An energy-saving optimization control system and method for air conditioning system in biosafety laboratory

Abstract

The present invention discloses an energy-saving optimization control system and method for an air conditioning system in a biosafety laboratory. The system includes a temperature and humidity sensor for monitoring the temperature and humidity values ​​in the area, a humidity adjustment unit, the humidity adjustment unit includes a dehumidifier and a humidifier, the dehumidifier is used to reduce the indoor humidity, and the humidifier is used to increase the indoor humidity, a custom module for defining the rotation speed of the fan in different time periods, a big data analysis module for obtaining the outdoor meteorological data of the second day, and performing pre-cooling adjustment analysis and processing according to the meteorological data of the second day, an air quality sensor for real-time acquisition of air quality parameters, a fan for ventilation processing in the laboratory, a maintenance module for regularly generating filter maintenance instructions, and a back-blowing module. The present invention has a pre-cooling adjustment function. At the beginning of the experiment on the second day, the refrigeration equipment does not need to run at full load immediately, thereby saving energy, and has two sets of switching logics during refrigeration, which is more environmentally friendly.

Description

Technical Field

[0001] The present invention relates to the field of energy-saving optimization control of air-conditioning systems in biological laboratories, and in particular to an energy-saving optimization control system and method for air-conditioning systems in biological safety laboratories. Background Art

[0002] Due to its special functional requirements, biological laboratories usually need to strictly control the indoor environmental parameters such as temperature, humidity, cleanliness and air pressure. This requires the air conditioning system of biological laboratories to run for a long time and often under high load. In order to maintain such an environment, the air conditioning system must continue to work to adjust the temperature and humidity of the air. With the continuous rise in global energy prices, the operating costs of biological laboratories are also increasing. For large biological research institutions or pharmaceutical companies' laboratories, the energy consumption cost of the air conditioning system accounts for a considerable proportion of the total operating costs;

[0003] The current energy-saving optimization control system does not have a pre-cooling adjustment function, and cannot pre-start the air conditioning operation according to the temperature conditions of the next day. In addition, the switching temperature point of the air conditioning high-frequency and low-frequency operation modes always remains unchanged, which causes the air conditioning to frequently switch operation modes and increase energy consumption. Summary of the invention

[0004] The object of the present invention is to provide an energy-saving optimization control system and method for an air conditioning system in a biosafety laboratory to solve the problems mentioned in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: an energy-saving optimization control system for an air conditioning system in a biosafety laboratory, comprising:

[0006] Temperature and humidity sensors are used to monitor the temperature and humidity values ​​in the area;

[0007] A humidity regulating unit, used for regulating indoor humidity;

[0008] Custom module, used to define the fan speed in different time periods;

[0009] The big data analysis module is used to obtain the outdoor weather data of the next day and perform pre-cooling adjustment analysis and processing based on the weather data of the next day;

[0010] Air quality sensor, used to obtain air quality parameters in real time;

[0011] Fan, used for ventilation in the laboratory;

[0012] A maintenance module for periodically generating filter maintenance instructions;

[0013] Backflush module, used to perform backflush cleaning on the filter at regular intervals;

[0014] Intelligent control module, used to obtain data fed back by temperature and humidity sensors, custom modules, big data analysis modules, maintenance modules, air quality sensors, and maintenance modules, and adjust the operating status of air conditioners, fans, filters, and back-blowing modules according to the fed-back data;

[0015] The remote monitoring unit is used to obtain the data fed back by the intelligent control module and transmit the data to the remote terminal.

[0016] Furthermore, the laboratory is divided into a clean area and a contaminated area, and each of the clean area and the contaminated area is equipped with corresponding temperature and humidity sensors, custom modules, big data analysis modules, maintenance modules, air quality sensors, maintenance modules, backflush modules, and intelligent control modules.

[0017] Furthermore, the humidity regulating unit includes a dehumidifier and a humidifier, the dehumidifier is used to reduce the indoor humidity, and the humidifier is used to increase the indoor humidity.

[0018] Furthermore, the intelligent control module is used for alarm processing of temperature and humidity. The specific alarm processing method is that if the indoor temperature is not within the corresponding preset range for more than three hours, a temperature alarm signal is generated to the remote monitoring unit; if the indoor humidity is not within the corresponding preset range for more than three hours, a humidity alarm signal is generated to the remote monitoring unit.

[0019] Furthermore, the intelligent control module is also used for alarm processing of air quality parameters. The specific alarm processing method is that the air quality parameters include the concentrations of carbon monoxide, nitrogen dioxide, carbon dioxide, ozone and particulate matter. The intelligent control module is provided with corresponding thresholds for the concentrations of carbon monoxide, nitrogen dioxide, carbon dioxide, ozone and particulate matter. When any one of the real-time feedback concentrations of carbon monoxide, nitrogen dioxide, carbon dioxide, ozone and particulate matter exceeds the corresponding threshold for more than three hours, an air quality alarm signal is generated to the remote monitoring unit.

[0020] The present invention also provides an energy-saving optimization control method for an air conditioning system in a biosafety laboratory, the method comprising:

[0021] The temperature and humidity sensors feed back the temperature and humidity values ​​in the area to the intelligent control module, which performs temperature and humidity analysis and processing. If the temperature value is higher than the maximum value of the preset area range, a cooling instruction is generated to adjust the air conditioning cooling operation. When the air conditioning cooling operation is in progress, the temperature value in the area is continuously acquired in real time until the ambient temperature is in the middle value of the preset area, and the air conditioning is switched to the low-frequency mode operation. When the ambient temperature value is higher than the maximum value of the preset area range again, the air conditioning is switched to the high-frequency operation mode again. If the temperature value is lower than the minimum value of the preset area range, a heating instruction is generated to adjust the air conditioning heating operation. When the air conditioning heating operation is in progress, the temperature value in the area is continuously acquired in real time until the ambient temperature is in the middle value of the preset area, and the air conditioning is switched to the low-frequency mode operation. When the ambient temperature value is lower than the minimum value of the preset area range again, the air conditioning is switched to the high-frequency operation mode again.

[0022] The intelligent control module adjusts the fan speed according to the preset content of the custom module. During the working time period, the fan runs at 60% of the speed, and outside the working time period, the fan runs at 20% of the speed;

[0023] The intelligent control module obtains the outdoor meteorological data of the next day through the big data analysis module. The meteorological data is the temperature value. If the outdoor temperature is higher than the set threshold, the pre-cooling adjustment process is performed, and the air conditioner is started one hour before the next working time to reduce the indoor temperature to the middle value of the preset area range. If the outdoor temperature is lower than the set threshold, the air conditioner is started one hour before the next working time to raise the indoor temperature to the middle value of the preset area range.

[0024] The air quality sensor will feed back the air quality parameters to the intelligent control module in real time. When any of the real-time fed-back carbon monoxide, nitrogen dioxide, carbon dioxide, ozone, and particulate matter concentrations exceeds the corresponding threshold, the intelligent control module will adjust the fan to run at full speed and switch the filter at the same time until all parameters are below the corresponding threshold, at which time the fan returns to its initial speed.

[0025] Furthermore, the content of the humidity value analysis and processing is: if the humidity value is higher than the maximum value of the preset area range, a dehumidification instruction is generated, and the dehumidifier is adjusted to operate until the ambient humidity is at the middle value of the corresponding preset area, and the dehumidifier is turned off; when the humidity value is lower than the minimum value of the preset area range, a humidification instruction is generated, and the humidifier is adjusted to operate until the ambient humidity is at the middle value of the corresponding preset area, and the humidifier is turned off.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] 1. The operation of the equipment can be adjusted separately in different areas of the present invention, which makes management more convenient and improves the effect of indoor environment maintenance.

[0028] 2. The present invention maintains air quality by backwashing and cleaning the filter instead of immediately switching to the next filter level, which can extend the service life of the current filter, reduce the number of times the filter is replaced, lower maintenance costs, reduce waste, and be more environmentally friendly.

[0029] 3. The present invention has an alarm function. When the indoor environmental conditions do not meet the standards for a long time, a corresponding alarm signal will be generated to remind relevant staff to repair relevant equipment in time to avoid accidents in the laboratory, making it safer and more reliable in use.

[0030] 4. The present invention has a pre-cooling adjustment function. The air conditioner is started one hour before the working hours of the next day to reduce the indoor temperature to the middle value of the preset area range. At the beginning of the experiment on the second day, the refrigeration equipment does not need to run at full load immediately, thereby saving energy. During cooling, the air conditioner will only run at a low frequency when the indoor temperature drops to the middle value of the preset range. After the low-frequency operation, the operating logic of the air conditioner will be restored to the initial state, that is, the air conditioner will only run at a high frequency when the indoor temperature exceeds the maximum value of the preset area range. Through the above-mentioned operating logic, frequent switching of the air conditioner operating state can be avoided, thereby achieving the purpose of energy saving. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a composition diagram of an energy-saving optimization control system for an air conditioning system used in a biosafety laboratory according to an embodiment of the present invention.

[0032] Figure 2 The present invention is a flowchart of an energy-saving optimization control method for an air conditioning system in a biosafety laboratory according to an embodiment of the present invention. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] See also Figure 1As shown, the present invention provides a technical solution: an energy-saving optimization control system for an air conditioning system in a biosafety laboratory, comprising: a temperature and humidity sensor for monitoring the temperature and humidity values ​​in the area; a humidity adjustment unit, the humidity adjustment unit comprising a dehumidifier and a humidifier, the dehumidifier is used to reduce the indoor humidity, and the humidifier is used to increase the indoor humidity; a custom module is used to define the speed of the fan in different time periods; a big data analysis module is used to obtain the outdoor meteorological data of the next day, and perform pre-cooling adjustment analysis and processing according to the meteorological data of the next day; an air quality sensor is used to obtain air quality parameters in real time; a fan is used for ventilation processing in the laboratory; a maintenance module is used to regularly generate filter maintenance instructions; a backwash module is used to regularly perform backwash cleaning processing on the filter, and the backwash cleaning of the filter is used to maintain the air quality, instead of immediately switching to the next level of filter, which can extend the service life of the current filter, reduce the number of filter replacements, lower maintenance costs, reduce waste, and be more environmentally friendly;

[0035] The intelligent control module is used to obtain data fed back by the temperature and humidity sensors, custom modules, big data analysis modules, maintenance modules, air quality sensors, and maintenance modules, and adjust the operating status of the air conditioner, fan, filter, and back-blowing module according to the fed back data; the remote monitoring unit is used to obtain data fed back by the intelligent control module and transmit the data to the remote terminal, which includes mobile phones and computers, so that the staff can check the relevant data in time.

[0036] The laboratory is divided into a clean area and a contaminated area. Both the clean area and the contaminated area are equipped with corresponding temperature and humidity sensors, custom modules, big data analysis modules, maintenance modules, air quality sensors, maintenance modules, backflush modules, and intelligent control modules. The operation of equipment can be adjusted separately in different areas, which makes management more convenient and improves the effect of indoor environment maintenance.

[0037] The intelligent control module is used for alarm processing of temperature and humidity. The specific alarm processing method is that if the indoor temperature is not within the corresponding preset interval for more than three hours, a temperature alarm signal is generated to the remote monitoring unit. If the indoor humidity is not within the corresponding preset interval for more than three hours, a humidity alarm signal is generated to the remote monitoring unit. The intelligent control module is used for alarm processing of air quality parameters. The specific alarm processing method is that the air quality parameters include the concentrations of carbon monoxide, nitrogen dioxide, carbon dioxide, ozone, and particulate matter. The intelligent control module is provided with corresponding thresholds for the concentrations of carbon monoxide, nitrogen dioxide, carbon dioxide, ozone, and particulate matter. When any one of the real-time feedback concentrations of carbon monoxide, nitrogen dioxide, carbon dioxide, ozone, and particulate matter exceeds the corresponding threshold for more than three hours, an air quality alarm signal is generated to the remote monitoring unit. When the conditions in the environment do not meet the standards for a long time, the corresponding alarm function will be triggered to remind relevant staff to promptly repair relevant equipment to avoid accidents in the laboratory, making it safer and more reliable to use.

[0038] The present invention also provides an energy-saving optimization control method for an air-conditioning system in a biosafety laboratory, the method comprising: a temperature and humidity sensor feeds back the temperature value and humidity value in a region to an intelligent control module, the intelligent control module performs temperature value analysis and humidity value analysis and processing, if the temperature value is higher than the maximum value of a preset region range, a cooling instruction is generated, the air-conditioning refrigeration operation is adjusted, when the air-conditioning refrigeration operation is in progress, the temperature value in the region is continuously acquired in real time, until the ambient temperature is at the middle value of the preset region, the air-conditioning is switched to a low-frequency mode operation, until the ambient temperature value is higher than the maximum value of the preset region range again, the air-conditioning is switched to a high-frequency operation mode again, if the temperature value is lower than the minimum value of the preset region range, a heating instruction is generated, the air-conditioning heating operation is adjusted, when the air-conditioning heating operation is in progress, Continue to obtain the temperature value in the area in real time until the ambient temperature is in the middle value of the preset area, the air conditioner switches to the low-frequency mode until the ambient temperature is lower than the minimum value of the preset area again, the air conditioner switches to the high-frequency operation mode again, the humidity value analysis and processing method is the same as the temperature value analysis and processing method, that is, when the humidity value is higher than the maximum value of the preset area, a dehumidification command is generated, and the dehumidifier is adjusted to run until the ambient humidity is in the middle value of the corresponding preset area, and the dehumidifier is turned off; when the humidity value is lower than the minimum value of the preset area, a humidification command is generated, and the humidifier is adjusted to run until the ambient humidity is in the middle value of the corresponding preset area, and the humidifier is turned off. The indoor temperature and humidity can be automatically adjusted to keep the indoor temperature and humidity ranges at all times.

[0039] The intelligent control module adjusts the fan speed according to the preset content of the custom module. During the working time period, the fan runs at 60% of the speed, and outside the working time period, the fan runs at 20% of the speed. It has the characteristics of time-divided and frequency-divided operation, which can play a role in energy saving;

[0040] The intelligent control module obtains the outdoor meteorological data of the next day through the big data analysis module. The meteorological data is the temperature value. If the outdoor temperature is higher than the set threshold, pre-cooling adjustment processing is performed, and the air conditioner is started one hour before the working time of the next day to reduce the indoor temperature to the middle value of the preset area range. It has the function of pre-cooling adjustment. At the beginning of the experiment on the second day, the refrigeration equipment does not need to run at full load immediately, thereby saving energy. When cooling, the air conditioner will only run at a low frequency when the indoor temperature drops to the middle value of the preset range. After the low-frequency operation, the operation logic of the air conditioner is restored to the initial state, that is, the air conditioner will only run at a high frequency when the indoor temperature exceeds the maximum value of the preset area range. Through the above-mentioned operation logic, the frequent switching of the air conditioner operation state can be avoided, thereby achieving the purpose of energy saving;

[0041] The air quality sensor will feed back the air quality parameters to the intelligent control module in real time. When any of the real-time fed-back carbon monoxide, nitrogen dioxide, carbon dioxide, ozone, and particulate matter concentrations exceeds the corresponding threshold, the intelligent control module will adjust the fan to run at full speed and switch the filter at the same time until all parameters are below the corresponding threshold, at which time the fan returns to its initial speed.

[0042] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An energy-saving optimization control system for an air conditioning system in a biosafety laboratory, characterized in that: include: Temperature and humidity sensors are used to monitor the temperature and humidity values ​​in the area; A humidity regulating unit, used for regulating indoor humidity; Custom module, used to define the fan speed in different time periods; The big data analysis module is used to obtain the outdoor weather data of the next day and perform pre-cooling adjustment analysis and processing based on the weather data of the next day; Air quality sensor, used to obtain air quality parameters in real time; Fan, used for ventilation in the laboratory; A maintenance module for periodically generating filter maintenance instructions; Backflush module, used to perform backflush cleaning on the filter at regular intervals; Intelligent control module, used to obtain data fed back by temperature and humidity sensors, custom modules, big data analysis modules, maintenance modules, air quality sensors, and maintenance modules, and adjust the operating status of air conditioners, fans, filters, and back-blowing modules according to the fed-back data; The remote monitoring unit is used to obtain the data fed back by the intelligent control module and transmit the data to the remote terminal.

2. The energy-saving optimization control system for an air conditioning system in a biosafety laboratory according to claim 1, characterized in that: The laboratory is divided into a clean area and a contaminated area, each of which is equipped with corresponding temperature and humidity sensors, custom modules, big data analysis modules, maintenance modules, air quality sensors, maintenance modules, backflush modules, and intelligent control modules.

3. The energy-saving optimization control system for an air conditioning system in a biosafety laboratory according to claim 1, characterized in that: The humidity regulating unit comprises a dehumidifier and a humidifier, wherein the dehumidifier is used to reduce indoor humidity, and the humidifier is used to increase indoor humidity.

4. The energy-saving optimization control system for an air conditioning system in a biosafety laboratory according to claim 1, characterized in that: The intelligent control module is used for temperature and humidity alarm processing. The specific alarm processing method is that if the indoor temperature is not within the corresponding preset range for more than three hours, a temperature alarm signal is generated to the remote monitoring unit; if the indoor humidity is not within the corresponding preset range for more than three hours, a humidity alarm signal is generated to the remote monitoring unit.

5. The energy-saving optimization control system for an air conditioning system in a biosafety laboratory according to claim 1, characterized in that: The intelligent control module is also used for alarm processing of air quality parameters. The specific alarm processing method is that the air quality parameters include the concentrations of carbon monoxide, nitrogen dioxide, carbon dioxide, ozone, and particulate matter. The intelligent control module is provided with corresponding thresholds for the concentrations of carbon monoxide, nitrogen dioxide, carbon dioxide, ozone, and particulate matter. When any one of the real-time feedback concentrations of carbon monoxide, nitrogen dioxide, carbon dioxide, ozone, and particulate matter exceeds the corresponding threshold for more than three hours, an air quality alarm signal is generated to the remote monitoring unit.

6. An energy-saving optimization control method for an air conditioning system in a biosafety laboratory, applied to a control system as claimed in any one of claims 1 to 5, characterized in that: The method is: The temperature and humidity sensors feed back the temperature and humidity values ​​in the area to the intelligent control module, which performs temperature and humidity analysis and processing. If the temperature value is higher than the maximum value of the preset area range, a cooling instruction is generated to adjust the air conditioning cooling operation. When the air conditioning cooling operation is in progress, the temperature value in the area is continuously acquired in real time until the ambient temperature is in the middle value of the preset area, and the air conditioning is switched to the low-frequency mode operation. When the ambient temperature value is higher than the maximum value of the preset area range again, the air conditioning is switched to the high-frequency operation mode again. If the temperature value is lower than the minimum value of the preset area range, a heating instruction is generated to adjust the air conditioning heating operation. When the air conditioning heating operation is in progress, the temperature value in the area is continuously acquired in real time until the ambient temperature is in the middle value of the preset area, and the air conditioning is switched to the low-frequency mode operation. When the ambient temperature value is lower than the minimum value of the preset area range again, the air conditioning is switched to the high-frequency operation mode again. The intelligent control module adjusts the fan speed according to the preset content of the custom module. During the working time period, the fan runs at 60% of the speed, and outside the working time period, the fan runs at 20% of the speed; The intelligent control module obtains the outdoor meteorological data of the next day through the big data analysis module. The meteorological data is the temperature value. If the outdoor temperature is higher than the set threshold, the pre-cooling adjustment process is performed, and the air conditioner is started one hour before the next working time to reduce the indoor temperature to the middle value of the preset area range. If the outdoor temperature is lower than the set threshold, the air conditioner is started one hour before the next working time to raise the indoor temperature to the middle value of the preset area range. The air quality sensor will feed back the air quality parameters to the intelligent control module in real time. When any of the real-time fed-back carbon monoxide, nitrogen dioxide, carbon dioxide, ozone, and particulate matter concentrations exceeds the corresponding threshold, the intelligent control module will adjust the fan to run at full speed and switch the filter at the same time until all parameters are below the corresponding threshold, at which time the fan returns to its initial speed.

7. The energy-saving optimization control method for an air conditioning system in a biosafety laboratory according to claim 6, characterized in that: The content of the humidity value analysis and processing is: if the humidity value is higher than the maximum value of the preset area range, a dehumidification instruction is generated, and the dehumidifier is adjusted to operate until the ambient humidity is at the middle value of the corresponding preset area, and the dehumidifier is turned off; when the humidity value is lower than the minimum value of the preset area range, a humidification instruction is generated, and the humidifier is adjusted to operate until the ambient humidity is at the middle value of the corresponding preset area, and the humidifier is turned off.

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