic device and storage electronic device of each embodiment of the present invention.

[0053] In some embodiments, the processor 801 may be a central processing unit (CPU), a microprocessor or other data processing chip, used to run program codes or process data stored in the memory 802, such as executing an extra-long shaft bearing monitoring program.

[0054] The above is a detailed introduction to the ultra-long shaft bearing monitoring method, device, electronic equipment and system provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for monitoring an ultra-long shaft bearing, wherein the bearing comprises multiple bearing segments of different types, characterized in that: The method comprises: Constructing a geometric model of each bearing segment, determining a first mapping relationship between displacement of each bearing segment and bending stress, a second mapping relationship between acceleration and bearing centrifugal force, and a third mapping relationship between lubricating oil physical parameters, bearing speed and shaft center position; Acquire real-time displacement data and real-time acceleration data of each bearing segment; determine the real-time bearing bending stress based on the first mapping relationship and the real-time displacement data, determine the real-time bearing centrifugal force based on the second mapping relationship and the real-time acceleration data, and determine the real-time support reaction force according to the bearing bending stress and the bearing centrifugal force; Obtaining lubricant physical property parameters and real-time bearing segment speed, and determining the axis position of each bearing segment based on the third mapping relationship, the lubricant physical property parameters and the real-time bearing segment speed; The bearing motion state is determined based on the support reaction force and axis position of each bearing segment.

2. The super-long shaft bearing monitoring method according to claim 1 is characterized in that: Construct a geometric model of each bearing segment, determine the first mapping relationship between the displacement of each bearing segment and the bending stress, the second mapping relationship between the acceleration and the centrifugal force of the bearing, and the third mapping relationship between the physical property parameters of the lubricating oil, the bearing speed and the axis position, including: The super-long shaft bearing is divided into sections with the intermediate bearing, stern bearing and bracket bearing as the boundaries, and the geometric model of each bearing section is constructed based on the finite element method; Based on the geometric model, displacement data of each bearing segment under different bending moments, bearing centrifugal force data under different accelerations, bearing speed data, lubricating oil physical property parameters and shaft center position data are obtained; Determine a first mapping relationship between the displacement of each bearing segment and the bending stress according to the displacement data and the corresponding bending moment; Determining a second mapping relationship between acceleration and bearing centrifugal force according to the bearing centrifugal force data and the corresponding acceleration; A third mapping relationship among the physical property parameters of the lubricating oil, the bearing speed data and the shaft center position data is determined according to the physical property parameters of the lubricating oil, the bearing speed data and the shaft center position data.

3. The super-long shaft bearing monitoring method according to claim 2 is characterized in that: Determining a first mapping relationship between the displacement of each bearing segment and the bending stress according to the displacement data and the corresponding bending moment thereof includes: Calculate the moment of inertia of the bearing segments based on the cross-sectional shape and size of each bearing segment; A first function mapping relationship is constructed according to the moment of inertia, the displacement data under different bending moments, and the bending moment corresponding to the displacement data, and a first mapping relationship between the displacement of each bearing segment and the bending stress is generated.

4. The super-long shaft bearing monitoring method according to claim 2 is characterized in that: Determining a second mapping relationship between acceleration and bearing centrifugal force according to the bearing centrifugal force data and the corresponding acceleration includes: constructing a second function mapping relationship among acceleration, centrifugal force and bearing segment weight; A second mapping relationship between acceleration and bearing centrifugal force is determined according to the bearing centrifugal force data under different accelerations.

5. The super-long shaft bearing monitoring method according to claim 2 is characterized in that: Determining a third mapping relationship between the physical property parameters of the lubricating oil, the bearing speed data and the shaft center position data according to the physical property parameters of the lubricating oil, the bearing speed data and the shaft center position data includes: Based on the fluid finite element method, according to the bearing speed data, lubricating oil physical property parameters and shaft center position data, the oil film pressure distribution data of each bearing segment under different lubricating oil physical property parameters, different bearing speeds and different shaft center positions are calculated; A third mapping relationship among the physical property parameters of the lubricating oil, the bearing rotation speed and the axis position is determined according to the oil film pressure distribution data.

6. The super-long shaft bearing monitoring method according to claim 1 is characterized in that: Determining the real-time support reaction force according to the bearing bending stress and the bearing centrifugal force includes: Obtain the real-time acceleration of the bearing and the overall mass of the bearing; Calculate the gravity of the shaft system according to the real-time acceleration of the bearing and the overall mass of the bearing; The support reaction force of the bearing is determined according to the bearing bending stress, the bearing centrifugal force and the shaft system gravity.

7. The super-long shaft bearing monitoring method according to claim 5 is characterized in that: The axis position of each bearing segment is determined based on the third mapping relationship, the physical property parameters of the lubricating oil and the real-time rotation speed of each bearing segment, including: Based on the third mapping relationship, calculating the dynamic viscosity of the lubricating oil according to the physical property parameters of the lubricating oil; The axis position is determined based on the bearing speed data and the dynamic viscosity of the lubricating oil.

8. An ultra-long shaft bearing monitoring device, characterized in that: include: A mapping relationship building module is used to build a geometric model of each bearing segment, determine a first mapping relationship between the displacement of each bearing segment and the bending stress, a second mapping relationship between the acceleration and the centrifugal force of the bearing, and a third mapping relationship between the physical property parameters of the lubricating oil, the bearing speed and the axis position; A support reaction force confirmation module is used to obtain real-time displacement data and real-time acceleration data of each bearing segment; determine the real-time bearing bending stress based on the first mapping relationship and the real-time displacement data, determine the real-time bearing centrifugal force based on the second mapping relationship and the real-time acceleration data, and determine the real-time support reaction force according to the bearing bending stress and the bearing centrifugal force; The axis center position confirmation module is used to obtain the physical property parameters of the lubricating oil and the real-time rotation speed of the bearing segments, and determine the axis center position of each bearing segment based on the third mapping relationship, the physical property parameters of the lubricating oil and the real-time rotation speed of each bearing segment; The motion state monitoring module is used to determine the bearing motion state according to the support reaction force and the axis position of each bearing segment.

9. An ultra-long shaft bearing monitoring device, characterized in that: It comprises a processor and a memory, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the steps of the super-long shaft bearing monitoring method as claimed in any one of claims 1 to 7 are implemented.

10. A temporary computer-readable storage medium, characterized in that: The storage medium stores computer program instructions, and when the computer program instructions are executed by a computer, the computer executes the super-long shaft bearing monitoring method according to any one of claims 1 to 7.

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