Distributed air handling unit based on edge calculation and control method

Abstract

The invention discloses a distributed air handling unit based on edge computing and a control method, the air handling unit is provided with a data acquisition assembly and an edge computing control cabinet, the air handling unit is used as a data source, and data acquired by the data acquisition assembly can be directly computed and processed in the edge computing control cabinet close to the data source; the data does not need to be transmitted to a far-end cloud data processing center, so that the delay of data transmission and calculation is effectively reduced, and the running state of the air handling unit can be responded and controlled in real time; meanwhile, a data acquisition assembly acquires internal and external data of the air handling unit, all internal and external factors influencing operation of the air handling unit are comprehensively considered through an edge calculation control cabinet in combination with historical operation data and unit configuration information, and the operation state of the air handling unit is adjusted as required in an edge calculation mode; therefore, the environmental comfort is ensured, and the operation energy consumption is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning, and particularly to a distributed air handling unit based on edge computing. Background Art

[0002] For large public buildings with large space volumes and large numbers of people, such as airport terminals, high-speed railway stations, convention centers, etc., a fully-air conditioning system is usually adopted to adjust the indoor air temperature, humidity and air quality. There are multiple air handling units distributed in different areas of the building, and the multiple air handling units are centrally controlled through the commands of the building's weak current system, resulting in relatively high energy consumption of the air handling units, accounting for about 30% of the overall energy consumption of the air conditioning system.

[0003] Chinese Patent with Publication No. CN 112665034 A discloses a distributed air handling unit, which includes a central control system, a cold and heat source system, a fresh air dehumidification system, a sensor group and a cloud server connected to the central control system. Relevant data is collected through indoor and outdoor sensors and fed back to the central control system. Through a logical method of digital calculation, centralized processing and distributed control, the cooperation of the central control system and the cloud server is adopted to adjust the air in each room.

[0004] However, the above solution transmits the data of the distributed air handling unit to a remote central control system and cloud server for centralized calculation and processing, resulting in low data transmission and processing efficiency, easy to generate delays, unable to perform real-time response and control on the distributed air handling unit, and at the same time causing relatively high operation energy consumption.

[0005] Therefore, how to effectively improve the data processing efficiency of the distributed air handling unit, achieve real-time response and control of the distributed air handling unit, and reduce operation energy consumption has become an urgent problem to be solved in this field. Summary of the Invention

[0006] Aiming at the defects of the prior art, the purpose of the present invention is to provide a distributed air handling unit based on edge computing and a control method that can quickly process and respond and has low operation energy consumption.

[0007] To achieve the above purpose, the distributed air handling unit based on edge computing provided by the present invention is connected to an air conditioning host through a water circuit component, and is provided with a air supply component and a return air component. The air handling unit is also provided with a data acquisition component and an edge computing control cabinet.

[0008] The data acquisition component is configured to be able to collect the internal operation data and external environment data of the air handling unit in real time.

[0009] The edge computing control cabinet is connected to the data acquisition component, configured to receive the internal operation data and external environment data, and combine the historical operation data and unit configuration information of the air handling unit to calculate in real time the required refrigeration or heating capacity of the air handling unit, so as to control the operation state of the air handling unit in real time.

[0010] Further, the data acquisition component includes a sensing and monitoring system for collecting the internal operation data, and the sensing and monitoring system includes a supply and return air temperature and humidity sensing module, a supply and return water temperature and flow sensing module, and a supply air pressure difference and wind speed sensing module.

[0011] Further, the data acquisition component further includes a building information system for collecting the external environment data, and the building information system includes an enclosure structure heat gain collection module, a lighting and equipment heat collection module, a fresh air outdoor load collection module, a personnel heat dissipation load collection module, and a subjective environment feedback module.

[0012] Further, the data acquisition component further includes a detection camera configured to collect personnel density information.

[0013] Further, the edge computing control cabinet includes a data processing module, an edge computing module, and a control execution module. The data processing module is configured to receive and integrate in real time the internal operation data, external environment data, historical operation data, and unit configuration information, and provide a demand calculation basis for the air handling unit for the edge computing module.

[0014] Further, the edge computing module is configured to process the demand calculation basis in real time to generate the required refrigeration or heating capacity of the air handling unit, and transmit it to the control execution module in real time.

[0015] Further, the control execution module is respectively connected to and adjusts the operation parameters of the water circuit component and the air supply component.

[0016] Further, the water circuit component includes a water supply pipeline and a water return pipeline, and a water return valve actuator is provided on the water return pipeline. The air supply component includes an electric spherical nozzle and an air supply fan.

[0017] Further, the air return component is composed of an air return grille.

[0018] To achieve the above object, the control method of the distributed air handling unit based on edge computing provided by the present invention is based on the distributed air handling unit based on edge computing, and the control method includes:

[0019] The sensing and monitoring system, building information system, and detection cameras of the data acquisition component respectively collect the internal operation data and external environment data of the air handling unit in real time, and transmit them to the edge computing control cabinet in real time.

[0020] The data processing module of the edge computing control cabinet receives the internal operation data and external environment data, and integrates the historical operation data and unit configuration information of the air handling unit to provide a basis for demand calculation of the air handling unit for the edge computing module.

[0021] The edge computing module processes the demand calculation basis in real time to generate the required cooling or heating capacity of the air handling unit, and transmits it to the control execution module in real time, so that the control execution module correspondingly adjusts the operation parameters of the water circuit component and the air supply component.

[0022] For the distributed air handling unit and control method based on edge computing provided by the present invention, the air handling unit serves as a data source, and the data collected by the data acquisition component can be directly calculated and processed in the edge computing control cabinet close to the data source, without the need to transmit the data to the remote cloud data processing center, thereby effectively reducing the delay of data transmission and calculation, and being able to respond and control the operation state of the air handling unit in real time.

[0023] At the same time, the data acquisition component collects the internal and external data of the air handling unit, and combines the historical operation data and unit configuration information through the edge computing control cabinet to comprehensively consider all internal and external factors affecting the operation of the air handling unit, and adjusts the operation state of the air handling unit as needed through the edge computing method, thereby reducing the operation energy consumption while ensuring environmental comfort. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The present invention will be further described below in conjunction with the drawings and specific embodiments.

[0025] Figure 1 It is a schematic diagram of the overall structure of the distributed air handling unit based on edge computing in the present invention;

[0026] Figure 2 It is a side view schematic diagram of the air handling unit in the present invention;

[0027] Figure 3 It is a system block diagram of the data acquisition component in the present invention;

[0028] Figure 4 It is a system block diagram of the edge computing control cabinet in the present invention;

[0029] Figure 5 It is a flowchart of the control method in the present invention;

[0030] Reference Signs:

[0031] 1. Air handling unit;

[0032] 100. Data acquisition component; 110. Sensing and monitoring system; 111. Supply air temperature and humidity sensor; 112. Return air temperature and humidity sensor; 113. Water supply temperature sensor; 114. Water supply flow sensor; 115. Return water temperature sensor; 116. Supply fan differential pressure sensor; 117. Supply air velocity sensor; 120. Building information system; 121. Heat gain collection module of the building envelope; 122. Heat collection module of lights and equipment; 123. Outdoor load collection module of fresh air; 124. Heat dissipation load collection module of personnel; 125. Subjective environment feedback module; 130. Detection camera;

[0033] 200. Edge computing control cabinet; 210. Data processing module; 220. Edge computing module; 230. Control execution module;

[0034] 300. Water circuit component; 310. Water supply pipeline; 320. Return water pipeline; 321. Return water valve controller;

[0035] 400. Supply air component; 410. Electric spherical nozzle; 420. Supply air fan;

[0036] 500. Return air component; 600. Information display screen; 700. Maintenance door. Detailed implementation manners

[0037] In order to make the technical means, creative features, achieved purposes and functions of the present invention easy to understand, the present invention will be further described below with reference to specific drawings.

[0038] In the prior art, in order to facilitate data processing, the data monitored by the air handling unit is transmitted to the back end of the air conditioner host for centralized processing. The existing air handling unit does not have the ability of independent calculation and control. The distributed air handling unit based on edge computing provided by the present invention sets an edge computing control cabinet on the air handling unit to perform calculation processing on the monitored data directly on the front-end air handling unit close to the data source, so that the air handling unit can achieve independent calculation and control.

[0039] See Figure 1 and Figure 2 , which shows an example of the distributed air handling unit based on edge computing provided by the present invention.

[0040] As can be seen from the figure, the air handling unit 1 of this example is provided with a data acquisition component 100 and an edge computing control cabinet 200.

[0041] The data acquisition component 100 is configured to collect the internal operation data and external environment data of the air handling unit 1 in real time; the edge computing control cabinet 200 is connected to the data acquisition component 100 and is configured to receive the internal operation data and external environment data, and combine the historical operation data and unit configuration information of the air handling unit 1 to calculate the required cooling or heating capacity of the air handling unit 1 in real time, so as to control the operation state of the air handling unit 1 in real time. The data collected by the data acquisition component 100 is directly calculated and processed in the edge computing control cabinet 200 close to the data source, without the need to transmit the data to the remote cloud data processing center, thereby effectively reducing the delay of data transmission and calculation, being able to respond and control the operation state of the air handling unit 1 in real time, and comprehensively considering all internal and external factors affecting the operation of the air handling unit, and adjusting the operation state of the air handling unit 1 as needed, so as to reduce the operation energy consumption while ensuring the environmental comfort.

[0042] Combined with Figure 1 and Figure 2 , wherein, the air handling unit 1 is connected to the air conditioner main unit through the water circuit component 300, and is provided with a supply air component 400 and a return air component 500. The water circuit component 300, the supply air component 400 and the return air component 500 can cooperate with each other to adjust the air temperature and quality of the external environment of the air handling unit 1.

[0043] As an example, in this embodiment, the water circuit component 300 includes a water supply pipeline 310 and a water return pipeline 320, so that the air conditioner main unit can supply water to the air handling unit 1 through the water supply pipeline 310, and the air handling unit 1 can also return water through the water return pipeline 320, thereby adjusting the air temperature in the air handling unit 1.

[0044] Furthermore, the supply air component 400 includes an electric spherical nozzle 410 and a supply air fan 420. The supply air fan 420 is built in the air handling unit 1. The electric spherical nozzles 410 are preferably distributed around the upper area of the air handling unit 1, so that the supply air fan 420 adjusts the air flow rate and quality, and sends the air out to the external environment through the electric spherical nozzles 410.

[0045] Correspondingly, in this embodiment, the return air component 500 is composed of return air grilles distributed in the lower area of the air handling unit 1, so that the air in the external environment can enter the air handling unit 1 through the return air grilles, and after being processed by the supply air fan 420, it is sent out to the external environment again through the electric spherical nozzles 410, thereby realizing the adjustment of the air temperature and quality of the external environment by the air handling unit 1.

[0046] To control the operating state of the air handling unit 1 and ensure the comfort of the external environment, a data acquisition component 100 is provided on the air handling unit 1. The data acquisition component 100 is configured to be able to collect the internal operating data and external environment data of the air handling unit 1 in real time, and provide operating adjustment reference data for the air handling unit 1.

[0047] Combined Figures 1 to 3 , further, the data acquisition component 100 includes a sensing and monitoring system 110. The sensing and monitoring system 110 includes a supply and return air temperature and humidity sensing module, a supply and return water temperature and flow sensing module, and a supply air pressure difference and wind speed sensing module distributed on the air handling unit 1 to collect the internal operating data of the air handling unit 1 in real time.

[0048] Specifically, the supply and return air temperature and humidity sensing module is composed of a supply air temperature and humidity sensor 111 provided at the electric spherical nozzle 410 and a return air temperature and humidity sensor 112 provided on the return air grid, so that the supply air temperature and humidity sensor 111 can monitor the temperature and humidity of the air sent out by the electric spherical nozzle 410 in real time, and the return air temperature and humidity sensor 112 can monitor the temperature and humidity of the air entering the return air grid in real time, thereby collecting the supply and return air temperature and humidity values of the air handling unit 1 in real time.

[0049] Further, the supply and return water temperature and flow sensing module includes a supply water temperature sensor 113 and a supply water flow sensor 114 respectively provided on the supply water pipeline 310 and a return water temperature sensor 115 provided on the return water pipeline 320, so that the supply water temperature sensor 113 and the supply water flow sensor 114 can respectively monitor the supply water temperature and flow rate delivered by the air conditioner main unit to the air handling unit 1 through the supply water pipeline 310 in real time, and the return water temperature sensor 115 can monitor the return water temperature delivered by the air handling unit 1 to the air handling unit 1 through the return water pipeline 320 in real time, thereby collecting the supply and return water temperature values and flow rate values of the air handling unit 1 in real time.

[0050] Correspondingly, the supply air pressure difference and wind speed sensing module includes a supply fan pressure difference sensor 116 provided on the supply fan 420 and a supply air wind speed sensor 117 provided at the electric spherical nozzle 410, so that the supply fan pressure difference sensor 116 can monitor the pressure difference generated by the operation of the supply fan 420 in real time, and the supply air wind speed sensor 117 can monitor the air wind speed sent out by the electric spherical nozzle 410 in real time, thereby collecting the supply air pressure difference and wind speed values of the air handling unit 1 in real time.

[0051] The thus-formed sensing and monitoring system 110 can collect the internal operating data of the air handling unit 1 in real time, including the supply and return air temperature and humidity values, the supply and return water temperature values and flow rate values, and the supply air pressure difference and wind speed values, and transmit these internal operating data to the edge computing control cabinet 200 in real time.

[0052] Considering that the external environment will affect the operating state of the air handling unit 1, the data acquisition component 100 further includes a building information system 120, which includes an envelope heat gain acquisition module 121, a lighting and equipment heat acquisition module 122, a fresh air outdoor load acquisition module 123, a personnel heat dissipation load acquisition module 124, and a subjective environment feedback module 125 to collect the external environment data of the air handling unit 1 in real time.

[0053] Combined with Figures 1 to 3 , specifically, the envelope heat gain acquisition module 121 is configured to estimate the solar radiation and outdoor temperature in real time to determine the heat entering the indoor environment from the envelope structure (such as walls, windows, roofs, etc.), so as to collect the envelope heat gain value of the external environment of the air handling unit 1 in real time.

[0054] As an example, the envelope heat gain acquisition module 12 includes a radiation sensor that can collect the solar radiation irradiated on the envelope structure by the sun and calculate the irradiated area of the envelope structure to calculate the radiant heat gain on the surface of the envelope structure, so as to obtain the heat entering the indoor environment from the envelope structure.

[0055] Furthermore, the lighting and equipment heat acquisition module 122 is configured to obtain the heat generated by the building lighting and equipment in the indoor environment in real time, so as to collect the lighting and equipment heat value of the external environment of the air handling unit 1 in real time.

[0056] As an example, the lighting and equipment heat acquisition module 122 includes a wattmeter monitor that can monitor the energy consumption of lighting and equipment and calculate the overall heat generation of lighting and equipment through the corresponding electric power to heat power coefficient, so as to obtain the heat generated by lighting and equipment in the indoor environment.

[0057] Furthermore, the fresh air outdoor load acquisition module 123 is configured to monitor the fresh air volume and fresh air temperature of the outdoor air introduced in real time, and calculate the fresh air volume and fresh air temperature to obtain the indoor load increased by introducing outdoor air, so as to collect the fresh air outdoor load value of the external environment of the air handling unit 1 in real time.

[0058] As an example, the fresh air outdoor load acquisition module 123 includes a fresh air flow sensor and a fresh air temperature sensor to monitor the flow and temperature of the introduced fresh air and calculate the power of the air handling unit 1 consumed by the fresh air, which is the fresh air heat load.

[0059] Even further, the personnel heat dissipation load acquisition module 124 is configured to obtain the heat affecting the temperature change of indoor personnel in real time, so as to collect the personnel heat dissipation load value of the external environment of the air handling unit 1 in real time.

[0060] For example, the personnel heat dissipation load acquisition module 124 can calculate the total load according to the real-time dynamic number of people in the room at a calorific value of 90 W per person, so as to obtain the heat affecting the temperature change of the people in the room.

[0061] At the same time, the subjective environment feedback module 125 is composed of a feedback collection application on a mobile device. Indoor personnel can feedback on the indoor environment through the feedback collection application at any time, so as to collect the real-time subjective environment feedback value of the personnel in the area covered outside the air handling unit 1 in real time.

[0062] Combined with Figures 1 to 3 , further, the data acquisition component 100 further includes a detection camera 130. As an optimal setting solution, four detection cameras 130 are respectively distributed around the air handling unit 1, and the personnel density information of the external environment of the air handling unit 1 is collected in real time.

[0063] Here, the detection camera 130 can be composed of an existing personnel density detection camera.

[0064] For example, the detection camera 130 counts a columnar object with a movable human body size of about 35 °C as a person, and obtains the personnel density information of the area by calculating the number of people per unit area. If the personnel density information in a certain area around the air handling unit 1 exceeds 1 person / m², then this area is defined as a high-density gathering area.

[0065] The building information system 120 and the detection camera 130 thus constituted can collect the external environment data of the air handling unit 1 in real time, including the heat gain value of the enclosure structure, the heat values of lights and equipment, the outdoor load value of fresh air, the personnel heat dissipation load value, the subjective environment feedback value and the personnel density information, and transmit these external environment data to the edge computing control cabinet 200 in real time.

[0066] The data acquisition component 100 cooperates with the sensing monitoring system 110, the building information system 120 and the detection camera 130 to collect the internal operation data and external environment data of the air handling unit 1 in real time, and transmit the internal operation data and external environment data to the edge computing control cabinet 200 in real time, and cooperate with the edge computing control cabinet 200 to realize the control of the operation state of the air handling unit 1.

[0067] Combined with Figure 1 and Figure 4, correspondingly, the air handling unit 1 serves as the data source. The edge computing control cabinet 200 is installed on the air handling unit 1, enabling the data collected by the data acquisition component 100 to be directly transmitted to the edge computing control cabinet 200 near the data source for calculation and processing, without the need to transmit the data to the remote cloud data processing center. This effectively reduces the latency of data transmission and calculation, allowing the edge computing control cabinet 200 to respond in real time and control the operating state of the air handling unit 1.

[0068] Specifically, the edge computing control cabinet 200 includes a data processing module 210, an edge computing module 220, and a control execution module 240. The data processing module 210, the edge computing control module 220, and the control execution module 230 can cooperate with each other to process the data collected by the data acquisition component 100, and calculate in real time the cooling or heating capacity required by the air handling unit 1 to control the operating state of the air handling unit 1 in real time.

[0069] Furthermore, the data processing module 210 is configured to receive in real time the internal operation data and external environment data transmitted by the data acquisition component 100, and integrate the historical operation data and unit configuration information of the air handling unit 1, so as to comprehensively consider all internal and external factors affecting the operation of the air handling unit 1 and provide a basis for demand calculation for the edge computing module 220.

[0070] In the specific application process, the data processing module 210 classifies, cleans, and stores the internal operation data, external environment data, historical operation data, and unit configuration information to provide reasonable data and enable the edge computing control module 220 to calculate quickly.

[0071] The data processing module 210 first performs data classification processing and classifies the data into security data, key data, and general data.

[0072] As an example, the data processing module 210 classifies the data directly related to the system security or equipment protection of the air handling unit 1 as security data, such as the user login information of the air handling unit 1, the security configuration of the sensors, etc. At the same time, the data processing module 210 classifies the internal operation data, external environment data, and unit configuration information, which have a greater impact on the operating state of the air handling unit 1, as key data, and classifies the historical operation data with a smaller impact on the operation of the air handling unit 1 as general data, so as to facilitate the edge computing module 220 to quickly call the classified data and calculate the internal operation data and external environment data in combination with the historical operation data and unit configuration information.

[0073] Furthermore, the data processing module 210 performs data cleaning processing, judges the rationality of the internal operation data and the external environment data, and eliminates the data beyond the reasonable range to ensure the calculation accuracy of the edge computing module 220.

[0074] Next, the data processing module 210 performs data storage processing, stores the classified and cleaned data, and stores the data at time intervals such as every minute, every hour, every day, every quarter, and every year. This not only facilitates the call but also provides historical operation data for the edge computing module 220 to analyze the current demand of the air handling unit 1 according to the time period.

[0075] In this example, the historical operation data includes the monitoring values of all sensors in the air handling unit 1, such as the historical supply and return air temperature and humidity values, supply and return water temperature values, flow values, supply air pressure difference, and wind speed values of the air handling unit 1, etc., to combine the historical operation data to judge the accuracy and reliability of the current internal operation data and external environment data, and provide a basis for the current required cooling or heating capacity of the air handling unit 1.

[0076] Correspondingly, the unit configuration information includes the operation state data of the air handling unit 1 itself, such as the power of the air handling unit 1 operation, the speed setting value of the supply air fan 420, and the usage time of the filter in the air handling unit 1, etc., to ensure that the air handling unit 1 can reasonably utilize the unit configuration information, avoid overloading operation, and ensure the reliability of the air handling unit 1.

[0077] The data processing module 210 thus constituted can integrally combine the internal operation data, external environment data, historical operation data, and unit configuration information in real time, providing a basis for the demand calculation of the air handling unit 1 for the edge computing module 220.

[0078] In cooperation with this, the edge computing module 220 is configured to be able to process the demand calculation basis in real time, perform edge computing on the demand calculation basis to generate the required cooling or heating capacity of the air handling unit 1, and transmit it to the control execution module 230 in real time.

[0079] In the specific application process, the edge computing module 22 calls the internally stored operation data and external environment data classified and stored by the data processing module 210. While considering the internally and externally obtained operation data in real time, it combines the historical operation data and unit configuration information, and through big data models and artificial intelligence algorithms, on the premise of ensuring that the air handling unit 1 can reasonably utilize the unit configuration information, outputs the current required cooling or heating capacity of the air handling unit 1, as well as the operation parameters to meet the current required cooling or heating capacity, facilitating the control of the operation state of the air handling unit 1.

[0080] For example, the edge computing module 220 calls the return air temperature value in the internal operation data and the personnel density information in the external environment data, calculates the air flow rate and heat load of the external environment of the air handling unit 1 based on the return air temperature value and the personnel density information, and uses the return air temperature value and the personnel density information at this time as historical operation data. Then, it calls the return air temperature value and the personnel density information collected in real time. Compared with the historical operation data, if the return air temperature value collected in real time continues to rise and the personnel density information defines this area as a high-density gathering area, the edge computing module 220 can calculate the rising speed and rising value of the return air temperature, as well as the corresponding area of the high-density gathering area in combination with the historical operation data, so as to calculate the cooling capacity currently required by the air handling unit 1.

[0081] Furthermore, the edge computing module 220 further combines the required cooling capacity and the unit configuration information to calculate the operating parameters that need to be adjusted to meet the required cooling capacity, such as the operating parameters of the air supply speed, air supply temperature, and air supply direction. Then, it issues a control instruction to the control execution module 230, so that the control execution module 230 correspondingly controls the operating state of the air handling unit 1, increases the air supply speed and decreases the air supply temperature at the same time to meet the cooling capacity currently required by the air handling unit 1.

[0082] Combined with Figure 1 , in order to enable the control execution module 230 to correspondingly control the operating state of the air handling unit 1, a return water valve actuator 321 is provided on the return water pipeline 320. The control execution module 230 is connected to the return water valve actuator 321 and can control the operating parameters of the return water valve actuator 321, such as the opening degree of the return water valve actuator 321, to adjust the return water flow rate of the air handling unit 1, thereby adjusting the air supply temperature of the air handling unit 1.

[0083] Correspondingly, the control execution module 230 is connected to the electric spherical nozzle 410 and the air supply fan 420, and can respectively control the operating parameters of the electric spherical nozzle 410 and the air supply fan 420, such as the opening size and opening direction of the electric spherical nozzle 410, and the rotation speed of the air supply fan 420, to adjust the air supply flow rate and air supply direction of the air handling unit 1.

[0084] For example, the control execution module 230 obtains the cooling capacity required by the air handling unit 1 and the corresponding operating parameters, and combines the high-density gathering area corresponding to the personnel density information to adjust the opening degree of the return water valve actuator 321, the opening size of the electric spherical nozzle 410, and the rotation speed of the air supply fan 420, so as to increase the air supply flow rate of the air handling unit 1 and decrease the air supply temperature to meet the required cooling capacity. At the same time, the control execution module 230 adjusts the opening direction of the electric spherical nozzle 410 to direct the air supply direction to the high-density gathering area to improve the comfort of the high-density personnel gathering area.

[0085] The thus-formed control execution module 230 adjusts the operating parameters of the waterway assembly 300 and the air supply assembly 400 in real time according to the required refrigeration or heating capacity of the air handling unit 1, controls the supply air temperature, flow rate and direction of the air handling unit 1, so as to quickly respond and adjust the operating state of the air handling unit 1 as required, and can effectively reduce the operating energy consumption of the air handling unit 1.

[0086] The data acquisition component 100 and the edge computing control cabinet 200 cooperate to comprehensively collect all internal and external factors affecting the operation of the air handling unit 1, and by means of edge computing, accurately adjust the operating state of the air handling unit 1 in real time as required, so as to reduce the operating energy consumption while ensuring the comfort of the external environment.

[0087] Combined Figure 1 , further, an information display screen 600 is also provided on the air handling unit 1. The information display screen 600 is connected to the data acquisition component 100 and the edge computing control cabinet 200, and is configured to be able to display the collected internal operation data and external environment data in real time, as well as the required refrigeration or heating capacity of the air handling unit 1 obtained by the edge computing control cabinet 200.

[0088] Combined Figure 2 , in some embodiments, a maintenance door 700 is also provided on the air handling unit 1, which is convenient for maintaining the data acquisition component 100 and the edge computing control cabinet 200, and improves the reliability of the air handling unit 1.

[0089] Thus, the distributed air handling unit based on edge computing provided by the present invention is formed.

[0090] The present invention also provides a control method for a distributed air handling unit based on edge computing. Based on the distributed air handling unit formed by the above solution, this control method includes:

[0091] Combined Figure 5 , the sensing and monitoring system 110, the building information system 120 and the detection camera 130 of the data acquisition component 100 respectively collect the internal operation data and external environment data of the air handling unit 1 in real time, and transmit them to the edge computing control cabinet 200 in real time.

[0092] Specifically, the sensing and monitoring system 110 respectively collects the air temperature and humidity value, the supply and return water temperature value and flow value, and the supply air pressure difference and wind speed value of the air handling unit 1 in real time through the supply and return air temperature and humidity sensing module, the supply and return water temperature and flow sensing module, and the supply air pressure difference and wind speed sensing module, so as to obtain the internal operation data of the air handling unit 1.

[0093] Meanwhile, the building information system 120 respectively and in real time collects the heat gain value of the building envelope of the external environment of the air handling unit 1, the heat value of lights and equipment, the outdoor load value of fresh air, the heat dissipation load value of personnel, and the subjective environment feedback value through the building envelope heat gain collection module 121, the lights and equipment heat collection module 122, the fresh air outdoor load collection module 123, the personnel heat dissipation load collection module 124, and the subjective environment feedback module 125.

[0094] Furthermore, the detection camera 130 collects the personnel density information of the external environment of the air handling unit 1, so that the building information system 120 and the detection camera 130 cooperate with each other to obtain the external environment data of the air handling unit 1.

[0095] The data acquisition component 100 transmits the internal operation data and external environment data of the air handling unit 1 to the edge computing control cabinet 200 close to the data source in real time, reducing data transmission and processing delay.

[0096] The data processing module 210 in the edge computing control cabinet 200 receives the internal operation data and external environment data, and integrates the historical operation data and unit configuration information of the air handling unit 1 to provide a basis for demand calculation for the edge computing module 220.

[0097] Furthermore, the edge computing module 220 performs edge computing processing on the demand calculation basis in real time to generate the required cooling or heating capacity of the air handling unit 1, and transmits the required cooling or heating capacity to the control execution module 230 in real time.

[0098] Then, the control execution module 230 correspondingly adjusts the opening degree of the return water valve actuator 321, the opening size, opening direction of the electric spherical nozzle 410, and the rotation speed of the supply air fan 420 to respectively adjust the supply air temperature, flow rate, and direction of the air handling unit 1, so as to quickly respond and adjust the operating state of the air handling unit 1 as required.

[0099] For the distributed air handling unit and control method based on edge computing provided by the present invention, the data acquisition component 100 and the edge computing control cabinet 200 cooperate to comprehensively collect all internal and external factors affecting the operation of the air handling unit 1, and through the method of edge computing, the operating state of the air handling unit 1 is accurately adjusted in real time as required, so as to reduce the operating energy consumption while ensuring the comfort of the external environment.

[0100] The foregoing has shown and described the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and what is described in the above embodiments and the specification is only to illustrate the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements fall within the scope of the present invention claimed. The scope of the present invention claimed is defined by the appended claims and their equivalents.

Claims

1. A distributed air handling unit based on edge computing, wherein the air handling unit is connected to an air conditioning host through a water channel component and is provided with an air supply component and a return air component, characterized in that: The air handling unit is also equipped with a data acquisition component and an edge computing control cabinet. The data acquisition component is configured to collect the internal operation data and external environment data of the air handling unit in real time. The edge computing control cabinet is connected to the data acquisition component and is configured to receive the internal operating data and external environmental data, and calculate the cooling or heating amount required by the air handling unit in real time in combination with the historical operating data and unit configuration information of the air handling unit, so as to control the operating status of the air handling unit in real time.

2. The distributed air handling unit based on edge computing according to claim 1, characterized in that: The data acquisition component includes a sensor monitoring system for collecting the internal operation data, and the sensor monitoring system includes a supply and return air temperature and humidity sensor module, a supply and return water temperature and flow sensor module, and a supply air pressure difference and wind speed sensor module.

3. The distributed air handling unit based on edge computing according to claim 2, characterized in that: The data collection component also includes a building information system for collecting the external environment data, and the building information system includes a heat collection module for the enclosure structure, a light and equipment heat collection module, a fresh air load collection module from the outdoors, a personnel heat dissipation load collection module and a subjective environment feedback module.

4. The distributed air handling unit based on edge computing according to claim 3 is characterized in that: The data collection component also includes a detection camera, which is configured to collect information about dense crowds.

5. The distributed air handling unit based on edge computing according to claim 1, characterized in that: The edge computing control cabinet includes a data processing module, an edge computing module and a control execution module. The data processing module is configured to receive and integrate the internal operation data, external environment data, historical operation data and unit configuration information in real time, and provide the edge computing module with a basis for calculating the demand of the air handling unit.

6. The distributed air handling unit based on edge computing according to claim 5, characterized in that: The edge computing module is configured to process the demand calculation basis in real time to generate the required cooling or heating amount of the air handling unit and transmit it to the control execution module in real time.

7. The distributed air handling unit based on edge computing according to claim 6, characterized in that: The control execution module is respectively connected to and adjusts the operating parameters of the water circuit component and the air supply component.

8. The distributed air handling unit based on edge computing according to claim 1 or 7, characterized in that: The water circuit assembly comprises a water supply pipeline and a return pipeline, a return valve actuator is arranged on the return pipeline, and the air supply assembly comprises an electric spherical nozzle and an air supply fan.

9. The distributed air handling unit based on edge computing according to claim 1, characterized in that: The return air assembly is composed of a return air grille.

10. A control method for a distributed air handling unit based on edge computing, characterized in that: Based on the distributed air handling unit based on edge computing according to any one of claims 1 to 9, the control method includes: The sensor monitoring system, building information system and detection camera of the data acquisition component respectively collect the internal operation data and external environment data of the air handling unit in real time, and transmit them to the edge computing control cabinet in real time. The data processing module of the edge computing control cabinet receives the internal operation data and external environment data, and integrates the historical operation data and unit configuration information of the air handling unit to provide the edge computing module with a basis for calculating the demand of the air handling unit. The edge computing module processes the demand calculation basis in real time to generate the required cooling or heating amount of the air handling unit, and transmits it to the control execution module in real time, so that the control execution module adjusts the operating parameters of the water circuit component and the air supply component accordingly.

Images