Laboratory temperature control monitoring method and system

Abstract

The invention discloses a laboratory temperature control monitoring method and system, and relates to the technical field of laboratory temperature control monitoring, and the method comprises the steps: building an outdoor environment coefficient Tec through the external temperature and humidity data of a laboratory, building a comprehensive instrument heat coefficient Lec through the heat b1i, b2i, b3i,..., bki discharged by all instruments and equipment during working, building a ventilation coefficient Vc through the wind speed and wind quantity data, and building a comprehensive instrument heat coefficient Lec through the ventilation coefficient Vc; the method comprises the following steps: establishing a comprehensive human body heat coefficient Chb through human body heat d1i, d2i, d3i,..., dmi released by each person in a laboratory; a temperature control coefficient Tcc is established through an outdoor environment coefficient Tec, a comprehensive instrument heat coefficient Lec, a ventilation coefficient Vc and a comprehensive human body heat coefficient Chb, the highest average temperature and the lowest average temperature suitable for storage of all chemicals in a laboratory are calculated through an average method, a temperature adjustment value is calculated through a PID algorithm, corresponding adjustment is conducted, and a current temperature control coefficient X is obtained. Accurate temperature control is achieved, and the stability and safety of the laboratory environment are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of laboratory temperature control monitoring, and in particular to a laboratory temperature control 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 the 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, the existing temperature control monitoring system still does not consider the real-time changes of environmental parameters and cannot adapt to complex and changeable experimental conditions. There are problems such as low temperature control accuracy, slow response speed, and high maintenance cost. The traditional temperature control system lacks intelligent adjustment capabilities and cannot make timely adjustments according to minor changes inside and outside the laboratory. In addition, the 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 of laboratory operation.

[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 acquiring the 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 tobacco leaf drying result 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 leaf 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 issues to be solved

[0007] In view of 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 the laboratory external temperature and laboratory external humidity data, establishes a comprehensive instrument heat coefficient Lec based on the 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 the human body heat data released by personnel D1, D2, D3, ..., Dm in the laboratory; establishes a 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, calculates the highest average temperature and the lowest average temperature suitable for storing various reagents in the laboratory by using an averaging method, calculates the temperature adjustment value by using a PID algorithm, and performs corresponding adjustments to obtain a current temperature control coefficient X; 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] (II) Technical solution

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

[0010] The temperature A1 and humidity A2 outside the laboratory are collected by the temperature sensor and humidity sensor installed outside the laboratory. The heat b1, b2, b3, ..., bk emitted by the instruments B1, B2, B3, ..., Bk during operation are collected by the thermocouple sensors installed on the laboratory instruments. The wind speed C1 and the wind volume C2 are collected by installing a thermal anemometer and an air volume sensor on the laboratory ventilation system. The human body heat d1, d2, d3, ..., dm released by the personnel D1, D2, D3, ..., Dm in the laboratory is collected by installing a camera with infrared thermal imaging function inside the laboratory. The data collected by the above sensors and cameras are stored in a database using Zigbee connection technology. The Zigbee connection technology is a wireless communication protocol based on the IEEE 802.15.4 standard, which is mainly used for short-distance 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] According to the laboratory external temperature and laboratory external humidity data, the outdoor environment coefficient Tec is established. According to the heat data emitted by laboratory instruments B1, B2, B3, ..., Bk during operation, the comprehensive instrument heat coefficient Lec is established. According to the wind speed and air volume data, the ventilation coefficient Vc is established. According to the human body heat data released by the 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 the corresponding adjustment is performed to obtain the current temperature control coefficient X.

[0013] 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. 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 using the entropy weight method to calculate the weights of the laboratory external temperature and the laboratory external humidity. First, the laboratory external temperature A1 i and laboratory external humidity A2 i The data is standardized and the formula is as follows:

[0015]

[0017] 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 as follows:

[0018]

[0019] 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.

[0020] 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:

[0021]

[0022] Among them, eA1 i and eA2 i The information entropy of the external temperature and humidity of the laboratory is represented. The weights of the external temperature and humidity of the laboratory are calculated according to the information entropy. The formula is as follows:

[0023]

[0024] Among them, 1-eA1 i and 1-eA2 i They represent the mutual information of the information entropy of the laboratory external temperature and the laboratory external humidity respectively.

[0025] Furthermore, according to the weights a1 and a2 of the obtained laboratory external temperature and laboratory external humidity, the outdoor environment coefficient Tec is established:

[0026]

[0027] The calculation formula of the corresponding outdoor environment coefficient Tec is as above.

[0028] 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 to obtain b1 i '', b2 i '', b3 i '', ..., bk i '', calculate the normalized weight of heat emitted by each instrument during operation as Pb1 i 、Pb2 i 、Pb3 i ,……,Pbk i , and then calculate the information entropy eb1 of the heat emitted by each instrument when working i ,eb2 i ,eb3 i ,……,ebk i , according to the information entropy, the weights w1, w2, w3, ..., w of the heat emitted by each instrument during operation are calculatedk , use the weights to calculate the comprehensive instrument heat coefficient Lec:

[0031]

[0032] The corresponding calculation formula of the comprehensive instrument heat coefficient Lec is as above.

[0033] Furthermore, according to the wind speed C1 on the laboratory ventilation system i and air volume C2 i , and establish the ventilation coefficient Vc, and 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 C1 i '' and C2 i '', the normalized weights of wind speed and air volume are calculated as PC1 and PC2 respectively. i and PC2 i , and then calculate the information entropy of wind speed and wind volume eC1 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:

[0036]

[0037] The corresponding calculation formula for the ventilation coefficient Vc is as above.

[0038] Furthermore, according to the body heat d1 released by the personnel D1, D2, D3, ..., Dm in the laboratory i , d2 i , d3 i 、……、dm i Data, and establish the comprehensive human body heat coefficient Chb, use the entropy weight method to calculate the weight coefficient of the human body heat released by each person in the laboratory, first standardize the human body heat released by each person in the laboratory to obtain 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 , according to the information entropy, the weights σ1, σ2, σ3, ..., σ of the body heat released by each person in the laboratory are calculated m, use the weights to calculate the comprehensive human body heat coefficient Chb:

[0041]

[0042] The corresponding calculation formula of the comprehensive human body heat coefficient Chb is as above.

[0043] 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:

[0044] Tcc=β1Tec+β2Lec+β3Vc+β4Chb

[0045] 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.

[0046] 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, the average method is used to calculate the highest average temperature H suitable for all agents, the formula is as follows:

[0047]

[0048] 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:

[0049]

[0050] The calculation formula of the corresponding minimum average temperature G is as above.

[0051] Furthermore, the temperature adjustment value is calculated using the PID algorithm, and intelligent adjustment is performed to obtain the current temperature control coefficient X. The formula is as follows:

[0052]

[0053] 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.

[0054] A laboratory temperature control monitoring system, comprising:

[0055] The data acquisition module collects the temperature A1 and humidity A2 outside the laboratory through the temperature sensor and humidity sensor installed outside the laboratory, collects the heat b1, b2, b3, ..., bk emitted by the instruments and equipment B1, B2, B3, ..., Bk during operation through the thermocouple sensors installed on the laboratory instruments and equipment, collects the wind speed C1 and the air volume C2 through the thermal anemometer and air volume sensor installed on the laboratory ventilation system, collects the human body heat d1, d2, d3, ..., dm released by the personnel D1, D2, D3, ..., Dm in the laboratory through the camera with infrared thermal imaging function installed inside the laboratory, and saves the data collected by the above sensors and cameras in the database using Zigbee connection technology;

[0056] 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 the 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 the laboratory personnel D1, D2, D3, ..., Dm;

[0057] 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, uses the average method to calculate the highest average temperature and the lowest average temperature suitable for storing various reagents in the laboratory, uses the PID algorithm to calculate the temperature adjustment value, and makes corresponding adjustments to obtain the current temperature control coefficient X;

[0058] The remote monitoring module transmits the database of the data acquisition module 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 real-time monitoring data.

[0059] (III) Beneficial effects

[0060] The present invention provides a laboratory temperature control monitoring method and system, which has the following beneficial effects:

[0061] 1. The temperature A1 and humidity A2 outside the laboratory are collected through the 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 are collected through the thermocouple sensors installed on the laboratory instruments. The wind speed C1 and air volume C2 are collected by installing a thermal anemometer and air volume sensor on the laboratory ventilation system. The human body heat d1, d2, d3, ..., dm released by the personnel D1, D2, D3, ..., Dm in the laboratory is collected by installing a camera with infrared thermal imaging function inside the laboratory. The data collected by the above sensors and cameras are saved in the database using Zigbee connection technology to ensure comprehensive and real-time collection of laboratory environmental parameters, which is conducive to subsequent data processing and analysis.

[0062] 2. Based on the laboratory external temperature and laboratory external 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 the 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.

[0063] 3. 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 each laboratory medicine. The temperature adjustment value is calculated using the PID algorithm, and the corresponding adjustment is made to obtain the current temperature control coefficient X. The laboratory temperature is intelligently adjusted to ensure temperature control accuracy and meet the requirements for medicine storage.

[0064] 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.

[0065] 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

[0066] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 creative work.

[0067] Figure 1 A schematic diagram of a process flow of a laboratory temperature control monitoring method of the present invention;

[0068] Figure 2 The present invention is a schematic structural diagram of a laboratory temperature control monitoring system. DETAILED DESCRIPTION

[0069] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0070] See also Figure 1 The present invention provides a laboratory temperature control monitoring method, comprising the following steps:

[0071] The temperature A1 and humidity A2 outside the laboratory are collected by the temperature sensor and humidity sensor installed outside the laboratory. The heat b1, b2, b3, ..., bk emitted by the instruments B1, B2, B3, ..., Bk during operation are collected by the thermocouple sensors installed on the laboratory instruments. The wind speed C1 and the air volume C2 are collected by installing a thermal anemometer and an air volume sensor on the laboratory ventilation system. The human body heat d1, d2, d3, ..., dm released by the personnel D1, D2, D3, ..., Dm in the laboratory is collected by installing a camera with infrared thermal imaging function inside the laboratory. The data collected by the above sensors and cameras are stored in a database using Zigbee connection technology. The Zigbee connection technology is a wireless communication protocol based on the IEEE 802.15.4 standard, which is mainly used for short-distance 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.

[0072] Based on the laboratory external temperature A1 i and laboratory external humidity A2 iThe outdoor environment coefficient Tec is established by using the entropy weight method to calculate the weights of the laboratory external temperature and the laboratory external humidity. First, the laboratory external temperature A1 i and laboratory external humidity A2 i The data is standardized and the formula is as follows:

[0073]

[0075] 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. The formula is as follows:

[0076]

[0077]

[0078] 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.

[0079] 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:

[0080]

[0081] Among them, eA1 i and eA2 i The information entropy of the external temperature and humidity of the laboratory is represented. The weights of the external temperature and humidity of the laboratory are calculated according to the information entropy. The formula is as follows:

[0082]

[0083] Among them, 1-eA1 i and 1-eA2 i They represent the mutual information of the information entropy of the laboratory external temperature and the laboratory external humidity respectively.

[0084] According to the weights a1 and a2 of the obtained laboratory external temperature and laboratory external humidity, the outdoor environmental coefficient Tec is established:

[0085]

[0086] The calculation formula of the corresponding outdoor environment coefficient Tec is as above.

[0087] 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 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 to obtain b1 i '', b2 i '', b3 i '', ..., bk i '', calculate the normalized weight of heat emitted by each instrument during operation as Pb1 i 、Pb2 i 、Pb3 i ,……,Pbk i , and then calculate the information entropy eb1 of the heat emitted by each instrument when working i ,eb2 i ,eb3 i ,……,ebk i , according to the information entropy, the weights w1, w2, w3, ..., w of the heat emitted by each instrument during operation are calculated k , use the weights to calculate the comprehensive instrument heat coefficient Lec:

[0091]

[0092] The corresponding calculation formula for the comprehensive instrument heat coefficient Lec is as above

[0093] According to the wind speed C1 on the laboratory ventilation system i and air volume C2 i , and establish the ventilation coefficient Vc, and 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 C1 i '' and C2 i '', the normalized weights of wind speed and air volume are calculated as PC1 and PC2 respectively. i and PC2 i , and then calculate the information entropy of wind speed and wind volume eC1 i and eC2 i , the weights c1 and c2 of wind speed and air volume are calculated according to information entropy, and the ventilation coefficient Vc is calculated using the weights. The formula is as follows:

[0095]

[0096] The corresponding calculation formula for the ventilation coefficient Vc is as above.

[0097] Based on the body heat d1 released by the personnel D1, D2, D3, ..., Dm in the laboratory i , d2 i , d3 i 、……、dm i Data, and establish the comprehensive human body heat coefficient Chb, use the entropy weight method to calculate the weight coefficient of the human body heat released by each person in the laboratory, first standardize the human body heat released by each person in the laboratory to obtain 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 , according to the information entropy, the weights σ1, σ2, σ3, ..., σ of the body heat released by each person in the laboratory are calculated m , use the weight to calculate the comprehensive human body heat coefficient Chb, the formula is as follows:

[0102]

[0103] The corresponding calculation formula of the comprehensive human body heat coefficient Chb is as above.

[0104] 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 heat coefficient Chb. The formula is as follows:

[0105] Tcc=β1Tec+β2Lec+β3Vc+β4Chb

[0106] 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.

[0107] According to the medicine database, obtain the maximum temperature max stored for various medicines t and minimum temperature min t , t is the number of each agent, t = 1, 2, 3, ..., v, the average method is used to calculate the highest average temperature H suitable for all agents, the formula is as follows:

[0108]

[0109] 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:

[0110]

[0111] The calculation formula of the corresponding minimum average temperature G is as above.

[0112] The temperature adjustment value is calculated using the PID algorithm, and intelligent adjustment is performed to obtain the current temperature control coefficient X. The formula is as follows:

[0113]

[0114] 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.

[0115] 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. 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.

[0116] See also Figure 2 The present invention provides a laboratory temperature control monitoring system, comprising:

[0117] The data acquisition module collects the external temperature A1 and the external humidity A2 of the laboratory through the temperature sensor and humidity sensor installed outside the laboratory, collects the heat b1, b2, b3, ..., bk emitted by the instruments and equipment B1, B2, B3, ..., Bk during operation through the thermocouple sensors installed on the laboratory instruments and equipment, collects the wind speed C1 and the air volume C2 through the thermal anemometer and air volume sensor installed on the laboratory ventilation system, collects the human body heat d1, d2, d3, ..., dm released by the personnel D1, D2, D3, ..., Dm in the laboratory through the camera with infrared thermal imaging function installed inside the laboratory, and saves the data collected by the above sensors and cameras in the database using Zigbee connection technology.

[0118] 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 the 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 the personnel D1, D2, D3, ..., Dm in the laboratory.

[0119] 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, uses the average method to calculate the highest average temperature and the lowest average temperature suitable for storing various reagents in the laboratory, uses the PID algorithm to calculate the temperature adjustment value, and makes corresponding adjustments to obtain the current temperature control coefficient X.

[0120] The remote monitoring module transmits the database of the data acquisition module 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 real-time monitoring data.

[0121] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in 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.

[0122] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0123] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the 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.

Claims

1. A laboratory temperature control monitoring method, characterized in that: The steps include: The temperature A1 and humidity A2 outside the laboratory are collected by the temperature sensor and humidity sensor installed outside the laboratory. The heat b1, b2, b3, ..., bk emitted by the instruments B1, B2, B3, ..., Bk during operation are collected by the thermocouple sensors installed on the laboratory instruments. The wind speed C1 and the air volume C2 are collected by installing a thermal anemometer and an air volume sensor on the laboratory ventilation system. The human body heat d1, d2, d3, ..., dm released by the personnel D1, D2, D3, ..., Dm in the laboratory is collected by installing a camera with infrared thermal imaging function inside the laboratory. The data collected by the above sensors and cameras are stored in the database using Zigbee connection technology. According to the laboratory external temperature and laboratory external humidity data, the outdoor environment coefficient Tec is established. According to the heat data emitted by laboratory instruments B1, B2, B3, ..., Bk during operation, the comprehensive instrument heat coefficient Lec is established. According to the wind speed and air volume data, the ventilation coefficient Vc is established. According to the human body heat data released by the 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 the corresponding adjustment is performed 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. 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.

2. A laboratory temperature control monitoring method according to claim 1, characterized in that: Based on the laboratory external temperature A1 i and laboratory external humidity A2 i Data, establish the outdoor environment coefficient Tec, the calculation formula of the outdoor environment coefficient Tec is as follows: Wherein, i is the sampling time number, i = 1, 2, 3, ..., n, n is the number of samples, a1 and a2 are the weight coefficients of the external temperature and humidity of the laboratory, which are obtained using the entropy weight method.

3. A method according to claim 1, characterized in that: According to the heat b1 emitted by the laboratory equipment B1, B2, B3, ..., Bk during operation i 、b2 i 、b3 i 、……、bk i Data, establish the comprehensive instrument heat coefficient Lec, the formula is as follows: Among them, w1, w2, w3, ..., w k is the weight coefficient of heat emission of instruments B1, B2, B3, ..., Bk during operation, which is obtained by using the entropy weight method.

4. A laboratory temperature control monitoring method according to claim 1, characterized in that: According to the wind speed C1 on the laboratory ventilation system i and air volume C2 i Data, establish the ventilation coefficient Vc, the formula is as follows: Among them, c1 and c2 are the weight coefficients of wind speed and wind volume, which are obtained using the entropy weight method.

5. A laboratory temperature control monitoring method according to claim 1, characterized in that: According to the personnel D1, D2, D3, ..., Dm in the laboratory, the human body heat released is d1 i , d2 i , d3 i 、……、dm i Data, establish the comprehensive human body heat coefficient Chb, the formula is as follows: Among them, σ1, σ2, σ3,…,σ m It is the weight coefficient of 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 through the outdoor environment coefficient Tec, the comprehensive instrument heat coefficient Lec, the ventilation coefficient Vc and the comprehensive human heat coefficient Chb. The formula is as follows: Tcc=β1Tec+β2Lec+β3Vc+β4Chb 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.

7. A laboratory temperature control monitoring method according to claim 6, characterized in that: According to the medicine database, obtain the maximum temperature max stored for various medicines t and minimum temperature min t , t is the number of each agent, t = 1, 2, 3, ..., v, the average method is used to calculate the highest average temperature H 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 calculation formula of the corresponding minimum average temperature G is as above.

8. A laboratory temperature control monitoring method according to claim 7, characterized in that: The temperature adjustment value ΔT is calculated using the PID algorithm, and intelligent adjustment is performed to obtain the current temperature control coefficient X. The formula is as follows: 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 the storage of various medicines is obtained. The current temperature control coefficient X is the sum of the temperature on the precision air-conditioning system before regulation and ΔT.

9. A laboratory temperature control monitoring system, used to implement the method according to any one of claims 1 to 8, characterized in that: include: The data acquisition module collects the temperature A1 and humidity A2 outside the laboratory through the temperature sensor and humidity sensor installed outside the laboratory, collects the heat b1, b2, b3, ..., bk emitted by the instruments and equipment B1, B2, B3, ..., Bk during operation through the thermocouple sensors installed on the laboratory instruments and equipment, collects the wind speed C1 and the air volume C2 through the thermal anemometer and air volume sensor installed on the laboratory ventilation system, collects the human body heat d1, d2, d3, ..., dm released by the personnel D1, D2, D3, ..., Dm in the laboratory through the camera with infrared thermal imaging function installed inside the laboratory, and saves the data collected by the above sensors and cameras in the database using Zigbee connection technology; 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 the 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 the laboratory personnel D1, D2, D3, ..., Dm; 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, uses the average method to calculate the highest average temperature and the lowest average temperature suitable for storing various reagents in the laboratory, 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. 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 real-time monitoring data.

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