A control method for water resource recycling and energy saving of a household split variable frequency air conditioner

Abstract

The application discloses a kind of control methods of water resource recycling and energy saving of domestic split variable frequency air conditioner, and the application relates to the technical field of energy-saving control, solve how to realize the effective recycling of air conditioner condensate water, and the problem of self-adaptive, high-precision cooling control of condenser is combined with the actual operation state of air conditioner, the present application is classified, mean and trend calibration to the condensate water production by outside temperature, internal refrigeration temperature, power frequency change parameter as core dimension, form the associated reference that can be directly called, make water mist production and actual water production accurate match, avoid idling, overflow or water shortage, improve system stability and reliability;Actual refrigeration characteristic quantization model is constructed with the temperature difference between inlet and outlet air, and the preset standard refrigeration efficiency is compared in real time, automatically identifies operation deviation and adjusts water mist amount by 10% unit gradient, quickly adjusts the condenser to the optimal heat exchange state, avoid overcooling or insufficient cooling, improve system operation precision.

Description

Technical Field

[0001] This invention relates to the field of energy-saving control technology, specifically to a control method for water resource recycling and energy saving in household split-type inverter air conditioners. Background Technology

[0002] Currently, traditional household split-type inverter air conditioners generate a large amount of condensate in the indoor unit's evaporator during cooling operation. This condensate is typically discharged directly outdoors through a drain pipe, failing to be effectively recycled and resulting in the waste of water resources. Simultaneously, the heat exchange efficiency of the outdoor unit's condenser directly affects the overall energy consumption and cooling performance. In high-temperature environments or under high-load operation, the condenser's heat dissipation conditions deteriorate, leading to increased condensing temperature and pressure. This results in increased refrigerant phase change energy consumption, a heavier compressor load, and reduced air conditioner operating efficiency.

[0003] Existing technologies lack integrated control schemes that combine condensate recovery with condenser heat dissipation optimization. Most rely solely on external fan cooling, resulting in limited heat exchange efficiency and difficulty in adaptive adjustment based on actual air conditioning load, ambient temperature, and condensate generation. Furthermore, traditional control methods cannot establish precise correlation benchmarks between external temperature, internal cooling temperature, power frequency parameters, and condensate generation based on historical operating data, making it difficult to quantitatively control the water mist cooling process. They also cannot perform closed-loop adjustments to the condenser's operating status through real-time comparison of actual cooling characteristics with standard cooling efficiency, leading to difficulties in maintaining the condenser within its optimal operating range over long periods, resulting in insufficient energy savings and operational stability.

[0004] Therefore, how to effectively recycle and reuse air conditioner condensate, and how to adaptively and precisely control the condenser based on the actual operating status of the air conditioner to improve heat exchange efficiency and reduce overall power consumption, has become an urgent problem to be solved in the existing energy-saving technology of household split inverter air conditioners. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a control method for water resource recycling and energy saving in household split-type inverter air conditioners. It solves the problem of how to effectively recycle and utilize air conditioner condensate and how to adaptively and precisely control the condenser based on the actual operating status of the air conditioner.

[0006] To achieve the above objectives, the present invention provides a control method for water resource recycling and energy saving in a household split-type inverter air conditioner, comprising the following steps: Step 1: From the historical cooling data associated with the household split inverter air conditioner, using the external temperature as the variable benchmark, confirm the relationship between the internal cooling temperature, the power frequency variation parameters, and the condensate production. Based on the confirmation process, lock and record the associated benchmark. The specific method is as follows: From historical refrigeration data, refrigeration data belonging to the same external temperature are labeled as the same type of data; From the calibrated data of the same type, the average amount of condensate generated associated with the same internal cooling temperature and the same power frequency change parameter is processed and recorded as the average amount of condensate generated associated with the corresponding condensate. The change data belonging to the same change process is extracted, and from the extracted change data, the temperature change trend W associated with the internal cooling temperature in the corresponding time period is identified. The power frequency change trend Q associated with the power frequency change parameter is identified simultaneously. Then, the change trend C of the condensate generated in the corresponding time period is confirmed. The evaluation trend associated with the corresponding time period is confirmed by using: C÷[(Q×W)÷2]=P. The change data segment with a fluctuation range of less than 10% in the evaluation trend is recorded as the same type of data segment. For the identified data segments of the same type, the associated internal cooling temperature range and power frequency change parameter range are recorded. Simultaneously, the condensate production amount is averaged and recorded as the average production amount. The recorded relevant data is recorded as the associated benchmark. Then, the subsequent data segments of the same type but different types are confirmed in sequence, and the associated benchmarks are confirmed and recorded in sequence; Step 2: Based on the locked correlation benchmark, monitor the working data in real time, confirm the corresponding correlation benchmark based on the real-time monitoring data, and control the water mist generation of the water mist generator based on the correlation benchmark to cool the condenser. The specific method is as follows: From the working data associated with the household split inverter air conditioner, confirm the external temperature, internal cooling temperature and power frequency, and confirm the multiple sets of associated benchmarks associated with the external temperature. Then, from the internal cooling temperature range and power frequency change parameter range associated with different associated benchmarks, lock the corresponding associated benchmarks, and extract the average value from the locked associated benchmarks. The average output value is used as the control standard to ensure that the amount of water mist generated by the water mist generator per unit time is consistent with the average output value, thereby cooling the condenser. Step 3: During the cooling process of the condenser, compare the actual cooling characteristics and standard cooling efficiency associated with the household split inverter air conditioner to identify its operating status. Based on the identified operating status, adjust the water mist generation in real time to ensure the condenser is in optimal operating condition. The specific method is as follows: Based on the actual working efficiency of household split inverter air conditioners, the associated standard cooling efficiency is confirmed. The standard cooling efficiency is a preset value, and different actual working efficiencies correspond to different standard cooling efficiencies. The monitored inlet air temperature is marked as Wr, and the monitored outlet air temperature is marked as Wc. The actual cooling characteristic is then confirmed by using the formula: Actual cooling characteristic = (Wr - Wc) ÷ Wr. Identify the numerical difference between the actual cooling characteristics and the standard cooling efficiency. If the difference between the standard cooling efficiency and the actual cooling characteristics is ≥5%, a signal to be adjusted is directly generated. If the difference between the standard cooling efficiency and the actual cooling characteristics is <5%, the household split inverter air conditioner in cooling state is continuously monitored in real time.

[0007] Preferably, the floating range is determined as follows: the evaluation trend determined in the previous period is denoted as P1, the evaluation trend determined in the next period is denoted as P2, and it is identified whether P2 satisfies: P2∈P1±P1×10%. If yes, it means that P2 satisfies the condition that the floating range is less than 10%. If no, it means that the corresponding condition is not met.

[0008] Preferably, in step three, the specific method for real-time adjustment of the water mist generation based on the generated signal to be adjusted is as follows: Based on the generated signal to be debugged, the water mist generation is adjusted upwards by a set of numerical units: the current water mist generation is set as SW, then the set of numerical units is (SW×10%). During the subsequent cooling process, the corresponding numerical units are adjusted in real time based on the confirmed water mist generation, and the actual cooling characteristics are recorded in real time. It is confirmed whether the actual cooling characteristics have increased. If they have increased, the water mist generation is continuously adjusted according to the debugging direction until the standard cooling efficiency - actual cooling characteristics < 5%. If the actual cooling characteristics have not increased, the water mist generation is adjusted downwards by a set of numerical units based on the confirmed relevant values, and the water mist generation is continuously adjusted according to the debugging direction until the standard cooling efficiency - actual cooling characteristics < 5%.

[0009] This invention provides a control method for water resource recycling and energy saving in household split-type inverter air conditioners. Compared with existing technologies, it has the following advantages: Using external temperature, internal cooling temperature, and power frequency variation parameters as core dimensions, the amount of condensate generated is classified, averaged, and trend-calibrated to form a directly callable correlation benchmark, so that the amount of water mist generated is accurately matched with the actual water production, avoiding idling, overflow, or insufficient water supply, and improving system stability and reliability. Based on real-time working data, the system automatically locks the corresponding reference and controls the spray volume using the average condensate production as the standard. This ensures that the amount of water produced corresponds to the amount of mist sprayed, with stronger spraying at higher loads and weaker spraying at lower loads. No manual intervention is required throughout the process, and the system adaptively matches the air conditioning operating status. A quantitative model of actual cooling characteristics is constructed based on the temperature difference between the inlet and outlet air. This model is compared with the preset standard cooling efficiency in real time. The model automatically identifies operating deviations and fine-tunes the water mist volume in 10% increments. This quickly adjusts the condenser to the optimal heat exchange state, avoiding overcooling or insufficient cooling and improving the system's operating accuracy. Attached Figure Description

[0010] Figure 1 This is a schematic diagram of the method flow of the present invention. Detailed Implementation

[0011] 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.

[0012] First Embodiment Please see Figure 1 This application provides a control method for water resource recycling and energy saving in household split inverter air conditioners. In the cooling mode, the air conditioner uses an internal fan to make air flow, allowing the refrigerant in liquid state to absorb heat and quickly vaporize in the evaporator. During the vaporization process, water droplets will be generated on the surface of the condenser. When there are too many water droplets, they will be discharged outdoors through the drain pipe. Connect the drain pipe to the water mist generator on the outdoor unit. The water mist generator consists of a liquid container and a water mist generator. In cooling mode, the water mist generator operates when it detects water and stops operating when there is no water. The water mist generator can be activated mechanically or electronically. The water mist generated by the water mist generator is sprayed onto the condenser through the nozzle; The condenser is affected by water mist, and with the outdoor fan enhancing air circulation, the temperature on the condenser surface drops more than when there is no water mist. The energy required for the high-pressure gaseous refrigerant in the condenser to convert to a high-pressure liquid state is relatively reduced; of course, the required electrical energy is also reduced, thus improving the cooling effect of the air conditioner. Includes the following steps: Step 1: From the historical cooling data associated with the household split inverter air conditioner, using the external temperature as the variable benchmark, confirm the relationship between the internal cooling temperature and the power frequency variation parameters and the amount of condensate produced. Based on the confirmation process, lock the associated benchmark and record it. Specifically, in the actual testing and processing, in order to effectively identify the total amount of condensate produced by the condenser during the cooling process, the total amount of condensate is related to the inlet air temperature, outlet air temperature and the corresponding condenser operating frequency in real time. Therefore, in order to effectively confirm the total amount of condensate associated with the corresponding condensation process and make the cooling parameters associated with the subsequent cooling process more accurate, it is necessary to combine the historical data generated by the historical process to complete the confirmation process of the corresponding associated benchmark. Step 2: Based on the locked correlation benchmark, monitor the working data in the working state in real time, and based on the real-time monitored working data, confirm the corresponding correlation benchmark, and control the water mist generation of the water mist generator based on the correlation benchmark, and cool the condenser. Step 3: During the cooling process of the condenser, compare the actual cooling characteristics and standard cooling efficiency associated with the household split inverter air conditioner to identify the working status of the household split inverter air conditioner. Based on the identified working status, adjust the water mist generation in real time to ensure that the condenser is in the optimal operating state.

[0013] Second Embodiment In this embodiment, compared to the above embodiments, the main focus is on the verification process of the associated benchmark: The specific method for confirming and recording the associated benchmarks is as follows: From historical refrigeration data, refrigeration data belonging to the same external temperature are labeled as the same type of data; From the calibrated data of the same type, the average amount of condensate generated associated with the same internal cooling temperature and the same power frequency variation parameter is calculated and recorded as the average condensate generation associated with the corresponding condensate. Change data belonging to the same change process are extracted, and from the extracted change data, the temperature change trend W associated with the internal cooling temperature in the corresponding time period is identified. Simultaneously, the power frequency change trend Q associated with the power frequency variation parameter is identified, and then the change trend C of the condensate generation associated with the corresponding time period is confirmed. The change trend is the relationship between the parameter at the next moment and the parameter at the previous moment. Divide the difference in the parameters by the mean of the corresponding time period, using: C÷[(Q×W)÷2]=P, to confirm the assessment trend associated with the corresponding time period, and record the data segments with a fluctuation range of less than 10% as the same type of data segment. The method for determining the fluctuation range is as follows: record the assessment trend determined in the previous time period as P1, and the assessment trend determined in the next time period as P2, and identify whether P2 satisfies: P2∈P1±P1×10%. If yes, it means that P2 satisfies the condition of a fluctuation range of less than 10%; if no, it means that the corresponding condition is not met. For the identified data segments of the same type, the associated internal cooling temperature range and power frequency change parameter range are recorded. Simultaneously, the condensate production amount is averaged and recorded as the average production amount. The recorded relevant data is recorded as the associated benchmark. Then, the subsequent data segments of the same type but different types are confirmed in sequence, and the associated benchmarks are confirmed and recorded in sequence; Specifically, in the implementation process, based on historical related data, relevant data with similar characteristics are extracted and recorded. Subsequently, the recorded data is subjected to a standardized mean processing process, and the standard data associated with the corresponding process is identified from the process data of the recorded mean processing process. This facilitates subsequent data extraction and comparison, enabling the rapid and effective identification and matching of related data for comprehensive verification.

[0014] Third Embodiment In this embodiment, compared to the above embodiments, the main focus is on the control process of water mist generation. The specific methods for controlling the amount of water mist generated are as follows: From the working data associated with the household split inverter air conditioner, confirm the external temperature, internal cooling temperature and power frequency, and confirm the multiple sets of associated benchmarks associated with the external temperature. Then, from the internal cooling temperature range and power frequency change parameter range associated with different associated benchmarks, lock the corresponding associated benchmarks, and extract the average value from the locked associated benchmarks. The average output value is used as the control standard to ensure that the amount of water mist generated by the water mist generator per unit time is consistent with the average output value, thereby cooling the condenser.

[0015] Fourth embodiment In the specific implementation process, compared with the above embodiments, this embodiment mainly focuses on the debugging process of the condenser's specific operating state; The specific method for identifying the corresponding operating status of a household split inverter air conditioner is as follows: Based on the actual working efficiency of household split inverter air conditioners, the associated standard cooling efficiency is confirmed. The standard cooling efficiency is a preset value. Different actual working efficiencies correspond to different standard cooling efficiencies, and their specific values ​​are all set in advance by the relevant operators. The monitored inlet air temperature is marked as Wr, and the monitored outlet air temperature is marked as Wc. The actual cooling characteristic is then confirmed by using the formula: Actual cooling characteristic = (Wr - Wc) ÷ Wr. Identify the numerical difference between the actual cooling characteristics and the standard cooling efficiency. If (standard cooling efficiency - actual cooling characteristics) ≥ 5%, it means that the actual and standard are significantly different, and a signal to be adjusted is directly generated. Otherwise, the household split inverter air conditioner in cooling state is continuously monitored in real time. The specific method for real-time adjustment of water mist generation based on the generated signal to be adjusted is as follows: Based on the generated signal to be debugged, the water mist generation is adjusted upward by a set of numerical units: the current water mist generation is set as SW, then the set of numerical units is (SW×10%). During the subsequent cooling process, the corresponding numerical units are adjusted in real time based on the real-time confirmed water mist generation, and the actual cooling characteristics are recorded in real time. It is confirmed whether the actual cooling characteristics have increased. If they have increased, the water mist generation is continuously adjusted according to the debugging direction until (standard cooling efficiency - actual cooling characteristics) < 5%. If the actual cooling characteristics have not increased, the water mist generation is adjusted downward by a set of numerical units based on the confirmed relevant values, and the water mist generation is continuously adjusted according to the debugging direction until (standard cooling efficiency - actual cooling characteristics) < 5%. Specifically, in the actual processing, although the condenser is in a standard cooling state, sometimes there may be too much or too little cooling. When this happens, the working state of the condenser will deviate, and the corresponding refrigeration characteristics will have related errors. Based on the corresponding errors, the amount of water mist generated needs to be adjusted in real time to ensure that the condenser is in the best operating state and can achieve a sufficient cooling effect.

[0016] 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.

[0017] 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 control method for water resource recycling and energy saving in a household split-type inverter air conditioner, characterized in that, Includes the following steps: Step 1: From the historical cooling data associated with the household split inverter air conditioner, using the external temperature as the variable benchmark, confirm the relationship between the internal cooling temperature and the power frequency change parameters and the amount of condensate generated, and lock the associated benchmark based on the confirmation process and record it. Step 2: Based on the locked correlation benchmark, monitor the working data in the working state in real time, and based on the real-time monitored working data, confirm the corresponding correlation benchmark, and control the water mist generation of the water mist generator based on the correlation benchmark, and cool the condenser. Step 3: During the cooling process of the condenser, compare the actual cooling characteristics and standard cooling efficiency associated with the household split inverter air conditioner to identify the working status of the household split inverter air conditioner. Based on the identified working status, adjust the water mist generation in real time to ensure that the condenser is in the optimal operating state.

2. The control method for water resource recycling and energy saving in a household split-type inverter air conditioner according to claim 1, characterized in that, In step one, the specific method for confirming the associated benchmark is as follows: From historical refrigeration data, refrigeration data belonging to the same external temperature are labeled as the same type of data; From the calibrated data of the same type, the average amount of condensate generated associated with the same internal cooling temperature and the same power frequency change parameter is processed and recorded as the average amount of condensate generated associated with the corresponding condensate. The change data belonging to the same change process is extracted, and from the extracted change data, the temperature change trend W associated with the internal cooling temperature in the corresponding time period is identified. The power frequency change trend Q associated with the power frequency change parameter is identified simultaneously. Then, the change trend C of the condensate generated in the corresponding time period is confirmed. The evaluation trend associated with the corresponding time period is confirmed by using: C÷[(Q×W)÷2]=P. The change data segment with a fluctuation range of less than 10% in the evaluation trend is recorded as the same type of data segment. For the identified data segments of the same type, the associated internal cooling temperature range and power frequency change parameter range are recorded. Simultaneously, the condensate production amount is averaged and recorded as the average production amount. The recorded relevant data is recorded as the associated benchmark. Then, the data segments of the same type but different types are confirmed in sequence, and the associated benchmarks are confirmed and recorded in sequence.

3. The control method for water resource recycling and energy saving in a household split-type inverter air conditioner according to claim 2, characterized in that, The floating range is determined as follows: the evaluation trend determined in the previous period is denoted as P1, and the evaluation trend determined in the next period is denoted as P2. It is then identified whether P2 satisfies: P2∈P1±P1×10%. If so, it means that P2 satisfies the condition that the floating range is less than 10%. If not, it means that the corresponding condition is not met.

4. The control method for water resource recovery and energy saving in a household split-type inverter air conditioner according to claim 1, characterized in that, In step two, the specific method for controlling the amount of water mist generated is as follows: From the working data associated with the household split inverter air conditioner, confirm the external temperature, internal cooling temperature and power frequency, and confirm the multiple sets of associated benchmarks associated with the external temperature. Then, from the internal cooling temperature range and power frequency change parameter range associated with different associated benchmarks, lock the corresponding associated benchmarks, and extract the average value from the locked associated benchmarks. The average output value is used as the control standard to ensure that the amount of water mist generated by the water mist generator per unit time is consistent with the average output value, thereby cooling the condenser.

5. The control method for water resource recycling and energy saving in a household split-type inverter air conditioner according to claim 1, characterized in that, In step three, the specific method for identifying the corresponding working status of a household split inverter air conditioner is as follows: Based on the actual working efficiency of household split inverter air conditioners, the associated standard cooling efficiency is confirmed. The standard cooling efficiency is a preset value, and different actual working efficiencies correspond to different standard cooling efficiencies. The monitored inlet air temperature is marked as Wr, and the monitored outlet air temperature is marked as Wc. The actual cooling characteristic is then confirmed by using the formula: Actual cooling characteristic = (Wr - Wc) ÷ Wr. Identify the numerical difference between the actual cooling characteristics and the standard cooling efficiency. If the difference between the standard cooling efficiency and the actual cooling characteristics is ≥5%, a signal to be adjusted is directly generated.

6. The control method for water resource recycling and energy saving in a household split-type inverter air conditioner according to claim 5, characterized in that, If the standard cooling efficiency minus the actual cooling characteristics is less than 5%, then the household split inverter air conditioner in cooling state will be continuously monitored in real time.

7. The control method for water resource recycling and energy saving in a household split-type inverter air conditioner according to claim 5, characterized in that, In step three, the specific method for real-time adjustment of the water mist generation based on the generated signal to be adjusted is as follows: Based on the generated signal to be debugged, the water mist generation is adjusted upward by a set of numerical units: the current water mist generation is set as SW, then the set of numerical units is (SW×10%). In the subsequent cooling process, the corresponding numerical units are adjusted in real time based on the real-time confirmed water mist generation, and the actual cooling characteristics are recorded in real time. It is confirmed whether the actual cooling characteristics have increased. If they have increased, the water mist generation is continuously adjusted according to the debugging direction until the standard cooling efficiency - actual cooling characteristics < 5%.

8. The control method for water resource recycling and energy saving in a household split-type inverter air conditioner according to claim 7, characterized in that, If the actual cooling characteristics do not increase, the water mist generation rate will be reduced by one set of units based on the confirmed relevant values, and the water mist generation rate will continue to be adjusted according to the adjustment direction until the standard cooling efficiency - actual cooling characteristics < 5%.

Images