Temperature control method and system for ultralow-temperature camera system
By using a heating film and a temperature sensor in an ultra-low temperature camera system to generate a regression equation, predict temperature trends, and actively control the heating film, the problems of low reliability and imperfect automatic temperature control in existing technologies are solved, and the system can be stably operated in extreme low temperature environments.
Patent Information
- Application Number
- CN202510963318.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-14
- Publication Date
- 2025-09-26
AI Technical Summary
Existing ultra-low temperature camera devices have low working reliability in extreme low temperature environments and their automatic temperature control strategies are imperfect. They mainly rely on insulation and electric heating methods and lack effective temperature prediction and active control.
By using multiple heating films and temperature sensors, the temperature trend is predicted by generating a target regression equation, and the heating films are started or shut down in advance to achieve active automatic temperature control and improve the reliability and stability of the system.
The reliability of the camera system and the automatic temperature control strategy have been improved in ultra-low temperature environments. Temperature changes can be predicted in advance, and responses can be made early to avoid equipment damage.
Smart Images
Figure CN120704447A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of camera systems, and in particular to a temperature control method and system for an ultra-low temperature camera system. Background Art
[0002] As an auxiliary system for the human eye, cameras can assist humans in monitoring tasks in extreme environments, such as those at -183°C in liquid nitrogen and liquid oxygen environments. However, thermal control for cameras in ultra-low-temperature environments currently relies primarily on insulation and electrical heating, both of which are implemented through structural design and process implementation. This leads to low reliability and incomplete automatic temperature control strategies. Summary of the Invention
[0003] The present application provides a temperature control method and system for an ultra-low temperature camera system, which can solve the problems of low working reliability and imperfect automatic temperature control strategy of existing camera devices in ultra-low temperature environments.
[0004] In order to achieve the above objectives, this application adopts the following technical solutions: In a first aspect of an embodiment of the present application, a temperature control method for an ultra-low temperature imaging system is provided. The method is characterized in that the method is applied to a temperature control system of an ultra-low temperature imaging system, the system comprising: a plurality of heating films and a plurality of temperature sensors, each temperature sensor being configured to collect the temperature of a corresponding heating film, the method comprising: Obtaining the current temperature of the heating film in the current cycle; If the current temperature is greater than a first temperature threshold and less than a second temperature threshold, then continuously acquiring multiple temperature values corresponding to the heating film at multiple acquisition times, and the second temperature threshold is greater than the first temperature threshold; Generate a target regression equation according to the acquisition time and the corresponding temperature value; According to the target parameters in the target regression equation, a prediction control method of the heating film in the next cycle is generated, and the control method includes: starting the heating film, maintaining the current state unchanged, and turning off the heating film.
[0005] As a possible implementation manner, after obtaining the current temperature of the heating film, the method further includes: If the current temperature is less than the first temperature threshold, activating the heating film; If the current temperature is greater than the second temperature threshold, the heating film is turned off.
[0006] As a possible implementation, generating a target regression equation according to the acquisition time and the corresponding temperature value includes: Construct regression equation; determining an average acquisition time of the plurality of acquisition times and an average temperature value of the plurality of temperature values; Calculating the target parameter according to each acquisition time, each temperature value, the average acquisition time, and the average temperature value; Calculate a first parameter according to the average acquisition time and the average temperature value; The target regression equation is obtained according to the target parameter, the first parameter and the regression equation.
[0007] As a possible implementation, generating a prediction control method for the heating film in the next cycle according to the target parameters in the target regression equation includes: If the target parameter is greater than a first threshold, the heating film is turned off, and the value range of the first threshold is (1, 2); If the target parameter is less than a second threshold, the heating film is turned on, and the value range of the second threshold is (-2, -1); If the target parameter is equal to 0, the heating film maintains the current state.
[0008] As a possible implementation manner, after continuously acquiring multiple temperature values corresponding to the heating film at multiple acquisition times, the method further includes: Calculating the sum of squares of deviations of the plurality of temperature values; The working state of the ultra-low temperature imaging system is determined according to the sum of squared deviations.
[0009] As a possible implementation manner, after generating the control mode of the heating film in the next cycle, the method further includes: Obtaining a next temperature of the heating film in a next cycle; generating a next control mode of the heating film according to the next temperature; If the predicted control mode is different from the next control mode, the heating film is controlled according to the next control mode.
[0010] In a second aspect of an embodiment of the present application, a cryogenic imaging system is provided, the system comprising: a plurality of heating films, a plurality of temperature sensors, and a temperature processing device, each temperature sensor being configured to collect the temperature of a corresponding heating film, the temperature processing device being configured to: Obtaining the current temperature of the heating film in the current cycle; If the current temperature is greater than a first temperature threshold and less than a second temperature threshold, then continuously acquiring multiple temperature values corresponding to the heating film at multiple acquisition times, and the second temperature threshold is greater than the first temperature threshold; Generate a target regression equation according to the acquisition time and the corresponding temperature value; According to the target parameters in the target regression equation, a prediction control mode of the heating film in the next cycle is generated, and the control mode includes: starting the heating film, maintaining the current state, and turning off the heating film.
[0011] As a possible implementation, there are three heating films, which are respectively located at three different parts of the camera system; The temperature processing device includes an FPGA control circuit.
[0012] As a possible implementation, the system further includes an imaging device, which is used to collect image information and convert it into an electrical signal.
[0013] As a possible implementation, the system further includes an image processing device, which is used to: configure the image sensor register, read the image data, convert the image data format, and output the image data via an LVDS signal. The beneficial effects of the technical solutions provided in the embodiments of the present application include at least: The temperature control method of the ultra-low temperature camera system provided in the embodiment of the present application is applied to an ultra-low temperature camera system, wherein the system includes: multiple heating films and multiple temperature sensors, each temperature sensor is used to collect the temperature of the corresponding heating film. By obtaining the current temperature of the heating film in the current cycle; if the current temperature is greater than a first temperature threshold and less than a second temperature threshold, multiple temperature values corresponding to the heating film at multiple collection times are continuously collected, and the second temperature threshold is greater than the first temperature threshold; a target regression equation is generated according to the collection time and the corresponding temperature value; according to the target parameter in the target regression equation, a predictive control method for the heating film in the next cycle is generated, and the control method includes: starting the heating film, maintaining the current state, and turning off the heating film. The temperature control method of the ultra-low temperature camera system provided in the present application can predict the future temperature trend based on the currently collected temperature, start or shut down the heating film in advance, and make the automatic temperature control strategy of the camera system more reliable. The camera system can predict the temperature trend in advance and make temperature predictions in advance in response to low or high temperature external environments, making the camera system more reliable. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] Figure 1 The structure of an ultra-low temperature imaging system provided in the embodiment of the present application Figure 1 ; Figure 2 The process of the temperature control method of the ultra-low temperature imaging system provided in the embodiment of the present application Figure 1 ; Figure 3The process of the temperature control method of the ultra-low temperature imaging system provided in the embodiment of the present application Figure 2 ; Figure 4 The structure of an ultra-low temperature imaging system provided in the embodiment of the present application Figure 2 . DETAILED DESCRIPTION
[0015] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.
[0016] In the following, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of the present disclosure, unless otherwise specified, "plurality" means two or more.
[0017] Additionally, the use of “based on” or “according to” is intended to be open and inclusive, in that a process, step, calculation, or other action “based on” or “according to” one or more conditions or values may, in practice, be based on additional conditions or beyond values.
[0018] As an auxiliary system for the human eye, cameras can assist humans in monitoring tasks in extreme environments, such as those in liquid nitrogen and liquid oxygen environments, at ultra-low temperatures of -183°C. Existing cameras have a minimum operating temperature of -50°C, with a normal operating limit of around -55°C. This is primarily due to the minimum operating temperature requirements of electronic components. Below this temperature, the failure rate of the entire system increases significantly, causing the camera to malfunction.
[0019] However, current thermal control for camera devices operating in ultra-low temperature environments still primarily relies on insulation and electric heating, implemented through structural design and process implementation. This leads to low reliability and an incomplete automatic temperature control strategy. Furthermore, the system is currently only verified to operate at temperatures between -40°C and -60°C; the patent does not specify operating conditions at even lower temperatures. The heating film is activated and deactivated based on the temperature values captured by the temperature sensor. This lack of preprocessing and early identification of the temperature values captured by the temperature sensor prevents early implementation of a master temperature control strategy for the system.
[0020] Based on the above problems, this application provides an ultra-low temperature imaging system, such as Figure 1As shown, the system includes: multiple heating films and multiple temperature sensors, each temperature sensor is used to collect the temperature of the corresponding heating film. The normal operating temperature range of the ultra-low temperature camera system provided in this application is -196℃~+80℃, and the maximum operating pressure is 0.6MPa.
[0021] The embodiment of the present application provides a temperature control method for an ultra-low temperature imaging system, which is applied to an ultra-low temperature imaging system, such as Figure 2 As shown, the method includes the following steps: Step 201: Obtain the current temperature of the heating film in the current cycle.
[0022] The heating film in the camera system is a device used for defog and anti-frost, and is mainly used in surveillance security cameras to ensure that they can work normally in low temperature environments.
[0023] Heating films are typically made of highly conductive silver nanowires, which heat the entire surface quickly and evenly. This efficient heating performance ensures rapid melting of snow and frost even in extremely low temperatures, while effectively limiting the temperature to prevent overheating.
[0024] For example, the present application may include three heating films, each with a corresponding temperature measurement, and the three heating films are located at the front, middle, and rear of the camera device. The number and location of the heating films can be set according to the application scenario and are not specifically limited in this application.
[0025] The current temperature of the first heating film, the current temperature of the second heating film and the current temperature of the third heating film can be recorded as , , .
[0026] Step 202: If the current temperature is greater than a first temperature threshold and less than a second temperature threshold, continuously collect multiple temperature values corresponding to the heating film at multiple collection times, and the second temperature threshold is greater than the first temperature threshold.
[0027] Among them, the first temperature threshold The second temperature threshold can be -10℃ It can be 30° C. Of course, the first temperature threshold and the second temperature threshold can be set according to actual application scenarios, and the embodiment of the present application does not specifically limit this.
[0028] Taking the heating film 1 as an example, when , heating film 1 is turned on, when , the heating film 1 is closed, wherein, =-10°, =30°.
[0029] when , the temperature values of the heating film 1 are collected at equal time intervals for n times continuously, and multiple temperature values corresponding to the heating film at multiple collection times are obtained to predict the control method of the heating film 1 in the next cycle.
[0030] Step 203: Generate a target regression equation based on the acquisition time and the corresponding temperature value; Step 204 : Generate a prediction control mode for the heating film in the next cycle according to the target parameters in the target regression equation. The control mode includes: starting the heating film, maintaining the current state, and turning off the heating film.
[0031] It should be noted that the temperature control method of the ultra-low temperature camera system provided in the embodiment of the present application is described by taking the temperature control of a heating film as an example, and the temperature control of other heating films also implements the temperature control method of the ultra-low temperature camera system provided in the embodiment of the present application.
[0032] The temperature control method for an ultra-low-temperature camera system provided in the embodiments of this application utilizes active automatic temperature control technology to improve the reliability and stability of the camera system's automated temperature control. In this application, ultra-low temperature refers to temperatures below -180 degrees Celsius, and an ultra-low-temperature camera system refers to a camera device capable of operating at temperatures below -180 degrees Celsius.
[0033] Optionally, after obtaining the current temperature of the heating film, the method further includes: if the current temperature is less than the first temperature threshold, starting the heating film; if the current temperature is greater than the second temperature threshold, turning off the heating film.
[0034] Optionally, generating a target regression equation according to the acquisition time and the corresponding temperature value includes: Constructing a regression equation; determining an average acquisition time of the multiple acquisition times and an average temperature value of the multiple temperature values; calculating the target parameter based on each acquisition time, each temperature value, the average acquisition time, and the average temperature value; calculating a first parameter based on the average acquisition time and the average temperature value; and obtaining the target regression equation based on the target parameter, the first parameter, and the regression equation.
[0035] Optionally, the constructed regression equation can be: .
[0036] in, , x is the acquisition time, which is the temperature acquisition point at the same time interval (time 1, time 2, ..., time n). In this example, temperature acquisition is performed at equal intervals of 1 second. These are 1, 2, ..., n, in sequence. y is the temperature value corresponding to each acquisition time. , represents the time of temperature collection for the i-th time, Indicates the average value of the acquisition time from moment 1 to moment n. , Indicates the temperature value corresponding to the i-th moment, Indicates the cumulative average value of the temperature value collected from time 1 to time n.
[0037] Through multiple acquisition times and corresponding temperature values, parameter b, which is also the target parameter, can be calculated. Then, parameter a can be calculated through the temperature value corresponding to the acquisition time and parameter b, thereby obtaining the target regression equation.
[0038] It should be noted that the ultra-low temperature camera system includes an image processing device, which can also be called a temperature control board. The temperature control board can use FPGA. The temperature values collected in this application can be cached in the FPGA register and called from the FPGA register when needed.
[0039] Optionally, generating a prediction control method for the heating film in the next cycle according to the target parameters in the target regression equation includes: If the target parameter is greater than a first threshold, the heating film is turned off, and the value range of the first threshold is (1, 2); if the target parameter is less than a second threshold, the heating film is turned on, and the value range of the second threshold is (-2, -1); if the target parameter is equal to 0, the heating film maintains the current state.
[0040] For example, when the target parameter b>0, it means that the temperature of the heating film 1 is The temperature in the interval is rising. When b>1.5, the heating film 1 is turned off. When the target parameter b<0, it means that the temperature of the heating film 1 is The temperature in the interval is decreasing. When b<-1.5, the heating film 1 is turned on. When the target parameter b=0, it means that the temperature of the heating film 1 is If the interval temperature remains unchanged, the heating film 1 maintains the current state.
[0041] Optionally, after continuously acquiring multiple temperature values corresponding to the heating film at multiple acquisition times, the method further includes: Calculating the sum of squares of the deviations of the multiple temperature values; and determining the working state of the ultra-low temperature imaging system according to the sum of squares of the deviations.
[0042] Optionally, after generating the control mode of the heating film for the next cycle, the method further includes: Acquire a next temperature of the heating film in a next cycle; generate a next control mode of the heating film according to the next temperature; and control the heating film according to the next control mode if the predicted control mode is different from the next control mode.
[0043] It is understandable that in order to increase system reliability, the present application calculates the sum of squares S of the temperature values at n acquisition times, A small S value indicates stable temperature changes, consistent with linear prediction, and normal system operation. A large S value indicates abnormal and irregular temperature changes, exceeding the model's predictive capabilities. This may indicate an unexpected situation (such as seal failure or sensor malfunction). When the S parameter is large (S ≥ 1000, an engineering parameter determined based on the specific equipment, operating environment, and testing), the system can proactively take measures, shutting down the power supply and prompting an inspection of the camera system to prevent equipment damage.
[0044] It should be noted that the calculated sum of squared deviations (S) is stored in a 32-bit signed register (SSR). The image processing device reads the SSR parameters in the FPGA in real time and sends them via the LVDS. The median value of the SSR parameter is used to evaluate the degree of fit of the fitting model to the collected temperature data.
[0045] For example, the acquisition time and temperature values are shown in Table 1.
[0046] Table 1 Collection time and temperature values
[0047] The regression equation can be calculated: ,exist In the range b>1.5, the heating film is turned off in advance. The sum of squared deviations S = 328.89 is sent through the LVDS interface and recorded as a parameter.
[0048] In this application, all the past temperature information has been saved to the register. Based on the current situation, we can predict the future temperature trend and start or shut down the heating film in advance, making the automatic temperature control strategy of the camera system more reliable. The camera system can deal with low or high temperature environments in the outside world, predict the temperature trend in advance, make temperature predictions early, and make the camera system more reliable. Especially in response to extreme temperature conditions, even , facing sudden and drastic temperature changes, wait until or It was too late to operate the switch of the heating film.
[0049] like Figure 3As shown in FIG, a flow chart of the temperature control method of the ultra-low temperature camera system provided by the embodiment of the present application. The camera system works in an ultra-low temperature environment, such as a camera system in a liquid oxygen or liquid nitrogen environment. The normal operating temperature range of the system is -196°C to +80°C. It can work reliably in an ultra-low temperature environment, mainly relying on a precise temperature control strategy. Different from the existing temperature control method, when , the heating film is turned on, when , the heating film is turned off. , accurately predict temperature change trends in advance, control temperature changes in advance, improve the initiative of temperature control, and enhance the reliability of the camera system. , innovatively proposed a trend prediction method based on process temperature changes. All past temperature information has been saved to the current state. Based on the current state, future temperature trends can be predicted and the heating film can be started or shut down in advance. By calculating the parameter S, a metric value can be obtained to evaluate the degree of fit of the fitting model to the collected temperature data. A smaller S sum indicates that the fitting model fits the collected temperature data well, that is, the difference between the fitting value and the actual observed temperature data is small; while a larger S sum indicates that the fitting model does not fit the sample temperature data well, that is, the difference between the fitting value and the actual observed value is large. When the parameter S is found to be large, proactive measures are taken to turn off the power and check the camera system.
[0050] The embodiment of the present application provides an ultra-low temperature imaging system, such as Figure 4 As shown, the system includes: multiple heating films, multiple temperature sensors and a temperature processing device, each temperature sensor is used to collect the temperature of the corresponding heating film, and the temperature processing device is used to: Obtaining the current temperature of the heating film in the current cycle; If the current temperature is greater than a first temperature threshold and less than a second temperature threshold, then continuously acquiring multiple temperature values corresponding to the heating film at multiple acquisition times, and the second temperature threshold is greater than the first temperature threshold; Generate a target regression equation according to the acquisition time and the corresponding temperature value; According to the target parameters in the target regression equation, a prediction control mode of the heating film in the next cycle is generated, and the control mode includes: starting the heating film, maintaining the current state, and turning off the heating film.
[0051] Optionally, there are three heating films, which are respectively located at three different parts of the camera system; and the temperature processing device includes an FPGA control circuit.
[0052] Optionally, the system further includes an imaging device, which is used to collect image information and convert it into an electrical signal.
[0053] Optionally, the system further includes an image processing device, which is used to: configure image sensor registers, read image data, perform format conversion on the image data, and output the image data via an LVDS signal.
[0054] Optionally, the temperature treatment device is further used for: If the current temperature is less than the first temperature threshold, activating the heating film; If the current temperature is greater than the second temperature threshold, the heating film is turned off.
[0055] Optionally, the temperature treatment device is specifically used for: Construct regression equation; determining an average acquisition time of the plurality of acquisition times and an average temperature value of the plurality of temperature values; Calculating the target parameter according to each acquisition time, each temperature value, the average acquisition time, and the average temperature value; Calculate a first parameter according to the average acquisition time and the average temperature value; The target regression equation is obtained according to the target parameter, the first parameter and the regression equation.
[0056] Optionally, the temperature treatment device is specifically used for: If the target parameter is greater than a first threshold, the heating film is turned off, and the value range of the first threshold is (1, 2); If the target parameter is less than a second threshold, the heating film is turned on, and the value range of the second threshold is (-2, -1); If the target parameter is equal to 0, the heating film maintains the current state.
[0057] Optionally, the temperature treatment device is further used for: Calculating the sum of squares of deviations of the plurality of temperature values; The working state of the ultra-low temperature imaging system is determined according to the sum of squared deviations.
[0058] Optionally, the temperature treatment device is further used for: Obtaining a next temperature of the heating film in a next cycle; generating a next control mode of the heating film according to the next temperature; If the predicted control mode is different from the next control mode, the heating film is controlled according to the next control mode.
[0059] The hardware platform of the ultra-low temperature imaging system provided in the embodiment of the present application includes three circuit boards, namely: an imaging device, an image processing device and a temperature processing device, wherein the imaging device can also be called an imaging board, the image processing device can also be called a control board, and the temperature processing device can also be called a temperature control board.
[0060] The imaging board primarily collects image information and converts it into electrical signals. It includes a CMOS detector and secondary power conversion circuitry. The control board configures the image sensor registers, reads image data, converts the image data format, and outputs the image data via LVDS signals. This includes an image LVDS signal output module and a HiSilicon processing chip. The temperature control board primarily collects and processes temperature data, controls the heating film circuitry, and includes an FPGA control circuit.
[0061] The temperature processing device in the ultra-low temperature imaging system provided in the embodiment of the present application can execute the above-mentioned temperature control method embodiment of the ultra-low temperature imaging system. Its implementation principle and technical effects are similar and will not be elaborated here.
[0062] For specific definitions of the ultra-low temperature imaging system, please refer to the definitions of the temperature control method for the ultra-low temperature imaging system above and will not be repeated here. The temperature processing device in the ultra-low temperature imaging system described above can be implemented in whole or in part through software, hardware, or a combination thereof. It can be embedded in or independent of the processor of the electronic device in hardware form, or it can be stored in the memory of the electronic device in software form, so that the processor can call and execute the operations corresponding to the above modules.
[0063] The executor of the temperature control method of the ultra-low temperature imaging system provided in the embodiment of the present application can be a temperature processing device, which can be a controller, a processor, a processing chip, a computer device, a terminal device, a server or a server cluster. The embodiment of the present application does not make any specific limitations on this.
[0064] In another embodiment of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the temperature control method of the ultra-low temperature imaging system in the embodiment of the present application are implemented.
[0065] In another embodiment of the present application, a computer program product is also provided, which includes computer instructions. When the computer instructions are run on a temperature processing device in an ultra-low temperature imaging system, the temperature processing device in the ultra-low temperature imaging system executes each step of the temperature control method in the ultra-low temperature imaging system in the method flow shown in the above method embodiment.
[0066] In the above embodiments, all or part of the embodiments can be implemented using software, hardware, firmware, or any combination thereof. When implemented using a software program, all or part of the embodiments can be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer-executable instructions are loaded and executed on a computer, all or part of the processes or functions according to the embodiments of the present application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more servers that can be integrated with the medium. The available media may be magnetic media (eg, floppy disks, hard disks, magnetic tapes), optical media (eg, DVDs), or semiconductor media (eg, solid state disks (SSDs)).
[0067] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0068] The above embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art could make various modifications and improvements without departing from the spirit of the present application, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.
Claims
1. A temperature control method for an ultra-low temperature imaging system, characterized in that: Applied to an ultra-low temperature imaging system, the system includes: multiple heating films and multiple temperature sensors, each temperature sensor is used to collect the temperature of the corresponding heating film, the method includes: Obtaining the current temperature of the heating film in the current cycle; If the current temperature is greater than a first temperature threshold and less than a second temperature threshold, then continuously acquiring multiple temperature values corresponding to the heating film at multiple acquisition times, and the second temperature threshold is greater than the first temperature threshold; Generate a target regression equation according to the acquisition time and the corresponding temperature value; According to the target parameters in the target regression equation, a prediction control mode of the heating film in the next cycle is generated, and the control mode includes: starting the heating film, maintaining the current state, and turning off the heating film.
2. The method according to claim 1, characterized in that After obtaining the current temperature of the heating film, the method further includes: If the current temperature is less than the first temperature threshold, activating the heating film; If the current temperature is greater than the second temperature threshold, the heating film is turned off.
3. The method according to claim 1, characterized in that Generating a target regression equation according to the acquisition time and the corresponding temperature value includes: Construct regression equation; determining an average acquisition time of the plurality of acquisition times and an average temperature value of the plurality of temperature values; Calculating the target parameter according to each acquisition time, each temperature value, the average acquisition time, and the average temperature value; Calculate a first parameter according to the average acquisition time and the average temperature value; The target regression equation is obtained according to the target parameter, the first parameter and the regression equation.
4. The method according to claim 1, wherein The method of generating a prediction control method for the heating film in the next cycle according to the target parameters in the target regression equation includes: If the target parameter is greater than a first threshold, the heating film is turned off, and the value range of the first threshold is (1, 2); If the target parameter is less than a second threshold, the heating film is turned on, and the value range of the second threshold is (-2, -1); If the target parameter is equal to 0, the heating film maintains the current state.
5. The method according to claim 1, wherein After continuously acquiring multiple temperature values corresponding to the heating film at multiple acquisition times, the method further includes: Calculating the sum of squares of deviations of the plurality of temperature values; The working state of the ultra-low temperature imaging system is determined according to the sum of squared deviations.
6. The method according to claim 1, wherein After generating the control mode of the heating film in the next cycle, the method further includes: Obtaining a next temperature of the heating film in a next cycle; generating a next control mode of the heating film according to the next temperature; If the predicted control mode is different from the next control mode, the heating film is controlled according to the next control mode.
7. An ultra-low temperature imaging system, characterized in that: The system includes: a plurality of heating films, a plurality of temperature sensors, and a temperature processing device, each temperature sensor is used to collect the temperature of the corresponding heating film, and the temperature processing device is used to: Obtaining the current temperature of the heating film in the current cycle; If the current temperature is greater than a first temperature threshold and less than a second temperature threshold, then continuously acquiring multiple temperature values corresponding to the heating film at multiple acquisition times, and the second temperature threshold is greater than the first temperature threshold; Generate a target regression equation according to the acquisition time and the corresponding temperature value; According to the target parameters in the target regression equation, a prediction control mode of the heating film in the next cycle is generated, and the control mode includes: starting the heating film, maintaining the current state, and turning off the heating film.
8. The system according to claim 7, characterized in that There are three heating films, which are respectively located at three different parts of the camera system; The temperature processing device includes an FPGA control circuit.
9. The system according to claim 7, wherein: The system further comprises an imaging device, which is used to collect image information and convert it into an electrical signal.
10. The system according to claim 7, wherein: The system further includes an image processing device, which is used to configure an image sensor register, read image data, perform format conversion on the image data, and output the image data via an LVDS signal.