Energy-saving self-control and intelligent monitoring system of central air conditioner

Abstract

The invention discloses an energy-saving self-control and intelligent monitoring system for a central air conditioner, relates to the technical field of energy-saving air conditioners, and aims to solve the technical problem of high energy consumption caused by incapability of precise regulation and control in the prior art. Comprising a touch screen, a display unit and a remote mobile terminal interaction interface. The data acquisition module is used for acquiring indoor and outdoor parameter information in real time, including indoor and outdoor temperature, humidity, air volume, air outlet temperature, pressure and time information; the data processing module is used for calculating the cold load capacity of each area according to the indoor and outdoor parameter information, generating the change rate of the air outlet temperature difference based on the cold load capacity and the air outlet temperature difference, and obtaining a cold load capacity change signal according to the change rate of the air outlet temperature difference of each area; and a data storage module. The method has the advantages that the air outlet cooling load capacity of each area is dynamically adjusted, energy waste is avoided, and the energy-saving effect is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy-saving air conditioners, and more specifically to a central air conditioner energy-saving automatic control and intelligent monitoring system. Background Art

[0002] In the current central air conditioning field, traditional control and monitoring methods are relatively simple. Most existing systems can only achieve basic temperature regulation functions, collect indoor temperature through simple temperature sensors, and control the air conditioning unit to start or stop when the temperature exceeds the preset range. In terms of data collection, it is often limited to a single parameter of indoor temperature, and lacks comprehensive collection of other key environmental parameters such as humidity, air volume, outlet temperature, pressure, etc.

[0003] In terms of energy consumption management, the lack of comprehensive analysis of indoor and outdoor environmental parameters and accurate calculation of cooling load leads to energy waste during the operation of central air conditioners. For example, when there are fewer people indoors and the actual cooling load demand is low, the air conditioner still operates at a fixed power and fails to dynamically adjust the cooling capacity according to actual demand, resulting in high energy consumption. At the same time, the existing system has limited data processing and storage capabilities, making it difficult to effectively analyze a large amount of operating data and unable to provide strong support for optimizing air conditioning operation strategies.

[0004] In view of this, we propose a central air-conditioning energy-saving automatic control and intelligent monitoring system. Summary of the invention

[0005] The purpose of the present invention is to provide a central air-conditioning energy-saving automatic control and intelligent monitoring system to solve the technical problem of high energy consumption caused by the inability to accurately control in the prior art.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a central air-conditioning energy-saving automatic control and intelligent monitoring system, comprising: An information interaction module, used to receive user operation instructions and perform identity authentication, including a touch screen, a display unit, and a remote mobile terminal interaction interface; Data acquisition module, used to collect indoor and outdoor parameter information in real time, including indoor and outdoor temperature, humidity, air volume, outlet temperature, pressure and time information; A data processing module, used to calculate the cooling load of each area according to the indoor and outdoor parameter information, generate the change rate of the outlet air temperature difference based on the cooling load and the outlet air temperature difference, and obtain a cooling load change signal according to the change rate of the outlet air temperature difference of each area; A data storage module, used to store the indoor and outdoor parameter information, cooling load, outlet air temperature difference, outlet air temperature difference change rate, cooling load change signal and control strategy; The control output module is used to compare the outlet air temperature difference change rate and the cooling load change signal with the preset threshold value, and dynamically adjust the outlet air cooling load of each area according to the control strategy based on the comparison result; The data verification module is used to verify the consistency of the collected data with the preset normal range and trigger an alarm signal when the data is abnormal.

[0007] Preferably, the data acquisition module obtains indoor and outdoor parameter information wirelessly and transmits it to the data storage module in real time; The data storage module also supports data interaction with a cloud server and a remote mobile terminal to achieve remote monitoring and control.

[0008] Preferably, the data processing module calculates the cooling load of each area The method is based on the following formula: ; in, is the number of air-conditioned areas, is the specific heat capacity of air at constant pressure, It is Regional air density, For the Regional air volume, For the Regional indoor temperature, For the Regional outlet temperature, is the surface emissivity, For the Area enclosure surface area, For the The average radiation temperature of the surrounding environment of the area, It is In the region The heat dissipation of each device is estimated by the device power and heat dissipation efficiency; By formula Calculate, where The pressure in this area is is the gas constant, is the temperature of the corresponding area outdoors; By formula Calculate, where It is In the region The view factor of adjacent surfaces, For the The adjacent surface temperature, is the number of adjacent surfaces.

[0009] Preferably, the data processing module generates an outlet temperature difference change rate based on the cooling load and the outlet temperature difference. The method is: First obtain the cooling load difference of each area ,in, The calculated Regional cooling load, For the Set the cooling load for the area; Then obtain the air outlet temperature difference of each area ,in and For the Air outlet temperature at different times in different regions; Then by the formula Calculate the rate of change of the outlet air temperature difference in each area ,in, For the The ratio of the regional cooling load difference to the temperature difference change rate, is the corresponding time interval, is the reference cooling load.

[0010] Preferably, the data processing module obtains a cooling load change signal according to the change rate of the air outlet temperature difference in each area. The method is: Based on the air outlet temperature of each area The rate of change of the outlet temperature difference , through the formula Get the cooling load change signal of each area ,in, , , is the weight coefficient, is the rate of change of outlet temperature difference The derivative with respect to time is approximated by numerical difference method; Then the cooling load change signal of each area is obtained With preset cooling load change signal By comparison, the cooling load change signal difference is obtained. ; According to the cooling load change signal difference, the cooling load change signal difference is compared with the set threshold For comparison, if , get the cooling load increase signal, if , and obtain the cooling load reduction signal.

[0011] Preferably, the control output module dynamically adjusts the air cooling load of each area according to the comparison result and the control strategy in the following manner: When the rate of change of outlet temperature difference Exceeding the preset temperature difference change rate threshold , or when the cooling load change signal exceeds the cooling load change signal threshold, a primary control signal is generated to increase or decrease the regional air volume. When the air volume needs to be increased: According to the formula Adjust air volume; When you need to reduce the air volume: According to the formula Adjust air volume; in, To adjust the front air volume, , , , All are adjustment factors; When the rate of change of outlet temperature difference When the cooling load change signal is lower than the preset threshold, a secondary control signal is generated to maintain or fine-tune the regional air volume; If the current air volume is greater than the energy-saving setting value ; According to the formula Gradually reduce the air volume, including: is the fine-tuning coefficient; If the current air volume has reached or is close to the energy saving setting value , the current air volume remains unchanged.

[0012] Preferably, the control output module further includes: The outlet air temperature difference rate processing submodule is used to calculate the rate of change of the outlet air temperature difference according to the above formula, using parallel computing and efficient algorithm optimization; A comparison submodule, used for comparing the change rate with a threshold in real time; The air conditioning intelligent control submodule is used to adjust the fan coil and the air outlet temperature according to the comparison results.

[0013] Preferably, it also includes a humidity control unit, which is used to determine whether the humidity exceeds a preset range based on the indoor humidity sensor data, and trigger air ventilation adjustment when it exceeds the range. The humidity control unit adopts an adaptive control strategy to dynamically adjust the fresh air introduction and exhaust volumes according to the humidity deviation and change rate, and at the same time combines the humidification or dehumidification function of the air conditioner to ensure that the indoor humidity is stable within a comfortable range.

[0014] Preferably, the control output module is further associated with the air volume change coefficient With running time , through the formula: Dynamically adjust the change in outlet air temperature to improve control accuracy, including: is the initial air volume variation coefficient, is the average indoor temperature, To set the indoor temperature, is the average cooling load, is the average set cooling load, and is the weight coefficient, is the time constant.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention collects parameter information of indoor and outdoor temperature, humidity and air volume in real time through the data acquisition module. The data processing module accurately calculates the cooling load of each area based on this, and generates a change rate based on the cooling load and the outlet air temperature difference. The control output module dynamically adjusts the outlet air cooling load of each area according to the comparison results of these data with the preset threshold value, avoids energy waste, achieves energy saving effect, and solves the problem of high energy consumption due to the inability to accurately control in the prior art.

[0016] 2. The data processing module of the present invention can dynamically adjust the air cooling load of each area according to the indoor and outdoor parameter information collected in real time. When the number of people indoors changes, the indoor heat source increases, or the outdoor temperature changes suddenly, the system will respond quickly and automatically adjust the air outlet temperature and air volume parameters of the air conditioner.

[0017] 3. The present invention not only reduces energy consumption in a single operation, but also saves users a lot of electricity expenses in the long run through accurate calculation of the cooling load of each area and dynamic adjustment of the air outlet cooling load. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 Schematic diagram of the system framework of the present invention. DETAILED DESCRIPTION

[0019] In order to facilitate those skilled in the art to understand the technical solution of the present invention, the technical solution of the present invention is further described in conjunction with the accompanying drawings of the specification.

[0020] like Figure 1 As shown, a central air-conditioning energy-saving automatic control and intelligent monitoring system comprises: An information interaction module for receiving user operation instructions and performing identity authentication, including a touch screen, a display unit, and a remote mobile terminal interaction interface; Data acquisition module for real-time collection of indoor and outdoor parameter information, including indoor and outdoor temperature, humidity, air volume, outlet temperature, pressure and time information; A data processing module for calculating the cooling load of each area according to indoor and outdoor parameter information, generating a change rate of the outlet air temperature difference based on the cooling load and the outlet air temperature difference, and obtaining a cooling load change signal according to the change rate of the outlet air temperature difference of each area; A data storage module for storing indoor and outdoor parameter information, cooling load, outlet air temperature difference, outlet air temperature difference change rate, cooling load change signal and control strategy; A control output module for comparing the outlet air temperature difference change rate and the cooling load change signal with a preset threshold value, and dynamically adjusting the outlet air cooling load of each area according to the control strategy based on the comparison result; A data verification module is used to verify the consistency of collected data with the preset normal range and trigger an alarm signal when the data is abnormal.

[0021] In an embodiment of the present invention, the data acquisition module obtains indoor and outdoor parameter information wirelessly and transmits it to the data storage module in real time; The data storage module also supports data interaction with cloud servers and remote mobile terminals to achieve remote monitoring and control.

[0022] In an embodiment of the present invention, the data processing module calculates the cooling load of each area The method is based on the following formula: ; in, is the number of air-conditioned areas, is the specific heat capacity of air at constant pressure, It is Regional air density, For the Regional air volume, For the Regional indoor temperature, For the Regional outlet temperature, is the surface emissivity, For the Area enclosure surface area, For the The average radiation temperature of the surrounding environment of the area, It is In the region The heat dissipation of each device is estimated by the device power and heat dissipation efficiency. This calculation method takes into account dynamic factors such as indoor personnel activities, equipment heat dissipation, and heat transfer and radiation heat exchange of the enclosure structure, making the calculation of cooling load more accurate. By formula Calculate, where The pressure in this area is is the gas constant, is the temperature of the corresponding area outdoors; By formula Calculate, where It is In the region The view factor of adjacent surfaces, For the The adjacent surface temperature, is the number of adjacent surfaces; The data processing module generates the outlet temperature difference change rate based on the cooling load and outlet temperature difference The method is: First obtain the cooling load difference of each area ,in, The calculated Regional cooling load, For the Set the cooling load for the area; Then obtain the air outlet temperature difference of each area ,in and For the Air outlet temperature at different times in different regions; Then by the formula Calculate the rate of change of the outlet air temperature difference in each area ,in, For the The ratio of the regional cooling load difference to the temperature difference change rate is determined by the set threshold combined with the regional characteristics. is the corresponding time interval, For reference cooling load, it is determined according to the building type and size; The data processing module obtains the cooling load change signal based on the change rate of the air outlet temperature difference in each area. The method is: Based on the air outlet temperature of each area The rate of change of the outlet temperature difference , through the formula Get the cooling load change signal of each area ,in, , , is the weight coefficient obtained by optimizing the experimental and actual operation data. is the rate of change of outlet temperature difference The derivative with respect to time is approximated by numerical difference method; Then the cooling load change signal of each area is obtained With preset cooling load change signal By comparison, the cooling load change signal difference is obtained. ; According to the cooling load change signal difference, the cooling load change signal difference is compared with the set threshold For comparison, if , get the cooling load increase signal, if , and obtain the cooling load reduction signal.

[0023] In an embodiment of the present invention, the method for controlling the output module to dynamically adjust the air cooling load of each area according to the comparison result and the control strategy is: When the rate of change of outlet temperature difference Exceeding the preset temperature difference change rate threshold , or when the cooling load change signal exceeds the cooling load change signal threshold, a primary control signal is generated to increase or decrease the regional air volume. When the air volume needs to be increased: According to the formula Adjust air volume; When you need to reduce the air volume: According to the formula Adjust air volume; in, To adjust the front air volume, , , , These are adjustment coefficients. Through this dynamic adjustment method, it can respond quickly according to the actual operation deviation of the system to ensure the stability of the indoor environment. When the rate of change of outlet temperature difference When the cooling load change signal is lower than the preset threshold, a secondary control signal is generated to maintain or fine-tune the regional air volume; If the current air volume is greater than the energy-saving setting value ; According to the formula Gradually reduce the air volume, including: is the fine-tuning coefficient; If the current air volume has reached or is close to the energy saving setting value , the current air volume remains unchanged; The control output module is further associated with the air volume change coefficient With running time , through the formula: Dynamically adjust the change in outlet air temperature to improve control accuracy, including: is the initial air volume variation coefficient, is the average indoor temperature, To set the indoor temperature, is the average cooling load, is the average set cooling load, and is the weight coefficient, is the time constant. Through this formula, the system can automatically optimize the air volume change coefficient according to the operating time and indoor environment changes to improve the control performance; The control output module also includes: The outlet air temperature difference rate processing submodule is used to calculate the change rate of the outlet air temperature difference according to the above formula. It adopts parallel computing and efficient algorithm optimization, and can quickly and accurately calculate the change rate of the outlet air temperature difference to meet the real-time requirements of the system. The comparison submodule is used to compare the change rate with the threshold in real time. It uses high-speed data comparator and intelligent cache technology to process multiple regional data at the same time to improve comparison efficiency and accuracy; The air conditioning intelligent control submodule is used to adjust the fan coil and the outlet air temperature according to the comparison results. This submodule combines fuzzy control, neural network and other intelligent control algorithms to intelligently adjust the fan coil wind speed, water valve opening, etc. according to the changes in the indoor and outdoor environment and user needs, so as to achieve precise control of the outlet air temperature. In an embodiment of the present invention, a humidity control unit is also included, which is used to determine whether the humidity exceeds a preset range based on the indoor humidity sensor data, and trigger air ventilation adjustment when it exceeds the range. The humidity control unit adopts an adaptive control strategy to dynamically adjust the fresh air introduction and exhaust volumes according to the humidity deviation and change rate, and combines the humidification or dehumidification function of the air conditioner to ensure that the indoor humidity is stable within a comfortable range.

[0024] The embodiments of the present invention disclose preferred embodiments, but are not limited thereto. A person skilled in the art can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. However, as long as they do not deviate from the spirit of the present invention, they are all within the protection scope of the present invention.

Claims

1. A central air conditioning energy-saving automatic control and intelligent monitoring system, characterized in that: include: An information interaction module, used to receive user operation instructions and perform identity authentication, including a touch screen, a display unit, and a remote mobile terminal interaction interface; Data acquisition module, used to collect indoor and outdoor parameter information in real time, including indoor and outdoor temperature, humidity, air volume, outlet temperature, pressure and time information; A data processing module, used to calculate the cooling load of each area according to the indoor and outdoor parameter information, generate the change rate of the outlet air temperature difference based on the cooling load and the outlet air temperature difference, and obtain a cooling load change signal according to the change rate of the outlet air temperature difference of each area; A data storage module, used to store the indoor and outdoor parameter information, cooling load, outlet air temperature difference, outlet air temperature difference change rate, cooling load change signal and control strategy; The control output module is used to compare the outlet air temperature difference change rate and the cooling load change signal with the preset threshold value, and dynamically adjust the outlet air cooling load of each area according to the control strategy based on the comparison result; The data verification module is used to verify the consistency of the collected data with the preset normal range and trigger an alarm signal when the data is abnormal.

2. A central air-conditioning energy-saving automatic control and intelligent monitoring system according to claim 1, characterized in that: The data acquisition module obtains indoor and outdoor parameter information wirelessly and transmits it to the data storage module in real time; The data storage module also supports data interaction with a cloud server and a remote mobile terminal to achieve remote monitoring and control.

3. A central air-conditioning energy-saving automatic control and intelligent monitoring system according to claim 2, characterized in that: The data processing module calculates the cooling load of each area The method is based on the following formula: ； in, is the number of air-conditioned areas, is the specific heat capacity of air at constant pressure, It is Regional air density, For the Regional air volume, For the Regional indoor temperature, For the Regional outlet temperature, is the surface emissivity, For the Area enclosure surface area, For the The average radiation temperature of the surrounding environment of the area, It is In the region The heat dissipation of each device is estimated by the device power and heat dissipation efficiency; By formula Calculate, where The pressure in this area is is the gas constant, is the temperature of the corresponding outdoor area; By formula Calculate, where It is In the region The view factor of adjacent surfaces, For the The adjacent surface temperature, is the number of adjacent surfaces.

4. A central air-conditioning energy-saving automatic control and intelligent monitoring system according to claim 3, characterized in that: The data processing module generates an outlet temperature difference change rate based on the cooling load and the outlet temperature difference The method is: First obtain the cooling load difference of each area ,in, The calculated Regional cooling load, For the Set the cooling load for the area; Then obtain the air outlet temperature difference of each area ,in and For the Air outlet temperature at different times in different regions; Then through the formula Calculate the rate of change of the outlet air temperature difference in each area ,in, For the The ratio of the regional cooling load difference to the temperature difference change rate, is the corresponding time interval, is the reference cooling load.

5. A central air-conditioning energy-saving automatic control and intelligent monitoring system according to claim 4, characterized in that: The data processing module obtains a cooling load change signal according to the change rate of the air outlet temperature difference in each area. The method is: Based on the air outlet temperature of each area The rate of change of the outlet temperature difference , through the formula Get the cooling load change signal of each area ,in, , , is the weight coefficient, is the rate of change of outlet temperature difference The derivative with respect to time is approximated by numerical difference method; Then the cooling load change signal of each area is obtained With preset cooling load change signal By comparison, the cooling load change signal difference is obtained. ; According to the cooling load change signal difference, the cooling load change signal difference is compared with the set threshold For comparison, if , get the cooling load increase signal, if , and obtain the cooling load reduction signal.

6. A central air-conditioning energy-saving automatic control and intelligent monitoring system according to claim 5, characterized in that: The method for the control output module to dynamically adjust the air cooling load of each area according to the comparison result and the control strategy is: When the rate of change of outlet temperature difference Exceeding the preset temperature difference change rate threshold , or when the cooling load change signal exceeds the cooling load change signal threshold, a primary control signal is generated to increase or decrease the regional air volume. When the air volume needs to be increased: According to the formula Adjust air volume; When you need to reduce the air volume: According to the formula Adjust air volume; in, To adjust the front air volume, , , , All are adjustment factors; When the rate of change of outlet temperature difference When the cooling load change signal is lower than the preset threshold, a secondary control signal is generated to maintain or fine-tune the regional air volume; If the current air volume is greater than the energy-saving setting value ; According to the formula Gradually reduce the air volume, including: is the fine-tuning coefficient; If the current air volume has reached or is close to the energy saving setting value , the current air volume remains unchanged.

7. A central air-conditioning energy-saving automatic control and intelligent monitoring system according to claim 6, characterized in that: The control output module also includes: The outlet air temperature difference rate processing submodule is used to calculate the rate of change of the outlet air temperature difference according to the above formula, using parallel computing and efficient algorithm optimization; A comparison submodule, used for comparing the change rate with a threshold in real time; The air conditioning intelligent control submodule is used to adjust the fan coil and the air outlet temperature according to the comparison results.

8. A central air-conditioning energy-saving automatic control and intelligent monitoring system according to claim 1, characterized in that: It also includes a humidity control unit, which is used to determine whether the humidity exceeds the preset range based on the indoor humidity sensor data, and trigger air ventilation adjustment when it exceeds the range. The humidity control unit adopts an adaptive control strategy to dynamically adjust the fresh air introduction and exhaust volume according to the humidity deviation and change rate, and combines the humidification or dehumidification function of the air conditioner to ensure that the indoor humidity is stable within a comfortable range.

9. A central air-conditioning energy-saving automatic control and intelligent monitoring system according to claim 7, characterized in that: The control output module is further associated with the air volume change coefficient With running time , through the formula: Dynamically adjust the change in outlet air temperature to improve control accuracy, including: is the initial air volume variation coefficient, is the average indoor temperature, To set the indoor temperature, is the average cooling load, is the average set cooling load, and is the weight coefficient, is the time constant.

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