Intelligent slot-adjusting magnetic non-contact flywheel transmission response monitoring method and system

Abstract

The application discloses a kind of intelligent gap-adjusting magnetic non-contact flywheel transmission response supervision method and system, belong to flywheel transmission technical field.The method is compared with the preset magnetic force transmission parameter type domain value by sensor acquisition flywheel transmission target response parameter, and abnormal parameter and corresponding time stamp node stage are marked;Response parameter sample cluster is constructed based on parameter type and time stamp, and gap-adjusting characteristic sample cluster is formed by screening;Parameter type and time stamp coding construct gap-adjusting feature, and response error coefficient is evaluated;According to the error coefficient change of adjacent stage, judge the gap-adjusting trend, through the dynamic adjustment of speed regulator flywheel speed, parameter is normal when interrupting speed regulation.The application realizes intelligent gap-adjusting under non-contact transmission, improves transmission accuracy and response real-time, solves the problems such as traditional gap-adjusting lag, depends on artificial, is applicable to flywheel power generation, industrial transmission, new energy equipment and other fields.

Description

Technical Field

[0001] This invention relates to the field of flywheel transmission technology, specifically to a method and system for monitoring the response of a magnetic non-contact flywheel transmission with intelligent gap adjustment. Background Technology

[0002] In the field of flywheel drive technology, especially in flywheel power generation and industrial machinery transmission, magnetic non-contact transmission is widely used due to its advantages such as no mechanical wear, low noise, and adaptability to harsh working conditions. Intelligent clearance adjustment in flywheel power generation refers to a technology that, in a magnetic non-contact flywheel drive system, accurately identifies the dynamic deviation of the transmission clearance by real-time acquisition of key magnetic transmission parameters such as magnetic strength, transmission torque, and speed difference, combined with the time-dimensional changes in these parameters. Then, an intelligent control device automatically adjusts the flywheel speed to maintain the transmission clearance within a preset reasonable range (avoiding excessive clearance leading to decreased transmission efficiency or insufficient clearance causing magnetic interference or mechanical wear). Its core is to achieve real-time, quantitative, and dynamic control of clearance without manual intervention or reliance on downtime testing, adapting to scenarios such as speed fluctuations and changing operating conditions in flywheel power generation, ensuring high precision and stability of the transmission system. However, existing magnetic non-contact flywheel drive clearance adjustment technologies still have many problems that urgently need to be solved, severely restricting transmission efficiency and operational stability.

[0003] During flywheel transmission, the transmission clearance is prone to dynamic changes due to factors such as speed fluctuations, temperature changes, and magnetic force attenuation. Manual adjustment is difficult to capture instantaneous anomalies, and shutdown operations lead to a decrease in production efficiency. Especially in continuous operation scenarios such as flywheel power plants, shutdown clearance adjustment will cause energy loss.

[0004] In magnetic non-contact transmission, gap adjustment anomalies are closely related to parameter fluctuations at specific time points. Traditional technologies lack timestamp marking and sample cluster construction mechanisms, making it difficult to locate the cause of the anomaly, predict the trend of gap adjustment changes, and only passively respond to the fault.

[0005] Existing technologies have not established an error calculation model based on parameter thresholds, which cannot accurately characterize the degree to which the clearance deviates from the normal state. This results in strong subjectivity in speed regulation decisions, making it easy to over-adjust or under-adjust, which in turn affects transmission accuracy and may even exacerbate equipment wear.

[0006] These problems result in existing magnetic non-contact flywheel drive systems having defects such as low gap adjustment accuracy, poor operating efficiency, high maintenance costs, and high failure risks, making it difficult to meet the requirements of modern industrial production and new energy power generation for high-precision, intelligent, and continuous operation of drive systems. Summary of the Invention

[0007] The purpose of this invention is to provide a method and system for monitoring the response of a magnetic non-contact flywheel drive with intelligent gap adjustment, so as to solve the problems mentioned in the background art.

[0008] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0009] A smart gap-adjusting magnetic non-contact flywheel drive response monitoring system includes: a target response parameter acquisition and marking module, a response parameter sample cluster construction module, a magnetic drive gap-adjusting feature processing and error assessment module, and a flywheel speed intelligent control module.

[0010] The target response parameter acquisition and marking module is used to acquire the target response parameters during the flywheel transmission process, compare the target response parameters with the magnetic transmission parameter type field value and mark the target response parameters, and record the timestamp node stage corresponding to the target response parameters.

[0011] The response parameter sample cluster construction module constructs a response parameter sample cluster based on the magnetic drive parameter type and timestamp node stage, filters the target response parameters and corresponding timestamp node stages, and forms a magnetic drive gap adjustment feature sample cluster.

[0012] The magnetic drive gap adjustment feature processing and error evaluation module is used to encode the magnetic drive parameter type and timestamp node stage, construct the magnetic drive gap adjustment feature and record it into the magnetic drive gap adjustment feature sample cluster, and evaluate the response error coefficient of the gap adjustment feature.

[0013] The flywheel speed intelligent control module is used to determine the trend of the gap change based on the change of the response error coefficient in adjacent stages, adjust the flywheel speed through the speed controller, and disconnect the speed controller when all target response parameters are normal.

[0014] As a preferred embodiment of the present invention, the target response parameter acquisition and marking module includes a parameter acquisition unit, a threshold comparison and marking unit, and a timestamp recording unit;

[0015] The parameter acquisition unit is used to acquire various target response parameters during the flywheel transmission process through sensors;

[0016] The threshold comparison marking unit is used to compare the collected target response parameters with the preset magnetic transmission parameter type threshold values ​​and mark the target response parameters that exceed the threshold value range.

[0017] The timestamp recording unit is used to configure the initial response timestamp and record the timestamp node stage when the target response parameter is marked.

[0018] As a preferred embodiment of the present invention, the response parameter sample cluster construction module includes a sample cluster construction unit, a label parameter association unit, and a gap adjustment feature sample cluster generation unit;

[0019] The sample cluster construction unit collects target response parameters and constructs response parameter sample clusters according to the time stamp node stage, based on the magnetic drive parameter type.

[0020] The tag parameter association unit is used to associate the tagged target response parameter in the response parameter sample cluster with its corresponding timestamp node stage;

[0021] The gap adjustment feature sample cluster generation unit is used to integrate the associated target response parameters and timestamp node stages to form a magnetic drive gap adjustment feature sample cluster.

[0022] As a preferred embodiment of the present invention, the magnetic drive gap adjustment feature processing and error evaluation module includes an encoding unit, a gap adjustment feature construction unit, and a response error coefficient calculation unit;

[0023] The encoding unit is used to uniformly encode the magnetic drive parameter type and timestamp node stage, and establish an index identifier.

[0024] The gap adjustment feature construction unit is used to identify the target response parameters and corresponding timestamp node stages through the encoding index, construct magnetic drive gap adjustment features and record them into the gap adjustment feature sample cluster;

[0025] The response error coefficient calculation unit calculates the response error coefficient corresponding to each gap feature based on the preset magnetic transmission parameter type range.

[0026] As a preferred embodiment of the present invention, the flywheel speed intelligent control module includes a state trend judgment unit, a speed adjustment unit, and a speed controller interruption unit;

[0027] The state trend judgment unit is used to compare the response error coefficients of adjacent timestamp nodes to determine the gap change trend when the flywheel drive execution module switches states.

[0028] The speed adjustment unit is used to adjust the flywheel speed according to the trend of the gap change by the speed regulator, including reducing, increasing or maintaining the speed.

[0029] The speed controller interruption unit is used to interrupt the connection of the speed controller when all target response parameters are within the preset magnetic transmission parameter type range.

[0030] A method for monitoring the response of a magnetic non-contact flywheel drive with intelligent gap adjustment, comprising the following steps:

[0031] Step S1: Collect the target response parameters during the flywheel drive process, compare them with the preset magnetic drive parameter type thresholds, mark the parameters that exceed the threshold range, and record the timestamp node when the parameter is marked.

[0032] Step S2: Based on the magnetic drive parameter type and timestamp node stage, construct a response parameter sample cluster, filter out the marked parameters and corresponding timestamp node stages, and form a magnetic drive gap adjustment feature sample cluster;

[0033] Step S3: Unify the encoding of magnetic drive parameter types and timestamp node stages, construct magnetic drive gap adjustment features and record them in the gap adjustment feature sample cluster, and evaluate the response error coefficient of the gap adjustment feature.

[0034] Step S4: Based on the change in response error coefficients of adjacent timestamp nodes, determine the trend of gap change when the flywheel drive execution module switches states, adjust the flywheel speed through the speed controller, and interrupt the connection of the speed controller when all target response parameters are within the preset threshold range.

[0035] As a preferred embodiment of the present invention, the specific implementation process of step S1 includes:

[0036] The target response parameters during the transmission process are collected by a sensor installed in the flywheel drive actuator module for detecting magnetic transmission parameters. Each target response parameter corresponds to a type of magnetic transmission parameter. The target response parameter is compared with a preset magnetic transmission parameter type range value in the magnetic transmission parameter detection sensor. If the target response parameter is not within the range value of the magnetic transmission parameter type, the target response parameter is marked. If the target response parameter is within the range value of the magnetic transmission parameter type, the target response parameter is not marked.

[0037] Before marking the target response parameter, an initial response timestamp is configured, which contains several timestamp nodes. Based on the initial response timestamp, when marking the target response parameter, the timestamp node stage in which the target response parameter is marked is recorded, and the timestamp node stage consists of two consecutive adjacent timestamp nodes.

[0038] It should be noted that the threshold values ​​of magnetic transmission parameters are reasonable ranges of parameters (such as the upper and lower limits of magnetic strength and torque) determined according to the design requirements and operating conditions of the flywheel transmission. These threshold values ​​are directly and strongly correlated with the transmission clearance. If the transmission clearance is too large, the magnetic strength will decrease and the torque transmission efficiency will decrease; if the clearance is too small, the magnetic interference will increase, the temperature will rise, and the speed difference will increase.

[0039] As a preferred embodiment of the present invention, the specific implementation process of step S2 includes:

[0040] When collecting target response parameters during the transmission process, a response parameter sample cluster is constructed based on the magnetic transmission parameter type, and one target response parameter corresponds to one magnetic transmission parameter type. Each target response parameter indexed by each magnetic transmission parameter type constitutes a set of response parameter samples, and the set of response parameter samples is recorded in the response parameter sample cluster.

[0041] When generating the response parameter sample cluster, the target response parameter is collected once within a timestamp node stage, and a response parameter sample cluster is formed.

[0042] When comparing each target response parameter in the response parameter sample cluster with the preset magnetic transmission parameter type threshold in the magnetic transmission parameter detection sensor, the marked target response parameters and the timestamp node stage where the target response parameters are marked are selected, and a magnetic transmission gap adjustment feature sample cluster is formed.

[0043] As a preferred embodiment of the present invention, the specific implementation process of step S3 includes:

[0044] The magnetic drive parameter types and timestamp node stages are uniformly encoded. After the target response parameters are marked, the marked target response parameters and their corresponding timestamp node stages are identified by indexing the magnetic drive parameter type number and timestamp node stage number, thus forming the magnetic drive gap adjustment feature. And the magnetic drive gap adjustment feature Recorded into the magnetic drive gap adjustment feature sample cluster In the middle, and ,in, This represents the total number of magnetic drive parameter types. This represents the total number of timestamp node stages. and They represent the number respectively. Target response parameters and target response parameters corresponding to each magnetic drive parameter type Corresponding to the marked number Each timestamp node stage;

[0045] Evaluation of magnetic drive clearance characteristics based on magnetic drive parameter type thresholds response error coefficient In the formula, and The following are the numbers respectively: Lower and upper limits of the field values ​​for each type of magnetic drive parameter;

[0046] It should be noted that there is a dynamic relationship between the flywheel speed and the clearance of the magnetic non-contact transmission. When the speed increases, the centrifugal force of the flywheel increases, which leads to a change in the effective working distance of the magnetic transmission, thereby widening the transmission clearance. When the speed decreases, the centrifugal force decreases, and the transmission clearance will correspondingly shrink (or remain stable through magnetic force). The clearance adjustment characteristic U(Cx, Sy) is composed of the x-th type of magnetic transmission parameter Cx and its corresponding timestamp stage Sy, directly reflecting the actual state of clearance adjustment within a specific time period. The response error coefficient is calculated by comparing Cx with the upper and lower limits of the threshold (min). x ,max x The sum of absolute deviations of ) is then divided by the threshold range (max). x -min x The error response coefficient quantifies the degree to which parameters deviate from the normal range. This degree corresponds one-to-one with the degree to which the clearance deviates from the reasonable state, which helps to accurately assess the degree of abnormality in the clearance characteristics. Moreover, the changing trend of the error response coefficient directly reflects the changing trend of the clearance. For example, in adjacent time stamp stages, if the error coefficient of the later stage is greater than that of the earlier stage, it indicates that the clearance is widening (the parameter deviates further from the threshold), and the flywheel speed needs to be reduced to narrow the clearance. If the error coefficient of the later stage is less than that of the earlier stage, it indicates that the clearance is narrowing, and the speed needs to be increased to avoid the clearance being too small. If the coefficient remains unchanged, the speed is maintained. Through this logic, the error response coefficient can serve as the core basis for speed adjustment, realizing closed-loop control of "error trend - speed adjustment - clearance stability" to ensure that the clearance is always within a reasonable range.

[0047] As a preferred embodiment of the present invention, the specific implementation process of step S4 includes:

[0048] In the At each timestamp node stage, the flywheel drive execution module status is recorded as follows: In the At each timestamp node stage, the flywheel drive execution module status is recorded as follows: And the flywheel drive actuator status Status of flywheel drive actuator module The number of flywheels in the flywheel drive actuator module may be the same or different under the following circumstances;

[0049] The flywheel drive execution module status will be The resulting response error coefficient Marked as The flywheel drive execution module status will be The resulting response error coefficient Marked as ;

[0050] like This indicates the status of the flywheel drive actuator module. Switch to flywheel drive actuator mode If there is a tendency for the switching clearance to widen, the flywheel speed can be reduced by connecting a speed controller;

[0051] like This indicates the status of the flywheel drive actuator module. Switch to flywheel drive actuator mode If there is a trend of decreasing switching clearance, the flywheel speed can be increased by connecting a speed controller;

[0052] like This indicates the status of the flywheel drive actuator module. Switch to flywheel drive actuator mode If there is a tendency for the switching gap to remain unchanged, the flywheel speed can be kept constant by connecting a speed controller;

[0053] When all target response parameters are within the range of the magnetic drive parameter type threshold, the speed controller is interrupted.

[0054] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0055] This invention constructs a cluster of gap adjustment feature samples by associating target response parameters with timestamp node stages, accurately capturing the instantaneous state and evolution trajectory of gap adjustment anomalies, solving the problem that traditional technologies cannot trace the source of anomalies, and helping to achieve early prediction and proactive control of gap adjustment anomalies.

[0056] This invention is based on the upper and lower limits of the threshold values ​​of magnetic transmission parameters. It calculates the response error coefficient by the ratio of the sum of deviations to the threshold range, avoiding the subjectivity of traditional qualitative assessment and directly reflecting the degree of deviation between the gap adjustment and the normal state.

[0057] This invention automatically determines the trend of gap widening, decreasing or remaining unchanged by comparing the error coefficients of adjacent timestamp nodes, and adjusts the flywheel speed accordingly. It achieves real-time dynamic balance of gap without manual intervention, which helps to solve the technical problem of unstable gap caused by parameter fluctuations in non-contact transmission. Attached Figure Description

[0058] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof.

[0059] Figure 1 This is a schematic diagram illustrating the steps of a method for monitoring the response of a magnetic non-contact flywheel transmission with intelligent gap adjustment according to the present invention. Detailed Implementation

[0060] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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 skilled in the art without creative effort are within the scope of protection of the present invention.

[0061] In this first embodiment: a magnetic non-contact flywheel drive response monitoring system with intelligent gap adjustment is provided. The system includes: a target response parameter acquisition and marking module, a response parameter sample cluster construction module, a magnetic drive gap adjustment feature processing and error evaluation module, and a flywheel speed intelligent control module.

[0062] The target response parameter acquisition and marking module is used to acquire the target response parameters in the flywheel drive process, compare the target response parameters with the magnetic drive parameter type field value and mark the target response parameters, and record the timestamp node stage corresponding to the target response parameters.

[0063] Specifically, the target response parameter acquisition and marking module includes a parameter acquisition unit, a threshold comparison and marking unit, and a timestamp recording unit;

[0064] The parameter acquisition unit is used to acquire various target response parameters during the flywheel drive process through sensors;

[0065] The threshold comparison and marking unit is used to compare the collected target response parameters with the preset magnetic transmission parameter type threshold values ​​and mark the target response parameters that exceed the threshold value range.

[0066] The timestamp recording unit is used to configure the initial response timestamp and record the timestamp node stage when the target response parameter is marked.

[0067] The response parameter sample cluster construction module constructs response parameter sample clusters based on magnetic drive parameter types and timestamp node stages, filters target response parameters and corresponding timestamp node stages, and forms magnetic drive gap adjustment feature sample clusters.

[0068] Specifically, the response parameter sample cluster construction module includes a sample cluster construction unit, a label parameter association unit, and a gap adjustment feature sample cluster generation unit;

[0069] The sample cluster construction unit, based on the magnetic drive parameter type, collects target response parameters according to the time stamp node stage and constructs response parameter sample clusters;

[0070] The tag parameter association unit is used to associate the tagged target response parameter in the response parameter sample cluster with its corresponding timestamp node stage;

[0071] The gap adjustment feature sample cluster generation unit is used to integrate the associated target response parameters and timestamp node stages to form a magnetic drive gap adjustment feature sample cluster.

[0072] The magnetic drive gap adjustment feature processing and error evaluation module is used to encode the magnetic drive parameter type and timestamp node stage, construct the magnetic drive gap adjustment feature and record it into the magnetic drive gap adjustment feature sample cluster, and evaluate the response error coefficient of the gap adjustment feature.

[0073] Specifically, the magnetic drive gap adjustment feature processing and error evaluation module includes an encoding unit, a gap adjustment feature construction unit, and a response error coefficient calculation unit;

[0074] The encoding unit is used to uniformly encode the magnetic drive parameter types and timestamp node stages, and to establish index identifiers.

[0075] The gap adjustment feature construction unit is used to identify the target response parameters and corresponding timestamp node stages through the coding index, construct the magnetic drive gap adjustment features and record them into the gap adjustment feature sample cluster;

[0076] The response error coefficient calculation unit calculates the response error coefficient corresponding to each gap feature based on the preset magnetic transmission parameter type range.

[0077] The flywheel speed intelligent control module is used to judge the trend of the gap change based on the change of the response error coefficient between adjacent stages, and adjust the flywheel speed through the speed controller. When all target response parameters are normal, the speed controller connection is interrupted.

[0078] Specifically, the flywheel speed intelligent control module includes a status trend judgment unit, a speed adjustment unit, and a speed controller interruption unit;

[0079] The status trend judgment unit is used to compare the response error coefficients of adjacent timestamp nodes to judge the gap change trend when the flywheel drive execution module switches states.

[0080] The speed adjustment unit is used to adjust the flywheel speed according to the trend of the gap change through the speed controller, including reducing, increasing or maintaining the speed.

[0081] The speed controller interruption unit is used to interrupt the speed controller's connection when all target response parameters are within the preset magnetic drive parameter type range.

[0082] Please see Figure 1In this second embodiment, a method for monitoring the response of a magnetic non-contact flywheel transmission with intelligent gap adjustment is provided to be applicable to the first embodiment. This embodiment takes a large flywheel power station using three sets of parallel magnetic non-contact flywheel transmission systems as a scenario. Each set contains two flywheels (driving wheel + driven wheel) to convert mechanical energy into electrical energy. The transmission gap is required to be maintained at 0.5-1.5mm, and the transmission efficiency is ≥95%. The gap adjustment status needs to be monitored in real time to avoid a decrease in power generation efficiency or equipment damage due to abnormal gap adjustment.

[0083] Wheel drive actuator: 3 sets, each set has 2 flywheels, rated speed 3000r / min;

[0084] Magnetic drive parameter types (W=4): Magnetic strength (unit: mT), transmission torque (unit: N·m), speed difference (unit: r / min), temperature (unit: ℃);

[0085] Magnetic transmission parameter type ranges: magnetic intensity, min1=80mT, max1=120mT; transmission torque, min2=50N・m, max2=80N・m; speed difference, min3=0r / min, max3=5r / min; temperature, min4=25℃, max4=60℃;

[0086] Response timestamp: Initialize configuration with 10 timestamp nodes, divided into 9 timestamp node phases (M=9), each phase lasting 10 seconds;

[0087] The method includes the following steps:

[0088] Step S1: Collect the target response parameters during the flywheel drive process, compare them with the preset magnetic drive parameter type thresholds, mark the parameters that exceed the threshold range, and record the timestamp node when the parameter is marked.

[0089] For example, a sensor for detecting magnetic transmission parameters installed in the flywheel drive execution module is used to collect target response parameters during the transmission process. Each target response parameter corresponds to a type of magnetic transmission parameter. The target response parameter is compared with a preset magnetic transmission parameter type range in the magnetic transmission parameter detection sensor. If the target response parameter is not within the range of the magnetic transmission parameter type range, the target response parameter is marked. If the target response parameter is within the range of the magnetic transmission parameter type range, the target response parameter is not marked.

[0090] Before marking the target response parameters, configure the initial response timestamp, which contains several timestamp nodes; based on the initial response timestamp, when marking the target response parameters, record the timestamp node stage of the target response parameters being marked, and the timestamp node stage consists of two consecutive adjacent timestamp nodes.

[0091] For example, by installing four dedicated sensors on each flywheel drive execution module, four types of target response parameters are collected in real time. At a certain stage, the magnetic force intensity of the first flywheel is 135mT (exceeding the threshold of 80-120mT). This parameter is marked, and its time stamp node stage y=3 (between the 3rd and 4th time stamp nodes) is recorded. Among the other parameters, the transmission torque is 65N・m (normal), the speed difference is 3r / min (normal), and the temperature is 45℃ (normal).

[0092] Step S2: Based on the magnetic drive parameter type and timestamp node stage, construct a response parameter sample cluster, filter out the marked parameters and corresponding timestamp node stages, and form a magnetic drive gap adjustment feature sample cluster;

[0093] For example, when collecting target response parameters during the transmission process, a response parameter sample cluster is constructed based on the magnetic transmission parameter type, and one magnetic transmission parameter type corresponds to one target response parameter. Each target response parameter indexed by each magnetic transmission parameter type constitutes a set of response parameter samples, and a set of response parameter samples is recorded in the response parameter sample cluster.

[0094] When generating response parameter sample clusters, the target response parameters are collected once within a timestamp node stage, and a response parameter sample cluster is formed.

[0095] When comparing each target response parameter in the response parameter sample cluster with the preset magnetic transmission parameter type threshold in the magnetic transmission parameter detection sensor, the marked target response parameters and the timestamp node stage where the target response parameters are marked are selected, and a magnetic transmission gap adjustment feature sample cluster is formed.

[0096] For example, based on 4 types of parameters and 9 timestamp stages, a sample cluster of response parameters is constructed. Each stage collects parameters once to form a sample cluster. The labeled magnetic intensity parameters and the corresponding stage y=3 are selected to form a gap adjustment feature sample cluster.

[0097] Step S3: Unify the encoding of magnetic drive parameter types and timestamp node stages, construct magnetic drive gap adjustment features and record them in the gap adjustment feature sample cluster, and evaluate the response error coefficient of the gap adjustment feature.

[0098] For example, the magnetic drive parameter type and timestamp node stage are uniformly encoded. After the target response parameter is marked, the marked target response parameter and the corresponding timestamp node stage are identified by the index of the magnetic drive parameter type number and the timestamp node stage number, thus forming the magnetic drive gap adjustment feature. And the magnetic drive gap adjustment feature Recorded into the magnetic drive gap adjustment feature sample cluster In the middle, and ,in, This represents the total number of magnetic drive parameter types. This represents the total number of timestamp node stages. and They represent the number respectively. Target response parameters and target response parameters corresponding to each magnetic drive parameter type Corresponding to the marked number Each timestamp node stage;

[0099] Evaluation of magnetic drive clearance characteristics based on magnetic drive parameter type thresholds response error coefficient In the formula, and The following are the numbers respectively: Lower and upper limits of the field values ​​for each type of magnetic drive parameter;

[0100] For example, the parameter type is encoded (x=1-4) and the timestamp stage is encoded (y=1-9), and the gap feature U(C1, S3) (C1=135mT, S3 is the third stage) is constructed, recorded in the sample cluster V, and the response error coefficient F(C1, S3)=(|135-80|+|135-120|) / (120-80)=(55+15) / 40=1.75 is calculated.

[0101] Step S4: Based on the change in response error coefficient of adjacent timestamp nodes, determine the trend of gap change when the flywheel drive execution module switches states, adjust the flywheel speed through the speed controller, and interrupt the connection of the speed controller when all target response parameters are within the preset threshold range.

[0102] For example, in the first At each timestamp node stage, the flywheel drive execution module status is recorded as follows: In the At each timestamp node stage, the flywheel drive execution module status is recorded as follows: And the flywheel drive actuator status Status of flywheel drive actuator module The number of flywheels in the flywheel drive actuator module may be the same or different under the following circumstances;

[0103] The flywheel drive execution module status will be The resulting response error coefficient Marked as The flywheel drive execution module status will be The resulting response error coefficient Marked as ;

[0104] like This indicates the status of the flywheel drive actuator module. Switch to flywheel drive actuator mode If there is a tendency for the switching clearance to widen, the flywheel speed can be reduced by connecting a speed controller;

[0105] like This indicates the status of the flywheel drive actuator module. Switch to flywheel drive actuator mode If there is a trend of decreasing switching clearance, the flywheel speed can be increased by connecting a speed controller;

[0106] like This indicates the status of the flywheel drive actuator module. Switch to flywheel drive actuator mode If there is a tendency for the switching gap to remain unchanged, the flywheel speed can be kept constant by connecting a speed controller;

[0107] When all target response parameters are within the range of the magnetic drive parameter type threshold, the speed controller connection is interrupted.

[0108] For example, based on the scenario of "excessive clearance", we analyze the error coefficient, trend determination, and speed adjustment logic:

[0109] If the transmission backlash is too large, a speed governor can be used to reduce the speed in order to reduce the backlash.

[0110] Parameter characteristics: lower limit of magnetic force intensity 80mT, lower limit of transmission torque 50N・m, speed difference / temperature is basically normal (or slightly abnormal).

[0111] In stage 5 (T5), a magnetic field strength of 72 mT was collected (below the lower limit), and the error coefficient was calculated. ;

[0112] Stage 6 (T6): Load fluctuations caused the gap to widen further. Magnetic intensity was measured at 68 mT, and the error coefficient was calculated. ;

[0113] Error trend determination This indicates a trend of widening gaps (the effect is further away from the parameter deviation);

[0114] The speed regulator reduces the flywheel speed from 3000 r / min to 2900 r / min, thereby reducing the gap and increasing the magnetic strength.

[0115] Stage 7 (T7): Magnetic intensity of 85mT is collected, and the error coefficient is calculated. After the magnetic force returned to normal, the gap stabilized at 1.3mm;

[0116] It is worth mentioning that, based on the importance of different types of magnetic drive parameters, each magnetic drive parameter can be adjusted gradually. If the speed difference deviates more significantly, the speed difference can be adjusted first. When each magnetic drive parameter reaches the effective acceptance range, the speed controller can be disconnected.

[0117] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0118] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for monitoring the response of a magnetic non-contact flywheel transmission with intelligent gap adjustment, characterized in that, The method includes the following steps: Step S1: Collect the target response parameters during the flywheel drive process, compare them with the preset magnetic drive parameter type thresholds, mark the parameters that exceed the threshold range, and record the timestamp node when the parameter is marked. Step S2: Based on the magnetic drive parameter type and timestamp node stage, construct a response parameter sample cluster, filter out the marked parameters and corresponding timestamp node stages, and form a magnetic drive gap adjustment feature sample cluster; Step S3: Unify the encoding of magnetic drive parameter types and timestamp node stages, construct magnetic drive gap adjustment features and record them in the gap adjustment feature sample cluster, and evaluate the response error coefficient of the gap adjustment feature. Step S4: Based on the change in response error coefficient of adjacent timestamp nodes, determine the trend of gap change when the flywheel drive execution module switches states, adjust the flywheel speed through the speed controller, and interrupt the connection of the speed controller when all target response parameters are within the preset threshold range. The specific implementation process of step S3 includes: The magnetic drive parameter types and timestamp node stages are uniformly encoded. After the target response parameters are marked, the marked target response parameters and their corresponding timestamp node stages are identified by indexing the magnetic drive parameter type number and timestamp node stage number, thus forming the magnetic drive gap adjustment feature. And the magnetic drive gap adjustment feature Recorded into the magnetic drive gap adjustment feature sample cluster In the middle, and ,in, This represents the total number of magnetic drive parameter types. This represents the total number of timestamp node stages. and They represent the number respectively. Target response parameters and target response parameters corresponding to each magnetic drive parameter type Corresponding to the marked number Each timestamp node stage; Evaluation of magnetic drive clearance characteristics based on magnetic drive parameter type thresholds response error coefficient In the formula, and The following are the numbers respectively: The lower and upper limits of the field values ​​for each magnetic drive parameter type.

2. The intelligent gap-adjusting magnetic non-contact flywheel transmission response monitoring method according to claim 1, characterized in that, The specific implementation process of step S1 includes: The target response parameters during the transmission process are collected by a sensor installed in the flywheel drive actuator module for detecting magnetic transmission parameters. Each target response parameter corresponds to a type of magnetic transmission parameter. The target response parameter is compared with a preset magnetic transmission parameter type range value in the magnetic transmission parameter detection sensor. If the target response parameter is not within the range value of the magnetic transmission parameter type, the target response parameter is marked. If the target response parameter is within the range value of the magnetic transmission parameter type, the target response parameter is not marked. Before marking the target response parameter, an initial response timestamp is configured, which contains several timestamp nodes. Based on the initial response timestamp, when marking the target response parameter, the timestamp node stage in which the target response parameter is marked is recorded, and the timestamp node stage consists of two consecutive adjacent timestamp nodes.

3. The intelligent gap-adjusting magnetic non-contact flywheel transmission response monitoring method according to claim 2, characterized in that, The specific implementation process of step S2 includes: When collecting target response parameters during the transmission process, a response parameter sample cluster is constructed based on the magnetic transmission parameter type, and one target response parameter corresponds to one magnetic transmission parameter type. Each target response parameter indexed by each magnetic transmission parameter type constitutes a set of response parameter samples, and the set of response parameter samples is recorded in the response parameter sample cluster. When generating the response parameter sample cluster, the target response parameter is collected once within a timestamp node stage, and a response parameter sample cluster is formed. When comparing each target response parameter in the response parameter sample cluster with the preset magnetic transmission parameter type threshold in the magnetic transmission parameter detection sensor, the marked target response parameters and the timestamp node stage where the target response parameters are marked are selected, and a magnetic transmission gap adjustment feature sample cluster is formed.

4. The intelligent gap-adjusting magnetic non-contact flywheel transmission response monitoring method according to claim 1, characterized in that, The specific implementation process of step S4 includes: In the At each timestamp node stage, the flywheel drive execution module status is recorded as follows: In the At each timestamp node stage, the flywheel drive execution module status is recorded as follows: And the flywheel drive actuator status Status of flywheel drive actuator module The number of flywheels in the flywheel drive actuator module may be the same or different under the following circumstances; The flywheel drive execution module status will be The resulting response error coefficient Marked as The flywheel drive execution module status will be The resulting response error coefficient Marked as ; like This indicates the status of the flywheel drive actuator module. Switch to flywheel drive actuator mode If there is a tendency for the switching clearance to widen, the flywheel speed can be reduced by connecting a speed controller; like This indicates the status of the flywheel drive actuator module. Switch to flywheel drive actuator mode If there is a trend of decreasing switching clearance, the flywheel speed can be increased by connecting a speed controller; like This indicates the status of the flywheel drive actuator module. Switch to flywheel drive actuator mode If there is a tendency for the switching gap to remain unchanged, the flywheel speed can be kept constant by connecting a speed controller; When all target response parameters are within the range of the magnetic drive parameter type threshold, the speed controller is interrupted.

5. A smart gap-adjusting magnetic non-contact flywheel drive response monitoring system, executing the smart gap-adjusting magnetic non-contact flywheel drive response monitoring method as described in any one of claims 1-4, characterized in that, The system includes: a target response parameter acquisition and labeling module, a response parameter sample cluster construction module, a magnetic drive gap adjustment feature processing and error evaluation module, and a flywheel speed intelligent control module; The target response parameter acquisition and marking module is used to acquire the target response parameters during the flywheel transmission process, compare the target response parameters with the magnetic transmission parameter type field value and mark the target response parameters, and at the same time record the timestamp node stage corresponding to the target response parameters. The response parameter sample cluster construction module constructs a response parameter sample cluster based on the magnetic drive parameter type and timestamp node stage, filters the target response parameters and corresponding timestamp node stages, and forms a magnetic drive gap adjustment feature sample cluster. The magnetic drive gap adjustment feature processing and error evaluation module is used to encode the magnetic drive parameter type and timestamp node stage, construct the magnetic drive gap adjustment feature and record it into the magnetic drive gap adjustment feature sample cluster, and evaluate the response error coefficient of the gap adjustment feature. The flywheel speed intelligent control module is used to determine the trend of the gap change based on the change of the response error coefficient in adjacent stages, adjust the flywheel speed through the speed controller, and disconnect the speed controller when all target response parameters are normal.

6. The intelligent gap-adjusting magnetic non-contact flywheel transmission response monitoring system according to claim 5, characterized in that, The target response parameter acquisition and marking module includes a parameter acquisition unit, a threshold comparison and marking unit, and a timestamp recording unit; The parameter acquisition unit is used to acquire various target response parameters during the flywheel transmission process through sensors; The threshold comparison marking unit is used to compare the collected target response parameters with the preset magnetic transmission parameter type threshold values ​​and mark the target response parameters that exceed the threshold value range. The timestamp recording unit is used to configure the initial response timestamp and record the timestamp node stage when the target response parameter is marked.

7. The intelligent gap-adjusting magnetic non-contact flywheel transmission response monitoring system according to claim 5, characterized in that, The response parameter sample cluster construction module includes a sample cluster construction unit, a label parameter association unit, and a gap adjustment feature sample cluster generation unit; The sample cluster construction unit collects target response parameters and constructs response parameter sample clusters according to the time stamp node stage, based on the magnetic drive parameter type. The tag parameter association unit is used to associate the tagged target response parameter in the response parameter sample cluster with its corresponding timestamp node stage; The gap adjustment feature sample cluster generation unit is used to integrate the associated target response parameters and timestamp node stages to form a magnetic drive gap adjustment feature sample cluster.

8. The intelligent gap-adjusting magnetic non-contact flywheel transmission response monitoring system according to claim 5, characterized in that, The magnetic drive gap adjustment feature processing and error evaluation module includes an encoding unit, a gap adjustment feature construction unit, and a response error coefficient calculation unit; The encoding unit is used to uniformly encode the magnetic drive parameter type and timestamp node stage, and establish an index identifier. The gap adjustment feature construction unit is used to identify the target response parameters and corresponding timestamp node stages through the encoding index, construct magnetic drive gap adjustment features and record them into the gap adjustment feature sample cluster; The response error coefficient calculation unit calculates the response error coefficient corresponding to each gap feature based on the preset magnetic transmission parameter type range.

9. The intelligent gap-adjusting magnetic non-contact flywheel transmission response monitoring system according to claim 5, characterized in that, The flywheel speed intelligent control module includes a status trend judgment unit, a speed adjustment unit, and a speed controller interruption unit. The state trend judgment unit is used to compare the response error coefficients of adjacent timestamp nodes to determine the gap change trend when the flywheel drive execution module switches states. The speed adjustment unit is used to adjust the flywheel speed according to the trend of the gap change by the speed regulator, including reducing, increasing or maintaining the speed. The speed controller interruption unit is used to interrupt the connection of the speed controller when all target response parameters are within the preset magnetic transmission parameter type range.

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