Laser refrigeration equipment control method, device, control equipment and laser system

Abstract

The present application relates to a control method, device, control equipment and laser system for a laser cooling device. The method includes: obtaining the current electrical parameters of the laser; determining the predicted heat generation amount of the laser according to the current electrical parameters; obtaining the actual output power of the laser, and determining the actual heat generation amount of the laser according to the actual output power; determining the predicted cooling capacity according to the predicted heat generation amount and the actual heat generation amount, and adjusting the current cooling capacity of the cooling device corresponding to the laser according to the predicted cooling capacity. By adopting this method, the accuracy of the control of the laser cooling device can be improved, and further, the stability of the output power of the laser system can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of lasers, and particularly to a control method, device, control equipment and laser system for a laser cooling device. Background Art

[0002] With the development of laser technology, medical lasers such as holmium laser therapy machines have emerged. During the operation of a holmium laser therapy machine, the cooling device plays a crucial role. The cooling device usually uses a liquid such as water as a cooling medium to dissipate heat to maintain the stable operation of the laser system. However, temperature fluctuations of the cooling medium may have an adverse effect on the output performance of the laser system. Since the optical components and laser cavities in the laser are sensitive to temperature changes, temperature fluctuations of the cooling medium may cause uneven temperature inside the laser device, resulting in fluctuations in the output power of the laser. Fluctuations in the output power of the laser will directly affect the surgical effect.

[0003] In traditional technologies, usually by enhancing the medium flow rate of the cooling device or introducing a constant temperature device to minimize the impact caused by temperature fluctuations of the cooling medium. However, the effects of these control measures are not ideal. Especially in long-term surgeries or complex surgical environments, the output power of the laser is still very unstable. Summary of the Invention

[0004] Based on this, it is necessary to provide a control method, device, control equipment and laser system for a laser cooling device that can improve the stability of the output power of the laser system for the above technical problems.

[0005] In a first aspect, a control method for a laser cooling device is provided, and the method includes:

[0006] Obtain the current electrical parameters of the laser;

[0007] Determine the predicted heat generation of the laser according to the current electrical parameters;

[0008] Obtain the actual output power of the laser, and determine the actual heat generation of the laser according to the actual output power;

[0009] Determine the predicted cooling capacity according to the predicted heat generation and the actual heat generation, and adjust the current cooling capacity of the cooling device corresponding to the laser according to the predicted cooling capacity.

[0010] In some embodiments, the method further includes:

[0011] Generate a parameter-temperature relationship model according to the correlation relationship between the electrical parameters with different values of the laser and their respective corresponding temperature values;

[0012] According to the initial value electrical parameters of the laser and the parameter-temperature relationship model, obtain the initial temperature value corresponding to the initial value electrical parameters;

[0013] Determine the initial cooling capacity of the refrigeration device according to the initial temperature value.

[0014] In some embodiments, according to the correlation relationship between the electrical parameters of different values of the laser and their respective corresponding temperatures, generate a parameter-temperature relationship model, including:

[0015] Perform fitting processing on the electrical parameters of different values of the laser and their respective corresponding temperatures through a linear function to obtain a parameter-temperature relationship model:

[0016] ;

[0017] Wherein, y represents the electrical parameter, b represents the deviation compensation coefficient, x represents the temperature, k represents the fitting coefficient.

[0018] In some embodiments, the current electrical parameters include current voltage parameters and current current parameters. Calculating the predicted heat generation of the laser according to the current electrical parameters includes:

[0019] Determine the heating power according to the product of the current voltage parameter, the current current parameter, and the conversion efficiency of the laser;

[0020] Determine the predicted heat generation according to the heating power and the energization time of the laser.

[0021] In some embodiments, calculating the predicted cooling capacity according to the predicted heat generation and the actual heat generation includes:

[0022] Construct a PID algorithm model with the predicted heat generation as the target value, the actual heat generation as the actual value, and the error between the target value and the actual value as the deviation value;

[0023] Calculate the predicted cooling capacity according to the PID algorithm model.

[0024] In some embodiments, the method further includes:

[0025] Monitor the actual temperature of the refrigeration device;

[0026] Determine the actual heat generation of the laser in combination with the actual temperature;

[0027] When the error between the actual heat generation and the predicted heat generation is greater than a preset threshold, increase the proportional coefficient of the PID algorithm model.

[0028] In some embodiments, the method further includes:

[0029] Monitor the actual temperature of the refrigeration device;

[0030] When the actual temperature is greater than the preset temperature threshold, generate an alarm signal.

[0031] In some embodiments, the method further includes: obtaining the actual output power of the laser, and determining the actual heat generation of the laser according to the actual output power, including:

[0032] Determine the actual heat generation power according to the actual output power and the conversion efficiency of the laser;

[0033] Determine the actual heat generation according to the actual heat generation power and the energization time of the laser.

[0034] In a second aspect, a control device for a laser refrigeration device is provided, and the device includes:

[0035] An electrical parameter acquisition module, configured to acquire the current electrical parameters of the laser;

[0036] A heat generation prediction module, configured to calculate the predicted heat generation of the laser according to the current electrical parameters;

[0037] An actual heat generation calculation module, configured to obtain the actual output power of the laser, and calculate the actual heat generation of the laser according to the actual output power;

[0038] A refrigeration capacity prediction module, configured to calculate the predicted refrigeration capacity according to the predicted heat generation and the actual heat generation, and adjust the current refrigeration capacity of the refrigeration device corresponding to the laser according to the predicted refrigeration capacity.

[0039] In a third aspect, a control device for a laser is provided, including a memory, a processor, and computer-readable instructions stored on the memory and executable on the processor. When the processor executes the computer-readable instructions, the control of the laser refrigeration device according to any item of the first aspect is realized.

[0040] In a fourth aspect, a laser system is provided, and the laser system includes a refrigeration device, a control device, a laser, and a laser power supply;

[0041] The refrigeration device is connected to the laser and the control device, and is configured to cool and control the laser according to the initial refrigeration capacity and / or the predicted refrigeration capacity sent by the control device;

[0042] The laser power supply is connected to the laser and the control device, and is configured to provide a voltage corresponding to the current electrical parameters for the laser according to the current electrical parameters sent by the control device;

[0043] The control device is configured to execute the steps of the laser refrigeration device control method according to any item of the first aspect.

[0044] The above-mentioned laser cooling device control method, device, control device and laser system calculate the predicted heat generation of the laser according to the current electrical parameters of the laser, collect the actual output power of the laser to determine the actual heat generation of the laser, and then calculate the predicted cooling capacity and control the cooling device according to the predicted heat generation and the actual heat generation. By adopting this solution, by responding in real time to the current electrical parameters input by the user, aiming at the input current electrical parameters and combining with the current actual output power of the laser, the predicted cooling capacity matching the current electrical parameters can be accurately and timely calculated, so that the dynamic and accurate adjustment of the cooling capacity of the laser cooling device can be realized, and further the stability of the output power of the laser system can be improved. Brief Description of the Drawings

[0045] Figure 1 It is a schematic structural diagram of a laser system in some embodiments;

[0046] Figure 2 It is a schematic flowchart of a laser cooling device control method in some embodiments;

[0047] Figure 3 It is a schematic flowchart of a laser cooling device control method in some application examples;

[0048] Figure 4 It is a structural block diagram of a laser cooling device control device in some embodiments;

[0049] Figure 5 It is an internal structural diagram of a control device in some embodiments. Detailed Description of the Embodiments

[0050] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0051] The laser cooling device control method provided by the present application can be applied to an application environment as Figure 1 shown. Among them, Figure 1 shown is a schematic structural diagram of a laser system in some embodiments.

[0052] As Figure 1 , a laser system 10 is provided. The laser system 10 may include a cooling device 120, a control device 110, a laser 140, and a laser power supply 130;

[0053] The cooling device 120 is connected to the laser 140 and the control device 110, and is used to perform cooling control on the laser according to the initial cooling capacity and / or predicted cooling capacity sent by the control device 110;

[0054] The laser power supply 130 is connected to the laser 140 and the control device 110, and is configured to provide a voltage corresponding to the current electrical parameters for the laser according to the current electrical parameters sent by the control device 110;

[0055] The control device 110 is configured to execute a control method for a laser cooling device. Specifically, it may include the following steps: obtaining the current electrical parameters of the laser 140; determining the predicted heat generation amount of the laser 140 according to the current electrical parameters; obtaining the actual output power of the laser 140, and determining the actual heat generation amount of the laser 140 according to the actual output power; calculating the predicted cooling capacity according to the predicted heat generation amount and the actual heat generation amount; and adjusting the current cooling capacity of the cooling device 120 corresponding to the laser 140 according to the predicted cooling capacity.

[0056] Exemplarily, the laser system 10 may further include an operation display device 150. The operation display device 150 can visually display the control panel of the laser system 10 to the user, and can allow the user to input control parameters for controlling the laser, such as electrical parameters, etc. through the operation display device 150. Thereby improving the visualization and convenience of the user's control of the laser system 10.

[0057] Exemplarily, the laser system 10 may further include an optical fiber coupling device 160. The optical fiber coupling device 160 is used for coupling the laser emitted by the laser, thereby improving the beam transmission quality.

[0058] In some embodiments, as Figure 2 shown, a control method for a laser cooling device is provided. Taking the method applied to the control device 110 of the laser system 10 in Figure 1 as an example for illustration, it may include the following steps:

[0059] Step S202: Obtain the current electrical parameters of the laser.

[0060] Wherein, the electrical parameters refer to control parameters such as the voltage and current for controlling the laser to emit light. The current electrical parameters refer to the electrical parameters of a specific value currently selected or input by the user.

[0061] In this step, the user can input the electrical parameters of the expected value through, for example, an operation display device, etc., and the control device can use the input electrical parameters of the expected value as the current electrical parameters.

[0062] Step S204: Determine the predicted heat generation amount of the laser according to the current electrical parameters;

[0063] In this step, the control device can predict the heating power of the laser according to the current electrical parameters. It can predict the possible heat generation of the laser based on the correlation between the values of the current electrical parameters, the energization time of the laser, the model of the laser, the electro-thermal conversion rate of the laser, etc., so as to obtain the predicted heat generation.

[0064] Step S206: Obtain the actual output power of the laser, and determine the actual heat generation of the laser according to the actual output power.

[0065] After the control device obtains the current electrical parameters, on the one hand, it calculates the predicted heat generation according to the content recorded in step S204. On the other hand, it converts the current electrical parameters into an analog signal of corresponding magnitude and sends it to the laser power supply to control the laser power supply to provide power to the laser according to the converted analog signal, so as to realize laser output.

[0066] In this step, after the laser starts laser output, the control device can also collect the actual output power of the laser and reverse calculate the actual heat generation of the laser according to the actual output power of the laser.

[0067] Step S208: Determine the predicted cooling capacity according to the predicted heat generation and the actual heat generation, and adjust the current cooling capacity of the cooling device corresponding to the laser according to the predicted cooling capacity.

[0068] In this step, the control device can predict the heat generation according to the currently received electrical parameters in real time, and collect the actual output power of the laser in real time. Compare the actual heat generation obtained by reverse calculation based on the actual output power with the predicted heat generation. If the two do not match, the predicted cooling capacity can be determined according to the difference between the two, so as to adjust the current cooling capacity of the cooling device in time according to the predicted cooling capacity.

[0069] Exemplarily, the difference between the predicted cooling capacity and the current cooling capacity can be proportional to the difference between the predicted heat generation and the actual heat generation. That is, the cooling capacity of the cooling device is balanced and offset with the heat generation of the laser, so as to achieve thermal equilibrium and realize stable output of laser power.

[0070] In the above laser cooling device control method, the predicted heat generation of the laser is calculated based on the current electrical parameters of the laser, and the actual output power of the laser is collected to determine the actual heat generation of the laser. Then, the predicted cooling capacity is calculated based on the predicted heat generation and the actual heat generation, and the cooling device is controlled according to the predicted cooling capacity. By adopting this solution, by responding in real time to the current electrical parameters input by the user, for different current electrical parameters and in combination with the actual output power of the laser, the predicted cooling capacity matching the current electrical parameters can be accurately and timely calculated, so that the dynamic and accurate adjustment of the cooling capacity of the laser cooling device can be realized, and further the stability of the output power of the laser system can be improved.

[0071] In some embodiments, the method further includes: generating a parameter-temperature relationship model according to the correlation between the electrical parameters with different values of the laser and their respective corresponding temperature values; obtaining the initial temperature value corresponding to the initial value electrical parameter according to the initial value electrical parameter of the laser and the parameter-temperature relationship model; and determining the initial cooling capacity of the cooling device according to the initial temperature value.

[0072] In this embodiment, a model representing the correlation between electrical parameters with different values and their respective corresponding temperature values, that is, a parameter-temperature relationship model, can be pre-constructed. Exemplarily, in the control device, the expected temperature values corresponding to different types or different values of electrical parameters can be calculated in advance through a software algorithm, and each value of the electrical parameter is associated with its corresponding expected temperature value, so as to form a dynamically adjustable parameter table, and a parameter-temperature relationship model is constructed according to the parameter table.

[0073] In this embodiment, by constructing a parameter-temperature relationship model, at the initial stage of starting the laser system, by calling the parameter-temperature relationship model, the initial temperature value corresponding to the initial value electrical parameter can be quickly and accurately determined, so that when the laser system starts, the cooling device is started according to the initial cooling capacity of the cooling device corresponding to the initial temperature value, thereby ensuring that the operating temperature of the laser system in the initial stage is close to the expected initial temperature value.

[0074] In some embodiments, generating a parameter-temperature relationship model according to the correlation between the electrical parameters with different values of the laser and their respective corresponding temperatures includes: performing fitting processing on the electrical parameters with different values of the laser and their respective corresponding temperatures through a linear function to obtain the parameter-temperature relationship model:

[0075] ;

[0076] wherein, y represents the electrical parameter, b represents the deviation compensation coefficient, x represents the temperature, k represents the fitting coefficient.

[0077] In this embodiment, for the electrical parameters y , for example, it can be a voltage parameter, and it can be processed by fitting with a linear function to obtain a parameter-temperature relationship model that conforms to a linear relationship. Among them, the fitting coefficient k can be obtained by testing according to historical data.

[0078] In some embodiments, the current electrical parameters include the current voltage parameter and the current current parameter. Calculating the predicted heat generation of the laser according to the current electrical parameters includes: determining the heat generation power according to the product of the current voltage parameter, the current current parameter, and the conversion efficiency of the laser; determining the predicted heat generation according to the heat generation power and the energization time of the laser.

[0079] In this embodiment, the current voltage parameter and the current current parameter are the voltage value and current value input by the user currently.

[0080] Exemplarily, the predicted heat generation can be calculated according to the following formula:

[0081] ;

[0082] ;

[0083] Among them, Q : represents the predicted heat generation, P 热 : represents the heat generation power of the laser, U : represents the current voltage parameter input by the user, I : represents the current current parameter input by the user, t : represents the energization time of the laser, η : represents the conversion efficiency of the laser.

[0084] Through this embodiment, multiple parameters during the operation of the laser can be considered more comprehensively, the accuracy of calculating the predicted heat generation can be improved, thereby improving the accuracy of controlling the laser cooling equipment, and further improving the stability of the laser light output.

[0085] In some embodiments, calculating the predicted cooling capacity according to the predicted heat generation and the actual heat generation includes: constructing a PID (Proportional-Integral-Derivative) algorithm model with the predicted heat generation as the target value, the actual heat generation as the actual value, and the error between the target value and the actual value as the deviation value; calculating the predicted cooling capacity according to the PID algorithm model.

[0086] In this embodiment, the control device can perform a more accurate calculation of the predicted cooling capacity by adopting the PID algorithm model, thereby improving the accuracy of temperature control.

[0087] Among them, in the PID algorithm model of this embodiment:

[0088] Target value: The predicted calorific value calculated according to the currently input electrical parameters;

[0089] Actual value: The actual calorific value inversely deduced according to the actual output optical power of the laser;

[0090] Deviation value: The error between the target value and the actual value;

[0091] Output value: The calculated predicted cooling capacity.

[0092] Construct a proportional term P (proportional to the current error), an integral term I (proportional to the cumulative amount of error), and a differential term D (proportional to the rate of change of error) according to the correlation relationships of the above-determined parts, thereby generating a PID algorithm model.

[0093] In this embodiment, using the predicted cooling capacity output by the PID algorithm model can improve the calculation accuracy of the predicted cooling capacity, thereby improving the temperature control accuracy of the laser system.

[0094] In some embodiments, obtaining the actual output power of the laser and determining the actual calorific value of the laser according to the actual output power includes: determining the actual heating power according to the actual output power and the conversion efficiency of the laser; determining the actual calorific value according to the actual heating power and the energization time of the laser.

[0095] In this embodiment, the actual calorific value of the current laser can be inversely deduced and verified by collecting the current actual output power of the laser. First, the heating power P of the laser can be determined according to the actual output power and the conversion efficiency of the laser 热 , and then, according to Q = P * t， the actual calorific value can be obtained, where t represents the energization time of the laser.

[0096] In this embodiment, since there is a corresponding relationship between the actual calorific value and the actual output power, the actual calorific value can be reflected by monitoring the actual output power of the laser, thereby improving the monitoring efficiency and accuracy of the actual calorific value, and further improving the prediction accuracy of the actual cooling capacity calculated in combination with the actual calorific value.

[0097] In some embodiments, the method further includes: monitoring the actual temperature of the refrigeration device; determining the actual calorific value of the laser in combination with the actual temperature; when the error between the actual calorific value and the predicted calorific value is greater than a preset threshold, increasing the proportional coefficient of the PID algorithm model.

[0098] In this embodiment, since the cooling medium (e.g., water, etc.) of the refrigeration device will increase in temperature as the laser operates, and the increase in the temperature of the cooling medium will further cause an increase in the actual heat generation of the laser. Therefore, in this embodiment, the actual heat generation can be determined by monitoring the actual temperature of the refrigeration device and combining the actual temperature of the refrigeration device. Once the deviation value (the error between the actual heat generation and the predicted heat generation) input into the PID model becomes larger and exceeds the preset threshold, the K p (proportional coefficient) in the PID algorithm model can be adjusted in a timely and dynamic manner. Among them, K p is a parameter used to control the response speed of the system. K p The larger it is, the faster the model's response speed to the error will be, and the more rapid the system adjustment will be. Therefore, when the deviation value exceeds the preset threshold, the proportional coefficient of the PID algorithm model can be increased K p to reduce the delay of refrigeration.

[0099] Exemplarily, according to the empirical values obtained from the preliminary debugging tests, the K p adjustment step size and adjustment range can be controlled to ensure that the fluctuation of the output power of the laser is less than a preset percentage, for example, less than 0.5%. Thus, the stability of the output power of the laser can be accurately controlled.

[0100] In some embodiments, the method further includes: monitoring the actual temperature of the refrigeration device; generating an alarm signal when the actual temperature is greater than the preset temperature threshold.

[0101] In this embodiment, the temperature of the cooling medium in the refrigeration device can be monitored in real time. If the temperature exceeds the preset safe temperature range, that is, when it exceeds the preset temperature threshold, the control device can trigger an alarm mechanism to generate an alarm signal, thereby timely reminding the operator to make adjustments or stop the operation.

[0102] Next, in combination with an application example, the laser refrigeration device control method of the present application will be explained in more detail. Specifically, refer to Figure 3 as shown, Figure 3 shows a schematic flow chart of the laser refrigeration device control method in some application examples, which may specifically include the following steps:

[0103] S1: Construct a parameter-temperature relationship model.

[0104] Specifically, the control device can calculate in advance the expected temperature values corresponding to different types or different values of electrical parameters through software algorithms, associate each value of the electrical parameter with its corresponding expected temperature value, thereby forming a dynamically adjustable parameter table, and construct a parameter-temperature relationship model based on this parameter table.

[0105] S2: Set the initial cooling capacity according to the temperature determined by the initial value of the electrical parameter and the parameter-temperature relationship model, and start the refrigeration device.

[0106] Specifically, when the laser system starts, start the refrigeration device according to the preset initial cooling capacity to ensure that the initial operating temperature of the device is close to the target value.

[0107] S3: Receive the input current electrical parameter and supply power to the laser power supply according to the current electrical parameter.

[0108] Specifically, take the latest electrical parameter input by the operator as the current electrical parameter. The control device converts the current electrical parameter into an analog signal and sends it to the laser power supply, so that the laser power supply provides power to the laser according to this analog signal to achieve the output of the laser.

[0109] S4: Calculate the predicted heat generation according to the current electrical parameter, calculate the predicted cooling capacity according to the predicted heat generation, and send the predicted cooling capacity to the refrigeration device.

[0110] Specifically, according to the input current electrical parameter, the control device can calculate the predicted heat generation of the laser in real time and transfer the calculation result to the refrigeration device, so that the refrigeration device dynamically adjusts its cooling capacity according to the calculated predicted heat generation to maintain the thermal balance of the laser system.

[0111] S5: Use the PID algorithm model to optimize and correct the predicted cooling capacity.

[0112] Specifically, by monitoring the actual output power of the laser, inversely calculate the actual heat generation of the laser, and use the PID algorithm model to correct the predicted cooling capacity of the refrigeration device, thereby improving the temperature control accuracy of the laser system and ensuring the stability of the output power of the laser system.

[0113] S6: Monitor the temperature of the refrigerant in the refrigeration device, and determine whether the temperature of the refrigerant is greater than the preset temperature threshold. If so, enter S7; if not, enter S8.

[0114] S7: Generate an alarm signal.

[0115] S8: Calculate the actual heat generation in combination with the temperature of the refrigerant, and determine whether the error between the actual heat generation and the predicted heat generation is greater than the preset threshold; if so, enter S9; if not, enter S10.

[0116] S9: Increase the proportionality coefficient of the PID algorithm model.

[0117] S10: Maintain the proportionality coefficient of the preset PID algorithm model.

[0118] It should be understood that although Figure 2 and Figure 3 each step in the flowcharts of Figure 2 and Figure 3 is shown sequentially according to the indication of the arrows, these steps are not necessarily executed sequentially in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps has no strict order restriction, and these steps can be executed in other orders. Moreover,

[0119] In some embodiments, as Figure 4 shown, a control device for a laser cooling device is provided, including: an electrical parameter acquisition module 410, a heat generation prediction module 420, an actual heat generation calculation module 430, and a cooling capacity prediction module 440, where:

[0120] The electrical parameter acquisition module 410 is configured to acquire the current electrical parameters of the laser;

[0121] The heat generation prediction module 420 is configured to calculate the predicted heat generation of the laser according to the current electrical parameters;

[0122] The actual heat generation calculation module 430 is configured to acquire the actual output power of the laser and calculate the actual heat generation of the laser according to the actual output power;

[0123] The cooling capacity prediction module 440 is configured to calculate the predicted cooling capacity according to the predicted heat generation and the actual heat generation, and adjust the current cooling capacity of the cooling device corresponding to the laser according to the predicted cooling capacity.

[0124] In some embodiments, the electrical parameter acquisition module 410 is further configured to generate a parameter-temperature relationship model according to the correlation between the electrical parameters with different values of the laser and their respective corresponding temperature values; obtain the initial temperature value corresponding to the initial value of the electrical parameters according to the initial value of the electrical parameters of the laser and the parameter-temperature relationship model; and determine the initial cooling capacity of the cooling device according to the initial temperature value.

[0125] In some embodiments, the electrical parameter acquisition module 410 is further configured to perform a fitting process on the electrical parameters with different values of the laser and their respective corresponding temperatures through a linear function to obtain a parameter-temperature relationship model:

[0126] ;

[0127] Wherein, y represents the electrical parameter, b represents the deviation compensation coefficient, x represents the temperature, k represents the fitting coefficient.

[0128] In some embodiments, the heat generation prediction module 420 is specifically configured to determine the heat generation power according to the product of the current voltage parameter, the current current parameter, and the conversion efficiency of the laser; determine the predicted heat generation according to the heat generation power and the energization time of the laser.

[0129] In some embodiments, the cooling capacity prediction module 440 is specifically configured to construct a PID algorithm model by using the predicted heat generation as the target value, the actual heat generation as the actual value, and the error between the target value and the actual value as the deviation value; calculate the predicted cooling capacity according to the PID algorithm model.

[0130] In some embodiments, the cooling capacity prediction module 440 is further configured to monitor the actual temperature of the refrigeration device; determine the actual heat generation of the laser in combination with the actual temperature; when the error between the actual heat generation and the predicted heat generation is greater than a preset threshold, increase the proportional coefficient of the PID algorithm model.

[0131] In some embodiments, the cooling capacity prediction module 440 is further configured to monitor the actual temperature of the refrigeration device; generate an alarm signal when the actual temperature is greater than a preset temperature threshold.

[0132] In some embodiments, the actual heat generation calculation module 430 is specifically configured to determine the actual heat generation power according to the actual output power and the conversion efficiency of the laser; determine the actual heat generation according to the actual heat generation power and the energization time of the laser.

[0133] For the specific limitations of the laser refrigeration device control device, reference may be made to the limitations of the laser refrigeration device control method in the above text, which will not be elaborated here. Each module in the above laser refrigeration device control device can be implemented in whole or in part by software, hardware, and their combination. The above modules can be embedded in the processor of the computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the above each module.

[0134] In some embodiments, a control device for a laser is provided. The control device for the laser can be a computer device, such as a terminal, e.g., a master control terminal. Its internal structure diagram can be as Figure 5 shown. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and computer-readable instructions. The internal memory provides an environment for the operation of the operating system and computer-readable instructions in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer-readable instructions are executed by the processor, a control method for a laser cooling device is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covering the display screen, or a button, a trackball, or a touchpad provided on the outer shell of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0135] Those skilled in the art can understand that Figure 5 the structure shown in

[0136] is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0137] In some embodiments, when the processor executes the computer-readable instructions, the following steps are further implemented: generating a parameter-temperature relationship model according to the association relationship between the electrical parameters with different values of the laser and their respective corresponding temperature values; obtaining the initial temperature value corresponding to the initial value of the electrical parameters according to the initial value of the electrical parameters of the laser and the parameter-temperature relationship model; and determining the initial cooling capacity of the cooling device according to the initial temperature value.

[0138] In some embodiments, when the processor executes the computer-readable instructions, the following steps are further implemented: fitting the electrical parameters with different values of the laser and their respective corresponding temperatures through a linear function to obtain a parameter-temperature relationship model:

[0139] ;

[0140] wherein, y represents the electrical parameter, b represents the deviation compensation coefficient, x represents the temperature, k represents the fitting coefficient.

[0141] In some embodiments, when the processor executes the computer-readable instructions, the following steps are further implemented: determining the heat generation power according to the product of the current voltage parameter, the current current parameter, and the conversion efficiency of the laser; determining the predicted heat generation amount according to the heat generation power and the energization time of the laser.

[0142] In some embodiments, when the processor executes the computer-readable instructions, the following steps are further implemented: constructing a PID algorithm model with the predicted heat generation amount as the target value, the actual heat generation amount as the actual value, and the error between the target value and the actual value as the deviation value; calculating the predicted cooling capacity according to the PID algorithm model.

[0143] In some embodiments, when the processor executes the computer-readable instructions, the following steps are further implemented: monitoring the actual temperature of the refrigeration device; determining the actual heat generation amount of the laser in combination with the actual temperature; when the error between the actual heat generation amount and the predicted heat generation amount is greater than a preset threshold, increasing the proportional coefficient of the PID algorithm model.

[0144] In some embodiments, when the processor executes the computer-readable instructions, the following steps are further implemented: monitoring the actual temperature of the refrigeration device; generating an alarm signal when the actual temperature is greater than a preset temperature threshold.

[0145] In some embodiments, when the processor executes the computer-readable instructions, the following steps are further implemented: determining the actual heat generation power according to the actual output power and the conversion efficiency of the laser; determining the actual heat generation amount according to the actual heat generation power and the energization time of the laser.

[0146] In some embodiments, a computer-readable storage medium or a computer program product may further be provided, on which computer-readable instructions are stored, and when the computer-readable instructions are executed by a processor, the laser refrigeration device control method of any of the above embodiments is implemented.

[0147] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through computer-readable instructions. The computer-readable instructions can be stored in a non-volatile computer-readable storage medium. When the computer-readable instructions are executed, they can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the various embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0148] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, 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, it should be considered as the scope described in this specification.

[0149] In addition, the term "and / or" in this article is merely an association relationship describing associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the characters in this article generally represent an "or" relationship between the associated objects before and after.

[0150] The above-described embodiments only represent several implementation manners of the present application. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application should be subject to the appended claims.

[0151] It should be noted that in the embodiments of the present application, for data related to user information or user data, etc., it is necessary to obtain the user's authorization and consent before acquisition and processing. When the embodiments of the present application are applied to specific products or technologies, the user's permission or consent needs to be obtained, and the collection, use, and processing of relevant data need to comply with the relevant laws, regulations, and standards of the relevant countries and regions.

Claims

1. A control method for a laser cooling device, where the laser is a medical laser, and the method includes: Generating a parameter-temperature relationship model according to the correlation between the electrical parameters with different values of the laser and their respective corresponding temperature values; Determining the initial cooling capacity of the cooling device according to the initial value electrical parameters of the laser and the parameter-temperature relationship model; Obtaining the current electrical parameters of the laser; Determining the predicted heat generation of the laser according to the current electrical parameters; Obtaining the actual output power of the laser, and determining the actual heat generation of the laser according to the actual output power; Constructing a PID algorithm model according to the predicted heat generation and the actual heat generation, and calculating the predicted cooling capacity according to the PID algorithm model; Adjusting the current cooling capacity of the cooling device corresponding to the laser according to the predicted cooling capacity; The method further includes: Monitoring the actual temperature of the cooling device; Determining the actual heat generation of the laser in combination with the actual temperature; When the error between the actual heat generation and the predicted heat generation is greater than a preset threshold, increasing the proportional coefficient of the PID algorithm model; where the proportional coefficient is a parameter for controlling the system response speed.

2. The method according to claim 1, wherein The generating a parameter-temperature relationship model according to the correlation between the electrical parameters with different values of the laser and their respective corresponding temperatures includes: Performing a fitting process on the electrical parameters with different values of the laser and their respective corresponding temperatures through a linear function to obtain the parameter-temperature relationship model: ; Among them, y represents an electrical parameter, b represents a deviation compensation coefficient, x represents temperature, k represents a fitting coefficient.

3. The method according to claim 1, characterized in that The current electrical parameters include the current voltage parameter and the current current parameter, and the calculating the predicted heat generation of the laser according to the current electrical parameters includes: Determining the heating power according to the product of the current voltage parameter, the current current parameter, and the conversion efficiency of the laser; Determining the predicted heat generation according to the heating power and the energization time of the laser.

4. The method according to claim 1, wherein The constructing a PID algorithm model according to the predicted heat generation and the actual heat generation includes: Constructing a PID algorithm model with the predicted heat generation as the target value, the actual heat generation as the actual value, and the error between the target value and the actual value as the deviation value.

5. The method according to claim 1, wherein The method further includes: Monitoring the actual temperature of the cooling device; Generating an alarm signal when the actual temperature is greater than a preset temperature threshold.

6. The method according to claim 1, wherein The obtaining the actual output power of the laser and determining the actual heat generation of the laser according to the actual output power includes: Determining the actual heating power according to the actual output power and the conversion efficiency of the laser; Determining the actual heat generation according to the actual heating power and the energization time of the laser.

7. A control device for a laser cooling device, characterized in that, The device includes: An electrical parameter acquisition module, configured to generate a parameter-temperature relationship model according to the correlation between the electrical parameters with different values of the laser and their respective corresponding temperature values; obtaining the initial temperature value corresponding to the initial value electrical parameters according to the initial value electrical parameters of the laser and the parameter-temperature relationship model; determining the initial cooling capacity of the cooling device according to the initial temperature value; The electrical parameter acquisition module is further configured to acquire the current electrical parameters of the laser; wherein, the laser is a medical laser; The heat generation prediction module is configured to calculate the predicted heat generation of the laser according to the current electrical parameters; The actual heat generation calculation module is configured to acquire the actual output power of the laser and calculate the actual heat generation of the laser according to the actual output power; The cooling capacity prediction module is configured to construct a PID algorithm model according to the predicted heat generation and the actual heat generation, calculate the predicted cooling capacity according to the PID algorithm model, and adjust the current cooling capacity of the cooling device corresponding to the laser according to the predicted cooling capacity; The cooling capacity prediction module is further configured to monitor the actual temperature of the cooling device; determine the actual heat generation of the laser in combination with the actual temperature; and increase the proportional coefficient of the PID algorithm model when the error between the actual heat generation and the predicted heat generation is greater than a preset threshold; wherein, the proportional coefficient is a parameter for controlling the system response speed.

8. A control device for a laser, comprising a memory, a processor, and computer-readable instructions stored on the memory and executable on the processor, characterized in that, When the processor executes the computer-readable instructions, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A laser system, characterized in that, The laser system includes a cooling device, a control device, a laser, and a laser power supply; The cooling device is connected to the laser and the control device and is configured to perform cooling control on the laser according to the initial cooling capacity and / or the predicted cooling capacity sent by the control device; The laser power supply is connected to the laser and the control device and is configured to provide a voltage corresponding to the current electrical parameters for the laser according to the current electrical parameters sent by the control device; The control device is configured to execute the steps of the method according to any one of claims 1 to 6.

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