A wireless transmission optimization method and optimization system for motor operation data

Abstract

The present application discloses a wireless transmission optimization method and optimization system for motor operation data, which belongs to the field of data transmission optimization technology, including: a server receives first environmental data collected from an acquisition device, the first environmental data including motor operation parameters and wireless transmission parameters; performs interference analysis according to the first environmental data, and establishes an interference analysis model; dynamically adjusts the wireless transmission parameters according to the analysis results, and the dynamic adjustment includes adjusting the allocation of the spectrum; verifies the dynamic adjustment process, and evaluates the system performance. In the implementation of the technical solution of the present application, by performing independent analysis of the motor operation parameters and dependent analysis of the wireless transmission parameters, and dynamically adjusting the wireless transmission parameters according to the analysis results, the influence of electromagnetic interference generated during the motor operation on the wireless transmission process is reduced, and the wireless transmission stability of the motor operation parameters is improved.

Description

Technical Field

[0001] The present application relates to the technical field of data transmission optimization, and specifically to a wireless transmission optimization method and optimization system for motor operation data. Background Art

[0002] Motors are a common type of industrial equipment, widely used in various production and life fields. With the development of industrial automation and intelligence, real-time monitoring and transmission of motor operation data are becoming more and more important.

[0003] The transmission of motor operation data usually occurs at various stages, such as the motor physical signal to the acquisition device, the acquisition device to the data analysis system, the acquisition device to the early warning system, etc. In order to facilitate the transmission, wireless transmission methods are currently commonly used, such as local area network, mobile communication, near-field communication, etc. to realize the transmission of motor operation data, so that the various systems can respond quickly and analyze and process the motor operation data in time.

[0004] However, in actual application, the wireless transmission method is seriously affected by signal interference, which leads to adverse factors such as bit errors and losses in the wireless transmission process of data, thereby affecting the analysis and processing of the motor operation data. Although the existing technology can reduce the interference of wireless transmission by using physical shielding, in the actual operation of the motor, especially for motors in industrial environments, they usually operate at high power, thereby generating strong electromagnetic fields. These electromagnetic fields will fluctuate at different frequencies, thereby affecting the wireless communication frequency band, and this impact will depend on the operating state of the motor, showing continuous or intermittent interference, and the rules are difficult to grasp. It is difficult to optimize the motor operation data during the wireless transmission process.

[0005] Therefore, it is necessary to provide a wireless transmission optimization method and optimization system for motor operation data to solve the above problems.

[0006] It should be noted that the above information disclosed in this background technology section is only for understanding the background technology of the present application concept, and therefore, it may contain information that does not constitute the prior art. Summary of the invention

[0007] Based on the above-mentioned problems existing in the prior art, the problem to be solved by the present application is: to provide a wireless transmission optimization method and optimization system for motor operation data, by collaboratively analyzing the motor operation parameters and wireless transmission parameters, timely optimizing the wireless transmission process, and reducing the electromagnetic interference generated by the motor operation.

[0008] The technical solution adopted by the present application to solve the technical problem is: a method for optimizing the wireless transmission of motor operation data, comprising:

[0009] The server receives first environmental data collected by a collection device, where the collection device is set in a motor application scenario, and the first environmental data includes motor operation parameters and wireless transmission parameters;

[0010] Performing interference analysis according to the first environment data and establishing an interference analysis model, wherein the interference analysis includes independent variable analysis of motor operation parameters and dependent variable analysis of wireless transmission parameters;

[0011] Dynamically adjusting wireless transmission parameters according to the analysis results, including adjusting the allocation of spectrum;

[0012] Verify the dynamic adjustment process and evaluate the system performance.

[0013] During the implementation of the technical solution of the present application, by performing independent analysis of the motor operating parameters and dependent analysis of the wireless transmission parameters, and dynamically adjusting the wireless transmission parameters based on the analysis results, the impact of electromagnetic interference generated during the motor operation on the wireless transmission process is reduced, thereby improving the wireless transmission stability of the motor operating parameters.

[0014] Further, the independent variable analysis of the motor operating parameters includes:

[0015] The self-variation analysis of the motor operating parameters first tracks the parameters of the motor during the entire process of starting, running and stopping in real time;

[0016] Select a fixed time period and obtain the statistical average values ​​of the motor operating parameters within the time period. Use these data to analyze the electromagnetic interference characteristics of the motor under different working conditions. The electromagnetic interference characteristics are analyzed using a spectrum analyzer.

[0017] Quantify the electromagnetic interference characteristics of the motor under different operating conditions and compare the quantified results with the wireless transmission standard to evaluate the specific impact of motor operation on wireless transmission quality;

[0018] Based on the comparison results, the corresponding motor operation parameter adjustment strategy is further formulated.

[0019] Further, the dependent analysis of wireless transmission parameters includes:

[0020] Receive wireless transmission parameters and extract data within a fixed time period to identify and classify interference sources;

[0021] The impact of the identified interference sources is evaluated using the mean square error method to determine their specific impact on the quality of wireless transmission;

[0022] An interference analysis model is established, the input end of which inputs the independent analysis results of the motor operation parameters and the dependent analysis results of the wireless transmission parameters, and outputs an electrical signal indicating whether adjustment is required.

[0023] Furthermore, the interference sources are identified and classified using a collaborative analysis method of electromagnetic interference characteristics, which is based on the electromagnetic interference characteristics analyzed from the motor operating parameters and the changes in the wireless transmission parameters.

[0024] Further, after determining the interference source and the time period corresponding to the interference source, a single type of mean square error calculation is performed on the wireless transmission parameters in the time period to obtain the fluctuation value of this type of data, and then the mean square error calculation is repeated to obtain the fluctuation values ​​of all wireless transmission parameters.

[0025] Furthermore, the interference analysis model is a coupling model.

[0026] Furthermore, the spectrum allocation adjustment includes adopting a dynamic spectrum allocation strategy based on real-time interference conditions, and adjusting the spectrum usage mode in combination with the motor operating status and the requirements of wireless transmission quality.

[0027] Furthermore, verification of the dynamic adjustment process includes real-time monitoring of the transmission performance indicators after adjustment, and comparative analysis with the data before adjustment. By constructing a performance evaluation curve, the changes before and after adjustment are output to verify the effectiveness of the dynamic adjustment strategy. At the same time, the overall performance improvement is evaluated in combination with the long-term operation data of the system.

[0028] A wireless transmission optimization system for motor operation data, the system comprising:

[0029] A first environment data receiving module, used for the server to receive first environment data collected from a collection device, the collection device is set in the motor application scene, the first environment data includes motor operation parameters and wireless transmission parameters;

[0030] An interference analysis module, used to perform interference analysis according to the first environment data and establish an interference analysis model, wherein the interference analysis includes independent analysis of motor operation parameters and dependent analysis of wireless transmission parameters;

[0031] A wireless transmission parameter dynamic adjustment module, used to dynamically adjust the wireless transmission parameters according to the analysis results, and the dynamic adjustment includes the adjustment of the allocation of the spectrum;

[0032] The verification and evaluation module is used to verify the dynamic adjustment process and evaluate the system performance.

[0033] The beneficial effects of the present application are as follows: the present application provides a wireless transmission optimization method and optimization system for motor operation data, which reduces the impact of electromagnetic interference generated during motor operation on the wireless transmission process and improves the stability of wireless transmission of motor operation parameters through independent variable analysis of motor operation parameters and dependent variable analysis of wireless transmission parameters, and dynamically adjusts the wireless transmission parameters according to the analysis results.

[0034] In addition to the above-described purposes, features and advantages, the present application also has other purposes, features and advantages. The present application will be further described in detail with reference to the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The drawings constituting part of the present application are used to provide a further understanding of the present application. The exemplary embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0036] Figure 1 This is a schematic diagram of the overall process of a method for optimizing wireless transmission of motor operation data in this application;

[0037] Figure 2 This is a schematic diagram of the module structure of a wireless transmission optimization system for motor operation data in this application. DETAILED DESCRIPTION

[0038] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0039] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0040] Embodiment 1: Figure 1 As shown, the present application provides a method for optimizing wireless transmission of motor operation data, which is applied to the optimization of wireless transmission of motor operation data. By combining motor operation parameters and wireless transmission parameters, the communication device is dynamically adjusted to reduce the influence of the electromagnetic field generated during the operation of the motor on the wireless transmission process. Specifically, the wireless transmission optimization method includes the following steps:

[0041] Step 01: The server receives first environmental data collected by a collection device, where the collection device is set in a motor application scenario, and the first environmental data includes motor operation parameters and wireless transmission parameters;

[0042] In order to optimize the wireless transmission process, in this embodiment, priority is given to adjusting the operating parameters of the communication device, such as adjusting the working frequency band, switching the communication frequency, etc., and the adjustment of the communication device needs to be based on the first environmental data collected by the acquisition device. The acquisition device is set in the application scenario of the motor. The first environmental data includes motor operating parameters and wireless transmission parameters, and there are different types of acquisition devices in different locations. For example, when collecting motor operating parameters, a motor tester can be selected to collect parameters such as the motor's startup information, voltage, current, and speed. When collecting wireless transmission parameters, a wireless data collector can be selected to collect parameters such as the current transmission frequency, working frequency band, and signal strength of the wireless transmission channel;

[0043] It should be noted that the server refers to a hardware module with functions such as data reception, analysis, and processing, and in this embodiment may be a computer, an industrial computer, or other similar devices, and is not a server device in the prior art;

[0044] Step 02: performing interference analysis according to the first environment data and establishing an interference analysis model, wherein the interference analysis includes independent variable analysis of motor operation parameters and dependent variable analysis of wireless transmission parameters;

[0045] In actual application, the operation process of the motor will produce changes in various motor operation parameters, such as instantaneous power changes when the motor starts and stops, changes in average power caused by increasing or decreasing power, etc., and these processes will generate electromagnetic fields around the motor, and the generated electromagnetic fields will interfere with the wireless transmission process. Therefore, the interference analysis based on the first environmental data includes independent analysis of the motor operation parameters and dependent analysis of the wireless transmission parameters under the influence of the motor, so as to analyze the influence of the electromagnetic field generated by the motor operation on the wireless transmission process. Specifically, the independent analysis of the motor operation parameters includes the following steps:

[0046] Step 201: Analyze the independent variation of the motor operating parameters. First, track the parameters of the motor during the entire process of starting, running, and stopping in real time. This process involves recording the changing trends of key indicators such as motor starting information, voltage, current, and speed in detail.

[0047] Step 202: selecting a fixed time period and obtaining the statistical average values ​​of the motor operating parameters in the time period, and using these data to analyze the electromagnetic interference characteristics of the motor under different working conditions, wherein the analysis of the electromagnetic interference characteristics is performed using a spectrum analyzer;

[0048] In order to better control the variables and make the analysis process more accurate, it is necessary to select a fixed time period for analysis and obtain the statistical average of the motor operating parameters within the time period. By obtaining the statistical average, the interference caused by random factors can be effectively filtered out, so as to more accurately capture the correlation between the motor operating parameters and the wireless transmission interference. At the same time, in this embodiment, the electromagnetic field generated during the operation of the motor is not collected, but the electromagnetic interference characteristics of the motor under different working conditions are directly analyzed by the spectrum analyzer, which saves a lot of work and has better effects. The application of spectrum analyzers is relatively mature, avoiding additional interference in the electromagnetic field analysis process. The unit of the electromagnetic interference characteristics is decibel. The method of using the spectrum analyzer can refer to the existing technology or relevant public information, and is not described in detail in this embodiment.

[0049] Step 203: quantifying the electromagnetic interference characteristics of the motor under different working conditions, and comparing the quantification results with the wireless transmission standard to evaluate the specific impact of the motor operation on the wireless transmission quality;

[0050] After obtaining the electromagnetic interference characteristics under different working conditions, it is also necessary to quantify them and compare the quantified results with the wireless transmission standards. The wireless transmission standards refer to the industry standards used to ensure the communication quality. When evaluating the specific impact of motor operation on the wireless transmission quality, a detailed comparison of the quantified data with the standards can clarify which parameter changes during the motor operation process have the most significant impact on the wireless transmission quality, thereby providing a basis for subsequent communication equipment adjustments;

[0051] Step 204: further formulating a corresponding motor operating parameter adjustment strategy based on the comparison result;

[0052] Based on the comparison results, the motor operating parameters can be fine-tuned, such as optimizing the motor starting method, regulating the current stability, and formulating corresponding countermeasures for speed changes under different working conditions. The implementation of these strategies can reduce electromagnetic interference while preparing for subsequent wireless transmission and improving transmission efficiency.

[0053] The dependent analysis of wireless transmission parameters includes the following steps:

[0054] Step 205: receiving wireless transmission parameters, and extracting data within a fixed time period to identify and classify interference sources;

[0055] Wireless transmission parameters may be affected by motor operation, such as signal strength fluctuations, increased bit error rate, etc., and in order to better identify interference sources and analyze interference conditions, data in the same time period as the independent variable analysis of motor operation parameters are selected as analysis sources; wherein, the identification and classification of interference sources are carried out using a collaborative analysis method of electromagnetic interference characteristics, that is, based on the electromagnetic interference characteristics analyzed from the motor operation parameters, a collaborative analysis is performed with the changes in the wireless transmission parameters. Specifically, in a time period with strong electromagnetic interference characteristics, the wireless transmission parameters are compared to determine negative changes, wherein negative changes include channel fading, multipath effects, phase changes, etc., and whether the interference source comes from the motor operation parameters is determined based on the negative changes;

[0056] Step 206: using the mean square error method to evaluate the impact of the identified interference source to determine its specific impact on the wireless transmission quality;

[0057] After determining the interference source, it is also necessary to evaluate the impact of the interference source, because not all interference sources need to be adjusted. Within the controllable range, even if the interference source affects the wireless transmission process, as long as the wireless transmission parameters remain stable, data wireless transmission can be carried out normally without adjustment. If the motor operation parameters or wireless transmission parameters are adjusted at this time, it will cause timing fluctuations, which will have a negative impact on the entire wireless transmission process.

[0058] In this embodiment, the mean square error method is used to evaluate the impact of the identified interference source. For example, after determining the interference source and the time period corresponding to the interference source, a single-type mean square error calculation is performed on the wireless transmission parameters in the time period to obtain the fluctuation value of this type of data, and then the mean square error calculation is repeated to obtain the fluctuation values ​​of all wireless transmission parameters, the wireless transmission parameters including signal strength, signal-to-noise ratio, bit error rate, etc., and then the specific impact of the interference source on the wireless transmission quality is judged according to the obtained various types of fluctuation values;

[0059] In the prior art, since different parameters have different effects on wireless transmission, after calculating the fluctuation values ​​of various types of data, it is necessary to judge the quality of wireless transmission according to the actual situation. For details, the prior art can be referred to, or each fluctuation value can be compared with a preset threshold to determine whether it exceeds the acceptable wireless transmission quality range;

[0060] Step 207: establishing an interference analysis model, wherein the input end of the interference analysis model inputs the independent analysis results of the motor operation parameters and the dependent analysis results of the wireless transmission parameters, and outputs an electrical signal indicating whether adjustment is required;

[0061] After analyzing the motor operation parameters and the wireless transmission parameters respectively, the two analysis results need to be combined, so an interference analysis model is established. The interference analysis model is a coupling model, such as an electromagnetic coupling model, a spectrum coupling model, etc., which can perform coupling analysis on different types of input data and output analysis results. In this embodiment, the output result of the interference analysis model is an electrical signal indicating whether adjustment is required;

[0062] Step 03: Dynamically adjust the wireless transmission parameters according to the analysis results, including the adjustment of the spectrum allocation;

[0063] After the above analysis, dynamic adjustment is required to overcome electromagnetic interference. In actual applications, the operation process of the motor is generally not adjusted to ensure the normal operation of the motor environment. Instead, the wireless transmission parameters are mainly adjusted. According to the principles of wireless transmission and electromagnetic interference, the allocation and adjustment of the spectrum is the key. The frequency point is adjusted in real time, the frequency band is widened, or the modulation method is changed to reduce the impact of interference sources on wireless transmission. In addition, combined with the output of the interference analysis model, the working status of wireless transmission equipment such as signal amplifiers and filters is fine-tuned to ensure the stability and reliability of data transmission. This can not only maintain high-quality transmission in a complex electromagnetic environment, but also avoid timing fluctuations caused by excessive adjustment, ensuring the smooth operation of the entire system.

[0064] Specifically, the allocation and adjustment of spectrum includes adopting a dynamic spectrum allocation strategy based on real-time interference conditions, and adjusting the spectrum usage mode in combination with the motor operating status and the requirements of wireless transmission quality. For example, during periods of active interference sources, the affected frequency bands are dynamically avoided and more stable spectrum resources are selected; at the same time, through algorithm optimization, the maximum utilization of spectrum resources is achieved, the risk of transmission interruption caused by interference is reduced, and the overall communication efficiency is improved; for the intelligent strategy of spectrum allocation adjustment, an adaptive adjustment algorithm is also used to predict interference patterns through deep learning of historical data, and pre-adjust the spectrum before interference occurs, thereby reducing transmission error rates and system maintenance costs;

[0065] Step 04: Verify the dynamic adjustment process and evaluate the system performance.

[0066] After implementing dynamic adjustment, the adjustment effect needs to be verified to ensure that the measures taken can effectively reduce electromagnetic interference and improve the quality of wireless transmission. The verification process includes the following steps: real-time monitoring of transmission performance indicators after adjustment, such as signal strength, bit error rate, transmission rate, etc., and comparative analysis with the data before adjustment. By constructing a performance evaluation curve, the changes before and after adjustment are output to verify the effectiveness of the dynamic adjustment strategy. At the same time, combined with the long-term operation data of the system, the overall performance improvement is evaluated to provide data support for subsequent optimization.

[0067] During the verification process, a monitoring platform can also be established to send the verification results to the monitoring platform, so that the staff can understand the data transmission status in real time.

[0068] Embodiment 2: Figure 2 As shown, the present application provides a wireless transmission optimization system for motor operation data, which runs the transmission optimization method in embodiment 1 to adjust the wireless transmission of motor operation data in real time, and the system includes:

[0069] A first environment data receiving module, used for the server to receive first environment data collected from a collection device, the collection device is set in the motor application scene, the first environment data includes motor operation parameters and wireless transmission parameters;

[0070] An interference analysis module, used to perform interference analysis according to the first environment data and establish an interference analysis model, wherein the interference analysis includes independent analysis of motor operation parameters and dependent analysis of wireless transmission parameters;

[0071] A wireless transmission parameter dynamic adjustment module, used to dynamically adjust the wireless transmission parameters according to the analysis results, and the dynamic adjustment includes the adjustment of the allocation of the spectrum;

[0072] The verification and evaluation module is used to verify the dynamic adjustment process and evaluate the system performance.

[0073] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for optimizing wireless transmission of motor operation data, characterized in that: include: The server receives first environmental data collected by a collection device, where the collection device is set in a motor application scenario, and the first environmental data includes motor operation parameters and wireless transmission parameters; Performing interference analysis according to the first environment data and establishing an interference analysis model, wherein the interference analysis includes independent variable analysis of motor operation parameters and dependent variable analysis of wireless transmission parameters; Dynamically adjusting wireless transmission parameters according to the analysis results, including adjusting the allocation of spectrum; Verify the dynamic adjustment process and evaluate the system performance; The independent variable analysis of motor operating parameters includes: The self-variation analysis of the motor operating parameters first tracks the parameters of the motor during the entire process of starting, running and stopping in real time; Select a fixed time period and obtain the statistical average values ​​of the motor operating parameters within the time period. Use these data to analyze the electromagnetic interference characteristics of the motor under different working conditions. The electromagnetic interference characteristics are analyzed using a spectrum analyzer. Quantify the electromagnetic interference characteristics of the motor under different operating conditions and compare the quantified results with the wireless transmission standard to evaluate the specific impact of motor operation on wireless transmission quality; According to the comparison results, further formulate corresponding motor operating parameter adjustment strategies to adjust the motor operating parameters, including optimizing the motor starting method, regulating the stability of current, and formulating corresponding countermeasures for speed changes under different working conditions; The dependent analysis of wireless transmission parameters includes: Receive wireless transmission parameters and extract data within the same fixed time period to identify and classify interference sources. Select data within the same time period as the motor operating parameter independent variable analysis as the analysis source. In the time period with strong electromagnetic interference characteristics, compare the wireless transmission parameters to determine their negative changes. According to the negative changes, determine whether the interference source comes from the motor operating parameters. The impact degree of the identified interference source is evaluated by using the mean square error method to determine its specific impact on the wireless transmission quality. After determining the interference source and the time period corresponding to the interference source, a single type of mean square error calculation is performed on the wireless transmission parameters in the time period to obtain the fluctuation value of this type of data, and then the mean square error calculation is repeated to obtain the fluctuation values ​​of all wireless transmission parameters. Establishing an interference analysis model, the input end of which inputs the independent analysis results of the motor operation parameters and the dependent analysis results of the wireless transmission parameters, and outputs an electrical signal indicating whether adjustment is required; The identification and classification of interference sources are carried out using the collaborative analysis method of electromagnetic interference characteristics. The electromagnetic interference characteristics analyzed from the motor operating parameters are collaboratively analyzed with the changes in the wireless transmission parameters.

2. The method for optimizing wireless transmission of motor operation data according to claim 1, characterized in that: The interference analysis model is a coupling model.

3. The method for optimizing wireless transmission of motor operation data according to claim 1, characterized in that: The adjustment of spectrum allocation includes adopting a dynamic spectrum allocation strategy based on real-time interference conditions, and adjusting the spectrum usage mode in combination with the motor operating status and wireless transmission quality requirements.

4. The method for optimizing wireless transmission of motor operation data according to claim 1, characterized in that: Verification of the dynamic adjustment process includes real-time monitoring of the transmission performance indicators after adjustment, and comparative analysis with the data before adjustment. By constructing a performance evaluation curve, the changes before and after adjustment are output to verify the effectiveness of the dynamic adjustment strategy. At the same time, the overall performance improvement is evaluated in combination with the long-term operation data of the system.

5. A wireless transmission optimization system for motor operation data, characterized in that: The system includes: A first environment data receiving module, used for the server to receive first environment data collected from a collection device, the collection device is set in the motor application scene, the first environment data includes motor operation parameters and wireless transmission parameters; An interference analysis module, used to perform interference analysis according to the first environment data and establish an interference analysis model, wherein the interference analysis includes independent analysis of motor operation parameters and dependent analysis of wireless transmission parameters; The independent variable analysis of motor operating parameters includes: The self-variation analysis of the motor operating parameters first tracks the parameters of the motor during the entire process of starting, running and stopping in real time; Select a fixed time period and obtain the statistical average values ​​of the motor operating parameters within the time period. Use these data to analyze the electromagnetic interference characteristics of the motor under different working conditions. The electromagnetic interference characteristics are analyzed using a spectrum analyzer. Quantify the electromagnetic interference characteristics of the motor under different operating conditions and compare the quantified results with the wireless transmission standard to evaluate the specific impact of motor operation on wireless transmission quality; According to the comparison results, further formulate corresponding motor operating parameter adjustment strategies to adjust the motor operating parameters, including optimizing the motor starting method, regulating the stability of current, and formulating corresponding countermeasures for speed changes under different working conditions; The dependent analysis of wireless transmission parameters includes: Receive wireless transmission parameters and extract data within the same fixed time period to identify and classify interference sources. Select data within the same time period as the motor operating parameter independent variable analysis as the analysis source. In the time period with strong electromagnetic interference characteristics, compare the wireless transmission parameters to determine their negative changes. According to the negative changes, determine whether the interference source comes from the motor operating parameters. The impact degree of the identified interference source is evaluated by using the mean square error method to determine its specific impact on the wireless transmission quality. After determining the interference source and the time period corresponding to the interference source, a single type of mean square error calculation is performed on the wireless transmission parameters in the time period to obtain the fluctuation value of this type of data, and then the mean square error calculation is repeated to obtain the fluctuation values ​​of all wireless transmission parameters. Establishing an interference analysis model, the input end of which inputs the independent analysis results of the motor operation parameters and the dependent analysis results of the wireless transmission parameters, and outputs an electrical signal indicating whether adjustment is required; A wireless transmission parameter dynamic adjustment module, used to dynamically adjust the wireless transmission parameters according to the analysis results, and the dynamic adjustment includes the adjustment of the allocation of the spectrum; The verification and evaluation module is used to verify the dynamic adjustment process and evaluate the system performance.

6. The wireless transmission optimization system for motor operation data according to claim 5, characterized in that: Used to implement the wireless transmission optimization method of motor operating data as described in any one of claims 1 to 4.

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