A temperature control system

Abstract

This invention relates to the field of temperature control technology and discloses a temperature control system for controlling a cooling device to dissipate heat from a cooling area. The system includes: a data acquisition module for acquiring the temperature field distribution, dust accumulation distribution, and environmental parameters of the cooling area, wherein the temperature field distribution characterizes the real-time heat dissipation effect of the cooling area, and the dust accumulation distribution characterizes the heat transfer resistance of the cooling area; an analysis and judgment module for generating a cooling time control scheme based on the temperature field distribution, dust accumulation distribution, and environmental parameters using a two-factor weighted algorithm; and an execution decision module for controlling the moving speed of the cooling device based on the cooling time control scheme. This invention detects the temperature field distribution and dust accumulation level of the cooling area and performs cooling based on the detection results, so that when the temperature is high or the dust accumulation is severe, the cooling device is fully controlled to spray and cool the area, and the cooling area is rinsed.

Description

Technical Field

[0001] This invention belongs to the field of temperature control technology, and more specifically, relates to a temperature control system. Background Technology

[0002] Air-cooled islands are air-cooling devices used in thermal power plants. They mainly consist of fans, heat dissipation pipes, and heat dissipation ducts, and are used to reduce the temperature of high-temperature steam. Air-cooled islands are also known as air cooling systems. They are a cooling method that uses air instead of water as the cooling medium. Air-cooled islands with ultra-multi-layer finned structures can effectively improve heat exchange efficiency and increase airflow, further enhancing the air cooling effect. Compared with traditional water-cooling technology, they have the advantages of small size and flexible layout.

[0003] Back pressure of the air-cooled island is an important parameter in the air-cooled island system of a thermal power plant. Its value directly affects the exhaust performance of the gas turbine and the thermal efficiency of the entire thermal power plant. If the back pressure of the air-cooled island is too high, it will lead to an increase in the exhaust resistance of the gas turbine, reduce the exhaust flow rate and pressure ratio, and affect the power generation capacity and thermal efficiency of the gas turbine. Therefore, when the back pressure of the air-cooled island is too high, it should be appropriately reduced and controlled to ensure the normal operation efficiency of the air-cooled island. At the same time, it also helps to reduce the emissions of oxides and nitrogen oxides from the air-cooled island, thereby reducing environmental pollution.

[0004] Patent application CN118133565A discloses an intelligent back pressure reduction process for ultra-multilayer finned air-cooled islands based on tube bundle treatment. The process includes the following steps: obtaining theoretical and actual back pressure values ​​for the air-cooled island; comparing and analyzing these values; implementing back pressure reduction control based on tube bundle cleaning treatment; and verifying the actual effect of back pressure reduction through secondary comparative analysis. This technical solution compares and analyzes theoretical and actual back pressure values ​​to accurately and promptly determine whether the ultra-multilayer finned air-cooled island system requires back pressure reduction control. Compared to traditional manual judgment, this method is more intelligent and provides more accurate results. It removes contaminants from the air-cooled island tube bundles through a combination of chemical and physical cleaning to achieve back pressure reduction control based on tube bundle treatment. Compared to traditional back pressure reduction methods, this approach is simpler and more efficient, significantly improving the heat exchange efficiency and heat dissipation performance of the air-cooled island. It is also easy to operate and has lower costs.

[0005] However, this technical solution still has at least the following drawbacks: Besides the high-temperature steam from the turbine itself, the temperature rise in the air-cooled island may also be due to reduced heat dissipation caused by dust accumulation, thus increasing the temperature. The problem of determining the priority of cooling based on the degree of dust accumulation and the temperature level needs to be solved, and the aforementioned technical solution does not address this issue. Therefore, this invention is proposed. Summary of the Invention

[0006] To solve the above-mentioned technical problems, the present invention provides a temperature control system that detects the temperature field distribution and dust accumulation of the finned heat sink and cools it down according to the detection results. This system enables the cooling device to spray and cool down the finned heat sink when the temperature is high or the dust accumulation is severe, and also rinses the finned heat sink.

[0007] The technical solution adopted by this invention to solve its technical problem is:

[0008] A temperature control system for controlling a cooling device to dissipate heat to a cooling area, comprising:

[0009] The data acquisition module is used to acquire the temperature field distribution, dust accumulation distribution and environmental parameters of the cooling area. The temperature field distribution represents the real-time heat dissipation effect of the cooling area, and the dust accumulation distribution represents the heat transfer resistance of the cooling area.

[0010] The analysis and judgment module generates a cooling time control scheme based on temperature field distribution, dust accumulation degree distribution and environmental parameters through a two-factor weighted algorithm. The cooling time control scheme includes cooling time control for different parts of the cooling area.

[0011] The execution decision module controls the moving speed of the cooling device based on the cooling time control scheme.

[0012] In a preferred embodiment of the present invention, the data acquisition module includes a temperature acquisition strategy and a dust accumulation acquisition strategy;

[0013] The temperature acquisition strategy obtains the temperature field distribution map of the cooling area through an infrared sensor, and divides the temperature field distribution map into rows based on the cooling height of the cooling device to form a sub-temperature field distribution map, wherein the temperature value in the sub-temperature field distribution map is the highest temperature in the vertical direction.

[0014] The dust accumulation collection strategy is based on the sub-temperature field distribution map after the temperature collection strategy is divided into rows. The dust accumulation degree distribution in the cooling area is obtained through a visual sensor. The average dust accumulation degree is calculated by combining image grayscale analysis and contour comparison, and a sub-dust accumulation degree distribution map corresponding to the coordinates of the sub-temperature field distribution map is generated.

[0015] In a preferred embodiment of the present invention, the analysis and judgment module includes matching the sub-temperature field distribution map and the sub-ash accumulation degree distribution map row by row to form sub-region units. The two-factor weighted algorithm includes quantifying the coefficients of the longitudinal maximum temperature and the average ash accumulation degree, dynamically allocating weights, and outputting a value for controlling the moving speed of the cooling device.

[0016] The two-factor weighted algorithm includes:

[0017] Temperature coefficient quantification is based on the highest temperature in the sub-region, setting high-temperature and low-temperature benchmarks. The temperature coefficient value increases as the highest longitudinal temperature increases.

[0018] The ash accumulation coefficient is quantified based on the average ash accumulation degree of the sub-region, and thick ash benchmark and thin ash benchmark are set. The ash accumulation coefficient value increases as the average ash accumulation degree increases.

[0019] In a preferred embodiment of the present invention, the cooling device includes a mounting frame located on one side of the cooling area, a sliding mechanism is provided on the mounting frame, a support frame is mounted on the sliding mechanism, a spraying mechanism is mounted on the support frame, the spraying mechanism is used to spray water to cool the cooling area, the spraying mechanism can slide up and down along the support frame, and a driving mechanism is provided on the support frame, the driving mechanism is used to drive the spraying mechanism to move laterally.

[0020] In a preferred embodiment of the present invention, the driving mechanism includes a drive shaft with conical wheels mounted at both ends. The driving mechanism also includes a rotating shaft rotatably connected to the mounting frame. The rotating shaft has a flange and a belt is movably sleeved on it. The rotating shaft is in contact with the conical wheels through the belt. A second power source is fixedly mounted on one side of the mounting frame, and the output end of the second power source is fixedly connected to the rotating shaft.

[0021] In a preferred embodiment of the present invention, the driving mechanism further includes a first power source and a transmission box fixedly mounted on the support frame. The output end of the first power source is fixedly connected to the input end of the transmission box, the output end of the transmission box is fixedly connected to the transmission shaft, and a limiting sleeve is movably sleeved on the transmission shaft. The limiting sleeve is fixedly connected to the support frame.

[0022] In a preferred embodiment of the present invention, the sliding mechanism includes a support rod fixedly connected to the mounting frame, a sliding seat movably sleeved on the support rod, the sliding seat being slidably connected to the support rod via a roller, a telescopic rod fixedly installed at one end of the sliding seat, one end of the telescopic rod being fixedly connected to the support frame, a spring movably sleeved on the telescopic rod, and the spring force acting on the support frame to make the conical wheel fit against the rotating shaft.

[0023] In a preferred embodiment of the present invention, the execution decision module controls the movement of the cooling device based on the numerical output of the two-factor weighted algorithm. The cooling device is driven by a first power source to roll a conical wheel along a rotating shaft, and the angle of the rotating shaft is controlled by a second power source to make it fit with different parts of the conical wheel, thereby controlling the movement speed of the cooling device.

[0024] In a preferred embodiment of the present invention, the execution decision module includes a speed control strategy. The speed control strategy includes drawing a coordinate system with the direction of the rotating shaft section as the reference plane, obtaining the projection curves of the outer contour sections of the belt and the conical wheel on the coordinate system, obtaining the relationship between the different cross-sectional radii of the conical wheel and the rotation angle of the rotating shaft based on the projection curves, and obtaining the relationship between the moving speed of the cooling device and the rotation angle of the rotating shaft by combining the rotation speed of the conical wheel and the contact radius.

[0025] In a preferred embodiment of the present invention, the speed control strategy further includes establishing a relationship between the value output by the two-factor weighted algorithm and the rotation angle of the rotating shaft. The higher the value output by the two-factor weighted algorithm, the larger the rotation angle.

[0026] Compared with the prior art, the present invention has the following advantages:

[0027] This invention detects the temperature field distribution and dust accumulation of finned heat sinks, and cools them down based on the detection results. This allows the cooling device to spray and cool down the finned heat sink when the temperature is high or the dust accumulation is severe, and to rinse the finned heat sink.

[0028] This invention changes the contact position between the conical wheel and the belt by controlling the rotation of the rotating shaft, thereby changing the moving speed of the conical wheel. This mechanical speed change makes the speed adjustment more stable. At the same time, it adjusts the speed according to the cross-sectional radius corresponding to different heights of the conical wheel, thus making the adjustment range wider. Attached Figure Description

[0029] Figure 1 This is a schematic diagram showing the arrangement and structure of the cooling device of the present invention;

[0030] Figure 2 This is a schematic diagram of the structure at the first power source of the present invention;

[0031] Figure 3 This is a schematic diagram of the structure of the sliding seat of the present invention;

[0032] Figure 4 This is a schematic diagram of the structure at the limiting sleeve of the present invention;

[0033] Figure 5 This is a schematic diagram of the structure of the rotating shaft and belt in the separated state of the present invention;

[0034] Figure 6 This is a schematic diagram showing the positional relationship between the rotating shaft and the conical wheel of the present invention.

[0035] Figure label:

[0036] 100. Finned radiator;

[0037] 200. Mounting bracket; 201. Support rod; 202. Sliding seat; 203. Telescopic rod; 204. Spring; 205. Support frame; 206. First power source; 207. Transmission box; 208. Transmission shaft; 209. Limiting sleeve; 210. Conical wheel; 211. Second power source; 212. Rotating shaft; 213. Flange; 214. Belt. Detailed Implementation

[0038] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments will be clearly and completely described below with reference to the accompanying drawings. The following embodiments are used to illustrate the present invention.

[0039] Example 1:

[0040] A temperature control system for controlling a cooling device to dissipate heat to a cooling area, comprising:

[0041] The data acquisition module is used to acquire the temperature field distribution, dust accumulation distribution, and environmental parameters of the cooling area. The temperature field distribution represents the real-time heat dissipation effect of the cooling area, and the dust accumulation distribution represents the heat transfer resistance of the cooling area.

[0042] The analysis and judgment module generates a cooling time control scheme based on temperature field distribution, dust accumulation degree distribution, and environmental parameters through a two-factor weighted algorithm. The cooling time control scheme includes cooling time control for different parts of the cooling area.

[0043] The execution decision module controls the moving speed of the cooling device based on the cooling time control scheme.

[0044] This embodiment takes the reduction of back pressure in an air-cooled island as an example. The cooling device is controlled to move on the finned heat sink 100 of the air-cooled island to dissipate heat. The back pressure of the air-cooled island is reduced by dissipating heat from the finned heat sink 100 of the air-cooled island. The cooling area is the area in the finned heat sink 100 that needs to be cooled.

[0045] The data acquisition module includes temperature acquisition strategies and dust accumulation acquisition strategies;

[0046] The temperature acquisition strategy obtains the temperature field distribution map of the cooling area of ​​the finned heat sink 100 through an infrared sensor, and divides the temperature field distribution map into rows based on the cooling height of the cooling device to form a sub-temperature field distribution map, wherein the temperature value in the sub-temperature field distribution map is the highest temperature in the vertical direction.

[0047] The dust accumulation collection strategy is based on the sub-temperature field distribution map after the temperature collection strategy is divided. The dust accumulation degree distribution in the finned heat sink 100 is obtained through a visual sensor. The average dust accumulation degree is calculated by combining image grayscale analysis and contour comparison, thereby generating a sub-dust accumulation degree distribution map corresponding to the coordinates of the sub-temperature field distribution map.

[0048] The surface image of the finned heat sink 100 is processed into grayscale. The Otsu threshold segmentation algorithm is used to distinguish between clean areas and dusty areas. The clean area is the area with a grayscale value ≤ 80, and the dusty area is the area with a grayscale value > 80. The proportion of the dusty area is calculated. The actual contour of the finned heat sink 100 is collected by a laser contour sensor and compared with the contour of the finned heat sink 100 itself to obtain the dust accumulation height of the dusty area. The average dust accumulation thickness in the area is calculated by combining the proportion of the dusty area and the dust accumulation height.

[0049] The analysis and judgment module includes matching the sub-temperature field distribution map and the sub-ash accumulation degree distribution map row by row to form sub-region units. The two-factor weighted algorithm includes quantifying the coefficients of the highest longitudinal temperature and the average ash accumulation degree, dynamically allocating weights, and outputting a value used to control the moving speed of the cooling device.

[0050] Two-factor weighted algorithms include:

[0051] Temperature coefficient quantification is based on the highest temperature in the sub-region. A high-temperature benchmark is set, and a maximum temperature coefficient is set for the high-temperature benchmark. A low-temperature benchmark is set based on the critical temperature of the sub-region to ensure heat dissipation efficiency, and a minimum temperature coefficient is set for the low-temperature benchmark. The temperature coefficient value increases with the increase of the vertical maximum temperature. If the vertical maximum temperature is higher than the high-temperature benchmark, it represents the strongest cooling demand. If the vertical maximum temperature is lower than the low-temperature benchmark, it represents the weakest cooling demand. If the vertical maximum temperature is between the high-temperature benchmark and the low-temperature benchmark, the temperature coefficient value is linearly distributed between the maximum and minimum temperature coefficient ranges according to the proportion of the temperature value in the high-temperature benchmark and the low-temperature benchmark ranges.

[0052] The ash accumulation coefficient is quantified based on the average ash accumulation degree of the sub-region, and a standard thickness benchmark is set. The value of the ash accumulation coefficient increases as the average ash accumulation degree increases.

[0053] A thick gray reference is set, which represents the thickness of the finned heat sink 100 when the dust accumulation reaches 0.8 mm. A thick gray coefficient is set for the thick gray reference. A thin gray reference is set, which represents the thickness of the finned heat sink 100 when the dust accumulation is 0.1 mm. A thin gray coefficient is set for the thin gray reference.

[0054] If the average dust accumulation degree is greater than the thick dust benchmark, it indicates the strongest dust removal demand. If the average dust accumulation degree is lower than the thin dust benchmark, it indicates the weakest dust removal demand. If the average dust accumulation degree is between the thick dust benchmark and the thin dust benchmark, the thick dust coefficient and thin dust coefficient ranges are linearly allocated according to the proportion of the average dust accumulation degree in the thick dust benchmark and thin dust benchmark ranges.

[0055] The weights of temperature coefficient and ash accumulation coefficient are dynamically allocated according to seasonal characteristics to calculate the comprehensive cooling demand value of sub-region units. In summer mode, the weight allocation is 60% for temperature coefficient and 40% for ash accumulation coefficient. In winter mode, the weight allocation is 70% for temperature coefficient and 30% for ash accumulation coefficient.

[0056] The cooling time control scheme includes issuing a direct command to control the cooling device to move at the minimum speed when the highest longitudinal temperature is greater than the high temperature benchmark or the average dust accumulation degree is greater than the thick dust benchmark, to ensure full cooling operation. When the highest longitudinal temperature is less than the low temperature benchmark or the average dust accumulation degree is less than the thin dust benchmark, a direct command is issued to control the cooling device to move at the maximum speed to quickly pass through the area. The priority judgment of the highest longitudinal temperature is higher than the judgment of the average dust accumulation degree, so that when the commands corresponding to the highest longitudinal temperature and the average dust accumulation degree conflict, the command corresponding to the highest longitudinal temperature is executed first. When the highest longitudinal temperature is between the high temperature benchmark and the low temperature benchmark, and the average dust accumulation degree is between the thick dust benchmark and the thin dust benchmark, the moving speed of the cooling device is adjusted inversely and linearly based on the comprehensive cooling demand value of the sub-region unit quantified by the two-factor weighted algorithm.

[0057] like Figures 1 to 2 As shown, the cooling device is located on one side of the finned heat sink 100. The cooling device includes a mounting bracket 200 installed on one side of the finned heat sink 100. A sliding mechanism is provided on the mounting bracket 200, and a support frame 205 is mounted on the sliding mechanism. A spraying mechanism is mounted on the support frame 205. The spraying mechanism is used to spray water onto the finned heat sink 100 for cooling. The spraying mechanism can slide up and down along the support frame 205. A driving mechanism is provided on the support frame 205 to drive the spraying mechanism to move laterally. In this configuration, after the spraying mechanism sprays water onto the finned heat sink 100 for cooling, it can reduce the back pressure of the finned heat sink 100 and simultaneously clean the surface of the finned heat sink 100, further enhancing heat dissipation.

[0058] like Figures 2 to 4As shown, the drive mechanism includes a drive shaft 208 with conical wheels 210 mounted at both ends. The drive mechanism also includes a rotating shaft 212 rotatably connected to the mounting frame 200. A flange 213 is provided on the rotating shaft 212, and a belt 214 is movably sleeved on the rotating shaft 212. The rotating shaft 212 and the conical wheels 210 are in contact with each other through the belt 214. A second power source 211 is fixedly mounted on one side of the mounting frame 200, and the output end of the second power source 211 is fixedly connected to the rotating shaft 212. In this configuration, the conical wheel 210 has grooves to ensure that the conical wheel 210 and the belt 214 do not slip when rolling. The inner wall of the belt 214 is smooth and lubricated to allow it to rotate smoothly with the rotating shaft 212. When the rotating shaft 212 rotates, the belt 214 will not rotate with the rotating shaft 212 under the action of the conical wheel 210. When the rotating shaft 212 rotates, it supports the belt 214 and causes it to deform, so that the contact position between the belt 214 and the conical wheel 210 changes.

[0059] like Figures 2 to 3 As shown, the drive mechanism also includes a first power source 206 and a transmission box 207 fixedly mounted on the support frame 205. The output end of the first power source 206 is fixedly connected to the input end of the transmission box 207, and the output end of the transmission box 207 is fixedly connected to the transmission shaft 208. A limiting sleeve 209 is movably sleeved on the transmission shaft 208, and the limiting sleeve 209 is fixedly connected to the support frame 205. In this configuration, the transmission box 207 consists of a sprocket and a chain. The first power source 206 drives the transmission shaft 208 to rotate through the sprocket and chain, thereby causing the conical wheel 210 to rotate.

[0060] like Figures 2 to 3 As shown, the sliding mechanism includes a support rod 201 fixedly connected to the mounting frame 200. A sliding seat 202 is movably sleeved on the support rod 201. The sliding seat 202 is slidably connected to the support rod 201 via rollers. A telescopic rod 203 is fixedly installed at one end of the sliding seat 202. One end of the telescopic rod 203 is fixedly connected to the support frame 205. A spring 204 is movably sleeved on the telescopic rod 203. The elastic force of the spring 204 acts on the support frame 205 to make the conical wheel 210 fit against the rotating shaft 212. In this configuration, two support rods 201 are provided to ensure that the sliding seat 202 does not deflect, thus providing stable support.

[0061] like Figures 5 to 6As shown, further, the execution decision module controls the movement of the cooling device based on the numerical output of a two-factor weighted algorithm. The cooling device is driven by a first power source 206 to roll the conical wheel 210 along the rotating shaft 212. The second power source 211 controls the angle of the rotating shaft 212 to make it contact different parts of the conical wheel 210, thereby controlling the movement speed of the cooling device. In this configuration, the rotating shaft 212 is in contact with the conical wheel 210 via a belt 214. The closer the contacted part of the conical wheel 210 is to its tip, the slower the conical wheel 210 rolls along the rotating shaft 212.

[0062] The execution decision module includes a speed control strategy. The speed control strategy includes drawing a coordinate system with the direction of the section of the rotating shaft 212 as the reference plane, and obtaining the projection curves of the outer contour sections of the belt 214 and the conical wheel 210 on the coordinate system. Based on the projection curves of the two, the relationship between the different radii of contact of the conical wheel 210 and the rotation angle of the rotating shaft 212 is obtained. The relationship between the moving speed of the cooling device and the rotation angle of the rotating shaft 212 is obtained by combining the rotation speed of the conical wheel 210 and the contact radius.

[0063] After scanning, the rotating shaft 212 acquires an image of its outer contour section. Then, by offsetting the thickness of the belt 214 outward, the projection curve of the belt 214 on the coordinate system is obtained. Multiple points are set on the projection curve. The position where the conical wheel 210 and the belt 214 are in contact is determined by calculating the minimum distance between each point and the conical wheel 210. The rotation angle of the rotating shaft 212 is detected in real time to obtain the relationship between the two.

[0064] The speed control strategy also includes establishing a relationship between the cooling demand value output by the two-factor weighted algorithm and the rotation angle of the rotating shaft 212. The higher the cooling demand value output by the two-factor weighted algorithm, the larger the rotation angle.

[0065] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A temperature control system for controlling a cooling device to dissipate heat to a cooling area, characterized in that, include: The data acquisition module is used to acquire the temperature field distribution, dust accumulation distribution and environmental parameters of the cooling area. The temperature field distribution represents the real-time heat dissipation effect of the cooling area, and the dust accumulation distribution represents the heat transfer resistance of the cooling area. The analysis and judgment module generates a cooling time control scheme based on temperature field distribution, dust accumulation degree distribution and environmental parameters through a two-factor weighted algorithm. The cooling time control scheme includes cooling time control for different parts of the cooling area. The execution decision module controls the moving speed of the cooling device based on the cooling time control scheme; The data acquisition module includes a temperature acquisition strategy and a dust accumulation acquisition strategy; The temperature acquisition strategy obtains the temperature field distribution map of the cooling area through an infrared sensor, and divides the temperature field distribution map into rows based on the cooling height of the cooling device to form a sub-temperature field distribution map, wherein the temperature value in the sub-temperature field distribution map is the highest temperature in the vertical direction. The dust accumulation collection strategy is based on the sub-temperature field distribution map after the temperature collection strategy is divided into rows. The dust accumulation degree distribution in the cooling area is obtained through a visual sensor. The average dust accumulation degree is calculated by combining image grayscale analysis and contour comparison, and a sub-dust accumulation degree distribution map corresponding to the coordinates of the sub-temperature field distribution map is generated. The analysis and judgment module includes matching the sub-temperature field distribution map and the sub-ash accumulation degree distribution map row by row to form sub-region units. The two-factor weighted algorithm includes quantifying the coefficients of the longitudinal maximum temperature and the average ash accumulation degree, dynamically allocating weights, and outputting a value used to control the moving speed of the cooling device. The two-factor weighted algorithm includes: Temperature coefficient quantification is based on the highest temperature in the sub-region, setting high-temperature and low-temperature benchmarks. The temperature coefficient value increases as the highest longitudinal temperature increases. The ash accumulation coefficient is quantified based on the average ash accumulation degree of the sub-region, and thick ash benchmark and thin ash benchmark are set. The ash accumulation coefficient value increases as the average ash accumulation degree increases.

2. The temperature control system according to claim 1, characterized in that, The cooling device includes a mounting frame (200) located on one side of the cooling area. A sliding mechanism is provided on the mounting frame (200), and a support frame (205) is mounted on the sliding mechanism. A spraying mechanism is mounted on the support frame (205). The spraying mechanism is used to spray water to cool the cooling area. The spraying mechanism can slide up and down along the support frame (205). A driving mechanism is provided on the support frame (205). The driving mechanism is used to drive the spraying mechanism to move laterally.

3. A temperature control system according to claim 2, characterized in that, The drive mechanism includes a drive shaft (208), with conical wheels (210) installed at both ends of the drive shaft (208). The drive mechanism also includes a rotating shaft (212) rotatably connected to the mounting frame (200). A flange (213) is provided on the rotating shaft (212). A belt (214) is movably sleeved on the rotating shaft (212). The rotating shaft (212) is in contact with the conical wheels (210) through the belt (214). A second power source (211) is fixedly installed on one side of the mounting frame (200). The output end of the second power source (211) is fixedly connected to the rotating shaft (212).

4. A temperature control system according to claim 3, characterized in that, The drive mechanism also includes a first power source (206) and a transmission box (207) fixedly installed on the support frame (205). The output end of the first power source (206) is fixedly connected to the input end of the transmission box (207). The output end of the transmission box (207) is fixedly connected to the transmission shaft (208). A limiting sleeve (209) is movably sleeved on the transmission shaft (208). The limiting sleeve (209) is fixedly connected to the support frame (205).

5. A temperature control system according to claim 4, characterized in that, The sliding mechanism includes a support rod (201) fixedly connected to the mounting frame (200), a sliding seat (202) movably sleeved on the support rod (201), the sliding seat (202) being slidably connected to the support rod (201) via rollers, a telescopic rod (203) fixedly installed at one end of the sliding seat (202), one end of the telescopic rod (203) being fixedly connected to the support frame (205), a spring (204) movably sleeved on the telescopic rod (203), the elastic force of the spring (204) acting on the support frame (205) to make the conical wheel (210) fit against the rotating shaft (212).

6. A temperature control system according to claim 5, characterized in that, The execution decision module controls the movement of the cooling device based on the numerical output of the two-factor weighted algorithm. The cooling device drives the conical wheel (210) to roll along the rotating shaft (212) through the first power source (206). The angle of the rotating shaft (212) is controlled by the second power source (211) so that it fits with different parts of the conical wheel (210), thereby controlling the movement speed of the cooling device.

7. A temperature control system according to claim 6, characterized in that, The execution decision module includes a speed control strategy. The speed control strategy includes drawing a coordinate system with the direction of the cross section of the rotating shaft (212) as the reference plane, and obtaining the projection curves of the outer contour cross sections of the belt (214) and the conical wheel (210) on the coordinate system. Based on the projection curves of the two, the relationship between the different cross-sectional radii of the conical wheel (210) being contacted and the rotation angle of the rotating shaft (212) is obtained. The relationship between the moving speed of the cooling device and the rotation angle of the rotating shaft (212) is obtained by combining the rotation speed of the conical wheel (210) and the contact radius.

8. A temperature control system according to claim 7, characterized in that, The speed control strategy also includes establishing a relationship between the value output by the two-factor weighted algorithm and the rotation angle of the rotating shaft (212). The higher the value output by the two-factor weighted algorithm, the larger the rotation angle.

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