Heat energy utilization case based on heat dissipation effect

Abstract

This invention relates to the field of chassis technology, and in particular to a heat-utilizing chassis based on heat dissipation effect. The chassis includes a shell and a power module, a control system, a sensing device, and a position adjustment mechanism installed within the shell. The sensing device acquires one or more of temperature information, position information, human infrared information, and human image information, and transmits this information to the control system. The position adjustment mechanism adjusts the direction of the heat dissipation airflow. The control system is electrically connected to the position adjustment mechanism to control the mechanism based on the information transmitted by the sensing device. By enhancing local airflow and / or guiding the airflow direction, the chassis heat dissipation is optimized and / or heat energy is utilized. The power module provides the necessary power to the control system, sensing device, and position adjustment mechanism. This solution enables targeted heat dissipation while fully utilizing the heat inside the chassis.

Description

Technical Field

[0001] This invention relates to the field of chassis technology, and in particular to a chassis that utilizes heat dissipation based on heat dissipation effect. Background Technology

[0002] Currently, most existing computer chassis use fixed fans for cooling. These fans are typically installed in specific locations within the chassis, such as the front, rear, and top panels, to provide basic airflow and heat dissipation. These fixed-position fans can meet the cooling needs of typical usage scenarios to a certain extent. However, traditional cooling methods focus solely on expelling heat from the chassis to the external environment, neglecting the possibility of effectively utilizing the generated heat. In many applications, such as cold regions or environments requiring localized heating, this dissipated heat can actually be recovered and used for heating or other purposes, balancing or reducing other energy demands, thereby improving energy efficiency and reducing energy consumption. In industrial applications, components such as motor drives, power supplies, and servo control units generate significant heat during operation. Although these components themselves have heat sinks or similar structures, when multiple components are integrated into a chassis, traditional chassis cooling methods are not conducive to the utilization of heat energy or the optimization of internal thermal management.

[0003] Therefore, there is an urgent need to provide a heat-utilizing chassis based on heat dissipation effect, which can optimize heat dissipation inside the chassis and make full use of the heat inside the chassis while achieving targeted heat dissipation. Summary of the Invention

[0004] This invention provides a heat energy utilization chassis based on heat dissipation effect, which can optimize heat dissipation inside the chassis while making full use of the heat generated inside the chassis.

[0005] To achieve the above objectives, this application provides the following technical solution:

[0006] A heat-utilizing chassis based on heat dissipation effect includes a housing; it also includes a power module, a control system, a sensing device, and a position adjustment mechanism installed within the housing; the sensing device is used to acquire temperature information, position information, human infrared information, and human image information, and transmit them to the control system; the position adjustment mechanism is used to adjust the direction of heat dissipation airflow; the control system is electrically connected to the position adjustment mechanism to control the position adjustment mechanism in conjunction with the information transmitted by the sensing device, thereby achieving heat utilization of the chassis and simultaneous heat dissipation optimization by guiding the airflow direction; the power module is used to provide the necessary power to the control system, sensing device, and position adjustment mechanism.

[0007] Preferably, the adjustment drive end of the position adjustment mechanism is connected to a fan, and the direction of heat dissipation airflow is changed by changing the position and / or orientation of the fan.

[0008] Preferably, the adjustment drive end of the position adjustment mechanism is connected to a guide vane, which is movably mounted on the housing. The direction of the cooling airflow of the chassis can be changed by adjusting the orientation of the guide vane.

[0009] Furthermore, the sensing device includes a component temperature acquisition module and a position acquisition module, or may also include an ambient temperature acquisition module; the component temperature acquisition module is used to acquire the temperature of each component inside the housing; the ambient temperature acquisition module is used to acquire the indoor ambient temperature.

[0010] The control system includes a temperature comparison module, a parameter generation module, and an adjustment module;

[0011] The temperature comparison module is used to compare the temperatures of various components inside the housing, generate temperature comparison results, and set the component with the highest temperature in the temperature comparison results as the target component.

[0012] The location acquisition module is used to acquire the location data of the target component;

[0013] The parameter generation module is used to generate parameter update results based on the temperature and position data of the target component.

[0014] The adjustment module is used to adjust the operating parameters of the position adjustment mechanism and the fan according to the parameter update result.

[0015] Furthermore, the control system also includes a target analysis module, which is used to determine whether there are personnel within a preset range outside the casing, and analyze the personnel positions that can be affected by the chassis heat energy, and generate corresponding personnel position data; correspondingly, the parameter generation module also generates parameter update results by combining the personnel position data fed back by the target analysis module.

[0016] Furthermore, the target analysis module uses target detection technology to acquire environmental images within a preset range outside the casing, and analyzes the body parts of the personnel in the environmental images to generate location data of the chassis heat energy that can affect the body parts of the personnel in the corresponding area;

[0017] Correspondingly, the parameter generation module also combines the location data of the person's body parts to generate parameter update results.

[0018] Furthermore, the target analysis module uses target detection technology to acquire environmental images within a preset range outside the casing, and analyzes the body parts of the personnel in the environmental images to generate location data of the chassis heat energy that can affect the body parts of the personnel in the corresponding area;

[0019] Correspondingly, the parameter generation module also combines the location data of the person's body parts to generate parameter update results.

[0020] Furthermore, the parameter generation module includes a room temperature analysis module, an activity range acquisition module, a path simulation module, a path filtering module, and a parameter analysis module;

[0021] The room temperature analysis module is used to analyze whether the indoor ambient temperature is lower than a preset room temperature threshold and generate room temperature analysis results.

[0022] The activity range acquisition module is used to acquire the position adjustment range or guide area range of the heat dissipation airflow;

[0023] The path simulation module is used to generate simulated airflow paths corresponding to the fan at several positions based on the position adjustment range of the heat dissipation airflow and the position data of the target component.

[0024] The path filtering module is used to filter several simulated airflow paths generated by the path simulation module based on the room temperature analysis results and the location data of the body parts of the person, and generate a target airflow path.

[0025] The parameter analysis module is used to generate parameter update results based on the target airflow path.

[0026] Furthermore, the path filtering module is used to filter the simulated airflow path passing through a person's body part as the target airflow path if the indoor ambient temperature in the room temperature analysis result is lower than a preset room temperature threshold.

[0027] Furthermore,

[0028] The principles and advantages of this invention are as follows:

[0029] When optimizing internal heat dissipation within the chassis, this solution acquires the temperature of each component within the chassis and uses a temperature comparison module to compare the temperatures of each component, generating a temperature comparison result. The component with the highest temperature in the temperature comparison result is set as the target component. This allows for precise identification of the target component within the chassis that most needs heat dissipation. After determining the target component, the location acquisition module obtains the location data of the target component, accurately pinpointing the location of the highest-temperature target component. This facilitates targeted heat dissipation and thermal management. The adjustment module can adjust the operating parameters of the position adjustment mechanism and fan based on the temperature and location data of the target component to dissipate heat from the target component. This targeted heat dissipation precisely cools the components, preventing equipment failure and damage caused by overheating and helping to extend the service life of the servo control unit chassis.

[0030] When utilizing heat energy within the chassis, the target analysis module obtains the specific locations of people within a preset range outside the chassis based on human position data. Combined with ambient temperature judgment, this allows for the utilization of heat from components assembled within the chassis, achieving heat dissipation and heating. The parameter generation module generates updated parameters based on the target component's temperature, location data, and human position data. These parameters include fan position, wind speed, and airflow direction. The adjustment module then adjusts the position adjustment mechanism and fan operating parameters based on the updated parameters, ensuring accurate and concentrated heat delivery to the human body for heating. This maximizes the utilization of heat within the chassis and improves the efficiency of heat reuse.

[0031] By combining the target analysis module with the location data of human body parts in environmental images, the specific location of the human body in the environment and the key parts of the human body that need heating can be obtained and analyzed. This enables on-demand heating and utilization of component heat. Based on the temperature of the target component, the location data of the target component, and the location data of the human body parts, the position, speed, and direction of the fan can be adjusted to ensure that the heat of the target component is accurately and concentratedly delivered to the human body parts for heating. This fully utilizes the heat inside the chassis, maximizes the utilization of component heat, and improves the reuse efficiency of component heat.

[0032] By combining the ambient temperature acquisition module to obtain real-time indoor ambient temperature, the control system can more accurately understand the current indoor temperature situation. This allows the control system to dynamically adjust the heating strategy according to the actual indoor temperature requirements. Based on the indoor ambient temperature, the temperature of the target component, the location data of the target component, and the location data of people's body parts, the control system generates parameter update results and adjusts the operating parameters of the position adjustment mechanism and the fan according to the parameter update results. By considering not only the location data of the target component and the location data of people's body parts, but also the important parameter of indoor ambient temperature, the control system can more accurately adjust the operating parameters of the position adjustment mechanism and the fan, improve the comfort of people's body parts, and ensure maximum heating efficiency.

[0033] The room temperature analysis module analyzes the indoor ambient temperature in real time to determine if it falls below a preset threshold, generating analysis results that allow the control system to respond promptly to changes in temperature. When the indoor temperature drops below the threshold, the control system activates the heating mode to warm the body parts of occupants. The activity range simulation module obtains the fan's position adjustment range, and the path simulation module generates simulated airflow paths for the fan at several positions based on this range and the target component's location data. This allows the control system to pre-calculate several fan airflow paths, providing foundational data for subsequent path selection. The path filtering module filters these simulated airflow paths based on the room temperature analysis results, generating a target airflow path. This allows for on-demand heating; when the indoor temperature is below the preset threshold, precise control of the target airflow path concentrates heat where needed, improving energy efficiency. The parameter generation module updates parameters based on the target airflow path, ensuring the control system operates according to the optimal airflow path.

[0034] When the indoor ambient temperature is lower than the preset room temperature threshold, the path selection module selects the simulated airflow path that passes through the body parts of the person as the target airflow path. This on-demand heating method can concentrate heat to the body parts of the person for heating. Precise control of the heating path can reduce overall energy consumption, improve energy utilization efficiency, and improve human comfort.

[0035] Furthermore, the parameter generation module also includes a distance analysis module, a volume acquisition module, and a heating capacity analysis module;

[0036] The distance analysis module is used to analyze the distance between the target component and a part of a person's body;

[0037] The volume acquisition module is used to acquire the volume of the target component;

[0038] The heating capacity analysis module is used to evaluate the heating capacity of the target component based on the temperature of the target component, the indoor ambient temperature, the volume of the target component, and the distance between the target component and the body parts of the person, and to generate a heating capacity score.

[0039] The path filtering module is used to filter several simulated airflow paths generated by the path simulation module based on the heating capacity score, room temperature analysis results, and the location data of the body parts of the personnel, and generate a target airflow path.

[0040] Beneficial Effects: The distance analysis module analyzes the distance between the target component and the user's body, allowing for a more accurate assessment of heat transfer efficiency. Closer distances result in higher heat transfer efficiency, and vice versa. This distance analysis helps select the optimal airflow path, ensuring efficient and direct heat delivery to the user's body and improving comfort. The volume acquisition module obtains the target component's volume, enabling a more accurate assessment of its heat generation capacity. Larger components generate more heat, and vice versa, facilitating a more precise evaluation of the target component's heating capacity. The heating capacity analysis module assesses the target component's heating capacity based on its temperature, ambient temperature, volume, and distance from the user's body. This comprehensive evaluation allows for dynamic adjustment of the position control mechanism and fan operating parameters according to actual needs, improving heating efficiency.

[0041] Furthermore, the path filtering module is used to filter the simulated airflow path passing through the body parts of a person as the target path if the indoor ambient temperature in the room temperature analysis result is lower than the preset room temperature threshold and the heating capacity score of the target component is higher than the preset heating capacity score.

[0042] Beneficial effects: After determining that the indoor ambient temperature is lower than the preset room temperature threshold, the path selection module will also evaluate the heating capacity score of the target component. Only when the heating capacity score of the target component is higher than the preset heating capacity score will the system select the simulated airflow path passing through the body parts of the person as the target path, so as to prevent the warm air generated by heat utilization from reaching the human body and failing to achieve the heating effect, thus ensuring the heating effect of the warm air.

[0043] Furthermore, the position adjustment mechanism is a robotic arm, which is fixedly installed on the inner bottom wall of the housing and close to the inner side of the first side wall of the housing. The fan is installed at the clamping jaw of the movable end of the robotic arm.

[0044] Beneficial effects: By setting the position adjustment mechanism as a robotic arm, the fan can be flexibly moved to the corresponding position. At the same time, the robotic arm has multiple degrees of freedom, which can realize multi-directional and multi-angle adjustment, ensuring that the fan can be accurately aimed at the target part or key parts of the human body, improving the efficiency of heat transfer and improving the heating effect. Attached Figure Description

[0045] Figure 1 This is a logic block diagram of a heat energy utilization chassis based on heat dissipation effect according to the present invention.

[0046] Figure 2 This is a logic block diagram of the control system and sensing device in a first embodiment of a heat energy utilization chassis based on heat dissipation effect according to the present invention.

[0047] Figure 3 This is a logic block diagram of the parameter generation module in Embodiment 1 of the heat energy utilization chassis based on heat dissipation effect of the present invention.

[0048] Figure 4 This is a schematic diagram of the overall structure of the device body in Embodiment 1 of the heat energy utilization chassis based on heat dissipation effect of the present invention.

[0049] Figure 5 This is a schematic diagram of the internal structure of the device body in Embodiment 1 of the heat energy utilization chassis based on heat dissipation effect of the present invention.

[0050] Figure 6 This is a schematic diagram of the internal structure of the device body in Embodiment 1 of the heat energy utilization chassis based on heat dissipation effect of the present invention (components are not shown in the figure). Detailed Implementation

[0051] The following detailed description illustrates the specific implementation method:

[0052] The markings in the accompanying drawings include: housing 1, component 2, position adjustment mechanism 3, fan 4, and heat dissipation hole 5.

[0053] In the description of this application, unless otherwise expressly specified and limited, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance; unless otherwise specified or explained, the term "multiple" refers to two or more; the terms "connected," "fixed," etc., should be interpreted broadly. For example, "connected" can be a fixed connection, a detachable connection, an integral connection, or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0054] In the description of this specification, it should be understood that the directional terms such as "upper," "lower," "left," and "right" used in the embodiments of this application are used to describe the angles shown in the accompanying drawings and should not be construed as limiting the embodiments of this application. Furthermore, in the context, it should also be understood that when it is mentioned that one element is connected to another element "upper," "lower," "left," or "right," it can be directly connected to the other element "upper," "lower," "left," or "right," or indirectly connected to the other element "upper," "lower," "left," or "right" through an intermediate element.

[0055] Example 1:

[0056] A heat-utilizing chassis based on heat dissipation effect, such as Figures 4 to 6As shown, the device includes an electrically connected control system and a device body. The device body includes a housing 1 and several components 2 disposed inside the housing 1. In this embodiment, the components 2 include a filter assembly and a 6U card plate. The filter assembly includes a power filter cavity and a signal filter cavity isolated by a metal partition. The components also include a servo motor driver, a controller, and a power module.

[0057] A position adjustment mechanism 3 is provided on the inner bottom wall of the housing 1, and the position adjustment mechanism 3 is located near the inner side of the first side wall of the housing 1. A fan 4 is connected to the drive end of the position adjustment mechanism 3. The position adjustment mechanism 3 is used to adjust the position of the fan 4 and the orientation of its air outlet. In this embodiment, the position adjustment mechanism 3 is a robotic arm, which is fixedly installed on the inner bottom wall of the housing 1 and near the inner side of the first side wall of the housing 1. The fan 4 is installed at the clamping jaws of the movable end of the robotic arm. The position and angle of the fan 4 are adjusted by the robotic arm. The robotic arm has multiple joints and degrees of freedom, enabling multi-directional and multi-angle adjustment. The fan 4 can be flexibly adjusted to move to the corresponding position and rotate to the corresponding angle to ensure that the fan 4 can be accurately aimed at the target component 2 or the body part of the person; the second side wall of the housing 1 is provided with a number of heat dissipation holes 5, the first side wall and the second side wall are arranged opposite each other, and the number of heat dissipation holes 5 on the second side wall are arranged in an array. The robotic arm adjusts the fan 4 to face the target component 2 and the heat dissipation holes, and blows the heat of the target component 2 out of the housing 1 through the heat dissipation holes; the first side wall is provided with a corresponding air inlet so that the fan 4 can smoothly draw in air. Specifically, a dustproof net is provided at the air inlet to effectively prevent dust, impurities and pollutants from entering the interior of the housing 1.

[0058] Once the hardware is in place, the operation of each device is controlled by a control system, specifically, such as... Figure 2 As shown, the control system includes a temperature comparison module, a target analysis module, a parameter generation module, and an adjustment module; the sensing device includes a component temperature acquisition module and a position acquisition module, or may also include an ambient temperature acquisition module.

[0059] The component temperature acquisition module is used to acquire the temperature of each component inside the housing. In this embodiment, the component temperature acquisition module includes several component temperature sensors, which are respectively disposed on each component to detect the temperature of each component. The component temperature sensors are model TMP117.

[0060] The temperature comparison module is used to compare the temperatures of various components within the housing, generate temperature comparison results, and set the component with the highest temperature in the comparison results as the target component. In this embodiment, an alarm module is also included, which issues an alarm if the temperature of a component in the temperature comparison results exceeds a preset component temperature threshold, thereby reminding the user or maintenance personnel to take measures to prevent the temperature from continuing to rise and thus protecting the safe operation of the equipment. Specifically, the preset temperature threshold for the power filter component is 125℃, and the preset temperature threshold for the 6U card is 84℃.

[0061] The location acquisition module is used to acquire the location data of the target component; specifically, the location acquisition module has pre-stored the three-dimensional coordinates of each component, retrieves the three-dimensional coordinates of the target component, and outputs them as the location data of the target component.

[0062] The target analysis module is used to determine whether there are personnel within a preset range outside the casing, and to analyze the personnel positions that can be affected by the chassis heat energy, and generate corresponding personnel position data; correspondingly, the parameter generation module also generates parameter update results based on the personnel position data fed back by the target analysis module; in this embodiment, the preset range is the range of the environment in front of the second side wall on the casing 1 where a plurality of heat dissipation holes 5 are opened.

[0063] In this embodiment, the target analysis module employs target detection technology to acquire environmental images within a preset range outside the casing, analyzes the body parts of personnel in the environmental images, and generates location data showing how chassis heat can affect the body parts of personnel in the corresponding areas. Correspondingly, the parameter generation module also combines the location data of the body parts of personnel to generate parameter update results. In this embodiment, the target analysis module includes at least two cameras, respectively set on both sides of the top of the chassis. The target detection technology acquires environmental images outside the casing in real time through the cameras and transmits them to the target analysis module for analysis. Specifically, a target detection algorithm (such as YOLO) is used to detect human bodies in the images to quickly identify the human body contours in the images. After detecting human bodies, a key point detection algorithm (such as OpenPose) is used to identify the body parts of personnel, including shoulders, elbows, wrists, waists, knees, and ankles. In this embodiment, the body parts with the highest skin exposure among these parts are preferred as the body parts of personnel, and the three-dimensional coordinates of the body parts of personnel are generated. The location data of the body parts of personnel are stored in a structured manner for easy subsequent processing and application.

[0064] The parameter generation module is used to generate parameter update results based on the temperature of the target component, the position data of the target component, and the position data of the personnel's body parts. The adjustment module is used to adjust the operating parameters of the position adjustment mechanism and the fan based on the parameter update results. In this embodiment, since the position adjustment mechanism is a robotic arm, the specific operating parameters of the robotic arm (position adjustment mechanism) include target position, path planning, speed and acceleration, joint angles, clamping force, and safety parameters. The target position refers to the specific coordinates or position point that the robotic arm needs to move to. Path planning refers to the path planning of the robotic arm from its current position to the target position, including intermediate path points and path types. Speed ​​and acceleration refer to the speed and acceleration settings of the robotic arm during movement to ensure smooth and rapid task completion. Joint angles refer to the angle settings of each joint of the robotic arm, which determine the posture and range of motion of the robotic arm. Clamping force refers to the force with which the robotic arm clamps the fan to ensure that the fan will not fall off during movement. Safety parameters include parameters related to safety mechanisms such as collision detection and emergency stop.

[0065] The fan's operating parameters include fan speed, air direction, airflow, and start-up delay. Fan speed refers to the fan's velocity or rotational speed; air direction refers to the direction of the fan's outlet, typically represented as a three-dimensional vector (dx, dy, dz); airflow refers to the fan's air volume; and start-up delay refers to the time delay after the fan starts, allowing it to be activated only after the robotic arm has been positioned. Based on the position data of the target component and the person's body parts, the system calculates the target position that the robotic arm and fan need to move to, generates a path plan for the robotic arm from its current position to the target position, calculates the robotic arm's movement speed, acceleration, and attitude adjustment parameters, and calculates the fan's speed, air direction, airflow, and start-up delay based on the target position and the person's body parts. This enables on-demand heating, concentrating heat delivery to the location of the person's body parts and improving energy efficiency.

[0066] The control system further includes an ambient temperature acquisition module; the ambient temperature acquisition module is used to acquire the indoor ambient temperature; specifically, the temperature acquisition module includes an indoor temperature sensor, which is installed indoors and used to collect the indoor ambient temperature in real time.

[0067] The parameter generation module is used to generate parameter update results based on indoor ambient temperature, target component temperature, target component location data, and personnel body part location data. Taking into account indoor ambient temperature, target component temperature, target component location data, and personnel body part location data, it generates updated operating parameters for the robotic arm and fan.

[0068] like Figure 3As shown, the parameter generation module includes a room temperature analysis module, an activity range acquisition module, a path simulation module, a path filtering module, and a parameter analysis module.

[0069] The room temperature analysis module is used to analyze whether the indoor ambient temperature is lower than the preset room temperature threshold and generate room temperature analysis results; specifically, the preset room temperature threshold is 10℃; the preset room temperature threshold determines whether it is necessary to use the heat of the component to heat the human body outside the shell.

[0070] The activity range acquisition module is used to acquire the position adjustment range of the fan; by obtaining the maximum and minimum activity range from the specifications of the robotic arm, and combining the volume of the housing and the installation position of the internal components, the actual adjustable range of the fan is determined, and the position adjustment range of the fan is generated, which is represented as a three-dimensional coordinate range.

[0071] The path simulation module is used to generate simulated airflow paths corresponding to the fan at several positions based on the fan's position adjustment range and the position data of the target component. Specifically, position sampling is performed within the fan's position adjustment range to generate several fan positions. Based on each fan position and the position data of the target component, a corresponding airflow angle is generated, and several corresponding simulated airflow paths are generated. The generated simulated airflow paths are stored for subsequent filtering.

[0072] like Figure 3 As shown, the parameter generation module also includes a distance analysis module, a volume acquisition module, and a heating capacity analysis module;

[0073] The distance analysis module is used to analyze the distance between the target component and the person's body part based on the location data of the target component and the location data of the person's body part.

[0074] Specifically, a backpropagation (BP) neural network is established, which includes a BP neural network model. BP neural network technology is used to analyze the distance between a target component and a person's body part. First, a three-layer BP neural network model is constructed, including an input layer, hidden layers, and an output layer. In this embodiment, the position data of the target component and the position data of the person's body part are used as the input to the input layer, therefore the input layer has two nodes. The output is the distance between the target component and the person's body part, therefore it has one node. For the hidden layer, this embodiment uses the following formula to determine the number of hidden layer nodes: Where l is the number of nodes in the hidden layer, n is the number of nodes in the input layer, m is the number of nodes in the output layer, and a is a number between 1 and 10, which is taken as 6 in this embodiment. Therefore, there are 8 nodes in the hidden layer. Backpropagation (BP) neural networks typically use the sigmoid differentiable function and linear functions as the network's activation functions. In this embodiment, the sigmoid tangent function (tansig) is selected as the activation function for the hidden layer neurons. The prediction model selects the sigmoid logarithmic function (tansig) as the activation function for the output layer neurons.

[0075] The volume acquisition module is used to acquire the volume of the target component; specifically, it acquires the volume from the specifications of the target component.

[0076] The heating capacity analysis module is used to evaluate the heating capacity of the target component based on the temperature of the target component, the indoor ambient temperature, the volume of the target component, and the distance between the target component and the body parts of the person, and to generate a heating capacity score.

[0077] The path filtering module is used to filter several simulated airflow paths generated by the path simulation module based on the heating capacity score, room temperature analysis results, and the location data of the body parts of the personnel, and generate a target airflow path.

[0078] The heating capacity rating The calculation formula is as follows:

[0079]

[0080] In the formula, This is the temperature influence coefficient. The temperature of the target component, Indoor ambient temperature, The volume influence coefficient of the target component. For the volume of the target component, The distance influence coefficient between the target component and the personnel's body parts. This refers to the distance between the target component and a part of the person's body.

[0081] In this embodiment, the temperature influence coefficient The volume influence coefficient of the target component is 1.2. The influence coefficient of the distance between the target component and the person's body part is 0.15. The value is 0.015; where, This reflects the temperature difference between the target component and the indoor environment. The greater the temperature difference, the higher the heating capacity score. The system can adjust the fan speed and air outlet direction accordingly to ensure effective heat transfer; the volume of the target component... This reflects the impact of the target component's volume on heating capacity; the larger the volume, the higher the heating capacity score. The system can adjust the fan's operating parameters accordingly to ensure full heat utilization. The distance between the target component and the person's body is also considered. This reflects the impact of the distance between the target component and the body part on the heating capacity. The closer the distance, the higher the heating capacity score. The system can adjust the fan's operating parameters accordingly to ensure efficient heat transfer. By evaluating the heating capacity of the target component, the control system can more accurately adjust the fan's operating parameters, improve the heating effect, and enhance human comfort.

[0082] The path filtering module is used to filter several simulated airflow paths generated by the path simulation module based on the room temperature analysis results and the location data of the person's body parts, and generate a target airflow path. Specifically, if the indoor ambient temperature in the room temperature analysis results is lower than a preset room temperature threshold, the path filtering module is used to filter the simulated airflow path passing through the person's body parts as the target airflow path to ensure that heat can be efficiently transferred to the person's body parts.

[0083] Furthermore, the path filtering module is used to filter the simulated airflow path passing through the person's body as the target path if the indoor ambient temperature in the room temperature analysis result is lower than a preset room temperature threshold and the heating capacity score of the target component is higher than a preset heating capacity score. After determining that the indoor ambient temperature is lower than the preset room temperature threshold, the path filtering module simultaneously evaluates the heating capacity score of the target component. Only when the heating capacity score of the target component is higher than the preset heating capacity score is the simulated airflow path passing through the person's body selected as the target path. This filtering method allows heat to be concentrated and delivered to the person's body for heating, precisely controlling the heating path, reducing overall energy consumption, and improving energy efficiency.

[0084] The parameter analysis module is used to generate parameter update results based on the target airflow path.

[0085] Example 2:

[0086] Example 2 is basically as shown in the appendix. Figure 1 As shown:

[0087] The basic principle of Example 2 is the same as that of Example 1. The difference is that in Example 2, the target analysis module includes several arrays of distributed human infrared sensors. These arrays of human infrared sensors are used to identify human bodies within a preset range outside the housing and analyze the position of the human body to generate human body position data. The parameter generation module is used to generate parameter update results based on the indoor ambient temperature, the temperature of the target component, the position data of the target component, and the position data of the human body. The path filtering module is used to filter several simulated airflow paths generated by the path simulation module based on the heating capacity score, room temperature analysis results, and the position data of the human body, and generate a target airflow path. In this example, the human infrared sensor model is HC-SR501. Several arrays of distributed human infrared sensors are set within a preset detection range outside the housing. These human infrared sensors are all fixedly installed on the outer side wall of the second side wall of the housing, ensuring that the detection range of each human infrared sensor covers a part of the entire preset range area outside the housing. The specific position of the human body is determined by the output signals of multiple human infrared sensors. The output terminal of each human infrared sensor is connected to the digital input pin of the microcontroller. Based on the signal output by the corresponding human infrared sensor, the position of the human body is determined and human body position data is generated.

[0088] By distributing an array of infrared human body sensors, accurate identification and positioning of the human body can be achieved, ensuring that the target analysis module can accurately know the location of the human body. Compared with visual sensors such as cameras, infrared sensors consume less power and are suitable for long-term operation. The cost of infrared sensors is relatively low, making them easy to deploy on a large scale and reducing the overall cost of the chassis. Low power consumption and low cost make the chassis more economical and efficient.

[0089] Example 3:

[0090] The basic principle of Example 3 is the same as that of Examples 1 and 2, the difference being the position adjustment mechanism. In this example, the position adjustment mechanism includes a motor, specifically a servo motor or a steering gear, and is used in conjunction with gears, connecting rods, cams, cables, or combinations thereof to achieve transmission. Specific implementation methods are numerous; as an example, two bearings are fixedly installed inside the housing near the air outlet, with a drive shaft between them that can rotate. Guide vanes are fixed on the drive shaft, and a gear is located at one end of the drive shaft, directly connected to the output shaft of the servo motor or connected via a gear train. When the servo motor rotates a set angle under the command of the control system, the corresponding guide vanes also rotate by a corresponding angle. Changing the fan's direction is similar; for example, a servo motor is fixed inside the housing, and the output shaft of the servo motor is connected to a crank-rocker mechanism. When the servo motor rotates a certain angle, the crank-rocker achieves a certain position change. When the crank-rocker is used as the adjustment drive end for a fan, the position and direction of the fan are changed. This example can be used in conjunction with Examples 1 and 2. Angle control can be determined using position sensors. Depending on the structure, Hall effect sensors, light sensors, rotary encoders, etc., can be selected and installed accordingly. Those skilled in the art can complete the installation as needed. By using servo motors or servo drives combined with gears, linkages, cams, wires, etc., precise angle control of the guide vanes and fan orientation can be achieved. Combined with position sensors (such as Hall effect sensors, light sensors, rotary encoders, etc.), the system can monitor and provide feedback on the position of the guide vanes and fan in real time, ensuring control accuracy.

[0091] The above are merely embodiments of the present invention. Commonly known structures and characteristics are not described in detail here. Those skilled in the art are aware of all common technical knowledge in the field prior to the application date or priority date, are aware of all existing technologies in that field, and have the ability to apply conventional experimental methods prior to that date. Those skilled in the art can, under the guidance of this application, improve and implement this solution in combination with their own capabilities. Some typical known structures or methods should not be obstacles for those skilled in the art to implement this application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of the present invention. These should also be considered within the scope of protection of the present invention, and will not affect the effectiveness of the implementation of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. A heat energy utilization chassis based on heat dissipation effect, comprising a shell; characterized in that: It also includes a power module, a control system, a sensing device, and a position adjustment mechanism installed within the housing; the sensing device is used to acquire temperature information, position information, human infrared information, and human image information, and transmit them to the control system; the position adjustment mechanism is used to adjust the direction of heat dissipation airflow, and the control system is electrically connected to the position adjustment mechanism to control the position adjustment mechanism in conjunction with the information transmitted by the sensing device, thereby achieving heat utilization of the chassis and optimizing heat dissipation by guiding the airflow direction; the power module is used to provide the necessary power to the control system, sensing device, and position adjustment mechanism; The sensing device includes a component temperature acquisition module and a position acquisition module, and may also include an ambient temperature acquisition module; the component temperature acquisition module is used to acquire the temperature of each component inside the housing; the ambient temperature acquisition module is used to acquire the indoor ambient temperature. The control system includes a temperature comparison module, a parameter generation module, and an adjustment module; The temperature comparison module is used to compare the temperatures of various components inside the housing, generate temperature comparison results, and set the component with the highest temperature in the temperature comparison results as the target component. The location acquisition module is used to acquire the location data of the target component; The parameter generation module is used to generate parameter update results based on the temperature and position data of the target component. The adjustment module is used to adjust the operating parameters of the position adjustment mechanism and the fan according to the parameter update result; The control system also includes a target analysis module, which is used to determine whether there are personnel within a preset range outside the casing, and analyze the personnel positions that can be affected by the chassis heat energy, and generate corresponding personnel position data; correspondingly, the parameter generation module also generates parameter update results based on the personnel position data fed back by the target analysis module. The target analysis module uses target detection technology to acquire environmental images within a preset range outside the casing, and analyzes the body parts of the personnel in the environmental images to generate location data on how the chassis heat energy can affect the body parts of the personnel in the corresponding area. Correspondingly, the parameter generation module also combines the location data of the person's body parts to generate parameter update results.

2. The heat energy utilization chassis based on heat dissipation effect according to claim 1, characterized in that: The adjustment drive end of the position adjustment mechanism is connected to a fan, and the direction of heat dissipation airflow is changed by changing the position and / or orientation of the fan.

3. The heat energy utilization chassis based on heat dissipation effect according to claim 1, characterized in that: The adjustment drive end of the position adjustment mechanism is connected to a guide vane, which is movably mounted on the housing. The direction of the cooling airflow of the chassis can be changed by adjusting the orientation of the guide vane.

4. The heat energy utilization chassis based on heat dissipation effect according to claim 1, characterized in that: The parameter generation module includes a room temperature analysis module, an activity range acquisition module, a path simulation module, a path filtering module, and a parameter analysis module; The room temperature analysis module is used to analyze whether the indoor ambient temperature is lower than a preset room temperature threshold and generate room temperature analysis results. The activity range acquisition module is used to acquire the position adjustment range or guide area range of the heat dissipation airflow; The path simulation module is used to generate simulated airflow paths corresponding to the fan at several positions based on the position adjustment range of the heat dissipation airflow and the position data of the target component. The path filtering module is used to filter several simulated airflow paths generated by the path simulation module based on the room temperature analysis results and the location data of the body parts of the person, and generate a target airflow path. The parameter analysis module is used to generate parameter update results based on the target airflow path.

5. The heat energy utilization chassis based on heat dissipation effect according to claim 4, characterized in that: The path filtering module is used to filter the simulated airflow path passing through a person's body part as the target airflow path if the indoor ambient temperature in the room temperature analysis result is lower than a preset room temperature threshold.

6. The heat energy utilization chassis based on heat dissipation effect according to claim 5, characterized in that: The parameter generation module also includes a distance analysis module, a volume acquisition module, and a heating capacity analysis module; The distance analysis module is used to analyze the distance between the target component and a part of a person's body; The volume acquisition module is used to acquire the volume of the target component; The heating capacity analysis module is used to evaluate the heating capacity of the target component based on the temperature of the target component, the indoor ambient temperature, the volume of the target component, and the distance between the target component and the body parts of the person, and to generate a heating capacity score. The path filtering module is used to filter several simulated airflow paths generated by the path simulation module based on the heating capacity score, room temperature analysis results, and the location data of the body parts of the personnel, and generate a target airflow path.

7. The heat energy utilization chassis based on heat dissipation effect according to claim 6, characterized in that: The path filtering module is used to filter the simulated airflow path passing through the body parts of a person as the target path if the indoor ambient temperature in the room temperature analysis result is lower than the preset room temperature threshold and the heating capacity score of the target component is higher than the preset heating capacity score.

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