A variable air volume fluorine pump air conditioning system operation management method

Abstract

The present invention discloses a variable air volume fluorine pump air conditioning system operation management method, which relates to the field of intelligent control technology of HVAC, including setting standard temperature, pressure, and humidity through a display operation panel, setting standard parameters of multiple operation modes, configuring parameters of an intelligent prediction model, and according to the prediction results, a central control system calculates the most optimized variable air volume fluorine pump air conditioning system operation parameters, adjusts the working state of each component, and continuously monitors the operation state of the variable air volume fluorine pump air conditioning system. The central control system further refines different operation modes of the variable air volume fluorine pump air conditioning system, and automatically selects the operation mode that best suits the current environmental conditions through an optimization algorithm. The present invention automatically adjusts the operation mode and work intensity of the variable air volume fluorine pump air conditioning system according to outdoor environmental data through a central control system, thereby realizing adaptive optimization of the system and improving energy efficiency and user comfort.

Description

Technical Field

[0001] The invention relates to the technical field of intelligent control of heating, ventilation and air conditioning, and in particular to an operation management method of a variable air volume fluorine pump air conditioning system. Background Art

[0002] Traditional constant temperature control methods can no longer meet the needs of modern high-efficiency energy saving, especially in large commercial buildings, which puts higher requirements on the energy consumption management of air conditioning systems. Variable air volume fluorine pump air conditioning systems have gradually become one of the mainstream choices in the market because they can dynamically adjust the air supply volume according to actual needs to achieve more precise temperature control and energy conservation. However, despite the many advantages of such systems, in actual applications, existing variable air volume fluorine pump air conditioning systems cannot accurately predict environmental change trends and are difficult to automatically adjust the operating mode in real time to adapt to complex and changing external conditions.

[0003] Under the existing technical framework, the control logic of the variable air volume fluorine pump air conditioning system mainly relies on preset parameter thresholds and simple feedback mechanisms. Due to the lack of in-depth analysis and prediction capabilities of environmental variables, the existing system can only respond with lag, resulting in large fluctuations in indoor temperature, reduced comfort, and possible unnecessary energy waste. When it comes to more complex operating mode switching, the existing control system usually requires manual intervention and cannot achieve seamless switching, affecting the user experience and the overall efficiency of the system. Summary of the invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a variable air volume fluorine pump air conditioning system operation management method to solve the problems of high energy consumption and poor comfort caused by the lack of intelligent prediction and adaptive adjustment mechanism in the existing variable air volume fluorine pump air conditioning system.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, an embodiment of the present invention provides a method for operating and managing a variable air volume fluorine pump air conditioning system, comprising:

[0008] Set standard temperature, pressure, humidity, and standard parameters for various operating modes through the display operation panel, and configure the parameters of the intelligent prediction model;

[0009] The sensor group monitors the temperature, pressure, and humidity data inside the air-conditioning box in real time, and uploads them to the central control system to collect the outdoor environment temperature, pressure, and humidity data;

[0010] The central control system uses machine learning models to analyze the data of the air conditioner cabinet and the outdoor environment, and predicts the trend of changes in the future based on historical data;

[0011] According to the prediction results, the central control system calculates the most optimized VAV fluorine pump air conditioning system operating parameters, adjusts the working status of each component, and continuously monitors the operating status of the VAV fluorine pump air conditioning system;

[0012] According to the changes in outdoor environmental data, the central control system automatically adjusts the operation mode and working intensity of the variable air volume fluorine pump air conditioning system;

[0013] The central control system further refines the different operating modes of the variable air volume fluorine pump air conditioning system, and automatically selects the operating mode that best suits the current environmental conditions through an optimization algorithm.

[0014] As a preferred solution of the variable air volume fluorine pump air conditioning system operation management method of the present invention;

[0015] The multiple operating modes include different cooling, dehumidification, general and heating modes under high temperature conditions, medium temperature conditions and low temperature conditions;

[0016] The sensor group includes an air inlet temperature sensor, an air outlet temperature sensor, a water temperature sensor, a humidity sensor, and a pressure sensor.

[0017] As a preferred solution of the variable air volume fluorine pump air conditioning system operation management method of the present invention;

[0018] The steps of setting the standard temperature, pressure, and humidity through the display operation panel, setting the standard parameters of various operation modes, and configuring the parameters of the intelligent prediction model are as follows:

[0019] Enter the main operation interface of the variable air volume fluorine pump air conditioning system display, set the indoor temperature, humidity, pressure range, and save the settings;

[0020] Set the temperature and humidity standards for high temperature, medium temperature and low temperature working modes respectively, and save the settings;

[0021] Select the long short-term memory network as the intelligent prediction model, use the operating data of the past year as the training data set, train the intelligent prediction model, and set the prediction time window of the intelligent prediction model.

[0022] As a preferred solution of the variable air volume fluorine pump air conditioning system operation management method of the present invention:

[0023] The sensor group monitors the temperature, pressure and humidity data inside the air-conditioning box in real time, collects the outdoor environment temperature and humidity data, and uploads them to the central control system. The specific steps are as follows:

[0024] Initialize the air inlet temperature sensor, air outlet temperature sensor, water temperature sensor, humidity sensor, pressure sensor and outdoor environment sensor installed in the air conditioner box;

[0025] Calibrate the sensor group inside the air conditioner box and set the sampling frequency;

[0026] Configure external environmental sensors to record outdoor temperature and humidity, synchronize the frequency with the air conditioner box sensor group, and integrate the external environmental data with the real-time monitoring data of the sensors inside the air conditioner box;

[0027] Preprocess and format the integrated data, establish a stable network connection with the central control system through the TCP / IP protocol stack, establish real-time two-way communication using the WebSocket protocol, and send the collected data to the central control system in real time;

[0028] The central control system receives all the data and stores it in the database.

[0029] As a preferred solution of the variable air volume fluorine pump air conditioning system operation management method of the present invention;

[0030] The central control system uses a machine learning model to analyze the air conditioning cabinet and outdoor environment data, and predicts the change trend in the future based on historical data. The specific steps are as follows:

[0031] The operating data of the variable air volume fluorine pump air conditioning system in the past year was used as a data set to train the long short-term memory network model;

[0032] The central control system cleans the received data, removes invalid values, and fills in missing values ​​using the nearest neighbor method. It uses the Z-score to standardize the cleaned data and inputs the data of the same scale into the long short-term memory network model.

[0033] Using the trained long short-term memory network model, based on the data that has been cleaned and standardized by the central control system, the temperature and humidity change trends in the air-conditioning box within the next two hours are predicted.

[0034] As a preferred solution of the variable air volume fluorine pump air conditioning system operation management method of the present invention, wherein: according to the prediction results, the central control system calculates the optimal variable air volume fluorine pump air conditioning system operation parameters, adjusts the working state of each component, and continuously monitors the variable air volume fluorine pump air conditioning system operation state, the specific steps are as follows;

[0035] The central control system uses the least squares method to fit the prediction results of the temperature and humidity in the air-conditioning box based on the long short-term memory network model, and a trend line representing the change of temperature and humidity in the air-conditioning box in the next two hours is expressed as follows:

[0036]

[0037]

[0038] in, and They represent the functions of the temperature and humidity in the air-conditioning box changing with time in the next two hours. For time point, and are the temperature and humidity values ​​at the initial moment, and To control the growth rate of temperature and humidity over time, and is a constant term that adjusts the position of the curve, is a natural constant;

[0039] The central control system is based on and , calculate the optimal operation control parameters , the expression is as follows:

[0040] ;

[0041] in, is a vector that will keep the VAV air conditioning system within an ideal temperature and humidity range for the next two hours. When the integral expression is the minimum A collection of and They are the target temperature and target humidity set by the user respectively;

[0042] The optimal operating control parameters Distributed to each component of the variable air volume fluorine pump air conditioning system, and based on Adjust working status;

[0043] The central control system continuously monitors the operating status of the variable air volume fluorine pump air conditioning system and periodically updates the optimal operating control parameters.

[0044] As a preferred solution of the variable air volume fluorine pump air conditioning system operation management method of the present invention, wherein: according to the change of outdoor environmental data, the central control system automatically adjusts the operation mode and working intensity of the variable air volume fluorine pump air conditioning system, and the specific steps are as follows:

[0045] The central control system analyzes the received outdoor environment data, temperature, and humidity, and compares them with the temperature and humidity collected by the sensor group in the air conditioner box. The expression is as follows:

[0046] ;

[0047] in, It is an environmental difference function that directly reflects the difference between indoor and outdoor environments. and Outdoor and indoor at time points The temperature, and Outdoor and indoor at time points humidity;

[0048] Central control system utilization Evaluate the matching degree between the current environment and the standard parameters of the preset operation mode, and use the matching score returned by the pattern matching function M to judge the adaptability of the current operation mode. The expression is:

[0049] ;

[0050] in, For pattern matching functions Return Matching scores, for and The standard deviation of the difference between is a normal distribution density function, describing a The center is The probability density of the normal distribution of ;

[0051] Pattern matching functions The expression is:

[0052] ;

[0053] in, For the The range of environmental parameters for each mode;

[0054] The working intensity of the variable air volume fluorine pump air conditioning system is adjusted by matching the operating mode with the highest score. The expression is as follows:

[0055] ;

[0056] in, A nonlinear mapping function is used to convert the matching score into the working intensity of the variable air volume fluorine pump air conditioning system. for The largest value in .

[0057] As a preferred solution of the variable air volume fluorine pump air conditioning system operation management method of the present invention;

[0058] The central control system further refines the different operation modes of the variable air volume fluorine pump air conditioning system, and automatically selects the operation mode that best suits the current environmental conditions through an optimization algorithm. The specific steps are as follows:

[0059] According to the calculated optimal operation control parameters and work intensity, dynamically adjust the various operation parameters of the variable air volume fluorine pump air conditioning system;

[0060] After receiving the instruction from the central control system, the actuators of the variable air volume fluorine pump air conditioning system will immediately adjust their respective working states;

[0061] According to the actual response of the variable air volume fluorine pump air conditioning system, the central control system re-evaluates the effectiveness of the current control parameters;

[0062] When the central control system detects that the outdoor environmental data has changed significantly, causing the current operating mode to no longer be applicable, the mode switching process is immediately initiated;

[0063] During the mode switching process, the central control system adopts a smooth transition strategy to smoothly switch the operating mode;

[0064] After the mode switch is completed, the central control system will re-enter the monitoring stage, continue to collect environmental data, and recalculate the optimal operating parameters and work intensity based on the latest data, thus forming a closed-loop automatic adjustment system.

[0065] In a second aspect, an embodiment of the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, any step of the variable air volume fluorine pump air conditioning system operation management method as described in the first aspect of the present invention is implemented.

[0066] In a third aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the variable air volume fluorine pump air conditioning system operation management method as described in the first aspect of the present invention is implemented.

[0067] The beneficial effects of the present invention are:

[0068] The present invention realizes flexible switching of the variable air volume fluorine pump air conditioning system according to different weather conditions and usage scenarios through multiple operation modes and using a specific sensor group to detect data, so that the variable air volume fluorine pump air conditioning system can operate efficiently and stably in various environments, which not only saves energy but also improves user experience. The central control system automatically adjusts the system operation mode and work intensity according to outdoor environmental data to ensure that the variable air volume fluorine pump air conditioning can always be in the best operating state, enhances the adaptability and user satisfaction of the variable air volume fluorine pump air conditioning system, and improves the adaptability and prediction accuracy of the variable air volume fluorine pump air conditioning system by setting standard parameters and training the intelligent prediction model, more accurately controls temperature and humidity, and improves the response speed of the variable air volume fluorine pump air conditioning. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0070] Figure 1 This is a flow chart of the variable air volume fluorine pump air conditioning system operation management method in Example 1.

[0071] Figure 2 This is a flow chart of the system automatically adjusting the mode and intensity according to the changes in the outdoor environment in Example 1. DETAILED DESCRIPTION

[0072] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0073] Example 1

[0074] Reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, and provides a variable air volume fluorine pump air conditioning system operation management method, comprising the following steps:

[0075] S1. Set the standard temperature, pressure, and humidity through the display operation panel, set the standard parameters of various operating modes, and configure the parameters of the intelligent prediction model.

[0076] Furthermore, enter the main operation interface of the variable air volume fluorine pump air conditioning system display, set the standard indoor temperature range, 24℃±2℃ in summer, 20℃±2℃ in winter, the standard indoor humidity range, 40%RH±10% in summer, 30%RH±10% in winter, the standard indoor pressure range, maintain the positive pressure state, the pressure value is +5Pa±2Pa, and save the settings;

[0077] Set the high temperature working mode: the temperature is set to 28℃, the humidity is set to 50%RH, set the medium temperature working mode: the temperature is set to 24℃, the humidity is set to 45%RH, set the low temperature working mode: the temperature is set to 20℃, the humidity is set to 40%RH, and save the settings;

[0078] Furthermore, we select the long short-term memory network (LSTM) as the intelligent prediction model, and use the operating data of the past year as the training data set to train the intelligent prediction model. The model update cycle is once a month, and the prediction time window of the intelligent prediction model is the next 2 hours.

[0079] S2. The sensor group monitors the temperature, pressure and humidity data inside the air-conditioning box in real time, and collects the outdoor environment temperature and humidity data at the same time, and uploads them to the central control system.

[0080] Furthermore, the air inlet temperature sensor, air outlet temperature sensor, water temperature sensor, humidity sensor, pressure sensor and outdoor environment sensor installed in the air conditioner box are initialized to ensure that they are in working condition;

[0081] Calibrate the sensor group inside the air conditioner to eliminate any possible measurement deviation, and set the sampling frequency to once every 10 seconds to ensure the real-time data;

[0082] Configure external environmental sensors to record outdoor temperature and humidity, synchronize the frequency with the air conditioner box sensor group, and integrate the external environmental data with the real-time monitoring data of the sensors inside the air conditioner box;

[0083] Furthermore, the integrated data is pre-processed and formatted, a stable network connection is established with the central control system through the TCP / IP protocol stack, and real-time two-way communication is established using the WebSocket protocol to send the collected data to the central control system in real time;

[0084] The central control system receives all the data and stores it in the database.

[0085] S3. The central control system uses machine learning models to analyze the air-conditioning cabinet and outdoor environment data, and predicts the changing trends in the future based on historical data.

[0086] Furthermore, the operating data of the variable air volume fluorine pump air conditioning system in the past year was used as a data set to train the long short-term memory network model;

[0087] The central control system cleans the received data, removes invalid values, and fills in missing values ​​using the nearest neighbor method. It uses the Z-score to standardize the cleaned data and inputs the data of the same scale into the long short-term memory network model.

[0088] Preferably, the trained long short-term memory network model is used to predict the temperature and humidity change trends in the air-conditioning cabinet within the next two hours based on the data that has been cleaned and standardized by the central control system.

[0089] It should be noted that the automation level and energy efficiency of the air-conditioning system have been improved through precise data processing, efficient prediction models and intelligent decision-making mechanisms.

[0090] S4. Based on the prediction results, the central control system calculates the most optimized operating parameters of the variable air volume fluorine pump air conditioning system, adjusts the working status of each component, and continuously monitors the operating status of the variable air volume fluorine pump air conditioning system.

[0091] Furthermore, the central control system uses the least squares method to fit a trend line representing the change of temperature and humidity in the air-conditioning box in the next two hours based on the prediction results of the temperature and humidity in the air-conditioning box by the long short-term memory network model. The expression is as follows:

[0092]

[0093] ;

[0094] in, and They represent the functions of the temperature and humidity in the air-conditioning box changing with time in the next two hours. For time point, and are the temperature and humidity values ​​at the initial moment, and To control the growth rate of temperature and humidity over time, and is a constant term for adjusting the position of the curve;

[0095] Furthermore, the central control system is based on and , calculate the optimal operation control parameters , the expression is as follows:

[0096] ;

[0097] in, is a vector that will keep the VAV air conditioning system within an ideal temperature and humidity range for the next two hours. When the integral expression is the minimum A collection of and They are the target temperature and target humidity set by the user respectively;

[0098] The optimal operating control parameters Distributed to each component of the variable air volume fluorine pump air conditioning system, and based on Adjust working status to achieve optimal energy saving and comfort;

[0099] The central control system continuously monitors the operating status of the variable air volume fluorine pump air conditioning system, periodically updates the optimal operating control parameters, responds to changes in environmental conditions, and ensures the flexibility and adaptability of the system.

[0100] S5. According to the changes in outdoor environmental data, the central control system automatically adjusts the operating mode and working intensity of the variable air volume fluorine pump air conditioning system.

[0101] Furthermore, the central control system analyzes the received outdoor environment data, temperature, and humidity, and compares them with the temperature and humidity collected by the sensor group in the air conditioner box. The expression is as follows:

[0102] ;

[0103] in, It is an environmental difference function that directly reflects the difference between indoor and outdoor environments. and Outdoor and indoor at time points The temperature, and Outdoor and indoor at time points humidity;

[0104] Furthermore, the central control system uses Evaluate the matching degree between the current environment and the standard parameters of the preset operation mode, and use the matching score returned by the pattern matching function M to judge the adaptability of the current operation mode. The expression is:

[0105] ;

[0106] in, For pattern matching functions Return Matching scores, the value range is , the closer the value is to 1, the higher the matching degree is. for and The standard deviation of the difference between is a normal distribution density function, describing a The center is The probability density of the normal distribution of ;

[0107] Pattern matching functions The expression is:

[0108] ;

[0109] in, For the The range of environmental parameters for each mode;

[0110] The working intensity of the variable air volume fluorine pump air conditioning system is adjusted by matching the operating mode with the highest score. The expression is as follows:

[0111] ;

[0112] in, It is a nonlinear mapping function that converts the matching score into the working intensity of the variable air volume fluorine pump air conditioning system. The range is , indicating the working intensity of the variable air volume fluorine pump air conditioning system, 0 means off, 1 means maximum intensity, for The largest value in .

[0113] It should be noted that the central control system can automatically adjust the operating mode and working intensity of the variable air volume fluorine pump air-conditioning system based on changes in outdoor environmental data, ensuring that the system always operates in the most suitable state, thereby improving energy efficiency and user experience.

[0114] S6. The central control system further refines the different operation modes of the variable air volume fluorine pump air conditioning system, and automatically selects the operation mode that best suits the current environmental conditions through an optimization algorithm.

[0115] Furthermore, various operating parameters of the variable air volume fluorine pump air conditioning system are dynamically adjusted according to the calculated optimal operating control parameters and work intensity;

[0116] After receiving the instruction from the central control system, the actuators of the variable air volume fluorine pump air conditioning system will immediately adjust their respective working states;

[0117] According to the actual response of the variable air volume fluorine pump air conditioning system (i.e. the actual changes in temperature and humidity in the air conditioning box after adjustment), the central control system re-evaluates the effectiveness of the current control parameters;

[0118] When the central control system detects that the outdoor environmental data has changed significantly, causing the current operating mode to no longer be applicable, the mode switching process is immediately initiated;

[0119] During the mode switching process, the central control system adopts a smooth transition strategy to smoothly switch the operating mode to avoid causing excessive fluctuations in the indoor environment;

[0120] After the mode switch is completed, the central control system will re-enter the monitoring stage, continue to collect environmental data, and recalculate the optimal operating parameters and work intensity based on the latest data, thus forming a closed-loop automatic adjustment system.

[0121] It should be noted that through the dynamic adjustment mechanism, the response speed of the air-conditioning system is improved, its adaptability to changes in the external environment is enhanced, and more efficient energy management and better user experience are achieved.

[0122] This embodiment also provides a computer device, which is suitable for the operation and management method of a variable air volume fluorine pump air conditioning system, including: a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the operation and management method of a variable air volume fluorine pump air conditioning system proposed in the above embodiment.

[0123] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0124] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the method for implementing the operation management of a variable air volume fluorine pump air conditioning system proposed in the above embodiment is implemented; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0125] In summary, the present invention realizes flexible switching of the variable air volume fluorine pump air conditioning system according to different weather conditions and usage scenarios through: multiple operating modes and use of specific sensor groups to detect data, so that the variable air volume fluorine pump air conditioning system can operate efficiently and stably in various environments, which not only saves energy but also improves user experience. The central control system automatically adjusts the system operating mode and work intensity according to outdoor environmental data to ensure that the variable air volume fluorine pump air conditioning can always be in the best operating state, enhances the adaptability and user satisfaction of the variable air volume fluorine pump air conditioning system, and improves the adaptability and prediction accuracy of the variable air volume fluorine pump air conditioning system by setting standard parameters and training the intelligent prediction model, more accurately controlling the temperature and humidity, and improving the response speed of the variable air volume fluorine pump air conditioning.

[0126] Example 2

[0127] Referring to Table 1, which is the second embodiment of the present invention, in order to further verify the technical solution of the present invention, experimental simulation data of the variable air volume fluorine pump air conditioning system operation management method are provided.

[0128] First, a complete variable air volume fluorine pump air conditioning system was installed in an office area of ​​about 100 square meters, including inlet temperature sensor, outlet temperature sensor, water temperature sensor, humidity sensor, pressure sensor and outdoor environment sensor.

[0129] The indoor temperature range is set to 22°C to 24°C, the humidity range is set to 40%RH to 60%RH, the pressure is maintained near the standard atmospheric pressure, and different cooling, dehumidification, general and heating modes are set for high temperature, medium temperature and low temperature conditions.

[0130] Next, the long short-term memory network (LSTM) was selected as the intelligent prediction model, and the operating data of the past year was used as the training data set to train the model.

[0131] Initialize and calibrate the sensor group, and transmit data to the central control system every 10 seconds through the TCP / IP protocol stack.

[0132] During the experiment, the central control system received data from the sensor group and predicted the temperature and humidity changes within the next 2 hours through the LSTM model.

[0133] Then, based on the prediction results, the optimal operating parameters are calculated and the operating status of the variable air volume fluorine pump air conditioning system is adjusted. When the outdoor environmental data changes, the system automatically adjusts the operating mode and work intensity.

[0134] Finally, through two weeks of experiments, indoor temperature, humidity, energy consumption, and user comfort scores were recorded at 8 a.m., 12 p.m., and 6 p.m. every day, and relevant data for the same office area using a traditional constant temperature control system was also recorded.

[0135] The details are shown in Table 1 below:

[0136] Table 1 Performance comparison data of variable air volume fluorine pump air conditioning system and traditional system

[0137]

[0138] In terms of temperature control, at 8 o'clock in the morning, the indoor temperature of the traditional constant temperature control system was 21.9℃, which was not within the set temperature range. The variable air volume fluorine pump air conditioning system under this operation management method can keep the indoor temperature within the initial range throughout the day.

[0139] Energy consumption is one of the key factors in evaluating the performance of an air-conditioning system. By comparing the energy consumption throughout the day, it can be found that the energy consumption of the system of the present invention is lower than that of the traditional system in each period, reflecting its superiority in energy utilization efficiency.

[0140] The user comfort score reflects the user experience of the system in actual application. Whether in the morning, at noon or at night, the user comfort score of the system of the present invention is higher than that of the traditional system. This difference shows that by introducing the intelligent prediction model and adaptive adjustment mechanism, the system of the present invention is not only more accurate in temperature and humidity control, but also significantly improved in overall comfort.

[0141] In summary, the variable air volume fluorine pump air conditioning system operation management method of the present invention has demonstrated its advantages in temperature control accuracy, humidity regulation, energy consumption reduction, user experience, etc. Through intelligent prediction and adaptive adjustment mechanism, the system can automatically adjust the operation mode and work intensity according to the changes in outdoor environmental data, thereby significantly reducing energy consumption while maintaining comfort.

[0142] It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A variable air volume fluorine pump air conditioning system operation management method, characterized in that ,include: Set standard temperature, pressure, humidity, and standard parameters for various operating modes through the display operation panel, and configure the parameters of the intelligent prediction model; The sensor group monitors the temperature, pressure, and humidity data inside the air-conditioning box in real time, and collects the outdoor environment temperature and humidity data, and uploads them to the central control system; The central control system uses machine learning models to analyze the data of the air conditioner cabinet and the outdoor environment, and predicts the trend of changes in the future based on historical data; According to the prediction results, the central control system calculates the most optimized VAV fluorine pump air conditioning system operating parameters, adjusts the working status of each component, and continuously monitors the operating status of the VAV fluorine pump air conditioning system; According to the changes in outdoor environmental data, the central control system automatically adjusts the operation mode and working intensity of the variable air volume fluorine pump air conditioning system; The central control system further refines the different modes of operation of the variable air volume fluorine pump air conditioning system, and automatically selects the operating mode that best suits the current environmental conditions through an optimization algorithm; The central control system uses a machine learning model to analyze the air conditioning cabinet and outdoor environment data, and predicts the change trend in the future based on historical data. The specific steps are as follows: The operating data of the variable air volume fluorine pump air conditioning system in the past year was used as a data set to train the long short-term memory network model; The central control system cleans the received data, removes invalid values, and fills in missing values ​​using the nearest neighbor method. It uses the Z-score to standardize the cleaned data and inputs the data of the same scale into the long short-term memory network model. Using the trained LSTM model, based on the data cleaned and standardized by the central control system, the temperature and humidity change trends in the air-conditioning box within the next two hours are predicted; According to the prediction results, the central control system calculates the most optimized variable air volume fluorine pump air conditioning system operating parameters, adjusts the working status of each component, and continuously monitors the operating status of the variable air volume fluorine pump air conditioning system. The specific steps are as follows: Based on the prediction results of the temperature and humidity in the air-conditioning box by the long short-term memory network model, the central control system fits a trend line representing the change of temperature and humidity in the air-conditioning box in the next two hours through the least squares method. The expression is as follows: ； ； in, and They represent the functions of the temperature and humidity in the air-conditioning box changing with time in the next two hours. For time point, and are the temperature and humidity values ​​at the initial moment, and To control the growth rate of temperature and humidity over time, and is a constant term that adjusts the position of the curve, is a natural constant; The central control system is based on and , calculate the optimal operation control parameters , the expression is as follows: ； in, is a vector that will keep the VAV air conditioning system within an ideal temperature and humidity range for the next two hours. When the integral expression is the minimum A collection of and They are the target temperature and target humidity set by the user respectively; The optimal operating control parameters Distributed to each component of the variable air volume fluorine pump air conditioning system, and based on Adjust working status; The central control system continuously monitors the operating status of the variable air volume fluorine pump air conditioning system and periodically updates the optimal operating control parameters.

2. The variable air volume fluorine pump air conditioning system operation management method according to claim 1, characterized in that ,The multiple operation modes include different cooling, dehumidification, general and heating modes under high temperature conditions, medium temperature conditions and low temperature conditions; The sensor group includes an air inlet temperature sensor, an air outlet temperature sensor, a water temperature sensor, a humidity sensor, and a pressure sensor.

3. The variable air volume fluorine pump air conditioning system operation management method according to claim 2, characterized in that , the standard temperature, pressure, humidity, and standard parameters of various operation modes are set through the display operation panel, and the parameters of the intelligent prediction model are configured. The specific steps are as follows: Enter the main operation interface of the variable air volume fluorine pump air conditioning system display, set the indoor temperature, humidity and pressure range, and save the settings; Record the temperature and humidity standards of high temperature, medium temperature and low temperature working modes respectively, and save the settings; Select the long short-term memory network as the intelligent prediction model, use the operating data of the past year as the training data set, train the intelligent prediction model, and set the prediction time window of the intelligent prediction model.

4. The variable air volume fluorine pump air conditioning system operation management method according to claim 3, characterized in that ,The sensor group monitors the temperature, pressure, and humidity data inside the air-conditioning box in real time, and collects the outdoor environment temperature and humidity data at the same time, and uploads them to the central control system. The specific steps are as follows: Initialize the air inlet temperature sensor, air outlet temperature sensor, water temperature sensor, humidity sensor, pressure sensor and outdoor environment sensor installed in the air conditioner box; Calibrate the sensor group inside the air conditioner box and set the sampling frequency; Configure external environment sensors to record outdoor environment temperature and humidity data. The external environment sensors are synchronized with the sensor group inside the air conditioner box, and then integrate the external environment data with the real-time monitoring data of the sensors inside the air conditioner box. Preprocess and format the integrated data, establish a stable network connection with the central control system through the TCP / IP protocol stack, establish real-time two-way communication using the WebSocket protocol, and send the collected data to the central control system in real time; The central control system receives all the data and stores it in the database.

5. The variable air volume fluorine pump air conditioning system operation management method according to claim 4, characterized in that: According to the change of outdoor environmental data, the central control system automatically adjusts the operation mode and working intensity of the variable air volume fluorine pump air conditioning system. The specific steps are as follows: The central control system analyzes the received outdoor environment data, temperature, and humidity data, and compares them with the temperature and humidity collected by the sensor group in the air conditioner box. The expression is as follows: ； in, It is an environmental difference function that directly reflects the difference between indoor and outdoor environments. and Outdoor and indoor at time points The temperature, and Outdoor and indoor at time points humidity; Central control system utilization Evaluate the matching degree between the current environment and the standard parameters of the preset operation mode, and use the matching score returned by the pattern matching function M to judge the adaptability of the current operation mode. The expression is: ； in, For pattern matching functions Return Matching scores, for and The standard deviation of the difference between is a normal distribution density function, describing a The center is The probability density of the normal distribution of ; Pattern matching functions The expression is: ； in, For the The range of environmental parameters for each mode; The working intensity of the variable air volume fluorine pump air conditioning system is adjusted by matching the operating mode with the highest score. The expression is as follows: ； in, A nonlinear mapping function is used to convert the matching score into the working intensity of the variable air volume fluorine pump air conditioning system. for The largest value in .

6. The variable air volume fluorine pump air conditioning system operation management method according to claim 5, characterized in that: The central control system further refines the different modes of operation of the variable air volume fluorine pump air conditioning system, and automatically selects the operation mode that best suits the current environmental conditions through an optimization algorithm. The specific steps are as follows: According to the calculated optimal operation control parameters and work intensity, dynamically adjust the various operation parameters of the variable air volume fluorine pump air conditioning system; After receiving the instruction from the central control system, the actuators of the variable air volume fluorine pump air conditioning system will immediately adjust their respective working states; According to the actual response of the variable air volume fluorine pump air conditioning system, the central control system re-evaluates the effectiveness of the current control parameters; When the central control system detects that the outdoor environmental data has changed significantly, causing the current operating mode to no longer be applicable, the mode switching process is immediately initiated; During the mode switching process, the central control system adopts a smooth transition strategy to smoothly switch the operating mode; After the mode switch is completed, the central control system will re-enter the monitoring stage, continue to collect environmental data, and recalculate the optimal operating parameters and work intensity based on the latest data, thus forming a closed-loop automatic adjustment system.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the variable air volume fluorine pump air conditioning system operation management method described in any one of claims 1 to 6 are implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the variable air volume fluorine pump air conditioning system operation management method described in any one of claims 1 to 6 are implemented.

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