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CN115951734B - A heating plate constant temperature control method and system based on artificial intelligence - Google Patents

A heating plate constant temperature control method and system based on artificial intelligence Download PDF

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Publication number
CN115951734B
CN115951734B CN202211709495.6A CN202211709495A CN115951734B CN 115951734 B CN115951734 B CN 115951734B CN 202211709495 A CN202211709495 A CN 202211709495A CN 115951734 B CN115951734 B CN 115951734B
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temperature
heating
microfluidic chip
real
groove
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CN115951734A (en
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薛志雄
柳涛
吴三喜
吴梦玲
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Guangzhou Deaou Medical Diagnosis Co ltd
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Guangzhou Deaou Medical Diagnosis Co ltd
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Abstract

本发明公开了一种基于人工智能的加热板恒温控制系统及方法,用于对微流控芯片的加热温度进行控制及校准,包括:温度测量组件,耦合至所述微流控芯片,以对微流控芯片的温度数据进行采集;校准组件,用于将热量传递至微流控芯片,以使得微流控芯片具有至少两个彼此不同的实时温度,其中,所述校准组件能够基于所述温度数据和所述不同的实时温度对微流控芯片的加热温度进行校准。本申请能够实现实现仪器测量系统的一整套解决方案:标准化温度工装校准方法,明确温度测量工装的制作工艺,保证仪器的温度测量的准确性,及整个过程的可追溯性。

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

Heating plate constant temperature control method and system based on artificial intelligence
Technical Field
The invention relates to the technical field of microfluidic chips, in particular to a heating plate constant temperature control method and system based on artificial intelligence.
Background
The microfluidic chip (microfluidic chip) is a hot spot field of development of the current micro total analysis system (Miniaturized Total ANALYSIS SYSTEMS), and is an important direction and leading edge technical field of development of analysis instruments. The microfluidic chip analysis technology uses a chip as an operation platform, simultaneously uses analysis chemistry as a basis, relies on a micro-electromechanical processing technology, uses a micro-pipeline network as a structural feature, uses life science as a main application object at present, uses controllable microfluid to penetrate through the whole system and complete various biological and chemical processes, is an important point of development in the field of the current micro-total analysis system, and has wide application prospect in the field of analysis and detection.
In addition, how to ensure the accuracy of the heating temperature of the microfluidic chip is also a problem to be solved when the microfluidic chip needs to be kept in a constant temperature state during the use process. Therefore, the application also provides a heating plate constant temperature control method and a heating plate constant temperature control system based on artificial intelligence.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a heating plate constant temperature control method and system based on artificial intelligence.
The heating plate constant temperature control system based on artificial intelligence is used for controlling and calibrating the heating temperature of a micro-fluidic chip and comprises a temperature measurement assembly and a calibration assembly, wherein the temperature measurement assembly is coupled to the micro-fluidic chip to collect temperature data of the micro-fluidic chip, and the calibration assembly is used for transmitting heat to the micro-fluidic chip so that the micro-fluidic chip has at least two real-time temperatures different from each other, and the calibration assembly can calibrate the heating temperature of the micro-fluidic chip based on the temperature data and the different real-time temperatures.
Preferably, the calibration assembly comprises a bottom plate, an oil groove and a heating groove arranged on the bottom plate, wherein the microfluidic chip can be placed in the heating groove, the heating groove (19 b) is used for simulating a heating mode of the microfluidic chip (100) in a using instrument, the microfluidic chip (100) is placed in the heating groove (19 b), and heat is transmitted to the microfluidic chip (100) along the heating groove (19 b) by controlling the temperature of the heating groove (19 b), so that the microfluidic chip can have real-time temperatures different from each other.
Preferably, the temperature measurement assembly comprises a metal shell and a temperature probe, wherein the temperature probe can be arranged in the metal shell, and the metal shell can be arranged on the microfluidic chip.
Preferably, the calibration assembly is configured to calibrate the heating temperature of the microfluidic chip according to the following steps of S1, placing the bottom plate, the heating tank and the temperature measurement assembly into an oil tank together, injecting oil into the oil tank so that the oil can be in abutting contact with the bottom plate and the heating tank at the same time, S2, heating the oil tank to a first set temperature, acquiring the first real-time temperature of the temperature measurement assembly through a data recorder after the oil tank temperature is stabilized at the first set temperature, and S3, heating the oil tank to a second set temperature, and acquiring the second real-time temperature of the temperature measurement assembly through the data recorder after the oil tank temperature is stabilized at the second set temperature.
Preferably, the calibration assembly is further configured to calibrate the heating temperature of the microfluidic chip according to the following steps of S4, linearly fitting the first real-time temperature and the second real-time temperature to obtain coefficients a and b, calibrating the temperature measurement assembly through a formula y=ax+b, wherein y is the calibrated temperature, x is an actually measured temperature value, S5, heating the oil tank temperature to a third set temperature, and after the oil tank temperature is stabilized at the third set temperature, obtaining the third real-time temperature of the temperature measurement assembly through the data recorder, so that a difference value between the third real-time temperature and the third set temperature is smaller than 0.1 ℃.
Preferably, the temperature measuring assembly is arranged in the micro-fluidic chip according to the following steps that a plurality of wire grooves are formed in the micro-fluidic chip and used for placing probe outgoing wires of a temperature probe, heat conduction silicone fat is coated on the micro-fluidic chip, the temperature probe is embedded into the metal shell, heat conduction silicone fat is coated on the metal shell, and bonding treatment is carried out on the micro-fluidic chip and the temperature measuring assembly.
The application also provides a heating plate constant temperature control method based on artificial intelligence, which is characterized by comprising the steps of configuring a temperature measurement assembly coupled to the micro-fluidic chip to collect temperature data of the micro-fluidic chip, and configuring a calibration assembly for transmitting heat to the micro-fluidic chip so that the micro-fluidic chip has at least two real-time temperatures different from each other, wherein the calibration assembly can calibrate the heating temperature of the micro-fluidic chip based on the temperature data and the different real-time temperatures.
Preferably, the calibration assembly comprises a bottom plate, an oil groove and a heating groove arranged on the bottom plate, wherein the microfluidic chip can be placed in the heating groove, the heating groove (19 b) is used for simulating a heating mode of the microfluidic chip (100) in a using instrument, the microfluidic chip (100) is placed in the heating groove (19 b), and heat is transmitted to the microfluidic chip (100) along the heating groove (19 b) by controlling the temperature of the heating groove (19 b), so that the microfluidic chip can have real-time temperatures different from each other.
Preferably, the calibration assembly is configured to calibrate the heating temperature of the microfluidic chip according to the following steps of S1, placing the bottom plate, the heating tank and the temperature measurement assembly into the oil tank together, injecting oil into the oil tank so that the oil can be in abutting contact with the bottom plate and the heating tank at the same time, S2, heating the oil tank to a first set temperature, after the oil tank temperature is stabilized at the first set temperature, obtaining the first real-time temperature of the temperature measurement assembly through the data recorder, S3, heating the oil tank to a second set temperature, after the oil tank temperature is stabilized at the second set temperature, obtaining the second real-time temperature of the temperature measurement assembly through the data recorder, S4, linearly fitting the first real-time temperature and the second real-time temperature to obtain coefficients a and b, calibrating the temperature measurement assembly through a formula y=ax+b, wherein y is the calibrated temperature, x is an actually measured temperature value, S5, heating the oil tank temperature to a third set temperature, after the oil tank temperature is stabilized at the third set temperature, obtaining the third real-time temperature of the temperature measurement assembly through the data recorder, and enabling a difference between the third real-time temperature and the third real-time temperature to be smaller than 1 ℃.
The invention has the following advantages:
(1) The invention realizes a whole set of solutions of an instrument measurement system, namely a standardized temperature tool calibration method, a clear manufacturing process of a temperature measurement tool, and ensures the accuracy of temperature measurement of the instrument and the traceability of the whole process.
(2) The temperature measuring assembly is manufactured in a mode of simulating the use mode of an actual micro-fluidic chip, and can reflect the actual temperature of the micro-fluidic chip in the actual working process.
Drawings
FIG. 1 is a schematic diagram of a calibration assembly;
FIG. 2 is a schematic diagram of an artificial intelligence based heater plate thermostat control system;
FIG. 3 is a schematic diagram of an arrangement of a temperature measuring assembly.
In the figure, 15-wire grooves, 16-metal shells, 17-temperature probes, 18-temperature measuring assemblies, 19-calibration assemblies, 19 a-bottom plates, 19 b-heating grooves, 19 c-positioning pins, 19 d-supporting frames, 20-oil grooves and 100-microfluidic chips are shown.
Detailed Description
The invention is further described below with reference to the accompanying drawings, the scope of the invention not being limited to the following:
As shown in fig. 1 to 3, the present application provides an artificial intelligence-based heating plate thermostatic control system, which can be used for heating control of a microfluidic chip 100. Including a temperature measurement assembly 18 and a calibration assembly 19. The temperature measurement assembly 18 is coupled to the microfluidic chip 100 to collect temperature data of the microfluidic chip 100. The calibration assembly 19 is used to transfer heat to the microfluidic chip 100 such that the microfluidic chip 100 has at least two real-time temperatures that are different from each other, wherein the calibration assembly 19 is capable of calibrating the heating temperature of the microfluidic chip 100 based on the temperature data and the different real-time temperatures. Specifically, the temperature measurement assembly 18 includes a metal shell 16 and a temperature probe 17. A plurality of wire grooves 15 are arranged on the runner layer. The wire grooves 15 are in one-to-one communication with the detection cells. The detection pool is embedded with a metal shell 16, and a temperature probe 17 is nested in the metal shell 16. The wires of the temperature probe 17 can be led out of the flow channel layer through the wire grooves 15. The temperature conduction effect of the metal shell and the runner layer can be increased in the detection tank by smearing heat conduction silicone grease. After the metal shell is placed in the detection tank, bonding treatment can be performed through a bonding machine. The temperature probe can be used for collecting the temperature of the microfluidic chip in the actual working process.
Preferably, as shown in FIG. 1, the artificial intelligence based heating plate thermostatic control system of the present application further includes a calibration assembly 19. The calibration assembly 19 is used for calibrating the temperature measuring assembly 18 to improve the measurement accuracy of the temperature measuring assembly 18. The alignment assembly 19 includes a base plate 19a, a heating slot 19b, and a locating pin 19c. The heating groove 19a is detachably arranged on the bottom plate 19a, for example, the heating groove 19a can be fixed on the bottom plate 19a through screws, the heating groove 19a can be hollow cylindrical, three positioning screws 19c can be arranged in the heating groove 19a, the bottom plate and the heating groove can be made of metal with good thermal conductivity, such as copper, and the like, when the micro-fluidic chip 100 is used, after the micro-fluidic chip 100 is integrally placed in the heating groove 19a, the heating of the micro-fluidic chip can be realized through heating the bottom plate and/or the heating groove, so that the temperature environment condition under the use state of the micro-fluidic chip is simulated. The heating groove 19b is used for simulating a heating mode of the microfluidic chip 100 in a use instrument, the microfluidic chip 100 is placed in the heating groove 19b, and heat is transmitted to the microfluidic chip 100 along the heating groove 19b by controlling the temperature of the heating groove 19b, so that the microfluidic chip 100 can have real-time temperatures different from each other.
Preferably, the calibration assembly 19 further comprises a support 19d, which support 19d is adapted to be placed in the oil sump 20 in use. The oil tank 20 may be filled with oil having heat conductive ability such as mineral oil. The oil can completely submerge the bottom plate 19a and can partially submerge the heating tank, so that the oil can be simultaneously abutted and melted with the bottom plate and the heating tank, and heat can be gradually transferred to the temperature measuring assembly 18 after the oil is heated. Specifically, the calibration component calibrates the heating temperature of the microfluidic chip 100 according to the calibration mode, namely, S1, the bottom plate 19a, namely, the heating groove 19b is assembled, the temperature measurement component 18 is placed in the heating groove 19b, the bottom plate, the heating groove and the temperature measurement component are placed in the oil groove 20 together, and oil is injected into the oil groove, so that the oil can be simultaneously abutted and contacted with the bottom plate and the heating groove. S2, heating the oil groove temperature to a first set temperature, and acquiring a first real-time temperature of the temperature measuring assembly 18 through a data recorder after the oil groove temperature is stabilized at the first set temperature. And S3, heating the oil groove temperature to a second set temperature, and acquiring a second real-time temperature of the temperature measuring assembly 18 through a data recorder after the oil groove temperature is stabilized at the second set temperature. And 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 assembly through a formula y=ax+b, wherein y is the calibrated temperature, and x is an actually measured temperature value. For example, a first real-time temperature T1 and a second real-time temperature T2, a first calibration temperature and a T1 second calibration temperature T2. Two sets of functions are obtained, t1=at1+b, t2=at2+b, from which the values of the coefficients a and b can be found. And S5, heating the oil groove temperature to a third set temperature, acquiring a third real-time temperature of the temperature measurement assembly 18 through a data recorder after the oil groove temperature is stabilized at the third set temperature, and indicating that the calibration of the microfluidic chip is finished when the difference between the third real-time temperature and the third set temperature is smaller than 0.1 ℃.
It should be noted that the above-mentioned embodiments are merely preferred embodiments of the present invention, and the present invention is not limited thereto, but may be modified or substituted for some of the technical features thereof by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (2)

1. A heating plate constant temperature control system based on artificial intelligence for controlling and calibrating a heating temperature of a microfluidic chip (100), comprising:
A temperature measurement assembly (18) coupled to the microfluidic chip (100) to collect temperature data of the microfluidic chip (100);
-a calibration assembly (19) for transferring heat to the microfluidic chip (100) such that the microfluidic chip (100) has at least two real-time temperatures different from each other, wherein the calibration assembly (19) is capable of calibrating a heating temperature of the microfluidic chip (100) based on the temperature data and the different real-time temperatures;
The calibration assembly (19) comprises a bottom plate (19 a), an oil groove (20) and a heating groove (19 b) arranged on the bottom plate (19 a), wherein the microfluidic chip (100) can be placed in the heating groove (19 b), the heating groove (19 b) is used for simulating a heating mode of the microfluidic chip (100) in a use instrument, the microfluidic chip (100) is placed in the heating groove (19 b), heat is transmitted to the microfluidic chip (100) along the heating groove (19 b) by controlling the temperature of the heating groove (19 b), and the microfluidic chip (100) can have real-time temperatures different from each other, and the calibration assembly (19) is configured to calibrate the heating temperature of the microfluidic chip (100) according to the following steps:
S1, putting a bottom plate, a heating tank and a temperature measuring assembly together into an oil tank, and injecting oil into the oil tank so that the oil can be simultaneously in abutting contact with the bottom plate and the heating tank;
s2, heating the oil groove temperature to a first set temperature, and acquiring a first real-time temperature of a temperature measurement assembly through a data recorder after the oil groove temperature is stabilized at the first set temperature;
S3, heating the oil groove temperature to a second set temperature, and acquiring a second real-time temperature of the temperature measurement assembly through a data recorder after the oil groove temperature is stabilized at the second set temperature;
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 assembly through a formula y=ax+b, wherein y is the calibrated temperature, and x is an actually measured temperature value;
S5, heating the oil groove temperature to a third set temperature, and acquiring a third real-time temperature of the temperature measurement assembly through a data recorder after the oil groove temperature is stabilized at the third set temperature, so that the difference between the third real-time temperature and the third set temperature is smaller than 0.1 ℃;
The temperature measurement assembly (18) comprises a metal shell (16) and a temperature probe (17), wherein 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 assembly (18) is mounted within the microfluidic chip (100) as follows:
A plurality of wire grooves (15) are arranged on the micro-fluidic chip (100) and are used for placing probe outgoing wires of a temperature probe (17);
coating heat conduction silicone grease on a microfluidic chip (100), embedding the temperature probe (17) into the metal shell (16), and coating heat conduction silicone grease on the metal shell (16);
And bonding the microfluidic chip and the temperature measurement component.
2. The heating plate constant temperature control method based on artificial intelligence is characterized by comprising the following steps:
configuring a temperature measurement assembly (18) coupled to the microfluidic chip (100) to acquire temperature data of the microfluidic chip (100);
-configuring a calibration assembly (19) for transferring heat to the microfluidic chip (100) such that the microfluidic chip (100) has at least two real-time temperatures different from each other, wherein the calibration assembly (19) is capable of calibrating a heating temperature of the microfluidic chip (100) based on the temperature data and the different real-time temperatures;
The calibration assembly (19) comprises a bottom plate (19 a), an oil groove (20) and a heating groove (19 b) arranged on the bottom plate (19 a), wherein the microfluidic chip (100) can be placed in the heating groove (19 b), the heating groove (19 b) is used for simulating a heating mode of the microfluidic chip (100) in a use instrument, the microfluidic chip (100) is placed in the heating groove (19 b), and heat is transmitted to the microfluidic chip (100) along the heating groove (19 b) by controlling the temperature of the heating groove (19 b), so that the microfluidic chip (100) can have different real-time temperatures;
The calibration assembly (19) is configured to calibrate a heating temperature of the microfluidic chip (100) according to the steps of:
S1, putting a bottom plate, a heating tank and a temperature measuring assembly together into an oil tank, and injecting oil into the oil tank so that the oil can be simultaneously in abutting contact with the bottom plate and the heating tank;
s2, heating the oil groove temperature to a first set temperature, and acquiring a first real-time temperature of a temperature measurement assembly through a data recorder after the oil groove temperature is stabilized at the first set temperature;
S3, heating the oil groove temperature to a second set temperature, and acquiring a second real-time temperature of the temperature measurement assembly through a data recorder after the oil groove temperature is stabilized at the second set temperature;
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 assembly through a formula y=ax+b, wherein y is the calibrated temperature, and x is an actually measured temperature value;
And S5, heating the oil groove temperature to a third set temperature, and acquiring a third real-time temperature of the temperature measurement assembly through a data recorder after the oil groove temperature is stabilized at the third set temperature, so that the difference between the third real-time temperature and the third set temperature is smaller than 0.1 ℃.
CN202211709495.6A 2022-12-29 2022-12-29 A heating plate constant temperature control method and system based on artificial intelligence Active CN115951734B (en)

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