Household split variable-frequency air conditioner indoor unit low-power-consumption standby controller method

Abstract

The invention discloses a household split variable-frequency air conditioner indoor unit low-power-consumption standby controller method, relates to the technical field of air conditioner control, and solves the problem that an energy recovery mechanism and standby power consumption control cannot be deeply integrated. According to the invention, through a closed-loop debugging mechanism of voltage ripple monitoring, to-be-calibrated section screening, comprehensive characteristic quantification and standard deviation comparison, adaptive optimization of voltage frequency is realized; feature analysis is only carried out on the to-be-calibrated section passing through the voltage zero point, key fluctuation risk points are focused, and invalid debugging is avoided; a comprehensive feature is constructed based on the voltage difference value and the time interval, fluctuation abnormity is accurately recognized in combination with a preset threshold value Y1, and the abnormity judgment accuracy is ensured; through the debugging logic of'directional test-step optimization ', the voltage frequency is dynamically adjusted until the standard deviation reaches the standard, voltage ripple fluctuation is effectively inhibited, part damage or program runaway caused by voltage abnormity is prevented, and the reliability and stability of controller operation are further improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of air conditioner control, in particular to a low-power standby controller method for an indoor unit of a household split variable frequency air conditioner. BACKGROUND

[0002] With the deepening of the concept of energy saving and emission reduction and the continuous upgrading of household appliance energy efficiency standards, the standby power consumption control of household split variable frequency air conditioners has become one of the core focuses of the industry. At present, although the ordinary indoor unit controller of a household split variable frequency air conditioner can realize basic functions such as indoor unit load control, indoor environment and pipe temperature detection, and communication with the outdoor unit mainboard, there is still a significant energy consumption optimization space in the standby state.

[0003] In the existing standby mode of an air conditioner, the indoor unit mainboard usually relies on commercial power through a switching power supply for continuous power supply to maintain the basic working state of the core chip, resulting in high standby power consumption of the whole machine, and long-term accumulation causing a large amount of waste of electric energy. In order to solve the problem of low-power supply, there have been related explorations in the industry to use energy storage elements to assist power supply. Among them, 3.7V lithium batteries are widely used in load power supply scenarios of various charging products due to their strong adaptability and stable power supply. At the same time, the maturity of the boost circuit technology makes it possible to convert low voltage to 12V or other working voltages, providing technical support for the power supply matching of energy storage elements and air conditioner electronic control systems. In addition, intelligent switching of circuit on-off through MCU program control of the attraction and disconnection of a large-current relay has become a common technical means in the field of air conditioner electronic control.

[0004] On this basis, some research proposes that when the indoor fan is rotating, a small coaxial generator is installed to generate electricity by using the kinetic energy of the fan rotation to charge the matching lithium battery, and the charging circuit is disconnected when the battery is charged to a certain extent, forming a preliminary energy recovery logic of "kinetic energy-electricity-energy storage". However, the existing technology fails to deeply integrate the energy recovery mechanism with standby power consumption control, lacks a complete "charging-energy storage-standby power supply-circuit switching" closed-loop solution, and cannot fully play the core role of energy storage elements in reducing standby power consumption, resulting in problems such as redundant consumption of electric energy in the standby phase of the air conditioner, which cannot meet the user's demand for low-energy consumption household appliances and the development trend of industry energy efficiency upgrading.

[0005] Therefore, there is an urgent need for a controller control method based on existing mature technologies to significantly reduce the standby power consumption of an air conditioner indoor unit through reasonable integration and innovative design. SUMMARY

[0006] In view of the shortcomings of the prior art, the present application provides a low-power standby controller method for an indoor unit of a household split variable frequency air conditioner, which solves the problem of failing to deeply integrate the energy recovery mechanism with standby power consumption control.

[0007] To achieve the above object, the application is implemented by the following technical solutions: a kind of indoor unit low-power standby controller method of household split variable frequency air conditioner, comprising the following steps: Step one, the associated storage characteristics and discharge characteristics of variable frequency air conditioner lithium battery in different fan speed states are determined, based on the change process of lithium battery power in different time periods, the change parameters associated with corresponding fan speed are locked, and the locked change parameters are recorded as the dynamic characteristics associated with corresponding lithium battery, the specific way is: The storage data belonging to the same fan speed is extracted, and from the extracted several groups of storage data, the storage trend existing in adjacent time is identified, and the identified several groups of storage trends are clustered to confirm, so that several groups of storage trends are arranged in the order of small to large value, the storage trend sequence is confirmed, and a storage trend segment is randomly selected from the storage trend sequence, and the maximum and minimum values of the storage trend segment are identified, the associated difference value is locked, which is = maximum value-minimum value, the total number G of storage trends in the storage trend segment is identified, using: associated difference value÷G=M, the density characteristics M associated with corresponding storage trend segment are confirmed, and the density characteristics of different storage trend segments in the storage trend column are determined in turn, and the maximum value is selected from them, and the storage trend segment associated with the maximum value is recorded as the standard trend segment, and the mean value of the multiple groups of storage trends associated with the standard trend segment is processed as the storage characteristics associated with corresponding fan speed; The same processing method is used to extract the discharge data associated with the same fan speed, and the same confirmation method of storage characteristics is used to determine the discharge characteristics, and the storage characteristics and discharge characteristics belonging to the same fan speed are recorded as the dynamic characteristics associated with corresponding fan speed; Step two, based on the dynamic characteristics associated with corresponding lithium battery, the running state of variable frequency air conditioner is monitored in real time, and the circuit switching time is confirmed in real time based on the current monitored running parameters, and the circuit is switched when the circuit switching time arrives, the specific way is: The current running state of variable frequency air conditioner is monitored in real time, the fan speed associated with the current variable frequency air conditioner is confirmed, and the dynamic characteristics associated with corresponding fan speed are extracted; The numerical value of the storage characteristics and discharge characteristics is identified from the dynamic characteristics, if the storage characteristics< the discharge characteristics, the feature difference value=(discharge characteristics-storage characteristics) is used to confirm the feature difference value, the total storage capacity Z of lithium battery at the current time is confirmed, using: (Z-10%×Z)÷feature difference value=consumption time, and the circuit switching time is locked by extending the consumption time from the current time, the discharge circuit of lithium battery is cut off when the circuit switching time arrives, and the demand circuit associated with the internal control circuit board is switched to the mains circuit; If the charge feature > discharge feature, then the feature difference value = (charge feature - discharge feature) is adopted, the feature difference value is confirmed, the total charge of the lithium battery at the current moment Z is confirmed, the standard total charge value set by the lithium battery is synchronously locked, (standard total charge value - Z) ÷ feature difference value = charge duration is adopted, the charge duration is extended based on the current moment, the circuit switching moment is locked, and the charge circuit of the lithium battery is cut off when the circuit switching moment arrives, and the charge circuit is turned on when the lithium battery charge is less than 10%; If the charge feature = discharge feature, no processing is required. Step three, in the process of lithium battery switching circuit loop, the voltage ripple associated with the lithium battery is identified, and the associated voltage frequency is gradually debugged based on the fluctuation feature of the voltage ripple, so that the lithium battery is in a normal operating state, and the specific method is: After the lithium battery completes the switching circuit loop process, a group of monitoring periods is determined, the monitoring period is a preset period, the voltage ripple associated with the lithium battery in the monitoring period is identified in the monitoring period, and the fluctuation turning points existing in the voltage ripple are sequentially marked, the trend of the wave segment before and after the wave segment turning point is opposite, and the voltage wave segment associated with adjacent fluctuation turning points is identified. Confirm whether the identified voltage ripple passes through the voltage zero point, if it does, mark this voltage ripple as a to-be-labeled segment, if it does not, no labeling processing is required. Based on the determined to-be-labeled segment, identify the voltage difference CV associated with the voltage peak point and the voltage valley point of the to-be-labeled segment i Further identify the time interval TD associated with the voltage peak point and the voltage valley point i Where i represents different to-be-labeled segments, and ZH i =C1×CV i +C2×TD i Confirm the comprehensive feature ZH i associated with the to-be-labeled segment, where C1 and C2 are both preset fixed coefficient factors. The comprehensive features ZH i associated with different to-be-labeled segments are sequentially determined, and the standard deviation of the determined several groups of comprehensive features is processed, the standard deviation is confirmed, and the standard deviation is compared with a preset value Y1, if the standard deviation ≥ Y1, a fluctuation abnormal signal is generated, otherwise, no processing is required, where Y1 is a preset value. Preferably, in step three, the specific method for gradually debugging the voltage frequency is: Confirm the voltage frequency associated with the current lithium battery, and adjust it up by 1Hz, identify whether the standard deviation associated with the next group of monitoring periods is smaller than the standard deviation value of the last group of monitoring periods, if so, the upward adjustment direction is recorded as the standard direction, otherwise, the downward adjustment direction is recorded as the standard direction; According to the determined standard direction, gradually debug the associated voltage frequency, and continuously monitor a group of monitoring periods, and confirm in real time whether the standard deviation associated with the corresponding monitoring period meets the standard, if it meets the standard, stop the debugging process, and execute the current voltage frequency, if it does not meet the standard, continue to debug, until the standard deviation meets the standard.

[0008] The application provides a kind of low-power standby controller method of household split variable frequency air conditioner indoor unit.Compared with prior art, it has the following beneficial effects: The application realizes accurate control of battery energy variation law by quantifying and standardizing the lithium battery storage characteristics and discharge characteristics under different fan speeds.On the one hand, based on the clustering of storage trend, density feature screening and mean value calculation, the charging and discharging capacity of the battery under different operating conditions can be objectively reflected, providing data support for subsequent circuit switching, ensuring that the MCU minimum system works only rely on lithium battery during air conditioner standby, maximizing the reduction of standby power consumption, without the need for additional power devices to achieve energy efficient recycling;On the other hand, according to the dynamic characteristics, the charging and discharging process is predicted in advance to trigger the circuit switching to avoid overcharging or overdischarging of the lithium battery, effectively reducing the cycle damage of the battery, prolonging the service life of the battery and reducing the maintenance and replacement cost in the later period; Based on the numerical comparison of storage characteristics and discharge characteristics and energy change calculation, the switching time of the mains circuit and the lithium battery circuit is accurately locked, solving the power gap or energy waste problem that may exist in the traditional switching mode.When the storage characteristics are less than the discharge characteristics, the consumption time of the battery remaining power is calculated in advance, and the mains circuit is switched to in time to avoid power interruption due to battery depletion;When the storage characteristics are greater than the discharge characteristics, the storage circuit is reasonably controlled to ensure that the battery stops charging after being charged to the standard capacity, avoiding energy redundancy consumption and preventing overcharging risk;At the same time, the switching time is automatically updated when the fan speed changes, ensuring the adaptability of the switching logic under different operating conditions, realizing the seamless connection of the power supply circuit with "zero interruption, zero waste", and improving the reliability of air conditioner operation; Through a closed-loop debugging mechanism involving voltage ripple monitoring, calibration segment screening, comprehensive feature quantification, and standard deviation comparison, adaptive optimization of voltage frequency is achieved. Feature analysis is performed only on calibration segments that have passed the zero-voltage point, focusing on key fluctuation risk points and avoiding ineffective debugging. A comprehensive feature is constructed based on voltage difference and time interval, combined with a preset threshold Y1 to accurately identify fluctuation anomalies, ensuring accurate anomaly detection. Through a "directional probing - gradual optimization" debugging logic, the voltage frequency is dynamically adjusted until the standard deviation meets the target, effectively suppressing voltage ripple fluctuations and avoiding sudden voltage rises, falls, or spikes during switching. This ensures the power supply stability of core components such as the MCU and relays, preventing component damage or program crashes due to voltage anomalies, and further improving the reliability and stability of the controller operation. Attached Figure Description

[0009] Figure 1 This is a schematic diagram of the method flow of the present invention. Detailed Implementation

[0010] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0011] Please see Figure 1 This application provides a method for a low-power standby controller for the indoor unit of a household split-type inverter air conditioner, comprising the following steps: Step 1: Determine the energy storage and discharge characteristics of the lithium battery in the variable frequency air conditioner under different fan speeds. Based on the change process of the lithium battery charge in different time periods, lock the change parameters associated with the corresponding fan speed and record the locked change parameters as the dynamic characteristics associated with the corresponding lithium battery. Specifically, a small coaxial generator is installed in the fan part of the indoor unit of the variable frequency air conditioner. When the air conditioner is running, it drives the guide ring to rotate synchronously, thereby driving the generator to generate electricity and charge the lithium battery. The energy stored in the lithium battery is provided to the indoor unit's electronic control board to fully reduce the overall standby power consumption. Therefore, here we lock the energy storage and discharge characteristics associated with the energy storage and discharge process of the lithium battery to facilitate the subsequent dynamic switching process of the lithium battery. The specific method for determining the energy storage and discharge characteristics of lithium batteries under different wind turbine speeds is as follows: Energy storage data belonging to the same wind turbine speed is extracted. From the extracted energy storage data sets, the energy storage trend between adjacent time periods is identified. The energy storage parameter associated with the previous time period is designated as CS1, and the energy storage parameter associated with the next time period is designated as CS2. The energy storage trend is confirmed by the formula: Energy Storage Trend = CS2 - CS1. The confirmed energy storage trends are then clustered and arranged in ascending order of value to confirm the energy storage trend sequence. A segment of the energy storage trend is then randomly selected from this sequence. Identify the maximum and minimum values ​​of the energy storage trend segment, lock the correlation difference, and the correlation difference = maximum value - minimum value. Then identify the total number G of energy storage trends within the energy storage trend segment, and use: correlation difference ÷ G = M to confirm the density feature M associated with the corresponding energy storage trend segment. Then determine the density features of different energy storage trend segments within the energy storage trend column in turn, select the maximum value, and record the energy storage trend segment associated with the maximum value as the standard trend segment. Then, average the multiple sets of energy storage trends associated with the standard trend segment as the energy storage feature associated with the corresponding wind turbine speed. Using the same processing method, discharge data associated with the same fan speed are extracted, and discharge characteristics are determined using the same confirmation method for energy storage characteristics. Energy storage characteristics and discharge characteristics belonging to the same fan speed are recorded as dynamic characteristics associated with the corresponding fan speed. Specifically, the power required by the internal control circuit board and the power stored in the lithium battery will change under different fan speeds. Therefore, by combining historical data, the energy storage and discharge characteristics associated with the corresponding fan speed can be effectively identified. By combining the specific characteristics associated with the corresponding fan speed, the circuit can be switched in advance to avoid the lithium battery from being over-discharged or over-charged. This not only effectively reduces energy consumption but also protects the battery health. Step 2: Based on the dynamic characteristics associated with the corresponding lithium battery, monitor the operating status of the variable frequency air conditioner in real time, and based on the currently monitored operating parameters, confirm the circuit switching time in real time, and switch the circuit when the circuit switching time arrives. The specific method for confirming the circuit switching time is as follows: The current operating status of the variable frequency air conditioner is monitored in real time, the current fan speed associated with the variable frequency air conditioner is confirmed, and the dynamic features associated with the corresponding fan speed are extracted. Identify the magnitudes of the energy storage and discharge characteristics from the dynamic features. If the energy storage characteristic is less than the discharge characteristic, then use: characteristic difference = (discharge characteristic - energy storage characteristic). Confirm the characteristic difference, then confirm the total energy storage capacity Z of the lithium battery at the current moment, and use: (Z - 10% × Z) ÷ characteristic difference = consumption time. Then, based on the current moment, extend the consumption time forward to lock the circuit switching time. When the circuit switching time arrives, cut off the discharge circuit for the lithium battery and switch the required circuit associated with the internal control circuit board to the mains power circuit. If the energy storage characteristic is greater than the discharge characteristic, then the following formula is used: characteristic difference = (energy storage characteristic - discharge characteristic). The characteristic difference is confirmed, and the total energy storage capacity Z of the lithium battery at the current moment is confirmed. The standard total energy storage value (i.e., total capacity) set for the lithium battery is locked simultaneously. The following formula is used: (standard total energy storage value - Z) ÷ characteristic difference = energy storage duration. Based on the current moment, the energy storage duration is extended to lock the circuit switching time. When the circuit switching time arrives, the energy storage circuit of the lithium battery is cut off. When the lithium battery capacity is lower than 10%, the energy storage circuit is turned on. If the energy storage characteristics equal the discharge characteristics, then no processing is required; Specifically, when the wind speed of the corresponding fan changes, the switching time of the associated circuit will be confirmed and updated again to ensure the accuracy of the switching time of the corresponding circuit. Based on the specific numerical characteristics of the energy storage and discharge characteristics, the process of time change associated with the corresponding numerical characteristics will be comprehensively evaluated, thereby comprehensively determining the comprehensive confirmation and processing process of different circuit loops. Step 3: During the lithium battery switching circuit process, identify the voltage ripple associated with the lithium battery, and based on the fluctuation characteristics of the voltage ripple, gradually adjust the associated voltage frequency to bring the lithium battery into normal operation. The specific method for gradually adjusting the voltage frequency is as follows: After the lithium battery completes the switching circuit process, a set of monitoring cycles is determined. The monitoring cycle is a preset cycle, and its specific value is determined in advance by the operator based on experience. Within the monitoring cycle, the voltage ripple associated with the lithium battery within this monitoring cycle is identified, and the fluctuation inflection points within the voltage ripple are marked in sequence. The trend of the wave segment before and after the wave segment inflection point is opposite (that is, when the front wave segment is trending upward, after passing the fluctuation inflection point, the back wave segment is trending downward, and when the front wave segment is trending downward, after passing the fluctuation inflection point, the back wave segment is trending upward). The voltage ripple segments associated with adjacent fluctuation inflection points are identified. Confirm whether the identified voltage ripple segment passes through the voltage zero point. If it does, mark this voltage ripple segment as the segment to be calibrated. If it does not, no calibration processing is required. Based on the identified calibration segment, identify the voltage difference CV associated with the voltage peak point and voltage valley point of the calibration segment. iThen identify the time interval TD associated with the voltage peak point and the voltage valley point. i Where i represents different segments to be calibrated, and uses: ZH i =C1×CV i +C2×TD i Confirm the comprehensive feature ZH associated with the segment to be calibrated. i C1 and C2 are preset fixed coefficient factors, whose specific values ​​are determined in advance by the operator based on experience, and C1+C2=1. The unit of measurement is not considered in this calculation. The integrated features ZH associated with different calibration segments i The determination is carried out sequentially, and the standard deviation of the determined comprehensive characteristics is processed. The standard deviation is confirmed and compared with the preset value Y1. If the standard deviation is ≥ Y1, an abnormal fluctuation signal is generated; otherwise, no processing is required. Y1 is the preset value, which is generally 0.21. Based on the generated band anomaly signal, the voltage frequency is gradually adjusted: Confirm the voltage frequency associated with the current lithium battery and adjust it upward by 1Hz. Identify whether the standard deviation associated with the next monitoring cycle is smaller than the standard deviation of the previous monitoring cycle. If so, record the upward adjustment direction as the standard direction; otherwise, record the downward adjustment direction as the standard direction. Based on the established standard direction, the associated voltage frequency is gradually adjusted, and a set of monitoring cycles is continuously monitored. The standard deviation associated with the corresponding monitoring cycle is checked in real time. If it meets the standard, the adjustment process is stopped and the current voltage frequency is executed. If it does not meet the standard, the adjustment continues until the standard deviation meets the standard.

[0012] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0013] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A method for a low-power standby controller for the indoor unit of a household split-type inverter air conditioner, characterized in that, Includes the following steps: Step 1: Determine the energy storage and discharge characteristics of the lithium battery in the variable frequency air conditioner under different fan speed conditions. Based on the change process of the lithium battery power in different time periods, lock the change parameters associated with the corresponding fan speed and record the locked change parameters as the dynamic characteristics associated with the corresponding lithium battery. Step 2: Based on the dynamic characteristics associated with the corresponding lithium battery, monitor the operating status of the variable frequency air conditioner in real time, and based on the currently monitored operating parameters, confirm the circuit switching time in real time, and perform circuit switching when the circuit switching time arrives. Step 3: During the lithium battery switching circuit process, identify the voltage ripple associated with the lithium battery, and based on the fluctuation characteristics of the voltage ripple, gradually adjust the associated voltage frequency to bring the lithium battery into normal operating condition.

2. The method for a low-power standby controller for a household split-type inverter air conditioner indoor unit according to claim 1, characterized in that, In step one, the specific method for determining the energy storage and discharge characteristics associated with the lithium battery is as follows: Energy storage data belonging to the same wind turbine speed is extracted. From the extracted energy storage data, the energy storage trends existing in adjacent time periods are identified. The identified energy storage trends are then clustered and arranged in ascending order of value to confirm the energy storage trend sequence. Energy storage trend segments are randomly selected from the energy storage trend sequence, and the maximum and minimum values ​​of the energy storage trend segments are identified. The correlation difference is locked, and the correlation difference = maximum value - minimum value. The total number G of energy storage trends within the energy storage trend segment is then identified. The correlation difference ÷ G = M is used to confirm the density feature M associated with the corresponding energy storage trend segment. Then, the density features of different energy storage trend segments within the energy storage trend column are determined one by one, and the maximum value is selected. The energy storage trend segment associated with the maximum value is recorded as the standard trend segment. The average value of multiple energy storage trends associated with the standard trend segment is then processed as the energy storage feature associated with the corresponding wind turbine speed. Using the same processing method, discharge data associated with the same fan speed are extracted, and discharge characteristics are determined using the same confirmation method for energy storage characteristics. Energy storage characteristics and discharge characteristics belonging to the same fan speed are recorded as dynamic characteristics associated with the corresponding fan speed.

3. The method for a low-power standby controller for a household split-type inverter air conditioner indoor unit according to claim 1, characterized in that, In step two, the specific method for confirming the circuit switching time is as follows: The current operating status of the variable frequency air conditioner is monitored in real time, the current fan speed associated with the variable frequency air conditioner is confirmed, and the dynamic features associated with the corresponding fan speed are extracted. Identify the magnitudes of the energy storage and discharge characteristics from the dynamic features. If the energy storage characteristic is less than the discharge characteristic, then use the following formula: characteristic difference = (discharge characteristic - energy storage characteristic). Confirm the characteristic difference, then confirm the total energy storage capacity Z of the lithium battery at the current moment, and use the following formula: (Z - 10% × Z) ÷ characteristic difference = consumption time. Based on the current moment, extend the consumption time forward to lock the circuit switching time. When the circuit switching time arrives, cut off the discharge circuit for the lithium battery and switch the required circuit associated with the internal control circuit board to the mains power circuit.

4. The method for a low-power standby controller for a household split-type inverter air conditioner indoor unit according to claim 3, characterized in that, If the energy storage characteristic is greater than the discharge characteristic, then the following formula is used: characteristic difference = (energy storage characteristic - discharge characteristic). The characteristic difference is confirmed, and the total energy storage capacity Z of the lithium battery at the current moment is confirmed. The standard total energy storage value set by the lithium battery is locked simultaneously. The following formula is used: (standard total energy storage value - Z) ÷ characteristic difference = energy storage duration. Then, based on the current moment, the energy storage duration is extended to lock the circuit switching time. When the circuit switching time arrives, the energy storage circuit of the lithium battery is cut off. When the lithium battery charge is lower than 10%, the energy storage circuit is turned on.

5. A method for a low-power standby controller for a household split-type inverter air conditioner indoor unit according to claim 3, characterized in that, If the energy storage characteristics equal the discharge characteristics, then no processing is required.

6. The method for a low-power standby controller for a household split-type inverter air conditioner indoor unit according to claim 1, characterized in that, In step three, the specific method for identifying the voltage ripple associated with the lithium battery is as follows: After the lithium battery completes the switching circuit process, a set of monitoring cycles is determined. The monitoring cycle is a preset cycle. Within the monitoring cycle, the voltage ripple associated with the lithium battery within this monitoring cycle is identified, and the fluctuation inflection points within the voltage ripple are marked sequentially. The trend of the wave segment before and after the wave segment inflection point is opposite, and the voltage ripple segment associated with adjacent fluctuation inflection points is identified. Confirm whether the identified voltage ripple segment passes through the voltage zero point. If it does, mark this voltage ripple segment as the segment to be calibrated. If it does not, no calibration processing is required. Based on the identified calibration segment, identify the voltage difference CV associated with the voltage peak point and voltage valley point of the calibration segment. i Then identify the time interval TD associated with the voltage peak point and the voltage valley point. i Where i represents different segments to be calibrated, and uses: ZH i =C1×CV i +C2×TD i Confirm the comprehensive feature ZH associated with the segment to be calibrated. i Where C1 and C2 are both preset fixed coefficient factors; The integrated features ZH associated with different calibration segments i The determination is carried out sequentially, and the standard deviation of the determined comprehensive characteristics is processed. The standard deviation is confirmed and compared with the preset value Y1. If the standard deviation is ≥ Y1, an abnormal fluctuation signal is generated; otherwise, no processing is required. Y1 is the preset value.

7. A method for a low-power standby controller for a household split-type inverter air conditioner indoor unit according to claim 6, characterized in that, In step three, the specific method for gradually adjusting the voltage frequency is as follows: Confirm the voltage frequency associated with the current lithium battery and adjust it upward by 1Hz. Identify whether the standard deviation associated with the next monitoring cycle is smaller than the standard deviation of the previous monitoring cycle. If so, record the upward adjustment direction as the standard direction; otherwise, record the downward adjustment direction as the standard direction. Based on the established standard direction, the associated voltage frequency is gradually adjusted, and a set of monitoring cycles is continuously monitored. The standard deviation associated with the corresponding monitoring cycle is checked in real time. If it meets the standard, the adjustment process is stopped and the current voltage frequency is executed. If it does not meet the standard, the adjustment continues until the standard deviation meets the standard.

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