A method and system for controlling constant temperature of heating plate based on artificial intelligence

Abstract

The present invention discloses a heating plate constant temperature control system and method based on artificial intelligence, which is used to control and calibrate the heating temperature of a microfluidic chip, including: a temperature measurement component coupled to the microfluidic chip to collect temperature data of the microfluidic chip; a calibration component, which is used to transfer heat to the microfluidic chip so that the microfluidic chip has at least two different real-time temperatures, wherein the calibration component can calibrate the heating temperature of the microfluidic chip based on the temperature data and the different real-time temperatures. This application can realize a complete set of solutions for instrument measurement systems: standardizing temperature tooling calibration methods, clarifying the manufacturing process of temperature measurement tooling, ensuring the accuracy of temperature measurement of the instrument, and the traceability of the entire process.

Description

Technical Field

[0001] The present invention relates to the technical field of microfluidic chips, and in particular to a method and system for controlling the constant temperature of a heating plate based on artificial intelligence. Background Art

[0002] Microfluidic chip is a hot area in the development of Miniaturized Total Analysis Systems, and is an important direction and cutting-edge technology for the development of analytical instruments. Microfluidic chip analysis technology uses chips as an operating platform, analytical chemistry as a foundation, micro-electromechanical processing technology as a support, micro-channel networks as structural features, life sciences as the main application object, and controllable microfluidics throughout the entire system to complete various biological and chemical processes. It is a technology that is currently the focus of the development of the field of micro-total analysis systems and has broad application prospects in the field of analysis and detection.

[0003] In addition, the microfluidic chip needs to be kept at a constant temperature during use, and how to ensure the accuracy of its heating temperature is also an urgent problem to be solved. Therefore, the present application can also provide a method and system for controlling the constant temperature of a heating plate based on artificial intelligence. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a heating plate constant temperature control method and system based on artificial intelligence.

[0005] The objective of the present invention is achieved through the following technical solutions: a heating plate constant temperature control system based on artificial intelligence, used to control and calibrate the heating temperature of a microfluidic chip, comprising: a temperature measurement component coupled to the microfluidic chip to collect temperature data of the microfluidic chip; a calibration component, used to transfer heat to the microfluidic chip so that the microfluidic chip has at least two real-time temperatures that are different from each other, wherein the calibration component can calibrate the heating temperature of the microfluidic chip based on the temperature data and the different real-time temperatures.

[0006] Preferably, the calibration component includes a base plate, an oil tank and a heating tank arranged on the base plate, and the microfluidic chip can be placed in the heating tank, wherein the heating tank (19b) is used to simulate the heating method of the microfluidic chip (100) in the instrument, and the microfluidic chip (100) is placed in the heating tank (19b). By controlling the temperature of the heating tank (19b), heat is transferred to the microfluidic chip (100) along the heating tank (19b), thereby enabling the microfluidic chips to have different real-time temperatures from each other.

[0007] Preferably, the temperature measurement component comprises a metal shell and a temperature probe, the temperature probe can be arranged in the metal shell, and the metal shell can be arranged on the microfluidic chip.

[0008] Preferably, the calibration component is configured to calibrate the heating temperature of the microfluidic chip according to the following steps: S1, placing the base plate, the heating tank, and the temperature measurement component together into an oil tank, and injecting oil into the oil tank so that the oil can be in contact with the base plate and the heating tank at the same time; S2, heating the oil tank temperature to a first set temperature, and after the oil tank temperature stabilizes at the first set temperature, obtaining a first real-time temperature of the temperature measurement component through a data recorder; S3, heating the oil tank temperature to a second set temperature, and after the oil tank temperature stabilizes at the second set temperature, obtaining a second real-time temperature of the temperature measurement component through a data recorder.

[0009] Preferably, the calibration component is also configured to calibrate the heating temperature of the microfluidic chip according to the following steps: S4, linearly fit the first real-time temperature and the second real-time temperature to obtain coefficients a and b, and calibrate the temperature measurement component by the formula y=ax+b, wherein y is the calibrated temperature and x is the actual measured temperature value; S5, heat the oil tank temperature to a third set temperature, and after the oil tank temperature stabilizes at the third set temperature, obtain the third real-time temperature of the temperature measurement component through a data recorder, so that the difference between the third real-time temperature and the third set temperature is less than 0.1°C.

[0010] Preferably, the temperature measurement component is installed in the microfluidic chip according to the following steps: a plurality of wire grooves are provided on the microfluidic chip for placing the probe lead wires of the temperature probe; thermal conductive silicone grease is coated on the microfluidic chip, the temperature probe is buried in the metal shell, and thermal conductive silicone grease is coated on the metal shell; the microfluidic chip and the temperature measurement component are bonded.

[0011] The present application also provides a method for controlling the constant temperature of a heating plate based on artificial intelligence, which is characterized in that it includes the following steps: configuring a temperature measurement component coupled to the microfluidic chip to collect temperature data of the microfluidic chip; configuring a calibration component for transferring heat to the microfluidic chip so that the microfluidic chip has at least two real-time temperatures that are different from each other, wherein the calibration component can calibrate the heating temperature of the microfluidic chip based on the temperature data and the different real-time temperatures.

[0012] Preferably, the calibration component includes a base plate, an oil tank and a heating tank arranged on the base plate, and the microfluidic chip can be placed in the heating tank, wherein the heating tank (19b) is used to simulate the heating method of the microfluidic chip (100) in the instrument, and the microfluidic chip (100) is placed in the heating tank (19b). By controlling the temperature of the heating tank (19b), heat is transferred to the microfluidic chip (100) along the heating tank (19b), thereby enabling the microfluidic chips to have different real-time temperatures from each other.

[0013] Preferably, the calibration component is configured to calibrate the heating temperature of the microfluidic chip according to the following steps: S1, place the bottom plate, the heating tank, and the temperature measurement component together into an oil tank, and inject oil into the oil tank so that the oil can be in contact with the bottom plate and the heating tank at the same time; S2, heat the oil tank temperature to a first set temperature, and after the oil tank temperature stabilizes at the first set temperature, obtain the first real-time temperature of the temperature measurement component through a data recorder; S3, heat the oil tank temperature to a second set temperature, and after the oil tank temperature stabilizes at the second set temperature, obtain the second real-time temperature of the temperature measurement component through a data recorder; S4, perform linear fitting on the first real-time temperature and the second real-time temperature to obtain coefficients a and b, and calibrate the temperature measurement component through the formula y=ax+b, wherein y is the calibrated temperature and x is the actual measured temperature value; S5, heat the oil tank temperature to a third set temperature, and after the oil tank temperature stabilizes at the third set temperature, obtain the third real-time temperature of the temperature measurement component through a data recorder, so that the difference between the third real-time temperature and the third set temperature is less than 0.1°C.

[0014] The present invention has the following advantages:

[0015] (1) The present invention implements a complete solution for the instrument measurement system: standardizing the temperature tool calibration method, clarifying the manufacturing process of the temperature measurement tool, ensuring the accuracy of the temperature measurement of the instrument, and the traceability of the entire process.

[0016] (2) The manufacture of the temperature measurement component of the present application is to simulate the actual use of the microfluidic chip, and the temperature measurement component can reflect the actual temperature of the microfluidic chip during the actual working process. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a schematic diagram of the structure of the calibration component;

[0018] Figure 2 It is a structural schematic diagram of a constant temperature control system for a heating plate based on artificial intelligence;

[0019] Figure 3 Schematic diagram of the setting method of the temperature measurement component.

[0020] In the figure, 15-wire trough, 16-metal shell, 17-temperature probe, 18-temperature measurement component, 19-calibration component, 19a-base plate, 19b-heating tank, 19c-positioning pin, 19d-support frame, 20-oil tank, 100-microfluidic chip. DETAILED DESCRIPTION

[0021] The present invention is further described below in conjunction with the accompanying drawings, and the protection scope of the present invention is not limited to the following:

[0022] like Figures 1 to 3 As shown, the present application provides a heating plate constant temperature control system based on artificial intelligence, which can be used to control the heating of a microfluidic chip 100. It includes a temperature measurement component 18 and a calibration component 19. The temperature measurement component 18 is coupled to the microfluidic chip 100 to collect the temperature data of the microfluidic chip 100. The calibration component 19 is used to transfer heat to the microfluidic chip 100 so that the microfluidic chip 100 has at least two real-time temperatures different from each other, wherein the calibration component 19 can calibrate the heating temperature of the microfluidic chip 100 based on the temperature data and the different real-time temperatures. Specifically, the temperature measurement component 18 includes a metal shell 16 and a temperature probe 17. A plurality of wire grooves 15 are provided on the flow channel layer. The wire groove 15 maintains a one-to-one connection with the detection pool. A metal shell 16 is buried in the detection pool, and a temperature probe 17 is nested in the metal shell 16. The wire of the temperature probe 17 can be led out of the flow channel layer through the wire groove 15. The temperature conduction effect between the metal shell and the flow channel layer can be increased by applying thermal grease in the detection pool. After the metal shell is placed in the detection pool, it can be bonded by a bonding machine. The temperature probe can be used to collect the temperature of the microfluidic chip during actual operation.

[0023] Preferably, Figure 1As shown, the artificial intelligence-based constant temperature control system for the heating plate of the present application also includes a calibration component 19. The calibration component 19 is used to adjust the temperature measurement component 18 to improve the measurement accuracy of the temperature measurement component 18. The calibration component 19 includes a base plate 19a, a heating groove 19b and a positioning pin 19c. The heating groove 19a is detachably arranged on the base plate 19a. For example, the heating groove 19a can be fixed to the base plate 19a by screws. The heating groove 19a can be hollow cylindrical. Three positioning screws 19c can be arranged in the heating groove 19a. The base plate and the heating groove can be made of metals with good thermal conductivity, such as copper. When in use, after the microfluidic chip 100 is placed in the heating groove 19a as a whole, the heating of the microfluidic chip can be achieved by heating the base plate and / or the heating groove, thereby achieving the temperature environment conditions of the simulated microfluidic chip in use state. The heating groove 19b is used to simulate the heating method of the microfluidic chip 100 when using the instrument. The microfluidic chip 100 is placed in the heating groove 19b. By controlling the temperature of the heating groove 19b, the heat is transferred to the microfluidic chip 100 along the heating groove 19b, so that the microfluidic chip 100 can have different real-time temperatures from each other.

[0024] Preferably, the calibration component 19 also includes a support frame 19d. When in use, the support frame 19d can be placed in the oil tank 20. The oil tank 20 can be filled with oil with heat conductivity, such as mineral oil. The oil can completely cover the bottom plate 19a and partially cover the heating tank, so that the oil can be in contact with the bottom plate and the heating tank at the same time. After heating the oil, the heat can be gradually transferred to the temperature measurement component 18. Specifically, the calibration component calibrates the heating temperature of the microfluidic chip 100 according to the calibration method: S1, assemble the bottom plate 19a, that is, the heating tank 19b, put the temperature measurement component 18 into the heating tank 19b, put the bottom plate, the heating tank, and the temperature measurement component into the oil tank 20 together, and inject oil into the oil tank so that the oil can be in contact with the bottom plate and the heating tank at the same time. S2, heat the oil tank temperature to the first set temperature, and after the oil tank temperature stabilizes at the first set temperature, obtain the first real-time temperature of the temperature measurement component 18 through the data recorder. S3, heat the oil tank temperature to the second set temperature, and after the oil tank temperature stabilizes at the second set temperature, obtain the second real-time temperature of the temperature measurement component 18 through the data recorder. S4, linearly fit the first real-time temperature and the second real-time temperature to obtain coefficients a and b, and calibrate the temperature measurement component through the formula y=ax+b, where y is the calibrated temperature and x is the actual measured temperature value. For example, the first real-time temperature t1 and the second real-time temperature t2, the first calibration temperature and T1 and the second calibration temperature T2. The following two groups of functions are obtained: T1=a*t1+b, T2=a*t2+b, and the values ​​of coefficients a and b can be obtained based on the above two groups of functions. S5, heat the oil tank temperature to the third set temperature, and after the oil tank temperature stabilizes at the third set temperature, obtain the third real-time temperature of the temperature measurement component 18 through the data recorder, and when the difference between the third real-time temperature and the third set temperature is less than 0.1°C, it indicates that the calibration of the microfluidic chip is completed.

[0025] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A heating plate constant temperature control system based on artificial intelligence, used to control and calibrate the heating temperature of a microfluidic chip (100), characterized in that: include: A temperature measurement component (18), coupled to the microfluidic chip (100), for collecting temperature data of the microfluidic chip (100); A calibration component (19) for transferring heat to the microfluidic chip (100) so that the microfluidic chip (100) has at least two different real-time temperatures, wherein the calibration component (19) is capable of calibrating the heating temperature of the microfluidic chip (100) based on the temperature data and the different real-time temperatures; The calibration component (19) comprises a base plate (19a), an oil tank (20) and a heating tank (19b) arranged on the base plate (19a); the microfluidic chip (100) can be placed in the heating tank (19b); wherein the heating tank (19b) is used to simulate the heating method of the microfluidic chip (100) in the instrument; the microfluidic chip (100) is placed in the heating tank (19b); by controlling the temperature of the heating tank (19b), heat is transferred to the microfluidic chip (100) along the heating tank (19b), thereby enabling the microfluidic chip (100) to have different real-time temperatures from each other; the calibration component (19) is configured to calibrate the heating temperature of the microfluidic chip (100) according to the following steps: S1, placing the bottom plate, the heating tank, and the temperature measuring assembly together into an oil tank, and injecting oil into the oil tank so that the oil can abut against and contact the bottom plate and the heating tank at the same time; S2, heating the oil tank temperature to a first set temperature, and after the oil tank temperature stabilizes at the first set temperature, obtaining a first real-time temperature of the temperature measurement component through a data recorder; S3, heating the oil tank temperature to a second set temperature, and after the oil tank temperature stabilizes at the second set temperature, obtaining a second real-time temperature of the temperature measurement component through a data recorder; S4, performing linear fitting on the first real-time temperature and the second real-time temperature to obtain coefficients a and b, and calibrating the temperature measurement component by using the formula y=ax+b, wherein y is the calibrated temperature and x is the actually measured temperature value; S5, heating the oil tank temperature to a third set temperature, and after the oil tank temperature stabilizes at the third set temperature, obtaining a third real-time temperature of the temperature measurement component through a data recorder, so that the difference between the third real-time temperature and the third set temperature is less than 0.1°C; The temperature measurement component (18) comprises a metal shell (16) and a temperature probe (17); the temperature probe (17) can be arranged in the metal shell (16); and the metal shell (16) can be arranged on the microfluidic chip (100); The temperature measurement component (18) is installed in the microfluidic chip (100) according to the following steps: A plurality of wire grooves (15) are provided on the microfluidic chip (100) for placing probe lead wires of a temperature probe (17); Coating thermally conductive silicone grease on the microfluidic chip (100), embedding the temperature probe (17) in the metal shell (16), and coating thermally conductive silicone grease on the metal shell (16); The microfluidic chip and the temperature measurement component are bonded together.

2. A method for controlling the constant temperature of a heating plate based on artificial intelligence, characterized in that: The steps include: A temperature measurement component (18) coupled to the microfluidic chip (100) is configured to collect temperature data of the microfluidic chip (100); A calibration component (19) is configured to transfer heat to the microfluidic chip (100) so that the microfluidic chip (100) has at least two different real-time temperatures, wherein the calibration component (19) is capable of calibrating the heating temperature of the microfluidic chip (100) based on the temperature data and the different real-time temperatures; The calibration component (19) comprises a base plate (19a), an oil tank (20) and a heating tank (19b) arranged on the base plate (19a), wherein the microfluidic chip (100) can be placed in the heating tank (19b), wherein the heating tank (19b) is used to simulate the heating method of the microfluidic chip (100) in the instrument, and the microfluidic chip (100) is placed in the heating tank (19b), and by controlling the temperature of the heating tank (19b), heat is transferred to the microfluidic chip (100) along the heating tank (19b), thereby enabling the microfluidic chips (100) to have different real-time temperatures from each other; The calibration component (19) is configured to calibrate the heating temperature of the microfluidic chip (100) according to the following steps: S1, placing the bottom plate, the heating tank, and the temperature measuring assembly together into an oil tank, and injecting oil into the oil tank so that the oil can abut against and contact the bottom plate and the heating tank at the same time; S2, heating the oil tank temperature to a first set temperature, and after the oil tank temperature stabilizes at the first set temperature, obtaining a first real-time temperature of the temperature measurement component through a data recorder; S3, heating the oil tank temperature to a second set temperature, and after the oil tank temperature stabilizes at the second set temperature, obtaining a second real-time temperature of the temperature measurement component through a data recorder; S4, performing linear fitting on the first real-time temperature and the second real-time temperature to obtain coefficients a and b, and calibrating the temperature measurement component by using the formula y=ax+b, wherein y is the calibrated temperature and x is the actually measured temperature value; S5, heating the oil tank temperature to a third set temperature, and after the oil tank temperature stabilizes at the third set temperature, obtaining a third real-time temperature of the temperature measurement component through a data recorder, so that the difference between the third real-time temperature and the third set temperature is less than 0.1°C.

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