A method, system, storage medium and luminaire for controlling heat dissipation

Abstract

The application provides a heat dissipation control method, system, storage medium and lamp, and relates to the technical field of heat dissipation. The method comprises the following steps: acquiring an environment state parameter of a lamp to be controlled; inputting the current environment state parameter into a trained model to obtain a control parameter output by the model; the model is obtained by training a neural network model based on a loss function corresponding to the pressure difference between an air inlet and an air outlet in the environment state parameter, and the loss function is obtained by marking sample data with environment state parameters, control parameters and a final temperature; and the fan of the lamp is controlled based on the control parameter to optimize the heat dissipation of the lamp, so that the temperature of the lamp is less than or equal to the final temperature. The method can reduce the influence of the spoiler, control the flow of air in the flow channel in a stable laminar state, and effectively improve the heat dissipation efficiency.

Description

Technical Field

[0001] The present application relates to the field of heat dissipation technology, and in particular to a method, system, storage medium and lamp for controlling heat dissipation. Background Art

[0002] When lamps are working, they generate heat. For lamps with high heat generation or high power (such as fill lights), active heat dissipation is required to cool the lamps.

[0003] Taking the fill light as an example, the lamp beads of the fill light will generate a lot of heat when working. In order to improve the heat dissipation efficiency, fans are usually used to dissipate heat from the lamp beads. The current heat dissipation methods are as follows:

[0004] By detecting the temperature of the lamp beads, the fan is started when the temperature reaches the preset value, and the fan speed is adjusted according to the degree to which the temperature is higher than the set value.

[0005] Because air flow in air ducts is affected by factors such as velocity, fin shape, and gravity, it erratically collides with each other, slowing down and creating turbulence, which in turn leads to inefficient heat dissipation. For these reasons, manufacturers are using high-speed fans and larger heat sinks to improve heat dissipation efficiency. This has resulted in the following drawbacks for high-power lighting products on the market: increasing size, weight, and noise. Summary of the Invention

[0006] The purpose of this application is to overcome the defects of the prior art and provide a method, system, storage medium and lamp for controlling heat dissipation to solve the problems in the prior art.

[0007] To solve the above problems, a first aspect of an embodiment of the present application provides a method for controlling heat dissipation, the method comprising:

[0008] Get the current environmental status parameters of the lamp to be controlled;

[0009] Inputting the current environmental state parameters into the trained model to obtain the control parameters output by the model; the model is obtained by training a neural network model based on sample data labeled with environmental state parameters, control parameters, and final temperature, and based on a loss function that minimizes the pressure difference between the air inlet and the air outlet corresponding to the environmental state parameters;

[0010] The fan of the lamp is controlled based on the control parameter to optimize the heat dissipation of the lamp so that the temperature of the lamp is less than or equal to the final temperature.

[0011] In an optional implementation, the environmental state parameters include: lamp posture, air density, air flow rate at a preset position on the lamp, wind noise at a preset position on the lamp, and wind pressure at a preset position on the lamp.

[0012] In an optional implementation, the control parameter includes a rotational speed of the fan.

[0013] In an optional implementation, the lamps of the same type correspond to the same model, and the lamps of different types correspond to different models; the model is trained based on sample data of the corresponding lamps and a loss function;

[0014] Inputting the current environmental state parameters into the trained model to obtain the control parameters output by the model includes:

[0015] The current environmental state parameters are input into the trained model corresponding to the lamp to be controlled to obtain the control parameters output by the model.

[0016] In an optional implementation, the control parameter includes a fan speed;

[0017] If the model outputs multiple control parameters, the “controlling the fan of the lamp based on the control parameters” includes:

[0018] Selecting the control parameter with the lowest rotation speed from the multiple control parameters output by the model as the final parameter;

[0019] The fan of the lamp is controlled based on the final parameter.

[0020] In a second aspect of an embodiment of the present application, a system for controlling heat dissipation is provided, the system comprising:

[0021] The acquisition module is used to obtain the current environmental state parameters of the lamp to be controlled;

[0022] a calculation module, configured to input the current environmental state parameters into a trained model to obtain control parameters output by the model; the model is obtained by training a neural network model using sample data labeled with the environmental state parameters, the control parameters, and the final temperature, and based on a loss function that minimizes the pressure difference between the air inlet and the air outlet in the environmental state parameters;

[0023] A control module is configured to control the fan of the lamp based on the control parameters to optimize the heat dissipation of the lamp so that the temperature of the lamp is less than or equal to the final temperature.

[0024] In an optional implementation, the environmental state parameters further include: lamp posture, air density, air flow rate at a preset position on the lamp, wind noise at a preset position on the lamp, and wind pressure at a preset position on the lamp.

[0025] In an optional implementation, the control parameter includes a rotational speed of the fan.

[0026] According to a third aspect of an embodiment of the present application, a readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method for controlling heat dissipation as described above is implemented.

[0027] In a fourth aspect of an embodiment of the present application, a lamp is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method for controlling heat dissipation as described above when executing the computer program.

[0028] The beneficial effects of this application are:

[0029] The current environmental state parameters of the lamp to be controlled are obtained, and the control parameters of the model output are obtained based on the loss function corresponding to the minimum pressure difference between the air inlet and the air outlet in the environmental state parameters. The fan of the lamp is controlled by the control parameters to optimize the heat dissipation of the lamp so that the temperature of the lamp is less than or equal to the final temperature.

[0030] When the fan is controlled using control parameters, the pressure difference between the air inlet and the air outlet is kept to a minimum, so that the temperature of the lamp is less than or equal to the final temperature. This reduces the irregular collision of air in the airway, greatly reduces the turbulent pressure, and allows heat to be discharged from the air outlet more quickly.

[0031] The method for controlling heat dissipation proposed in the present application can reduce the influence of turbulence, control the flow of air in the flow channel to a laminar stable state, and effectively improve the efficiency of heat dissipation. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0033] Figure 1 A flow chart showing a method for controlling heat dissipation is shown;

[0034] Figure 2 A comparison diagram of the rotation speed of a conventional fan and the rotation speed of a dynamic fan is shown;

[0035] Figure 3 A comparison chart showing the air flow rate and the surface temperature of the lamp beads when conducting a comparative test between an existing fan and a dynamic fan is shown;

[0036] Figure 4 A comparison chart showing the air flow rate and the inlet and outlet pressure difference when conducting a comparative test between an existing fan and a dynamic fan is shown;

[0037] Figure 5 A structural diagram of a system for controlling heat dissipation is shown.

[0038] Description of main component symbols:

[0039] 11-acquisition module; 12-calculation module; 13-control module. DETAILED DESCRIPTION

[0040] The following describes the embodiments of the present application in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making any creative work are within the scope of protection of the present application.

[0041] Example

[0042] like Figure 1 As shown, in this embodiment, a method for controlling heat dissipation is proposed, and the method includes the following steps:

[0043] S1, obtain the current environmental state parameters of the lamp to be controlled;

[0044] S2, input the current environmental state parameters into the trained model to obtain the control parameters output by the model;

[0045] S3, controlling the fan of the lamp based on the control parameters to optimize the heat dissipation of the lamp so that the temperature of the lamp is less than or equal to the final temperature.

[0046] The final temperature is not a fixed value and can be set and adjusted according to actual conditions and needs.

[0047] In this embodiment, the model in step S2 can be obtained by training the neural network model based on the loss function corresponding to the minimum pressure difference between the air inlet and the air outlet in the environmental state parameters using sample data labeled with environmental state parameters, control parameters and final temperature.

[0048] The sample data of environmental state parameters, control parameters and final temperature are input into the model, and the neural network model is trained to minimize the loss function of the pressure difference between the inlet and outlet.

[0049] The fan speed can be controlled using Field-Oriented Control (FOC) technology. FOC (Field-Oriented Control), also known as vector frequency conversion, is currently the best choice for efficiently controlling brushless DC motors (BLDC) and permanent magnet synchronous motors (PMSM).

[0050] FOC precisely controls the size and direction of the magnetic field, making the motor torque stable, quiet, efficient, and with high-speed dynamic response.

[0051] Environmental status parameters include: lamp posture, air density, air flow rate at a preset position on the lamp, wind noise at a preset position on the lamp, and wind pressure at a preset position on the lamp.

[0052] Optionally, the lamp posture can be detected by devices such as angle sensors and gyroscopes.

[0053] Optionally, the air density can be detected by a device such as a gas density sensor.

[0054] Optionally, the air flow rate can be detected by a device such as a gas flow rate sensor.

[0055] Optionally, the wind noise can be detected by a device such as a decibel meter.

[0056] Optionally, the wind pressure can be detected by a device such as a wind pressure sensor.

[0057] In this embodiment, the control parameter includes the rotation speed of the fan.

[0058] By controlling the fan speed to minimize the pressure difference between the inlet and outlet, the lamp temperature is kept below or equal to the final temperature. This reduces the irregular collisions of air in the airway, significantly reducing the pressure of turbulence and allowing heat to be discharged from the outlet more quickly. This method of controlling heat dissipation reduces the impact of turbulence, keeping the air flow in the flow channel in a stable laminar state, and effectively improving heat dissipation efficiency. Thus, for a given lamp power, better heat dissipation can be achieved without replacing the fan with a higher speed or a larger radiator.

[0059] Different types of lamps vary due to factors such as power consumption, air duct structure, and fan size. To ensure effective heat dissipation, the same model is used for the same type of lamp, while different models are used for different types of lamps. Each model is trained based on sample data and a loss function for the corresponding lamp type.

[0060] Since the types of lamps correspond to the models one-to-one, in this embodiment, step S2 of "inputting the current environmental state parameters into the trained model to obtain the control parameters output by the model" includes:

[0061] The current environmental state parameters are input into the trained model corresponding to the lamp to be controlled to obtain the control parameters output by the model.

[0062] Furthermore, the control parameter includes a rotation speed of the fan.

[0063] If the model outputs multiple control parameters, in step S3, "controlling the fan of the lamp based on the control parameters" may include:

[0064] Selecting the control parameter with the lowest speed from the multiple control parameters output by the model as the final parameter;

[0065] The fan of the lamp is controlled based on the final parameters.

[0066] For easier understanding, the following examples are given to illustrate.

[0067] When the fan rotates at 1000r / min or 1500r / min, the following conditions are met: the temperature of the lamp is less than or equal to the final temperature; the pressure difference between the air inlet and the air outlet is minimal. At this time, the fan will be controlled to rotate at the lowest speed, that is, the fan speed is 1000r / min.

[0068] During the rotation of the fan, the fan speed is dynamically adjusted in real time with the goal of minimizing the pressure difference between the air inlet and outlet. This reduces irregular collisions of air in the airway and effectively reduces the pressure of invalid turbulence. In this way, under the conditions of a fixed air duct volume and a certain fan power, the optimal heat dissipation efficiency is achieved, and the lamp temperature is kept less than or equal to the final temperature.

[0069] Furthermore, the fan rotates at the lowest speed in the control parameters. This ensures heat dissipation efficiency and effectively reduces the noise generated by the fan rotation, which not only reduces energy consumption but also improves the user experience.

[0070] For the convenience of description, the fan controlled by the method proposed in this embodiment is referred to as a dynamic fan, and the fan controlled by the conventional control method is referred to as a conventional fan.

[0071] like Figure 2The figure below compares the speeds of a conventional fan and a dynamic fan under a preset operating condition. As can be seen from the figure, the conventional fan's speed remains nearly constant, while the dynamic fan's speed varies dynamically. The dynamic fan's speed constantly changes due to changing environmental parameters. By continuously adjusting the dynamic fan's rotation, the lamp's heat dissipation efficiency is maintained.

[0072] The method for controlling heat dissipation proposed in this embodiment is to achieve the optimal heat dissipation efficiency by constantly keeping the pressure difference between the air inlet and the air outlet at a minimum, thereby achieving the purpose of heat dissipation for the lamp.

[0073] like Figure 3 and Figure 4 As shown, the existing fan and the dynamic fan were applied to a 100W lamp respectively, and a comparative test of the heat dissipation effect was carried out, wherein the temperature of the lamp bead surface, the inlet and outlet pressure drop, and the air flow rate in the airway were measured respectively.

[0074] Reference Figure 2 、 Figure 3 and Figure 4 The existing fan and the dynamic fan respectively dissipate heat for the same lamp, and make the temperature of the lamp lower than the final temperature (for example, lower than 50℃). In the process of dissipating heat for the lamp:

[0075] Existing fan: When the temperature of the lamp is higher than the set temperature, the existing fan is activated. The higher the temperature of the lamp, the faster the existing fan rotates. Therefore, when the volume of the air duct is fixed, the high-speed rotation of the existing fan generates a large amount of ineffective wind pressure. In this process, the increased speed is not fully used for heat dissipation, resulting in low heat dissipation efficiency.

[0076] Dynamic fan: When the temperature of the lamp is higher than the set temperature, the dynamic fan is started. During this process, the goal is to always ensure that the pressure difference between the air inlet and outlet of the air duct is minimized. Through real-time dynamic adjustment, the irregular collision and deceleration of air in the air duct are reduced. Therefore, it can always ensure that almost all the air in the air duct is used for heat dissipation, thereby taking away the heat and maximizing the heat dissipation efficiency.

[0077] according to Figure 3 and Figure 4 It can be seen that the heat dissipation effect of the dynamic fan is significantly better than that of the existing fan.

[0078] Increasing the fan speed to keep the lamp temperature below or equal to the final temperature will only create more ineffective wind pressure and affect the heat dissipation effect. This embodiment proposes a heat dissipation control method that differs from traditional methods: it dynamically adjusts the fan speed based on changes in environmental parameters, thereby reducing irregular air collisions in the airway and effectively reducing the pressure of ineffective turbulence. In this way, with a fixed air duct volume and a certain fan power, optimal heat dissipation efficiency is achieved, ensuring that the lamp temperature is below or equal to the final temperature.

[0079] like Figure 5 As shown, in this embodiment, a system for controlling heat dissipation is also proposed, including:

[0080] An acquisition module 11 is used to obtain the current environmental state parameters of the lamp to be controlled;

[0081] The calculation module 12 is used to input the current environmental state parameters into the trained model to obtain the control parameters output by the model;

[0082] The control module 13 is configured to control the fan of the lamp based on the control parameters to optimize the heat dissipation of the lamp so that the temperature of the lamp is less than or equal to the final temperature.

[0083] The model is obtained by training the neural network model based on the loss function that minimizes the pressure difference between the air inlet and the air outlet in the environmental state parameters using sample data labeled with environmental state parameters, control parameters and final temperature.

[0084] In this embodiment, the environmental state parameters include: lamp posture, air density, air flow rate at a preset position on the lamp, wind noise at a preset position on the lamp, and wind pressure at a preset position on the lamp.

[0085] The control parameters include the speed of the fan.

[0086] In this embodiment, a readable storage medium is further provided, on which a computer program is stored. When the computer program is executed by a processor, the method for controlling heat dissipation described above is implemented.

[0087] In this embodiment, a lamp is further provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for controlling heat dissipation as described above is implemented.

[0088] Through the description of the above embodiments, those skilled in the art can clearly understand that the present application can be implemented by means of software plus necessary general-purpose hardware, and of course can also be implemented by dedicated hardware including application-specific integrated circuits, dedicated CPUs, dedicated memories, dedicated components, etc. In general, all functions performed by computer programs can be easily implemented with corresponding hardware, and the specific hardware structures used to implement the same function can also be diverse, such as analog circuits, digital circuits, or dedicated circuits. However, for the present application, software program implementation is a better implementation method in most cases. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a readable storage medium, such as a computer's floppy disk, USB flash drive, mobile hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, etc., including a number of instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0089] In the above embodiments, all or part of the embodiments may be implemented by software, hardware, firmware, or any combination thereof. When implemented by software, all or part of the embodiments may be implemented in the form of a computer program product.

[0090] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website, a computer, a server, or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website, a computer, a server, or a data center. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or a data center that includes one or more available media integrations. The available medium can be a magnetic medium, (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)).

[0091] The terms "first," "second," and the like (if any) in the specification and claims of this application and in the accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a particular order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions, e.g., a process, method, system, product, or apparatus comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or apparatus.

Claims

1. A method for controlling heat dissipation, characterized in that: include: Get the current environmental status parameters of the lamp to be controlled; Inputting the current environmental state parameters into the trained model to obtain the control parameters output by the model; the model is obtained by training a neural network model based on sample data labeled with environmental state parameters, control parameters, and final temperature, and based on a loss function that minimizes the pressure difference between the air inlet and the air outlet corresponding to the environmental state parameters; The fan of the lamp is controlled based on the control parameter to optimize the heat dissipation of the lamp so that the temperature of the lamp is less than or equal to the final temperature.

2. The method according to claim 1, wherein The environmental state parameters include: lamp posture, air density, air flow rate at a preset position on the lamp, wind noise at a preset position on the lamp, and wind pressure at a preset position on the lamp.

3. The method according to claim 1 or 2, wherein: The control parameter includes the rotation speed of the fan.

4. The method according to claim 1, wherein The same type of lamps corresponds to the same model, and different types of lamps correspond to different models; the model is trained based on sample data of the corresponding lamps and a loss function; Inputting the current environmental state parameters into the trained model to obtain the control parameters output by the model includes: The current environmental state parameters are input into the trained model corresponding to the lamp to be controlled to obtain the control parameters output by the model.

5. The method according to claim 1, wherein The control parameters include the speed of the fan; If the model outputs multiple control parameters, the "controlling the fan of the lamp based on the control parameters" includes: Selecting the control parameter with the lowest rotation speed from the multiple control parameters output by the model as the final parameter; The fan of the lamp is controlled based on the final parameter.

6. A system for controlling heat dissipation, characterized in that: include: The acquisition module is used to obtain the current environmental state parameters of the lamp to be controlled; a calculation module, configured to input the current environmental state parameters into a trained model to obtain control parameters output by the model; the model is obtained by training a neural network model using sample data labeled with the environmental state parameters, the control parameters, and the final temperature, and based on a loss function that minimizes the pressure difference between the air inlet and the air outlet in the environmental state parameters; A control module is configured to control the fan of the lamp based on the control parameters to optimize the heat dissipation of the lamp so that the temperature of the lamp is less than or equal to the final temperature.

7. The system according to claim 6, wherein: The environmental state parameters also include: lamp posture, air density, air flow rate at a preset position on the lamp, wind noise at a preset position on the lamp, and wind pressure at a preset position on the lamp.

8. The system according to claim 6 or 7, characterized in that The control parameter includes the rotation speed of the fan.

9. A readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for controlling heat dissipation according to any one of claims 1 to 5 is implemented.

10. A lamp comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method for controlling heat dissipation according to any one of claims 1 to 5 is implemented.

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