Graphene photoelectric detection device

Abstract

The invention relates to the technical field of photoelectric detection, and particularly discloses a graphene photoelectric detection device which comprises a device body and a radiator, a first light absorption layer, a graphene layer and a second light absorption layer are arranged in the device body, the graphene layer is located between the first light absorption layer and the second light absorption layer, the first light absorption layer is used for absorbing short waves, and the second light absorption layer is used for absorbing short waves. The second light absorption layer is used for absorbing long waves, a metal electrode is arranged on the surface of the graphene layer, the radiator is arranged on the device body, the radiator is connected with the circulating cooling heat dissipation pipe, and the circulating cooling heat dissipation pipe is arranged in the contact area of the graphene layer, the first light absorption layer and the second light absorption layer. According to the invention, the wide-spectrum absorption characteristic and high thermal conductivity of graphene are utilized, and the elaborately designed radiator is combined, so that the real-time monitoring and intelligent regulation and control of the internal temperature of the photoelectric detector are realized, the performance of the device is improved, the service life is prolonged, and the maintenance cost is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of photoelectric detection, in particular to a graphene photoelectric detection device. BACKGROUND

[0002] As an important part of modern technology, photoelectric detection technology plays a crucial role in communication, imaging, sensing and other fields. However, traditional photoelectric detection devices are limited by the light absorption characteristics of single semiconductor materials, and their spectral response range is often narrow, which is difficult to meet the growing demand for wide spectrum detection. In addition, under high-intensity or long-time light conditions, a large amount of heat will be generated in the photoelectric detection device due to the photoelectric conversion process. If there is no effective heat dissipation mechanism, the temperature of the device will rise sharply, which will cause a series of problems such as performance degradation, stability damage and even device failure.

[0003] Graphene, as a kind of carbon material with unique two-dimensional structure, has great application potential in the field of photoelectric detection due to its excellent electrical, optical and thermal conductivity performance. Graphene not only provides efficient carrier transport channels, but also can be combined with a variety of materials to achieve wide spectrum response to different wavelengths of light. However, when graphene is applied to photoelectric detection devices, how to effectively manage the heat accumulation inside the device and ensure the thermal stability of the device under high load becomes a key factor restricting its performance improvement and practical application.

[0004] Although some researchers have tried to use external cooling devices or complex heat dissipation structures to solve the heat dissipation challenge of graphene photoelectric detection devices, these methods generally have the limitations of low heat dissipation efficiency, high structural complexity and high cost, which limit the possibility of their large-scale application. SUMMARY

[0005] The present application aims to solve the problem of heat dissipation of graphene photoelectric detection devices under high power density. To this end, the present application provides a graphene photoelectric detection device, which realizes real-time monitoring and intelligent control of the internal temperature of the photoelectric detection device by utilizing the wide spectrum absorption characteristics and high thermal conductivity of graphene, combined with a carefully designed heat sink, thereby improving device performance, prolonging service life and reducing maintenance costs.

[0006] The present application provides a graphene photoelectric detection device, which adopts the following technical solutions: comprising a device body and a heat sink, A first light absorption layer, a graphene layer and a second light absorption layer are arranged in the device body, the graphene layer is located between the first light absorption layer and the second light absorption layer, the first light absorption layer is used for absorbing short waves, the second light absorption layer is used for absorbing long waves, and a metal electrode is arranged on the surface of the graphene layer, The heat sink is arranged on the device body, and the heat sink is connected with a circulating cooling heat dissipation pipe arranged at a contact area between the graphene layer and the first light absorption layer and a contact area between the graphene layer and the second light absorption layer.

[0007] Further, the first light absorption layer adopts a single-crystal silicon sheet material, and the second light absorption layer adopts a quantum dot material.

[0008] Further, the device adopts a back incidence design, and the incident light is incident from the first light absorption layer.

[0009] Further, the graphene layer adopts single-layer graphene or multi-layer graphene; when the graphene layer adopts multi-layer graphene, an isolation layer is arranged between two graphene layers.

[0010] Further, a protective layer is arranged outside the graphene layer, and the protective layer comprises one or more protective films and reflective films, the protective film is made of a polymer material, and the reflective film is made of a metal or a metal oxide.

[0011] Further, the device further comprises an intelligent heat dissipation module and a temperature sensor, the intelligent heat dissipation module is connected with the temperature sensor and the heat sink respectively, the intelligent heat dissipation module is used to control the heat sink to work, and the temperature sensor is used to detect the real-time temperature of the graphene layer. The working process of the intelligent heat dissipation module comprises: S1.1: obtaining the temperature of the graphene layer measured by the temperature sensor; S1.2: comparing the temperature with a normal threshold value and a warning threshold value to determine the temperature state, specifically: when the temperature is less than or equal to the normal threshold value, the temperature state is normal, when the temperature is greater than the normal threshold value and less than or equal to the warning threshold value, the temperature state is warning, when the temperature is greater than the warning threshold value, the temperature state is emergency; and S1.3: controlling the heat sink to work according to the temperature state, specifically: when the temperature state is normal, maintaining the initial power of the heat sink, when the temperature state is warning, increasing the power of the heat sink, when the temperature state is emergency, the heat sink adopts a full-power heat dissipation mode.

[0012] Further, the working process of the intelligent heat dissipation module further comprises: S2.1: obtaining the working current and the light power value of the device; S2.2: if the working current or the light power value exceeds a threshold value, increasing the reference flow rate of the cooling liquid and / or starting the fan.

[0013] Further, the environmental temperature sensor is connected with the intelligent heat dissipation module, The working process of the intelligent heat dissipation module further includes: S3.1: obtaining the environmental temperature measured by the environmental temperature sensor; S3.2: if the environmental temperature exceeds the environmental temperature safety threshold, then the warning threshold is lowered, and the adjustment range of the cooling liquid flow rate is increased.

[0014] Further, the lowering amount of the warning threshold is the difference between the environmental temperature and the environmental temperature safety threshold, and the adjustment range of the cooling liquid flow rate is 4% of the difference.

[0015] Further, the working process of the intelligent heat dissipation module further includes: S4.1: obtaining the working current, the optical power value and the environmental temperature; S4.2: according to the working current, the optical power value and the environmental temperature, searching the heat dissipation performance attenuation database to obtain the temperature rise rate historical threshold; S4.3: calculating the actual temperature rise rate according to the temperature; S4.4: if the actual temperature rise rate exceeds the temperature rise rate historical threshold, then the adjustment range of the cooling liquid flow rate is increased.

[0016] The one or more technical solutions in the embodiments of the present application have at least one of the following technical effects: 1. The present application designs a sandwich structure of a first light absorption layer, a graphene layer and a second light absorption layer. The first light absorption layer absorbs short waves, the second light absorption layer absorbs long waves, and the graphene layer provides a high-gain carrier transport channel. The ingenious combination of the two light absorption layers and the graphene layer widens the spectral response range of the device. Through the high mobility characteristics of graphene, the separation and transmission efficiency of photo-generated carriers are effectively improved, thereby significantly improving the sensitivity and accuracy of photoelectric detection and widening the spectral response range.

[0017] 2. The present application sets the circulating cooling heat dissipation pipe in the contact area of the graphene layer and the first light absorption layer and the contact area of the graphene layer and the second light absorption layer, effectively improving the heat dissipation capacity.

[0018] 3. The present application uses an intelligent heat dissipation module to control the operation of the heat sink. The intelligent heat dissipation module compares the received temperature data with two preset temperature thresholds and adjusts the heat dissipation strategy according to the comparison result, so as to realize precise control of the internal temperature of the graphene sandwich photoelectric detection device and ensure the stability and efficient operation of the device.

[0019] 4. The intelligent heat dissipation module of the present application adopts a working load dynamic response mechanism, an environmental temperature self-adaptive compensation mechanism and a heat dissipation performance attenuation learning mechanism, realizes dynamic heat dissipation control through multi-dimensional parameter collaborative analysis, precisely adjusts the temperature of the graphene layer through intelligent control of the heat sink, and ensures the stability and efficient operation of the device. Through the triple mechanism, the present application realizes: forward-looking control: avoid temperature hysteresis fluctuations by predicting heat dissipation demand; environmental compatibility: dynamically compensate for the negative effects of environmental temperature rise on the heat dissipation system; life maintenance: adaptively offset performance degradation caused by aging of the heat dissipation component.

[0020] Additional aspects and advantages of the present application will be in part apparent and in part pointed out hereinafter. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the present application or prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0022] Figure 1 is a structural schematic diagram provided by the present application.

[0023] Figure 2 is a top view schematic diagram provided by the present application.

[0024] Figure 3 is a flowchart of the intelligent heat dissipation module provided by the present application according to temperature control of the heat sink.

[0025] Figure 4 is a flowchart of the heat dissipation performance attenuation learning mechanism of the intelligent heat dissipation module provided by the present application.

[0026] Reference signs: 1, device body; 2, heat sink; 3, metal electrode; 4, first light absorbing layer; 5, second light absorbing layer; 6, circulating cooling heat dissipation pipe; 7, graphene layer. DETAILED DESCRIPTION

[0027] In order to make the objects, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be described clearly and completely below in combination with the drawings in the present application. Obviously, the described embodiments are some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application. The following embodiments are used to illustrate the present application, but cannot be used to limit the scope of the present application.

[0028] In the description of the specification, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" and the like means that the specific features, structures or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures or characteristics described can be combined in any suitable manner in one or more embodiments or examples. In addition, the person skilled in the art can combine and combine the different embodiments or examples described in the specification and the features of the different embodiments or examples without contradiction.

[0029] The following will be described in combination with Figures 1 to 4 Further detailed description of the present application, describes a graphene photodetector device: In this embodiment, as Figure 1 and Figure 2 As shown, a graphene photodetector device is provided, which includes a device body 1 and a heat sink 2. The device body is provided with a first light absorbing layer 4, a graphene layer 7 and a second light absorbing layer 5. The graphene layer is located between the first light absorbing layer and the second light absorbing layer, forming a sandwich structure. The graphene layer provides a high-gain carrier transport channel for the first light absorbing layer and the second light absorbing layer, which generates heat when performing photodetection. The material of the first light absorbing layer is a short-wave absorbing material that does not absorb long waves, and the first light absorbing layer is used to absorb short waves. The second light absorbing layer is used to absorb long waves. The surface of the graphene layer is provided with a metal electrode 3.

[0030] The heat sink is provided on the device body, and the heat sink is connected with the cooling liquid inlet and outlet of the circulating cooling radiator pipe 6. The circulating cooling radiator pipe is arranged in the contact area of the graphene layer and the first light absorbing layer, and the contact area of the graphene layer and the second light absorbing layer.

[0031] The first light absorption layer adopts monocrystalline silicon flake material, and its thickness is accurately calculated to ensure effective absorption of short-wave part, such as ultraviolet to visible light, while reducing unnecessary reflection and transmission loss. The second light absorption layer adopts quantum dot material, and by adjusting the size and composition of quantum dots, a wide range of high-efficiency absorption of long-wave part, such as near-infrared light, is achieved. The specific material of the first light absorption layer and the second light absorption layer is selected according to actual use needs. The ingenious combination of the two light absorption layers and the graphene layer not only widens the spectral response range of the device, but also effectively improves the separation and transport efficiency of photo-generated carriers through the high mobility characteristics of graphene, thereby significantly improving the sensitivity and accuracy of photoelectric detection and widening the spectral response range; by optimizing the interface structure and material matching between the layers, light loss is reduced and photoelectric conversion efficiency is improved.

[0032] The device adopts a back incidence design, that is, the incident light first passes through the first light absorption layer, the carrier transport is enhanced through the graphene layer, and finally the long-wave part is captured by the second light absorption layer. This design makes full use of the absorption characteristics of each layer of material, so that the incident light from ultraviolet to near-infrared band can be efficiently utilized, realizing wide spectral response from ultraviolet to near-infrared band, and improving the spectral coverage and photoelectric conversion efficiency of the photoelectric detection device. The combination of high short-wave absorption efficiency of the first light absorption layer and tunable long-wave absorption characteristics of the second light absorption layer, together with the excellent electrical conductivity of the graphene layer, jointly constructs an efficient and wide-spectrum photoelectric detection system. The back incidence design reduces the loss of light in the transmission process, further improving the performance of the device.

[0033] The graphene layer adopts single-layer graphene or multi-layer graphene; wherein the single-layer graphene structure has excellent electrical properties and mechanical strength, and the multi-layer graphene structure can adjust the electrical properties and optical properties according to actual needs. The graphene layer is prepared by chemical vapor deposition (CVD), which specifically includes the following steps: first, on a copper, nickel or other metal catalyst substrate, carbon atoms are generated by introducing hydrocarbon gas at high temperature, and a graphene layer is formed on the surface of the catalyst substrate; second, the graphene layer is transferred from the catalyst substrate to the target substrate by chemical etching or mechanical peeling and other methods; finally, according to the needs of device design, the graphene layer is patterned, such as by photolithography, laser etching or chemical etching, to form a graphene structure with a specific shape and size. When preparing a multi-layer graphene structure, the above process can be repeated, and a separation layer can be inserted between the two graphene layers to avoid interaction between the layers and protect the lower graphene from etching and damage.

[0034] The device body also includes a protective layer (not shown in the figure), located outside the graphene layer, to protect the graphene structure from damage by the external environment. The protective layer comprises one or more protective films made of polymer materials with excellent chemical stability and mechanical strength, capable of blocking the intrusion of harmful substances such as oxygen, moisture, and pollutants. The protective film is fixed to the graphene structure through chemical bonding, physical adsorption, or adhesives to ensure the stability and reliability of the protective film. Furthermore, the protective layer may also include one or more reflective films to reflect unabsorbed light, improving the device's photoelectric conversion efficiency. The reflective films are made of metals or metal oxides with high reflectivity, such as aluminum, silver, and titanium dioxide, and are prepared on the outer surface of the protective film using processes such as evaporation, sputtering, or coating.

[0035] This embodiment also includes an intelligent heat dissipation module and a temperature sensor. The intelligent heat dissipation module is connected to both the temperature sensor and the heat sink. The intelligent heat dissipation module controls the operation of the heat sink, and the temperature sensor detects the real-time temperature of the graphene layer. The intelligent heat dissipation module is integrated inside the heat sink. The intelligent heat dissipation module controls the operation of the heat sink by adjusting the flow rate of the coolant by controlling the power of the heat sink's pump and adjusting the temperature of the coolant by controlling the speed of the heat sink's fan. The heat sink is a common type of existing technology, where the heat sink's heat pipes are connected to the circulating cooling heat pipes, and the coolant flows within the heat sink and circulating cooling heat pipes. A pump is installed on the heat sink, and the fan faces the heat sink.

[0036] A high-precision temperature sensor is positioned near or in direct contact with the graphene layer to ensure real-time and accurate temperature measurement. The temperature sensor connects to and transmits data to the intelligent heat dissipation module via wired or wireless means, feeding back real-time temperature data. The intelligent heat dissipation module compares the received temperature data with two preset temperature thresholds and adjusts its heat dissipation strategy based on the comparison results. This achieves precise temperature control within the graphene sandwich photodetector, ensuring device stability and efficient operation.

[0037] The number of temperature sensors can be one or more. When there are multiple temperature sensors, they form a sensor array to accurately collect the real-time temperature of multiple points in the graphene layer. The average of the real-time temperatures of these multiple points is used as the measured temperature of the graphene layer and is used for temperature threshold comparison.

[0038] The intelligent heat dissipation module controls the operation of the heat sink according to a heat dissipation strategy, such as... Figure 3 As shown, the heat sink is used to dissipate heat from the graphene layer, keeping its temperature within a preset suitable range to maintain normal heat dissipation of the device and ensure the stability and efficiency of the photoelectric detection process.

[0039] The embodiment sets two temperature thresholds: a normal threshold and a warning threshold, to intelligently analyze the real-time temperature and distinguish three temperature states: normal, warning and emergency. When the temperature is within the preset appropriate range, i.e., the temperature is less than or equal to the normal threshold, the current cooling strategy is maintained unchanged; once the temperature exceeds the normal threshold but does not reach the warning threshold, i.e., the temperature is greater than the normal threshold and less than or equal to the warning threshold, the adjustment program is started, and the parameters of the heat sink are fine-tuned to preliminarily reduce the temperature, for example, the flow rate of the cooling liquid is increased, and the rotation speed of the fan is increased; if the temperature continues to rise above the warning threshold, i.e., the temperature is greater than the warning threshold, the full-power cooling mode of the heat sink is triggered immediately to ensure the safety of the device.

[0040] The comparison and judgment of the temperature and the temperature threshold can be realized by the following formula: wherein, T is the temperature of the graphene layer, Tnormal is the normal threshold, Twarning is the warning threshold.

[0041] In summary, the working process of the intelligent cooling module includes: S1.1: obtaining the temperature of the graphene layer measured by the temperature sensor; S1.2: comparing the temperature with the normal threshold and the warning threshold to judge the temperature state, specifically: when the temperature is less than or equal to the normal threshold, the temperature state is normal, when the temperature is greater than the normal threshold and less than or equal to the warning threshold, the temperature state is warning, when the temperature is greater than the warning threshold, the temperature state is emergency; S1.3: controlling the heat sink to work according to the temperature state, specifically: when the temperature state is normal, the initial power of the heat sink is maintained, and the parameters of the heat sink are not adjusted, when the temperature state is warning, the power of the heat sink is increased, specifically the flow rate of the cooling liquid is increased or the rotation speed of the fan is increased, when the temperature state is emergency, the heat sink adopts the full-power cooling mode.

[0042] After the power of the heat sink is increased or the heat sink adopts the full-power cooling mode, when the temperature state is normal, the power of the heat sink is gradually reduced until the initial power of the heat sink is reached.

[0043] The embodiment realizes the fine adjustment of the cooling strategy by subdividing the temperature state, which not only improves the response speed and accuracy of the cooling system, effectively avoids the occurrence of overheating, ensures the safe operation of the device, but also reduces unnecessary energy consumption.

[0044] The intelligent heat dissipation module of the embodiment, in addition to the basic function of adjusting the working power of the heat sink according to the temperature of the graphene layer, also adds a working load dynamic response mechanism, an environmental temperature self-adaptive compensation mechanism and a heat dissipation performance attenuation learning mechanism, realizes dynamic heat dissipation control through multi-dimensional parameter collaborative analysis, accurately adjusts the temperature of the graphene layer through intelligent control of the heat sink, and ensures the stability and efficient operation of the device. Through the triple mechanism, the embodiment realizes: forward-looking control: avoiding temperature hysteresis fluctuations by predicting the heat dissipation demand of the working load; environmental compatibility: dynamically compensating the negative impact of environmental temperature rise on the heat dissipation system; life maintenance: adaptively offsetting the performance degradation caused by the aging of the heat dissipation component.

[0045] Working load dynamic response mechanism: real-time monitoring of the working current of the photoelectric detection device and the input optical power value, establishing a working load grading model. When high light intensity input or continuous large current work is detected, the module automatically identifies it as a high load state, increases the reference flow rate of the circulating heat dissipation pipe in advance, and starts the heat sink auxiliary fan to offset the rising heat generation rate caused by the intensification of carrier transport.

[0046] The specific working process of the intelligent heat dissipation module is as follows: S2.1: Obtain the working current of the device and the optical power value ; S2.2: If the working current or the optical power value exceeds the threshold value, that is, when or , the reference flow rate of the cooling liquid is increased and / or the fan is started, and the flow rate of the cooling liquid is preferentially increased. Wherein, is the working current threshold value, is the optical power value threshold value. The threshold value is set according to the actual situation.

[0047] After the adjustment of step S2.2, if the working current or the optical power value does not exceed the threshold value in the later period, the reference flow rate of the cooling liquid is restored to the initial value, and the fan is turned off.

[0048] Environmental temperature self-adaptive compensation mechanism: an environmental temperature sensor is integrated outside the device body, the environmental temperature sensor collects device operating environment temperature data in real time and sends it to the intelligent heat dissipation module. When the environmental temperature exceeds the preset environmental temperature safety threshold value, the intelligent heat dissipation module dynamically lowers the warning threshold of the temperature and increases the adjustment amplitude of the cooling liquid flow rate to compensate for the weakening of the heat dissipation efficiency caused by the high temperature environment.

[0049] The specific working process of the intelligent heat dissipation module is as follows: S3.1: Obtain the environmental temperature measured by the environmental temperature sensor; S3.2: Adjust the pre-warning threshold and the adjustment range of the coolant flow rate according to the ambient temperature and the ambient temperature safety threshold. If the ambient temperature exceeds the ambient temperature safety threshold, lower the pre-warning threshold and increase the adjustment range of the coolant flow rate. In this embodiment, the lowering amount of the pre-warning threshold is the difference between the ambient temperature and the ambient temperature safety threshold, and the adjustment range of the coolant flow rate is the difference multiplied by 4%. For example, if the ambient temperature safety threshold is 35℃ and the ambient temperature is 40℃, the difference is 5, the pre-warning threshold is lowered by 5℃, and the adjustment range of the coolant flow rate is increased by 20%. When the ambient temperature does not exceed the ambient temperature safety threshold, the pre-warning threshold and the adjustment range of the coolant flow rate use the initial values.

[0050] Heat dissipation performance attenuation learning mechanism: record the aging characteristics of the heat dissipation pipe, such as the heat conduction efficiency decline curve, through long-term running data (including temperature rise rate, working current, optical power value and ambient temperature), and establish a heat dissipation performance attenuation database. When it is detected that the actual temperature rise rate under the same working condition (including working current, optical power value and ambient temperature) is higher than the temperature rise rate historical reference value, the system automatically determines that the heat dissipation performance is attenuated, and actively increases the reference flow rate of the coolant to ensure the stability of the heat dissipation performance.

[0051] As shown in Figure 4 the working process of the intelligent heat dissipation module also includes: S4.1: Obtain temperature, working current, optical power value and ambient temperature, which can also use the data obtained in steps S1.1, S2.1 and S3.1; S4.2: According to the working current, optical power value and ambient temperature, look up the heat dissipation performance attenuation database to obtain the temperature rise rate historical threshold value; the temperature rise rate historical threshold value is determined according to the temperature rise rate historical reference value; S4.3: Calculate the actual temperature rise rate according to the temperature; S4.4: If the actual temperature rise rate exceeds the temperature rise rate historical threshold value, increase the reference flow rate of the coolant. Otherwise, maintain the original reference flow rate of the coolant unchanged. For example: take 1.1 times of the temperature rise rate historical reference value as the temperature rise rate historical threshold value, and if the actual temperature rise rate exceeds the temperature rise rate historical reference value by more than 10%, trigger the excessive adjustment mode to increase the reference flow rate of the coolant by 1.5 times.

[0052] The intelligent heat dissipation module accurately calculates the actual temperature rise rate by analyzing the change trend of the real-time temperature. When it detects that the actual temperature rise rate is abnormal, it can predict the heat dissipation demand in advance even if the current temperature has not reached the preset threshold (normal threshold, pre-warning threshold), and dynamically adjust the cooling strategy of the heat dissipation module. In this embodiment, the dynamic adjustment of the cooling strategy of the heat dissipation module is to increase the reference flow rate of the coolant, and according to the actual situation, adjustment of the circulation path or activation of the standby heat dissipation unit can also be used.

[0053] The intelligent heat dissipation module has a built-in intelligent algorithm, realizes a triple mechanism, and can adaptively adjust the temperature threshold according to the specific application scene and historical temperature data of the device. The intelligent heat dissipation module not only compares the current temperature with the preset threshold, but also comprehensively evaluates in combination with the temperature rise rate and the like. When the internal temperature of the device body approaches or is expected to exceed the safety threshold, the intelligent heat dissipation module can also automatically trigger a warning signal to notify the user or the system administrator through a visual, audible or remote communication mode, so as to reserve time for taking further heat dissipation measures and ensure the continuity and stability of the photoelectric detection process.

[0054] The intelligent heat dissipation module also has learning ability and can optimize the adjustment strategy of the flow rate and the like according to long-term operation data, so as to balance the optimal heat dissipation efficiency and energy consumption ratio. The intelligent heat dissipation module can respond to the temperature change within milliseconds to realize smooth and continuous adjustment of the flow rate of the cooling liquid, improve the response speed and adjustment accuracy of the heat dissipation system, ensure stable heat dissipation of the device at different temperatures, and realize the best balance between the heat dissipation efficiency and the energy consumption ratio by optimizing the flow rate of the cooling liquid, thereby reducing the operation cost.

[0055] In actual use of the embodiment, when incident light irradiates on the device, the graphene layer converts light energy into electrical energy by virtue of its excellent optical transparency and electrical properties. Meanwhile, different material layers in the light absorption layer combination absorb light of different wavelengths respectively, and further convert light energy into electrical signals through generation and separation of electron-hole pairs. The temperature sensor monitors the internal temperature of the device in real time, and once the temperature exceeds the preset threshold, the intelligent heat dissipation module starts the corresponding heat dissipation strategy, and the heat sink removes heat through physical heat dissipation means to keep the working temperature of the device within the safe range.

[0056] The embodiment improves the heat dissipation efficiency and photoelectric conversion efficiency of the device by optimizing the heat dissipation system and the design of the light absorption layer, thereby significantly improving the sensitivity and accuracy of photoelectric detection. The device can stably operate under various working conditions by virtue of the introduction of the intelligent heat dissipation module and the triple mechanism, and performance degradation or damage caused by overheating is avoided. The optimal balance between the heat dissipation efficiency and the energy consumption ratio is realized by adaptive flow rate adjustment and intelligent heat dissipation strategy, thereby reducing the operation cost of the device. The wide-spectrum response light absorption layer design and the back-incident photoelectric detection strategy of the embodiment enable the device to be applied to a wider photoelectric detection field and meet the needs of different application scenes.

[0057] It should be pointed out finally that the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit the same; and although the present application has been described in detail with reference to the foregoing embodiments, it should be appreciated by those skilled in the art that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features thereof can be replaced equivalently; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A device for graphene photodetection, characterized in that, The device comprises: a device body and a heat sink, a first light absorption layer, a graphene layer and a second light absorption layer are arranged in the device body, the graphene layer is located between the first light absorption layer and the second light absorption layer, the first light absorption layer is used for absorbing short waves, the second light absorption layer is used for absorbing long waves, and a metal electrode is arranged on the surface of the graphene layer, the heat sink is arranged on the device body, the heat sink is connected with a circulating cooling heat dissipation pipe, and the circulating cooling heat dissipation pipe is arranged in a contact area of the graphene layer and the first light absorption layer and a contact area of the graphene layer and the second light absorption layer.

2. A graphene photodetector device as claimed in claim 1, wherein, The first light absorption layer adopts a single crystal silicon sheet material, and the second light absorption layer adopts a quantum dot material.

3. A graphene photodetector device as claimed in claim 1 or 2, wherein, The device adopts a back incidence design, and incident light is incident from the first light absorption layer.

4. The graphene photodetector device of claim 1, wherein, The graphene layer adopts single-layer graphene or multi-layer graphene; when the graphene layer adopts multi-layer graphene, an isolation layer is arranged between two graphene layers.

5. A graphene photodetector device as claimed in claim 1 or 4, wherein, A protective layer is located outside the graphene layer, the protective layer comprises one or more protective films and reflective films, the protective film is made of a polymer material, and the reflective film is made of metal or metal oxide.

6. The graphene photodetector device of claim 1, wherein, Further comprising: an intelligent heat dissipation module and a temperature sensor, the intelligent heat dissipation module is connected with the temperature sensor and the heat sink respectively, the intelligent heat dissipation module is used for controlling the heat sink to work, and the temperature sensor is used for detecting the real-time temperature of the graphene layer; The working process of the intelligent heat dissipation module comprises: S1.1: obtaining the temperature of the graphene layer measured by the temperature sensor; S1.2: comparing the temperature with a normal threshold value and a warning threshold value to determine the temperature state, specifically: when the temperature is less than or equal to the normal threshold value, the temperature state is normal, when the temperature is greater than the normal threshold value and less than or equal to the warning threshold value, the temperature state is warning, when the temperature is greater than the warning threshold value, the temperature state is emergency; S1.3: controlling the heat sink to work according to the temperature state, specifically: when the temperature state is normal, maintaining the initial power of the heat sink, when the temperature state is warning, increasing the power of the heat sink, when the temperature state is emergency, the heat sink adopts a full-power heat dissipation mode.

7. A graphene photodetector device as claimed in claim 6, wherein, The working process of the intelligent heat dissipation module further comprises: S2.1: obtaining the working current and light power value of the device; S2.2: if the working current or the light power value exceeds a threshold value, increasing the reference flow rate of the cooling liquid and / or starting a fan.

8. A graphene photodetector device as claimed in claim 6, wherein, An environment temperature sensor is connected with the intelligent heat dissipation module, The working process of the intelligent heat dissipation module further comprises: S3.1: obtaining the environment temperature measured by the environment temperature sensor; S3.2: if the environment temperature exceeds an environment temperature safety threshold value, reducing the warning threshold value and increasing the adjustment range of the cooling liquid flow rate.

9. A graphene photodetector device as claimed in claim 8, wherein, The reduction amount of the warning threshold value is the difference between the environment temperature and the environment temperature safety threshold value, and the adjustment range of the cooling liquid flow rate is 4% of the difference.

10. A graphene photodetector device as claimed in claim 6, wherein, The working process of the intelligent heat dissipation module further comprises: S4.1: obtaining the working current, the light power value and the environment temperature; S4.2: according to the working current, the light power value and the environment temperature, searching a heat dissipation performance attenuation database to obtain a temperature rise rate historical threshold value; S4.3: calculating an actual temperature rise rate according to the temperature. S4.4: If the actual temperature rise rate exceeds the temperature rise rate history threshold, increase the adjustment magnitude of the coolant flow rate.

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