A norm-based design of underwater acoustic signal processor integrated heat dissipation system

Abstract

The application discloses a kind of based on specification design's underwater acoustic signal processor integration heat dissipation system, belong to underwater acoustic signal processor heat dissipation technical field, comprising: multiple AFT heat dissipation channels, all be located in underwater acoustic signal processor;Wherein, each AFT heat dissipation channel passes through the functional area of a underwater acoustic signal processor;Data acquisition module is used to obtain the real-time temperature distribution data of multiple AFT heat dissipation channels;Data processing module is used to determine the corresponding heat dissipation power according to the real-time temperature distribution data of AFT heat dissipation channel;Fan module is connected with multiple AFT heat dissipation channels, for sending cold air into AFT heat dissipation channel according to heat dissipation power, so that cold air exchanges heat with element in AFT heat dissipation channel, completes the heat dissipation of functional area;AFT efficiency evaluation module is used to judge the heat dissipation capacity of AFT heat dissipation channel and fan corresponding functional area, and sends alarm to administrator when heat dissipation capacity is too low.

Description

Technical Field

[0001] This invention belongs to the field of underwater acoustic signal processor heat dissipation technology, specifically relating to an integrated heat dissipation system for underwater acoustic signal processors based on standard design. Background Technology

[0002] As core equipment in marine engineering, underwater exploration, and national defense, underwater acoustic signal processors undertake critical tasks such as underwater acoustic signal acquisition, filtering, analysis, processing, and transmission. Their operational stability and reliability directly determine the accuracy of underwater exploration, communication quality, and equipment lifespan. Heat dissipation performance is one of the core bottlenecks affecting the stable operation of underwater acoustic signal processors. With the continuous upgrading of underwater exploration technology, the integration, processing speed, and power density of underwater acoustic signal processors have significantly increased. The number of integrated functional modules (such as signal acquisition modules, processing modules, and storage modules) has increased, and power consumption has continued to rise, leading to a sharp increase in heat generation per unit volume. Simultaneously, underwater acoustic signal processors often operate in sealed, confined underwater environments (such as submarines, underwater robots, and sonar buoys). Underwater temperatures fluctuate greatly, and the heat transfer efficiency of the heat dissipation medium is limited. Furthermore, the equipment must meet stringent sealing requirements such as waterproofing, pressure resistance, and interference resistance. Traditional heat dissipation methods are insufficient to efficiently remove internal heat, easily leading to localized overheating problems.

[0003] Currently, the common heat dissipation methods for underwater acoustic signal processors mainly include passive and active cooling. Passive cooling transfers heat to the device casing through heat-conducting elements such as heat sinks, thermal pads, and heat pipes, and then the casing exchanges heat with the external water. While simple in structure and without additional energy consumption, it has low heat dissipation efficiency, making it difficult to meet the heat dissipation requirements of high-power-density equipment. Furthermore, heat tends to accumulate inside the device, leading to uneven temperature distribution across different functional areas and affecting the operational accuracy of precision components. Active cooling methods (such as fan cooling) can improve heat dissipation efficiency, but they have significant limitations in underwater acoustic signal processor applications. Traditional fan cooling often uses a general airflow mode without differentiated design for the heat generation characteristics of different functional areas within the device. This results in unreasonable airflow distribution; areas with high heat generation cannot receive sufficient cooling power, while areas with low heat generation have redundant cooling. This not only limits heat dissipation efficiency but also increases equipment energy consumption and operating noise.

[0004] In addition, the existing heat dissipation system lacks the ability to monitor and precisely control the temperature of each functional area of ​​the underwater acoustic signal processor in real time. It cannot dynamically adjust the heat dissipation power according to the real-time heat dissipation status of each functional area, resulting in a mismatch between the heat dissipation system and the heat dissipation requirements of the equipment. Either the insufficient heat dissipation leads to overheating and aging of components and performance degradation, or the excessive heat dissipation causes energy waste, which further reduces the reliability and economy of the underwater acoustic signal processor in long-term underwater operation.

[0005] Therefore, there is an urgent need for an integrated heat dissipation system for underwater acoustic signal processors based on standardized design to solve the problems existing in the current technology. Summary of the Invention

[0006] In view of this, the present invention provides an integrated heat dissipation system for underwater acoustic signal processors based on standardized design, which solves the problem that existing heat dissipation systems lack the ability to monitor and precisely control the temperature of each functional area of ​​the underwater acoustic signal processor in real time, and cannot dynamically adjust the heat dissipation power according to the real-time heating status of each functional area. This results in a mismatch between the power of the heat dissipation system and the heating demand of the equipment, causing energy waste and reducing the reliability and economy of the underwater acoustic signal processor in long-term underwater operation.

[0007] To achieve the above objectives, the present invention provides an integrated heat dissipation system for an underwater acoustic signal processor based on a standardized design, comprising:

[0008] Multiple AFT heat dissipation channels are located inside the underwater acoustic signal processor; each AFT heat dissipation channel passes through a functional area of ​​the underwater acoustic signal processor.

[0009] The data acquisition module is used to acquire real-time temperature distribution data of multiple AFT heat dissipation channels;

[0010] The data processing module is used to determine the corresponding heat dissipation power based on the real-time temperature distribution data of the AFT heat dissipation channel;

[0011] The fan module is connected to multiple AFT heat dissipation channels and is used to send cool air into the AFT heat dissipation channels according to the heat dissipation power, so that the cool air exchanges heat with the components in the AFT heat dissipation channels and completes the heat dissipation of the functional area.

[0012] As an embodiment of the present invention, the data processing module performs the following operations:

[0013] Randomly select an AFT heat dissipation channel as the target heat dissipation channel, and obtain the real-time temperature data of the target heat dissipation channel and the dynamic power consumption of the corresponding functional area;

[0014] The basic heat dissipation power of the functional area is calculated based on real-time temperature data and dynamic power consumption, as shown below:

[0015]

[0016] In the formula, This indicates the basic heat dissipation power of the target heat dissipation channel. Indicates the thermal conductivity coefficient. This indicates the real-time temperature data for the functional area. Indicates the ambient temperature of the functional area. Indicates the dynamic power consumption of the functional area. The proportionality coefficient representing the conversion of power consumption into heat loss. Indicates the historical temperature rise inhibition factor;

[0017] The environmental impact coefficient is calculated based on the real-time task load level, vibration intensity value, and ambient humidity value of the functional area, as shown below:

[0018]

[0019] In the formula, Indicates the environmental impact coefficient. , and Correction factors for real-time task load level, vibration intensity value, and ambient humidity value, respectively. This indicates the real-time task load level of the function area. Indicates the vibration intensity value of the functional area. Indicates the ambient humidity value of the functional area. , and These represent the baseline values ​​for real-time task load level, vibration intensity value, and ambient humidity value, respectively.

[0020] The heat dissipation power of the functional area corresponding to the target heat dissipation channel is determined based on the environmental impact factor and the basic heat dissipation power, as shown below:

[0021]

[0022] In the formula, This indicates the heat dissipation power of the functional area corresponding to the target heat dissipation channel. Indicates the preset weighting factor. This indicates the basic heat dissipation power of the functional area at the previous moment. Indicates the power regulation coefficient. This indicates the real-time temperature data of the functional area at the previous moment;

[0023] Repeat the above steps to calculate the heat dissipation power corresponding to all AFT heat dissipation channels.

[0024] As an embodiment of the present invention, the fan module includes multiple fans, each fan being connected to an AFT heat dissipation channel; and performs the following operations:

[0025] Obtain the ambient wind speed of the ship;

[0026] The equivalent cooling power of the environment is calculated based on the ambient wind speed, as shown below:

[0027]

[0028] In the formula, Indicates the equivalent cooling power of the environment. This represents the wind energy to cooling energy conversion efficiency coefficient at the air inlet. Indicates air density, Indicates the effective area of ​​the air inlet. Indicates ambient wind speed. Indicates the angle between the ambient wind speed and the air inlet;

[0029] The required cooling power from the fan is determined based on the equivalent environmental cooling power, as shown below:

[0030]

[0031] In the formula, This indicates the cooling power required from the fan;

[0032] Based on the required cooling power provided by the fan and the power-fan power mapping table, the operating power of the fan corresponding to each AFT heat dissipation channel is obtained.

[0033] As one embodiment of the present invention, it also includes:

[0034] The AFT performance evaluation module is used to determine the heat dissipation capacity of the AFT heat dissipation channel and the corresponding functional area of ​​the fan. Specifically, it performs the following operations:

[0035] Acquire gas flow data, dynamic power consumption of functional areas, and fan aging status of the AFT heat dissipation channel;

[0036] The actual heat exchange efficiency and flow resistance coefficient change rate of the AFT heat dissipation channel are calculated based on gas flow data and dynamic power consumption of the functional area.

[0037] The actual heat exchange efficiency, the rate of change of flow resistance coefficient, and the degree of fan aging are input into the pre-trained heat dissipation capacity evaluation model to obtain the heat dissipation capacity index corresponding to the AFT heat dissipation channel and the fan.

[0038] Determine if the heat dissipation capacity index is greater than the preset value; if not, issue an alarm and send a message to management indicating insufficient heat dissipation capacity.

[0039] As an embodiment of the present invention, the rate of change of flow resistance coefficient is calculated based on gas flow data, as shown below:

[0040]

[0041] In the formula, This represents the rate of change of the flow resistance coefficient. Indicates the initial flow resistance coefficient. This indicates the pressure difference between the air inlet and outlet of the AFT cooling channel. This indicates the airflow of the AFT cooling channel. It is a flow state index.

[0042] As an embodiment of the present invention, the actual heat exchange efficiency of the AFT heat dissipation channel is calculated based on gas flow data and the dynamic power consumption of the functional area, as shown below:

[0043]

[0044] In the formula, This indicates the actual heat exchange efficiency. This indicates the specific heat capacity of the cold air in the AFT cooling system. This indicates the airflow velocity in the AFT cooling system. Indicates the heat exchange area. This indicates the exhaust temperature of the AFT cooling channel. This indicates the inlet temperature of the AFT cooling channel.

[0045] The beneficial effects of this invention are as follows: By designing a partitioned system with an independent heat dissipation channel corresponding to each functional area, combined with precise airflow distribution, the problem of uneven airflow in the traditional overall air supply mode is completely solved. This ensures that functional areas with high heat generation receive sufficient heat dissipation power, while areas with low heat generation avoid redundant energy consumption, effectively eliminating local heat accumulation. It also solves the problem that existing heat dissipation systems lack the ability to monitor and precisely control the temperature of each functional area of ​​the underwater acoustic signal processor in real time, and cannot dynamically adjust the heat dissipation power according to the real-time heating status of each functional area. This results in a mismatch between the heat dissipation system and the equipment's heating requirements, causing energy waste and reducing the reliability and economy of the underwater acoustic signal processor during long-term underwater operations.

[0046] Other advantages, objectives, and features of the invention will be set forth in the following description and will be apparent to those skilled in the art in some respects, or may be learned by practice of the invention. The objectives and other advantages of the invention can be realized and obtained through the following description. Attached Figure Description

[0047] To make the objectives, technical solutions, and beneficial effects of this invention clearer, the following figures are provided for illustration:

[0048] Figure 1 This is a schematic diagram of a module of an integrated heat dissipation system for an underwater acoustic signal processor based on a standard design, according to the present invention.

[0049] Figure 2 This is a flowchart illustrating the data processing module of an integrated heat dissipation system for underwater acoustic signal processors based on a standard design, according to the present invention.

[0050] Figure 3 This is a flowchart illustrating the fan module of an integrated cooling system for an underwater acoustic signal processor based on a standardized design, according to the present invention. Detailed Implementation

[0051] like Figures 1-3 As shown, this invention provides an integrated heat dissipation system for an underwater acoustic signal processor based on a standard design, comprising:

[0052] Multiple AFT heat dissipation channels are located inside the underwater acoustic signal processor; each AFT heat dissipation channel passes through a functional area of ​​the underwater acoustic signal processor.

[0053] The data acquisition module is used to acquire real-time temperature distribution data of multiple AFT heat dissipation channels;

[0054] The data processing module is used to determine the corresponding heat dissipation power based on the real-time temperature distribution data of the AFT heat dissipation channel;

[0055] The fan module is connected to multiple AFT heat dissipation channels and is used to send cool air into the AFT heat dissipation channels according to the heat dissipation power, so that the cool air exchanges heat with the components in the AFT heat dissipation channels and completes the heat dissipation of the functional area.

[0056] The working principle of the above technical solution is as follows: Based on the definition of the signal acquisition, processing, and data storage modules of the underwater acoustic signal processor, the entire machine is divided into several independent functional areas. Strictly following the VITA48.5 specification, an AFT (Air Filtration Through Cooling) cooling method is used to design a separate AFT cooling channel for each functional area. Each channel passes sequentially through the heat dissipation substrate of the core heat-generating components such as the FPGA and DSP within the corresponding functional area. Temperature sensors are placed at the channel inlet, component contact points, and outlet to collect real-time temperature distribution data of the AFT cooling channel. Multiple AFT cooling channels are then connected to a fan module to obtain an integrated cooling system. During equipment operation, the data acquisition module continuously collects data from each AFT channel. The system collects real-time temperature distribution data for the heat dissipation channels. Subsequently, the data processing module calculates the precise heat dissipation power required for each channel based on this data. Next, the fan module employs a multi-path independent air supply structure, adjusting the fan speed of the corresponding channel according to the heat dissipation power command, and precisely distributing cold air volume to each AFT heat dissipation channel. As the cold air flows through the component heat dissipation substrate within the channel, forced convection carries away the heat generated by the components, and the hot air is discharged through the channel outlet to the underwater acoustic signal processor. Simultaneously, the data acquisition module continuously collects temperature data and feeds it back to the data processing module, forming a closed-loop control system that adjusts the heat dissipation power and air volume in real time to ensure that the temperature of each functional area remains stable within a safe range.

[0057] The beneficial effects of the above technical solution are as follows: By implementing a zoned design with an independent heat dissipation channel corresponding to each functional area, combined with precise airflow distribution, the uneven airflow problem in the traditional overall air supply mode is completely solved. This ensures that functional areas with high heat generation receive sufficient heat dissipation power, while areas with low heat generation avoid redundant energy consumption, effectively eliminating local heat accumulation. Furthermore, it addresses the problem that existing heat dissipation systems lack the ability to monitor and precisely control the temperature of each functional area of ​​the underwater acoustic signal processor in real time. This results in an inability to dynamically adjust the heat dissipation power based on the real-time heating status of each functional area, leading to a mismatch between the heat dissipation system and the equipment's heating requirements, causing energy waste and reducing the reliability and economy of the underwater acoustic signal processor during long-term underwater operations.

[0058] In one embodiment, the data processing module performs the following operations:

[0059] Randomly select an AFT heat dissipation channel as the target heat dissipation channel, and obtain the real-time temperature data of the target heat dissipation channel and the dynamic power consumption of the corresponding functional area;

[0060] The basic heat dissipation power of the functional area is calculated based on real-time temperature data and dynamic power consumption, as shown below:

[0061]

[0062] In the formula, This indicates the basic heat dissipation power of the target heat dissipation channel. Indicates the thermal conductivity coefficient. This indicates the real-time temperature data for the functional area. Indicates the ambient temperature of the functional area. Indicates the dynamic power consumption of the functional area. The proportionality coefficient representing the conversion of power consumption into heat loss. Indicates the historical temperature rise inhibition factor;

[0063] The environmental impact coefficient is calculated based on the real-time task load level, vibration intensity value, and ambient humidity value of the functional area, as shown below:

[0064]

[0065] In the formula, Indicates the environmental impact coefficient. , and Correction factors for real-time task load level, vibration intensity value, and ambient humidity value, respectively. This indicates the real-time task load level of the function area. Indicates the vibration intensity value of the functional area. Indicates the ambient humidity value of the functional area. , and These represent the baseline values ​​for real-time task load level, vibration intensity value, and ambient humidity value, respectively.

[0066] The heat dissipation power of the functional area corresponding to the target heat dissipation channel is determined based on the environmental impact factor and the basic heat dissipation power, as shown below:

[0067]

[0068] In the formula, This indicates the heat dissipation power of the functional area corresponding to the target heat dissipation channel. Indicates the preset weighting factor. This indicates the basic heat dissipation power of the functional area at the previous moment. Indicates the power regulation coefficient. This indicates the real-time temperature data of the functional area at the previous moment;

[0069] Repeat the above steps to calculate the heat dissipation power corresponding to all AFT heat dissipation channels.

[0070] The working principle and beneficial effects of the above technical solution are as follows: First, a random AFT heat dissipation channel is selected as the target channel, and the real-time temperature data of the channel and the dynamic power consumption of the corresponding functional area are collected simultaneously (to input the real-time power of the functional area). The basic heat dissipation power of the functional area is calculated by using the thermal conductivity coefficient, real-time temperature difference, power consumption to heat conversion ratio, and historical temperature rise suppression factor. The correspondence between component heat generation and basic heat dissipation requirements is quantified. Then, the environmental impact coefficient is calculated by combining the real-time task load level, vibration intensity value, and ambient humidity value of the functional area corresponding to the target heat dissipation channel, and the deviation of heat dissipation requirements under different operating conditions is corrected. Finally, the heat dissipation power required by the target channel is determined by a formula that introduces a preset weighting factor, the basic heat dissipation power at the previous moment, and the temperature change rate to achieve a smooth connection between the current heat dissipation requirements and the historical operating status. By repeating the above calculation process, the heat dissipation power of the functional areas corresponding to all AFT heat dissipation channels can be obtained, providing a quantitative basis for the precise air delivery of the fan module.

[0071] By using the above technical solution, the required heat dissipation power of each functional area is quantitatively calculated to ensure that the heat dissipation power of each functional area can dynamically match the real-time heating status and environmental changes. This effectively solves the problem of "insufficient heat dissipation" or "excessive heat dissipation" in traditional heat dissipation systems, and significantly improves the operational stability and energy utilization efficiency of the underwater acoustic signal processor.

[0072] In one embodiment, the fan module includes a plurality of fans, each fan being connected to an AFT heat dissipation channel; performing operations including the following:

[0073] Obtain the ambient wind speed of the ship;

[0074] The equivalent cooling power of the environment is calculated based on the ambient wind speed, as shown below:

[0075]

[0076] In the formula, Indicates the equivalent cooling power of the environment. This represents the wind energy to cooling energy conversion efficiency coefficient at the air inlet. Indicates air density, Indicates the effective area of ​​the air inlet. Indicates ambient wind speed. Indicates the angle between the ambient wind speed and the air inlet;

[0077] The required cooling power from the fan is determined based on the equivalent environmental cooling power, as shown below:

[0078]

[0079] In the formula, This indicates the cooling power required from the fan;

[0080] Based on the required cooling power provided by the fan and the power-fan power mapping table, the operating power of the fan corresponding to each AFT heat dissipation channel is obtained.

[0081] The working principle and beneficial effects of the above technical solution: The fan module adopts an independent configuration mode of "one channel, one fan". During operation, it first obtains the ambient wind speed and the angle between the wind speed and the air inlet in real time through wind speed and angle sensors deployed at the air inlet of the ship. At the same time, combined with pre-set parameters such as the effective area of ​​the air inlet, air density, and wind energy to cooling energy conversion efficiency coefficient, it quantitatively calculates the effect of natural wind on AFT. The actual cooling power contributed by the heat dissipation channel; among which, the wind energy-cooling energy conversion efficiency coefficient is obtained by computational fluid dynamics simulation based on the three-dimensional model of the heat dissipation system to obtain its benchmark heat transfer efficiency data under different wind speeds and wind directions; subsequently, the physical prototype is calibrated in a wind tunnel test environment or on an actual deployment platform, and the coefficient is accurately calculated by measuring the steady-state thermal balance data under known environmental wind field and known equipment power consumption; this process comprehensively considers the effective wind energy component when the wind speed direction is not parallel to the air inlet, as well as the energy loss caused by factors such as air inlet structure and air turbulence; next, the fan module receives the target heat dissipation power of the functional area output by the data processing module, compares it with the equivalent cooling power of natural wind, and calculates the cooling power that the fan needs to actively supplement only when the natural wind cooling capacity is insufficient. If the natural wind has met the heat dissipation requirements, the fan maintains low power standby; finally, the module queries the power-fan power mapping relationship table established in the pre-test (by building a test bench that is completely matched to the actual working conditions of the underwater acoustic signal processor to simulate AFT). The structure and flow resistance characteristics of the heat dissipation channel are designed with corresponding fans and testing equipment. Then, the gradient is divided based on the full power demand range. At each gradient, the corresponding data of cooling power demand and fan operating parameters are collected. The mapping relationship is established by data fitting and a mapping table is generated. The required active cooling power is quickly converted into the specific operating parameters of each fan, driving the corresponding fan to deliver air to the AFT heat dissipation channel at a precise speed, thereby achieving seamless coordinated control of natural cooling and active cooling.

[0082] By precisely quantifying the cooling contribution of natural wind and using it as a pre-supplement to active heat dissipation, the natural wind resources during ship navigation are utilized to the maximum extent, significantly reducing the active power consumption of the fans and effectively improving the energy efficiency and underwater endurance of the underwater acoustic signal processor. Simultaneously, the fan power is only activated or adjusted when natural cooling is insufficient, avoiding the ineffective energy consumption of traditional fans operating at full load continuously. This also reduces equipment wear and noise caused by frequent fan start-stop cycles, extending the fan's lifespan. Furthermore, the independent configuration of "one fan per channel" combined with rapid lookup of the mapping table enables precise airflow allocation for each AFT heat dissipation channel, improving the cooling system's response speed and control accuracy to changes in heat generation, and ensuring stable operation of the underwater acoustic signal processor under dynamic loads.

[0083] In one embodiment, it also includes:

[0084] The AFT performance evaluation module is used to determine the heat dissipation capacity of the AFT heat dissipation channel and the corresponding functional area of ​​the fan. Specifically, it performs the following operations:

[0085] Acquire gas flow data, dynamic power consumption of functional areas, and fan aging status of the AFT heat dissipation channel;

[0086] The actual heat exchange efficiency and flow resistance coefficient change rate of the AFT heat dissipation channel are calculated based on gas flow data and dynamic power consumption of the functional area.

[0087] The actual heat exchange efficiency, the rate of change of flow resistance coefficient, and the degree of fan aging are input into the pre-trained heat dissipation capacity evaluation model to obtain the heat dissipation capacity index corresponding to the AFT heat dissipation channel and the fan.

[0088] Determine if the heat dissipation capacity index is greater than the preset value; if not, issue an alarm and send a message to management indicating insufficient heat dissipation capacity.

[0089] The rate of change of flow resistance coefficient is calculated based on gas flow data, as shown below:

[0090]

[0091] In the formula, This represents the rate of change of the flow resistance coefficient. Indicates the initial flow resistance coefficient. This indicates the pressure difference between the air inlet and outlet of the AFT cooling channel. This indicates the airflow of the AFT cooling channel. It is a flow state index.

[0092] The actual heat exchange efficiency of the AFT heat dissipation channel is calculated based on gas flow data and the dynamic power consumption of the functional area, as shown below:

[0093]

[0094] In the formula, This indicates the actual heat exchange efficiency. This indicates the specific heat capacity of the cold air in the AFT cooling system. This indicates the airflow velocity in the AFT cooling system. Indicates the heat exchange area. This indicates the exhaust temperature of the AFT cooling channel. This indicates the inlet temperature of the AFT cooling channel.

[0095] The working principle and beneficial effects of the above technical solution are as follows: First, the module continuously collects gas flow data (including pressure difference between the channel inlet and outlet, air volume, etc.), dynamic power consumption data of the corresponding functional areas, and fan operation data (such as cumulative running time, speed fluctuation range, historical fault records, etc.) within the AFT heat dissipation channel. Then, based on the fan operation data, the module determines the aging degree of the fan (determining the aging degree of the fan based on its operation data is existing technology and will not be elaborated further here). Next, based on the gas flow data, the module compares the current flow resistance performance of the channel with the initial design state, calculates the rate of change of the flow resistance coefficient, and thus reflects whether the airflow resistance has increased due to dust accumulation, structural deformation, etc. Simultaneously, combined with the dynamic power consumption of the functional areas, the module calculates the actual heat exchange efficiency of the channel, reflecting the effectiveness of heat exchange by measuring the actual effect of cold air carrying away heat within the channel. Finally, the module inputs the calculated actual heat exchange efficiency, the rate of change of the flow resistance coefficient, and the fan aging degree—the three key indicators—into a pre-trained heat dissipation capacity evaluation model. The model integrates these three input dimensions and outputs a quantified heat dissipation capacity index, representing the overall heat dissipation capacity of the current AFT heat dissipation channel and fan combination for the corresponding functional area. Finally, the module compares this heat dissipation capacity index with a preset safety threshold. If the index is below the threshold, it indicates that the current heat dissipation capacity cannot meet the heat requirements of the functional area. The module will immediately trigger an alarm and send a notification of insufficient heat dissipation capacity to the equipment management system so that maintenance personnel can promptly investigate and address the issue. It is worth noting that when calculating the rate of change of flow resistance coefficient, flow state-related indices are considered. The following benchmark calibration steps were used to determine the pressure drop of the AFT heat dissipation channel: The channel was kept clean and unobstructed; the inlet airflow was adjusted on a wind tunnel test bench to obtain the channel pressure drop under at least five different stable airflow conditions; the data were then subjected to linear regression analysis in a logarithmic coordinate system, and the slope of the resulting regression line was taken as the exponent of the channel. ;

[0096] The training process for the heat dissipation capacity assessment model is as follows: First, historical operating data of the underwater acoustic signal processor under different operating conditions is collected, including gas flow data of the AFT heat dissipation channel, dynamic power consumption of the functional area, and fan aging data. Simultaneously, the corresponding heat dissipation effects (such as functional area temperature stability and overheat alarm records) and manually labeled heat dissipation capacity levels are recorded. The data is cleaned to remove outliers, and then the features of different dimensions (such as the rate of change of flow resistance coefficient, heat transfer efficiency, and aging degree) are normalized to obtain training data. Then, a model structure suitable for multi-input assessment scenarios is selected, such as Gradient Boosting Decision Tree (GBDT) or Lightweight Multilayer Perceptron (MLP). Actual heat transfer efficiency, the rate of change of flow resistance coefficient, and fan aging degree are used as input features, and manually labeled heat dissipation capacity index (or labels indicating whether heat dissipation failure has occurred) is used as the output target. The model is trained using the training set data, and the error between the predicted value and the true label is minimized by iteratively adjusting the parameters until training is complete, resulting in a trained heat dissipation capacity assessment model.

[0097] By continuously monitoring multi-dimensional operating data and dynamically evaluating heat dissipation capacity, the above technical solutions can detect heat dissipation channel performance degradation and fan aging problems in advance, avoiding equipment overheating due to sudden heat dissipation failures and significantly improving system reliability and safety. At the same time, by combining multiple indicators such as flow resistance changes, heat exchange efficiency and fan aging for comprehensive evaluation, rather than relying solely on temperature monitoring, the actual performance of the heat dissipation system can be more comprehensively reflected, reducing the possibility of misjudgment and making operation and maintenance decisions more accurate.

[0098] Finally, it should be noted that the above preferred 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 through the above preferred embodiments, those skilled in the art should understand that various changes can be made to it in form and detail without departing from the scope defined by the claims of the present invention.

Claims

1. A specification-based design of an integrated heat dissipation system for an underwater acoustic signal processor, characterized in that, include: Multiple AFT heat dissipation channels are located inside the underwater acoustic signal processor; each AFT heat dissipation channel passes through a functional area of ​​the underwater acoustic signal processor. The data acquisition module is used to acquire real-time temperature distribution data of multiple AFT heat dissipation channels; The data processing module is used to determine the corresponding heat dissipation power based on the real-time temperature distribution data of the AFT heat dissipation channel; The fan module is connected to multiple AFT heat dissipation channels and is used to send cold air into the AFT heat dissipation channels according to the heat dissipation power, so that the cold air exchanges heat with the components in the AFT heat dissipation channels and completes the heat dissipation of the functional area. The AFT performance evaluation module is used to determine the heat dissipation capacity of the AFT heat dissipation channel and the corresponding functional area of ​​the fan, and to send an alarm to the administrator when the heat dissipation capacity is too low. The data processing module performs the following operations: Randomly select an AFT heat dissipation channel as the target heat dissipation channel, and obtain the real-time temperature data of the target heat dissipation channel and the dynamic power consumption of the corresponding functional area; The basic heat dissipation power of the functional area is calculated based on real-time temperature data and dynamic power consumption, as shown below: In the formula, This indicates the basic heat dissipation power of the target heat dissipation channel. Indicates the thermal conductivity coefficient. This indicates the real-time temperature data for the functional area. Indicates the ambient temperature of the functional area. Indicates the dynamic power consumption of the functional area. The proportionality coefficient representing the conversion of power consumption into heat loss. Indicates the historical temperature rise inhibition factor; The environmental impact coefficient is calculated based on the real-time task load level, vibration intensity value, and ambient humidity value of the functional area, as shown below: In the formula, Indicates the environmental impact coefficient. , and Correction factors for real-time task load level, vibration intensity value, and ambient humidity value, respectively. This indicates the real-time task load level of the function area. Indicates the vibration intensity value of the functional area. Indicates the ambient humidity value of the functional area. , and These represent the baseline values ​​for real-time task load level, vibration intensity value, and ambient humidity value, respectively. The heat dissipation power of the functional area corresponding to the target heat dissipation channel is determined based on the environmental impact factor and the basic heat dissipation power, as shown below: In the formula, This indicates the heat dissipation power of the functional area corresponding to the target heat dissipation channel. Indicates the preset weighting factor. This indicates the basic heat dissipation power of the functional area at the previous moment. Indicates the power regulation coefficient. This indicates the real-time temperature data of the functional area at the previous moment; Repeat the above steps to calculate the corresponding heat dissipation power of all AFT heat dissipation channels; The fan module includes multiple fans, each fan connected to an AFT cooling channel; it performs the following operations: Obtain the ambient wind speed of the ship; The equivalent cooling power of the environment is calculated based on the ambient wind speed, as shown below: In the formula, Indicates the environmental equivalent cooling power. This represents the wind energy to cooling energy conversion efficiency coefficient at the air inlet. Indicates air density, Indicates the effective area of ​​the air inlet. Indicates ambient wind speed. Indicates the angle between the ambient wind speed and the air inlet; The required cooling power from the fan is determined based on the equivalent environmental cooling power, as shown below: In the formula, This indicates the cooling power required from the fan; Based on the required cooling power provided by the fan and the power-fan power mapping table, the operating power of the fan corresponding to each AFT heat dissipation channel is obtained.

2. The integrated heat dissipation system for a hydroacoustic signal processor based on standard design according to claim 1, characterized in that, The AFT performance evaluation module performs the following operations: Acquire gas flow data, dynamic power consumption of functional areas, and fan aging status of the AFT heat dissipation channel; The actual heat exchange efficiency and flow resistance coefficient change rate of the AFT heat dissipation channel are calculated based on gas flow data and dynamic power consumption of the functional area. The actual heat exchange efficiency, the rate of change of flow resistance coefficient, and the degree of fan aging are input into the pre-trained heat dissipation capacity evaluation model to obtain the heat dissipation capacity index corresponding to the AFT heat dissipation channel and the fan. Determine if the heat dissipation capacity index is greater than the preset value; if not, issue an alarm and send a message to management indicating insufficient heat dissipation capacity.

3. The integrated heat dissipation system for a hydroacoustic signal processor based on a standardized design, as described in claim 2, is characterized in that... The rate of change of flow resistance coefficient was calculated based on the gas flow data, as shown below: In the formula, This represents the rate of change of the flow resistance coefficient. Indicates the initial flow resistance coefficient. This indicates the pressure difference between the air inlet and outlet of the AFT cooling channel. This indicates the airflow of the AFT cooling channel. It is a flow state index.

4. The integrated heat dissipation system for a hydroacoustic signal processor based on a standardized design, as described in claim 2, is characterized in that... The actual heat exchange efficiency of the AFT heat dissipation channel is calculated based on gas flow data and the dynamic power consumption of the functional area, as shown below: In the formula, This indicates the actual heat exchange efficiency. This indicates the specific heat capacity of the cold air in the AFT cooling system. This indicates the airflow velocity in the AFT cooling system. Indicates the heat exchange area. This indicates the exhaust temperature of the AFT cooling channel. This indicates the inlet temperature of the AFT cooling channel.

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