Air conditioning energy saving method, device, electronic equipment and storage medium

By obtaining the actual temperature and set temperature of each partition of the air conditioning system in real time, calculating the refrigerant flow and temperature, predicting the target cycle and dynamically adjusting the refrigerant opening valve, the problem of difficulty in dynamically adapting to environmental changes in the air conditioning system is solved, and efficient energy utilization and user experience are improved.

CN119353766BActive Publication Date: 2025-03-21SHANDONG ZHONGDA ENG TECH CO LTD
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Patent Information

Application Number
CN202411966223.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-30
Publication Date
2025-03-21
Estimated Expiration
2044-12-30

AI Technical Summary

Technical Problem

Existing air conditioning systems are difficult to dynamically adapt to environmental changes when regulating indoor temperature, resulting in waste of energy, and traditional fixed temperature settings and timed switch-offs cannot meet personalized needs.

Method used

By obtaining the actual temperature of each partition in the current space in real time, determining the set temperature, and calculating the refrigerant flow rate and refrigerant temperature required for each partition, predicting the target cycle, and dynamically adjusting the refrigerant opening valve to achieve accurate temperature regulation.

Benefits of technology

It improves the efficiency of temperature management, enhances the adaptability and flexibility of the system, reduces the impact on space users, and saves the energy of the air conditioner while ensuring user experience.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The present application relates to the field of air conditioning system control, and in particular to an air conditioning energy-saving method, device, electronic device and storage medium. The method includes: the present application obtains the actual temperature of each partition of the current space in real time, thereby ensuring the accuracy and immediacy of the temperature data, and determines the set temperature of each partition in the current cycle, that is, the ideal temperature state that the space needs to reach, which helps to clarify the goal and direction of temperature control. By using the difference between the actual temperature and the set temperature, the refrigerant flow and refrigerant temperature required for each partition are calculated, and by predicting the target cycle required for each partition to reach the set temperature from the actual temperature, a scientific basis is provided for the time arrangement of temperature control. According to the refrigerant flow and refrigerant temperature corresponding to each partition, the refrigerant opening valve is adjusted within the corresponding target cycle, so that the energy of the air conditioner is further saved while ensuring the user experience in the current space.
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Description

Technical Field

[0001] The present application relates to the field of air conditioning system control, and in particular to an air conditioning energy-saving method, device, electronic equipment and storage medium. Background Art

[0002] Air conditioning system is an indispensable part of modern buildings, used to adjust indoor temperature, humidity and other environmental parameters to improve living comfort and work efficiency. In large public buildings, such as office buildings, shopping malls, hotels and other places, air conditioning is used for a long time and consumes a lot of energy. The energy consumption of air conditioning system accounts for about 40%-60% of the total building operation energy consumption. Therefore, energy saving of air conditioning system is the key to building energy saving. By adopting air conditioning energy saving system, energy consumption can be significantly reduced, energy utilization efficiency can be improved, and the impact on the environment can be reduced.

[0003] In order to deal with the problem of high energy consumption of air-conditioning systems, existing technical means mainly include fixed temperature settings and timed on / off. Fixed temperature settings refer to setting the air-conditioning system to run at a constant temperature value. Although the operation is simple, it is difficult to meet personalized needs in different time periods and different usage scenarios. Timed on / off controls the start and stop time of the air conditioner through a pre-set program, which can save energy to a certain extent, but cannot dynamically adapt to environmental changes.

[0004] However, the above traditional methods still have certain limitations in practical applications. For example, fixed temperature settings and timed on / off cannot be dynamically adjusted according to real-time environmental conditions, resulting in energy waste. Therefore, how to further save energy while ensuring user experience has become an urgent problem to be solved. Summary of the invention

[0005] In order to further save energy while ensuring user experience, the present application provides an air conditioning energy saving method, device, electronic device and storage medium.

[0006] In the first aspect, the present application provides an air conditioning energy saving method, which adopts the following technical solution:

[0007] An air conditioning energy saving method, comprising:

[0008] Get the actual temperature corresponding to each partition of the current space;

[0009] Determine a set temperature corresponding to each partition of the current space in a current cycle, wherein the set temperature is a temperature that the current space needs to reach;

[0010] Based on the actual temperature and the set temperature corresponding to each partition of the current space, determine the refrigerant flow rate and the refrigerant temperature corresponding to each partition;

[0011] Predicting a target period corresponding to each partition, wherein the target period represents the time required for the partition temperature to change from the actual temperature to the set temperature;

[0012] According to the refrigerant flow and refrigerant temperature corresponding to each zone, adjust the corresponding refrigerant opening valve within the corresponding target cycle.

[0013] By adopting the above technical solution, the actual temperature of each partition in the current space is obtained in real time, the accuracy and immediacy of the temperature data are ensured, and the set temperature of each partition in the current cycle is determined, that is, the ideal temperature state that the space needs to achieve, which helps to clarify the goal and direction of temperature control. The difference between the actual temperature and the set temperature is used to calculate the refrigerant flow and refrigerant temperature required for each partition, and the target cycle required for each partition to reach the set temperature from the actual temperature is predicted, which provides a scientific basis for the time arrangement of temperature control. This not only helps to plan control measures in advance, but also minimizes the impact on space users while ensuring that the temperature meets the standard. Finally, according to the refrigerant flow and refrigerant temperature corresponding to each partition, the refrigerant opening valve is adjusted within the corresponding target cycle. This dynamic control method not only improves the efficiency of temperature management, but also enhances the adaptability and flexibility of the system, so that the energy of air conditioning can be further saved while ensuring the user experience in the current space.

[0014] In a possible implementation, the set temperature corresponding to each partition of the current space in the current cycle is determined, and the process of determining the set temperature corresponding to each partition in the current cycle includes:

[0015] Acquire the outdoor temperature corresponding to the current space, and determine the optimal indoor temperature corresponding to the outdoor temperature;

[0016] Obtaining the temperature zone level corresponding to the partition, and predicting the predicted flow of people in the partition in the current period;

[0017] The set temperature corresponding to the partition is determined based on the temperature zone level corresponding to the partition, the predicted human flow and the indoor temperature.

[0018] By adopting the above technical solution, the set temperature corresponding to each partition in the current cycle is determined by comprehensively considering multiple factors such as outdoor temperature, partition temperature zone level and predicted human flow. This solution not only improves the comfort of the indoor environment, but also realizes the efficient use of energy, which is of great significance for improving the overall environmental quality and saving energy consumption.

[0019] In a possible implementation, determining the optimal temperature corresponding to the outdoor temperature includes:

[0020] Obtaining the relative humidity and the corresponding air conditioning wind speed corresponding to the partition;

[0021] Based on the outdoor temperature, the relative humidity corresponding to the partitions, and the corresponding air-conditioning wind speeds, an optimal temperature corresponding to the outdoor temperature is determined.

[0022] By adopting the above technical solution, the optimal temperature corresponding to the outdoor temperature is determined by comprehensively considering the relative humidity of the partition, the air conditioning wind speed, and the outdoor temperature. This not only improves the comfort and stability of the indoor environment, but also helps to achieve the rational use of energy and energy conservation and emission reduction goals, and has important practical application value.

[0023] In a possible implementation, determining the set temperature corresponding to the partition based on the temperature zone level corresponding to the partition, the predicted flow of people, and the indoor temperature includes:

[0024] Obtaining the characteristic temperature corresponding to the temperature zone level, and obtaining the maximum capacity corresponding to the partition;

[0025] Determine the maximum passenger flow corresponding to the maximum capacity;

[0026] Based on formula 1: , calculate the set temperature corresponding to the partition, where, To set the temperature, is the indoor temperature, is the characteristic temperature, P is the predicted flow of people, is the maximum flow of people, a, b and c are the preset coefficients respectively.

[0027] By adopting the above technical solutions, by comprehensively considering multiple factors such as outdoor temperature, relative humidity, air conditioning wind speed, zone temperature level, predicted flow of people, and using innovative formula calculations, we have successfully achieved the accurate determination of the optimal temperature corresponding to the outdoor temperature and the set temperature of each zone. This not only improves the comfort of the indoor environment and user satisfaction, but also helps to achieve rational use of energy and energy conservation and emission reduction.

[0028] In a possible implementation, based on the actual temperature and the set temperature corresponding to each partition of the current space, the refrigerant flow rate and the refrigerant temperature corresponding to each partition are determined, and the process of determining the refrigerant flow rate and the refrigerant temperature corresponding to each partition includes:

[0029] Obtaining a partition volume corresponding to the partition, and determining an air mass corresponding to the partition volume;

[0030] Obtaining the refrigerant temperature difference corresponding to the partition;

[0031] Based on the air quality and the actual temperature and set temperature corresponding to the partition, calculate the demand corresponding to the partition;

[0032] Based on formula 2: , calculate the refrigerant flow corresponding to the partition, where, is the refrigerant mass flow rate, Q is the demand, is the specific heat capacity of water, is the refrigerant temperature difference;

[0033] Determine the refrigerant temperature loss corresponding to the partition;

[0034] Based on formula 3: , calculate the refrigerant temperature corresponding to the partition, where: is the refrigerant temperature, is the refrigerant temperature loss.

[0035] By adopting the above technical solution, the volume of each partition is obtained and the corresponding air quality is determined accordingly, and the refrigerant temperature difference corresponding to the partition is taken into account. The refrigerant temperature difference reflects the temperature change of the refrigerant in the heat exchanger. By reasonably setting this temperature difference, it is possible to ensure that the refrigerant maintains high heat exchange efficiency during the transmission process, thereby improving the performance of the entire refrigeration system. By comprehensively considering the air quality, actual temperature and set temperature, the demand for each partition is obtained using the calculation formula. This step ensures the precise matching of the demand, which not only avoids the decrease in comfort caused by insufficient cooling, but also prevents energy waste caused by excessive cooling. After determining the demand, the refrigerant flow corresponding to each partition is further calculated using formula 2. By accurately adjusting the refrigerant flow, the temperature of each partition can be accurately controlled to ensure the stability and comfort of the indoor temperature. By considering the temperature loss of the refrigerant during the transmission process, the refrigerant temperature corresponding to each partition is calculated by formula 3. This ensures that the refrigerant still has sufficient cooling capacity when it reaches each partition, ensuring the effectiveness and reliability of the entire refrigeration system.

[0036] In a possible implementation, a target period corresponding to each partition is predicted, and a prediction process of a target period corresponding to each partition includes:

[0037] predicting occupant heat generation in the partition over future periods;

[0038] Determine the air conditioning capacity of the zone air conditioner corresponding to the zone, where the air conditioning capacity includes heating capacity and cooling capacity;

[0039] Based on the air conditioning capacity corresponding to the partition, the corresponding space heat capacity and the personnel heat, the temperature change duration is calculated to obtain the target period corresponding to the partition.

[0040] By adopting the above technical solution, the human heat generated in each partition in the future cycle is predicted, the impact of human activities on the indoor temperature is fully considered, and the air conditioning capacity of the partition air conditioner corresponding to each partition is determined, including heating capacity and cooling capacity. By understanding the air conditioning capacity of each partition, the ability of the partition to adjust the indoor temperature in the future can be more accurately predicted, so as to more accurately calculate the temperature change duration. Based on the air conditioning capacity, space heat capacity and human heat corresponding to the partition, the temperature change duration is calculated, and then the target cycle corresponding to each partition is determined.

[0041] In a possible implementation, after adjusting the corresponding refrigerant opening valve within the corresponding target cycle according to the refrigerant flow and refrigerant temperature corresponding to each partition, the method further includes:

[0042] Determine a stable period corresponding to each partition based on the current period and the target period corresponding to each partition, wherein the stable period is a time period in the current period excluding the target period;

[0043] Determine the stable refrigerant flow and stable refrigerant temperature corresponding to each partition of the current space within the stable period, and adjust the corresponding refrigerant opening valve within the corresponding stable period according to the stable refrigerant flow and stable refrigerant temperature corresponding to each partition.

[0044] By adopting the above technical solution, by comprehensively considering the target cycle and the stable cycle, and formulating adjustment strategies for the refrigerant flow and temperature respectively, fine control of the indoor temperature over the entire cycle is achieved.

[0045] In a second aspect, the present application provides an air conditioning energy-saving device, which adopts the following technical solution:

[0046] An air conditioning energy-saving device, comprising:

[0047] The acquisition module is used to obtain the actual temperature corresponding to each partition of the current space;

[0048] A first determination module is used to determine the set temperature corresponding to each partition of the current space in the current cycle, where the set temperature is the temperature that the current space needs to reach;

[0049] A second determination module is used to determine the refrigerant flow rate and refrigerant temperature corresponding to each partition based on the actual temperature and set temperature corresponding to each partition of the current space;

[0050] A prediction module, used to predict a target period corresponding to each partition, wherein the target period represents the time required for the partition temperature to change from the actual temperature to the set temperature;

[0051] The adjustment module is used to adjust the corresponding refrigerant opening valve within the corresponding target cycle according to the refrigerant flow and refrigerant temperature corresponding to each zone.

[0052] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0053] An electronic device, comprising:

[0054] at least one processor;

[0055] Memory;

[0056] At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the air conditioning energy saving method described in the first aspect above.

[0057] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0058] A computer-readable storage medium includes: a computer program that can be loaded by a processor and execute the air-conditioning energy-saving method described in the first aspect.

[0059] In summary, this application includes the following beneficial technical effects:

[0060] By obtaining the actual temperature of each partition in the current space in real time, the accuracy and immediacy of the temperature data are ensured, and the set temperature of each partition in the current cycle is determined, that is, the ideal temperature state that the space needs to achieve, which helps to clarify the goal and direction of temperature control. Using the difference between the actual temperature and the set temperature, the required refrigerant flow and refrigerant temperature of each partition are calculated, and by predicting the target cycle required for each partition to reach the set temperature from the actual temperature, a scientific basis is provided for the time arrangement of temperature control. This not only helps to plan control measures in advance, but also minimizes the impact on space users while ensuring that the temperature meets the standard. Finally, according to the refrigerant flow and refrigerant temperature corresponding to each partition, the refrigerant opening valve is adjusted within the corresponding target cycle. This dynamic control method not only improves the efficiency of temperature management, but also enhances the adaptability and flexibility of the system, so that the energy of air conditioning can be further saved while ensuring the user experience in the current space. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 It is a flow chart of an air conditioning energy saving method provided in an embodiment of the present application;

[0062] Figure 2 is a block diagram of an air conditioning energy-saving device provided in an embodiment of the present application;

[0063] Figure 3 It is a schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0064] The following is combined with Figure 1 -Attached Figure 3 This application is described in further detail.

[0065] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0066] In order to facilitate understanding of the technical solution proposed in this application, several elements introduced in the description of this application are first introduced here. It should be understood that the following introduction is only for the convenience of understanding these elements, so as to understand the content of the embodiments of this application, and does not necessarily cover all possible situations.

[0067] The air conditioning energy saving method is applied to the air conditioning energy saving system, which includes multiple branches, wherein the cooling cycle of the air conditioning system involves a cooling tower (also called a cooling tower), a water pump, a chiller (refrigeration machine), and the pipe connections and control mechanisms between them. Specifically:

[0068] Cooling tower: The water in the cooling tower (usually water heated by the chiller condenser) is dispersed into fine water droplets through the spray device, and heat is exchanged with the air outside the tower. When the water droplets evaporate, they take away heat, thereby reducing the water temperature.

[0069] Water pump: Driven by the motor, the water pump impeller rotates to generate pressure, transporting cooling water from the cooling tower to the condenser of the chiller, and sending the cooled water from the condenser back to the cooling tower.

[0070] Chiller: The refrigerant exchanges heat with the cooling water in the condenser, transfers heat to the cooling water, and condenses itself into liquid; then it evaporates in the evaporator, absorbs the heat of the chilled water, and reduces the temperature of the chilled water (usually the medium used by the air conditioning system to cool the air or objects) to the required set value.

[0071] Pipeline connection: Connect the cooling tower, water pump, chiller and other components to form a closed cooling circulation system.

[0072] Large temperature difference and small flow rate is an energy-saving concept applied in heat exchange systems such as air conditioning water systems. The temperature difference of traditional air conditioning water systems is relatively small (such as the supply and return water temperature difference is 5-7℃), and the flow rate is large. "Large temperature difference and small flow rate" is to increase the supply and return water temperature difference through technical means (for example, it can reach 8-10℃ or even higher), and reduce the water flow rate accordingly.

[0073] In the application of air-conditioning systems, especially in large public buildings, hotels, industrial plants and other scenarios, conventional temperature difference air-conditioning systems simply rely on increasing flow rates to ensure terminal heat supply, which causes the water pipe diameter and water pump power to increase, and then leads to an increase in initial construction investment and total energy consumption. At the same time, the overall energy efficiency of the system is at a low level and it is difficult to flexibly optimize and coordinate according to actual conditions. It is impossible to achieve a balance between meeting the terminal heat demand and achieving energy-saving and efficient operation, which has become a key technical problem restricting the economic, efficient and sustainable operation of the air-conditioning system.

[0074] In view of this, the present application embodiment provides an air conditioning energy saving method, such as Figure 1 As shown, the method provided in the embodiment of the present application is performed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application. The method includes steps S101 to S105, wherein:

[0075] Step S101: Obtain the actual temperature corresponding to each partition of the current space.

[0076] The current space can be a large space such as a shopping mall or an office building, or a small space such as a studio corresponding to a certain floor in an office building. When the current space is a large space, it can be divided into multiple partitions according to the floor corresponding to the current space and the area corresponding to each floor; when the current space is a small space, it can be divided into multiple partitions according to the area of ​​the current space. At least one temperature sensor is installed in a partition, and the electronic device establishes a communication connection with the temperature sensors distributed in each partition of the current space, and receives the actual temperature data of each partition in real time. These temperature sensors can be high-precision thermistor sensors or thermocouple sensors, which can accurately measure the indoor temperature and transmit the data to the electronic device.

[0077] Step S102: Determine the set temperatures corresponding to the respective partitions of the current space in the current cycle.

[0078] The set temperature is the temperature that the current space needs to reach. Specifically, the electronic device can read the set temperature information corresponding to each partition of the current space from the database corresponding to the current space. The set temperature can be preset according to user needs, building functional area planning, or based on time, season and other factors. For example, the office area is set to 24°C during working hours, the rest area is set to 26°C, etc., and this embodiment of the application is not limited to this.

[0079] Step S103: based on the actual temperature and set temperature corresponding to each partition of the current space, determine the refrigerant flow rate and refrigerant temperature corresponding to each partition.

[0080] After obtaining the actual temperature and set temperature corresponding to each partition, for each partition, the demand for the air conditioner corresponding to the partition can be calculated based on the difference between the actual temperature and the set temperature corresponding to the partition. The demand is cooling capacity or heating capacity, and based on the demand, the refrigerant flow and refrigerant temperature corresponding to the partition are determined. Specifically, the difference between the actual temperature and the set temperature corresponding to the partition is calculated (the difference can be positive or negative), and the volume and density corresponding to the partition are obtained from the database corresponding to the current space. Based on the air mass in the partition = partition volume * air density, the specific heat capacity of the air is obtained, and based on the demand = air mass * specific heat capacity * the difference between the actual temperature and the set temperature, the demand corresponding to the partition is calculated. Among them, when the calculated demand is a positive value, the demand for the partition is cooling demand. Similarly, when the calculated demand is a negative value, the demand for the partition is heating capacity. It is worth noting that the demand for each partition is obtained in the above manner.

[0081] Further, after obtaining the demand for each partition, for each partition, the refrigerant flow corresponding to the partition can be calculated based on the concept of large temperature difference and small flow, and based on the demand corresponding to the partition. Specifically, since it is necessary to consider the concept of large temperature difference and small flow, the preset temperature value is obtained from the database corresponding to the current space, and the condenser inlet and outlet temperature difference is increased to the preset temperature value (for example, from the traditional 5°C to 8°C). Since the refrigerant and water will exchange heat in the condenser and evaporator, the refrigerant flow can be calculated based on the heat exchange relationship between the refrigerant and water in the condenser and evaporator and the preset temperature value corresponding to the condenser inlet and outlet temperature difference. More specifically, the specific heat capacity of water (generally 4.2kj / (kg*℃)) is obtained from the database corresponding to the current space, and the refrigerant flow is calculated based on the refrigerant flow = absolute value of the demand / (specific heat capacity of water*preset temperature value). Among them, the preset temperature value of the condenser inlet and outlet temperature difference can be obtained according to the determination of the performance parameters of the air-conditioning equipment, and the embodiment of the present application is not limited to this.

[0082] The determination of the refrigerant temperature generally needs to consider the heat exchange efficiency of the condenser and the working state of the evaporator. In the refrigeration cycle, the refrigerant changes from gas to liquid in the condenser, releasing heat to the condensed water. Therefore, in order to ensure effective heat exchange, the condensed water inlet temperature T1 is lower than the refrigerant outlet temperature T2. The refrigerant temperature can be calculated based on T1 and T2. Specifically, for each partition, when the demand for the partition is a positive value, that is, when the demand corresponding to the partition is a cooling demand, the determination process of the refrigerant temperature of the partition can be: obtain the condensed water inlet temperature T1 and the refrigerant temperature loss value Ts corresponding to the current moment from the database corresponding to the current space, and obtain the refrigerant temperature of the partition based on T2=T1+Ts+Ty. Among them, Ty is a preset temperature parameter.

[0083] In the outdoor heat exchanger (which acts as an evaporator at this time), the refrigerant changes from liquid to gas, absorbing heat, and the outdoor cold air flows through the evaporator. Therefore, the temperature T3 of the refrigerant is lower than the dew point temperature T4 of the outdoor air, so that the refrigerant can absorb heat from the low-temperature outdoor environment. For each partition, when the demand of the partition is a negative value, that is, when the demand corresponding to the partition is a heating demand, the process of determining the refrigerant temperature of the partition can be: obtain the current outdoor temperature measured by the temperature sensor located outdoors and connected to the electronic device to obtain T4, and obtain the performance coefficient α and input power p of the compressor from the database corresponding to the current space, based on ΔT=Q / (α*p), obtain the temperature increase (in the compressor, the temperature of the refrigerant will increase, and the temperature increase is the temperature increase of the refrigerant), and based on T4=T3+ΔT, obtain the refrigerant temperature of the partition.

[0084] Step S104: predict the target period corresponding to each partition.

[0085] The target cycle represents the time required for the partition temperature to change from the actual temperature to the set temperature.

[0086] For each partition, the heat capacity of the partition is calculated based on the air mass and air specific heat capacity corresponding to the partition, and the time required for the partition temperature of the partition to change from the actual temperature to the set temperature is calculated based on the absolute value of the demand, the heat capacity, and the absolute value of the temperature difference between the actual temperature and the set temperature corresponding to the partition, that is, the target cycle corresponding to the partition. Specifically, based on heat capacity = air mass * air specific heat capacity, the heat capacity corresponding to the partition is obtained, and based on the time required for the partition temperature to change from the actual temperature to the set temperature = heat capacity * the absolute value of the temperature difference between the actual temperature and the set temperature / absolute value of demand, the time required for the partition temperature to change from the actual temperature to the set temperature is calculated, and the period between the current moment and the moment after the above required time from the current moment is taken as the target cycle corresponding to the partition.

[0087] Step S105: adjusting the corresponding refrigerant opening valve within the corresponding target cycle according to the refrigerant flow and refrigerant temperature corresponding to each zone.

[0088] After obtaining the refrigerant flow and refrigerant temperature corresponding to each partition, a control signal can be sent to the refrigerant opening valve in the air conditioning system according to the calculated refrigerant flow and target cycle corresponding to each partition. The generation of the control signal is based on the control algorithm built into the electronic device, which determines the opening size and adjustment time interval of the opening valve according to the refrigerant flow and target cycle. For example, for partitions with large refrigerant flow and short target cycle, the electronic device will send a signal to quickly open the opening valve to a larger opening to ensure that the required refrigerant flow is reached within the specified time; while for partitions with small refrigerant flow and long target cycle, the opening valve will be controlled to open slowly to a suitable opening to avoid energy waste or excessive temperature fluctuations caused by excessive refrigerant flow. The electronic device transmits the control signal to the actuator of the opening valve through the communication interface (such as RS485 serial port, Ethernet interface, etc.) with the air conditioning system. The actuator adjusts the opening of the opening valve according to the signal, thereby realizing precise control of the refrigerant flow to achieve the purpose of air conditioning energy saving.

[0089] The embodiment of the present application provides an air conditioning energy-saving method, which ensures the accuracy and immediacy of temperature data by obtaining the actual temperature of each partition of the current space in real time, and determines the set temperature of each partition in the current cycle, that is, the ideal temperature state that the space needs to reach, which helps to clarify the goal and direction of temperature control. By using the difference between the actual temperature and the set temperature, the refrigerant flow and refrigerant temperature required for each partition are calculated, and by predicting the target cycle required for each partition to reach the set temperature from the actual temperature, a scientific basis is provided for the time arrangement of temperature control. This not only helps to plan control measures in advance, but also minimizes the impact on space users while ensuring that the temperature meets the standard. Finally, according to the refrigerant flow and refrigerant temperature corresponding to each partition, the refrigerant opening valve is adjusted within the corresponding target cycle. This dynamic control method not only improves the efficiency of temperature management, but also enhances the adaptability and flexibility of the system, so that the energy of air conditioning is further saved while ensuring the user experience in the current space.

[0090] In a possible implementation of the embodiment of the present application, in the above step S102, the set temperature corresponding to each partition of the current space in the current cycle is determined, and the process of determining the set temperature corresponding to each partition in the current cycle includes:

[0091] Get the outdoor temperature corresponding to the current space and determine the optimal indoor temperature corresponding to the outdoor temperature;

[0092] Get the temperature zone level corresponding to the partition and predict the predicted flow of people in the partition in the current period;

[0093] Determine the set temperature corresponding to the zone based on the temperature zone level corresponding to the zone, predicted traffic flow and indoor temperature.

[0094] Among them, the temperature zone level information of each partition can be read from the database corresponding to the current space. These level information are pre-set according to the functional layout of the building. For example, the atrium area of ​​the shopping mall is set as a high temperature level area because it has an open space, large personnel mobility, and more lighting and equipment heat dissipation; the conference room in the office area is set as a medium temperature level area, which is relatively closed and has more regular personnel activities; areas with strict temperature requirements such as data centers are set as low temperature levels. The information in the database can be entered during the building design stage and can be adjusted and updated according to actual usage. Among them, a temperature zone level corresponds to a temperature zone level characteristic temperature.

[0095] Specifically, electronic devices establish wireless or wired connections with high-precision temperature sensors installed outdoors to obtain outdoor temperature data corresponding to the current space in real time. Among them, these temperature sensors should have good stability and accuracy, and be able to accurately measure outdoor temperatures under different climatic conditions. For example, platinum resistance temperature sensors can be used with a measurement accuracy of ±0.15°C. Data transmission can be carried out by transmitting outdoor temperature data to electronic devices via Wi-Fi, Bluetooth, or a dedicated data line connection. For example, in a large commercial building, the outdoor temperature sensor transmits data to the electronic devices in the building management system via a Wi-Fi network.

[0096] Furthermore, after obtaining the outdoor temperature, for each partition, the outdoor temperature is substituted into the linear regression model corresponding to the current space to calculate the corresponding optimal indoor temperature. Among them, the linear regression model corresponding to the current space is , For the best indoor temperature, is the outdoor temperature, and It is a coefficient determined according to different regions and building types. For example, in office buildings in temperate regions, is 0.5, is 15, when the outdoor temperature is 20℃, the calculation is =0.5*20+15=25℃.

[0097] Furthermore, for each partition, personnel flow monitoring sensors (such as infrared sensors, cameras combined with image recognition technology, etc.) installed at the partition entrance and key internal locations are used to collect personnel flow data. By analyzing historical personnel flow data, time series analysis algorithms (such as ARIMA models) are used to predict the personnel flow of each partition in the current cycle. For example, for the clothing sales partition of a shopping mall, the personnel flow data of the same time period in the past week was analyzed, and it was found that the personnel flow showed a periodic peak from 2 to 5 pm on weekends. Combined with factors such as the current date, time, and promotional activities, the ARIMA model is used to predict the personnel flow of the partition in the current cycle. At the same time, the personnel flow forecast can also be corrected in combination with external data, such as the popularity of the mall on social media, surrounding traffic congestion, etc., to improve the accuracy of the forecast.

[0098] Furthermore, for each partition, based on the acquired information, a weighted calculation model can be used to determine the set temperature corresponding to the partition. Specifically, the benchmark flow of people corresponding to the partition is obtained from the database corresponding to the current space, and the weighted calculation model is used: , calculate the set temperature corresponding to the partition, where To set the temperature, For the best indoor temperature, is the temperature zone grade weight, is the temperature zone level characteristic temperature corresponding to the partition, The weight of human traffic, k is the human traffic adjustment coefficient, P is the predicted human traffic, The flow rate adjustment coefficient, flow rate weight, and temperature zone level weight can be set according to actual conditions, and the present application embodiment does not limit this. For example, for an office partition in a medium temperature level zone (characteristic temperature is 24°C), the optimal indoor temperature is 22°C, and the temperature zone level weight is =0.5, traffic weight =0.5, the flow adjustment coefficient k=0.1℃ / person, the predicted flow is 20 people, and the reference flow is 10 people, then =22+0.5(24-22)+0.5*0.1*(20-10)=23.5℃.

[0099] A possible implementation of the embodiment of the present application, in the above embodiment, determining the optimal temperature corresponding to the outdoor temperature includes:

[0100] Get the relative humidity and air conditioning wind speed corresponding to the partition;

[0101] Based on the outdoor temperature, the relative humidity corresponding to the zone and the corresponding air conditioning wind speed, the optimal temperature corresponding to the outdoor temperature is determined.

[0102] Specifically, the electronic device can obtain the relative humidity data corresponding to each partition by connecting to the humidity sensors distributed in each partition. Among them, the humidity sensor can be a capacitive humidity sensor or a resistive humidity sensor. The capacitive humidity sensor measures humidity by detecting the change in the sensor capacitance value caused by water vapor in the air. It has high accuracy and can accurately convert humidity information into electrical signals and transmit them to electronic devices. For example, in a large office area, multiple humidity sensors are installed in different office rooms and corridors, and the relative humidity data is sent to the electronic device in real time through wired (such as RS-485 bus) or wireless (such as ZigBee protocol) communication methods. Furthermore, the air conditioning wind speed information corresponding to each partition is obtained from the database corresponding to the current space.

[0103] Furthermore, after obtaining the outdoor temperature, the relative humidity corresponding to the partition, and the air conditioning wind speed, the thermal comfort model can be used to determine the optimal temperature. Specifically, the thermal comfort model is , where T is the outdoor temperature, H is the relative humidity, and V is the air conditioning wind speed.

[0104] A possible implementation of the embodiment of the present application, in the above embodiment, based on the temperature zone level corresponding to the zone, the predicted flow of people and the indoor temperature, the set temperature corresponding to the zone is determined, including:

[0105] Get the characteristic temperature corresponding to the temperature zone level and the maximum capacity corresponding to the partition;

[0106] Determine the maximum passenger flow corresponding to the maximum capacity;

[0107] Based on formula 1: , calculate the set temperature corresponding to the partition, where To set the temperature, is the indoor temperature, is the characteristic temperature, P is the predicted flow of people, is the maximum flow of people, a, b and c are the preset coefficients respectively.

[0108] Specifically, the characteristic temperature information corresponding to each temperature zone level can be obtained from the database corresponding to the current space. For example, the building is divided into three temperature zone levels: high temperature zone, medium temperature zone, and low temperature zone. The characteristic temperature corresponding to the high temperature zone is set to 28°C, the medium temperature zone is 24°C, and the low temperature zone is 20°C. The electronic device directly extracts the corresponding characteristic temperature value by identifying the temperature zone level to which the partition belongs. For example, if a conference room partition is designated as a medium temperature zone, its corresponding characteristic temperature of 24°C can be obtained.

[0109] Further, the maximum capacity information corresponding to the partition is obtained from the database corresponding to the current space, and the historical flow data corresponding to the partition is obtained. Taking the various sales partitions of the shopping mall as an example, the maximum capacity is calculated based on the maximum number of customers that can be accommodated per square meter determined by factors such as fire safety regulations and shopping comfort. The corresponding maximum capacity value is accurately obtained by means of the identification code of the partition or spatial coordinate positioning. For example, the maximum capacity of a clothing sales partition is set to 100 people. Furthermore, the corresponding maximum flow can be determined based on the obtained maximum capacity of the partition and by analyzing the historical flow peak data. Specifically, the maximum capacity corresponding to the partition is obtained as the first number of people, and the historical flow peak data corresponding to the partition is obtained as the second number of people. At this time, the mean of the first number of people and the second number of people is calculated to obtain the maximum flow corresponding to the maximum capacity. For example, for an office partition of an office building, its maximum capacity is set to 50 people, and the historical flow peak data is 48 people, then 49 people are determined as the maximum flow corresponding to the partition.

[0110] Furthermore, after obtaining the predicted flow rate and the maximum flow rate, we can use Formula 1: , calculate the set temperature corresponding to the partition. Specifically, the indoor temperature, characteristic temperature, predicted human flow and maximum human flow corresponding to the partition are substituted into Formula 1 to obtain the set temperature corresponding to the partition. Wherein, a, b and c are preset coefficients, which are used to adjust the influence of the temperature zone level and human flow on the set temperature, which can be determined according to the actual situation, and the embodiment of the present application is not limited to this.

[0111] In a possible implementation of the embodiment of the present application, in the above step S103, based on the actual temperature and the set temperature corresponding to each partition of the current space, the refrigerant flow rate and the refrigerant temperature corresponding to each partition are determined, and the process of determining the refrigerant flow rate and the refrigerant temperature corresponding to each partition includes:

[0112] Obtain the partition volume corresponding to the partition, and determine the air mass corresponding to the partition volume;

[0113] Get the refrigerant temperature difference corresponding to the partition;

[0114] Based on the air quality and the actual and set temperatures of the zones, the demand corresponding to the zones is calculated;

[0115] Based on formula 2: , calculate the refrigerant flow corresponding to the partition, where is the refrigerant mass flow rate, Q is the demand, is the specific heat capacity of water, is the refrigerant temperature difference;

[0116] Determine the refrigerant temperature loss corresponding to the partition;

[0117] Based on formula 3: , calculate the refrigerant temperature corresponding to the partition, where is the refrigerant temperature, is the refrigerant temperature loss.

[0118] Specifically, the spatial dimension data of each partition, including the specific values ​​of length, width and height, can be extracted from the database corresponding to the current space, and then the partition volume can be calculated according to the rectangular volume formula (for partitions of regular shapes, if the partition shape is irregular, the corresponding geometric volume calculation method or approximate estimation can be used), that is, volume = length * width * height. For example, for an office partition in an office building, the database records that its length is 8 meters, width is 6 meters, and height is 3 meters, and the calculated volume of the partition is 144 cubic meters.

[0119] Furthermore, the air quality can be calculated using the relevant principles of the ideal gas state equation and known indoor environmental conditions (usually the indoor pressure is assumed to be approximately the standard atmospheric pressure). Specifically, the density of the air at the current temperature can be determined based on the indoor temperature (the average temperature or set temperature in the partition can be taken as the reference temperature, and the average temperature is assumed here) and the relationship between the density and temperature of the air under standard atmospheric pressure (the empirical formula for the change of air density with temperature or the density value at different temperatures obtained by looking up the relevant physical parameter table). For example, when the temperature is 25°C, the air density is about 1.18 kg / m3, and then according to the mass calculation formula air instruction = partition volume * air density, combined with the previously calculated partition volume of 144 cubic meters, the air mass of the partition is 196.92 kg.

[0120] Electronic devices can obtain refrigerant temperature difference data by connecting to temperature sensors in the air conditioning system corresponding to the partition. Among them, the temperature sensors are installed at the positions where the refrigerant enters and flows out of the corresponding heat exchanger (such as the evaporator or condenser, depending on whether it is a cooling or heating cycle), and can accurately measure the temperature value of the refrigerant when it enters and leaves in real time. The electronic device establishes communication with these temperature sensors through a communication interface (such as RS485 bus, Modbus protocol, etc.), reads real-time temperature data, and calculates the difference to obtain the refrigerant temperature difference. For example, the sensor measures that the temperature of the refrigerant entering the evaporator is 10°C and the temperature when it flows out is 5°C, then the refrigerant temperature difference is 5°C.

[0121] Furthermore, the difference between the actual temperature and the set temperature corresponding to the partition is calculated (the difference can be positive or negative), and the volume and density corresponding to the partition are obtained from the database corresponding to the current space. Based on the air mass in the partition = partition volume * air density, the specific heat capacity of the air is obtained, and based on the demand = air mass * specific heat capacity * difference between the actual temperature and the set temperature, the demand corresponding to the partition is calculated.

[0122] Furthermore, after obtaining the demand corresponding to the partition, the specific heat capacity of water can be obtained from the database corresponding to the current space, and the demand, the specific heat capacity of water and the temperature difference of the refrigerant can be substituted into Formula 2. In order to obtain the refrigerant mass flow rate, the refrigerant mass flow rate is used as the refrigerant flow rate corresponding to the partition.

[0123] The insulation degree and pipe length of the air conditioner corresponding to the partition are obtained, and the insulation degree and pipe length are input into a pre-established empirical model to obtain the refrigerant temperature loss coefficient outputted in the empirical model, wherein the pre-established empirical model is trained with a large number of insulation degree samples, pipe length samples, and refrigerant temperature loss coefficient samples. For example, for partitions with good insulation and short pipes, the refrigerant temperature loss is relatively small, and the temperature loss coefficient corresponding to each meter of pipe length is also small; while for partitions with poor insulation and long pipes, the refrigerant temperature loss is relatively large, and the temperature loss coefficient corresponding to each meter of pipe length is also large. Therefore, the refrigerant temperature loss value can be calculated in combination with the actual length of the refrigerant pipe in the partition and the corresponding refrigerant temperature loss coefficient.

[0124] Furthermore, after obtaining the refrigerant temperature loss, the refrigerant temperature loss, the demand corresponding to the partition, the specific heat capacity of water, and the refrigerant mass flow rate are substituted into Formula 3. In order to obtain the refrigerant temperature corresponding to the zone.

[0125] In a possible implementation of the embodiment of the present application, in the above step S104, the target period corresponding to each partition is predicted, and the prediction process of the target period corresponding to each partition includes:

[0126] Predict the occupant heat generated by the partition in future cycles;

[0127] Determine the air conditioning capacity of the zone air conditioner corresponding to the zone, and the air conditioning capacity includes heating capacity and cooling capacity;

[0128] Based on the air conditioning capacity, space heat capacity and personnel heat of the corresponding partition, the temperature change duration is calculated to obtain the target period corresponding to the partition.

[0129] Specifically, personnel flow monitoring sensors (such as infrared sensors, cameras based on deep learning, etc.) installed at the entrances and key locations of partitions can be used to collect personnel flow data. By analyzing historical personnel flow data, time series analysis algorithms (such as ARIMA models) are used to predict changes in the number of people in each partition in the future cycle. For example, for an office partition of an office building, electronic equipment analyzes the personnel flow data of the same working day in the past month and finds that there is a peak of people entering at 9-10 am and a peak of people leaving at 5-6 pm. Combined with factors such as the current date, week, and whether there are special activities, the ARIMA model is used to predict the personnel flow change curve of the partition in the future cycle (such as the next 2 hours).

[0130] It is known that each person generates different amounts of heat in different activity states. Therefore, the heat of a person can be calculated based on the predicted number of people and the standard value of per capita heat dissipation in different activity states. For example, the per capita heat dissipation in a sitting state is about 100-150W, in light activities (such as slow walking, simple office operations) it is about 150-200W, in moderate activities (such as normal office communication, a small amount of carrying) it is about 200-250W, and in heavy activities (such as strenuous exercise, high-intensity physical labor) it is about 250-350W. Based on the number of people corresponding to the partition, the number of people is evenly distributed to each different activity state to calculate the heat of the person.

[0131] Furthermore, the technical parameters of the air conditioner corresponding to the partition are read from the database corresponding to the current space, including information such as cooling capacity, heating capacity, and energy efficiency ratio. These data are usually entered into the database when the air conditioning equipment is installed, and can be matched and queried by the model of the air conditioning equipment. Then, the spatial volume is calculated according to the spatial dimensions (length, width, and height) of the partition, and then the spatial heat capacity of the partition is estimated by combining the thermophysical properties (specific heat capacity, density, etc.) of the building materials and the heat capacity of the indoor objects. For example, for a partition with a length of 10m, a width of 8m, and a height of 3m, the spatial volume is 240m³. Assuming that the comprehensive specific heat capacity of the building envelope and indoor objects is about 1.2kJ / (m³・℃), the spatial heat capacity = 240×1.2=288kJ / ℃. Among them, for different types of building partitions, such as ordinary offices, conference rooms, shopping mall halls, etc., the electronic equipment can estimate the spatial heat capacity according to pre-set templates or empirical formulas. These templates or formulas are obtained based on statistical analysis of a large amount of actual building data, and can quickly and accurately calculate the spatial heat capacity of the partition.

[0132] Furthermore, according to the heat balance principle, and based on the heat change, space heat capacity and temperature change corresponding to the partition, the temperature change duration is calculated. Specifically, the heat change includes the difference between the air conditioner demand and the heat of the person, that is, when the air conditioner is cooling, the heat change = the absolute value of the demand - the heat of the person; when the air conditioner is heating, the heat change = the absolute value of the demand + the heat of the person. Then, based on the temperature change duration = space heat capacity * temperature change / heat change. The temperature change duration corresponding to the partition is calculated.

[0133] A possible implementation of the embodiment of the present application, in the above embodiment, after adjusting the corresponding refrigerant opening valve within the corresponding target cycle according to the refrigerant flow and refrigerant temperature corresponding to each partition, the method further includes:

[0134] Determine a stable period corresponding to each partition based on the current period and the target period corresponding to each partition, where the stable period is a time period in the current period excluding the target period;

[0135] Determine the stable refrigerant flow and stable refrigerant temperature corresponding to each partition in the current space within the stable period, and adjust the corresponding refrigerant opening valve within the corresponding stable period according to the stable refrigerant flow and stable refrigerant temperature corresponding to each partition.

[0136] Specifically, the stable period length is calculated based on the target period length corresponding to each partition predicted previously. Assuming that the current period is set to 1 hour, and the target period of a partition is calculated to be 20 minutes, then the stable period length of the partition is 1 hour minus 20 minutes, that is, 40 minutes. Such calculation and division are performed for each partition to determine their respective stable periods.

[0137] Furthermore, a large amount of historical data corresponding to each partition under different environmental conditions and operating states is obtained from the database corresponding to the current space, including the corresponding relationship between the refrigerant flow rate, temperature and indoor and outdoor temperature difference, change in human flow (although the human flow rate is relatively stable in the stable period, there may be small fluctuations), and partition heat load and other parameters. Using these data, a model is built through machine learning algorithms (such as multivariate linear regression, neural network, etc.) to estimate the stable refrigerant flow rate and temperature of each partition in the current stable period. For example, a neural network model is obtained by training the historical data of the partition in the same time period (such as 10-11 am) in the past month, and inputting parameters such as the current outdoor temperature, the current number of people in the partition (obtained through the personnel monitoring sensor), and the actual temperature of the current partition. The model outputs the estimated stable refrigerant flow rate and temperature. Assuming that the current outdoor temperature of a partition is 25℃, there are 15 people in the partition, and the actual temperature is 23℃, the model outputs a stable refrigerant flow rate of 10m³ / h and a stable refrigerant temperature of 7℃ (cooling condition).

[0138] During the stable cycle, the temperature sensors in the partition, the refrigerant flow sensors and temperature sensors of the air-conditioning system are continuously connected to monitor the changes in the actual temperature, refrigerant flow and temperature of the partition in real time. If it is found that the actual temperature deviates from the set stable cycle target temperature, or the refrigerant flow and temperature are significantly different from the estimated stable refrigerant parameters, the refrigerant flow and temperature will be recalculated and adjusted according to the deviation. For example, if the actual temperature of a partition is monitored to be 1°C higher than the target temperature, the refrigerant flow will be appropriately increased or the refrigerant temperature will be lowered according to the performance model of the air-conditioning system and the current operating parameters, and then an adjustment signal will be sent to the refrigerant opening valve to correct the deviation so that the partition temperature remains within the appropriate range, ensuring comfortable and energy-saving operation throughout the stable cycle.

[0139] The above embodiment introduces an air conditioning energy-saving method from the perspective of a method flow, and the following embodiment introduces an air conditioning energy-saving device from the perspective of a virtual module or a virtual unit. For details, please refer to the following embodiment.

[0140] See also Figure 2 The air conditioning energy-saving device 20 may specifically include: an acquisition module 201, a first determination module 202, a second determination module 203, a prediction module 204 and an adjustment module 205, wherein:

[0141] An air conditioning energy-saving device 20, comprising:

[0142] The acquisition module 201 is used to acquire the actual temperature corresponding to each partition of the current space;

[0143] The first determination module 202 is used to determine the set temperature corresponding to each partition of the current space in the current cycle, and the set temperature is the temperature that the current space needs to reach;

[0144] The second determination module 203 is used to determine the refrigerant flow rate and refrigerant temperature corresponding to each partition based on the actual temperature and set temperature corresponding to each partition of the current space;

[0145] Prediction module 204, used to predict the target period corresponding to each partition, the target period represents the time required for the partition temperature to change from the actual temperature to the set temperature;

[0146] The adjustment module 205 is used to adjust the corresponding refrigerant opening valve within the corresponding target cycle according to the refrigerant flow and refrigerant temperature corresponding to each partition.

[0147] In a possible implementation of the embodiment of the present application, the first determination module 202, when determining the set temperatures corresponding to the respective partitions of the current space in the current period, and the determination process of the set temperatures corresponding to each partition in the current period, can be specifically used to:

[0148] Get the outdoor temperature corresponding to the current space and determine the optimal indoor temperature corresponding to the outdoor temperature;

[0149] Get the temperature zone level corresponding to the partition and predict the predicted flow of people in the partition in the current period;

[0150] Determine the set temperature corresponding to the zone based on the temperature zone level corresponding to the zone, predicted traffic flow and indoor temperature.

[0151] In a possible implementation of the embodiment of the present application, when determining the optimal temperature corresponding to the outdoor temperature, the first determination module 202 may be specifically used to:

[0152] Get the relative humidity and air conditioning wind speed corresponding to the partition;

[0153] Based on the outdoor temperature, the relative humidity corresponding to the zone and the corresponding air conditioning wind speed, the optimal temperature corresponding to the outdoor temperature is determined.

[0154] In a possible implementation of the embodiment of the present application, when the first determination module 202 determines the set temperature corresponding to the partition based on the temperature zone level corresponding to the partition, the predicted flow of people, and the indoor temperature, it can be specifically used to:

[0155] Get the characteristic temperature corresponding to the temperature zone level and the maximum capacity corresponding to the partition;

[0156] Determine the maximum passenger flow corresponding to the maximum capacity;

[0157] Based on formula 1: , calculate the set temperature corresponding to the partition, where To set the temperature, is the indoor temperature, is the characteristic temperature, P is the predicted flow of people, is the maximum flow of people, a, b and c are the preset coefficients respectively.

[0158] In a possible implementation of the embodiment of the present application, the second determination module 203 determines the refrigerant flow and refrigerant temperature corresponding to each partition based on the actual temperature and set temperature corresponding to each partition of the current space. The determination process of the refrigerant flow and refrigerant temperature corresponding to each partition can be specifically used to:

[0159] Obtain the partition volume corresponding to the partition, and determine the air mass corresponding to the partition volume;

[0160] Get the refrigerant temperature difference corresponding to the partition;

[0161] Based on the air quality and the actual and set temperatures of the zones, the demand corresponding to the zones is calculated;

[0162] Based on formula 2: , calculate the refrigerant flow corresponding to the partition, where is the refrigerant mass flow rate, Q is the demand, is the specific heat capacity of water, is the refrigerant temperature difference;

[0163] Determine the refrigerant temperature loss corresponding to the partition;

[0164] Based on formula 3: , calculate the refrigerant temperature corresponding to the partition, where is the refrigerant temperature, is the refrigerant temperature loss.

[0165] In a possible implementation of the embodiment of the present application, the prediction module 204 may be used to predict the target period corresponding to each partition and the prediction process of the target period corresponding to each partition in the following manner:

[0166] Predict the occupant heat generated by the partition in future cycles;

[0167] Determine the air conditioning capacity of the zone air conditioner corresponding to the zone, and the air conditioning capacity includes heating capacity and cooling capacity;

[0168] Based on the air conditioning capacity, space heat capacity and personnel heat of the corresponding partition, the temperature change duration is calculated to obtain the target period corresponding to the partition.

[0169] In a possible implementation of the embodiment of the present application, the energy regulating device 20 may further include:

[0170] A third determination module is used to determine a stable period corresponding to each partition based on the current period and the target period corresponding to each partition, where the stable period is a time period in the current period excluding the target period;

[0171] The fourth determination module is used to determine the stable refrigerant flow and stable refrigerant temperature corresponding to each partition of the current space within the stable period, and adjust the corresponding refrigerant opening valve within the corresponding stable period according to the stable refrigerant flow and stable refrigerant temperature corresponding to each partition.

[0172] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0173] See also Figure 3, the embodiment of the present application also introduces an electronic device from the perspective of a physical device, such as Figure 3 As shown, Figure 3 The electronic device 30 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 30 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 30 does not constitute a limitation on the embodiments of the present application.

[0174] The processor 301 may 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 may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0175] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0176] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0177] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0178] The electronic devices include but are not limited to: mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc., and can also be servers, etc. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0179] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0180] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0181] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. An air conditioning energy saving method, characterized in that: include: Get the actual temperature corresponding to each partition of the current space; Determine a set temperature corresponding to each partition of the current space in a current cycle, wherein the set temperature is a temperature that the current space needs to reach; Based on the actual temperature and the set temperature corresponding to each partition of the current space, determine the refrigerant flow rate and the refrigerant temperature corresponding to each partition; Predicting a target period corresponding to each partition, wherein the target period represents the time required for the partition temperature to change from the actual temperature to the set temperature; According to the refrigerant flow and refrigerant temperature corresponding to each zone, adjust the corresponding refrigerant opening valve within the corresponding target cycle; The process of determining the set temperature corresponding to each partition of the current space in the current cycle and the set temperature corresponding to each partition in the current cycle includes: Acquire the outdoor temperature corresponding to the current space, and determine the optimal indoor temperature corresponding to the outdoor temperature; Obtaining the temperature zone level corresponding to the partition, and predicting the predicted flow of people in the partition in the current period; Determining a set temperature corresponding to the partition based on the temperature zone level corresponding to the partition, the predicted flow of people, and the indoor temperature; Wherein, based on the actual temperature and the set temperature corresponding to each partition of the current space, the refrigerant flow rate and the refrigerant temperature corresponding to each partition are determined, and the process of determining the refrigerant flow rate and the refrigerant temperature corresponding to each partition includes: Obtaining a partition volume corresponding to the partition, and determining an air mass corresponding to the partition volume; Obtaining the refrigerant temperature difference corresponding to the partition; Based on the air quality and the actual temperature and set temperature corresponding to the partition, calculate the demand corresponding to the partition; Based on formula 2: , calculate the refrigerant flow corresponding to the partition, where, is the refrigerant mass flow rate, Q is the demand, is the specific heat capacity of water, is the refrigerant temperature difference; Determine the refrigerant temperature loss corresponding to the partition; Based on formula 3: , calculate the refrigerant temperature corresponding to the partition, where: is the refrigerant temperature, is the refrigerant temperature loss.

2. The air conditioning energy saving method according to claim 1, characterized in that: The determining the optimal temperature corresponding to the outdoor temperature comprises: Obtaining the relative humidity and the corresponding air conditioning wind speed corresponding to the partition; Based on the outdoor temperature, the relative humidity corresponding to the partitions, and the corresponding air-conditioning wind speeds, an optimal temperature corresponding to the outdoor temperature is determined.

3. The air conditioning energy saving method according to claim 1, characterized in that: The determining the set temperature corresponding to the partition based on the temperature zone level corresponding to the partition, the predicted flow of people, and the indoor temperature includes: Obtaining the characteristic temperature corresponding to the temperature zone level, and obtaining the maximum capacity corresponding to the partition; Determine the maximum passenger flow corresponding to the maximum capacity; Based on formula 1: , calculate the set temperature corresponding to the partition, where, To set the temperature, is the indoor temperature, is the characteristic temperature, P is the predicted flow of people, is the maximum flow of people, a, b and c are the preset coefficients respectively.

4. The air conditioning energy saving method according to claim 1, characterized in that: The process of predicting the target period corresponding to each partition includes: predicting occupant heat generation in the partition over future periods; Determine the air conditioning capacity of the zone air conditioner corresponding to the zone, where the air conditioning capacity includes heating capacity and cooling capacity; Based on the air conditioning capacity corresponding to the partition, the corresponding space heat capacity and the personnel heat, the temperature change duration is calculated to obtain the target period corresponding to the partition.

5. The air conditioning energy saving method according to claim 4, characterized in that: After adjusting the corresponding refrigerant opening valve within the corresponding target cycle according to the refrigerant flow and refrigerant temperature corresponding to each partition, the method further includes: Determine a stable period corresponding to each partition based on the current period and the target period corresponding to each partition, wherein the stable period is a time period in the current period excluding the target period; Determine the stable refrigerant flow and stable refrigerant temperature corresponding to each partition of the current space within the stable period, and adjust the corresponding refrigerant opening valve within the corresponding stable period according to the stable refrigerant flow and stable refrigerant temperature corresponding to each partition.

6. An air conditioning energy-saving device, characterized in that: include: The acquisition module is used to obtain the actual temperature corresponding to each partition of the current space; A first determination module is used to determine the set temperature corresponding to each partition of the current space in the current cycle, where the set temperature is the temperature that the current space needs to reach; A second determination module is used to determine the refrigerant flow rate and refrigerant temperature corresponding to each partition based on the actual temperature and set temperature corresponding to each partition of the current space; A prediction module, used to predict a target period corresponding to each partition, wherein the target period represents the time required for the partition temperature to change from the actual temperature to the set temperature; An adjustment module, used to adjust the corresponding refrigerant opening valve within the corresponding target cycle according to the refrigerant flow and refrigerant temperature corresponding to each partition; The first determination module, in determining the set temperatures corresponding to the respective partitions of the current space in the current cycle, is specifically used to: Acquire the outdoor temperature corresponding to the current space, and determine the optimal indoor temperature corresponding to the outdoor temperature; Obtaining the temperature zone level corresponding to the partition, and predicting the predicted flow of people in the partition in the current period; Determining a set temperature corresponding to the partition based on the temperature zone level corresponding to the partition, the predicted flow of people, and the indoor temperature; The second determination module determines the refrigerant flow rate and refrigerant temperature corresponding to each partition based on the actual temperature and set temperature corresponding to each partition of the current space. In the process of determining the refrigerant flow rate and refrigerant temperature corresponding to each partition, the second determination module is specifically used to: Obtaining a partition volume corresponding to the partition, and determining an air mass corresponding to the partition volume; Obtain the refrigerant temperature difference corresponding to the partition; Based on the air quality and the actual temperature and set temperature corresponding to the partition, calculate the demand corresponding to the partition; Based on formula 2: , calculate the refrigerant flow corresponding to the partition, where, is the refrigerant mass flow rate, Q is the demand, is the specific heat capacity of water, is the refrigerant temperature difference; Determine the refrigerant temperature loss corresponding to the partition; Based on formula 3: , calculate the refrigerant temperature corresponding to the partition, where: is the refrigerant temperature, is the refrigerant temperature loss.

7. An electronic device, characterized in that: The electronic device includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the air conditioning energy saving method according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed in a computer, the computer is caused to execute the air conditioning energy saving method according to any one of claims 1 to 5.

Citation Information

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