A transmission device for a heating network circulation pump

Abstract

This application relates to a transmission device for a heating network circulation pump, specifically in the field of permanent magnet speed controllers. The device includes a wound permanent magnet speed controller, a vibration sensor, a temperature sensor, a microphone, and a controller. The controller acquires current, vibration data, temperature, and audio signals from the windings of the wound permanent magnet speed controller within a preset time period. It then performs comprehensive analysis of the vibration data, temperature, and audio signals. Based on the historical rotational speed of the circulation pump, it analyzes the heating network demand value for a future period. The controller also analyzes the vibration data, temperature, and audio signals to identify abnormal operating values ​​of the wound permanent magnet speed controller. Combining these abnormal operating values ​​with the heating network demand value, the controller makes a judgment, thereby achieving a more efficient and accurate prediction of whether the permanent magnet speed controller can meet the heating network demand for a future period.

Description

Technical Field

[0001] This application relates to the field of permanent magnet speed controllers, and more particularly to a drive mechanism for a heating network circulating pump. Background Technology

[0002] In heating networks, ensuring a stable supply of hot water and meeting heating demands is crucial. In these networks, the flow rate of hot water is primarily controlled by a circulating pump, and the motor's speed is adjusted via a wound-type permanent magnet speed controller to meet the network's requirements. The wound-type speed controller is connected to the circulating pump to transmit the adjusted power. However, due to prolonged operation, the likelihood of malfunctions in the wound-type permanent magnet speed controller increases with operating time, potentially leading to a failure to meet subsequent heating demands. Currently, regular inspections by staff are used to assess the operating status of the winding-type permanent magnet speed controller and predict its ability to meet the network's heating needs for the foreseeable future. However, this method is inefficient and inaccurate. Summary of the Invention

[0003] In order to more efficiently and accurately predict whether the operating status of the winding permanent magnet speed controller can meet the heating demand of the heating network in the future, this application provides a transmission device for a heating network circulating pump.

[0004] The transmission device for a heating network circulation pump provided in this application adopts the following technical solution:

[0005] A drive mechanism for a heating network circulation pump includes:

[0006] A winding-type permanent magnet speed controller includes a permanent magnet outer rotor, a permanent magnet, and a winding inner rotor. The permanent magnet outer rotor is connected to the motor output shaft, and the winding inner rotor is connected to a circulating pump.

[0007] Vibration sensors are used to collect vibration data during the operation of wound permanent magnet speed controllers.

[0008] Temperature sensor is used to collect the temperature during operation of the wound permanent magnet speed controller;

[0009] A microphone is used to collect audio signals during the operation of a wound permanent magnet speed controller.

[0010] The controller is connected in communication with the winding permanent magnet speed controller, vibration sensor, temperature sensor and microphone to acquire the current, vibration data, temperature and audio signals of the winding in the winding permanent magnet speed controller within a preset time period.

[0011] The preset time period is divided into multiple time intervals according to the current flowing through the rotor windings in the windings, and the sub-operational anomaly value of each time interval is determined based on the vibration data, audio signal and temperature of each time interval.

[0012] The overall operational anomaly value of the winding permanent magnet speed controller is determined based on the sub-operational anomaly values ​​of each time interval, the current, vibration data, temperature and audio signals of the preset time period.

[0013] Acquire historical speed data of the circulating pump, and determine the average speed and peak speed for each time period based on the historical speed data;

[0014] The heating network demand value for each time period is determined based on the average speed and peak speed, and the heating network demand value for the current time period and the heating network demand value for the next time period are also determined.

[0015] Based on the sub-operational anomaly values, overall operational anomaly values, current heating network demand values, and next heating network demand values ​​for each time interval, it is determined whether the winding-type permanent magnet speed controller meets the heating network demand for the current and next time periods.

[0016] By adopting the above technical solution, the motor speed is fixed. The motor drives the permanent magnet outer rotor to rotate, and the permanent magnet outer rotor generates an induced electromagnetic field. The induced electromagnetic field interacts with the permanent magnetic field of the permanent magnet, driving the inner rotor to rotate, which in turn drives the circulating pump to rotate, supplying current to the windings of the inner rotor, thereby adjusting the speed of the inner rotor and achieving speed regulation. The winding-type permanent magnet speed controller generates vibration, heat, and sound during operation. Therefore, vibration sensors, temperature sensors, and microphones are used to collect vibration data, temperature, and audio signals. The controller acquires these three types of data. Since the current supplied to the winding-type permanent magnet speed controller changes according to demand, the controller divides the preset time period into multiple time intervals based on the current. Furthermore, since these three types of data characterize the specific operating conditions of the winding-type permanent magnet speed controller, the controller comprehensively analyzes these three types of data to determine the sub-operational anomaly value for each time interval. Based on vibration data, temperature, audio signals, and sub-operational anomalies within a preset time period, the controller comprehensively determines the operational anomaly value that more accurately characterizes the degree of operational anomaly of the wound permanent magnet speed controller within the preset time period. It acquires historical speed data of the circulating pump and determines the average and peak speeds for each time period. Both average and peak speeds characterize the demand of the heating network. Therefore, the controller determines the heating network demand value for each time period based on the average and peak speeds, and also determines the heating network demand value for the current time period and the next time period. Finally, based on the operational anomaly value of the wound permanent magnet speed controller, the heating network demand value for the current time period, and the heating network demand value for the next time period, the controller can accurately analyze whether the wound permanent magnet speed controller can meet the heating network demand for the current and next time periods. This achieves a more efficient and accurate prediction of whether the operating status of the wound permanent magnet speed controller can meet the heating network's heating demand in the future.

[0017] Optionally, when different currents are applied to the windings on the rotor, the wound permanent magnet speed controller will have different preset audio signals during operation. Based on the sub-operational anomaly values ​​for each time interval, the current, vibration data, temperature, and audio signals for the preset time period, the overall operational anomaly values ​​of the wound permanent magnet speed controller are determined, including:

[0018] The amplitude values ​​are determined from the vibration data, and the mean and variance of the amplitude values ​​are also determined.

[0019] The first outlier of the vibration data is determined based on the mean amplitude and variance of the amplitude.

[0020] Determine the preset audio signal corresponding to the current, and determine the second abnormal value of the audio signal based on the preset audio signal and the audio signal;

[0021] Determine the average and maximum temperature values, and identify the third temperature outlier based on the average and maximum temperature values.

[0022] The overall operational anomaly value of the winding-type permanent magnet speed governor is determined based on the sub-operational anomaly value, the first anomaly value, the second anomaly value, and the third anomaly value for each time interval.

[0023] Optionally, determining a second outlier in the audio signal based on a preset audio signal and the audio signal includes:

[0024] The preset audio signal is compared with the audio signal to identify inconsistent audio segments and to determine the number of inconsistent audio segments.

[0025] Determine the first similarity between each inconsistent audio segment and the corresponding audio segment in the time domain of the preset audio signal;

[0026] Determine the temporal distance between any two inconsistent audio segments that are in adjacent states, and calculate the variance of all temporal distances;

[0027] Determine the harmonics of the audio signal and the harmonics of the preset audio signal, and determine the second similarity between the audio signal and the preset audio signal;

[0028] The second outlier of the audio signal is determined based on the number of inconsistent audio segments, the first similarity, the variance, and the second similarity.

[0029] Optionally, the overall operational anomaly value of the winding-type permanent magnet speed governor is determined based on the sub-operational anomaly value, the first anomaly value, the second anomaly value, and the third anomaly value for each time interval, including:

[0030] Determine the sum of all sub-runaway values;

[0031] The overall operational anomaly value of the winding-type permanent magnet speed controller is determined based on the sum, the first anomaly, the second anomaly, the third anomaly, and their respective coefficients.

[0032] Optionally, the heating network demand for each time period can be determined based on the average speed and peak speed, including:

[0033] Determine the duration of the peak speed in each time period, and determine the first product of the peak speed and the duration;

[0034] The product of the average rotational speed and the first product is determined to obtain the second product, which represents the heating network demand value for each time period.

[0035] Optionally, based on the sub-operational anomaly value of each time interval, the overall operational anomaly value, the heating network demand value of the current time period, and the heating network demand value of the next time period, it is determined whether the winding-type permanent magnet speed governor meets the heating network demand of the current time period and the next time period, including:

[0036] The changing trend of sub-running anomalies is determined based on the sub-running anomalies in each time interval;

[0037] If the trend is upward, then determine the rate of increase of the sub-running anomaly.

[0038] Determine the first difference between the overall operational anomaly value and the preset anomaly threshold, and determine the ratio of the first difference to the rate of increase;

[0039] The threshold of heating network demand that the winding-type permanent magnet speed controller can meet is determined based on the ratio.

[0040] Determine the duration from the current moment to the next time period, and determine the first proportion of this duration to the total duration of the current time period;

[0041] Multiply the first proportion by the current period's heating network demand value to obtain the third product. Then, sum the third product with the heating network demand value for the next period to obtain the total heating network demand value.

[0042] If the total demand value of the heating network does not reach the heating network demand threshold, then it is determined whether the winding permanent magnet speed controller can meet the heating network demand for the current time period and the next time period.

[0043] Optionally, sub-operational anomaly values ​​for each time interval are determined based on vibration data, audio signals, and temperature for each time interval, including:

[0044] The amplitude value was extracted from the vibration data for each time interval;

[0045] Determine the average amplitude within each time interval, and determine the second difference between the average amplitude and the preset amplitude threshold corresponding to each time interval, wherein the preset amplitude threshold is the amplitude threshold corresponding to the current in each time interval;

[0046] The audio signal is compared with the preset audio signal corresponding to the current in each time interval to determine the inconsistent audio segments in each time interval, and the duration of the inconsistent audio segments and the second proportion of the corresponding time interval are determined.

[0047] Determine the average temperature within each time interval, and determine the third difference between the average temperature and the preset temperature threshold corresponding to each time interval. The preset temperature threshold is the temperature threshold corresponding to the current in each time interval.

[0048] The sub-operational anomaly value for each time interval is determined based on the second difference, the second proportion, the third difference, and their respective coefficients.

[0049] Optionally, if the overall abnormal value reaches the preset abnormal threshold, the controller will output the first prompt message.

[0050] Optionally, if the heating network demand for the current time period and the next time period is not met, the controller will output a second prompt message.

[0051] Optionally, when the third abnormal value reaches the preset abnormal value threshold, the controller controls the cooling fan to run.

[0052] In summary, this application includes at least one of the following beneficial technical effects:

[0053] The motor operates at a fixed speed, driving the permanent magnet outer rotor to rotate. This outer rotor generates an induced electromagnetic field, which interacts with the permanent magnetic field of the permanent magnet, causing the inner rotor to rotate. This, in turn, drives the circulating pump, supplying current to the inner rotor's windings, thus regulating its speed. The winding-type permanent magnet speed controller generates vibration, heat, and sound during operation. Therefore, vibration sensors, temperature sensors, and a microphone are used to collect vibration data, temperature, and audio signals. The controller acquires these three data points. Since the current supplied to the winding-type permanent magnet speed controller varies depending on demand, the controller divides a preset time period into multiple time intervals based on the current. Because these three data points characterize the specific operating conditions of the winding-type permanent magnet speed controller, the controller comprehensively analyzes these three data points to determine the sub-operational anomaly value for each time interval, and then adjusts the preset time interval accordingly. By comprehensively analyzing vibration data, temperature, audio signals, and sub-operational anomalies within each time interval, a more accurate abnormal value characterizing the degree of abnormal operation of the winding permanent magnet speed controller within a preset time period is determined. Historical speed data of the circulating pump is acquired, and the average and peak speeds for each time period are determined. Both average and peak speeds characterize the demand of the heating network. Therefore, the controller determines the heating network demand value for each time period based on the average and peak speeds, and determines the heating network demand value for the current time period and the next time period. Finally, based on the abnormal operation value of the winding permanent magnet speed controller, the heating network demand value for the current time period, and the heating network demand value for the next time period, the controller can accurately analyze whether the winding permanent magnet speed controller can meet the heating network demand for the current and next time periods. This achieves a more efficient and accurate prediction of whether the operating status of the winding permanent magnet speed controller can meet the heating network's heating demand for a future period of time. Attached Figure Description

[0054] Figure 1 This is a schematic diagram of the transmission device of a heat network circulation pump according to an embodiment of this application.

[0055] Figure 2 This is a schematic diagram illustrating the steps of the controller in this application to determine whether the permanent magnet speed regulator can meet the requirements of the heating network.

[0056] Explanation of reference numerals in the attached diagram: 1. Vibration sensor; 2. Temperature sensor; 3. Microphone; 4. Controller; 5. Cooling fan. Detailed Implementation

[0057] The present application will be further described in detail below with reference to the accompanying drawings.

[0058] This application discloses a transmission device for a heating network circulation pump.

[0059] Reference Figure 1A transmission device for a heating network circulating pump includes a wound permanent magnet speed regulator, a vibration sensor 1 disposed in the housing of the wound permanent magnet speed regulator, a temperature sensor 2 disposed inside the wound permanent magnet speed regulator, a microphone 3 disposed in the housing of the wound permanent magnet speed regulator, and a controller 4. The structural diagram of the wound permanent magnet speed regulator is not shown, and the wound permanent magnet speed regulator is existing technology. It should be understood that the wound permanent magnet speed regulator includes a cylindrical permanent magnet outer rotor, with permanent magnets disposed on the inner wall of the outer rotor. An inner rotor is disposed inside the outer rotor. The output shaft of a motor is fixedly connected to the outer permanent magnet rotor. The motor drives the outer permanent magnet rotor to rotate, generating an induced electromagnetic field. The interaction between the induced electromagnetic field and the permanent magnetic field of the permanent magnets drives the inner rotor to rotate. Different magnitudes of current are supplied to the windings of the inner rotor to adjust its speed, thereby changing the speed of the circulating pump and achieving speed regulation.

[0060] Reference Figure 1 and Figure 2 The controller 4 is connected to the vibration sensor 1, temperature sensor 2, and microphone 3 via wires to ensure that the controller 4 can accurately and efficiently predict whether the operating status of the wound permanent magnet speed controller can meet the heating demand of the heating network in the future. The controller 4 can be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. The controller 4 can also be a combination that implements computing functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0061] Reference Figure 2 The controller 4 executes steps S101, S102, S103, S104, S105, and S106, wherein...

[0062] S101, acquire the current, vibration data, temperature and audio signal of the winding in the winding-type permanent magnet speed controller within a preset time period.

[0063] In this embodiment, the data collected by vibration sensor 1, temperature sensor 2, etc., can be stored in the local storage medium of controller 4 or in a cloud server. Controller 4 is connected to the cloud server via wires to store vibration data, temperature, and audio signals, enabling controller 4 to acquire vibration data, temperature, and audio signals emitted during the operation of the wound permanent magnet speed controller over a preset time period. Controller 4 is connected to the control cabinet that regulates the current in the windings via wires, enabling controller 4 to acquire the magnitude of the current in the windings. The preset time period can be the past seven days, the past half month, or the past month, etc.

[0064] S102, the preset time period is divided into multiple time intervals according to the current flowing through the rotor winding in the winding, and the sub-operational abnormal value of each time interval is determined based on the vibration data, audio signal and temperature of each time interval.

[0065] In the embodiments of this application, the wound-type permanent magnet speed controller will vibrate during operation. Excessive vibration may cause malfunction of the wound-type permanent magnet speed controller, thus failing to meet subsequent heating demands. Audio signals characterize the sounds emitted by the wound-type permanent magnet speed controller during operation; abnormal sounds indicate a potential malfunction in the winding-type permanent magnet speed controller, which may also fail to meet subsequent heating demands. During operation, the wound-type permanent magnet speed controller dissipates heat, causing its temperature to rise. Excessively high temperatures indicate a potential malfunction in the winding-type permanent magnet speed controller, which may also fail to meet subsequent heating demands. Because the current in the windings varies, the operating conditions of the winding-type permanent magnet speed controller also differ. The vibrations, audio signals, and temperatures emitted by the winding-type permanent magnet speed controller during operation are also different. Therefore, the controller 4 divides the preset time period according to the current magnitude. That is, each adjustment of the current corresponds to a time interval. The vibration data, audio signals, and temperatures in each time interval are the specific operating performance of the winding-type permanent magnet speed controller within that time interval. Therefore, the controller 4 can accurately determine the sub-operational abnormal values ​​of each time interval by comprehensively analyzing the vibration data, audio signals, and temperatures in each time interval.

[0066] S103 determines the overall abnormal operating value of the winding permanent magnet speed controller based on the sub-operational abnormal values ​​of each time interval, the current, vibration data, temperature and audio signals of the preset time period.

[0067] In this embodiment of the application, vibration data over a preset time period characterizes the overall vibration performance of the wound permanent magnet speed controller within that preset time period; temperature data over a preset time period characterizes the overall temperature performance of the wound permanent magnet speed controller within that preset time period; and audio signals over a preset time period characterize the specific sound emitted by the wound permanent magnet speed controller within that preset time period. Therefore, after determining the sub-operational anomaly value for each time interval, the controller 4 combines the aforementioned three types of data, including vibration data, to comprehensively determine the overall operational anomaly value of the wound permanent magnet speed controller within the preset time period.

[0068] S104: Obtain historical speed data of the circulating pump, and determine the average speed and peak speed for each time period based on the historical speed data.

[0069] In this embodiment, a speed sensor can be installed on the circulating pump to collect its rotational speed. The collected speed data can be stored in local storage or a cloud server. The controller 4 can retrieve historical speed data of the circulating pump from the local storage or cloud server. The operator can divide a 24-hour day into multiple time periods, for example, dividing it into 12 time periods of two hours each. Historical speed data includes historical speed data from previous days; therefore, the controller 4 determines the speed data for each time period within the daily historical speed data, and then averages the historical speed data for each time period to obtain the average speed. Next, all peak speeds are determined from the speed data for each time period, and then the average of all peak speeds is calculated. Using the average of all peak speeds to represent the peak speed of each time period is more accurate.

[0070] S105, determine the heating network demand value for each time period based on the average speed and peak speed, and determine the heating network demand value for the current time period and the heating network demand value for the next time period.

[0071] In this embodiment, the average rotational speed represents the overall rotational speed level for each time period, i.e., the overall heating network demand. The peak rotational speed represents the maximum rotational speed level for each time period, i.e., the maximum heating network demand for each time period. The heating network demand value representing the heating network demand for each time period can be accurately determined based on the average and peak rotational speeds of the circulating pump for each time period. The controller 4 is equipped with a local clock, so the controller 4 can obtain the current time, and thus determine the heating network demand value for the current time period and the heating network demand value for the next time period, which is equivalent to the heating demand over a future period.

[0072] S106, based on the sub-operational anomaly value of each time interval, the overall operation anomaly value, the heating network demand value of the current time period and the heating network demand value of the next time period, determine whether the winding permanent magnet speed controller meets the heating network demand of the current time period and the next time period.

[0073] In the embodiments of this application, the sub-operational anomaly value and the overall operational anomaly value of each time interval are key factors affecting whether the heating demand can be met in the subsequent period. Therefore, the controller 4 can accurately and efficiently analyze whether the winding permanent magnet speed regulator meets the heating network demand in the current period and the next period by making a comprehensive judgment based on the sub-operational anomaly value and the overall operational anomaly value, combined with the heating network demand value of the current period and the heating network demand value of the next period.

[0074] In one possible implementation of this application embodiment, when different currents are applied to the windings on the rotor within the windings, the wound-type permanent magnet speed controller corresponds to different preset audio signals during operation. Step S103 determines the overall operational anomaly value of the wound-type permanent magnet speed controller based on the sub-operational anomaly value of each time interval, the current, vibration data, temperature, and audio signals of the preset time period. Specifically, this includes steps S1031 (not shown in the figure), S1032 (not shown in the figure), S1033 (not shown in the figure), S1034 (not shown in the figure), and S1035 (not shown in the figure).

[0075] S1031, determine the amplitude value from the vibration data, and determine the average amplitude and variance of the amplitude value.

[0076] In this embodiment, the controller 4 analyzes the vibration data to determine the amplitude value. The amplitude value represents the magnitude of the vibration amplitude of the winding permanent magnet speed controller. A larger vibration amplitude indicates that the winding permanent magnet speed controller is more unstable during operation and has a higher probability of malfunction. Therefore, the controller 4 uses an average value calculation formula to determine the average amplitude, which represents the overall vibration amplitude of the winding permanent magnet speed controller within a preset time period. The controller 4 uses a variance calculation formula to calculate the amplitude variance, which represents the level of amplitude fluctuation within the preset time period. A larger amplitude variance indicates a richer range of amplitude values, a greater difference from the average amplitude, and more unstable amplitude, thus indicating a higher probability of malfunction in the winding permanent magnet speed controller.

[0077] S1032, determine the first outlier of the vibration data based on the average amplitude and amplitude variance.

[0078] In this embodiment of the application, the average amplitude and the variance of amplitude are key factors in characterizing the abnormal level of the winding permanent magnet speed controller in terms of vibration data. Therefore, the staff can set their respective weights for the average amplitude and the variance of amplitude and store them in the controller 4. The controller 4 calls their respective coefficients to perform weighted calculations on the average amplitude and the variance of amplitude to obtain the first abnormal value of the vibration data.

[0079] S1033, determine the preset audio signal corresponding to the current, and determine the second abnormal value of the audio signal based on the preset audio signal and the audio signal.

[0080] In this embodiment, the rotor speed within the winding varies with different currents, resulting in different sounds emitted by the wound-type permanent magnet speed controller. The controller 4 or local storage medium stores preset audio signals emitted when different currents flow into the winding and the wound-type permanent magnet speed controller is operating normally. The controller 4 identifies all currents that have occurred within a preset time period and finds the corresponding preset audio signals for each current. Then, it maps all the found preset audio signals to the same Cartesian coordinate system according to the time sequence of the current occurrences. The controller 4 also maps the audio signals for the preset time period to this Cartesian coordinate system. By comparing and analyzing the audio signals in the coordinate system with the preset audio signals, a second abnormal value indicating an anomaly in the emitted sound of the wound-type permanent magnet speed controller can be determined.

[0081] S1034, determine the average temperature and the highest temperature, and determine the third outlier of the temperature based on the average temperature and the highest temperature.

[0082] In this embodiment, the controller 4 averages the temperature to obtain an average temperature value. This average temperature value represents the overall temperature level of the winding permanent magnet speed controller during operation. A higher average temperature value indicates a greater likelihood of an abnormality in the winding permanent magnet speed controller. Then, the highest temperature value within a preset time period is determined. A higher highest temperature value also indicates a greater likelihood of an abnormality in the winding permanent magnet speed controller. Since both the average and highest temperature values ​​are key factors affecting the operation of the winding permanent magnet speed controller, operators can assign corresponding weights to the average and highest temperature values ​​and store them in the controller 4 or local storage. The controller 4 then uses these weights to perform a weighted calculation on the average and highest temperature values ​​to obtain a third abnormality value related to temperature.

[0083] S1035, determine the overall operating abnormal value of the winding permanent magnet speed governor based on the sub-operational abnormal value, the first abnormal value, the second abnormal value and the third abnormal value of each time interval.

[0084] In the embodiments of this application, after the controller 4 determines the sub-operational anomaly value, the first anomaly value, the second anomaly value, and the third anomaly value for each time interval, the overall operational anomaly value of the winding permanent magnet speed controller within the preset time period can be determined by comprehensively analyzing the above four anomaly values. The overall operational anomaly value determined by comprehensively analyzing vibration data, audio signals, and temperature is more accurate.

[0085] One possible implementation of this application embodiment is that step S1033, which determines the second abnormal value of the audio signal based on a preset audio signal and an audio signal, specifically includes steps Sa (not shown in the figure), Sb (not shown in the figure), Sc (not shown in the figure), Sd (not shown in the figure), and Se (not shown in the figure), wherein...

[0086] Sa compares the preset audio signal with the audio signal to identify inconsistent audio segments and determine the number of inconsistent audio segments.

[0087] In this embodiment, the controller 4 compares the preset audio signal and the audio signal corresponding to each current, removes the overlapping parts to obtain waveform segments in the audio signal that are inconsistent with the preset audio signal, i.e., inconsistent audio segments. Then, the controller 4 counts the inconsistent audio segments to obtain the number of inconsistent audio segments. The more inconsistent audio segments there are, the greater the likelihood that the winding permanent magnet speed controller is malfunctioning in terms of the sound emitted during operation.

[0088] Sb determines the first similarity between each inconsistent audio segment and the corresponding audio segment in the time domain of the preset audio signal.

[0089] In this embodiment, each inconsistent audio segment occupies a certain amount of time. Therefore, the audio segment corresponding to the preset audio signal can be determined in the time domain according to the time period corresponding to the inconsistent audio segment. Then, the controller 4 calculates the first similarity between the inconsistent audio segment and the corresponding audio segment in the preset audio signal. Specifically, the controller 4 can characterize the first similarity by calculating the mean squared error (MSE) between the inconsistent audio segment and the corresponding audio segment in the preset audio signal. The smaller the MSE, the higher the similarity. The controller 4 can take the reciprocal of the MSE to characterize the similarity, so that the smaller the MSE and the larger the reciprocal of the MSE, the higher the similarity. A higher first similarity indicates that the inconsistent audio segment is more similar to the corresponding audio segment in the preset audio signal, and the lower the possibility of it being an abnormal sound. A lower first similarity indicates that the difference between the inconsistent audio segment and the corresponding audio segment in the preset audio signal is greater, and the higher the possibility of it being abnormal.

[0090] Sc determines the temporal distance between any two inconsistent audio segments that are in adjacent states and calculates the variance of all temporal distances.

[0091] In this embodiment, the more regular the distance between all adjacent inconsistent audio segments, the more stable the winding-type permanent magnet speed controller is during operation. The more regular and stable the abnormal sounds, the lower the probability of anomalies. Therefore, the controller 4 calculates the time-domain distance between all adjacent inconsistent audio segments, and then calculates the variance of all time-domain distances using the variance calculation formula. The larger the variance, the more irregular the distribution of time-domain distances between adjacent inconsistent audio segments, the more unstable the winding-type permanent magnet speed controller is during operation, and the greater the probability of anomalies.

[0092] Sd determines the harmonics of the audio signal and the harmonics of the preset audio signal, and determines the second similarity between the audio signal and the preset audio signal.

[0093] In this embodiment, controller 4 performs denoising processing on the audio signal, then obtains the frequency domain spectrum of the denoised audio signal through Fourier transform, obtains the fundamental frequency from the frequency domain spectrum using the YIN algorithm, and then finds the amplitude at integer multiples of the fundamental frequency in the spectrum to obtain the harmonics. Similarly, the harmonics of the preset audio signal are obtained, and then controller 4 calculates the second similarity between the two harmonic graphs. Controller 4 can also calculate the second similarity by calculating the mean square error, or it can calculate the similarity between the two harmonic graphs using a convolutional neural network model. Harmonics characterize the timbre emitted by the wound permanent magnet speed controller during operation. A higher second similarity indicates that the timbre emitted by the wound permanent magnet speed controller during operation is closer to the timbre emitted when operating normally, and the lower the probability of anomalies; conversely, a lower second similarity indicates a higher probability of anomalies.

[0094] Se determines the second outlier of the audio signal based on the number of inconsistent audio segments, the first similarity, the variance, and the second similarity.

[0095] In summary, for the embodiments of this application, the number of inconsistent audio segments, the first similarity, the variance, and the second similarity are all key factors affecting the possibility of abnormal sound output in the wound permanent magnet speed controller, and their influence varies. Therefore, the staff sets corresponding coefficients for each of the above four factors and stores them in the controller 4. The controller 4 calls the corresponding coefficients to perform a weighted calculation to obtain the second outlier value. The controller 4 determines the second outlier value more accurately by comprehensively analyzing the audio segments and harmonics in the audio signal that are inconsistent with the preset audio signal.

[0096] One possible implementation of this application embodiment involves determining the overall operational anomaly value of the winding-type permanent magnet speed controller in step S1035 based on the sub-operational anomaly value, the first anomaly value, the second anomaly value, and the third anomaly value for each time interval. This specifically includes steps one and two, wherein...

[0097] Step 1: Determine the sum of all sub-running exception values.

[0098] Step 2: Determine the overall operational anomaly value of the winding-type permanent magnet speed controller based on the sum, the first anomaly value, the second anomaly value, the third anomaly value, and their respective coefficients.

[0099] In this embodiment, the controller 4 sums all the sub-operational anomalies to obtain a total sum. The total sum represents the operational anomaly value obtained by superimposing the sub-operational anomalies of each time interval over a preset time period. The first anomaly, the second anomaly, and the third anomaly are all values ​​that affect the degree of anomaly of the winding-type permanent magnet speed controller under the overall performance of vibration data, audio signals, and temperature within the preset time period. Therefore, the controller 4 combines the total sum, the first anomaly, etc., to make a more accurate overall operational anomaly value. The staff sets corresponding coefficients for the four factors, including the total sum and the first anomaly, and stores them in the controller 4. The controller 4 calls the corresponding coefficients to perform a weighted calculation on the four factors, including the total sum and the first anomaly, to obtain the overall operational anomaly value.

[0100] One possible implementation of this application embodiment is that step S105 determines the heating network demand value for each time period based on the average rotational speed and peak rotational speed, specifically including steps S1051 (not shown in the figure) and S1052 (not shown in the figure), wherein,

[0101] S1051, determine the duration of the peak speed in each time period, and determine the first product of the peak speed and the duration.

[0102] In this embodiment, the controller 4 determines the peak speed and the duration of the peak speed, and then multiplies the peak speed by the corresponding duration to obtain a first product. The larger the first product, the greater the demand for the heating network at the peak speed. The wound permanent magnet speed controller needs to operate at the peak speed for a longer period of time, which places higher demands on the operation of the wound permanent magnet speed controller.

[0103] S1052, determine the product of the average rotational speed and the first product to obtain the second product, which represents the heating network demand value for each time period.

[0104] In this embodiment, the average speed is less than the peak speed. The average speed is the speed required for long-term operation within a certain time period, which places lower demands on the operation of the winding-type permanent magnet speed controller. Therefore, the controller 4 multiplies the average speed by the first product to obtain the second product. The second product represents the heat network demand value for each time period. The larger the heat network demand value, the higher the requirements for the operation of the winding-type permanent magnet speed controller.

[0105] One possible implementation of this application embodiment is that step S106 determines whether the wound permanent magnet speed governor meets the heating network demand of the current and next time periods based on the sub-operational anomaly value of each time interval, the overall operation anomaly value, the heating network demand value of the current time period, and the heating network demand value of the next time period. Specifically, this includes steps S1061 (not shown in the figure), S1062 (not shown in the figure), S1063 (not shown in the figure), S1064 (not shown in the figure), S1065 (not shown in the figure), S1066 (not shown in the figure), and S1067 (not shown in the figure).

[0106] S1061, determine the changing trend of sub-running anomalies based on the sub-running anomalies in each time interval.

[0107] In this embodiment, the controller 4 can map the sub-operational anomalies of each time interval to a preset rectangular coordinate system in chronological order. Then, it performs linear fitting on all the coordinate points to obtain a linear function. By determining the slope of the linear function, the changing trend of the sub-operational anomalies can be obtained. A positive slope indicates an upward trend.

[0108] S1062, if the trend is upward, then determine the rate of increase of the sub-running anomaly.

[0109] In the embodiments of this application, if the trend is upward, the slope is determined as the rate of increase. If the trend remains unchanged or decreases, it indicates that the abnormality of the winding-type permanent magnet speed controller is decreasing or remaining constant, both indicating that the operation of the winding-type permanent magnet speed controller is becoming more stable. This further indicates that it can meet the heating demand of the current time period and the next time period.

[0110] S1063, determine the first difference between the overall abnormal value and the preset abnormal threshold, and determine the ratio of the first difference to the rate of increase.

[0111] In this embodiment, a preset anomaly threshold is used as a critical value for a high degree of anomaly in the wound-type permanent magnet speed controller. The controller 4 compares the overall operational anomaly value with the preset anomaly threshold. If the preset anomaly threshold is reached, the anomaly level exceeds the upper limit and inspection and maintenance are required. If the preset anomaly threshold is not reached, a first difference between the overall operational anomaly value and the preset anomaly threshold is calculated, and then the first difference is divided by the rate of increase to obtain a ratio. The larger the ratio, the larger the first difference and the smaller the rate of increase, which indicates that the wound-type permanent magnet speed controller can meet the greater demand of the heating network.

[0112] S1064, based on the ratio, determines the threshold of heating network demand that the winding-type permanent magnet speed controller can meet.

[0113] For the embodiments of this application, the controller 4 stores a preset function that calculates the heating network demand threshold by means of a ratio. The controller 4 substitutes the ratio into the preset function to calculate the heating network demand threshold that the winding permanent magnet speed controller can meet under the current operating conditions (i.e., under the ratio), which is the upper limit of the heating network demand.

[0114] S1065, determine the duration from the current time to the next time period, and determine the first proportion of the duration to the total duration of the current time period.

[0115] In this embodiment of the application, the controller 4 determines the start time of the next time period and then obtains the current time. It subtracts the current time from the start time of the next time period to obtain the remaining duration of the current time period, and then divides the remaining duration by the total duration of the current time period to obtain the first percentage.

[0116] S1066, multiply the first proportion by the current period's heating network demand value to obtain the third product, and determine the sum of the third product and the heating network demand value for the next period to obtain the total heating network demand value.

[0117] In the embodiments of this application, the controller 4 multiplies the first proportion by the heating network demand value of the current time period to obtain the third product. The third product represents the remaining heating network demand value of the current time period. Then, the controller 4 adds the third product to the heating network demand value of the next time period to obtain the sum of the heating network demand value, that is, the sum of the heating network demand value for a future period.

[0118] S1067 If the total demand value of the heating network does not reach the heating network demand threshold, then determine whether the winding permanent magnet speed controller meets the heating network demand of the current time period and the next time period.

[0119] In this embodiment of the application, the controller 4 compares the sum of the heating network demand values ​​for a future period with the heating network demand threshold determined by the ratio. If the heating network demand threshold is not reached, it indicates that the wound permanent magnet speed controller can meet the heating network demand for the current period and the next period. If the heating network demand threshold is reached, it indicates that the operation of the wound permanent magnet speed controller is insufficient to support the heating network demand for a future period.

[0120] One possible implementation of this application embodiment is that step S102 determines the sub-operational anomaly value for each time interval based on the vibration data, audio signal, and temperature for each time interval. Specifically, this includes steps S1021 (not shown in the figure), S1022 (not shown in the figure), S1023 (not shown in the figure), S1024 (not shown in the figure), and S1025 (not shown in the figure).

[0121] S1021, the amplitude value is extracted from the vibration data of each time interval.

[0122] In this embodiment of the application, the controller 4 analyzes the vibration data of each time interval to obtain the amplitude value corresponding to each time interval.

[0123] S1022, determine the average amplitude within each time interval, and determine the second difference between the average amplitude and the preset amplitude threshold corresponding to each time interval.

[0124] The preset amplitude threshold is the amplitude threshold corresponding to the current in each time interval.

[0125] In this embodiment, the controller 4 calculates the average amplitude for each time interval using an average value calculation formula, and uses the average amplitude to characterize the overall amplitude level within the time interval. A preset amplitude threshold is used as the amplitude during normal operation of the winding-type permanent magnet speed controller under each current. The controller 4 subtracts the corresponding preset amplitude threshold from the average amplitude to obtain a second difference. The larger the second difference, the greater the difference between the amplitude and the amplitude during normal operation, and the greater the possibility of abnormal vibration within the time interval.

[0126] S1023, compare the audio signal with the preset audio signal corresponding to the current in each time interval, determine the inconsistent audio segments in each time interval, and determine the duration of the inconsistent audio segments and the second proportion of the corresponding time interval.

[0127] In this embodiment, the controller 4 compares the audio signal of each time interval with the preset audio signal under the corresponding current to determine the inconsistent audio segments. Then, the controller 4 calculates the duration of all inconsistent audio segments in each time interval, and divides the duration of all inconsistent audio segments by the time span of the time interval to obtain the second proportion. The larger the second proportion, the greater the difference between the sound of the wound permanent magnet speed controller during operation within the time interval and the sound during normal operation, and the greater the possibility of abnormal sound during operation within the time interval.

[0128] S1024, determine the average temperature within each time interval, and determine the third difference between the average temperature and the preset temperature threshold corresponding to each time interval.

[0129] The preset temperature threshold is the temperature threshold corresponding to the current in each time interval.

[0130] In this embodiment, the controller 4 calculates the average temperature for each time interval using an average value calculation formula. The average temperature represents the overall temperature of the winding permanent magnet speed controller within each time interval. The preset temperature threshold is the temperature level at which the winding permanent magnet speed controller operates normally under the current in each time interval. The controller 4 subtracts the corresponding preset temperature threshold from the average temperature to obtain a third difference value. The larger the third difference value, the greater the possibility of an abnormality in temperature within the time interval.

[0131] S1025, determine the sub-operational anomaly value for each time interval based on the second difference, the second proportion, the third difference, and their respective coefficients.

[0132] In summary, for the embodiments of this application, the second difference, the second proportion, etc., are all key factors affecting the degree of operational anomaly of the wound permanent magnet speed controller in each time interval, and their influence on the degree of operational anomaly varies. The operator sets coefficients corresponding to the three factors (second difference, etc.) and stores them in the controller 4. The controller 4 calls the corresponding coefficients to perform weighted calculations to obtain the sub-operational anomaly value for each time interval. The sub-operational anomaly value obtained by comprehensively analyzing the amplitude, audio, and temperature of each time interval is more accurate.

[0133] In one possible implementation of this application embodiment, step S107 (not shown in the figure) is included after step S103, wherein...

[0134] S107, if the overall abnormal value reaches the preset abnormal threshold, the controller 4 outputs the first prompt message.

[0135] In this embodiment of the application, if the overall abnormal value of the winding permanent magnet speed controller reaches the preset abnormal threshold, it indicates that the winding permanent magnet speed controller is operating poorly and may malfunction and shut down at any time, thereby affecting subsequent heating. The controller 4 outputs a first prompt message. The first prompt message may be a text message sent by the controller 4 to the staff's terminal device (such as a mobile phone, personal computer, etc.) stating "The winding permanent magnet speed controller is abnormal, please repair it in time," or the controller 4 may control a buzzer or indicator light to work, thereby prompting the staff that the winding permanent magnet speed controller is abnormal, so that the staff can be informed of the operating status of the winding permanent magnet speed controller in a timely manner.

[0136] In one possible implementation of this application embodiment, step S106 is followed by step S108 (not shown in the figure), wherein...

[0137] S108 If the heating network demand for the current time period and the next time period is not met, the controller 4 outputs a second prompt message.

[0138] In this embodiment of the application, if the heating network demand for the current period and the next period is not met, the controller 4 can output a second prompt message. The second prompt message may be a text message sent by the controller 4 to the staff's terminal device (such as a mobile phone, personal computer, etc.) stating "The winding permanent magnet speed controller cannot meet the heating network demand for a period of time in the future. Please adjust and repair the winding permanent magnet speed controller in a timely manner." Alternatively, the controller 4 may control a buzzer or indicator light to work, thereby prompting the staff that the winding permanent magnet speed controller cannot meet the heating network demand for the current period and the next period of time. This facilitates the staff to adjust and repair the winding permanent magnet speed controller in a timely manner so that the winding permanent magnet speed controller can meet the heating network demand for the subsequent period of time.

[0139] In one possible implementation of this application embodiment, step S1034 is followed by step S109 (not shown in the figure), wherein...

[0140] S109, when the third abnormal value reaches the preset abnormal value threshold, the controller 4 controls the cooling fan 5 to run.

[0141] For the embodiments of this application, refer to Figure 1 The controller 4 is also connected to a cooling fan 5 via wires. The cooling fan is installed near the wound permanent magnet speed controller and faces it. The controller 4 compares the third abnormal value with a preset abnormal value threshold. The preset abnormal value threshold is used to determine whether the third abnormal value has reached a critical point. If it has, it means that the temperature of the wound permanent magnet speed controller is too high and needs to be cooled down in time. At this time, the controller 4 sends a control signal to the cooling fan 5. After receiving the control signal, the cooling fan 5 starts to work, thereby cooling the wound permanent magnet speed controller and preventing it from overheating.

[0142] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A transmission device for a heating network circulation pump, characterized in that: include A winding-type permanent magnet speed controller includes a permanent magnet outer rotor, a permanent magnet, and a winding inner rotor. The permanent magnet outer rotor is connected to the motor output shaft, and the winding inner rotor is connected to a circulating pump. Vibration sensor (1) is used to collect vibration data during the operation of the winding permanent magnet speed controller; Temperature sensor (2) is used to collect the temperature of the winding permanent magnet speed controller during operation; Microphone (3) is used to collect audio signals during the operation of the winding permanent magnet speed controller; The controller (4) is communicatively connected to the winding permanent magnet speed controller, vibration sensor (1), temperature sensor (2) and microphone (3) to acquire the current of the winding in the winding permanent magnet speed controller, the vibration data, the temperature and the audio signal within a preset time period. The preset time period is divided into multiple time intervals according to the current flowing through the rotor windings in the windings, and the sub-operational anomaly value of each time interval is determined based on the vibration data, audio signal and temperature of each time interval. The overall operational anomaly value of the winding permanent magnet speed controller is determined based on the sub-operational anomaly values ​​of each time interval, the current, vibration data, temperature, and audio signals of the preset time period. Acquire historical speed data of the circulating pump, and determine the average speed and peak speed for each time period based on the historical speed data; The heating network demand value for each time period is determined based on the average speed and peak speed, and the heating network demand value for the current time period and the heating network demand value for the next time period are determined. Based on the sub-operational anomaly value, overall operational anomaly value, current heating network demand value, and next heating network demand value for each time interval, it is determined whether the winding permanent magnet speed controller meets the heating network demand for the current and next time periods. The determination of the heating network demand value for each time period based on the average rotational speed and peak rotational speed includes: Determine the duration of the peak rotational speed in each time period, and determine the first product of the peak rotational speed and the duration; The product of the average rotational speed and the first product is determined to obtain the second product, which represents the heating network demand value for each time period; The step of determining whether the wound permanent magnet speed controller meets the heating network demand for the current and next time periods based on the sub-operational anomaly value, the overall operation anomaly value, the heating network demand value for the current time period, and the heating network demand value for the next time period in each time interval includes: The changing trend of the sub-operational anomaly value is determined based on the sub-operational anomaly value of each time interval; If the trend of change is upward, then determine the rate of increase of the sub-running anomaly value; Determine the first difference between the overall operational anomaly value and the preset anomaly threshold, and determine the ratio of the first difference to the rate of increase; Based on the ratio, the threshold value of the heating network demand that the winding permanent magnet speed controller can meet is determined. Determine the duration from the current moment to the start of the next time period, and determine the first proportion of the duration to the total duration of the current time period; The first proportion is multiplied by the current period's heating network demand value to obtain a third product. The sum of the third product and the heating network demand value of the next period is then determined to obtain the total heating network demand value. If the sum of the heating network demand values ​​does not reach the heating network demand threshold, then it is determined that the winding permanent magnet speed controller meets the heating network demand for the current time period and the next time period.

2. The transmission device for a heating network circulating pump according to claim 1, characterized in that, When different currents are applied to the windings on the rotor within the windings, the winding-type permanent magnet speed controller corresponds to different preset audio signals during operation. The determination of the overall operational anomaly value of the winding-type permanent magnet speed controller based on the sub-operational anomaly value of each time interval, the current, vibration data, temperature, and audio signal of the preset time interval includes: The amplitude value is determined from the vibration data, and the average amplitude and variance of the amplitude value are determined. The first outlier of the vibration data is determined based on the average amplitude and the variance of the amplitude. Determine the preset audio signal corresponding to the current, and determine the second abnormal value of the audio signal based on the preset audio signal and the audio signal; Determine the average temperature and the highest temperature value of the stated temperature, and determine a third outlier of the stated temperature based on the average temperature and the highest temperature value; The overall operational anomaly value of the winding permanent magnet speed controller is determined based on the sub-operational anomaly value, the first anomaly value, the second anomaly value, and the third anomaly value of each time interval.

3. The transmission device for a heating network circulation pump according to claim 2, characterized in that, The step of determining the second abnormal value of the audio signal based on the preset audio signal and the audio signal includes: The preset audio signal is compared with the audio signal to identify inconsistent audio segments and to determine the number of inconsistent audio segments. Determine the first similarity between each inconsistent audio segment and the corresponding audio segment in the time domain of the preset audio signal; Determine the temporal distance between any two inconsistent audio segments that are in adjacent states, and calculate the variance of all temporal distances; Determine the harmonics of the audio signal and the harmonics of the preset audio signal, and determine the second similarity between the audio signal and the preset audio signal; The second outlier of the audio signal is determined based on the number of inconsistent audio segments, the first similarity, the variance, and the second similarity.

4. The transmission device for a heating network circulation pump according to claim 2, characterized in that, The determination of the overall operational anomaly value of the winding-type permanent magnet speed governor based on the sub-operational anomaly value, the first anomaly value, the second anomaly value, and the third anomaly value of each time interval includes: Determine the sum of all sub-runaway values; The overall operational anomaly value of the winding permanent magnet speed controller is determined based on the sum, the first anomaly value, the second anomaly value, the third anomaly value, and their respective coefficients.

5. The transmission device for a heating network circulation pump according to claim 1, characterized in that, The process of determining sub-operational anomaly values ​​for each time interval based on vibration data, audio signals, and temperature includes: The amplitude value was extracted from the vibration data for each time interval; Determine the average amplitude within each time interval, and determine a second difference between the average amplitude and a preset amplitude threshold corresponding to each time interval, wherein the preset amplitude threshold is the amplitude threshold corresponding to the current in each time interval; The audio signal is compared with the preset audio signal corresponding to the current in each time interval to determine the inconsistent audio segments in each time interval, and the duration of the inconsistent audio segments and the second proportion of the corresponding time interval are determined. Determine the average temperature within each time interval, and determine the third difference between the average temperature and the preset temperature threshold corresponding to each time interval, wherein the preset temperature threshold is the temperature threshold corresponding to the current in each time interval; The sub-operational anomaly value for each time interval is determined based on the second difference, the second proportion, the third difference, and their respective coefficients.

6. The transmission device for a heating network circulating pump according to claim 1, characterized in that, If the overall abnormal value reaches the preset abnormal threshold, the controller (4) outputs the first prompt information.

7. The transmission device for a heating network circulating pump according to claim 1, characterized in that, If the heating network demand for the current period and the next period is not met, the controller (4) outputs a second prompt message.

8. The transmission device for a heating network circulating pump according to claim 3, characterized in that, When the third abnormal value reaches the preset abnormal value threshold, the controller (4) controls the cooling fan (5) to run.

Images