Intelligent heat dissipation management system and heat dissipation method for engineering mechanical equipment

Abstract

The invention relates to the technical field of engineering machinery heat dissipation, in particular to an intelligent heat dissipation management system for engineering machinery equipment and a heat dissipation method. The heat dissipation management system comprises a radiator, a hydraulic heat dissipation module, an electronic heat dissipation module and a temperature sensor; the radiator is connected to an oil return path of the mechanical equipment, the hydraulic heat dissipation module serves as a main heat dissipation module of the radiator, and the electronic heat dissipation module serves as an auxiliary heat dissipation module of the radiator; the temperature sensor is used for detecting the hydraulic oil temperature of the mechanical equipment and controlling the operation state of the hydraulic heat dissipation module, whether the electronic heat dissipation module is operated and the operation state of the electronic heat dissipation module according to the hydraulic oil temperature. Through cooperative control of the main hydraulic drive hydraulic fan and the auxiliary electronic heat dissipation module, dynamic adjustment of the heat dissipation intensity along with oil temperature changes is achieved, the energy efficiency is improved, and stable operation of high-horsepower engineering machinery under complex working conditions is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of heat dissipation of engineering machinery, and in particular to an intelligent heat dissipation management system and a heat dissipation method for engineering machinery equipment. Background Art

[0002] During operation, the hydraulic systems of high-horsepower construction machinery generate varying amounts of heat depending on the operating conditions. For example, in mining and road construction, equipment like bulldozers and excavators require powerful power output, and the continuous operation of their hydraulic systems generates significant amounts of heat. Poor heat dissipation management can lead to high or low oil temperatures in the hydraulic system, as well as imbalances in water and air temperatures. This can negatively impact overall machine efficiency and increase construction costs.

[0003] Currently, common heat dissipation management systems for high-horsepower construction machinery primarily rely on hydraulically driven temperature-controlled fan systems. These typically consist of a fuel tank, fan pump, fan motor, fan, and radiator. Their operating principle is as follows: a temperature sensor monitors the hydraulic oil temperature. When the oil temperature rises, the fan motor speed is adjusted by adjusting the fan pump's displacement, thereby controlling the radiator fan speed and adjusting the cooling intensity. However, this system relies on hydraulic drive, and its heat dissipation capacity is limited by the hydraulic system's output power, making it unable to flexibly cope with large temperature fluctuations.

[0004] Therefore, the technical problems existing in the prior art include:

[0005] When the hydraulic oil temperature rises to a certain level, the existing system lacks effective auxiliary heat dissipation methods, making it difficult to quickly reduce the oil temperature and unable to meet the heat dissipation requirements of high-horsepower machines during high-intensity operation. Furthermore, the existing heat dissipation management system cannot accurately and flexibly adjust to the differences in heat generation of the hydraulic system under different operating conditions, resulting in excessive or insufficient heat dissipation in certain conditions. Summary of the Invention

[0006] In response to the shortcomings of the existing technology, the purpose of the embodiments of the present invention is to provide an intelligent heat dissipation management system for engineering machinery equipment. Through the coordinated control of the main hydraulic drive hydraulic fan and the auxiliary electronic heat dissipation module, dynamic adjustment of the heat dissipation intensity as the oil temperature changes can be achieved, thereby accurately matching the "water, air, and oil" heat dissipation requirements, improving energy efficiency and ensuring the stable operation of high-horsepower engineering machinery under complex working conditions.

[0007] In order to achieve the above objectives, the embodiments of the present invention provide the following technical solutions:

[0008] An intelligent heat dissipation management system for engineering machinery equipment includes: a radiator, a hydraulic heat dissipation module, an electronic heat dissipation module and a temperature sensor; the radiator is connected to the oil return line of the mechanical equipment, the hydraulic heat dissipation module serves as the main heat dissipation module of the radiator, and the electronic heat dissipation module serves as the auxiliary heat dissipation module of the radiator; the temperature sensor is used to detect the hydraulic oil temperature of the mechanical equipment, and controls the operating status of the hydraulic heat dissipation module, whether to operate the electronic heat dissipation module, and the operating status of the electronic heat dissipation module according to the hydraulic oil temperature.

[0009] Optionally, the hydraulic heat dissipation module includes a fan pump, a fan motor and a hydraulic fan, the oil inlet of the fan pump is connected to the oil tank, the oil outlet is connected to the oil inlet of the fan motor, the oil outlet of the fan motor is connected to the oil tank, and the hydraulic fan is installed on the fan motor and faces the radiator to dissipate heat from the radiator.

[0010] Optionally, the electronic heat dissipation module includes an electronic fan, which is directed toward the radiator to dissipate heat from the radiator.

[0011] An embodiment of the present invention also provides a heat dissipation method for the intelligent heat dissipation management system of engineering machinery equipment as described above, comprising the following steps: real-time monitoring of the hydraulic oil temperature; when the hydraulic oil temperature is lower than a first set temperature, dissipating heat to the radiator through a hydraulic heat dissipation module; when the hydraulic oil temperature reaches or exceeds the first set temperature, dissipating heat to the radiator through a hydraulic heat dissipation module and an electronic heat dissipation module.

[0012] Optionally, when the hydraulic oil temperature is lower than a first set temperature, the hydraulic fan speed is adjusted by adjusting the fan pump displacement; when the hydraulic oil temperature reaches or exceeds the first set temperature and does not exceed the second set temperature, the fan pump operates at maximum displacement and linearly adjusts the speed of the electronic fan according to the difference between the hydraulic oil temperature between the first set temperature and the second set temperature; when the hydraulic oil temperature exceeds the second set temperature, the fan pump operates at maximum displacement and the electronic fan operates at maximum speed.

[0013] Optionally, real-time data of engine load, hydraulic system pressure, ambient temperature and engine speed are collected; the real-time data are normalized and input into a prediction model to predict the hydraulic oil temperature change trend within a set time period in the future; and the fan pump displacement and the speed of the electronic fan are adjusted in advance based on the predicted hydraulic oil temperature change trend.

[0014] Optionally, the prediction model is constructed by a weighted linear regression algorithm, and the weight coefficients of the engine load, hydraulic system pressure, ambient temperature and engine speed in the weighted linear regression algorithm are obtained based on historical data training.

[0015] Optionally, the weight coefficient is dynamically adjusted according to the current working conditions, including: when the engine load exceeds a preset load threshold, increasing the weight coefficient of the engine load and the hydraulic system pressure; when the ambient temperature exceeds a preset ambient temperature threshold, increasing the weight coefficient of the ambient temperature.

[0016] Optionally, the actual hydraulic oil temperature is compared with the predicted value at every set period; if the error between the actual hydraulic oil temperature and the predicted value exceeds a preset threshold, the parameter update of the prediction model is triggered to adjust the weight coefficient of the prediction model.

[0017] Optionally, when the hydraulic oil temperature reaches or exceeds the first set temperature and does not exceed the second set temperature, the speed of the electronic fan increases linearly from the initial speed to an intermediate speed; the initial speed is 40% of the maximum speed of the electronic fan, and the intermediate speed is 75% of the maximum speed of the electronic fan.

[0018] One or more technical solutions provided in the embodiments of the present invention have at least the following technical effects or advantages:

[0019] This heat dissipation management system includes a radiator, a hydraulic heat dissipation module, an electronic heat dissipation module, and a temperature sensor. The radiator is integrated into the return oil line of the mechanical equipment and is used to exchange heat for the hydraulic oil. The hydraulic heat dissipation module serves as the main heat dissipation module, providing basic heat dissipation capacity for the radiator through hydraulic drive. The electronic heat dissipation module serves as an auxiliary module, enhancing heat dissipation efficiency under high temperature or high load conditions. The temperature sensor detects the hydraulic oil temperature in real time and controls the operating mode of the hydraulic heat dissipation module and the start and stop and speed adjustment of the electronic heat dissipation module through logical judgment. By adopting a hydraulic-electric dual-drive intelligent heat dissipation method that combines the main hydraulic drive system with the auxiliary electronic heat dissipation module, and applying a new flexible control management strategy, the "water, air, and oil" heat dissipation requirements are precisely controlled, achieving energy-saving, efficient, and precisely controlled heat dissipation effects, thereby improving the operating efficiency and reliability of high-horsepower engineering machinery under various working conditions.

[0020] Additional advantages of the present invention will be given in the description which follows, and in part will be obvious from the description which follows, or may be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] To more clearly illustrate the embodiments of this application or the technical solutions in the prior art, the following briefly introduces the drawings required for the embodiments or the description of the prior art. Obviously, the drawings described below are only some of the embodiments described in this application. For those skilled in the art, other drawings can be derived from these drawings without inventive effort. In addition, the spacing or size between components is exaggerated to show the position of each component, and the schematic diagrams are for illustrative purposes only.

[0022] Figure 1 This is a schematic diagram of a heat dissipation management system provided in Example 1 of the present invention;

[0023] Figure 2 This is a schematic diagram of a heat dissipation control strategy provided by Example 2 of the present invention;

[0024] In the figure: 1. Fuel tank; 2. Fan pump; 3. Fan motor; 4. Hydraulic fan; 5. Radiator; 6. Temperature sensor; 7. Electronic cooling module; DETAILED DESCRIPTION

[0025] It should be noted that the following detailed description is illustrative and is intended to further illustrate the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, they indicate the presence of features, steps, operations, devices, components and / or combinations thereof.

[0026] Example 1

[0027] like Figure 1 As shown, this embodiment provides an intelligent heat dissipation management system for construction machinery. The heat dissipation management system includes a radiator 5, a hydraulic heat dissipation module, an electronic heat dissipation module 7, and a temperature sensor 6. The radiator 5 is connected to the oil return line of the machinery, the hydraulic heat dissipation module serves as the main heat dissipation module of the radiator 5, and the electronic heat dissipation module 7 serves as an auxiliary heat dissipation module of the radiator 5. The temperature sensor 6 is used to detect the hydraulic oil temperature of the machinery and, based on the hydraulic oil temperature, controls the operating status of the hydraulic heat dissipation module, whether to operate the electronic heat dissipation module 7, and the operating status of the electronic heat dissipation module 7.

[0028] The system primarily consists of a radiator 5, a hydraulic cooling module, an electronic cooling module 7, and a temperature sensor 6. Radiator 5 is connected to the machinery's oil return line. This is because during operation, the hydraulic oil in the return line carries a significant amount of heat, which needs to be dissipated through radiator 5. The hydraulic cooling module, as the primary cooling module, undertakes the primary heat dissipation task, while the electronic cooling module 7 serves as an auxiliary cooling module, providing additional heat dissipation support when the hydraulic cooling module is insufficient.

[0029] Temperature sensor 6 plays a key role in the system, detecting the hydraulic oil temperature of the mechanical equipment in real time. Based on the detected hydraulic oil temperature, the control system can precisely control the operating status of the hydraulic cooling module, for example, by adjusting the displacement of fan pump 2 to change the speed of hydraulic fan 4. Simultaneously, the signal from temperature sensor 6 also determines whether to activate electronic cooling module 7 and the operating status of electronic cooling module 7, such as adjusting the speed of the electronic fan. This design, which adjusts the operating status of the cooling module in real time based on temperature, enables the entire cooling system to flexibly adapt to different operating conditions and cooling requirements, ensuring effective cooling while avoiding unnecessary energy waste.

[0030] The hydraulic heat dissipation module includes a fan pump 2, a fan motor 3 and a hydraulic fan 4. The oil circuit inlet of the fan pump 2 is connected to the oil tank 1, and the oil circuit outlet is connected to the oil circuit inlet of the fan motor 3. The oil circuit outlet of the fan motor 3 is connected to the oil tank 1. The hydraulic fan 4 is installed on the fan motor 3 and faces the radiator 5 for dissipating heat to the radiator 5.

[0031] The oil inlet of fan pump 2 is connected to oil tank 1, and the oil outlet is connected to the oil inlet of fan motor 3. The oil outlet of fan motor 3 is in turn connected to oil tank 1, forming a complete hydraulic circuit. When fan pump 2 is operating, it draws hydraulic oil from oil tank 1, pressurizes it, and delivers it to fan motor 3. Driven by the hydraulic oil, fan motor 3 rotates, driving the hydraulic fan 4 mounted on it. Hydraulic fan 4 is directed toward radiator 5, and its rotation generates airflow that dissipates heat from radiator 5, thereby dissipating the heat in the hydraulic oil into the surrounding environment.

[0032] This hydraulically driven cooling method offers significant cooling capacity and stability, effectively meeting the cooling needs of engineering machinery under normal operating conditions. Furthermore, by adjusting the displacement of fan pump 2, the speed of hydraulic fan 4 can be flexibly controlled, enabling precise adjustment of the cooling intensity. For example, when the hydraulic oil temperature is low, the displacement of fan pump 2 and the speed of hydraulic fan 4 can be reduced to save energy. When the hydraulic oil temperature rises, the displacement of fan pump 2 can be increased, increasing the speed of hydraulic fan 4 and enhancing the cooling effect. This design fully leverages the power and control advantages of the hydraulic system, ensuring efficient operation of the main cooling module.

[0033] The electronic heat dissipation module 7 includes an electronic fan, which is directed toward the radiator 5 to dissipate heat from the radiator 5 .

[0034] Unlike the hydraulic cooling module, the electronic fan is directly driven by a motor, making speed adjustment more flexible and rapid. When the hydraulic cooling module's cooling capacity is insufficient to meet current operating requirements, the electronic cooling module 7 activates, and the electronic fan begins operating, providing additional cooling airflow to the radiator 5.

[0035] The electronic fan provides the entire cooling system with greater adaptability and reliability. In exceptional circumstances, such as a hydraulic system failure or a sudden rise in hydraulic oil temperature, the electronic cooling module 7 can promptly replenish cooling capacity, preventing damage to the equipment caused by excessive hydraulic oil temperature. Furthermore, the electronic fan can precisely adjust its speed based on actual cooling needs, working in conjunction with the hydraulic cooling module to achieve optimal cooling and energy efficiency.

[0036] Example 2

[0037] This embodiment proposes a heat dissipation method based on the intelligent heat dissipation management system for engineering machinery equipment described in Example 1, such as Figure 2 As shown, the following steps are included:

[0038] Monitor the hydraulic oil temperature in real time; when the hydraulic oil temperature is lower than the first set temperature, the radiator is cooled by the hydraulic cooling module; when the hydraulic oil temperature reaches or exceeds the first set temperature, the radiator is cooled by the hydraulic cooling module and the electronic cooling module.

[0039] This method first obtains information about the current cooling system's operating status by monitoring the hydraulic oil temperature in real time. When the hydraulic oil temperature is below a first set temperature, A, the cooling demand is relatively low, and the hydraulic cooling module primarily handles the cooling task. The hydraulic cooling module controls the hydraulic fan speed by adjusting the fan pump's displacement to maintain a stable hydraulic oil temperature.

[0040] When the hydraulic oil temperature reaches or exceeds the first set temperature, indicating an increased need for heat dissipation, the electronic heat dissipation module, in addition to the hydraulic heat dissipation module, also activates and participates in the heat dissipation process. The addition of the electronic heat dissipation module rapidly enhances the cooling capacity of the cooling system, preventing further increases in the hydraulic oil temperature. The synergistic effect of the hydraulic and electronic heat dissipation modules effectively addresses heat dissipation requirements across different temperature ranges, ensuring stable operation and effective heat dissipation of construction machinery under various operating conditions.

[0041] Furthermore, when the hydraulic oil temperature is lower than the first set temperature, the hydraulic fan speed is adjusted by adjusting the fan pump displacement; when the hydraulic oil temperature reaches or exceeds the first set temperature and does not exceed the second set temperature B, the fan pump operates at maximum displacement and linearly adjusts the speed of the electronic fan according to the difference between the hydraulic oil temperature between the first set temperature and the second set temperature; when the hydraulic oil temperature exceeds the second set temperature, the fan pump operates at maximum displacement and the electronic fan operates at maximum speed.

[0042] When the hydraulic oil temperature falls below the first set point, the cooling system primarily relies on the hydraulic cooling module for heat dissipation. At this point, the hydraulic fan speed is precisely controlled by adjusting the fan pump's displacement to achieve a balance between energy conservation and heat dissipation. Displacement adjustment is achieved through the hydraulic control system. Based on the hydraulic oil temperature signal fed back by the temperature sensor, the control system calculates and outputs the corresponding control signal in real time, adjusting the fan pump's displacement and, in turn, the hydraulic fan's speed.

[0043] When the hydraulic oil temperature reaches or exceeds the first set temperature and does not exceed the second set temperature, the hydraulic cooling module's fan pump operates at maximum displacement, ensuring the hydraulic fan provides maximum cooling airflow. Simultaneously, the electronic cooling module's electronic fan also begins operating, linearly adjusting its speed based on the difference between the first and second hydraulic oil set temperatures. This linear adjustment method precisely matches the electronic fan's speed to the cooling requirements, avoiding the impact and energy waste caused by sudden speed changes.

[0044] When the hydraulic oil temperature exceeds the second set temperature, it means that the heat dissipation demand is very urgent. At this time, the fan pump continues to run at the maximum displacement and the electronic fan also runs at the maximum speed, jointly providing the radiator with the strongest heat dissipation capacity, quickly reducing the hydraulic oil temperature, and ensuring the normal operation of the construction machinery equipment and the performance of the hydraulic system.

[0045] In addition, when construction machinery is subjected to sudden high-load conditions (such as a bulldozer encountering hard rock formations), the heat generated by the hydraulic system increases dramatically. If only relying on the feedback control of a single oil temperature sensor, there will be a response lag problem, which makes it difficult to cope with the instantaneous heat dissipation needs under sudden high-load conditions.

[0046] Based on this, in addition to real-time monitoring of hydraulic oil temperature, real-time data on engine load, hydraulic system pressure, ambient temperature, and engine speed is also collected. By integrating multiple sources of data, such as engine load, hydraulic system pressure, and ambient temperature, with a predictive algorithm, cooling requirements can be predicted in advance and fan speed can be dynamically adjusted.

[0047] Real-time data on engine load, hydraulic system pressure, ambient temperature, and engine speed are collected. These data can fully reflect the operating status and working environment of the construction machinery equipment, providing a rich source of information for accurately predicting heat dissipation needs. The real-time data is normalized and input into the prediction model to predict the hydraulic oil temperature change trend within a set time period in the future. Based on the predicted hydraulic oil temperature change trend, the fan pump displacement and electronic fan speed are adjusted in advance.

[0048] Normalization of collected real-time data is performed to eliminate dimensional differences and numerical ranges between different parameters, mapping them to a common numerical range, typically [0, 1]. This makes different parameters comparable and additive in the prediction model, improving the accuracy and stability of the prediction model.

[0049] By inputting the normalized data into a predictive model, we can predict hydraulic oil temperature trends over a set time period. The predictive model, built based on historical data and a specific algorithm, analyzes and calculates the input data to determine the likely future hydraulic oil temperature changes. Based on these predictions, the cooling system can proactively adjust the fan pump displacement and electronic fan speed, preparing the cooling system to meet future cooling needs more promptly and effectively. This predictive cooling control approach can better address changes in cooling demand caused by sudden high-load conditions or environmental changes, improving the proactiveness and adaptability of the cooling system.

[0050] The prediction model is constructed by a weighted linear regression algorithm, in which weight coefficients of engine load, hydraulic system pressure, ambient temperature and engine speed are obtained based on historical data training.

[0051] The prediction model is constructed using a weighted linear regression algorithm. Its input parameters include normalized values of engine load, hydraulic system pressure, ambient temperature, and engine speed. Weight coefficients for each parameter are obtained through historical data training, for example, by fitting the correlation between actual oil temperature and each parameter using the least squares method. The weight coefficients reflect the contribution of different parameters to oil temperature fluctuations. For example, engine load and hydraulic system pressure have a greater direct impact on temperature rise under high-load conditions. This algorithm simplifies model complexity while ensuring prediction accuracy.

[0052] Dynamically adjusting the weight coefficient according to the current working condition includes: when the engine load exceeds a preset load threshold, increasing the weight coefficient of the engine load and the hydraulic system pressure; when the ambient temperature exceeds a preset ambient temperature threshold, increasing the weight coefficient of the ambient temperature.

[0053] The weight coefficients are dynamically adjusted based on the current operating conditions. When the engine load exceeds a preset threshold (e.g., 80%), the system increases the weight coefficients for engine load and hydraulic system pressure to strengthen their influence on the prediction results. When the ambient temperature exceeds a preset threshold (e.g., 35°C), the weight coefficient for ambient temperature is increased accordingly to reflect the inhibitory effect of high temperatures on heat dissipation efficiency. This dynamic adjustment mechanism enables the prediction model to adapt to different operating conditions and environmental conditions, improving the model's generalization and prediction accuracy.

[0054] The actual hydraulic oil temperature is compared with the predicted value at every set period; if the error between the actual hydraulic oil temperature and the predicted value exceeds a preset threshold, the parameter update of the prediction model is triggered to adjust the weight coefficient of the prediction model.

[0055] The system compares the actual hydraulic oil temperature with the predicted value at set intervals (e.g., 30 seconds). If the error exceeds a preset threshold (e.g., ±3°C), an online parameter update of the prediction model is triggered. During this update, the weight coefficients are adjusted based on the current error value and a learning rate (e.g., 0.01) to correct model deviations. This real-time feedback correction mechanism prevents long-term prediction failures caused by environmental changes or equipment aging, ensuring continuous system optimization.

[0056] When the hydraulic oil temperature reaches or exceeds the first set temperature and does not exceed the second set temperature, the speed of the electronic fan increases linearly from the initial speed to the intermediate speed; the initial speed is 40% of the maximum speed of the electronic fan, and the intermediate speed is 75% of the maximum speed of the electronic fan.

[0057] When the hydraulic oil temperature is between the first and second set temperature ranges, the electronic fan speed increases linearly from the initial speed (40% of maximum speed) to the intermediate speed (75% of maximum speed). The slope of the linear adjustment is determined by the temperature difference: (current temperature - first set temperature) / (second set temperature - first set temperature) × (intermediate speed - initial speed). This design ensures that the electronic fan speed is strictly matched to the cooling requirements, avoiding inefficient operation and preventing energy waste caused by excessively high speeds.

[0058] Specifically:

[0059] Installation location of detection components and data source

[0060] The oil temperature sensor is installed inside the hydraulic oil tank or the main oil pipeline to collect the real-time temperature of the hydraulic oil (°C); the engine load sensor is installed on the engine output shaft or the ECU control module to collect the engine torque / power output ratio (%); the hydraulic pressure sensor is installed at the hydraulic pump outlet or the actuator inlet to collect the real-time working pressure of the hydraulic system (MPa); the ambient temperature sensor is installed at the radiator air inlet or outside the cockpit to collect the working environment temperature (°C); the engine speed sensor is installed on the engine crankshaft or flywheel end to collect the real-time engine speed (rpm); among them, the oil temperature sensor and the ambient temperature sensor are detection elements already in the original system; the engine load, hydraulic pressure and speed sensors are standard configurations for construction machinery and can obtain data directly from the vehicle CAN bus.

[0061] Multi-source data fusion and prediction algorithm design

[0062] (1) Data preprocessing

[0063] Noise filtering: Sliding average filtering (window length 5 seconds) is used on the data of each sensor to eliminate instantaneous interference.

[0064] Normalization: Map each parameter to the interval [0,1], the formula is:

[0065]

[0066] Among them, Xmin and Xmax are the extreme values of the historical data of each parameter.

[0067] (2) Prediction model construction

[0068] Use the weighted linear regression model to predict the oil temperature change trend in the next 2 minutes:

[0069] T predicted (t+Δt)=T current +α·L+β·P+γ·E+δ·N;

[0070] in,

[0071] T predicted (t+Δt): predicted oil temperature (°C) after Δt (e.g., Δt = 2 minutes);

[0072] T current : Current oil temperature (℃);

[0073] L: engine load (normalized value, 0-1 corresponds to 0%-100%);

[0074] P: hydraulic system pressure (normalized value, 0-1 corresponds to 0-40MPa);

[0075] E: ambient temperature (normalized value, 0-1 corresponds to 20℃ to 50℃);

[0076] N: engine speed (normalized value, 0-1 corresponds to 0-2500rpm);

[0077] α, β, γ, δ: weight coefficients, obtained through historical data training (such as least squares fitting).

[0078] (3) Dynamic weight adjustment mechanism

[0079] Dynamically modify the weight coefficient according to the working condition type:

[0080] Heavy load condition (L>80%): Increase the weights of α and β to emphasize the effect of load and pressure on temperature rise;

[0081] High temperature environment (E>35℃): Increase the γ weight to strengthen the inhibitory effect of ambient temperature on heat dissipation efficiency.

[0082] 4. Control Logic Implementation

[0083] (1) Prediction Result Classification and Response Strategy

[0084] When Tpredicted <At A℃, maintain the current hydraulic fan speed and keep the electric fan off;

[0085] When A℃ ≤ T predicted <At B℃, start the electric fan in advance, and the speed is linearly adjusted according to (T predicted -A) / (B - A) × 75%;

[0086] T predicted ≥ B℃, the hydraulic fan runs at full speed and the electric fan starts at full speed.

[0087] (2) Real-time Feedback Correction

[0088] Compare the actual oil temperature with the predicted value every 30 seconds. If the error exceeds ±3℃, trigger the online update of model parameters:

[0089] α new = α old + η·(T actual - T predict )·L;

[0090] Where, a new is the new weight coefficient, a old is the original weight coefficient, η is the learning rate (default 0.01), and only adjust the weight coefficient under the current working condition to avoid global overfitting.

[0091] By introducing multi-source data such as engine load, hydraulic system pressure, and ambient temperature, combined with the prediction algorithm, anticipate the heat dissipation demand in advance, enable the heat dissipation system to respond in advance, reduce temperature fluctuations, and avoid oil temperature spikes under sudden loads; the dynamic weight mechanism enables the system to automatically adapt to different environments and working conditions, and the comprehensive temperature control error is reduced by more than 40%.

[0092] Although the specific implementation manners of the present invention are described above in conjunction with the accompanying drawings, it is not a limitation to the protection scope of the present invention. Those skilled in the art should understand that based on the technical solutions of the present invention, various modifications or deformations that can be made by those skilled in the art without creative efforts are still within the protection scope of the present invention.

Claims

1. An intelligent heat dissipation management system for engineering machinery equipment, characterized in that: include: Radiator, hydraulic cooling module, electronic cooling module and temperature sensor; The radiator is connected to the oil return line of the mechanical equipment, the hydraulic heat dissipation module serves as the main heat dissipation module of the radiator, and the electronic heat dissipation module serves as the auxiliary heat dissipation module of the radiator; The temperature sensor is used to detect the hydraulic oil temperature of the mechanical equipment, and controls the operating state of the hydraulic heat dissipation module, whether to operate the electronic heat dissipation module, and the operating state of the electronic heat dissipation module according to the hydraulic oil temperature.

2. The intelligent heat dissipation management system for engineering machinery equipment according to claim 1, characterized in that: The hydraulic heat dissipation module includes a fan pump, a fan motor and a hydraulic fan. The oil circuit inlet of the fan pump is connected to the oil tank, the oil circuit outlet is connected to the oil circuit inlet of the fan motor, and the oil circuit outlet of the fan motor is connected to the oil tank. The hydraulic fan is installed on the fan motor and faces the radiator to dissipate heat from the radiator.

3. The intelligent heat dissipation management system for engineering machinery equipment according to claim 1, characterized in that: The electronic heat dissipation module includes an electronic fan, which faces the radiator and is used to dissipate heat from the radiator.

4. A heat dissipation method for an intelligent heat dissipation management system for engineering machinery equipment according to any one of claims 1 to 3, characterized in that: The following steps are involved: Real-time monitoring of hydraulic oil temperature; When the hydraulic oil temperature is lower than the first set temperature, the hydraulic heat dissipation module is used to dissipate heat to the radiator; When the temperature of the hydraulic oil reaches or exceeds the first set temperature, the radiator is cooled by the hydraulic cooling module and the electronic cooling module.

5. The heat dissipation method according to claim 4, wherein: When the hydraulic oil temperature is lower than the first set temperature, the hydraulic fan speed is adjusted by adjusting the fan pump displacement; When the hydraulic oil temperature reaches or exceeds a first set temperature and does not exceed a second set temperature, the fan pump operates at a maximum displacement and linearly adjusts the speed of the electronic fan according to the difference between the first set temperature and the second set temperature of the hydraulic oil; When the hydraulic oil temperature exceeds the second set temperature, the fan pump operates at a maximum displacement and the electronic fan operates at a maximum speed.

6. The heat dissipation method according to claim 4, wherein: Also includes: Collect real-time data on engine load, hydraulic system pressure, ambient temperature and engine speed; Normalizing the real-time data and inputting it into a prediction model to predict the hydraulic oil temperature change trend within a future set time period; According to the predicted hydraulic oil temperature change trend, the fan pump displacement and the electronic fan speed are adjusted in advance.

7. The heat dissipation method according to claim 6, wherein: The prediction model is constructed by a weighted linear regression algorithm, in which weight coefficients of engine load, hydraulic system pressure, ambient temperature and engine speed are obtained based on historical data training.

8. The heat dissipation method according to claim 7, wherein: Dynamically adjusting the weight coefficient according to the current working conditions includes: When the engine load exceeds a preset load threshold, the weight coefficients of the engine load and the hydraulic system pressure are increased; When the ambient temperature exceeds a preset ambient temperature threshold, the weight coefficient of the ambient temperature is increased.

9. The heat dissipation method according to claim 8, wherein: Compare the actual hydraulic oil temperature with the predicted value at every set period; If the error between the actual hydraulic oil temperature and the predicted value exceeds a preset threshold, the parameter update of the prediction model is triggered to adjust the weight coefficient of the prediction model.

10. The heat dissipation method according to claim 9, wherein: When the hydraulic oil temperature reaches or exceeds the first set temperature and does not exceed the second set temperature, the speed of the electronic fan increases linearly from the initial speed to the intermediate speed; the initial speed is 40% of the maximum speed of the electronic fan, and the intermediate speed is 75% of the maximum speed of the electronic fan.

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