Method, processor and server for determining rotating mechanism parts

Abstract

The present invention relates to the technical field of engineering machinery, and discloses a method, a processor, and a server for determining the parts of a slewing mechanism. The method comprises: obtaining the historical operation data of the slewing mechanism corresponding to the original engineering equipment, the historical operation data including the slewing pressure and the use time of the slewing mechanism; determining the maximum slewing resistance torque of the slewing mechanism according to the maximum value of the slewing pressure; determining the use level of the slewing mechanism according to the use time; determining the load spectrum coefficient of the slewing mechanism according to the historical operation data; determining the working level of the slewing mechanism according to the use level and the load spectrum coefficient; determining the slewing mechanism parts of the new engineering equipment according to the maximum slewing resistance torque and the working level. The slewing mechanism parts of the new engineering equipment are determined according to the historical operation data of the original engineering equipment, so that the selection and design of the slewing mechanism are more in line with the actual market demand, and while ensuring safety and reliability, the surplus and safety margin will not be too large, saving costs.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering machinery, and in particular to a method, a processor and a server for determining parts of a slewing mechanism. Background Art

[0002] The slewing mechanism is a mechanism that enables the slewing part of a crane or other machinery to rotate around its rotation center line to achieve rotational motion; it cooperates with other mechanisms to complete the spatial transportation task or other work cycle of goods; it is composed of a drive device, a transmission device and a slewing bearing. The power of the drive device is transmitted to the large gear ring fixed on the frame through the output pinion of the transmission device, so that the turntable can rotate around its rotation center line. According to the different transmission methods, it is divided into mechanical transmission, electric transmission and hydraulic transmission. Understandably, taking engineering equipment such as cranes as an example, the slewing mechanism of the crane is mainly used to drive the rotation of the upper part of the crane. The slewing mechanism mainly includes slewing reducer, slewing bearing, slewing motor and hydraulic electrical control.

[0003] In the current process of designing or selecting the slewing mechanism parts of new engineering equipment, the working level of the slewing mechanism is mainly determined based on the experience of engineers, and then the maximum slewing resistance torque is calculated theoretically. The maximum slewing resistance torque is calculated according to the maximum lifting torque working condition, and the maximum influence of factors such as the working condition, the inclination angle of the whole machine, the wind load, and the inertia load are comprehensively considered. Then, the new engineering equipment is designed or selected according to the working level and the maximum slewing resistance torque. This leads to conservative design or selection of slewing mechanism parts, excessive surplus and safety margin, and high cost. Summary of the invention

[0004] In order to overcome the deficiencies in the prior art, an embodiment of the present invention provides a method, a processor, and a server for determining components of a rotary mechanism.

[0005] In order to achieve the above object, the present invention provides a method for determining the components of a rotary mechanism in a first aspect, comprising:

[0006] Obtain the historical operation data of the slewing mechanism corresponding to the original engineering equipment, including the slewing pressure and the use time of the slewing mechanism;

[0007] The maximum rotation resistance torque of the rotation mechanism is determined according to the maximum value of the rotation pressure;

[0008] Determine the use level of the slewing mechanism according to the use time;

[0009] Determine the load spectrum coefficient of the slewing mechanism based on historical operating data;

[0010] Determine the working level of the slewing mechanism according to the use level and load spectrum coefficient;

[0011] Determine the slewing mechanism components of new engineering equipment based on the maximum slewing resistance torque and working level.

[0012] In an embodiment of the present invention, determining the load spectrum coefficient of the slewing mechanism according to historical operation data includes:

[0013] Determine the rotation resistance torque based on the rotation pressure;

[0014] Grading the turning resistance torque to form a grade of turning resistance torque;

[0015] Determine the durations corresponding to the levels of the rotational resistance torque and the total duration, the total duration being the sum of the durations;

[0016] The load spectrum coefficient of the slewing mechanism is determined based on the total duration, the maximum slewing resistance torque, the level of each slewing resistance torque and each duration.

[0017] In the embodiment of the present invention, the load spectrum coefficient is determined according to formula (1):

[0018]

[0019] K m represents the load spectrum coefficient, t i Indicates the durations corresponding to the levels of the rotational resistance torque, t T Indicates the total duration, M i Indicates the level of each rotational resistance torque, P max Represents the maximum rotational resistance torque, and m is a constant.

[0020] In an embodiment of the present invention, determining the rotational resistance torque according to the rotational pressure includes formula (2):

[0021] M=K*P Formula (2)

[0022] M represents the rotation resistance torque, P represents the rotation pressure, K is a constant, and K is determined according to formula (3):

[0023]

[0024] V represents the motor displacement, i1 represents the speed ratio of the reducer, i2 represents the speed ratio of the large and small gears, η m represents the motor mechanical efficiency, η r represents the efficiency of the reducer, η1 represents the efficiency of the large and small gears, and n represents the number of reducers.

[0025] In an embodiment of the present invention, before determining the load spectrum coefficient of the slewing mechanism, the method further includes:

[0026] Calculate the proportion of each duration to the total duration;

[0027] The levels of the rotational resistance torques corresponding to the ratios lower than the first preset ratio in the removal ratios.

[0028] In the embodiment of the present invention, the use time of the rotary mechanism is determined according to the total operation time of the rotary mechanism;

[0029] The slewing mechanism operation is determined by at least one of the following conditions:

[0030] The rotary brake valve of the rotary mechanism is in an energized state, the rotary angular velocity of the rotary mechanism is greater than a first preset value, and the rotary pressure is greater than a second preset value.

[0031] In an embodiment of the present invention, determining the usage time of the slewing mechanism includes:

[0032] Determine the data return cycle of the original engineering equipment;

[0033] Calculate the first time difference between the time stamp of the subsequent operating point and the time stamp of the current operating point, the subsequent operating point and the current operating point are adjacent data return time points, and both the subsequent operating point and the current operating point are in the operation of the rotary mechanism;

[0034] When the first time difference is greater than the data return cycle, the second time difference between the time stamp of the current operating point and the time stamp of the previous operating point is calculated, the current operating point and the previous operating point are adjacent data return time points, and the previous operating point is the operation of the rotary mechanism;

[0035] When the second time difference is greater than the data feedback cycle, the operating time of the rotary mechanism at the current operating point is the product of the data feedback cycle and the second preset ratio;

[0036] When the second time difference is not greater than the data return cycle, the operating time of the rotary mechanism at the current operating point is the second time difference, and the use time is the sum of the operating time of the rotary mechanisms at all operating points.

[0037] A second aspect of the present invention provides a processor configured to execute the above method for determining components of a rotary mechanism.

[0038] A third aspect of the present invention provides a server, comprising the above-mentioned processor.

[0039] A fourth aspect of the present invention provides an Internet of Things platform, comprising the above-mentioned server.

[0040] Before determining the slewing mechanism parts of the new engineering equipment, the server will collect the historical operation data of the original engineering equipment similar to the new engineering equipment model. The historical operation data includes the slewing pressure and the use time of the slewing mechanism. The maximum slewing resistance torque of the slewing mechanism is determined according to the maximum slewing pressure, the use level of the slewing mechanism is determined according to the use time, the load spectrum coefficient of the slewing mechanism is determined according to the historical operation data, and the working level of the slewing mechanism is determined according to the use level and the load spectrum coefficient. Then, according to the maximum slewing resistance torque and the working level, the appropriate parts are determined in the candidate parts list and recommended to the engineer for selection or design. In this way, the slewing mechanism parts of the new engineering equipment are determined according to the historical operation data of the original engineering equipment, so that the selection and design of the slewing mechanism of the new engineering equipment are more in line with the actual market needs. While ensuring safety and reliability, the surplus and safety margin will not be too large, saving costs; the size and weight of the slewing mechanism parts are more in line with the actual market needs. At the same time, the selection or design method of the slewing mechanism of engineering equipment based on big data analysis and mining avoids the subjectivity of manual selection or design based on experience, making the selection or design of the slewing mechanism of the new engineering equipment more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0042] Figure 1 A flow chart of a method for determining components of a slewing mechanism according to an embodiment of the present invention is schematically shown;

[0043] Figure 2 A schematic diagram of the time of the current operating point according to an embodiment of the present invention is shown;

[0044] Figure 3 A schematic diagram showing the calculation of the running time of the slewing mechanism at the current operating point according to an embodiment of the present invention is shown;

[0045] Figure 4 The figure schematically shows the distribution ratio of the rotational resistance torque level according to an embodiment of the present invention. DETAILED DESCRIPTION

[0046] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0047] It should be noted that if the implementation methods of the present application involve directional indications (such as up, down, left, right, front, back...), such directional indications are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0048] In addition, if there are descriptions involving "first", "second", etc. in the implementation methods of this application, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or suggesting their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various implementation methods can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0049] Figure 1 The flowchart of the method for determining the components of a slewing mechanism according to an embodiment of the present invention is schematically shown. Figure 1 As shown, in one embodiment of the present invention, a method for determining the components of a rotary mechanism is provided, comprising the following steps:

[0050] Step 101, obtaining historical operation data of the rotary mechanism corresponding to the original engineering equipment, the historical operation data including the rotary pressure and the use time of the rotary mechanism;

[0051] Step 102, determining the maximum rotation resistance torque of the rotation mechanism according to the maximum value of the rotation pressure;

[0052] Step 103, determining the use level of the rotary mechanism according to the use time;

[0053] Step 104, determining the load spectrum coefficient of the slewing mechanism according to the historical operation data;

[0054] Step 105, determining the working level of the slewing mechanism according to the use level and the load spectrum coefficient;

[0055] Step 106, determining the slewing mechanism components of the new engineering equipment according to the maximum slewing resistance torque and the working level.

[0056] Before determining the slewing mechanism parts of the new engineering equipment, the server will collect the historical operation data of the original engineering equipment similar to the new engineering equipment model. The historical operation data includes the slewing pressure and the use time of the slewing mechanism. The maximum slewing resistance torque of the slewing mechanism is determined according to the maximum slewing pressure, the use level of the slewing mechanism is determined according to the use time, the load spectrum coefficient of the slewing mechanism is determined according to the historical operation data, and the working level of the slewing mechanism is determined according to the use level and the load spectrum coefficient. Then, according to the maximum slewing resistance torque and the working level, the appropriate parts are determined in the candidate parts list and recommended to the engineer for selection or design. In this way, the slewing mechanism parts of the new engineering equipment are determined according to the historical operation data of the original engineering equipment, so that the selection and design of the slewing mechanism of the new engineering equipment are more in line with the actual market needs. While ensuring safety and reliability, the surplus and safety margin will not be too large, saving costs; the size and weight of the slewing mechanism parts are more in line with the actual market needs. At the same time, the selection or design method of the slewing mechanism of engineering equipment based on big data analysis and mining avoids the subjectivity of manual selection or design based on experience, making the selection or design of the slewing mechanism of the new engineering equipment more accurate.

[0057] Exemplarily, the construction equipment may be a crane.

[0058] Before determining the rotary mechanism parts of the new engineering equipment, the server will collect the historical operation data of the original engineering equipment with similar models to the new engineering equipment. The rotary pressure sensor is installed in the rotary mechanism of the engineering equipment, and the rotary pressure sensor transmits the rotary pressure data back to the industrial Internet of Things platform in a timely manner at a certain frequency.

[0059] The following describes how to determine the rotational resistance torque.

[0060] In formula (2), M = K*P, M represents the rotation resistance torque, P represents the rotation pressure, and K is a constant. K is determined according to formula (3):

[0061]

[0062] V represents the motor displacement, i1 represents the speed ratio of the reducer, i2 represents the speed ratio of the large and small gears, η m represents the motor mechanical efficiency, η r represents the efficiency of the reducer, η1 represents the efficiency of the large and small gears, and n represents the number of reducers. m , η r , η1 and n are fixed parameters, so K is a constant. The rotary pressure is obtained by the rotary pressure sensor, and then the rotary resistance torque can be obtained. After removing the influence of noise and abnormal conditions, the maximum value of the rotary resistance torque can be determined as the maximum rotary resistance torque of the rotary mechanism.

[0063] The following describes how to determine the utilization level of the slewing mechanism.

[0064] The use level of the rotary mechanism is determined based on the total use time of the rotary mechanism. The total use time of the rotary mechanism can be understood as the total time the rotary mechanism is in operation. There are many ways to determine the operation of the rotary mechanism. In one embodiment, the operation of the rotary mechanism is determined by at least one of the following situations:

[0065] The rotary brake valve of the rotary mechanism is in an energized state, the rotary angular velocity of the rotary mechanism is greater than a first preset value, and the rotary pressure is greater than a second preset value.

[0066] More specifically, (1) judging whether the slewing mechanism is running or not is based on the on / off state of the slewing brake valve: when the slewing brake valve is powered on, the slewing mechanism is judged to be in a running state; when the slewing brake valve is powered off, the slewing mechanism is judged to be in a stationary state. In this way, the on / off state information of the slewing brake valve needs to be transmitted back to the industrial Internet of Things platform during the data collection stage.

[0067] (2) Determine whether the rotary mechanism is running based on the angular velocity of rotation: when the angular velocity of rotation is greater than a first preset value (for example, zero), the rotary mechanism is determined to be in operation; when the angular velocity of rotation is not greater than a first preset value (for example, zero), the rotary mechanism is determined to be in a stationary state. In this way, it is necessary to install a rotation angle sensor or an angular velocity sensor in the rotary mechanism during the data collection phase, and transmit data information such as the rotation angle or angular velocity back to the industrial Internet platform. If a rotation angle sensor is installed, the rotation angular velocity can be calculated by differential means in the on-board PLC (Programmable Logic Controller), and then the rotation angular velocity data can be transmitted back to the industrial Internet platform. If the industrial Internet platform only obtains the rotation angle, the rotation angular velocity can be calculated by differential means.

[0068] (3) Judging whether the rotary mechanism is running based on the value of the rotary pressure: when the rotary pressure is greater than a certain threshold (a second preset value), the rotary mechanism is judged to be in a running state; when the rotary pressure is less than or equal to the second preset value, the rotary mechanism is judged to be in a stationary state. Since it is possible to judge whether the rotary mechanism is running based on the value of the rotary pressure, the running time of the rotary mechanism can also be understood as the duration of the rotary pressure.

[0069] Whether the slewing mechanism is in operation is determined according to at least one of the three methods mentioned above, and then the usage time of the slewing mechanism is determined according to the total operation time of the slewing mechanism, and then the usage level of the slewing mechanism is determined.

[0070] In one embodiment, determining the usage time of the slewing mechanism includes:

[0071] Determine the data return cycle of the original engineering equipment;

[0072] Calculate the first time difference between the time stamp of the subsequent operating point and the time stamp of the current operating point, the subsequent operating point and the current operating point are adjacent data return time points, and both the subsequent operating point and the current operating point are in the operation of the rotary mechanism;

[0073] When the first time difference is greater than the data return cycle, the second time difference between the time stamp of the current operating point and the time stamp of the previous operating point is calculated, the current operating point and the previous operating point are adjacent data return time points, and the previous operating point is the operation of the rotary mechanism;

[0074] When the second time difference is greater than the data feedback cycle, the operating time of the rotary mechanism at the current operating point is the product of the data feedback cycle and the second preset ratio, and the second preset ratio may be 0.5;

[0075] When the second time difference is not greater than the data return cycle, the operating time of the rotary mechanism at the current operating point is the second time difference, and the use time is the sum of the operating time of the rotary mechanisms at all operating points. Figure 2 A schematic diagram of the time of the current operating point according to an embodiment of the present invention is shown, which can be seen in FIG. Figure 2 .

[0076] Under normal circumstances, the current operating point and the previous operating point are adjacent data feedback time points, and the time difference between the current operating point and the previous operating point is equal to the data feedback cycle of the engineering equipment, and the current operating point and the previous operating point are both in the operating state of the slewing mechanism, then the slewing mechanism operating time of the current operating point is equal to one data feedback cycle T.

[0077] Figure 3 The schematic diagram of calculating the running time of the slewing mechanism at the current working point according to an embodiment of the present invention is shown schematically. Figure 3 . When the first time difference is greater than the data return cycle, it can be considered that an abnormal situation has occurred. For example, the engineering equipment may be shut down or the slewing mechanism may be powered off between the current operating point and the subsequent operating point. Although the subsequent operating point and the current operating point are both operating points where the slewing mechanism is in operation, the operating time of the slewing mechanism cannot be considered as the first time difference. When the second time difference is also greater than the data return cycle, it can be considered that an abnormal situation has also occurred between the current operating point and the previous operating point. In this case, the current operating point can be recorded as an abnormal isolated point, and the operating time of the slewing mechanism at the current operating point can be calculated as the product of the data return cycle and the second preset ratio, for example 0.5T, where T represents the data return cycle.

[0078] When the first time difference is greater than the data return cycle, and the second time difference is not greater than the data return cycle, it means that an abnormal situation has occurred between the current operating point and the subsequent operating point, but the current operating point and the previous operating point are normal. At this time, the operating time of the rotating mechanism of the current operating point is the second time difference.

[0079] The data feedback cycle under different working conditions of different devices is different. For example, the data feedback frequency can be higher, for example, the data feedback cycle T is 1s; the data feedback frequency can also be lower, for example, the data feedback cycle T is 5min. Taking the data feedback cycle T as 5min as an example, assuming that the time difference between the time stamp of the current working point and the time stamp of the previous working point is 5min, and the current working point and the previous working point are both in the operating state of the slewing mechanism, then the operating time of the slewing mechanism at the current working point can be recorded as 5min. The usage time is the sum of the operating time of the slewing mechanism of all working points.

[0080] After the total use time of the rotary mechanism is determined, the use level is determined according to the total use time. Table 1 schematically shows a method for dividing the use levels in an embodiment, which can be referred to in Table 1.

[0081] Table 1

[0082] Use level <![CDATA[Total usage time t T (h)]]> <![CDATA[T0]]> <![CDATA[t T ≤200]]> <![CDATA[T1]]> <![CDATA[200<t T ≤400]]> <![CDATA[T2]]> <![CDATA[400<t T ≤800]]> <![CDATA[T3]]> <![CDATA[800<t T ≤1600]]> <![CDATA[T4]]> <![CDATA[1600<t T ≤3200]]> <![CDATA[T5]]> <![CDATA[3200<t T ≤6300]]> <![CDATA[T6]]> <![CDATA[6300<t T ≤12500]]> <![CDATA[T7]]> <![CDATA[12500<t T ≤25000]]> <![CDATA[T8]]> <![CDATA[25000<t T ≤50000]]> <![CDATA[T9]]> <![CDATA[50000<t T ]]>

[0083] The following describes how to determine the load spectrum coefficient of the slewing mechanism.

[0084] After the rotary pressure data is obtained by the rotary pressure sensor, the rotary pressure P is first discretized. Specifically, the influence of noise and abnormal conditions is removed, and the maximum value Pm of the rotary pressure is first determined. The granularity of the rotary pressure discretization ΔP=Pm / n, where n is the number of discretization levels.

[0085] For example, assuming that the maximum swing resistance torque of a crane model is calculated to be 300000 Nm, K calculated in formula (3) is 10000, and the maximum swing pressure Pm is 30 MPa. If the number of discrete levels n is 100, then ΔP is 0.3. Table 2 schematically shows the division method of the swing pressure level in one embodiment, which can be seen in Table 2.

[0086] Table 2

[0087] Swing pressure range [0,0.3] (0.3,0.6] … (29.7,30] Rotation pressure level 0.3 0.6 … 30 symbol <![CDATA[P1]]> <![CDATA[P2]]> … <![CDATA[P 30 ]]>

[0088] In Table 2, when the range of the rotary pressure is between 0 and 0.3 MPa, the rotary pressure level is recorded as 0.3 MPa. When the range of the rotary pressure is between 0.3 and 0.6 MPa, the rotary pressure level is recorded as 0.6 MPa. When the range of the rotary pressure is between 29.7 and 30 MPa, the rotary pressure level is recorded as 30 MPa. In this way, the rotary pressure P is discretized.

[0089] The duration corresponding to each rotary pressure level can also be calculated. For example, the duration when the rotary mechanism is in operation and the rotary pressure ranges from 0.3 to 0.6 MPa is the duration corresponding to the rotary pressure level P2. By determining the duration corresponding to each rotary pressure level, the duration corresponding to each rotary resistance torque level is also determined. The total duration is the sum of the durations, and the total duration can be understood as the total use time of the rotary mechanism.

[0090] In formula (2), M=K*P, where M represents the rotational resistance torque, P represents the rotational pressure, and K is a constant. After the rotational pressure level is determined, the level of the rotational resistance torque is determined accordingly. In one embodiment, the durations corresponding to the levels of the rotational resistance torques and the total duration are determined, and the total duration is the sum of the durations; the load spectrum coefficient of the rotation mechanism is determined based on the total duration, the maximum rotational resistance torque, the levels of the rotational resistance torques, and the durations. Table 3 schematically shows the distribution ratio of the rotational resistance torque levels in one embodiment, see Table 3.

[0091] Table 3

[0092]

[0093] The distribution percentages of different rotational resistance torque levels can be presented in a table or in a distribution diagram. Figure 4 Schematically shows the distribution ratio of the rotational resistance torque level according to an embodiment of the present invention, which can be seen in Figure 4 .from Figure 4It can also be seen that the theoretical design value of the new engineering equipment is greater than the actual maximum slewing resistance torque of the original engineering equipment. If the maximum slewing resistance torque is calculated theoretically, there is no unified standard for the design of the crane slewing system, and the slewing resistance torque cannot be accurately calculated, and the actual specific value of the maximum slewing resistance torque cannot be determined by in-factory testing. In addition, in the theoretical calculation of the maximum slewing resistance torque, the maximum slewing resistance torque is calculated according to the maximum lifting torque condition, and the maximum influence of factors such as the operating condition, the inclination angle of the whole machine, the wind load, and the inertia load are comprehensively considered. This will cause the slewing mechanism to have too much surplus and safety margin when designing or selecting, resulting in a waste of cost. Therefore, in the embodiment of the present invention, the selection and design of the slewing mechanism of the new engineering equipment are more in line with the actual market needs. While ensuring safety and reliability, the surplus and safety margin will not be too large, saving costs.

[0094] In one embodiment, the load spectrum coefficient is determined according to formula (1):

[0095]

[0096] Among them, K m represents the load spectrum coefficient, t i Indicates the durations corresponding to the levels of the rotational resistance torque, t T Indicates the total duration, M i Indicates the level of each rotational resistance torque, P max Represents the maximum rotational resistance torque, m is a constant, for example, m can be 3.

[0097] After the use level and the load spectrum coefficient are determined, the working level of the slewing mechanism can be determined according to the use level and the load spectrum coefficient. Table 4 schematically shows a method for determining the working level in one embodiment, and can be referred to in Table 4. From T0, T1, T2, T3, T4, T5, T6, T7, T8 to T9, the higher the use level, the longer the corresponding total use time t T The longer the slewing mechanism, the higher the working level. The working level of the slewing mechanism is represented by Q, from Q1, Q2, Q3, Q4, Q5, Q6, Q7 to Q8, indicating that the working level of the slewing mechanism gradually increases. In Table 4, K m Represents the load spectrum coefficient.

[0098] Table 4

[0099]

[0100]

[0101] In this way, the maximum slewing resistance torque and the working level are determined, and then the slewing mechanism parts of the new engineering equipment are determined according to the maximum slewing resistance torque and the working level. In an embodiment of the present invention, before determining the slewing mechanism parts of the new engineering equipment, the server collects the historical operation data of the original engineering equipment similar to the new engineering equipment model, and then calculates the maximum slewing resistance torque and the working level according to the historical operation data of the original engineering equipment, and then determines the appropriate parts in the candidate parts list according to the maximum slewing resistance torque and the working level, and recommends them to the engineer for selection or design. In this way, the slewing mechanism parts of the new engineering equipment are determined according to the historical operation data of the original engineering equipment, so that the selection and design of the slewing mechanism of the new engineering equipment are more in line with the actual market demand, while ensuring safety and reliability, the surplus and safety margin will not be too large, saving costs; the size and weight of the slewing mechanism parts are more in line with the actual market demand. At the same time, the selection or design method of the slewing mechanism of engineering equipment based on big data analysis and mining avoids the subjectivity of manual selection or design based on experience, so that the selection or design of the slewing mechanism of the new engineering equipment is more accurate.

[0102] For ease of understanding, illustratively, in terms of cost control, before determining the slewing mechanism parts of the new engineering equipment, for the original engineering equipment of similar models to the new engineering equipment, if the maximum slewing resistance torque of the original engineering equipment is small and the working level is low, then the slewing mechanism parts of the new engineering equipment can be selected to be relatively cheap, so as to avoid excessive surplus and safety margins and avoid cost waste. If the maximum slewing resistance torque of the original engineering equipment is large and the working level is high, then the slewing mechanism parts of the new engineering equipment can be selected to be relatively expensive, so as to ensure safety, reliability and practicality.

[0103] Taking the slewing mechanism parts including the slewing reducer as an example, if the selection or design of new engineering equipment is conservative, the surplus and safety margins are too large, which will lead to the size and weight of the slewing reducer being too large. By applying the method for determining the slewing mechanism parts in the embodiment of the present invention, the size and weight of the slewing mechanism parts are more in line with the actual market demand. While ensuring safety, reliability and practicality, the slewing reducer and other parts can be made smaller, saving costs.

[0104] In one embodiment, before determining the load spectrum coefficient of the slewing mechanism, the method further includes:

[0105] Calculate the proportion of each duration to the total duration;

[0106] The levels of the rotational resistance torques corresponding to the ratios lower than the first preset ratio in the removal ratios.

[0107] The above embodiment is to remove the influence of noise and abnormal conditions. When the duration corresponding to a certain level of rotational resistance torque is too short, it can be considered that the level of the rotational resistance torque may be noise or abnormal conditions and needs to be removed. It should be noted that for the accuracy of the data, the maximum rotational resistance torque is determined after the abnormal level of the rotational resistance torque is removed.

[0108] Taking engineering equipment as an example, when the industrial Internet platform has accumulated data for a certain period of time, the following calculations and analyses can be performed: (1) Determine the data set of a specific vehicle model: the number of cranes corresponding to the data sent back by this vehicle model; the time range for collecting data for each vehicle; (2) Analyze each working condition data in turn; (3) Determine whether the slewing mechanism is operating; (4) Discretize the slewing pressure and determine the slewing pressure level corresponding to this working condition; (5) Calculate the duration of this slewing pressure; (6) Calculate the cumulative duration of the slewing pressure level; (7) Calculate (8) Calculate the average annual duration of each swing pressure level for each vehicle of each model; (9) Calculate the maximum value of the swing pressure; (10) Calculate the average annual total usage time of the swing mechanism of each vehicle of each model; (11) Based on the input crane life cycle (for example, ten years), calculate the total usage time of the swing mechanism of this model; (12) Calculate the load spectrum coefficient of the swing mechanism of this model; (13) Calculate the usage level of the swing mechanism of this model; (14) Calculate the working level of the swing mechanism of this model.

[0109] In the embodiment of the present invention, based on the big data analysis and mining technology, by analyzing the actual use conditions, working hours, and swing pressure of the swing mechanism and other multi-dimensional data, the reasonable swing resistance torque requirement value of the vehicle model is mined, thereby providing a precise selection basis for product development and design, and the swing mechanism can be designed more accurately. The Internet of Things platform can determine more suitable parts in the candidate parts list and recommend them to engineers for reference.

[0110] In the embodiment of the present invention, the crane slewing mechanism selection and matching method based on big data analysis and mining can more accurately determine the actual resistance torque value required by the slewing mechanism, providing a scientific basis for the design of the slewing mechanism. In the embodiment of the present invention, the actual market demand is obtained based on the big data analysis and mining method, and the maximum slewing resistance torque and the working level of the slewing mechanism are determined. The slewing mechanism designed based on the actual market demand will have a smaller design margin and save costs.

[0111] An embodiment of the present invention provides a processor, which is configured to execute any one of the methods for determining the components of a rotary mechanism in the above embodiments.

[0112] Specifically, the processor may be configured to:

[0113] Obtain the historical operation data of the slewing mechanism corresponding to the original engineering equipment, including the slewing pressure and the use time of the slewing mechanism;

[0114] The maximum rotation resistance torque of the rotation mechanism is determined according to the maximum value of the rotation pressure;

[0115] Determine the use level of the slewing mechanism according to the use time;

[0116] Determine the load spectrum coefficient of the slewing mechanism based on historical operating data;

[0117] Determine the working level of the slewing mechanism according to the use level and load spectrum coefficient;

[0118] Determine the slewing mechanism components of new engineering equipment based on the maximum slewing resistance torque and working level.

[0119] In an embodiment of the present invention, the processor is configured to:

[0120] The load spectrum coefficients of the slewing mechanism determined based on historical operating data include:

[0121] Determine the rotation resistance torque based on the rotation pressure;

[0122] Grading the turning resistance torque to form a grade of turning resistance torque;

[0123] Determine the durations corresponding to the levels of the rotational resistance torque and the total duration, the total duration being the sum of the durations;

[0124] The load spectrum coefficient of the slewing mechanism is determined based on the total duration, the maximum slewing resistance torque, the level of each slewing resistance torque and each duration.

[0125] In an embodiment of the present invention, the processor is configured to:

[0126] Determine the load spectrum coefficient according to formula (1):

[0127]

[0128] K m represents the load spectrum coefficient, t i Indicates the durations corresponding to the levels of the rotational resistance torque, t T Indicates the total duration, M i Indicates the level of each rotational resistance torque, P max Represents the maximum rotational resistance torque, and m is a constant.

[0129] In an embodiment of the present invention, the processor is configured to:

[0130] The rotation resistance torque is determined according to the rotation pressure, including formula (2):

[0131] M=K*P Formula (2)

[0132] M represents the rotation resistance torque, P represents the rotation pressure, K is a constant, and K is determined according to formula (3):

[0133]

[0134] V represents the motor displacement, i1 represents the speed ratio of the reducer, i2 represents the speed ratio of the large and small gears, η m represents the motor mechanical efficiency, η r represents the efficiency of the reducer, η1 represents the efficiency of the large and small gears, and n represents the number of reducers.

[0135] In an embodiment of the present invention, the processor is configured to:

[0136] Before determining the load spectrum coefficient of the slewing mechanism, the method further includes:

[0137] Calculate the proportion of each duration to the total duration;

[0138] The levels of the rotational resistance torques corresponding to the ratios lower than the first preset ratio in the removal ratios.

[0139] In an embodiment of the present invention, the processor is configured to:

[0140] Determine the usage time of the slewing mechanism according to the total operation time of the slewing mechanism;

[0141] The slewing mechanism operation is determined by at least one of the following conditions:

[0142] The rotary brake valve of the rotary mechanism is in an energized state, the rotary angular velocity of the rotary mechanism is greater than a first preset value, and the rotary pressure is greater than a second preset value.

[0143] In an embodiment of the present invention, the processor is configured to:

[0144] Determine the use time of the slewing mechanism including:

[0145] Determine the data return cycle of the original engineering equipment;

[0146] Calculate the first time difference between the time stamp of the subsequent operating point and the time stamp of the current operating point, the subsequent operating point and the current operating point are adjacent data return time points, and both the subsequent operating point and the current operating point are in the operation of the rotary mechanism;

[0147] When the first time difference is greater than the data return cycle, the second time difference between the time stamp of the current operating point and the time stamp of the previous operating point is calculated, the current operating point and the previous operating point are adjacent data return time points, and the previous operating point is the operation of the rotary mechanism;

[0148] When the second time difference is greater than the data feedback cycle, the operating time of the rotary mechanism at the current operating point is the product of the data feedback cycle and the second preset ratio;

[0149] When the second time difference is not greater than the data return cycle, the operating time of the rotary mechanism at the current operating point is the second time difference, and the use time is the sum of the operating time of the rotary mechanisms at all operating points.

[0150] An embodiment of the present invention provides a server, including the above-mentioned processor.

[0151] An embodiment of the present invention provides an Internet of Things platform, including the above-mentioned server.

[0152] An embodiment of the present invention provides a machine-readable storage medium, on which instructions are stored, and the instructions are used to enable a machine to execute the above-mentioned control method for an engineering equipment boom.

[0153] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0154] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0155] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0156] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0157] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0158] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0159] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0160] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity 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, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0161] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for determining components of a rotary mechanism, characterized in that: include: Acquire historical operation data of the rotary mechanism corresponding to the original engineering equipment, wherein the historical operation data includes the rotary pressure and the use time of the rotary mechanism; The maximum rotational resistance torque of the rotation mechanism is determined according to the maximum value of the rotational pressure, wherein determining the rotational resistance torque according to the rotational pressure comprises formula (2): M=K*P Formula (2) Wherein, M represents the rotation resistance torque, P represents the rotation pressure, K is a constant, and K is determined according to formula (3): Where V represents the motor displacement, i1 represents the speed ratio of the reducer, i2 represents the speed ratio of the large and small gears, and η m represents the motor mechanical efficiency, η r represents the efficiency of the reducer, η1 represents the efficiency of the large and small gears, and n represents the number of reducers; determining the usage level of the rotary mechanism according to the usage time; Determining a load spectrum coefficient of the slewing mechanism according to the historical operation data; Determining the working level of the slewing mechanism according to the usage level and the load spectrum coefficient; The slewing mechanism components of the new engineering equipment are determined according to the maximum slewing resistance torque and the working level.

2. The method according to claim 1, characterized in that Determining the load spectrum coefficient of the slewing mechanism according to the historical operation data includes: determining a rotational resistance torque according to the rotational pressure; grading the rotational resistance torque to form a grade of rotational resistance torque; Determine each duration corresponding to each level of the rotational resistance torque and a total duration, wherein the total duration is the sum of the each duration; A load spectrum coefficient of the slewing mechanism is determined according to the total duration, the maximum slewing resistance torque, the levels of the respective slewing resistance torques, and the respective durations.

3. The method according to claim 2, characterized in that The load spectrum coefficient is determined according to formula (1): Among them, K m represents the load spectrum coefficient, t i represents the durations corresponding to the levels of the rotational resistance torque, t T represents the total duration, M i Indicates the level of each rotational resistance torque, M max represents the maximum rotational resistance torque, and m is a constant.

4. The method according to claim 2, characterized in that: Before determining the load spectrum coefficient of the slewing mechanism, the method further includes: Calculate the proportion of each duration to the total duration; The levels of the rotational resistance torque corresponding to the ratios lower than the first preset ratio among the ratios are removed.

5. The method according to claim 1, characterized in that Determining the usage time of the rotary mechanism according to the total operation time of the rotary mechanism; The operation of the slewing mechanism is determined by at least one of the following conditions: The rotary brake valve of the rotary mechanism is in an energized state, the rotary angular velocity of the rotary mechanism is greater than a first preset value, and the rotary pressure is greater than a second preset value.

6. The method according to claim 5, characterized in that Determining the use time of the slewing mechanism comprises: Determine the data return cycle of the original engineering equipment; Calculating a first time difference between a time stamp of a subsequent operating point and a time stamp of a current operating point, wherein the subsequent operating point and the current operating point are adjacent data return time points, and both the subsequent operating point and the current operating point are operating the rotary mechanism; When the first time difference is greater than the data return period, a second time difference between the time stamp of the current operating point and the time stamp of the previous operating point is calculated, wherein the current operating point and the previous operating point are adjacent data return time points, and the previous operating point is the operation of the rotary mechanism; When the second time difference is greater than the data feedback cycle, the operating time of the rotary mechanism at the current operating point is the product of the data feedback cycle and the second preset ratio; When the second time difference is not greater than the data feedback period, the operating time of the rotary mechanism at the current operating point is the second time difference, and the usage time is the sum of the operating time of the rotary mechanism at all operating points.

7. A processor, characterized in that: The method is configured to execute the method for determining the components of a slewing mechanism according to any one of claims 1 to 6.

8. A server, characterized in that: Comprising a processor according to claim 7.

9. An Internet of Things platform, characterized in that: Comprising a server according to claim 8.

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