A method for detecting operation of a speed reducer based on multi-modal data and a speed reducer

Abstract

The application relates to a speed reducer operation detection method based on multi-modal data and a speed reducer, and relates to the field of speed reducer technology, which comprises the following steps: acquiring a speed reduction conversion ratio and a motor number in response to a conversion signal; obtaining corresponding motor power parameters through the motor number; calculating output power data according to the motor power parameters and the speed reduction conversion ratio; acquiring demand power data through a corresponding control panel of the speed reducer; calculating a power difference value according to the demand power data and the output power data; searching for a corresponding gear conversion group based on the power difference value to obtain a corresponding conversion power ratio; and calculating the output power data and the conversion power ratio to obtain final power data and outputting the final power data. The application has the effects of improving the accuracy of speed reducer power output and the reliability of detection.

Description

Technical Field

[0001] This invention relates to the field of speed reducer technology, and in particular to a speed reducer operation detection method and speed reducer based on multimodal data. Background Technology

[0002] In industrial production, intelligent manufacturing, and construction machinery, speed reducers, as core components of power transmission, directly determine the operational efficiency and safety level of the entire production line through their operational stability. Real-time and accurate monitoring of speed reducer operation, and early warning of potential faults, are crucial for ensuring the reliable operation of industrial transmission systems.

[0003] Currently, various gearbox operation testing solutions have emerged in the industry. Traditional testing methods often rely on monitoring a single parameter, such as monitoring the temperature rise of the gearbox using a temperature sensor, collecting vibration signals using a vibration sensor, or monitoring the drive motor current using a current sensor, combined with human experience to judge the operating status. While these solutions have achieved basic fault early warning to a certain extent and replaced the traditional mode of periodic shutdown and disassembly for testing, laying the foundation for reducing maintenance costs and improving testing efficiency.

[0004] Regarding the aforementioned technologies, during the operation of the reducer, sensors and other devices are used to collect images or environmental data to determine if any abnormalities exist. However, this ignores whether the power output from the motor, after being converted by the reducer, meets the requirements. Therefore, the accuracy of the reducer's power output needs to be improved. Summary of the Invention

[0005] In order to accurately and reliably output power, this invention provides a method for detecting the operation of a speed reducer based on multimodal data and a speed reducer.

[0006] In a first aspect, the present invention provides a method for detecting the operation of a speed reducer based on multimodal data, employing the following technical solution:

[0007] A method for detecting the operation of a speed reducer based on multimodal data includes:

[0008] Step S1: In response to the conversion signal, obtain the reduction conversion ratio and motor number;

[0009] Step S2: Obtain the corresponding motor power parameters through the motor number;

[0010] Step S3: Calculate the output power data based on the motor power parameters and the reduction ratio;

[0011] Step S4: Obtain the required power data through the control panel corresponding to the reducer;

[0012] Step S5: Calculate the power difference based on the demand power data and the output power data;

[0013] Step S6: Find the corresponding gear conversion set based on the power difference to obtain the corresponding conversion power ratio;

[0014] Step S7: Calculate the output power data and the conversion power ratio to obtain the final power data and output it.

[0015] By adopting the above technical solution, the output power data is obtained through the reduction conversion ratio and motor power parameters. Then, the corresponding gear conversion set is found by combining the required power data, and the output power data is further converted and adjusted so that the power can be output in accordance with the requirements. This avoids the problem of the output power being overly dependent on the motor and reducer for determination, and improves the accuracy of the output power and the reliability of the reducer detection.

[0016] Optionally, methods for calculating and outputting the final power data by combining the output power data with the conversion power ratio include:

[0017] Step S70: Calculate the converted power data by combining the output power data with the conversion power ratio;

[0018] Step S71: If the converted power data is consistent with the required power data, define the converted power data as the final power data and output it;

[0019] Step S72: If the conversion power data and the demand power data are inconsistent, calculate the conversion power difference based on the conversion power data and the demand power data;

[0020] Step S73: Calculate the power loss difference based on the conversion power difference and the power difference;

[0021] Step S74: Based on the power loss difference, find the corresponding gear conversion set again to obtain the power loss ratio;

[0022] Step S75: Calculate the output power data and the loss power ratio to obtain the loss power data and define it as the final power data output.

[0023] By adopting the above technical solution, the converted power data is calculated using the output power data and the conversion power ratio, and its consistency with the demand power data is verified. In case of inconsistency, the power loss deviation is accurately located by calculating the difference between the converted power and the difference between the lost power, and finally the final power data that matches the demand is obtained. This avoids the situation where the final output power does not meet the demand due to the power conversion deviation, and improves the accuracy of the final output power.

[0024] Optionally, methods for re-finding the corresponding gear set based on the power loss difference include:

[0025] Step S740: Real-time monitoring is performed using various sensors within the reducer to obtain various data and integrate them to form reducer parameters;

[0026] Step S741: Compare the reducer parameters with the preset parameter threshold range to obtain the changing parameters;

[0027] Step S742: When the variable parameter is not present, acquire gear speed data through the speed sensor of the gear conversion group;

[0028] Step S743: Compare the gear speed data with the preset standard gear data to analyze the cause of the gear abnormality;

[0029] Step S744: If the cause of the gear malfunction is a preset damage cause, find the same gear set based on the gear conversion set;

[0030] Step S745: If the cause of the gear abnormality is a preset jamming cause, search for the corresponding existing solution in the preset abnormality resolution database based on the jamming cause and execute it;

[0031] Step S746: When the variable parameters exist, find the corresponding gear conversion set again based on the power loss difference.

[0032] By adopting the above technical solution, the working conditions are distinguished by comparing the reducer parameters with the threshold. In the case of no parameter change, gear abnormalities are investigated and corresponding measures are taken. When there is a parameter change, the gear conversion group is matched based on the power loss difference. This avoids the adaptation defects of the single search logic to abnormal working conditions, solves the problem of power conversion failure caused by gear damage and jamming, and improves the pertinence and timeliness of gear conversion group matching.

[0033] Optionally, when varying parameters exist, methods for re-finding the corresponding gear set based on the power loss difference include:

[0034] Step S7460: Search for the corresponding cause of the anomaly in the preset anomaly parameter database based on the changed parameters;

[0035] Step S7461: If an abnormal cause exists, search for the corresponding system solution in the abnormality resolution database based on the abnormal cause and define it as an existing solution for execution;

[0036] Step S7462: If the cause of the abnormality does not exist, find the corresponding gear conversion set again based on the power loss difference;

[0037] Step S7463: Based on the changing parameters, generate an abnormal parameter format according to a preset standard format and output it.

[0038] By adopting the above technical solution, the corresponding abnormal cause is matched through the abnormal parameter database. For existing abnormal causes, the existing machine solution is directly retrieved and executed. When no abnormal cause exists, the gear conversion group is searched again based on the power loss difference. At the same time, the changed parameters are organized and output as abnormal parameters in a standard format. This avoids the delay in power adjustment caused by blindly searching for gear conversion groups, solves the problem of untimely power adaptation under abnormal working conditions, and improves the efficiency of matching the power loss difference with the gear conversion group.

[0039] Optionally, methods for generating and outputting abnormal parameter formats based on changing parameters according to a standard format include:

[0040] Step S74630: Extract the solution parameters of all stored solutions from the exception resolution database;

[0041] Step S74631: Sort the existing solutions according to the preset no-impact rules based on the solution parameters to obtain the solution ranking;

[0042] Step S74632: Output the stored solutions sequentially according to the solution order and execute them;

[0043] Step S74633: When all existing solutions have been executed, re-collect the reducer parameters and define them as reducer update parameters;

[0044] Step S74634: Compare the updated parameters of the reducer with the parameter threshold range to obtain the changed updated parameters;

[0045] Step S74635: If the changed update parameters exist, generate an abnormal parameter format based on the changed update parameters according to the standard format and output it.

[0046] By adopting the above technical solution, the parameters of the existing solutions are sorted and executed according to the rule of no impact. After all solutions have been executed, the parameters of the reducer are collected and compared again. Only when there are still changes and updated parameters are the standardized abnormal parameter format output. This avoids the blindness of directly outputting abnormal parameters before the solution is executed, solves the problem of too many invalid abnormal alarms, and improves the accuracy and reference value of abnormal parameter output.

[0047] Optionally, obtaining an existing solution also includes:

[0048] Step S74610: Collect corresponding air data through the air sensor of the reducer, the air data including internal air data and external air data;

[0049] Step S74611: Calculate the blowing parameters based on the air data and the preset ventilation area;

[0050] Step S74612: Develop a blowing plan based on the blowing parameters and the anomaly database;

[0051] Step S74613: Define the blower solution as an existing solution.

[0052] By adopting the above technical solution, internal and external air data are collected through the reducer air sensor, and the blowing parameters are calculated in combination with the ventilation area to form a blowing scheme. This scheme is then incorporated into the existing solution, avoiding the problem of neglecting abnormal gear operation caused by air factors such as temperature, humidity, and dust. This improves the comprehensiveness and adaptability of the existing solution.

[0053] Optionally, it also includes a method for implementing the blowing scheme, the method comprising:

[0054] Step S74614: Extract the abnormal parameters of the reducer parameters that require the blowing scheme from the abnormal database;

[0055] Step S74615: Obtain the blowing demand parameters based on the analysis of abnormal parameters and parameter threshold ranges;

[0056] Step S74616: If the blowing demand parameters are consistent with the blowing parameters, open the corresponding ventilation area to execute the blowing plan;

[0057] Step S74617: If the blowing demand parameters are inconsistent with the blowing parameters, adjust the blowing scheme according to the blowing demand parameters to obtain the blowing adjustment scheme and execute it.

[0058] By adopting the above technical solution, abnormal parameters suitable for the blowing scheme are extracted from the reducer parameters. Combined with the parameter threshold range analysis, the blowing demand parameters are obtained. Then, by comparing the demand parameters with the preset blowing parameters, the blowing scheme is executed or adjusted as needed. This avoids the problem of poor handling effect caused by blindly executing the blowing scheme and improves the effectiveness of abnormal handling based on air conditions.

[0059] Optionally, it also includes a method for finding the corresponding gear set if the same gear set does not exist, the method including:

[0060] Step S747: Based on the conversion power ratio corresponding to the gear conversion set, search downwards to obtain the efficient gear set;

[0061] Step S748: Extract abnormal gear sets and corresponding gear speed data from the high-efficiency gear set using a speed sensor and define them as abnormal speed data;

[0062] Step S749: Obtain the gear speed data of the gear conversion group through the speed sensor and define it as the speed data to be changed;

[0063] Step S750: Compare the abnormal speed data with the speed data to be replaced to obtain the same speed data;

[0064] Step S751: When equal speed data exists, define the abnormal gear set corresponding to the abnormal speed data as a substitute gear set and output it.

[0065] By adopting the above technical solution, when the same gear set is not available, a high-efficiency gear set is found by searching downwards based on the conversion power ratio of the gear conversion set. Then, by collecting and comparing abnormal speed data with the speed data to be replaced by a speed sensor, a matching replacement gear set is selected. This avoids equipment downtime caused by the lack of a spare gear set, solves the defect of insufficient replacement path for a single gear set, and improves the flexibility and emergency response capability of gear conversion set replacement.

[0066] Secondly, the present invention provides a speed reducer, which adopts the following technical solution:

[0067] A speed reducer, applied to a speed reducer operation detection method based on multimodal data as described above, includes a body, and further includes an input component disposed on the body, a worm gear disposed in the body for receiving and transmitting power, a worm wheel meshing with the worm gear to receive the power transmitted by the worm gear, and an output component disposed on the body.

[0068] The input component has an input interface for receiving and transmitting power, and the output component has an output interface for outputting the decelerated power.

[0069] By adopting the above technical solution, the input component, worm gear, worm wheel and output component are integrated into the machine body, and the input interface receives power and the output interface outputs deceleration power. It can be directly adapted to the aforementioned reducer operation detection method based on multimodal data, realize the integrated linkage of power transmission and operation status detection, avoid the structural redundancy problem caused by the additional installation of detection components, and improve the stability of reducer power transmission and the convenience of operation detection.

[0070] Optionally, it also includes a stepper motor disposed in the body, a first drive shaft fixedly connected to the worm gear to transmit power, a second drive shaft fixedly connected to the output interface to transmit power, and a gear set for adjusting and transmitting power.

[0071] The end of the second drive shaft furthest from the output interface is fixedly connected to the output shaft of the stepper motor.

[0072] By adopting the above technical solution, a stepper motor, dual drive shafts and gear conversion group are integrated into the machine body. The second drive shaft is fixedly connected to the output shaft and output end interface of the stepper motor respectively. At the same time, the power transmission between the worm gear and the gear conversion group is realized by relying on the first drive shaft. This avoids the transmission loss and structural complexity caused by external power adjustment components, and improves the response speed and accuracy of the reducer's power adjustment.

[0073] In summary, the present invention has at least one of the following beneficial technical effects:

[0074] 1. Obtain the motor power parameters through the motor number, then combine them with the reduction conversion ratio to obtain the output power data after reduction, and then further adjust the output power data based on the required power data to make the output power data perfectly meet the requirements. This avoids the situation where the output power data is overly dependent on the motor and reducer, and also avoids the problem of misjudging the reducer due to abnormal output power, thus improving the reliability of reducer detection and the accuracy of power output.

[0075] 2. By sorting the existing solutions and then executing them one by one on the reducer, some parameters of the reducer can be updated and re-collected when the anomaly cannot be identified. This avoids the problem of not being able to execute the solution when the anomaly cannot be found, and improves the flexibility of solution execution. Attached Figure Description

[0076] Figure 1 This is a structural diagram of a speed reducer according to an embodiment of this application;

[0077] Figure 2 This is an internal scene diagram of a speed reducer according to an embodiment of this application;

[0078] Figure 3 This is a flowchart of a speed reducer operation detection method based on multimodal data according to an embodiment of this application.

[0079] The parts referred to by the numbers in the above attached figures are as follows: 1. Body; 2. Input component; 3. Output component; 4. Input interface; 5. Output interface; 6. Worm gear; 7. Worm wheel; 8. First drive shaft; 9. Second drive shaft; 10. Stepper motor; 11. Gear set. Detailed Implementation

[0080] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.

[0081] This invention discloses a speed reducer. (Refer to...) Figure 1 and Figure 2 A speed reducer includes a body 1.

[0082] The main body 1 is equipped with an input component 2, an output component 3, a worm gear 6, and a worm wheel 7. The input component 2 has an input interface 4, which receives and transmits power. One end of the worm gear 6 is fixedly connected to the input interface 4 to transmit the power transmitted by the input interface 4. The worm wheel 7 meshes with the end of the worm gear 6 furthest from the input interface 4, and works with the worm gear 6 to achieve power reduction (downshifting and torque increase). The output component 3 has an output interface 5, which receives and outputs the reduced power.

[0083] The machine body 1 also houses a first drive shaft 8, a second drive shaft 9, a stepper motor 10, and a gear set 11. One end of the first drive shaft 8 is fixedly connected to the worm gear 7 to receive the power after reduction by the worm gear 6. One end of the second drive shaft 9 is fixedly connected to the output interface 5 to transmit power to the output interface 5. The stepper motor 10 is fixedly connected to the other end of the second drive shaft 9 to drive the second drive shaft 9 to move. The gear set 11 is divided into a first gear set and a second gear set. The first gear set contains several gears, all of which are fixedly connected to the first drive shaft 8. The second gear set contains several gears, all of which are fixedly connected to the second drive shaft 9. The gears in the first gear set and the gears in the second gear set can mesh with each other to transmit power.

[0084] When power enters the reducer from the input interface 4, the reducer adjusts the input power through the worm gear 7 and worm 6, and then outputs it to the first drive shaft 8 through the worm gear 7. Then, the system searches for the corresponding gear in the gear set 11 to form a gear conversion set according to the required power data and the output power data. The stepper motor 10 drives the second drive shaft 9 to move so that the two selected gears (gear conversion sets) mesh with each other. Then, the output power of the first drive shaft 8 is adjusted again through the meshing gears (gear conversion sets) and transmitted to the second drive shaft 9. Finally, it is output to the output interface 5, completing the power reduction operation.

[0085] Based on the same inventive concept, embodiments of the present invention provide a method for detecting the operation of a speed reducer based on multimodal data.

[0086] Reference Figure 3 A method for detecting the operation of a speed reducer based on multimodal data, comprising:

[0087] Step S1: In response to the conversion signal, obtain the reduction conversion ratio and motor number.

[0088] The conversion signal refers to the signal that will convert the power generated by the motor into a speed reduction signal via a reducer. The response here is that there is an electrical signal button on the reducer; pressing it triggers the response.

[0089] The reduction ratio refers to the ratio of the input speed to the output speed of the speed reducer. The reduction ratio is obtained by having a technician input the factory-set reduction ratio value of the speed reducer into the system beforehand. When the system receives a conversion signal, it automatically retrieves and matches the reduction ratio of the speed reducer. The motor serial number is a unique identifier for the drive motor connected to the speed reducer. The motor serial number is also obtained by having a technician input the serial number of the motor connected to the speed reducer into the system beforehand. When the motor is replaced, the technician similarly inputs the new motor serial number into the system. When the system receives a conversion signal, it automatically retrieves and matches the corresponding motor serial number.

[0090] Step S2: Obtain the corresponding motor power parameters through the motor number.

[0091] Motor power parameters refer to the set of core parameters characterizing the power output characteristics of a drive motor paired with a speed reducer during operation. These parameters include, but are not limited to, the motor's rated power, rated speed, rated torque, real-time input current, real-time output power, and power factor. These parameters are obtained by having skilled personnel input the relevant factory-set parameters corresponding to the motor's serial number into the system. When the system receives the motor serial number, it automatically retrieves and matches the corresponding motor power parameters.

[0092] Step S3: Calculate the output power data based on the motor power parameters and the reduction conversion ratio.

[0093] Output power data refers to the set of theoretical output power parameters calculated by the reducer based on the input motor power parameters and its own reduction ratio. This output power data includes, but is not limited to, the reducer's theoretical output speed, theoretical output torque, and theoretical output power. The calculation method for this output power data involves the system retrieving the acquired motor power parameters (such as real-time output speed and real-time output torque) and the reduction ratio. Based on the basic formula for power transmission in the reducer, each output power parameter is calculated separately. Specifically, theoretical output speed = real-time motor output speed divided by the reduction ratio; theoretical output torque = real-time motor output torque * reduction ratio * preset transmission efficiency coefficient; and theoretical output power = real-time motor output power * preset transmission efficiency coefficient. The system then integrates the calculated speed, torque, and power parameters to form complete output power data.

[0094] Step S4: Obtain the required power data through the control panel corresponding to the reducer.

[0095] Demand power data refers to the set of target power parameters that the reducer needs to achieve based on the load requirements of actual industrial production scenarios. These parameters include, but are not limited to, target output speed, target output torque, and target output power. This demand power data is obtained by setting up parameter input or retrieval interfaces on the reducer's control panel. Operators can directly input the corresponding target power parameters using panel buttons or a touchscreen according to the actual load requirements.

[0096] Step S5: Calculate the power difference based on the demand power data and the output power data.

[0097] The power difference refers to the set of differences between the required power data and the output power data of the reducer, specifically the corresponding power parameter items. The power difference is calculated as follows: the system matches the acquired required power data and output power data one by one according to parameter type, and calculates the difference by subtraction for each corresponding parameter item such as speed, torque, and power.

[0098] Step S6: Find the corresponding gear conversion set based on the power difference to obtain the corresponding conversion power ratio.

[0099] A gear conversion set refers to a gear that can further adjust the output power data, making it more compatible with the required power data. The search method here is that different power differences correspond to different gear conversion sets. Experts in the field pre-test the adjustable power difference values ​​for each gear conversion set and input them into the system. When the system receives the power difference value, it automatically searches for and matches the corresponding gear conversion set. The conversion power ratio refers to the ratio of the output power data to the required power data. This is obtained because different gear conversion sets have different conversion power ratios. Experts in the field pre-test the conversion power ratio corresponding to each gear conversion set and input it into the system. When the system finds a gear conversion set, it automatically searches for and matches the corresponding conversion power ratio and outputs it.

[0100] Step S7: Calculate the output power data and the conversion power ratio to obtain the final power data and output it.

[0101] The final power data refers to the set of actual target power parameters of the reducer that more closely matches the required power data. The final power data is calculated by the system retrieving the acquired output power data and the matched conversion power ratio, and then calculating each power parameter based on preset correction formulas. For example: corrected output speed = theoretical output speed in the output power data * conversion power ratio; corrected output torque = theoretical output torque in the output power data * conversion power ratio, etc. The output is provided by the system through the display module or communication interface of the reducer control panel.

[0102] The methods for calculating the final power data by combining the output power data with the conversion power ratio and then outputting the final power data include:

[0103] Step S70: Calculate the output power data and the conversion power ratio to obtain the conversion power data.

[0104] The converted power data refers to the power data after adjustment via the gear conversion set. The method used to obtain this data is the same as described in step S7, and will not be repeated here.

[0105] Step S71: If the converted power data is consistent with the required power data, define the converted power data as the final power data and output it.

[0106] If the converted power data matches the required power data, it means that the power data converted by the gear conversion set has reached the required power data. Therefore, the converted power data is defined as the final power data and output.

[0107] Step S72: If the conversion power data and the demand power data are inconsistent, calculate the conversion power difference based on the conversion power data and the demand power data.

[0108] The conversion power difference refers to the set of differences between the corresponding power parameter items in the conversion power data and the demand power data. The conversion power difference is calculated by the system matching the conversion power data and the demand power data one-to-one according to parameter type, and performing subtraction operations on similar parameters such as speed, torque, and power. For example: speed conversion difference = target output speed minus converted output speed; torque conversion difference = target output torque minus converted output torque, etc.

[0109] If the converted power data is inconsistent with the demand power data, it indicates that there may be an abnormality in the reducer. However, in order to output the demand power data, the difference in converted power is calculated based on the converted power data and the demand power data.

[0110] Step S73: Calculate the power loss difference based on the conversion power difference and the power difference.

[0111] The power loss difference refers to the set of differences between the power difference and the converted power difference. Here, the power loss difference is calculated by adding the converted power difference to the power difference.

[0112] Step S74: Find the corresponding gear conversion set again based on the power loss difference to obtain the power loss ratio.

[0113] The loss power ratio refers to the transmission ratio value of the gear set 11 adapted to the loss power difference. The method for obtaining this is the same as described in step S6, and will not be repeated here.

[0114] Step S75: Calculate the output power data and the loss power ratio to obtain the loss power data and define it as the final power data output.

[0115] Loss power data refers to the final set of power parameters obtained by calculating and correcting the output power data of the reducer with the loss power ratio to accurately match the required power data. The method for calculating the final power data here is the same as that described in step S7, and will not be repeated here.

[0116] The method for re-finding the corresponding gear set based on the power loss difference includes:

[0117] Step S740: Real-time monitoring is performed using various sensors within the reducer to obtain various data and integrate them to form reducer parameters.

[0118] Gearbox parameters refer to the set of data reflecting the gearbox's operating status, collected in real time by various sensors inside the gearbox and integrated by the system. The method for acquiring and integrating these parameters involves deploying corresponding sensors (such as speed sensors, torque sensors, temperature sensors, vibration sensors, and oil quality sensors) at various key locations within the gearbox. Each sensor collects and monitors data in real time and transmits it to the system. The system then filters, calibrates, and classifies the received multi-source sensor data, ultimately forming a set of gearbox parameters including data on speed, torque, operating temperature, vibration frequency, and lubricating oil viscosity.

[0119] Step S741: Compare the reducer parameters with the preset parameter threshold range to obtain the changing parameters.

[0120] The parameter threshold range refers to the set of allowable fluctuation ranges for various parameters used to determine whether the reducer's operating status is normal. These parameter threshold ranges are determined in advance by personnel skilled in the art based on the reducer's manufacturer's technical manual, industry standards, and actual operating conditions, and then input into the system. Varying parameters refer to the set of abnormal parameters that exceed the parameter threshold range. These changing parameters are obtained by the system comparing real-time collected and integrated reducer parameters (such as operating temperature, vibration frequency, and speed deviation) one by one with the parameter threshold ranges. Parameters with values ​​higher than the upper threshold or lower than the lower threshold are selected, categorized and labeled according to type (e.g., abnormal temperature, abnormal vibration), and integrated to form the changing parameter set.

[0121] Step S742: When the variable parameter is not present, the gear speed data is obtained through the speed sensor of the gear conversion group.

[0122] Gear speed data refers to the set of rotational speed parameters of the gear conversion group inside the reducer. This gear speed data is acquired by the system through speed sensors corresponding to the gear conversion group (e.g., Hall effect speed sensors, photoelectric speed sensors, etc.).

[0123] If the variable parameter is not present, it indicates that the problem is not with the reducer, but rather with gear damage. To further confirm this, the gear speed data is obtained through the speed sensor of the gear conversion group.

[0124] Step S743: Compare the gear speed data with the preset standard gear data to analyze the cause of the gear abnormality.

[0125] Standard gear data refers to the set of reference parameters for gear speeds of the gear conversion set under normal operating conditions. This standard gear data is obtained by those skilled in the art who pre-determine the corresponding standard data (e.g., rotational speed, operating temperature) for different gear sets 11, then classify and integrate them before inputting them into the system. Gear anomaly causes refer to various fault factors that cause the gear conversion set's operating state to deviate from normal operating conditions, such as: excessive gear temperature, missing teeth, tooth surface wear, abnormal meshing clearance, gear jamming, etc. The analysis of gear anomaly causes involves the system comparing the real-time collected gear speed data with the preset standard gear data parameter by parameter to obtain the difference. Different differences correspond to different gear anomaly causes. Those skilled in the art obtain the corresponding causes of various damages through experiments and integrate them into the system. When the system acquires gear speed data, it automatically compares it with the standard gear data to retrieve the corresponding gear anomaly cause.

[0126] Step S744: If the cause of the gear malfunction is a preset damage cause, find the same gear set based on the gear conversion set.

[0127] The cause of damage refers to the set of gear failure factors that lead to irreversible damage to the gear conversion assembly and cannot be eliminated by adjustment. The cause of damage is obtained by those skilled in the art through the differentiation of experimentally obtained gear abnormality causes, and those causing irreversible damage and unable to be eliminated by adjustment are identified as the causes of damage.

[0128] A matching gear set refers to an undamaged gear conversion set whose standard data is identical to that of the gear conversion set. The method for finding a matching gear set is as follows: after determining that the gear malfunction is due to damage, the system extracts the standard data (such as gear module, number of teeth, transmission ratio, installation dimensions, etc.) of the currently faulty gear conversion set, and then retrieves gear conversion sets that perfectly match this standard data and are in good condition as the matching gear set output.

[0129] If the cause of the gear abnormality is damage, it means that the power conversion is not up to standard due to gear breakage. Therefore, the same gear set should be found based on the gear conversion set.

[0130] Step S745: If the cause of the gear abnormality is a preset jamming cause, search for the corresponding existing solution in the preset abnormality resolution database based on the jamming cause and execute it.

[0131] The causes of jamming refer to a set of fault factors that cause obstruction of rotation, sudden drop in speed, or stagnation during the operation of the gear conversion assembly, but do not cause irreversible damage to the gears. The method for obtaining the causes of jamming here is for those skilled in the art to distinguish the abnormal gear causes obtained from experiments, and to consider causes such as obstruction of rotation, sudden drop in speed, or stagnation as jamming causes.

[0132] Existing solutions refer to the operational procedures that the reducer can resolve on its own. The method for finding existing solutions here is that the system directly searches the anomaly resolution database for a matching solution based on the cause of the jamming and defines it as an existing solution. The anomaly resolution database stores the mapping relationship between gear anomaly causes and existing solutions. Solutions to various anomalies are obtained through numerous experiments by those skilled in the art. Then, based on the solutions that the reducer can resolve, existing solutions are determined and input into the anomaly resolution database. When the system receives a jamming cause, it searches the anomaly resolution database for the corresponding existing solution based on the jamming cause and executes it. The execution method for existing solutions here is that after the system retrieves an existing solution matching the jamming cause, it sends corresponding control commands to the reducer's actuators (such as the lubrication system, obstacle removal mechanism, and clearance adjustment module) according to the operational procedures and parameter thresholds in the solution, triggering actions sequentially to achieve execution, such as: grease filling, foreign object purging, and meshing clearance fine adjustment.

[0133] If the cause of the gear abnormality is jamming, it means that the gears are stuck or worn, preventing them from rotating normally. Therefore, based on the cause of jamming, the system searches for the corresponding existing solution in the preset abnormality solution database and executes it.

[0134] Step S746: When the variable parameters exist, find the corresponding gear conversion set again based on the power loss difference.

[0135] When variable parameters exist, it indicates that the reducer itself is malfunctioning. In order to ensure that the output power data meets the required power data, the corresponding gear conversion set should be searched again based on the power loss difference.

[0136] Among them, the method for re-finding the corresponding gear set based on the power loss difference when the changing parameters exist includes:

[0137] Step S7460: Search for the corresponding cause of the anomaly in the preset anomaly parameter database based on the changed parameters.

[0138] Anomalies are defined as various fault causes that lead to the reducer's operating parameters exceeding preset threshold ranges. The method for finding anomalies involves identifying different causes for different abnormal parameters. Personnel skilled in the art, based on their experience or through multiple experiments, determine the abnormal (change) parameters at various times, integrate this information, and input it into an anomaly parameter database. When the system receives a changed parameter, it automatically searches the database for the corresponding anomaly cause and outputs it. The anomaly parameter database stores the mapping relationship between changed parameters and anomalies. Personnel skilled in the art obtain the anomalies corresponding to various changed parameters through multiple experiments and integrate them into the database.

[0139] Step S7461: If an abnormal cause exists, search for the corresponding system solution in the abnormality resolution database based on the abnormal cause and define it as an existing solution for execution.

[0140] The "mechanical solution" refers to the set of operations and procedures by which the reducer can resolve abnormal operating parameters on its own. The method for finding the mechanical solution here is the same as the method for finding existing solutions described in step S745; the found solution is defined as the mechanical solution. The execution method here is also the same as described in step S745, and will not be repeated here.

[0141] If the cause of the abnormality exists, it means that a solution can be sought to restore the abnormality in the reducer to the normal range. Therefore, the corresponding machine solution is searched in the abnormality solution database and defined as an existing solution for execution.

[0142] Step S7462: If the cause of the abnormality does not exist, find the corresponding gear conversion set again based on the power loss difference.

[0143] If no abnormal cause exists, it means that the cause of the abnormality of the reducer cannot be determined by the parameters. In order to meet the required power data, the corresponding gear conversion group should be searched again based on the power loss difference.

[0144] Step S7463: Based on the changing parameters, generate an abnormal parameter format according to a preset standard format and output it.

[0145] A standard format refers to a structured data template used to standardize the recording and output of abnormal parameters of a speed reducer. This standard format is obtained by professionals in the field who, based on the needs of speed reducer fault diagnosis and data management, determine the core elements of the abnormal parameter output (such as abnormal parameter type, parameter value, over-limit range, occurrence time, and corresponding gear number), formulate a structured template according to a unified field order, data unit, and expression rules, and input it into the system. An abnormal parameter format refers to a standardized and normalized abnormal parameter record text or data message formed after the changing parameters are structured and organized according to the standard format. This abnormal parameter format is formed by the system first extracting all the information of the determined changing parameters, then filling in the core elements such as abnormal parameter type, parameter value, over-limit range, occurrence time, and corresponding gear number according to the field order specified in the standard format. Subsequently, the data in each field is standardized and validated, data units are unified, numerical precision is standardized, and the basis for the parameter over-limit judgment is marked. Finally, the system integrates and encapsulates the structured data according to a preset format (text table or data message) to obtain the abnormal parameter format. The abnormal parameter format output method here is that the system fills in the core elements of the changing parameters (abnormal parameter type, parameter value, over-limit amplitude, occurrence time, and corresponding gear number) in a structured manner according to the standard format, generates a standardized abnormal parameter report, and then outputs it locally through the display module of the reducer control panel.

[0146] The methods for generating and outputting abnormal parameter formats based on changing parameters according to a standard format include:

[0147] Step S74630: Extract the solution parameters of all existing solutions from the exception resolution database.

[0148] Solution parameters refer to a set of characteristic data that characterizes the core operational content, execution conditions, and effect verification indicators of existing solutions and system solutions. The extraction method for solution parameters here involves the system retrieving all existing solutions and system solutions stored in the anomaly database, extracting the core characteristic data corresponding to each solution, including the operation object, execution steps, key control parameters, applicable fault types, and effect judgment thresholds. This data is then categorized and summarized according to unified rules to form a set of solution parameters.

[0149] Step S74631: Sort the existing solutions according to the preset no-impact rules based on the solution parameters to obtain the solution ranking.

[0150] The "no-impact rule" refers to a priority ranking criterion used to ensure that when multiple solutions are executed sequentially, the operation of a preceding solution will not interfere with, conflict with, or negate the implementation effect of subsequent solutions. This no-impact rule is obtained by professionals in the field who, based on the operation types, mechanisms of action, and execution logic of existing solutions and system solutions, identify mutually non-interfering execution sequences to avoid effect conflicts caused by improper ordering. These non-interfering execution order rules are then integrated into the no-impact rule and entered into the system. For example, the system might execute the system temperature adjustment solution first, then the system cooling solution, and finally the lubricant replenishment solution. Solution ranking refers to the ordered execution sequence formed by the system prioritizing existing solutions and system solutions according to the no-impact rule. This solution ranking is obtained by the system extracting parameters from all matching existing solutions and system solutions in the problem resolution database, prioritizing and ranking each solution according to the operation order logic specified in the no-impact rule, and determining the execution order to obtain the solution ranking.

[0151] Step S74632: Output the stored solutions in order of sorting and execute them.

[0152] The output method for the existing solutions is that the system, based on the generated solution sorting list, transmits the core information such as operation instructions, parameter thresholds, and execution time of each solution sequentially to the corresponding actuators via the reducer's control module, according to the execution order. The execution method for the existing solutions is that after receiving the operation instructions, parameter thresholds, and execution time information from the system, the actuators initiate the corresponding actions according to the sorting order of the solutions.

[0153] Step S74633: When all existing solutions have been executed, re-collect the reducer parameters and define them as reducer update parameters.

[0154] The speed reducer update parameters refer to the latest set of parameters obtained by the system after re-collecting the operating status of the entire speed reducer and gear conversion assembly. The speed reducer update parameters are collected by activating all monitoring sensors (speed sensors, temperature sensors, vibration sensors, etc.) after all existing solutions have been executed. This allows for comprehensive collection of core operating parameters such as speed, operating temperature, vibration amplitude, and load current of the speed reducer. The collected real-time data is then filtered, calibrated, and integrated to form the speed reducer update parameters.

[0155] Once all existing solutions have been executed, it indicates that a series of repairs have been performed on the speed reducer. To determine if there is a solution to resolve the speed reducer's anomaly, the speed reducer parameters are re-collected and defined as speed reducer update parameters.

[0156] Step S74634: Compare the updated parameters of the reducer with the parameter threshold range to obtain the changed updated parameters.

[0157] The variable update parameters refer to the set of parameters that, after comparison with the preset parameter threshold range, still exceed the threshold range or fail to meet the standard requirements. These variable update parameters are obtained by the system comparing the collected gearbox update parameters with parameter threshold ranges (such as standard speed range, temperature safety threshold, and allowable vibration amplitude) one by one, extracting parameters whose values ​​still exceed the upper threshold, fall below the lower threshold, or deviate from the standard value. These parameters are then marked and integrated into the variable update parameters.

[0158] Step S74635: If the changed update parameters exist, generate an abnormal parameter format based on the changed update parameters according to the standard format and output it.

[0159] If the changed update parameters exist, it means that a series of repair operations on the reducer cannot make the reducer work normally. Therefore, based on the changed update parameters, an abnormal parameter format is generated according to the standard format and output.

[0160] Among these, existing solutions also include:

[0161] Step S74610: Collect corresponding air data through the air sensor of the reducer.

[0162] Air data refers to the set of air state parameters related to the operating environment and internal cavity of the speed reducer. This air data includes both internal and external air data. The air data is collected by air sensors configured to control the speed reducer, which collect parameters from both the internal cavity and the external installation environment. Internal air data includes parameters such as temperature, humidity, dust concentration, and air pressure within the cavity, while external air data includes parameters such as temperature, humidity, and particulate matter content of the surrounding environment.

[0163] Step S74611: Calculate the blowing parameters based on the air data and the preset ventilation area.

[0164] The ventilation area refers to a pre-designed structural area on the reducer body for air circulation to achieve heat dissipation or dust removal. This includes air inlets, outlets, heat dissipation ducts, and internal airflow channels. The ventilation area is obtained by those skilled in the art who, based on the reducer's structural design, the distribution of heat-generating components, and airflow dynamics principles, determine the air inlet and outlet positions, duct direction, and effective flow area of ​​the reducer body. The dimensions, locations, and quantities of these structural areas for air exchange are then entered into the system. The airflow parameters refer to the set of core technical parameters used to control the operation of the ventilation actuators, calculated based on air data and the characteristics of the ventilation area to achieve the reducer's heat dissipation or dust removal goals. The calculation method for the blowing parameters here is to couple and analyze the collected internal air data (temperature, humidity, dust concentration), external air data (temperature, humidity, airflow speed, air pressure value) with the structural parameters of the ventilation area (inlet or outlet area, air duct direction, flow resistance, window opening and closing stroke). Based on the heat dissipation requirements or dust removal objectives, the pressure difference between the internal and external environments of the reducer is determined first. If the internal and external pressure difference meets the conditions for autonomous airflow, the opening and closing angle, opening and closing sequence, and single opening and closing duration of the ventilation window are calculated. If the internal and external pressure difference is insufficient, supplementary parameters such as the fan's operating power and wind speed are calculated. Finally, these parameters are integrated into a set of blowing parameters.

[0165] Step S74612: Form a blowing plan based on the blowing parameters and the anomaly database.

[0166] A blowing scheme refers to a standardized airflow control execution plan for the current operating state of the reducer. The blowing scheme is formed by the system comparing the calculated blowing parameters (including ventilation window opening and closing parameters, differential pressure utilization strategies, or fan operating parameters) with the ventilation handling rules corresponding to the fault types (such as high temperature, dust accumulation) in the anomaly database. It then retrieves validated airflow control logic from the database (such as prioritizing natural ventilation, starting the fan when the differential pressure is insufficient, multi-duct coordinated ventilation strategies, etc.), integrates the blowing parameters with the handling rules, clarifies the execution steps, parameter thresholds, start / stop conditions, and effect verification standards, and ultimately forms a complete blowing scheme that includes the executing entity, operation sequence, parameter boundaries, and effect judgment criteria.

[0167] Step S74613: Define the blower solution as an existing solution.

[0168] Solutions that rely on natural ventilation are also considered existing solutions.

[0169] This also includes a method for implementing the blowing scheme, which includes:

[0170] Step S74614: Extract the abnormal parameters of the reducer parameters that require the air blowing scheme from the abnormal database.

[0171] Abnormal parameters refer to the set of core operating and environmental parameters that exceed the standard threshold range during the operation of the reducer and require handling through a blowing scheme (ventilation, heat dissipation, and dust removal). The method for extracting abnormal parameters here involves those skilled in the art pre-classifying and inputting various blowing-related parameters into the system. When the system receives a blowing scheme, it automatically retrieves and matches all reducer parameters related to the blowing scheme that exceed the threshold to obtain the abnormal parameters.

[0172] Step S74615: Obtain the blowing demand parameters based on the analysis of abnormal parameters and parameter threshold ranges.

[0173] Airflow demand parameters refer to the set of core quantitative parameters used to clarify the ventilation, heat dissipation, or dust removal goals and execution intensity. These airflow demand parameters are obtained by the system performing difference calculations and demand matching analysis on extracted abnormal parameters (such as excessive internal temperature, excessive dust concentration, and internal / external air pressure differences) and their corresponding parameter threshold ranges. This determines the core target parameters of the airflow scheme and integrates these quantitative parameters into airflow demand parameters. Examples include: target cooling rate (the difference between the current temperature and the safety threshold), target dust removal efficiency (the proportion of dust concentration exceeding the standard), minimum required air pressure difference (the pressure difference threshold to meet natural ventilation requirements), and airflow duration (the ventilation duration required to achieve the target effect).

[0174] Step S74616: If the air blowing demand parameters are consistent with the air blowing parameters, open the corresponding ventilation area to execute the air blowing plan.

[0175] The execution method here is that the system issues action commands to the corresponding execution modules (window opening and closing mechanism, valve control components, etc.), and accurately opens the specified air inlet, air outlet or airflow channel according to the opening and closing angle, opening and closing sequence and single opening and closing duration in the air blowing parameters. The air pressure difference between the inside and outside environment of the reducer drives the natural airflow to execute the air blowing plan.

[0176] If the required airflow parameters match the airflow parameters, it means that the airflow parameters can perfectly execute the airflow plan. Therefore, the corresponding ventilation area is opened to execute the airflow plan.

[0177] Step S74617: If the blowing demand parameters are inconsistent with the blowing parameters, adjust the blowing scheme according to the blowing demand parameters to obtain the blowing adjustment scheme and execute it.

[0178] The airflow adjustment scheme refers to an adaptive airflow control execution scheme formed by modifying the parameters and execution strategies of the original airflow scheme according to actual airflow requirements. The airflow adjustment scheme is obtained by using inconsistent parameter items (such as mismatch between the target cooling range and the initial wind speed, or mismatch between the required air pressure difference and the window opening / closing angle) as the core correction basis to dynamically modify the key aspects of the original airflow scheme. The execution method here is consistent with that described in step S74616 and will not be repeated here.

[0179] If the blowing demand parameters are inconsistent with the blowing parameters, it means that directly implementing the blowing plan may damage the reducer. Therefore, the blowing plan should be adjusted according to the blowing demand parameters to obtain the blowing adjustment plan and then implemented.

[0180] This also includes a method for finding the corresponding gear conversion set when the same gear set does not exist. This method includes:

[0181] Step S747: Based on the conversion power ratio corresponding to the gear conversion group, search downwards to obtain the efficient gear set.

[0182] A high-efficiency gear set refers to a set of gear combinations whose conversion power ratio is lower than the current gear conversion group's conversion power ratio, selected through a downward search. The high-efficiency gear set is obtained by the system extracting all conversion power ratio data of the reducer's gear conversion groups, determining the current gear conversion group's conversion power ratio as the search benchmark, initiating a downward search algorithm, traversing the gear conversion group database, and extracting all gear combinations with conversion power ratios lower than the benchmark threshold. The basis for this downward search is that since the conversion power ratio is the ratio of output power data to demand power data, the larger the ratio, the smaller the actual power obtained after conversion; therefore, a smaller conversion ratio results in greater actual power, which leads to the search for a high-efficiency gear set.

[0183] Step S748: Extract abnormal gear sets and corresponding gear speed data from the high-efficiency gear set using a speed sensor and define them as abnormal speed data.

[0184] Abnormal gear sets refer to gear combinations selected from the high-efficiency gear set whose gear speed data deviates from the standard speed threshold range, or whose speed fluctuation exceeds the allowable range for normal operation. The extraction method for abnormal gear sets involves the system collecting real-time speed data of each gear group in the high-efficiency gear set using speed sensors. The collected speed data is then compared group by group with the standard speed thresholds (including the upper speed limit, lower speed limit, and stable operating fluctuation range). Gear combinations whose speed exceeds the upper threshold, falls below the lower threshold, or whose instantaneous speed fluctuation exceeds the allowable range are selected as abnormal gear sets. Abnormal speed data refers to the set of real-time speed data that corresponds one-to-one with the abnormal gear set and deviates from the standard speed threshold range or whose fluctuation exceeds the allowable range. The extraction method for abnormal speed data involves the system collecting speed data of all gears within the high-efficiency gear set using speed sensors, and then integrating the speed information of the gear sets identified as abnormal to form abnormal speed data.

[0185] Step S749: Obtain the gear speed data of the gear conversion group through the speed sensor and define it as the speed data to be changed.

[0186] The speed data to be changed refers to the standard speed data of the current gear shifter. This speed data is obtained by the system directly retrieving the standard speed data corresponding to the current gear shifter.

[0187] Step S750: Compare the abnormal speed data with the speed data to be replaced to obtain the same speed data.

[0188] Equivalent speed data refers to the set of speed data whose values ​​fall within the standard range of the speed data to be replaced. The equivalent speed data is obtained by the system using the rated speed benchmark value and stable operating fluctuation range in the speed data to be replaced as comparison standards, and matching the absolute value of the speed and the fluctuation amplitude per unit time of the abnormal speed data one by one with them, and extracting all speed data that fall within the standard range of the speed data to be replaced.

[0189] Step S751: When equal speed data exists, define the abnormal gear set corresponding to the abnormal speed data as a substitute gear set and output it.

[0190] A substitute gear set refers to a gear conversion set within an abnormal gear set whose abnormal speed data matches the speed data to be replaced. The substitute gear set is obtained by the system searching the high-efficiency gear set for marked abnormal gear sets and their corresponding abnormal speed data. Then, the abnormal speed data is matched one-to-one with the speed data to be replaced (standard speed data of the gear conversion set) to obtain an abnormal gear set whose abnormal speed data is completely consistent with the speed data to be replaced. The substitute gear set is output by the system transmitting the relevant data to each actuator for subsequent gear replacement operations. When identical speed data exists, it indicates that the output power data can reach the required power data by using other gears. Therefore, the abnormal gear set corresponding to this abnormal speed data is defined as a substitute gear set and output.

[0191] The above description is merely a preferred embodiment of the present invention, and the scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principle of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for detecting the operation of a speed reducer based on multimodal data, characterized in that, include: Step S1: In response to the conversion signal, obtain the reduction conversion ratio and motor number; Step S2: Obtain the corresponding motor power parameters through the motor number; Step S3: Calculate the output power data based on the motor power parameters and the reduction ratio; Step S4: Obtain the required power data through the control panel corresponding to the reducer; Step S5: Calculate the power difference based on the demand power data and the output power data; Step S6: Find the corresponding gear conversion set based on the power difference to obtain the corresponding conversion power ratio; Step S7: Calculate the output power data and the conversion power ratio to obtain the final power data and output it.

2. The method for detecting the operation of a speed reducer based on multimodal data according to claim 1, characterized in that, Methods for calculating and outputting final power data by combining the output power data with the conversion power ratio include: Step S70: Calculate the converted power data by combining the output power data with the conversion power ratio; Step S71: If the converted power data is consistent with the required power data, define the converted power data as the final power data and output it; Step S72: If the conversion power data and the demand power data are inconsistent, calculate the conversion power difference based on the conversion power data and the demand power data; Step S73: Calculate the power loss difference based on the conversion power difference and the power difference; Step S74: Based on the power loss difference, find the corresponding gear conversion set again to obtain the power loss ratio; Step S75: Calculate the output power data and the loss power ratio to obtain the loss power data and define it as the final power data output.

3. The method for detecting the operation of a speed reducer based on multimodal data according to claim 2, characterized in that, The methods for re-finding the corresponding gear set based on the power loss difference include: Step S740: Real-time monitoring is performed using various sensors within the reducer to obtain various data and integrate them to form reducer parameters; Step S741: Compare the reducer parameters with the preset parameter threshold range to obtain the changing parameters; Step S742: When the variable parameter is not present, acquire gear speed data through the speed sensor of the gear conversion group; Step S743: Compare the gear speed data with the preset standard gear data to analyze the cause of the gear abnormality; Step S744: If the cause of the gear malfunction is a preset damage cause, find the same gear set based on the gear conversion set; Step S745: If the cause of the gear abnormality is a preset jamming cause, search for the corresponding existing solution in the preset abnormality resolution database based on the jamming cause and execute it; Step S746: When the variable parameters exist, find the corresponding gear conversion set again based on the power loss difference.

4. The method for detecting the operation of a speed reducer based on multimodal data according to claim 3, characterized in that, When varying parameters exist, the methods for re-finding the corresponding gear set based on the power loss difference include: Step S7460: Search for the corresponding cause of the anomaly in the preset anomaly parameter database based on the changed parameters; Step S7461: If an abnormal cause exists, search for the corresponding system solution in the abnormality resolution database based on the abnormal cause and define it as an existing solution for execution; Step S7462: If the cause of the abnormality does not exist, find the corresponding gear conversion set again based on the power loss difference; Step S7463: Based on the changing parameters, generate an abnormal parameter format according to a preset standard format and output it.

5. The method for detecting the operation of a speed reducer based on multimodal data according to claim 4, characterized in that, Methods for generating and outputting abnormal parameter formats based on changing parameters according to a standard format include: Step S74630: Extract the solution parameters of all stored solutions from the exception resolution database; Step S74631: Sort the existing solutions according to the preset no-impact rules based on the solution parameters to obtain the solution ranking; Step S74632: Output the stored solutions sequentially according to the solution order and execute them; Step S74633: When all existing solutions have been executed, re-collect the reducer parameters and define them as reducer update parameters; Step S74634: Compare the updated parameters of the reducer with the parameter threshold range to obtain the changed updated parameters; Step S74635: If the changed update parameters exist, generate an abnormal parameter format based on the changed update parameters according to the standard format and output it.

6. The method for detecting the operation of a speed reducer based on multimodal data according to claim 4, characterized in that, Obtaining existing solutions also includes: Step S74610: Collect corresponding air data through the air sensor of the reducer, the air data including internal air data and external air data; Step S74611: Calculate the blowing parameters based on the air data and the preset ventilation area; Step S74612: Develop a blowing plan based on the blowing parameters and the anomaly database; Step S74613: Define the blower solution as an existing solution.

7. The method for detecting the operation of a speed reducer based on multimodal data according to claim 6, characterized in that, It also includes a method for implementing the blowing scheme, which includes: Step S74614: Extract the abnormal parameters of the reducer parameters that require the blowing scheme from the abnormal database; Step S74615: Obtain the blowing demand parameters based on the analysis of abnormal parameters and parameter threshold ranges; Step S74616: If the blowing demand parameters are consistent with the blowing parameters, open the corresponding ventilation area to execute the blowing plan; Step S74617: If the blowing demand parameters are inconsistent with the blowing parameters, adjust the blowing scheme according to the blowing demand parameters to obtain the blowing adjustment scheme and execute it.

8. The method for detecting the operation of a speed reducer based on multimodal data according to claim 3, characterized in that, It also includes a method for finding the corresponding gear set if the same gear set does not exist, the method including: Step S747: Based on the conversion power ratio corresponding to the gear conversion set, search downwards to obtain the efficient gear set; Step S748: Extract abnormal gear sets and corresponding gear speed data from the high-efficiency gear set using a speed sensor and define them as abnormal speed data; Step S749: Obtain the gear speed data of the gear conversion group through the speed sensor and define it as the speed data to be changed; Step S750: Compare the abnormal speed data with the speed data to be replaced to obtain the same speed data; Step S751: When equal speed data exists, define the abnormal gear set corresponding to the abnormal speed data as a substitute gear set and output it.

9. A speed reducer, applied to a speed reducer operation detection method based on multimodal data as described in any one of claims 1 to 8, comprising a body (1), characterized in that: It also includes an input component (2) on the body (1), a worm (6) inside the body (1) for receiving and transmitting power, a worm wheel (7) meshing with the worm (6) to receive the power transmitted by the worm (6), and an output component (3) on the body (1). The input component (2) is provided with an input terminal interface (4) for receiving and transmitting power, and the output component (3) is provided with an output terminal interface (5) for outputting the decelerated power.

10. A speed reducer according to claim 9, characterized in that: It also includes a stepper motor (10) installed in the body (1), a first drive shaft (8) fixedly connected to the worm gear (7) to transmit power, a second drive shaft (9) fixedly connected to the output interface (5) to transmit power, and a gear set (11) for adjusting and transmitting power. The end of the second drive shaft (9) away from the output interface (5) is fixedly connected to the output shaft of the stepper motor (10).

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