Laboratory temperature control monitoring method and system

Abstract

The present invention discloses a laboratory temperature control monitoring method and system, which relates to the field of laboratory temperature control monitoring technology. The outdoor environment coefficient Tec is established through the external temperature and humidity data of the laboratory, and the heat b1 is emitted by each instrument and equipment during operation. i 、b2 i 、b3 i 、……、bk i , establish the comprehensive instrument heat coefficient Lec, establish the ventilation coefficient Vc through wind speed and air volume data, and establish the human body heat d1 released by each person in the laboratory i d2 i , d3 i 、……、dm i , establish the comprehensive human body heat coefficient Chb; establish the temperature control coefficient Tcc through the outdoor environment coefficient Tec, the comprehensive instrument heat coefficient Lec, the ventilation coefficient Vc and the comprehensive human body heat coefficient Chb, use the averaging method to calculate the highest average temperature and the lowest average temperature suitable for storing various laboratory reagents, use the PID algorithm to calculate the temperature adjustment value and make corresponding adjustments to obtain the current temperature control coefficient X, achieve precise temperature control, and ensure the stability and safety of the laboratory environment.

Description

Technical Field

[0001] The present invention relates to the technical field of laboratory temperature control and monitoring, and in particular to a laboratory temperature control and monitoring method and system. Background Art

[0002] With the acceleration of science and technology and industrialization, laboratory temperature control monitoring methods and systems have become an indispensable part of modern laboratories. Effective temperature control monitoring can not only ensure the stability of the laboratory environment, but also extend the service life of equipment and ensure the safety of laboratory personnel. Scientific temperature control systems can maintain the optimal temperature environment required by the laboratory. However, in actual applications, existing temperature control monitoring systems still do not take into account the real-time changes of environmental parameters and cannot adapt to complex and changing experimental conditions. There are problems such as low temperature control accuracy, slow response speed, and high maintenance costs. Traditional temperature control systems lack intelligent adjustment capabilities and cannot make timely adjustments based on minor changes inside and outside the laboratory. In addition, deficiencies in data transmission and remote monitoring make it impossible for managers to grasp the environmental conditions in the laboratory in real time, affecting the safety and efficiency of the experiment, resulting in reduced laboratory management efficiency, reduced reliability of experimental results, and increased risks in laboratory operations.

[0003] In the Chinese invention application with application publication number CN118244826A, an intelligent temperature and humidity control method and system for a drying room are disclosed. The system includes: a data acquisition device for dividing the drying area into different drying areas according to an arrangement rule, and obtaining historical and current tobacco leaf image data, temperature data, humidity data and micro-layer difference data of each drying area. The control system includes an image processing module, a data judgment module and an adjustment control module. The temperature data after the current moment is adjusted by the adjustment control module so that the temperature layer difference is within a preset temperature layer difference threshold range; the humidity data after the current moment is adjusted so that the humidity layer difference is within a preset humidity layer difference threshold range. The present invention can combine image recognition and micro-layer difference to adjust the temperature data and humidity data, so that the micro-layer difference is kept within the threshold range at each moment, so that the drying result of the tobacco leaves is better.

[0004] In the above invention, although the intelligent temperature and humidity control method and system for the drying room combines image recognition and micro-layer difference data to accurately adjust the temperature and humidity, thereby improving the consistency and quality of the tobacco drying results, the system complexity is relatively high and the implementation and maintenance are difficult. In addition, the mutual influence between different drying areas and the changes in external environmental factors are not fully considered, which limits the adaptability and universality of the system in different environments, and lacks remote control settings.

[0005] To this end, the present invention provides a laboratory temperature control monitoring method and system. Summary of the Invention

[0006] (1) Technical problems solved

[0007] In response to the deficiencies of the prior art, the present invention provides a laboratory temperature control monitoring method and system, which stores data collected by sensors and cameras in a database of a data acquisition module through Zigbee connection technology; establishes an outdoor environment coefficient Tec based on laboratory external temperature and laboratory external humidity data; establishes a comprehensive instrument heat coefficient Lec based on heat data emitted by laboratory instruments B1, B2, B3, ..., Bk during operation; establishes a ventilation coefficient Vc based on wind speed and air volume data; and establishes a comprehensive human heat coefficient Chb based on human body heat data released by laboratory personnel D1, D2, D3, ..., Dm; establishes a temperature control coefficient Tcc based on the outdoor environment coefficient Tec, the comprehensive instrument heat coefficient Lec, the ventilation coefficient Vc, and the comprehensive human heat coefficient Chb; uses the averaging method to calculate the maximum and minimum average temperatures suitable for storing various laboratory reagents; uses a PID algorithm to calculate the temperature adjustment value, and performs corresponding adjustments to obtain the current temperature control coefficient X; and transmits the database of the data acquisition module to a remote monitoring module through cellular network technology to remotely monitor and control the laboratory temperature.

[0008] (2) Technical solution

[0009] To achieve the above objectives, the present invention is implemented through the following technical solutions: A laboratory temperature control monitoring method comprises the following steps:

[0010] The temperature A1 and humidity A2 outside the laboratory are collected by temperature sensors and humidity sensors installed outside the laboratory. The heat b1, b2, b3, ..., bk emitted by the instruments B1, B2, B3, ..., Bk during operation is collected by thermocouple sensors installed on the laboratory instruments. The wind speed C1 and air volume C2 are collected by thermal anemometers and air volume sensors installed on the laboratory ventilation system. The body heat d1, d2, d3, ..., dm released by people D1, D2, D3, ..., Dm in the laboratory is collected by infrared thermal imaging cameras installed inside the laboratory. The data collected by the above sensors and cameras are stored in a database using Zigbee connection technology. Zigbee connection technology is a wireless communication protocol based on the IEEE 802.15.4 standard, mainly used for short-range wireless networks with low power consumption and low data rate. It is widely used in Internet of Things devices and sensor networks, supports reliable communication between devices, and has good low power consumption characteristics and self-organizing network functions.

[0011] Based on the laboratory's external temperature and humidity data, the outdoor environment coefficient Tec is established. Based on the heat data emitted by laboratory instruments B1, B2, B3, ..., Bk during operation, the comprehensive instrument heat coefficient Lec is established. Based on the wind speed and air volume data, the ventilation coefficient Vc is established. Based on the human body heat data released by laboratory personnel D1, D2, D3, ..., Dm, the comprehensive human body heat coefficient Chb is established.

[0012] The temperature control coefficient Tcc is established through the outdoor environment coefficient Tec, the comprehensive instrument heat coefficient Lec, the ventilation coefficient Vc and the comprehensive human body heat coefficient Chb. The average method is used to calculate the highest average temperature and the lowest average temperature suitable for storing various reagents in the laboratory. The temperature adjustment value is calculated using the PID algorithm and adjusted accordingly to obtain the current temperature control coefficient X.

[0013] The database of the data acquisition module is transmitted to the remote monitoring module via cellular network technology. Managers can monitor the data of various sensors and cameras in the laboratory, as well as the current temperature control coefficient X, through dedicated software or applications. Managers can use the remote control system to adjust the laboratory temperature based on real-time monitoring data. Cellular network technology is a wireless network technology widely used in mobile communications. It realizes data transmission through wireless connection between base stations and mobile devices. It supports the connection of large-scale users and devices, and provides high data transmission rate and wide coverage.

[0014] Furthermore, according to the laboratory external temperature A1 i and laboratory external humidity A2 i The outdoor environment coefficient Tec is established by data, and the weights of the laboratory external temperature and the laboratory external humidity are calculated using the entropy weight method. First, the laboratory external temperature A1 i and laboratory external humidity A2 i The data is standardized and the formula is as follows:

[0015]

[0016] Among them, A1 i '' and A2 i '' are the standard deviations of the laboratory external temperature and the laboratory external humidity, respectively. The proportion of the standardized parameters is calculated using the following formula:

[0017]

[0018] Where i is the sampling time number, i = 1, 2, 3, ..., n, n is the number of samples, pA1 i and pA2 i are the proportions of the laboratory external temperature and laboratory external humidity parameters respectively.

[0019] Furthermore, the information entropy of the parameters is calculated by the ratio of the laboratory external temperature and the laboratory external humidity parameters. The formula is as follows:

[0020]

[0021] Among them, eA1 i and eA2 i The information entropy of the external temperature and humidity of the laboratory is expressed. The weights of the external temperature and humidity of the laboratory are calculated based on the information entropy. The formula is as follows:

[0022]

[0023] Among them, 1-eA1 i and 1-eA2 i They represent the mutual information of the information entropy of the external temperature and the external humidity of the laboratory respectively.

[0024] Furthermore, the outdoor environment coefficient Tec is established based on the weights a1 and a2 of the obtained laboratory external temperature and laboratory external humidity:

[0025]

[0026] The calculation formula of the corresponding outdoor environment coefficient Tec is as above.

[0027] Furthermore, according to the heat b1 emitted by laboratory instruments B1, B2, B3, ..., Bk during operation i 、b2 i 、b3 i 、……、bk i Data, and establish the comprehensive instrument heat coefficient Lec, use the entropy weight method to calculate the weight coefficient of the heat emitted by each instrument when it is working, first standardize the heat emitted by each instrument when it is working

[0028] ''''''''

[0029] to b1 i 、b2 i 、b3 i 、……、bk i , calculate the normalized proportion of heat emitted by each instrument during operation, Pb1 i 、Pb2 i 、Pb3 i 、……、Pbk i , and then calculate the information entropy eb1 of the heat emitted by each instrument during operation i eb2 i ,eb3 i、……、ebk i , calculate the weights w1, w2, w3, ..., w of heat emitted by each instrument during operation according to information entropy k , calculate the comprehensive instrument heat coefficient Lec using the weight:

[0030]

[0031] The corresponding calculation formula for the comprehensive instrument heat coefficient Lec is as above.

[0032] Furthermore, according to the wind speed C1 on the laboratory ventilation system i and air volume C2 i , and establish the ventilation coefficient Vc, use the entropy weight method to calculate the weight coefficients of wind speed and air volume, first standardize the wind speed and air volume data to obtain

[0033] ''''

[0034] C1 i and C2 i , the normalized weights of wind speed and wind volume are PC1 and PC2 respectively. i and PC2 i , and then calculate the information entropy eC1 of wind speed and wind volume i and eC2 i , calculate the weights c1 and c2 of wind speed and air volume according to information entropy, and use the weights to calculate the ventilation coefficient Vc:

[0035]

[0036] The calculation formula of the corresponding ventilation coefficient Vc is as above.

[0037] Furthermore, based on the body heat d1 released by the people D1, D2, D3, ..., Dm in the laboratory i d2 i , d3 i 、……、dm i The data is collected and the comprehensive human body heat coefficient Chb is established. The entropy weight method is used to calculate the weight coefficient of the human body heat released by each person in the laboratory. First, the human body heat released by each person in the laboratory is calculated.

[0038] ''''''''

[0039] Normalization gives d1 i d2 i , d3 i 、……、dm i , calculate the standardized proportion of body heat released by each person in the laboratory, which are Pd1 i 、Pd2 i 、Pd3 i、……、Pdm i , and then calculate the information entropy ed1 of the body heat released by each person in the laboratory i 、ed2 i 、ed3 i 、……、edm i , calculate the weights σ1, σ2, σ3, ..., σ of the body heat released by each person in the laboratory based on the information entropy m , use the weight to calculate the comprehensive human body heat coefficient Chb:

[0040]

[0041] The corresponding calculation formula for the comprehensive human body heat coefficient Chb is as above.

[0042] Furthermore, the temperature control coefficient Tcc is established through the outdoor environment coefficient Tec, the comprehensive instrument heat coefficient Lec, the ventilation coefficient Vc and the comprehensive human body heat coefficient Chb. The formula is as follows:

[0043] Tcc=β1Tec+β2Lec+β3Vc+β4Chb

[0044] Among them, β1, β2, β3 and β4 are the weight coefficients of the outdoor environment coefficient Tec, the comprehensive instrument heat coefficient Lec, the ventilation coefficient Vc and the comprehensive human body heat coefficient Chb, respectively.

[0045] Furthermore, the maximum temperature max corresponding to each medicine is obtained according to the medicine database. t and minimum temperature min t , t is the number of each agent, t = 1, 2, 3, ..., v, use the average method to calculate the highest average temperature H suitable for all agents, the formula is as follows:

[0046]

[0047] Where v is the total number of reagents, and the average method is used to calculate the lowest average temperature G suitable for each reagent:

[0048]

[0049] The calculation formula for the corresponding minimum average temperature G is as above.

[0050] Furthermore, the PID algorithm is used to calculate the temperature adjustment value and perform intelligent adjustment to obtain the current temperature control coefficient X. The formula is as follows:

[0051]

[0052] Among them, K1 is the proportional gain, K2 is the integral gain, and K3 is the differential gain. By intelligently adjusting the temperature control value ΔT, the current temperature control coefficient X suitable for storing various medicines is obtained. The current temperature control coefficient X is the sum of the indoor temperature before regulation and ΔT.

[0053] A laboratory temperature control and monitoring system, comprising:

[0054] The data acquisition module collects the laboratory external temperature A1 and the laboratory external humidity A2 through temperature sensors and humidity sensors installed outside the laboratory, collects the heat b1, b2, b3, ..., bk emitted by instruments B1, B2, B3, ..., Bk during operation through thermocouple sensors installed on laboratory instruments and equipment, collects wind speed C1 and air volume C2 through thermal anemometers and air volume sensors installed on the laboratory ventilation system, and collects body heat d1, d2, d3, ..., dm released by people D1, D2, D3, ..., Dm in the laboratory through infrared thermal imaging cameras installed inside the laboratory. The data collected by the above sensors and cameras are stored in a database using Zigbee connection technology;

[0055] The data processing module establishes the outdoor environment coefficient Tec based on the laboratory external temperature and humidity data, establishes the comprehensive instrument heat coefficient Lec based on the heat data emitted by laboratory instruments B1, B2, B3, ..., Bk during operation, establishes the ventilation coefficient Vc based on the wind speed and air volume data, and establishes the comprehensive human heat coefficient Chb based on the human body heat data released by laboratory personnel D1, D2, D3, ..., Dm;

[0056] The intelligent adjustment module establishes the temperature control coefficient Tcc based on the outdoor environment coefficient Tec, the comprehensive instrument heat coefficient Lec, the ventilation coefficient Vc, and the comprehensive human body heat coefficient Chb. It uses the averaging method to calculate the highest and lowest average temperatures suitable for storing various laboratory reagents. It uses the PID algorithm to calculate the temperature adjustment value and makes corresponding adjustments to obtain the current temperature control coefficient X.

[0057] The remote monitoring module transmits the database of the data acquisition module to the remote monitoring module through cellular network technology. Managers can monitor the data of various sensors and cameras in the laboratory, as well as the current temperature control coefficient X, through dedicated software or applications. Managers can use the remote control system to adjust the laboratory temperature based on real-time monitoring data.

[0058] (3) Beneficial effects

[0059] The present invention provides a laboratory temperature control monitoring method and system, which has the following beneficial effects:

[0060] 1. Use temperature sensors and humidity sensors installed outside the laboratory to collect the laboratory's external temperature A1 and humidity A2. Use thermocouple sensors installed on laboratory instruments to collect the heat b1, b2, b3, ..., bk emitted by instruments B1, B2, B3, ..., Bk during operation. Use thermal anemometers and air volume sensors installed on the laboratory ventilation system to collect wind speed C1 and air volume C2. Use infrared thermal imaging cameras installed inside the laboratory to collect the body heat d1, d2, d3, ..., dm released by people D1, D2, D3, ..., Dm in the laboratory. Use Zigbee connection technology to store the data collected by these sensors and cameras in a database to ensure comprehensive and real-time collection of laboratory environmental parameters, which facilitates subsequent data processing and analysis.

[0061] 2. Based on the laboratory's external temperature and humidity data, establish the outdoor environment coefficient Tec. Based on the heat data emitted by laboratory instruments B1, B2, B3, ..., Bk during operation, establish the comprehensive instrument heat coefficient Lec. Based on the wind speed and air volume data, establish the ventilation coefficient Vc. Based on the human body heat data released by laboratory personnel D1, D2, D3, ..., Dm, establish the comprehensive human body heat coefficient Chb. Systematically process and organize the data to make temperature control more accurate and effective.

[0062] 3. The temperature control coefficient Tcc is established based on the outdoor environment coefficient Tec, the comprehensive instrument heat coefficient Lec, the ventilation coefficient Vc, and the comprehensive human body heat coefficient Chb. The average method is used to calculate the maximum and minimum average temperatures suitable for storing various laboratory reagents. The temperature adjustment value is calculated using the PID algorithm and adjusted accordingly to obtain the current temperature control coefficient X. The laboratory temperature is intelligently adjusted to ensure temperature control accuracy and meet the reagent storage requirements.

[0063] 4. Remote monitoring module: The database of the data acquisition module is transmitted to the remote monitoring module through cellular network technology. Managers can monitor the data of various sensors and cameras in the laboratory, as well as the current temperature control coefficient X, through dedicated software or applications. Managers can use the remote control system to adjust the laboratory temperature based on real-time monitoring data, thereby effectively ensuring the safety and stable operation of the laboratory.

[0064] It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.

[0066] Figure 1 A schematic flow chart of a laboratory temperature control and monitoring method according to the present invention;

[0067] Figure 2 The figure is a structural diagram of a laboratory temperature control and monitoring system of the present invention. DETAILED DESCRIPTION

[0068] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0069] See also Figure 1 The present invention provides a laboratory temperature control monitoring method, comprising the following steps:

[0070] Temperature sensors and humidity sensors installed outside the laboratory collect the laboratory's external temperature A1 and humidity A2. Thermocouple sensors installed on laboratory instruments collect the heat b1, b2, b3, ..., bk emitted by instruments B1, B2, B3, ..., Bk during operation. A thermal anemometer and air volume sensor installed on the laboratory's ventilation system collect the wind speed C1 and air volume C2. Infrared thermal imaging cameras installed inside the laboratory collect the body heat d1, d2, d3, ..., dm released by people D1, D2, D3, ..., Dm in the laboratory. The data collected by the above sensors and cameras are stored in a database using Zigbee connection technology. Zigbee connection technology is a wireless communication protocol based on the IEEE 802.15.4 standard. It is mainly used for low-power, low-data-rate, short-range wireless networks. It is widely used in Internet of Things devices and sensor networks, supports reliable communication between devices, and has excellent low-power consumption characteristics and self-organizing network capabilities.

[0071] Based on the laboratory external temperature A1 i and laboratory external humidity A2 iThe outdoor environment coefficient Tec is established by data, and the weights of the laboratory external temperature and the laboratory external humidity are calculated using the entropy weight method. First, the laboratory external temperature A1 i and laboratory external humidity A2 i The data is standardized and the formula is as follows:

[0072]

[0073] Among them, A1 i '' and A2 i '' are the standard deviations of the laboratory external temperature and the laboratory external humidity, respectively. The proportion of the standardized laboratory external temperature and laboratory external humidity parameters is calculated using the following formula:

[0074]

[0075]

[0076] Where i is the sampling time number, i = 1, 2, 3, ..., n, n is the number of samples, pA1 i and pA2 i are the proportions of the laboratory external temperature and laboratory external humidity parameters respectively.

[0077] The information entropy of the parameters is calculated by the ratio of the laboratory external temperature and the laboratory external humidity parameters. The formula is as follows:

[0078]

[0079] Among them, eA1 i and eA2 i The information entropy of the external temperature and humidity of the laboratory is expressed. The weights of the external temperature and humidity of the laboratory are calculated based on the information entropy. The formula is as follows:

[0080]

[0081] Among them, 1-eA1 i and 1-eA2 i They represent the mutual information of the information entropy of the external temperature and the external humidity of the laboratory respectively.

[0082] According to the weights a1 and a2 of the obtained laboratory external temperature and laboratory external humidity, the outdoor environment coefficient Tec is established:

[0083]

[0084] The calculation formula of the corresponding outdoor environment coefficient Tec is as above.

[0085] According to the laboratory equipment B1, B2, B3, ..., Bk, the heat b1 is emitted during operation i 、b2 i 、b3 i 、……、bk i Data, and establish the comprehensive instrument heat coefficient Lec, use the entropy weight method to calculate the emissions of each instrument and equipment when it is working again

[0086] The heat weight coefficient is firstly standardized by the heat emitted by each instrument during operation to obtain b1 i 、b2 i 、

[0087] ''''

[0088] b3 i 、……、bk i , calculate the normalized proportion of heat emitted by each instrument during operation, Pb1 i 、Pb2 i 、Pb3 i 、……、Pbk i , and then calculate the information entropy eb1 of the heat emitted by each instrument during operation i eb2 i ,eb3 i 、……、ebk i , calculate the weights w1, w2, w3, ..., w of heat emitted by each instrument during operation according to information entropy k , calculate the comprehensive instrument heat coefficient Lec using the weight:

[0089]

[0090] The corresponding calculation formula for the comprehensive instrument heat coefficient Lec is as above

[0091] According to the wind speed C1 on the laboratory ventilation system i and air volume C2 i , and establish the ventilation coefficient Vc, using the entropy weight method

[0092] ''''Calculate the weight coefficients of wind speed and wind volume. First, standardize the wind speed and wind volume data to get C1 i and C2 i , the normalized weights of wind speed and wind volume are PC1 and PC2 respectively. i and PC2 i , and then calculate the information entropy eC1 of wind speed and wind volume i and eC2 i , calculate the weights c1 and c2 of wind speed and air volume according to information entropy, and use the weights to calculate the ventilation coefficient Vc. The formula is as follows:

[0093]

[0094] The calculation formula of the corresponding ventilation coefficient Vc is as above.

[0095] Based on the body heat d1 released by the people D1, D2, D3, ..., Dm in the laboratory i d2 i , d3 i 、……、dm i The data is used to establish the comprehensive human body heat coefficient Chb, and the entropy weight method is used to calculate the human body heat released by each person in the laboratory.

[0096] ''

[0097] The weight coefficient of body heat is first standardized by the body heat released by each person in the laboratory to obtain d1 i 、

[0098] ''''''

[0099] d2 i , d3 i 、……、dm i , calculate the standardized proportion of body heat released by each person in the laboratory, which are Pd1 i 、Pd2 i 、Pd3 i 、……、Pdm i , and then calculate the information entropy ed1 of the body heat released by each person in the laboratory i 、ed2 i 、ed3 i 、……、edm i , calculate the weights σ1, σ2, σ3, ..., σ of the body heat released by each person in the laboratory based on the information entropy m , use the weight to calculate the comprehensive human body heat coefficient Chb, the formula is as follows:

[0100]

[0101] The corresponding calculation formula for the comprehensive human body heat coefficient Chb is as above.

[0102] The temperature control coefficient Tcc is established by the outdoor environment coefficient Tec, the comprehensive instrument heat coefficient Lec, the ventilation coefficient Vc and the comprehensive human body heat coefficient Chb. The formula is as follows:

[0103] Tcc=β1Tec+β2Lec+β3Vc+β4Chb

[0104] Among them, β1, β2, β3 and β4 are the weight coefficients of the outdoor environment coefficient Tec, the comprehensive instrument heat coefficient Lec, the ventilation coefficient Vc and the comprehensive human body heat coefficient Chb, respectively.

[0105] Get the maximum temperature max stored for each medicine according to the medicine database t and minimum temperature min t , t is the number of each agent, t = 1, 2, 3, ..., v, use the average method to calculate the highest average temperature H suitable for all agents, the formula is as follows:

[0106]

[0107] Where v is the total number of reagents, and the average method is used to calculate the lowest average temperature G suitable for each reagent:

[0108]

[0109] The calculation formula for the corresponding minimum average temperature G is as above.

[0110] The temperature control value is calculated using the PID algorithm and intelligently adjusted to obtain the current temperature control coefficient X. The formula is as follows:

[0111]

[0112] Among them, K1 is the proportional gain, K2 is the integral gain, and K3 is the differential gain. By intelligently adjusting the temperature control value ΔT, the current temperature control coefficient X suitable for storing various medicines is obtained. The current temperature control coefficient X is the sum of the indoor temperature before regulation and ΔT.

[0113] The database of the data acquisition module is transmitted to the remote monitoring module via cellular network technology. Managers can monitor the data of various sensors and cameras in the laboratory, as well as the current temperature control coefficient X, through dedicated software or applications. Managers can use the remote control system to adjust the laboratory temperature based on real-time monitoring data. Cellular network technology is a wireless network technology widely used in mobile communications. It realizes data transmission through wireless connection between base stations and mobile devices. It supports the connection of large-scale users and devices, and provides high data transmission rate and wide coverage.

[0114] See also Figure 2 The present invention provides a laboratory temperature control monitoring system, comprising:

[0115] The data acquisition module collects the external temperature A1 and the external humidity A2 of the laboratory through temperature sensors and humidity sensors installed outside the laboratory, collects the heat b1, b2, b3, ..., bk emitted by instruments B1, B2, B3, ..., Bk during operation through thermocouple sensors installed on laboratory instruments and equipment, collects wind speed C1 and air volume C2 through thermal anemometers and air volume sensors installed on the laboratory ventilation system, and collects human body heat d1, d2, d3, ..., dm released by people D1, D2, D3, ..., Dm in the laboratory through cameras with infrared thermal imaging functions installed inside the laboratory. The data collected by the above sensors and cameras are stored in a database using Zigbee connection technology.

[0116] The data processing module establishes the outdoor environment coefficient Tec based on the laboratory external temperature and laboratory external humidity data, establishes the comprehensive instrument heat coefficient Lec based on the heat data emitted by laboratory instruments and equipment B1, B2, B3, ..., Bk during operation, establishes the ventilation coefficient Vc based on the wind speed and air volume data, and establishes the comprehensive human heat coefficient Chb based on the human body heat data released by the personnel D1, D2, D3, ..., Dm in the laboratory.

[0117] The intelligent adjustment module establishes the temperature control coefficient Tcc through the outdoor environment coefficient Tec, the comprehensive instrument heat coefficient Lec, the ventilation coefficient Vc and the comprehensive human body heat coefficient Chb. It uses the averaging method to calculate the highest average temperature and the lowest average temperature suitable for storing various laboratory reagents. It uses the PID algorithm to calculate the temperature adjustment value and makes corresponding adjustments to obtain the current temperature control coefficient X.

[0118] The remote monitoring module transmits the database of the data acquisition module to the remote monitoring module through cellular network technology. Managers can monitor the data of various sensors and cameras in the laboratory, as well as the current temperature control coefficient X, through dedicated software or applications. Managers can use the remote control system to adjust the laboratory temperature based on real-time monitoring data.

[0119] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those skilled in the art will appreciate that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0120] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0121] The above is only a specific implementation method of the present application, but the scope of protection of the present application is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed in this application, which should be covered by the scope of protection of the present application.

Claims

1. A laboratory temperature control monitoring method, characterized in that: The steps include: The temperature and humidity sensors installed outside the laboratory collect the laboratory's external temperature A1 and humidity A2. The thermocouple sensors installed on the laboratory instruments collect the heat b1, b2, b3, ..., bk emitted by the instruments B1, B2, B3, ..., Bk during operation. The thermal anemometer and air volume sensor installed on the laboratory ventilation system collect the wind speed C1 and air volume C2. The infrared thermal imaging camera installed inside the laboratory collects the body heat d1, d2, d3, ..., dm released by the people D1, D2, D3, ..., Dm in the laboratory. The data collected by the above sensors and cameras are stored in a database using Zigbee connection technology. Based on the laboratory's external temperature and humidity data, the outdoor environment coefficient Tec is established. Based on the heat data emitted by laboratory instruments B1, B2, B3, ..., Bk during operation, the comprehensive instrument heat coefficient Lec is established. Based on the wind speed and air volume data, the ventilation coefficient Vc is established. Based on the human body heat data released by laboratory personnel D1, D2, D3, ..., Dm, the comprehensive human body heat coefficient Chb is established. The temperature control coefficient Tcc is established through the outdoor environment coefficient Tec, the comprehensive instrument heat coefficient Lec, the ventilation coefficient Vc and the comprehensive human body heat coefficient Chb. The average method is used to calculate the highest average temperature and the lowest average temperature suitable for storing various reagents in the laboratory. The temperature adjustment value is calculated using the PID algorithm and adjusted accordingly to obtain the current temperature control coefficient X. The database of the data acquisition module is transmitted to the remote monitoring module through cellular network technology. The manager can monitor the data of each sensor and camera in the laboratory, as well as the current temperature control coefficient X, through dedicated software or applications. The manager can adjust the laboratory temperature using the remote control system based on the real-time monitoring data. Get the highest storage temperature of various medicines according to the medicine database and minimum temperature , t is the number of each agent, t=1, 2, 3, ..., v, use the average method to calculate the highest average temperature suitable for all agents , the formula is as follows: Where v is the total number of reagents, and the average method is used to calculate the lowest average temperature G suitable for each reagent: The corresponding calculation formula for the minimum average temperature G is as above; Use PID algorithm to calculate the temperature control value , and make intelligent adjustments to obtain the current temperature control coefficient X. The formula is as follows: in, is the proportional gain, is the integral gain, Is the differential gain, through intelligent adjustment of temperature control value , get the current temperature control coefficient X suitable for storing various medicines. The current temperature control coefficient X is the temperature of the precision air conditioning system before regulation and The harmony.

2. A laboratory temperature control monitoring method according to claim 1, characterized in that: Based on the external temperature of the laboratory and laboratory external humidity Data, establish the outdoor environment coefficient Tec, the calculation formula of the outdoor environment coefficient Tec is as follows: Where i is the sampling time number, i=1, 2, 3, ..., n, n is the number of samples, and is the weight coefficient of the external laboratory temperature and the external laboratory humidity, which is obtained using the entropy weight method.

3. A laboratory temperature control monitoring method according to claim 2, characterized in that: According to the heat emitted by the laboratory instruments B1, B2, B3, ..., Bk during operation 、 、 、……、 Data, establish the comprehensive instrument heat coefficient Lec, the formula is as follows: in, 、 、 、……、 is the weight coefficient of heat emission of instruments B1, B2, B3, ..., Bk during operation, which is obtained using the entropy weight method.

4. A laboratory temperature control monitoring method according to claim 3, characterized in that: According to the wind speed of the laboratory ventilation system and air volume Data, establish the ventilation coefficient Vc, the formula is as follows: in, and is the weight coefficient of wind speed and wind volume, which is obtained using the entropy weight method.

5. A laboratory temperature control monitoring method according to claim 4, characterized in that: According to the body heat released by the people in the laboratory D1, D2, D3, ..., Dm 、 、 、……、 Data, establish the comprehensive human body heat coefficient Chb, the formula is as follows: in, 、 、 、……、 is the weight coefficient of the human body heat released by the personnel D1, D2, D3, ..., Dm in the laboratory.

6. A laboratory temperature control monitoring method according to claim 5, characterized in that: The temperature control coefficient Tcc is established by the outdoor environment coefficient Tec, the comprehensive instrument heat coefficient Lec, the ventilation coefficient Vc and the comprehensive human body heat coefficient Chb. The formula is as follows: in, 、 、 and They are the weight coefficients of outdoor environment coefficient Tec, comprehensive instrument heat coefficient Lec, ventilation coefficient Vc and comprehensive human body heat coefficient Chb.

7. A laboratory temperature control and monitoring system, used to implement the method according to any one of claims 1 to 6, characterized in that: include: The data acquisition module collects the laboratory external temperature A1 and the laboratory external humidity A2 through temperature sensors and humidity sensors installed outside the laboratory, collects the heat b1, b2, b3, ..., bk emitted by instruments B1, B2, B3, ..., Bk during operation through thermocouple sensors installed on laboratory instruments and equipment, collects wind speed C1 and air volume C2 through thermal anemometers and air volume sensors installed on the laboratory ventilation system, and collects body heat d1, d2, d3, ..., dm released by people D1, D2, D3, ..., Dm in the laboratory through infrared thermal imaging cameras installed inside the laboratory. The data collected by the above sensors and cameras are stored in a database using Zigbee connection technology; The data processing module establishes the outdoor environment coefficient Tec based on the laboratory external temperature and humidity data, establishes the comprehensive instrument heat coefficient Lec based on the heat data emitted by laboratory instruments B1, B2, B3, ..., Bk during operation, establishes the ventilation coefficient Vc based on the wind speed and air volume data, and establishes the comprehensive human heat coefficient Chb based on the human body heat data released by laboratory personnel D1, D2, D3, ..., Dm; The intelligent adjustment module establishes the temperature control coefficient Tcc based on the outdoor environment coefficient Tec, the comprehensive instrument heat coefficient Lec, the ventilation coefficient Vc, and the comprehensive human body heat coefficient Chb. It uses the averaging method to calculate the highest and lowest average temperatures suitable for storing various laboratory reagents. It uses the PID algorithm to calculate the temperature adjustment value and makes corresponding adjustments to obtain the current temperature control coefficient X. The remote monitoring module transmits the database of the data acquisition module to the remote monitoring module through cellular network technology. Managers can monitor the data of various sensors and cameras in the laboratory, as well as the current temperature control coefficient X, through dedicated software or applications. Managers can use the remote control system to adjust the laboratory temperature based on real-time monitoring data.

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