Medicine enterprise clean air conditioning equipment management system and method

Abstract

The invention relates to the field of energy-saving equipment, and discloses a medicine enterprise clean air conditioning equipment management system and method which are used for solving the problem that when the air quality of all positions changes, previous grade division is not representative any more, and the method comprises the steps that a production environment is averagely divided into sub-environments, related sensors are integrated into a comprehensive sensor, and the comprehensive sensor is connected with the production environment; the related parameters of each sub-environment are collected through a comprehensive sensor, the purification demand index of each sub-region is calculated according to the related parameters of the sub-environment, purification of a corresponding degree is carried out according to the purification demand index of each sub-region, an initial detection time interval is set, a new purification demand index is obtained after detection time, and the purification demand index of each sub-region is calculated according to the initial detection time interval. And a new detection time interval is calculated according to the purification demand index, the detection time interval is continuously updated, and air conditioner purification management is performed according to the detection time interval, so that the cleaning efficiency of the clean air conditioner is effectively improved, unnecessary energy waste is avoided, and the quality of produced medicines is improved.

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] Clean air conditioning equipment management refers to 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 clean standards. This includes monitoring air data, adjusting the air conditioning system, regular maintenance and troubleshooting to maintain the stability and cleanliness of the production environment, meet regulatory requirements and ensure 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. The use of this management method will result in the previous level division no longer being 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 causing 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 comprehensive sensors in each sub-environment, wherein 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 comprehensive sensors, wherein the relevant parameters include 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;

[0011] Step 4: Perform 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] Preferably, the step of collecting relevant parameters of each sub-environment through a comprehensive sensor is:

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

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

[0016] The Doppler shift of each sub-environment is obtained using integrated sensors.

[0017] Preferably, the step of calculating the purification demand index of each sub-area according to the relevant parameters of the sub-environment is:

[0018] Get 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 is the filter coefficient, C in Expressed as the particle concentration at the air inlet, C out It is 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: Wherein, PD represents the purification demand index, FT represents the filtration coefficient, AS represents the air suitability coefficient, UD represents the air flow distribution uniformity coefficient, and a1, a2, and a3 represent the weight coefficients of the filtration coefficient, the air suitability coefficient, and the air flow distribution uniformity coefficient.

[0022] Preferably, the step of calculating the air suitability coefficient according to the air standard data is:

[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 the calculation formula is: Where AS represents the air suitability coefficient, Td represents the temperature difference, and Hd represents the humidity difference.

[0026] Preferably, the step of calculating the airflow distribution uniformity coefficient according to the Doppler frequency shift is:

[0027] The sub-environment is divided into n parts, recorded as sub-flow velocity environments, and the air flow velocity of each sub-flow velocity environment is calculated according to the Doppler frequency shift. The calculation formula is: Where V represents the air flow velocity, c is the light speed data, Δf represents the Doppler frequency shift, and f0 represents the original laser frequency;

[0028] The average air flow velocity of the sub-environment is calculated according to the air flow velocity of the sub-flow velocity environment. The calculation formula is: in It is expressed as the average air flow velocity, n is the number of sub-flow rate environments, V i It is 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, and the calculation formula is: Where σ represents the standard deviation of air flow velocity, V i It is 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 air flow distribution uniformity coefficient, It is expressed as the average air flow velocity and σ is expressed as the standard deviation of the air flow velocity.

[0031] Preferably, the steps of performing purification to a corresponding degree according to the purification demand index of each sub-area are:

[0032] Compare the purification demand index with a preset threshold value to divide the sub - environments 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 T′ = C×T 初 , 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, for the clean air - conditioning equipment management system of pharmaceutical enterprises, the system includes:

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

[0038] A data acquisition 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;

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

[0040] An air - conditioning equipment management module, which 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;

[0041] A data update module, which is 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 by 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 conditioner, 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 solution of the present invention will be clearly and completely described below in conjunction with the drawings in the present invention. In addition, the forms of the various structures recorded in the following embodiments are merely illustrative. The pharmaceutical enterprise clean air conditioning equipment management system and method involved in the present invention are not limited to the various structures recorded in the following embodiments. All other implementations 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 evenly, integrate relevant sensors into comprehensive sensors, and set comprehensive sensors in each sub-environment. The relevant sensors include particle sensors, temperature sensors, humidity sensors, and laser Doppler anemometers;

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

[0049] The humidity sensor is a device used to measure the relative humidity or absolute humidity in the air, which can convert humidity changes into electrical signals or other readable values. 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] The particle sensor is a device used to measure the concentration of particulate matter in the air, which can detect and monitor solid and liquid particles in the air, such as dust, smoke and pollutants in real time. These sensors usually 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 high-precision airflow velocity measurement device that uses a laser beam and the Doppler effect principle to measure the velocity in the airflow. Its working principle is to emit a laser beam into the flowing gas. When the laser beam encounters the flowing particles, its frequency changes, and the detector calculates the airflow velocity by measuring this frequency change. The laser Doppler anemometer can provide very accurate instantaneous flow velocity data and is widely used in fluid mechanics research and industrial process monitoring.

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

[0053] Set up 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 comprehensive sensors, wherein the relevant parameters include 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 particle concentrations in each sub-environment;

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

[0060] The Doppler shift of each sub-environment is acquired using integrated sensors. The Doppler shift is the phenomenon that the frequency of a wave changes when the relative motion between the observer and the source of the wave occurs. Specifically, when the source of the wave moves toward the observer, the frequency of the received wave increases (the wavelength shortens), while when the source of the wave moves away from the observer, the frequency decreases (the wavelength lengthens). In the laser Doppler anemometer, this principle is used to measure the airflow velocity, by analyzing the frequency change of the laser beam on the flowing particles to calculate the airflow velocity.

[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 according to the relevant parameters of the sub-environment is:

[0063] Get 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 is the filter coefficient, C in It is expressed as the particle concentration at the air inlet, which means 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 comprehensiveness of the 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 is the purification demand index, FT is the filtration coefficient, and a high filtration coefficient means that the filter can more effectively remove particulate matter in the air and reduce the concentration of pollutants in the air, which directly reduces the demand for additional purification equipment or systems to achieve the set air quality goals. Therefore, as the filtration coefficient increases, the overall purification demand of the system decreases, allowing the ambient air quality to reach or maintain the expected standard level more quickly. AS is the air suitability coefficient, which usually reflects the superiority of the current air quality. A higher value indicates that the air quality is close to or reaches 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 means that the environment has met or is close to meeting the air quality standard, the demand for further purification equipment or measures will be reduced accordingly. This relationship shows that by improving air quality, the reliance on additional purification measures can be significantly reduced, thereby achieving more efficient environmental management and saving resources. UD is the airflow distribution uniformity coefficient. A high uniformity coefficient means that the air is evenly distributed in the space, and the purification equipment can more evenly treat pollutants in the air, so that the air quality of the entire environment can reach the set standard faster. Therefore, the purification demand index will be reduced in this case, because the uniform airflow distribution reduces the accumulation of pollutants and excessive local concentrations, thereby reducing the need for additional purification measures. In other words, when the airflow distribution is more uniform, the effect of the purification equipment will be better, and the additional purification demand required to meet the air quality requirements will also be reduced accordingly, which shows that optimizing the airflow distribution can effectively improve the overall purification efficiency and reduce resource consumption. a1, a2, and a3 are expressed as weight coefficients of the filtration coefficient, air suitability coefficient, and airflow distribution uniformity coefficient, and this embodiment does not specifically calculate the specific values ​​of a1, a2, and a3.

[0067] In this embodiment, it should be specifically explained that the step of calculating the air suitability coefficient according to the air standard data is 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 the 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 step of calculating the airflow distribution uniformity coefficient according to the Doppler frequency shift is:

[0072] The sub-environment is divided into n parts, recorded as sub-flow velocity environments, and the air flow velocity of each sub-flow velocity environment is calculated according to the Doppler frequency shift. The calculation formula is: Where V represents the air flow velocity, c is the light speed data, Δf represents the Doppler frequency shift, and f0 represents the original laser frequency;

[0073] The average air flow velocity of the sub-environment is calculated according to the air flow velocity of the sub-flow velocity environment. The calculation formula is: in It is expressed as the average air flow velocity, n is the number of sub-flow rate environments, V i It is 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, and the calculation formula is: Where σ represents the standard deviation of air flow velocity, V i It is 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 air flow distribution uniformity coefficient, It is expressed as the average air flow velocity and σ is expressed as the standard deviation of the air flow velocity.

[0076] Doppler shift technology uses lasers or microwaves to measure tiny particles in the airflow, which can provide high-precision airflow velocity data. This precise measurement can more accurately evaluate the distribution of airflow in different areas; the technology supports real-time measurement and data analysis, and can instantly obtain the latest information on airflow distribution. This is especially important for environments that require rapid 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 the airflow distribution uniformity coefficient can be calculated. This helps to identify areas with uneven airflow and optimize air flow to improve air quality and system performance.

[0077] In some strict environments, such as pharmaceutical factories or electronic manufacturing workshops, the uniform distribution of airflows is crucial for maintaining a clean environment and preventing pollution. By calculating the uniformity coefficient of airflow distribution, it can be ensured that air movement meets 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 a 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 a 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 a 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 time interval according to the purification requirement index, unnecessary frequent detections can be avoided, energy and maintenance costs can be saved, and at the same time, it can be ensured that sufficient monitoring data can be obtained when needed. This helps to efficiently utilize resources and reduce operating costs; increasing the monitoring frequency during periods of high purification requirements (such as when pollutant concentrations are high) can timely obtain the latest air quality data, helping to quickly respond and adjust the purification system. Conversely, reducing the detection frequency during periods of low demand helps to improve the overall detection efficiency; dynamically adjusting the detection time interval enables the system to flexibly adapt to different environmental conditions and pollution levels, thus achieving more refined air quality management. This flexibility helps to cope with sudden pollution events or environmental changes and maintain the stability of air quality.

[0083] In this embodiment, it should be specifically noted that the step of calculating a new detection time interval based on the two purification requirement indexes before and after the time interval is as follows:

[0084] Calculate the ratio of the purification requirement index after the time interval to the purification requirement index before the time interval to obtain a time change coefficient, and its 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 T′=C×T 初 , 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] A sensor setting module is used to aggregate related sensors into a comprehensive sensor and set the comprehensive sensor;

[0088] A data acquisition module, which 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] A data evaluation module is used to receive 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] The 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 protection scope of the present invention.

[0093] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for managing clean air conditioning equipment in pharmaceutical enterprises, characterized in that: Including 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 anemometer; 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; 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.

2. The pharmaceutical enterprise clean air conditioning equipment management method according to claim 1 is characterized by: 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 frequency shift of each sub-environment.

3. The pharmaceutical enterprise clean air conditioning equipment management method according to claim 1 is characterized by: The step of calculating the purification demand index of each sub-region based on the relevant parameters of the sub-environment is as follows: Get 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 is the filter coefficient, C in Expressed as the particle concentration at the air inlet, C out It is 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 frequency 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: Wherein, PD represents the purification demand index, FT represents the filtration coefficient, AS represents the air suitability coefficient, UD represents the air flow distribution uniformity coefficient, and a1, a2, and a3 represent the weight coefficients of the filtration coefficient, the air suitability coefficient, and the air flow distribution uniformity coefficient.

4. The pharmaceutical enterprise clean air conditioning equipment management method according to claim 3 is characterized by: The step of calculating the air suitability coefficient based on the air standard data is as follows: 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 the calculation formula is: Where AS represents the air suitability coefficient, Td represents the temperature difference, and Hd represents the humidity difference.

5. The pharmaceutical enterprise clean air conditioning equipment management method according to claim 3 is characterized by: The step of calculating the air flow distribution uniformity coefficient based on the Doppler frequency shift is as follows: The sub-environment is divided into n parts, recorded as sub-flow velocity environments, and the air flow velocity of each sub-flow velocity environment is calculated according to the Doppler frequency shift. The calculation formula is: Where V represents the air flow velocity, c is the light speed data, Δf represents the Doppler frequency shift, and f0 represents the original laser frequency; The average air flow velocity of the sub-environment is calculated according to the air flow velocity of the sub-flow velocity environment. The calculation formula is: in It is expressed as the average air flow velocity, n is the number of sub-flow rate environments, V i It is 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, and the calculation formula is: Where σ represents the standard deviation of air flow velocity, V i It is 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 air flow distribution uniformity coefficient, V represents the average air flow velocity, and σ represents the standard deviation of the air flow velocity.

6. The pharmaceutical enterprise clean air conditioning equipment management method according to claim 1 is characterized by: The step of performing purification to the corresponding degree according to the purification demand index of each sub-region is as follows: 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 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 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.

7. The pharmaceutical enterprise clean air conditioning equipment management method according to claim 1, 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 time variation coefficient is calculated by calculating the ratio of the purification demand index after the time interval to 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 T′=C×T 初 , where T' represents the new detection time interval, C represents the time variation coefficient, T 初 Indicates the initial detection time interval.

8. 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 7, characterized in that: 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; A data update module, used to adjust the data update time according to the purification demand index.

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