Local micro-scale cooling control optimization method

Abstract

The present invention relates to a local micro-scale cooling control optimization method and belongs to the field of biomedical engineering. In the method, the accurate cooling of a therapy region is realized by means of accurately controlling the release of a cryogenic medium. A micro-flow pump and a solenoid control valve are used to accurately adjust the flow and speed of the cryogenic medium, and a temperature sensor built in a probe is used to monitor the temperature of the therapy region in real time. The method further comprises a proportional-integral-derivative (PID)-based control algorithm, which dynamically adjusts the release of the cryogenic medium on the basis of real-time temperature data, so as to maintain a target therapy temperature. In addition, in the method, non-contact temperature monitoring is performed on the therapy region by means of an infrared camera, and data occurring during a therapy process is recorded, thereby optimizing a therapy effect. The technology provides a safe and accurate local cryotherapy method, which is applicable to medical therapy for dermatosis, muscle injury, inflammation, etc.

Description

A local microscale controlled cooling optimization method Technical Field

[0001] The present invention relates to the field of biomedical engineering and invents a local microscale controlled cooling optimization method. Background Art

[0002] Cryotherapy has been widely used in the medical treatment of skin lesions, muscle injuries and inflammation. Traditional cryotherapy methods usually involve the use of liquid nitrogen, carbon dioxide or other refrigeration compounds to reduce the temperature of local tissues in order to remove diseased tissues, relieve pain or reduce inflammation. However, these methods have limitations in controlling the size, shape and depth of the cooling area, especially in treatment situations that require highly precise control, such as the removal of warts, hemangiomas, and xanthelasma. Existing technologies often rely on large-scale cooling, which may not only affect the surrounding healthy tissues, but also makes it difficult to accurately control the cooling depth, resulting in inconsistent treatment effects. In addition, the temperature control of traditional freezing methods mostly relies on the operator's experience and judgment, and lacks real-time temperature monitoring and automatic adjustment mechanisms, which further limits the safety and effectiveness of its application. The present invention is designed based on the following problems:

[0003] 1. Lack of Precise Control: Existing cryotherapy technologies often cannot precisely control the shape, size, and depth of the cooling area. This lack of control can lead to uneven treatment effects and even damage surrounding healthy tissue. Furthermore, for complex or delicate medical procedures, such as the precise removal of warts, hemangiomas, and xanthelasma, existing technologies often struggle to achieve the required localized, precise freezing.

[0004] 2. Inadequate temperature monitoring and feedback mechanisms: Most traditional cryotherapy equipment lacks real-time temperature monitoring and automatic adjustment mechanisms, forcing operators to rely on experience to determine the suitability of treatment. This lack of accurate feedback can lead to excessively low temperatures in the treatment area, even causing frostbite, thus compromising the effectiveness and safety of treatment.

[0005] 3. Inadequate data management and optimization: Traditional cryotherapy lacks the recording and analysis of treatment data. This limits medical professionals' ability to optimize treatment strategies using historical data during subsequent treatments. Without effective data recording and analysis mechanisms, medical professionals struggle to assess the impact of specific parameter settings on treatment outcomes, hindering the continuous improvement of treatment methods and the implementation of personalized medicine. Technical issues

[0006] The main purpose of the present invention is to provide a local microscale controlled cooling optimization method that can effectively solve the problems in the background technology. Technical Solutions

[0007] To achieve the above object, the technical solution adopted by the present invention is:

[0008] A local microscale cooling optimization method, the specific steps of which are: step S1: dispensing a cryogenic medium, using a micro-flow pump and an electromagnetic control valve to dispense the medium and control the flow, using a probe with a built-in integrated temperature sensor; step S2: using the equipment, controlling the release of the cryogenic medium by using a PID microprocessor, and using an infrared camera to monitor the temperature of the treatment area.

[0009] The PID control algorithm includes a proportional adjustment part for calculating the difference between the current temperature and the target temperature to generate a basic adjustment signal.

[0010] The PID control algorithm further includes an integral adjustment part for accumulating past temperature deviations to provide necessary cumulative adjustment.

[0011] The PID control algorithm also includes a differential adjustment part for predicting future temperature trends and adjusting the control signal by calculating the rate of change of the temperature deviation.

[0012] The PID microprocessor is configured to receive continuous temperature readings from the temperature sensor and update various parameters of the PID control algorithm in real time based on these readings.

[0013] The control algorithm further includes an error handling mechanism that automatically adjusts PID control parameters when abnormal temperature sensor readings are detected.

[0014] The control algorithm includes a data logging module for recording and storing temperature data and control parameters during each treatment process to support subsequent data analysis and system optimization. Beneficial effects

[0015] 1. Achieving Precise Control: A micro-flow pump and solenoid-controlled valve precisely control the release of the cryogenic medium. By using these two methods, the flow rate and release rate of liquid nitrogen or other cryogenic media can be precisely controlled. This fine-tuning allows for more precise cooling of the treatment area, allowing the depth and range of cooling to be adjusted as needed, thereby protecting surrounding healthy tissue from unnecessary hypothermia. The PID control algorithm utilizes a proportional-integral-derivative (PID) control algorithm for real-time temperature adjustment. This algorithm dynamically adjusts the release of the cryogenic medium based on real-time data received from the temperature sensor. The PID algorithm calculates the real-time temperature deviation (proportional component), the accumulated value of the deviation (integral component), and the rate of change of the deviation (derivative component) to generate a precise control signal to adjust the cryogenic medium flow rate, thereby maintaining the treatment area within the target temperature range.

[0016] 2. Enhanced temperature monitoring and feedback mechanisms: Infrared cameras and temperature sensors monitor the temperature distribution in the treatment area. Combined with the probe's built-in temperature sensor, this provides highly accurate temperature data. This data is fed back to the control unit in real time and processed using a PID algorithm to ensure accurate and responsive temperature control.

[0017] 3. Improved Data Management and Optimization: Data Recording Module for Recording and Analyzing Treatment Data. The control algorithm includes a data recording module that records key parameters during each treatment session, such as temperature, control parameters, and media flow. This data is stored within the system for subsequent analysis, helping medical staff assess treatment effectiveness and optimize future treatment plans. An error handling mechanism is included in the control algorithm to address possible sensor failures or data anomalies. This mechanism automatically identifies abnormal readings and temporarily adjusts control parameters until the issue is resolved or manual intervention is required, thereby ensuring the continuity and safety of the treatment process. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] FIG1 is a flow chart of an implementation method of the present invention;

[0019] FIG2 is a flow chart of a method for using the device of the present invention;

[0020] FIG3 is a diagram showing the PID implementation concept of the present invention; Best Mode for Carrying Out the Invention

[0021] In order to make the technical means, creative features, objectives and effects achieved by the present invention easier to understand, the present invention is further described below in conjunction with specific implementation methods.

[0022] In the description of the present invention, it should be noted that the terms "upper," "lower," "inner," "outer," "front end," "rear end," "two ends," "one end," "the other end," and the like, indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0023] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "installed," "provided with," "connected," etc., should be understood in a broad sense. For example, "connected" may refer to a fixed connection, a detachable connection, or an integral connection; it may refer to a mechanical connection or an electrical connection; it may refer to a direct connection or an indirect connection through an intermediate medium; it may refer to internal communication between two components. Those skilled in the art will be able to understand the specific meanings of the above terms in the present invention in specific circumstances.

[0024] Example

[0025] Please refer to Figures 1-3. The present invention provides a technical solution:

[0026] A local microscale cooling optimization method, the specific steps of which are: step S1: dispensing a cryogenic medium, using a micro-flow pump and an electromagnetic control valve to dispense the medium and control the flow, using a probe with a built-in integrated temperature sensor; step S2: using the equipment, controlling the release of the cryogenic medium by using a PID microprocessor, and using an infrared camera to monitor the temperature of the treatment area.

[0027] The PID control algorithm includes a proportional adjustment part for calculating the difference between the current temperature and the target temperature to generate a basic adjustment signal.

[0028] The PID control algorithm further includes an integral adjustment part for accumulating past temperature deviations to provide necessary cumulative adjustment.

[0029] The PID control algorithm also includes a differential adjustment part for predicting future temperature trends and adjusting the control signal by calculating the rate of change of the temperature deviation.

[0030] The PID microprocessor is configured to receive continuous temperature readings from the temperature sensor and update various parameters of the PID control algorithm in real time based on these readings.

[0031] The control algorithm further includes an error handling mechanism that automatically adjusts PID control parameters when abnormal temperature sensor readings are detected.

[0032] The control algorithm includes a data logging module for recording and storing temperature data and control parameters during each treatment process to support subsequent data analysis and system optimization.

[0033] The specific implementation methods of each step of the present invention are:

[0034] 1. Preparation and initialization

[0035] Treatment Planning: Before treatment begins, medical professionals enter specific treatment requirements through a dedicated software interface, including the size and shape of the treatment area, desired cooling depth, and target temperature. This step is essential for ensuring precise treatment. Probe Configuration selects a probe of the appropriate shape and size based on the input treatment requirements. Each probe is designed with a different surface area and contact angle to accommodate different treatment areas and depth requirements.

[0036] 2. Controlled distribution of freezing medium

[0037] Programmable micro-flow pumps and solenoid valves precisely control the flow of cryogenic media based on treatment needs. The micro-flow pump adjusts the minute-by-minute liquid flow rate, while the solenoid valves precisely control the rapid start and stop of cryogenic media, which is crucial for achieving rapid temperature changes. The appropriate cryogenic media, such as liquid nitrogen or carbon dioxide, is selected based on the specific treatment needs. Liquid nitrogen is suitable for treatments requiring rapid cooling, while carbon dioxide may be suitable for more superficial freezing.

[0038] 3. Application of PID control algorithm

[0039] Algorithm Structure and Parameter Settings Proportional Control (P): This component is responsible for processing immediate temperature deviations and generating a control signal proportional to the deviation. A higher proportional coefficient (Kp) results in faster system response, but too high a value may cause overshoot. Integral Control (I): The integral component processes the cumulative effects of temperature deviations and helps eliminate long-term steady-state errors. The integral coefficient (Ki) should be adjusted carefully to prevent the system from over-responding. Derivative Control (D): The derivative component predicts future temperature trends and improves system stability and response speed. The derivative coefficient (Kd) can help mitigate or avoid oscillations. The control system updates the PID control parameters by monitoring the temperature sensor readings in real time. These parameters continuously adjust the flow rate of the cryogenic medium to accurately maintain the treatment area within the set temperature range.

[0040] 4. Advanced temperature monitoring and data logging

[0041] Non-contact temperature monitoring is performed using an infrared camera that covers the entire treatment area, providing real-time thermal images that visually display temperature distribution and any abnormal hot spots. All data collected during treatment, such as temperature changes, PID parameter adjustments, and media flow rates, is recorded in a database. This data can be used for subsequent analysis to assess treatment effectiveness and further optimize treatment parameters.

[0042] 5. Security monitoring and error prevention

[0043] The Constant Detection and Response System features automated detection capabilities, enabling immediate response to abnormal temperature sensor data or equipment malfunctions. The system can automatically adjust relevant parameters or halt the refrigerant supply, while simultaneously issuing an alarm to notify operators. If any critical parameter exceeds a safety threshold, the system automatically locks out, preventing further operation until the issue is resolved.

[0044] 6. Simplified user interface and operation

[0045] All settings are made via an intuitive graphical user interface (GUI), which displays the current treatment status, real-time temperature images, and historical data analysis results. The user-friendly GUI ensures that the operator can easily set up and monitor the treatment process.

[0046] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A local microscale controlled cooling optimization method, characterized in that: Step S1: Cryogenic medium distribution, using a micro-flow pump and an electromagnetic control valve for medium distribution and flow control, using the probe's built-in integrated temperature sensor, Step S2: Equipment use, using a PID microprocessor to control the release of cryogenic medium, and using an infrared camera to monitor the temperature of the treatment area.

2. A local microscale controlled cooling optimization method according to claim 1, characterized in that: The PID control algorithm includes a proportional adjustment part for calculating the difference between the current temperature and the target temperature to generate a basic adjustment signal.

3. A local microscale controlled cooling optimization method according to claim 1, characterized in that: The PID control algorithm further includes an integral adjustment part for accumulating past temperature deviations to provide necessary cumulative adjustment.

4. A local microscale controlled cooling optimization method according to claim 1, characterized in that: The PID control algorithm also includes a differential adjustment part for predicting future temperature trends and adjusting the control signal by calculating the rate of change of the temperature deviation.

5. A local microscale controlled cooling optimization method according to claim 1, characterized in that: The PID microprocessor is configured to receive continuous temperature readings from the temperature sensor and update various parameters of the PID control algorithm in real time based on these readings.

6. A local microscale controlled cooling optimization method according to claim 1, characterized in that: The control algorithm further includes an error handling mechanism that automatically adjusts PID control parameters when abnormal temperature sensor readings are detected.

7. A local microscale controlled cooling optimization method according to claim 1, characterized in that: The control algorithm includes a data recording module for recording and storing temperature data and control parameters during each treatment process to support subsequent data analysis and system optimization.

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