Jitter Frequency Analysis and Management System for Platform Jitter Mechanism

Abstract

This invention relates to the field of platform vibration mechanisms, specifically to a vibration frequency analysis and management system for platform vibration mechanisms. It addresses the problems of low monitoring accuracy and slow response speed often found in existing vibration frequency analysis and management systems, which affect the operational stability and safety of platform vibration mechanisms. The system includes a vibration frequency acquisition module, a vibration frequency analysis module, an analysis and management platform, an anomaly alarm module, a drive equipment monitoring module, and a drive equipment analysis module. This system can detect and analyze the vibration frequency of the vibration mechanism in real time, achieving accurate analysis and effective control of the vibration frequency of the platform vibration mechanism. This is of great significance for improving the working performance of the platform vibration mechanism. Furthermore, by monitoring the operating data of the vibrating motor, which plays a crucial role, in real time and analyzing the data, it can promptly detect and handle abnormal states of the vibrating motor, thereby improving the operational stability and safety of the platform vibration mechanism.

Description

Technical Field

[0001] This invention relates to the field of platform jitter mechanisms, and more specifically to a jitter frequency analysis and management system for platform jitter mechanisms. Background Technology

[0002] With the continuous development of technology, platform vibration mechanisms are widely used in various fields, mainly to simulate vibration conditions in real-world environments or to provide specific vibration effects. Various mechanical equipment, especially platform vibration mechanisms requiring high precision operation, have increasingly stringent requirements for vibration control. However, existing vibration frequency analysis and management systems often suffer from low monitoring accuracy and slow response speed, failing to detect and alarm in a timely manner when abnormalities occur in the platform vibration mechanism. This results in the platform vibration mechanism's performance not being fully utilized, affecting its operational stability and safety. Therefore, developing a vibration frequency analysis and management system for platform vibration mechanisms is of great significance for improving their working performance. Summary of the Invention

[0003] To overcome the aforementioned technical problems, the present invention aims to provide a vibration frequency analysis and management system for a platform vibration mechanism. This system acquires vibration frequency monitoring parameters of the platform vibration mechanism through a vibration frequency acquisition module, obtains a frequency deviation coefficient based on these parameters through a vibration frequency analysis module, generates a frequency deviation command based on the frequency deviation coefficient through an analysis and management platform, and activates a deviation indicator light on the platform vibration mechanism upon receiving the frequency deviation command through an anomaly alarm module. Furthermore, upon receiving the frequency deviation command, the drive equipment monitoring module acquires drive equipment monitoring parameters of the vibration motor, obtains a drive equipment deviation coefficient based on these parameters through a drive equipment analysis module, generates a device deviation command based on the deviation coefficient through an analysis and management platform, and activates an alarm bell on the platform vibration mechanism upon receiving the device deviation command through an anomaly alarm module. This solution addresses the problems of existing vibration frequency analysis and management systems, which often suffer from low monitoring accuracy, slow response speed, and inability to promptly detect and alarm when abnormalities occur in the platform vibration mechanism, leading to insufficient performance of the platform vibration mechanism and affecting its operational stability and safety.

[0004] The objective of this invention can be achieved through the following technical solutions:

[0005] A jitter frequency analysis and management system for platform jitter mechanisms includes:

[0006] The jitter frequency acquisition module is used to acquire the jitter frequency monitoring parameters of the platform's jitter mechanism and send the jitter frequency monitoring parameters to the jitter frequency analysis module; among them, the jitter frequency monitoring parameters include the extreme frequency difference, the pre-frequency difference, and the frequency influence value;

[0007] The jitter frequency analysis module is used to obtain the frequency deviation coefficient based on the jitter frequency monitoring parameters and send the frequency deviation coefficient to the analysis management platform;

[0008] The specific process by which the jitter frequency analysis module obtains the frequency deviation coefficient is as follows:

[0009] The polar frequency difference, pre-frequency difference, and frequency influence value are dimensionless, and their numerical values ​​are extracted. These values ​​are then substituted into the formula for calculation. The frequency deviation coefficient is obtained and denoted as PP. ζ1, ζ2 and ζ3 are the preset weighting factors corresponding to the extreme frequency difference, pre-frequency difference and frequency influence value, respectively. ζ1, ζ2 and ζ3 satisfy ζ1>ζ2>ζ3>1.227. We take ζ1=2.06, ζ2=1.78 and ζ3=1.43.

[0010] Send the frequency deviation coefficient to the analysis and management platform;

[0011] The analysis and management platform is used to generate frequency deviation instructions based on the frequency deviation coefficient and send the frequency deviation instructions to the anomaly alarm module.

[0012] The abnormal alarm module is used to control the deviation indicator light on the jitter mechanism of the control platform to light up after receiving a frequency deviation command.

[0013] As a further aspect of the present invention, the specific process by which the jitter frequency acquisition module obtains the jitter frequency monitoring parameters is as follows:

[0014] Obtain the jitter frequency of the platform jitter mechanism per unit time, obtain the difference between the maximum jitter frequency and the minimum jitter frequency, and mark it as the extreme frequency difference, denoted as JP;

[0015] Obtain the average frequency of the platform's jitter mechanism per unit time and mark it as the average frequency value. Obtain the preset jitter frequency parameter and mark it as the pre-frequency value. Obtain the difference between the average frequency value and the pre-frequency value and mark it as the pre-frequency difference value, denoted as YP.

[0016] Obtain the average amplitude of the platform's jitter mechanism per unit time under the same jitter frequency condition, and mark it as the average amplitude value. Obtain the preset jitter amplitude parameter and mark it as the pre-amplitude value. Obtain the difference between the average amplitude value and the pre-amplitude value and mark it as the pre-amplitude difference value, denoted as YF. Obtain the jitter waveform image within a preset period. Obtain the difference between the area of ​​the jitter waveform image on the upper side of the X-axis and the area of ​​the jitter waveform image on the lower side of the X-axis and mark it as the area difference value, denoted as MJ. Perform dimensionless processing on the pre-amplitude difference value and the area difference value, extract the numerical values ​​of the pre-amplitude difference value and area difference value, and substitute them into the formula for calculation. The frequency influence value is obtained and denoted as YX, where x1 and x2 are the preset proportional coefficients corresponding to the preamplitude difference and area difference, respectively. x1 and x2 satisfy x1+x2=1, 0<x1<x2<1, and we take x1=0.39 and x2=0.61.

[0017] The extreme frequency difference, pre-frequency difference, and frequency impact value are sent to the jitter frequency analysis module.

[0018] As a further aspect of the present invention, the specific process by which the analysis and management platform generates frequency deviation instructions is as follows:

[0019] The frequency deviation coefficient is compared with the preset frequency deviation threshold. If the frequency deviation coefficient is greater than the frequency deviation threshold, a frequency deviation command is generated and sent to the abnormal alarm module and the drive device monitoring module.

[0020] As a further aspect of the present invention: the jitter frequency analysis and management system for the platform jitter mechanism further includes:

[0021] The drive equipment monitoring module is used to obtain the drive equipment monitoring parameters of the vibration motor after receiving the frequency deviation command, and send the drive equipment monitoring parameters to the drive equipment analysis module; the drive equipment monitoring parameters include noise information, temperature information and current information.

[0022] As a further aspect of the present invention, the specific process by which the drive device monitoring module acquires drive device monitoring parameters is as follows:

[0023] Upon receiving a frequency deviation command, the noise intensity of the vibratory motor per unit time is obtained. The difference between the maximum and minimum noise intensity is recorded as the extreme noise difference, denoted as JZ. The difference between the average noise intensity and the average noise intensity during the first use of the vibratory motor is recorded as the initial noise difference, denoted as CZ. The extreme and initial noise differences are then dimensionless, and their numerical values ​​are extracted and substituted into the formula for calculation. The noise information is obtained and denoted as ZY, where z1 and z2 are the preset proportional coefficients corresponding to the extreme noise difference and the initial noise difference, respectively. z1 and z2 satisfy z1+z2=1, 0<z1<z2<1, and z1=0.34 and z2=0.66 are taken.

[0024] Obtain the difference between the temperature before starting the vibratory motor and the current temperature, and label it as the starting temperature difference, denoted as QW. Obtain the time difference between the starting time of the vibratory motor and the current time, and label it as the starting duration. Obtain the difference between the temperature during the same starting duration of the vibratory motor's first use and the current temperature, and label it as the time temperature difference, denoted as SW. Dimensionlessly process the starting temperature difference and time temperature difference, extract their numerical values, and substitute them into the formula for calculation. The temperature information is obtained and denoted as WD, where w1 and w2 are the preset proportional coefficients corresponding to the start temperature difference and the time temperature difference, respectively. w1 and w2 satisfy w1+w2=1, 0<w2<w1<1, and we take w1=0.55 and w2=0.45.

[0025] The difference between the current of the vibratory motor at the current moment and the preset standard current is obtained and marked as current information, denoted as DL;

[0026] Noise, temperature, and current information are sent to the drive device analysis module.

[0027] As a further aspect of the present invention: the jitter frequency analysis and management system for the platform jitter mechanism further includes:

[0028] The drive equipment analysis module is used to obtain the equipment deviation coefficient based on the drive equipment monitoring parameters and send the equipment deviation coefficient to the analysis management platform.

[0029] As a further aspect of the present invention, the specific process by which the drive device analysis module obtains the device deviation coefficient is as follows:

[0030] The noise, temperature, and current information are dimensionless, and their numerical values ​​are extracted. These values ​​are then substituted into the formula for calculation. The equipment deviation coefficient is obtained and denoted as SP, where κ1, κ2 and κ3 are the preset weighting factors corresponding to noise information, temperature information and current information, respectively. κ1, κ2 and κ3 satisfy κ2>κ1>κ3>2.557, and we take κ1=3.13, κ2=3.77 and κ3=2.82.

[0031] Send the equipment deviation coefficient to the analysis and management platform.

[0032] As a further aspect of the present invention: the analysis and management platform is also used to generate a device deviation instruction based on the device deviation coefficient, and send the device deviation instruction to the abnormal alarm module.

[0033] As a further aspect of the present invention, the specific process by which the analysis and management platform generates device deviation instructions is as follows:

[0034] The device deviation coefficient is compared with the preset device deviation threshold. If the device deviation coefficient is greater than the device deviation threshold, a device deviation command is generated and sent to the abnormal alarm module.

[0035] As a further aspect of the present invention, the abnormal alarm module is also used to control the alarm bell on the shaking mechanism of the control platform to ring after receiving the device deviation command.

[0036] The beneficial effects of this invention are:

[0037] The present invention relates to a vibration frequency analysis and management system for a platform vibration mechanism. This system first collects data on the vibration frequency of the platform vibration mechanism to obtain vibration frequency monitoring parameters. Based on the frequency deviation coefficient obtained from the vibration frequency monitoring parameters, the degree of vibration frequency deviation of the platform vibration mechanism can be comprehensively measured; a larger frequency deviation coefficient indicates a higher degree of deviation. Then, when the deviation is too high, further monitoring is performed by collecting data on the vibration motor to obtain drive equipment monitoring parameters. Based on the equipment deviation coefficient obtained from the drive equipment monitoring parameters, the degree of abnormality of the vibration motor can be comprehensively measured; a larger equipment deviation coefficient indicates a higher degree of abnormality. Finally, an abnormality alert is issued.

[0038] The vibration frequency analysis and management system for platform vibration mechanisms provided by this invention can detect and analyze the vibration frequency of the vibration mechanism in real time, realizing accurate analysis and effective control of the vibration frequency of the platform vibration mechanism. It can achieve a stable vibration environment, which is of great significance for improving the working performance of the platform vibration mechanism. It can also monitor the operating data of the vibration motor, which plays an important role, in real time, and analyze and judge through multi-faceted data collection, so as to promptly detect and deal with abnormal states of the vibration motor, thereby improving the operational stability and safety of the platform vibration mechanism. Attached Figure Description

[0039] The invention will now be further described with reference to the accompanying drawings.

[0040] Figure 1 This is a schematic diagram of the jitter frequency analysis and management system for the platform jitter mechanism in this invention;

[0041] Figure 2 This is a flowchart of the working method of the jitter frequency analysis and management system for the platform jitter mechanism in this invention. Detailed Implementation

[0042] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0043] Example 1:

[0044] Please see Figure 1 As shown, this embodiment is a jitter frequency analysis and management system for a platform jitter mechanism, including the following modules: jitter frequency acquisition module, jitter frequency analysis module, analysis management platform, anomaly alarm module, drive equipment monitoring module, and drive equipment analysis module;

[0045] The jitter frequency acquisition module is used to acquire the jitter frequency monitoring parameters of the platform jitter mechanism and send the jitter frequency monitoring parameters to the jitter frequency analysis module; wherein, the jitter frequency monitoring parameters include extreme frequency difference, pre-frequency difference and frequency influence value;

[0046] The jitter frequency analysis module is used to obtain the frequency deviation coefficient based on the jitter frequency monitoring parameters and send the frequency deviation coefficient to the analysis management platform.

[0047] The analysis and management platform is used to generate frequency deviation instructions based on the frequency deviation coefficient and send the frequency deviation instructions to the anomaly alarm module and the drive equipment monitoring module; it is also used to generate equipment deviation instructions based on the equipment deviation coefficient and send the equipment deviation instructions to the anomaly alarm module.

[0048] The abnormal alarm module is used to control the deviation indicator light on the platform jitter mechanism to light up after receiving a frequency deviation command; it is also used to control the alarm bell on the platform jitter mechanism to sound after receiving a device deviation command.

[0049] The drive device monitoring module is used to obtain the drive device monitoring parameters of the vibration motor after receiving the frequency deviation command, and send the drive device monitoring parameters to the drive device analysis module; wherein, the drive device monitoring parameters include noise information, temperature information and current information;

[0050] The drive equipment analysis module is used to obtain the equipment deviation coefficient based on the drive equipment monitoring parameters and send the equipment deviation coefficient to the analysis management platform.

[0051] Example 2:

[0052] Please see Figure 2 As shown, this embodiment describes the working method of a jitter frequency analysis and management system for a platform jitter mechanism, including the following steps:

[0053] Step S1: The jitter frequency acquisition module acquires the jitter frequency monitoring parameters of the platform jitter mechanism, including the extreme frequency difference, pre-frequency difference, and frequency influence value, and sends the jitter frequency monitoring parameters to the jitter frequency analysis module.

[0054] Step S2: The jitter frequency analysis module obtains the frequency deviation coefficient based on the jitter frequency monitoring parameters and sends the frequency deviation coefficient to the analysis management platform;

[0055] Step S3: The analysis and management platform generates a frequency deviation command based on the frequency deviation coefficient and sends the frequency deviation command to the anomaly alarm module and the drive device monitoring module;

[0056] Step S4: After receiving the frequency deviation command, the abnormal alarm module controls the deviation indicator light on the jitter mechanism of the control platform to light up;

[0057] Step S5: After receiving the frequency deviation command, the drive equipment monitoring module obtains the drive equipment monitoring parameters of the vibration motor, including noise information, temperature information and current information, and sends the drive equipment monitoring parameters to the drive equipment analysis module.

[0058] Step S6: The drive equipment analysis module obtains the equipment deviation coefficient based on the drive equipment monitoring parameters and sends the equipment deviation coefficient to the analysis management platform;

[0059] Step S7: The analysis and management platform generates a device deviation instruction based on the device deviation coefficient and sends the device deviation instruction to the anomaly alarm module;

[0060] Step S8: After the abnormal alarm module receives the equipment deviation command, the alarm bell on the shaking mechanism of the control platform sounds.

[0061] Example 3:

[0062] Based on any of the above embodiments, Embodiment 3 of the present invention is a jitter frequency acquisition module. The function of the jitter frequency acquisition module is to obtain jitter frequency monitoring parameters, wherein the jitter frequency monitoring parameters include extreme frequency difference, pre-frequency difference, and frequency influence value. The specific process is as follows:

[0063] The jitter frequency acquisition module obtains the jitter frequency of the platform's jitter mechanism per unit time, obtains the difference between the maximum and minimum jitter frequencies, and marks it as the extreme frequency difference, denoted as JP;

[0064] The jitter frequency acquisition module obtains the average jitter frequency of the platform jitter mechanism per unit time and marks it as the average frequency value. It also obtains the preset jitter frequency parameters and marks them as the pre-frequency value. Finally, it obtains the difference between the average frequency value and the pre-frequency value and marks it as the pre-frequency difference, denoted as YP.

[0065] The jitter frequency acquisition module obtains the average jitter amplitude per unit time under the same jitter frequency condition of the platform jitter mechanism and marks it as the average amplitude value. It also obtains a pre-set jitter amplitude parameter and marks it as the pre-amplitude value. The difference between the average amplitude value and the pre-amplitude value is obtained and marked as the pre-amplitude difference, denoted as YF. The module acquires jitter waveform images within a preset period and obtains the difference between the area of ​​the jitter waveform image on the upper X-axis and the area of ​​the jitter waveform image on the lower X-axis, marking it as the area difference, denoted as MJ. The pre-amplitude difference and area difference are dimensionless, and their numerical values ​​are extracted and substituted into a formula for calculation. The frequency influence value is obtained and denoted as YX, where x1 and x2 are the preset proportional coefficients corresponding to the preamplitude difference and area difference, respectively. x1 and x2 satisfy x1+x2=1, 0<x1<x2<1, and we take x1=0.39 and x2=0.61.

[0066] The jitter frequency acquisition module sends the extreme frequency difference, pre-frequency difference, and frequency impact value to the jitter frequency analysis module.

[0067] Example 4:

[0068] Based on any of the above embodiments, Embodiment 4 of the present invention is a jitter frequency analysis module. The function of the jitter frequency analysis module is to obtain the frequency deviation coefficient, and the specific process is as follows:

[0069] The jitter frequency analysis module removes the dimensions of the extreme frequency difference, pre-frequency difference, and frequency influence value, extracts their numerical values, and substitutes them into the formula for calculation. The frequency deviation coefficient is obtained and denoted as PP. ζ1, ζ2 and ζ3 are the preset weighting factors corresponding to the extreme frequency difference, pre-frequency difference and frequency influence value, respectively. ζ1, ζ2 and ζ3 satisfy ζ1>ζ2>ζ3>1.227. We take ζ1=2.06, ζ2=1.78 and ζ3=1.43.

[0070] The jitter frequency analysis module sends the frequency deviation coefficient to the analysis management platform.

[0071] Example 5:

[0072] Based on any of the above embodiments, Embodiment 5 of the present invention is an analysis and management platform, which has two functions;

[0073] One of its functions is to generate frequency deviation instructions, and the specific process is as follows:

[0074] The analysis and management platform compares the frequency deviation coefficient with the preset frequency deviation threshold. If the frequency deviation coefficient is greater than the frequency deviation threshold, a frequency deviation command is generated and sent to the abnormal alarm module and the drive device monitoring module.

[0075] Its second function is to generate device deviation instructions, the specific process of which is as follows:

[0076] The analysis and management platform compares the device deviation coefficient with the preset device deviation threshold. If the device deviation coefficient is greater than the device deviation threshold, a device deviation command is generated and sent to the anomaly alarm module.

[0077] Example 6:

[0078] Based on any of the above embodiments, Embodiment 6 of the present invention is an anomaly alarm module, which has two functions;

[0079] One of its functions is to illuminate the deviation indicator light on the jitter mechanism of the control platform after receiving a frequency deviation command;

[0080] Its second function is to sound the alarm bell on the shaking mechanism of the control platform after receiving a device deviation command.

[0081] Example 7:

[0082] Based on any of the above embodiments, Embodiment 7 of the present invention is a drive device monitoring module. The function of the drive device monitoring module is to acquire drive device monitoring parameters, which include noise information, temperature information, and current information. The specific process is as follows:

[0083] After receiving the frequency deviation command, the drive equipment monitoring module acquires the noise intensity of the vibratory motor per unit time. It then obtains the difference between the maximum and minimum noise intensity, marking it as the extreme noise difference (JZ). Next, it acquires the difference between the average noise intensity and the average noise intensity during the first use of the vibratory motor, marking it as the initial noise difference (CZ). The extreme and initial noise differences are then dimensionless, their numerical values ​​extracted and substituted into a formula for calculation. The noise information is obtained and denoted as ZY, where z1 and z2 are the preset proportional coefficients corresponding to the extreme noise difference and the initial noise difference, respectively. z1 and z2 satisfy z1+z2=1, 0<z1<z2<1, and z1=0.34 and z2=0.66 are taken.

[0084] The drive equipment monitoring module acquires the temperature difference between the vibration motor before startup and the current temperature, and marks it as the startup temperature difference, denoted as QW. It also acquires the time difference between the vibration motor startup time and the current time, and marks it as the startup duration. Furthermore, it acquires the temperature difference between the temperature during the same startup duration during the first use of the vibration motor and the current temperature, and marks it as the time temperature difference, denoted as SW. The startup temperature difference and time temperature difference are then dimensionless, their numerical values ​​are extracted, and substituted into the formula for calculation. The temperature information is obtained and denoted as WD, where w1 and w2 are the preset proportional coefficients corresponding to the start temperature difference and the time temperature difference, respectively. w1 and w2 satisfy w1+w2=1, 0<w2<w1<1, and we take w1=0.55 and w2=0.45.

[0085] The drive equipment monitoring module obtains the difference between the current of the vibration motor at the current moment and the preset standard current, and marks it as current information, denoted as DL;

[0086] The drive equipment monitoring module sends noise, temperature, and current information to the drive equipment analysis module.

[0087] Example 8:

[0088] Based on any of the above embodiments, Embodiment 8 of the present invention is a drive device analysis module. The function of the drive device analysis module is to obtain the device deviation coefficient, and the specific process is as follows:

[0089] The drive equipment analysis module performs dimensionless processing on noise, temperature, and current information, extracts their numerical values, and substitutes them into formulas for calculation. The equipment deviation coefficient is obtained and denoted as SP, where κ1, κ2 and κ3 are the preset weighting factors corresponding to noise information, temperature information and current information, respectively. κ1, κ2 and κ3 satisfy κ2>κ1>κ3>2.557, and we take κ1=3.13, κ2=3.77 and κ3=2.82.

[0090] The drive equipment analysis module sends the equipment deviation coefficient to the analysis management platform.

[0091] Based on Examples 1-8, the working principle of the present invention is as follows:

[0092] The present invention provides a jitter frequency analysis and management system for a platform jitter mechanism. The system acquires jitter frequency monitoring parameters of the platform jitter mechanism through a jitter frequency acquisition module. These parameters include extreme frequency difference, pre-frequency difference, and frequency influence value. A jitter frequency analysis module obtains a frequency deviation coefficient based on these parameters. An analysis and management platform generates a frequency deviation command based on this coefficient. Upon receiving the frequency deviation command, an anomaly alarm module controls the deviation indicator light on the platform jitter mechanism to illuminate. Upon receiving the frequency deviation command, a drive equipment monitoring module acquires drive equipment monitoring parameters of the vibration motor, including noise, temperature, and current information. The drive equipment analysis module then obtains the equipment deviation based on these parameters. The system analyzes and manages the vibration frequency of the platform to generate a deviation command based on the deviation coefficient. Upon receiving the deviation command, the system controls the alarm bell on the platform's vibration mechanism to sound. The system first collects data on the vibration frequency of the platform's vibration mechanism to obtain vibration frequency monitoring parameters. The frequency deviation coefficient obtained from the vibration frequency monitoring parameters can comprehensively measure the degree of vibration frequency deviation of the platform's vibration mechanism. The larger the frequency deviation coefficient, the higher the degree of deviation. Then, when the deviation is too high, further monitoring is performed. Data is collected from the vibration motor to obtain drive equipment monitoring parameters. The equipment deviation coefficient obtained from the drive equipment monitoring parameters can comprehensively measure the degree of abnormality of the vibration motor. The larger the equipment deviation coefficient, the higher the degree of abnormality. Finally, an abnormality alert is issued.

[0093] The vibration frequency analysis and management system for platform vibration mechanisms provided by this invention can detect and analyze the vibration frequency of the vibration mechanism in real time, realizing accurate analysis and effective control of the vibration frequency of the platform vibration mechanism. It can achieve a stable vibration environment, which is of great significance for improving the working performance of the platform vibration mechanism. It can also monitor the operating data of the vibration motor, which plays an important role, in real time, and analyze and judge through multi-faceted data collection, so as to promptly detect and deal with abnormal states of the vibration motor, thereby improving the operational stability and safety of the platform vibration mechanism.

[0094] It should also be noted that the above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0095] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0096] The above description is merely an example and illustration of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the invention or exceed the scope defined in the claims, all of which should fall within the protection scope of the present invention.

Claims

1. A shaking frequency analysis management system for a platform shaking mechanism, characterized by, The method comprises the following steps: The jitter frequency acquisition module is used for acquiring the jitter frequency monitoring parameter of the platform jitter mechanism and sending it to the jitter frequency analysis module; wherein the jitter frequency monitoring parameter comprises the polar frequency difference value, the pre-frequency difference value and the frequency influence value; The jitter frequency analysis module is used for obtaining the frequency deviation coefficient according to the jitter frequency monitoring parameter and sending the frequency deviation coefficient to the analysis management platform; wherein the specific process of obtaining the frequency deviation coefficient is as follows: The polar frequency difference value, the pre-frequency difference value and the frequency influence value are de-dimensioned, and the three values are substituted into the formula Output the frequency deviation coefficient PP, wherein ζ1, ζ2 and ζ3 are preset weight factors corresponding to the polar frequency difference value, the pre-frequency difference value and the frequency influence value, respectively. The analysis management platform is used for generating the frequency deviation instruction according to the frequency deviation coefficient and sending the frequency deviation instruction to the abnormal alarm module; The abnormal alarm module is used for controlling the deviation display lamp on the platform jitter mechanism to light up after receiving the frequency deviation instruction; The specific process of acquiring the jitter frequency monitoring parameter by the jitter frequency acquisition module is as follows: The maximum jitter frequency and the minimum jitter frequency are acquired, and the difference between the two is marked as the polar frequency difference value, denoted as JP; The average value of the jitter frequency of the platform jitter mechanism per unit time is acquired, which is marked as the average frequency value; the pre-set jitter frequency parameter is acquired, which is marked as the pre-frequency value; the difference between the average frequency value and the pre-frequency value is acquired, which is marked as the pre-frequency difference value, denoted as YP; An average value of the jitter amplitude per unit time under the condition that the jitter mechanism of the acquisition platform has the same jitter frequency is obtained, and is marked as an average amplitude value. A preset jitter amplitude parameter is obtained, and is marked as a preset amplitude value. A difference between the average amplitude value and the preset amplitude value is obtained, and is marked as a preset amplitude difference value, and is marked as YF. A jitter waveform image in a preset period is obtained. A difference between an area of the jitter waveform image on the upper side of the X axis and an area of the jitter waveform image on the lower side of the X axis is obtained, and is marked as an area difference value, and is marked as MJ. The preset amplitude difference value and the area difference value are de-dimensioned. A frequency influence value is obtained according to the formula YX=x1YF+x2MJ, wherein x1 and x2 are preset proportionality coefficients corresponding to the preset amplitude difference value and the area difference value, respectively. The polar frequency difference value, the pre-frequency difference value and the frequency influence value are sent to the jitter frequency analysis module.

2. The dither frequency analysis management system for a stage dither mechanism according to claim 1, wherein The specific process of generating the frequency deviation instruction by the analysis management platform is as follows: The frequency deviation coefficient is compared with the pre-set frequency deviation threshold value; if the frequency deviation coefficient is greater than the frequency deviation threshold value, the frequency deviation instruction is generated and sent to the abnormal alarm module and the driving device monitoring module.

3. The dither frequency analysis management system for a stage dither mechanism according to claim 1, wherein Further comprising: The driving device monitoring module is used for acquiring the driving device monitoring parameter of the vibration motor after receiving the frequency deviation instruction and sending the driving device monitoring parameter to the driving device analysis module; wherein the driving device monitoring parameter comprises the noise information, the temperature information and the current information.

4. The dither frequency analysis management system for a stage dither mechanism according to claim 3, wherein The specific process of acquiring the driving device monitoring parameter by the driving device monitoring module is as follows: After receiving the frequency deviation instruction, the noise sound intensity of the vibration motor in a unit time is obtained, the difference between the maximum noise sound intensity and the minimum noise sound intensity is obtained and marked as an extreme noise difference value, denoted as JZ, the difference between the average noise sound intensity and the average noise sound intensity in the first use process of the vibration motor is obtained and marked as an initial noise difference value, denoted as CZ, the extreme noise difference value and the initial noise difference value are de-dimensioned, and the noise information ZY is obtained according to the formula wherein z1 and z2 are preset proportion coefficients corresponding to the extreme noise difference value and the initial noise difference value, respectively. The difference between the temperature before the vibration motor starts and the current temperature is obtained, and is marked as a start temperature difference, denoted as QW. The time difference between the vibration motor starting time and the current time is obtained, and is marked as a start time length. The difference between the temperature at the same start time length during the first use of the vibration motor and the current temperature is obtained, and is marked as a time temperature difference, denoted as SW. The start temperature difference and the time temperature difference are de-dimensioned, and the temperature information WD is obtained according to the formula wherein w1 and w2 are preset proportionality coefficients corresponding to the start temperature difference and the time temperature difference respectively. The difference between the current of the vibration motor at the current moment and the pre-set standard current is acquired, which is marked as the current information, denoted as DL; The noise information, the temperature information and the current information are sent to the driving device analysis module.

5. The dither frequency analysis management system for a stage dither mechanism according to claim 4, wherein Further comprising: The driving device analysis module is used for obtaining the device deviation coefficient according to the driving device monitoring parameter and sending the device deviation coefficient to the analysis management platform.

6. The dither frequency analysis management system for a stage dither mechanism according to claim 5, wherein The specific process of obtaining the device deviation coefficient by the driving device analysis module is as follows: The noise information, the temperature information and the current information are de-dimensioned, and a device deviation coefficient SP is obtained according to a formula wherein κ1, κ2 and κ3 are preset weight factors corresponding to the noise information, the temperature information and the current information respectively. The device deviation coefficient is sent to the analysis management platform.

7. The dither frequency analysis management system for a stage dither mechanism according to claim 1, wherein The analysis management platform is further used for generating the device deviation instruction according to the device deviation coefficient and sending the device deviation instruction to the abnormal alarm module.

8. The dither frequency analysis management system for a stage dither mechanism according to claim 7, wherein The specific process of generating the device deviation instruction by the analysis management platform is as follows: The device deviation coefficient is compared with the pre-set device deviation threshold value; if the device deviation coefficient is greater than the device deviation threshold value, the device deviation instruction is generated and sent to the abnormal alarm module.

9. The dither frequency analysis management system for a stage dither mechanism according to claim 1, wherein The abnormal alarm module is further used for controlling the alarm bell on the platform jitter mechanism to ring after receiving the device deviation instruction.

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