Pharmaceutical enterprise clean air conditioning equipment management system and method

Abstract

The present invention relates to the field of energy-saving equipment, and discloses a clean air-conditioning equipment management system and method for pharmaceutical enterprises, which is used to solve the problem that when the air quality at various locations changes, the previous grade classification is no longer representative. The method includes: dividing the production environment into sub-environments on an even basis, integrating relevant sensors into an integrated sensor, collecting relevant parameters of each sub-environment through the integrated sensor, calculating a purification demand index for each sub-area based on the relevant parameters of the sub-environment, performing purification to a corresponding degree based on the purification demand index of each sub-area, setting an initial detection time interval, obtaining a new purification demand index after the detection time, calculating a new detection time interval based on the purification demand index, and continuously updating the detection time interval. Air-conditioning purification management is performed based on the detection time interval, thereby effectively improving the cleaning efficiency of the clean air-conditioning, avoiding unnecessary energy waste, and improving the quality of produced medicines.

Description

Technical Field

[0001] The present invention relates to the field of energy-saving equipment, and more specifically to a management system and method for clean air-conditioning equipment in pharmaceutical enterprises. Background Art

[0002] Cleanroom air conditioning equipment management involves the systematic planning, installation, maintenance, and monitoring of air conditioning equipment in demanding environments, such as pharmaceutical production, to ensure that environmental parameters such as air quality, temperature, humidity, and airflow meet cleanroom standards. This includes monitoring air data, adjusting the air conditioning system, performing regular maintenance, and troubleshooting to maintain a stable and clean production environment, meet regulatory requirements, and guarantee product quality.

[0003] The existing clean air conditioning equipment management method is to divide areas into different clean levels according to production needs, and carry out different degrees of cleaning intensity according to different levels of areas. However, in the pharmaceutical production environment, the air at each location cannot be guaranteed to be in a static state. Using this management method will cause the previous level division to no longer be representative when the air quality at each location changes, resulting in the inability to effectively maintain the stability and cleanliness of the production environment, and will cause unnecessary energy waste.

[0004] In view of the above problems, the present invention proposes a solution. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, the present invention provides a clean air-conditioning equipment management system and method for pharmaceutical enterprises to solve the problems existing in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The management method of clean air conditioning equipment in pharmaceutical enterprises includes the following steps:

[0008] Step 1: Divide the production environment into sub-environments evenly, integrate relevant sensors into comprehensive sensors, and set up comprehensive sensors in each sub-environment. The relevant sensors include a particle sensor, a temperature sensor, a humidity sensor, and a laser Doppler anemometer.

[0009] Step 2: Collect relevant parameters of each sub-environment through integrated sensors, including particle concentration, temperature data, humidity data, and air flow rate data;

[0010] Step 3: Calculate the purification demand index of each sub-area based on the relevant parameters of the sub-environment. The purification demand index indicates the degree of additional purification capacity required to maintain or improve air quality.

[0011] Step 4: Carry out purification to a corresponding degree according to the purification demand index of each sub-area;

[0012] Step 5: Set an initial detection time interval, obtain a new purification demand index after the detection time, calculate a new detection time interval based on the two purification demand indices before and after the time interval, continuously update the detection time interval, and perform air conditioning purification management based on the detection time interval;

[0013] The steps of collecting relevant parameters of each sub-environment through comprehensive sensors are as follows:

[0014] Use integrated sensors to collect air particulate matter concentrations in each sub-environment;

[0015] Using a comprehensive sensor to collect air standard data for each sub-environment, the air standard data includes air temperature data and air humidity data;

[0016] Use integrated sensors to obtain the Doppler shift of each sub-environment;

[0017] The steps of calculating the purification demand index of each sub-area based on the relevant parameters of the sub-environment are as follows:

[0018] Obtain the particle concentration at the air inlet of the nearest air conditioning filter in each sub-environment, and calculate the filtration coefficient based on the particle concentration at the air inlet and the air particle concentration in the sub-environment. The calculation formula is: , where FT represents the filter coefficient, C in Expressed as the particle concentration at the air inlet, C out Expressed as the concentration of air particles in the sub-environment;

[0019] The air suitability coefficient is calculated based on the air standard data;

[0020] The airflow distribution uniformity coefficient is calculated based on the Doppler frequency shift;

[0021] The purification demand index is calculated based on the filtration coefficient, air suitability coefficient and air flow distribution uniformity coefficient. The calculation formula is: , where PD is the purification demand index, FT is the filtration coefficient, AS is the air suitability coefficient, and UD is the air flow distribution uniformity coefficient. 、 、 Expressed as the weight coefficient of filtration coefficient, air suitability coefficient and air flow distribution uniformity coefficient;

[0022] The steps of calculating the air suitability coefficient according to the air standard data are as follows:

[0023] Obtain the optimal temperature data of the pharmaceutical production environment and calculate the temperature difference based on the temperature data of the sub-environment. The calculation formula is: , where Td represents the temperature difference, Te represents the temperature data of the sub-environment, and Te' represents the optimal temperature data;

[0024] Obtain the optimal humidity data of the pharmaceutical production environment, and calculate the humidity difference based on the humidity data of the sub-environment. The calculation formula is: , where Hd represents the humidity difference, He represents the humidity data of the sub-environment, and He' represents the optimal humidity data;

[0025] The air suitability coefficient is calculated based on the temperature difference and humidity difference, and its calculation formula is: , where AS represents the air suitability coefficient, Td represents the temperature difference, and Hd represents the humidity difference;

[0026] The steps of calculating the airflow distribution uniformity coefficient according to the Doppler frequency shift are as follows:

[0027] The sub-environment is divided into n parts, recorded as sub-flow environment, and the air flow velocity of each sub-flow environment is calculated according to the Doppler frequency shift. The calculation formula is: , where V represents the air flow velocity, c is the speed of light data, Expressed as the Doppler shift, Expressed as the original laser frequency;

[0028] The average air flow velocity of the sub-environment is calculated based on the air flow velocity of the sub-flow velocity environment. The calculation formula is: ,in Expressed as the average air flow velocity, n is the number of sub-flow rate environments, V i Expressed as the air flow velocity at the i-th sub-flow rate environment;

[0029] The air flow velocity of the sub-flow environment and the average air flow velocity are used to calculate the standard deviation of the air flow velocity. The calculation formula is: ,in Expressed as the standard deviation of air flow velocity, V i Expressed as the air flow velocity at the i-th sub-flow rate environment, It is expressed as the average air flow velocity, and n is the number of sub-flow rate environments;

[0030] The air flow distribution uniformity coefficient is calculated based on the average air flow velocity and the standard deviation of the air flow velocity. The calculation formula is: , where UD represents the airflow distribution uniformity coefficient, Expressed as the average air flow velocity, Expressed as the standard deviation of air flow velocity.

[0031] Preferably, the purification step according to the purification demand index of each sub-region is as follows:

[0032] Compare the purification demand index with a preset threshold, divide the sub-environment into three levels. If PD < P1, it is determined that the purification demand of the sub-environment is low, and the sub-environment is classified as a low purification level; if P1 < PD < P2, the sub-environment is classified as a medium purification level; if PD > P2, it is determined that the purification demand of the sub-environment is high, and the sub-environment is classified as a high purification level, and corresponding purification is carried out according to the purification level divided for each sub-environment.

[0033] Preferably, the step of calculating a new detection time interval based on the purification demand indexes before and after a time interval is as follows:

[0034] Calculate the ratio of the purification demand index after the time interval to the purification demand index before the time interval to obtain a time change coefficient, and its calculation formula is , where C represents the time change coefficient, PD’ represents the purification demand index after the time interval, and PD represents the purification demand index before the time interval;

[0035] Multiply the time change coefficient by the initial detection time interval to obtain a new detection time interval, and its calculation formula is , where T’ represents the new detection time interval, C represents the time change coefficient, and T 初 represents the initial detection time interval.

[0036] Preferably, a pharmaceutical enterprise clean air-conditioning equipment management system, the system includes: [[ID=三]]

[0037] A sensor setting module, used to integrate relevant sensors into a comprehensive sensor and set the comprehensive sensor;

[0038] A data acquisition module, using the comprehensive sensor set by the sensor setting module to collect relevant data of each sub-environment and transmit the relevant data to the data evaluation module;

[0039] A data evaluation module, used to receive the relevant data transmitted by the data acquisition module, calculate and evaluate to obtain a purification demand index, and transmit the purification demand index to the air-conditioning equipment management module;

[0040] An air-conditioning equipment management module, used to receive the purification demand index transmitted by the data evaluation module and manage the air-conditioning equipment according to the purification demand index;

[0041] A data update module, used to adjust the data update time according to the purification demand index.

[0042] The technical effects and advantages of the present invention:

[0043] The production environment is evenly divided into sub-environments, and the relevant sensors are integrated into comprehensive sensors. The relevant parameters of each sub-environment are collected through the comprehensive sensors. The purification demand index of each sub-area is calculated based on the relevant parameters of the sub-environment. The corresponding degree of purification is carried out according to the purification demand index of each sub-area. An initial detection time interval is set, and a new purification demand index is obtained after the detection time. A new detection time interval is calculated based on the purification demand index, and the detection time interval is continuously updated. The air-conditioning purification management is carried out according to the detection time interval, which effectively improves the cleaning efficiency of the clean air-conditioning, avoids unnecessary energy waste, and improves the quality of the produced medicines. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is the overall flow chart of the present invention. DETAILED DESCRIPTION

[0045] The technical solutions of the present invention will be described clearly and completely below in conjunction with the drawings in the present invention. In addition, the forms of the various structures described in the following embodiments are merely examples. The pharmaceutical enterprise clean air-conditioning equipment management system and method involved in the present invention are not limited to the various structures described in the following embodiments. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0046] The present invention provides a method for managing clean air-conditioning equipment in a pharmaceutical enterprise, comprising the following steps:

[0047] Step 1: Divide the production environment into several sub-environments, integrate relevant sensors into a comprehensive sensor, and set up a comprehensive sensor in each sub-environment. The relevant sensors include a particle sensor, a temperature sensor, a humidity sensor, and a laser Doppler anemometer;

[0048] A temperature sensor is a device used to measure and monitor the temperature of an environment or object, converting temperature changes into an electrical signal or other readable value. These sensors are widely used in various fields such as climate control, industrial process monitoring, and electronic equipment protection.

[0049] A humidity sensor is a device used to measure relative or absolute humidity in the air, converting humidity changes into an electrical signal or other readable value. These sensors assess humidity levels by detecting the water vapor content in the air and are widely used in climate control, environmental monitoring, industrial process management, and other fields.

[0050] A particle sensor is a device used to measure the concentration of particulate matter in the air. It can detect and monitor solid and liquid particles in the air, such as dust, smoke, and pollutants, in real time. These sensors typically use technologies such as light scattering, laser scattering, or charge induction to detect the presence and concentration of particulate matter.

[0051] The laser Doppler anemometer is a highly accurate airflow velocity measurement device that uses a laser beam and the Doppler effect to measure airflow velocity. It operates by emitting a laser beam into a flowing gas. When the laser beam encounters flowing particles, its frequency changes. A detector measures this frequency change to calculate the airflow velocity. Laser Doppler anemometers can provide highly accurate instantaneous flow velocity data and are widely used in fluid dynamics research and industrial process monitoring.

[0052] In this embodiment, it should be specifically explained that the steps of setting a sensor in each sub-environment are:

[0053] Install integrated sensors in the central location of each sub-environment, avoiding installation in dead corners of airflow, direct sunlight, or high-temperature areas;

[0054] Use a bracket or other fixing device to firmly install the integrated sensor and ensure that the probe or optical element of the integrated sensor is aligned with the airflow direction;

[0055] Perform an initial calibration according to the manufacturer's instructions to ensure the sensor is reading accurately, calibrate using a known standard or reference device, confirm the calibration results, and make any necessary adjustments to ensure accuracy.

[0056] Step 2: Collect relevant parameters of each sub-environment through integrated sensors, including particle concentration, temperature data, humidity data, and air flow rate data;

[0057] In this embodiment, it should be specifically explained that the steps of collecting relevant parameters of each sub-environment through the integrated sensor are:

[0058] Use integrated sensors to collect air particulate matter concentrations in each sub-environment;

[0059] Using a comprehensive sensor to collect air standard data for each sub-environment, the air standard data includes air temperature data and air humidity data;

[0060] Integrated sensors are used to detect the Doppler shift in each sub-environment. Doppler shift refers to the phenomenon in which the frequency of a wave changes due to the relative motion between the observer and the wave source. Specifically, when the wave source moves toward the observer, the frequency of the received wave increases (the wavelength shortens), while when the wave source moves away from the observer, the frequency decreases (the wavelength lengthens). This principle is used in laser Doppler anemometers to measure airflow velocity, calculating the airflow speed by analyzing the frequency shift of a laser beam on flowing particles.

[0061] Step 3: Calculate the purification demand index of each sub-area based on the relevant parameters of the sub-environment;

[0062] In this embodiment, it should be specifically explained that the step of calculating the purification demand index of each sub-area based on the relevant parameters of the sub-environment is:

[0063] Obtain the particle concentration at the air inlet of the nearest air conditioning filter in each sub-environment, and calculate the filtration coefficient based on the particle concentration at the air inlet and the air particle concentration in the sub-environment. The calculation formula is: , where FT represents the filter coefficient, C in Expressed as the particle concentration at the air inlet, it represents the concentration of particles in the air entering the sub-environment, C out It is expressed as the concentration of air particles in the sub-environment, which means the concentration of particles in the air after passing through the filter;

[0064] The air suitability coefficient is calculated based on the air standard data;

[0065] The airflow distribution uniformity coefficient is calculated based on the Doppler frequency shift. The uniform airflow distribution can ensure the comprehensive purification effect.

[0066] The purification demand index is calculated based on the filtration coefficient, air suitability coefficient and air flow distribution uniformity coefficient. The calculation formula is: Where PD stands for the purification demand index and FT stands for the filtration coefficient. A higher filtration coefficient indicates that the filter is more effective at removing particulate matter from the air, reducing the concentration of airborne pollutants. This directly reduces the need for additional purification equipment or systems to achieve the set air quality target. Therefore, as the filtration coefficient increases, the overall purification demand of the system decreases, allowing the ambient air quality to reach or maintain the desired standard more quickly. AS stands for the air suitability coefficient. The air suitability coefficient generally reflects the degree of excellence of the current air quality, with a higher value indicating that the air quality is approaching or meeting the set standard. The purification demand index indicates the degree of additional purification capacity or equipment required to maintain or improve air quality. Since a high air suitability coefficient indicates that the environment already meets or is close to meeting the air quality standard, the need for further purification equipment or measures is correspondingly reduced. This relationship indicates that improving air quality can significantly reduce reliance on additional purification measures, thereby achieving more efficient environmental management and conserving resources. UD stands for the airflow uniformity coefficient. A high uniformity coefficient indicates that the air is evenly distributed throughout the space, allowing purification equipment to more evenly treat airborne pollutants, thereby enabling the entire environment to reach the set standard more quickly. Therefore, the purification demand index will be reduced in this case because the uniform airflow distribution reduces the accumulation of pollutants and the excessive concentration of local pollutants, thereby reducing the need for additional purification measures. In other words, when the airflow distribution is more uniform, the purification equipment will be more effective and the additional purification demand required to meet the air quality requirements will be reduced accordingly, which shows that optimizing the airflow distribution can effectively improve the overall purification efficiency and reduce resource consumption. 、 、 It is expressed as the weight coefficient of the filtration coefficient, the air suitability coefficient and the air flow distribution uniformity coefficient, and this embodiment does not 、 、 Specific values ​​are calculated specifically.

[0067] In this embodiment, it should be specifically explained that the steps of calculating the air suitability coefficient based on the air standard data are as follows:

[0068] Obtain the optimal temperature data of the pharmaceutical production environment and calculate the temperature difference based on the temperature data of the sub-environment. The calculation formula is: , where Td represents the temperature difference, Te represents the temperature data of the sub-environment, and Te' represents the optimal temperature data;

[0069] Obtain the optimal humidity data of the pharmaceutical production environment, and calculate the humidity difference based on the humidity data of the sub-environment. The calculation formula is: , where Hd represents the humidity difference, He represents the humidity data of the sub-environment, and He' represents the optimal humidity data;

[0070] The air suitability coefficient is calculated based on the temperature difference and humidity difference, and its calculation formula is: , where AS represents the air suitability coefficient, Td represents the temperature difference, and Hd represents the humidity difference.

[0071] In this embodiment, it should be specifically explained that the steps of calculating the airflow distribution uniformity coefficient according to the Doppler frequency shift are:

[0072] The sub-environment is divided into n parts, recorded as sub-flow environment, and the air flow velocity of each sub-flow environment is calculated according to the Doppler frequency shift. The calculation formula is: , where V represents the air flow velocity, c is the speed of light data, Expressed as the Doppler shift, Expressed as the original laser frequency;

[0073] The average air flow velocity of the sub-environment is calculated based on the air flow velocity of the sub-flow velocity environment. The calculation formula is: ,in Expressed as the average air flow velocity, n is the number of sub-flow rate environments, V i Expressed as the air flow velocity at the i-th sub-flow rate environment;

[0074] The air flow velocity of the sub-flow environment and the average air flow velocity are used to calculate the standard deviation of the air flow velocity. The calculation formula is: ,in Expressed as the standard deviation of air flow velocity, V i Expressed as the air flow velocity at the i-th sub-flow rate environment, It is expressed as the average air flow velocity, and n is the number of sub-flow rate environments;

[0075] The air flow distribution uniformity coefficient is calculated based on the average air flow velocity and the standard deviation of the air flow velocity. The calculation formula is: , where UD represents the airflow distribution uniformity coefficient, Expressed as the average air flow velocity, Expressed as the standard deviation of air flow velocity.

[0076] The Doppler shift technology uses lasers or microwaves to measure tiny particles in the airflow, capable of providing high-precision airflow velocity data. Such precise measurement can more accurately evaluate the airflow distribution in different regions; this technology supports real-time measurement and data analysis, enabling immediate access to the latest information on airflow distribution. This is particularly important for environments that require quick response and adjustment, such as clean rooms or industrial process control; Doppler shift measurement is non-contact, which reduces interference with the measured airflow and is suitable for airflow monitoring under high flow rates or harsh environmental conditions; by performing Doppler shift measurements at different locations, comprehensive airflow velocity data can be obtained, and then the airflow distribution uniformity coefficient can be calculated. This helps identify areas with uneven airflow and optimize air movement to improve air quality and system performance.

[0077] In some strictly required environments, such as pharmaceutical factories or electronic manufacturing workshops, the uniform distribution of airflow is crucial for maintaining a clean environment and preventing contamination. By calculating the airflow distribution uniformity coefficient, it can be ensured that the air movement complies with safety and comfort standards; providing accurate airflow distribution data can help decision-makers make reasonable adjustments, improve the design and operation strategies of air handling systems, and enhance work efficiency and environmental quality.

[0078] Step 4: Perform purification to the corresponding degree according to the purification requirement index of each sub-region;

[0079] In this embodiment, it should be specifically noted that the step of performing purification to the corresponding degree according to the purification requirement index of each sub-region is as follows:

[0080] Compare the purification requirement index with a preset threshold, divide the sub-environment into three levels. If PD < P1, it is determined that the purification requirement degree of the sub-environment is low, and the sub-environment is classified as a low purification level; if P1 < PD < P2, the sub-environment is classified as a medium purification level; if PD > P2, it is determined that the purification requirement of the sub-environment is high, and the sub-environment is classified as a high purification level, and perform purification to the corresponding degree according to the purification level divided for each sub-environment.

[0081] Step 5: Set an initial detection time interval, obtain a new purification requirement index after the detection time, calculate a new detection time interval based on the two purification requirement indexes before and after the time interval, continuously update the detection time interval, and perform air-conditioning purification management according to the detection time interval.

[0082] By dynamically adjusting the detection interval based on the purification demand index, unnecessary frequent testing can be avoided, saving energy and maintenance costs while ensuring that sufficient monitoring data is available when needed. This helps to efficiently utilize resources and reduce operating costs. Increasing the monitoring frequency during periods of high purification demand (such as when pollutant concentrations are high) can obtain the latest air quality data in a timely manner, helping to quickly respond and adjust the purification system. Conversely, reducing the detection frequency during periods of low demand helps improve overall detection efficiency. Dynamic adjustment of the detection interval allows the system to flexibly adapt to different environmental conditions and pollution levels, thereby achieving more refined air quality management. This flexibility helps to respond to sudden pollution incidents or environmental changes and maintain stable air quality.

[0083] In this embodiment, it should be specifically explained that the steps of calculating the new detection time interval based on the two purification demand indices before and after the time interval are as follows:

[0084] The time variation coefficient is calculated by comparing the purification demand index after the time interval with the purification demand index before the time interval. The calculation formula is: , where C represents the time variation coefficient, PD' represents the purification demand index after the time interval, and PD represents the purification demand index before the time interval;

[0085] The new detection time interval is calculated by multiplying the time variation coefficient by the initial detection time interval. The calculation formula is: , where T' represents the new detection time interval, C represents the time variation coefficient, T 初 Indicates the initial detection time interval.

[0086] In this embodiment, it is necessary to specifically explain that the pharmaceutical enterprise clean air conditioning equipment management system includes:

[0087] The sensor setting module is used to aggregate related sensors into a comprehensive sensor and set the comprehensive sensor;

[0088] The data acquisition module uses the integrated sensors set by the sensor setting module to collect relevant data of each sub-environment and transmits the relevant data to the data evaluation module;

[0089] The data evaluation module is used to receive the relevant data transmitted by the data acquisition module, calculate and evaluate the purification demand index based on the relevant data, and transmit the purification demand index to the air conditioning equipment management module;

[0090] An air conditioning equipment management module is used to receive the purification demand index transmitted by the data evaluation module and manage the air conditioning equipment according to the purification demand index;

[0091] The data update module is used to adjust the data update time according to the purification demand index.

[0092] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

[0093] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. The management method of clean air conditioning equipment in pharmaceutical enterprises is characterized by: It includes the following steps: Step 1: Evenly divide the production environment into sub - environments, integrate relevant sensors into a comprehensive sensor, and set the comprehensive sensor in each sub - environment. The relevant sensors include a particulate matter sensor, a temperature sensor, a humidity sensor, and a laser Doppler velocimeter; Step 2: Collect relevant parameters of each sub - environment through the comprehensive sensor. The relevant parameters include particulate matter concentration, temperature data, humidity data, and air flow velocity data; Step 3: Calculate the purification demand index of each sub - region based on the relevant parameters of the sub - environment. The purification demand index represents the degree of additional purification capacity required to maintain or improve air quality; Step 4: Perform purification to the corresponding degree according to the purification demand index of each sub - region; Step 5: Set an initial detection time interval, obtain a new purification demand index after the detection time, calculate a new detection time interval based on the two purification demand indexes before and after the time interval, continuously update the detection time interval, and perform air - conditioning purification management according to the detection time interval; The step of collecting relevant parameters of each sub - environment through the comprehensive sensor is as follows: Use the comprehensive sensor to collect the air particulate matter concentration of each sub - environment; Use the comprehensive sensor to collect the air standard data of each sub - environment. The air standard data includes air temperature data and air humidity data; Use the comprehensive sensor to obtain the Doppler shift of each sub - environment; The step of calculating the purification demand index of each sub - region based on the relevant parameters of the sub - environment is as follows: Obtain the particle concentration at the air inlet of the nearest air conditioning filter in each sub-environment, and calculate the filtration coefficient based on the particle concentration at the air inlet and the air particle concentration in the sub-environment. The calculation formula is: , where FT represents the filter coefficient, C in Expressed as the particle concentration at the air inlet, C out Expressed as the concentration of air particles in the sub-environment; Calculate the air suitability coefficient based on the air standard data; Calculate the air - flow distribution uniformity coefficient based on the Doppler shift; The purification demand index is calculated based on the filtration coefficient, air suitability coefficient and air flow distribution uniformity coefficient. The calculation formula is: , where PD is the purification demand index, FT is the filtration coefficient, AS is the air suitability coefficient, and UD is the air flow distribution uniformity coefficient. 、 、 Expressed as the weight coefficient of filtration coefficient, air suitability coefficient and air flow distribution uniformity coefficient; Obtain the optimal temperature data of the pharmaceutical production environment and calculate the temperature difference based on the temperature data of the sub-environment. The calculation formula is: , where Td represents the temperature difference, Te represents the temperature data of the sub-environment, and Te' represents the optimal temperature data; Obtain the optimal humidity data of the pharmaceutical production environment, and calculate the humidity difference based on the humidity data of the sub-environment. The calculation formula is: , where Hd represents the humidity difference, He represents the humidity data of the sub-environment, and He' represents the optimal humidity data; The air suitability coefficient is calculated based on the temperature difference and humidity difference, and its calculation formula is: , where AS represents the air suitability coefficient, Td represents the temperature difference, and Hd represents the humidity difference; The step of calculating the air suitability coefficient based on the air standard data is as follows: The sub-environment is divided into n parts, recorded as sub-flow environment, and the air flow velocity of each sub-flow environment is calculated according to the Doppler frequency shift. The calculation formula is: , where V represents the air flow velocity, c is the speed of light data, Expressed as the Doppler shift, Expressed as the original laser frequency; The average air flow velocity of the sub-environment is calculated based on the air flow velocity of the sub-flow velocity environment. The calculation formula is: ,in Expressed as the average air flow velocity, n is the number of sub-flow rate environments, V i Expressed as the air flow velocity at the i-th sub-flow rate environment; The air flow velocity of the sub-flow environment and the average air flow velocity are used to calculate the standard deviation of the air flow velocity. The calculation formula is: ,in Expressed as the standard deviation of air flow velocity, V i Expressed as the air flow velocity at the i-th sub-flow rate environment, It is expressed as the average air flow velocity, and n is the number of sub-flow rate environments; The air flow distribution uniformity coefficient is calculated based on the average air flow velocity and the standard deviation of the air flow velocity. The calculation formula is: , where UD represents the airflow distribution uniformity coefficient, Expressed as the average air flow velocity, Expressed as the standard deviation of air flow velocity.

2. The pharmaceutical enterprise clean air conditioning equipment management method according to claim 1, characterized in that: The step of calculating the air - flow distribution uniformity coefficient based on the Doppler shift is as follows: The step of performing purification to the corresponding degree according to the purification demand index of each sub - region is as follows:

3. The pharmaceutical enterprise clean air conditioning equipment management method according to claim 1, characterized in that: Compare the purification demand index with a preset threshold, divide the sub - environment into three levels. If PD < P1, it is determined that the purification demand of the sub - environment is low, and the sub - environment is classified as a low - purification level; if P1 < PD < P2, the sub - environment is classified as a medium - purification level; if PD > P2, it is determined that the purification demand of the sub - environment is high, and the sub - environment is classified as a high - purification level, and perform purification to the corresponding degree according to the purification level divided for each sub - environment. The time variation coefficient is calculated by comparing the purification demand index after the time interval with the purification demand index before the time interval. The calculation formula is: , where C represents the time variation coefficient, PD' represents the purification demand index after the time interval, and PD represents the purification demand index before the time interval; The new detection time interval is calculated by multiplying the time variation coefficient by the initial detection time interval. The calculation formula is: , where T' represents the new detection time interval, C represents the time variation coefficient, T 初 Indicates the initial detection time interval.

4. A pharmaceutical enterprise clean air conditioning equipment management system, used to implement the pharmaceutical enterprise clean air conditioning equipment management method according to any one of claims 1 to 3, characterized in that: The step of calculating a new detection time interval based on the two purification demand indexes before and after the time interval is as follows: The device includes: A sensor setting module, used to integrate relevant sensors into a comprehensive sensor and set the comprehensive sensor; A data collection module, which uses the comprehensive sensor set by the sensor setting module to collect relevant data of each sub - environment and transmits the relevant data to the data evaluation module; A data evaluation module, used to receive the relevant data transmitted by the data collection module, calculate and evaluate the purification demand index based on the relevant data, and transmit the purification demand index to the air - conditioning equipment management module; An air - conditioning equipment management module, used to receive the purification demand index transmitted by the data evaluation module and perform air - conditioning equipment management according to the purification demand index; The data update module is used to adjust the data update time according to the purification demand index.

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