Servo energy-saving pushing system and control method
The servo energy-saving drive system, composed of servo power modules and intelligent liquid cooling modules, solves the problem of poor heat dissipation of servo systems under high loads, achieves efficient energy-saving heat dissipation, extends equipment life and improves system reliability, and supports remote management.
Patent Information
- Application Number
- CN202511610497.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-05
- Publication Date
- 2026-01-30
AI Technical Summary
Existing servo systems suffer from poor heat dissipation under high load or continuous operation, low energy efficiency, and lack of intelligent management, leading to equipment failures and high maintenance costs.
It employs a servo power supply module, an intelligent liquid cooling module, a liquid cooling data acquisition module, a data processing module, a heat dissipation strategy generation module, an alarm module, and a cloud data server to achieve precise heat dissipation through intelligent management and dynamic adjustment of heat dissipation paths and flow rates.
It improves heat dissipation efficiency, reduces energy consumption, extends equipment life, enhances system reliability, supports remote monitoring and management, and promotes the intelligent upgrading of the system.
Smart Images
Figure CN121433045A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power control, specifically a servo energy-saving propulsion system and control method. Background Technology
[0002] With the continuous improvement of industrial automation, servo systems are increasingly widely used in manufacturing, robotics, and automated equipment. As a key component for precisely controlling position, speed, and acceleration, the performance of servo systems directly affects the efficiency of production lines and product quality. However, servo systems generate a large amount of heat during prolonged high-load operation. If heat cannot be dissipated effectively and in a timely manner, it will not only reduce system performance but may also cause equipment failure, shorten equipment lifespan, or even cause production interruptions.
[0003] Traditional servo systems typically employ air cooling or natural cooling. While these methods are adequate for low or medium load conditions, their effectiveness is limited and energy consumption is high under high loads or continuous operation. Air cooling also easily introduces dust, affecting the cleanliness of the internal components and increasing maintenance costs. Furthermore, traditional cooling methods lack intelligent adjustment mechanisms, failing to dynamically adjust the cooling strategy based on the actual operating status of the servo system, resulting in low energy efficiency.
[0004] Liquid cooling technology, due to its efficient and uniform heat dissipation performance, is gradually becoming the preferred solution for heat dissipation in high-performance servo systems. Liquid cooling systems directly absorb and remove heat through circulating coolant, offering higher heat transfer efficiency and lower noise levels compared to air cooling. However, most existing liquid cooling systems are simply designed and lack intelligent management and control mechanisms. They cannot dynamically adjust the liquid cooling path and flow rate based on parameters such as the actual workload of the servo power supply, ambient temperature, and coolant condition, resulting in low heat dissipation efficiency and significant energy waste. Summary of the Invention
[0005] The purpose of this invention is to overcome the shortcomings of the prior art and provide a servo energy-saving drive system, including a servo power supply module, an intelligent liquid cooling module, a liquid cooling data acquisition module, a data processing module, a heat dissipation strategy generation module, an alarm module, a communication module, and a cloud data server. The servo power module, intelligent liquid cooling module, data acquisition module, heat dissipation strategy generation module, alarm module, and communication module are all connected to the data processing module; the cloud data server is connected to the communication module. The servo power module includes multiple servo power supplies, which are used to power various servo devices. The intelligent liquid cooling module is used to dissipate heat from the servo power module according to a heat dissipation strategy. The liquid cooling data collection module is used for collecting heat dissipation data and energy consumption data. The heat dissipation strategy generation module is used for generating a heat dissipation strategy according to the heat dissipation data and the energy consumption data. The alarm device is used for sending alarm information. The cloud data server is used for providing cloud data services.
[0006] Preferably, the heat dissipation strategy generation module is used for generating a heat dissipation strategy according to the heat dissipation data and the energy consumption data, including: The liquid cooling data collection module collects working parameters of each servo power supply module and cooling liquid state information, and transmits the working parameters of each servo power supply module and the cooling liquid state information to the heat dissipation strategy generation module. The heat dissipation strategy generation module generates a candidate heat dissipation path according to the working parameters of each servo power supply module and the cooling liquid state, and generates a heat dissipation path recommendation list. The intelligent liquid cooling module selects an optimal or user-confirmed heat dissipation path according to the heat dissipation path recommendation list, obtains a selected heat dissipation path, and adjusts the corresponding valve according to the selected heat dissipation path to adjust the liquid cooling path to the heat dissipation path.
[0007] Preferably, the liquid cooling data collection module collects working parameters of each servo power supply module and cooling liquid state information, including: The working parameters of the servo power supply module include PSU power supply power, and the cooling liquid state information includes cooling liquid temperature data and cooling liquid flow rate.
[0008] Preferably, the heat dissipation strategy generation module generates a candidate heat dissipation path according to the working parameters of each servo power supply module and the cooling liquid state, and generates a heat dissipation path recommendation list, including: According to the power size of each servo power supply module, a servo power supply module sequence is obtained, a heat dissipation mode is obtained according to the power of each servo power supply module, if it is a single path heat dissipation, different heat dissipation paths are generated according to the shortest principle of the heat dissipation path, the servo power supply module sequence on each heat dissipation path is obtained, the similarity of the servo power supply module sequence on each heat dissipation path and the servo power supply module sequence is obtained respectively, and a heat dissipation path recommendation list is obtained according to the similarity size.
[0009] Preferably, the intelligent liquid cooling module selects an optimal or user-confirmed heat dissipation path according to the heat dissipation path recommendation list, obtains a selected heat dissipation path, and adjusts the corresponding valve according to the selected heat dissipation path to adjust the liquid cooling path to the heat dissipation path, including: According to the selected heat dissipation path, the intelligent liquid cooling module adjusts the heat dissipation path to the selected heat dissipation path, and performs heat dissipation on each servo power supply module.
[0010] Preferably, the shortest heat dissipation path principle is that the path between each servo power supply module is the shortest.
[0011] Preferably, the intelligent liquid cooling module includes an intelligent control module and a cooling module; the cooling module includes a plurality of electronic valves; the plurality of electronic valves are respectively connected with the intelligent control module.
[0012] A servo energy-saving pushing control method applied to the servo energy-saving pushing system.
[0013] The beneficial effects of the present application are: through the cooperative work of the intelligent liquid cooling module and the heat dissipation strategy generation module, the system can dynamically adjust the heat dissipation path and flow rate according to the actual working load of the servo power supply and the cooling liquid state, realize precise heat dissipation, and significantly improve the heat dissipation efficiency.
[0014] Reduce energy consumption: the intelligent heat dissipation management strategy avoids the energy waste in the traditional heat dissipation mode, optimizes the heat dissipation path and flow rate, reduces unnecessary cooling liquid circulation, and reduces the overall energy consumption of the system.
[0015] Prolong the service life of the equipment: effective heat dissipation management reduces the risk of damage of the servo equipment due to overheating, prolongs the service life of the equipment, and reduces the maintenance cost.
[0016] Improve system reliability: through real-time monitoring and alarm mechanism, the system can timely find and handle abnormal conditions, avoid system failure caused by heat dissipation problems, and improve the overall reliability of the system.
[0017] Realize remote monitoring and management: the introduction of the cloud data server realizes the remote monitoring and management of the system, which is convenient for the operator to understand the system state at any time and place, and to perform remote maintenance and optimization.
[0018] Promote intelligent upgrading: the system supports big data analysis and machine learning algorithm, and through deep mining of historical data, the heat dissipation strategy is continuously optimized, which provides the possibility for the intelligent upgrading of the system. BRIEF DESCRIPTION OF DRAWINGS
[0019] Figure 1 It is a principle schematic diagram of a servo energy-saving pushing system; Figure 2 It is a principle schematic diagram of a servo power supply module; Figure 3 It is a principle schematic diagram of an intelligent liquid cooling module. DETAILED DESCRIPTION
[0020] The technical solutions of the present application will be further described in detail below in combination with the drawings, but the protection scope of the present application is not limited to the following description.
[0021] The features and performances of the present application are further described in detail below in combination with embodiments.
[0022] As shown in Figure 1 A servo energy-saving pushing system, comprising a servo power module, an intelligent liquid cooling module, a liquid cooling data acquisition module, a data processing module, a heat dissipation strategy generation module, an alarm module, a communication module, and a cloud data server. The servo power module, the intelligent liquid cooling module, the data acquisition module, the heat dissipation strategy generation module, the alarm module, and the communication module are connected with the data processing module; and the cloud data server is connected with the communication module. As shown in Figure 2 The servo power module comprises a plurality of servo power supplies, which are used to supply power to each servo device. The intelligent liquid cooling module is used to dissipate heat from the servo power module according to the heat dissipation strategy. The liquid cooling data acquisition module is used to acquire heat dissipation data and energy consumption data. The heat dissipation strategy generation module is used to generate a heat dissipation strategy according to the heat dissipation data and the energy consumption data. The alarm device is used to send alarm information. The cloud data server is used to provide cloud data services.
[0023] The heat dissipation strategy generation module is used to generate a heat dissipation strategy according to the heat dissipation data and the energy consumption data, comprising: The liquid cooling data acquisition module collects working parameters of each servo power module and cooling liquid state information, and transmits the working parameters of each servo power module and the cooling liquid state information to the heat dissipation strategy generation module. The heat dissipation strategy generation module generates a candidate heat dissipation path according to the working parameters of each servo power module and the cooling liquid state, and generates a heat dissipation path recommendation list. The intelligent liquid cooling module selects an optimal or user-confirmed heat dissipation path according to the heat dissipation path recommendation list, obtains a selected heat dissipation path, and adjusts the corresponding valve according to the selected heat dissipation path to adjust the liquid cooling path to the heat dissipation path.
[0024] The liquid cooling data acquisition module collects working parameters of each servo power module and cooling liquid state information, comprising: The working parameters of the servo power module include PSU power supply power, and the cooling liquid state information includes cooling liquid temperature data and cooling liquid flow rate.
[0025] The heat dissipation strategy generation module generates a candidate heat dissipation path according to the working parameters of each servo power module and the cooling liquid state, and generates a heat dissipation path recommendation list, comprising: Based on the power of each servo power module, a servo power module sequence is obtained. Based on the sum of the power of each servo power module, a heat dissipation mode is obtained. If it is a single-path heat dissipation, different heat dissipation paths are generated according to the principle of the shortest heat dissipation path, and a servo power module sequence on each heat dissipation path is obtained. The similarity between the servo power module sequence on each heat dissipation path and the servo power module sequence is obtained. Based on the similarity, a recommended list of heat dissipation paths is obtained.
[0026] The intelligent liquid cooling module selects the optimal or user-confirmed heat dissipation path from a recommended heat dissipation path list to obtain the selected heat dissipation path, and adjusts the corresponding valves according to the selected heat dissipation path to adjust the liquid cooling path into the heat dissipation path, including: Based on the selected heat dissipation path, the intelligent liquid cooling module adjusts the heat dissipation path to the selected path to dissipate heat from each servo power module.
[0027] The principle of the shortest heat dissipation path is: the path between each servo power module is the shortest.
[0028] like Figure 3 As shown, the intelligent liquid cooling module includes an intelligent control module and a cooling module; the cooling module includes multiple electronic valves; the multiple electronic valves are respectively connected to the intelligent control module.
[0029] A servo energy-saving drive control method is applied to the aforementioned servo energy-saving drive system.
[0030] Specifically, the servo energy-saving drive system of the present invention is characterized by comprising: Servo power supply module: Includes multiple servo power supplies to provide a stable and reliable power supply for each servo device. The servo power supply is designed with high efficiency and low noise characteristics in mind to meet the operating requirements under different loads.
[0031] Intelligent liquid cooling module: Provides precise cooling for the servo power module according to a heat dissipation strategy. This module includes an intelligent control unit and a cooling module. The cooling module is equipped with multiple electronic valves that can adjust the coolant flow direction and flow rate according to control commands, achieving flexible and efficient heat dissipation path configuration.
[0032] Liquid cooling data acquisition module: Responsible for real-time acquisition of heat dissipation and energy consumption data, including but not limited to the operating parameters of the servo power supply module (such as PSU power) and coolant status information (such as coolant temperature and flow rate). This data is the basis for formulating heat dissipation strategies.
[0033] Data processing module: As the core processing unit of the system, it is connected with the servo power module, intelligent liquid cooling module, data acquisition module, heat dissipation strategy generation module, alarm module and communication module respectively, responsible for data reception, processing and analysis, and instruction issuance.
[0034] Heat dissipation strategy generation module: Based on the data provided by the liquid cooling data acquisition module, the optimal heat dissipation strategy is generated through algorithm analysis. The specific process includes: The liquid cooling data acquisition module collects and transmits the working parameters of the servo power module and the cooling liquid state information to the heat dissipation strategy generation module.
[0035] According to the collected information, the heat dissipation strategy generation module first sorts the servo power according to the power size to obtain the servo power module sequence, and then calculates the total power to determine the heat dissipation mode (such as single path heat dissipation or multi-path heat dissipation). If it is single path heat dissipation, multiple candidate heat dissipation paths are generated according to the shortest path principle, and the similarity of each path with the ideal sequence is calculated to form a heat dissipation path recommendation list.
[0036] The intelligent liquid cooling module automatically selects the optimal path or adjusts the electronic valve according to the user confirmed path based on the heat dissipation path recommendation list, to realize the optimal configuration of the liquid cooling path.
[0037] Alarm module: When the system detects abnormal state (such as high cooling liquid temperature, abnormal flow rate, power over limit, etc.), it sends out alarm information to remind the operator to take timely measures.
[0038] Communication module: Responsible for data transmission between the system and the cloud data server, realizing remote monitoring and management functions.
[0039] Cloud data server: Provides cloud data storage, analysis and services, supports remote access to system status, conducts big data analysis, optimizes heat dissipation strategy, predicts maintenance needs, etc.
[0040] The servo power module is composed of multiple high-efficiency servo power supplies, each of which has overload protection, short circuit protection and over-temperature protection functions to ensure stable operation under various working conditions. The power supply design adopts a modular structure, facilitating maintenance and expansion.
[0041] The core of the intelligent liquid cooling module is the intelligent control unit, which adjusts the flow direction and flow rate of the cooling liquid by controlling the opening and closing of the electronic valve according to the instructions of the data processing module. The electronic valve in the cooling module uses high-precision electromagnetic valves, which have fast response speed and accurate control, and can effectively realize dynamic adjustment of the heat dissipation path.
[0042] The liquid-cooled data acquisition module collects real-time data such as power, cooling liquid temperature, and flow rate through sensors installed in the servo power supply and cooling liquid circulation system. These data are transmitted to the data processing module through data lines, providing a basis for subsequent data analysis and heat dissipation strategy development.
[0043] The data processing module is the "brain" of the system, responsible for receiving data from various modules, preprocessing, analysis, and storage. The module is equipped with high-performance processors and large-capacity storage, capable of quickly processing large amounts of data and extracting valuable information through algorithm models.
[0044] The heat dissipation strategy generation module is the key to the system's intelligence. It generates optimal heat dissipation strategies based on real-time data provided by the data processing module through complex algorithm logic. Specific algorithms include: Power sorting and heat dissipation mode determination: First, sort the power modules according to their real-time power to form a power sequence. Then, determine whether to use single-path or multi-path heat dissipation mode based on total power size.
[0045] Heat dissipation path generation and optimization: In single-path heat dissipation mode, the algorithm generates multiple candidate heat dissipation paths based on the shortest path principle. By calculating the similarity of each path to the ideal sequence (i.e., the sequence arranged from high to low power), the optimal path is selected. In multi-path heat dissipation mode, the algorithm considers factors such as path length and cooling liquid flow distribution to generate the optimal multi-path heat dissipation scheme.
[0046] The alarm module monitors key parameters such as cooling liquid temperature, flow rate, and power supply power. When the parameters exceed the preset range, the alarm mechanism is triggered immediately, sending an alarm message to the operator's mobile device through sound and light alarms or sending an alarm message to the operator's mobile device, ensuring timely response and handling of abnormal situations.
[0047] The communication module uses high-speed and stable communication protocols such as Ethernet, Wi-Fi, or 4G / 5G network to realize bidirectional data transmission between the system and the cloud data server. The module supports data encryption to ensure data transmission security.
[0048] The cloud data server provides powerful data storage, processing, and analysis capabilities, supports remote access to system status, conducts big data analysis, optimizes heat dissipation strategies, and predicts equipment maintenance needs. The server uses a distributed architecture to ensure high availability and scalability.
[0049] Example 1: Application of servo energy-saving driving system in single-path heat dissipation mode This embodiment is aimed at a cluster of servo devices on a medium-sized automated production line, and the servo energy-saving pushing system of the present application is deployed. The system needs to cope with the challenges of large load changes of servo devices and uneven heat dissipation needs in different production stages of the production line, and realizes efficient and energy-saving heat dissipation management through intelligent liquid cooling technology.
[0050] (1) Servo power module Ten high-performance servo power supplies are deployed, each with a rated power of 5kW, with overload protection, short circuit protection and over-temperature protection functions. The power module adopts a drawer design, which is convenient for quick replacement and maintenance.
[0051] (2) Intelligent liquid cooling module The intelligent control unit uses a high-performance PLC that can quickly respond to instructions from the data processing module. Twelve high-precision solenoid valves are installed in the cooling module, each controlling a section of the cooling pipeline to achieve precise control of the flow direction of the cooling liquid. The cooling liquid is an environmentally friendly water-based coolant with good heat conduction performance and stability.
[0052] (3) Liquid cooling data acquisition module Temperature sensors, flow rate sensors and power meters are installed in the servo power supply and cooling liquid circulation system to collect real-time power, cooling liquid temperature and flow rate. The data is transmitted to the data processing module through the CAN bus to ensure the stability and real-time performance of data transmission.
[0053] (4) Data processing module An industrial-grade computer is used as the core of the data processing module, with a dual-core processor and 8GB of memory built-in to meet the needs of big data processing. The module runs a custom heat dissipation management software that is responsible for data reception, processing, analysis and storage.
[0054] (5) Heat dissipation strategy generation module Based on the data provided by the liquid cooling data acquisition module, the software first sorts all servo power supplies by power size to form a power sequence. After calculating the total power, it determines that the current is a single-path cooling mode. Based on the shortest cooling path principle, five candidate cooling paths are generated, and the similarity of each path to the ideal sequence is calculated. The path with the highest similarity is selected as the optimal cooling path and sent to the intelligent liquid cooling module.
[0055] (6) Intelligent liquid cooling module executes cooling strategy The intelligent control unit receives the optimal cooling path instruction, adjusts the cooling liquid flow direction by controlling the opening and closing of the solenoid valve, and realizes the optimal configuration of the liquid cooling path. Real-time monitoring of cooling liquid temperature and flow rate ensures the cooling effect.
[0056] (7) Alarm module The upper limit of the cooling liquid temperature is set to 40℃, the lower limit of the flow rate is set to 1L / min, and the upper limit of the power of the power supply is set to 120% of the rated power. When any parameter is monitored to be out of the preset range, an audible and visual alarm is triggered immediately, and an alarm message is sent to the mobile phone of the operator.
[0057] (8) Communication module The Ethernet communication protocol is adopted to realize the bidirectional transmission of data between the system and the cloud data server. SSL encryption is enabled during data transmission to ensure data security.
[0058] (9) Cloud data server The server is deployed on the Ali Cloud, providing data storage, processing, and analysis services. It supports remote access to system status, conducts big data analysis, optimizes heat dissipation strategies, and predicts equipment maintenance needs.
[0059] Example Two: Application of Servo Energy-saving Push System in Multi-path Heat Dissipation Mode This example is aimed at a cluster of servo devices in a large data center, where the servo energy-saving push system of the present application is deployed. The data center has a large number of servo devices with uneven load distribution, and has strict requirements on heat dissipation efficiency and energy consumption. The system needs to realize efficient and energy-saving heat dissipation management through multi-path heat dissipation mode.
[0060] (1) Servo power supply module 50 high-efficiency servo power supplies are deployed, each with a rated power of 10kW and equipped with overload protection, short-circuit protection, and over-temperature protection functions. The power supply module adopts a cabinet design for easy centralized management and maintenance.
[0061] (2) Intelligent liquid cooling module The intelligent control unit adopts an industrial control computer with powerful data processing and control capabilities. 30 high-precision solenoid valves are installed in the cooling module, each controlling a section of the cooling pipeline to realize precise control of the flow direction and flow rate of the cooling liquid. The cooling liquid is fluorinated liquid with high thermal conductivity to ensure good heat dissipation effect.
[0062] (3) Liquid cooling data acquisition module High-precision sensors are installed in the servo power supply and cooling liquid circulation system to collect key parameters such as power supply power, cooling liquid temperature, flow rate, and pressure in real time. The data is transmitted to the data processing module through optical fiber to ensure high speed and stability of data transmission.
[0063] (4) Data processing module A high-performance server is used as the core of the data processing module, with a quad-core processor and 16GB of memory built-in to meet large-scale data processing needs. The module runs a customized heat dissipation management system that is responsible for data reception, processing, analysis, and storage.
[0064] (5) Heat dissipation strategy generation module The software first sorts all the servo power supplies by power size based on the data provided by the liquid cooling data acquisition module, forming a power sequence. After calculating the total power, it determines the current multi-path heat dissipation mode. Considering factors such as path length and coolant flow distribution, it generates three optimal multi-path heat dissipation schemes. Through algorithm evaluation, it selects the optimal scheme and sends it to the intelligent liquid cooling module.
[0065] (6) Intelligent liquid cooling module executes heat dissipation strategy The intelligent control unit receives the optimal heat dissipation scheme instructions, controls the opening and closing of the electromagnetic valve, and adjusts the coolant flow to achieve the optimal configuration of multi-path heat dissipation. It monitors the coolant temperature, flow rate, and pressure in real time to ensure the stable operation of the heat dissipation system.
[0066] (7) Alarm module Set the upper limit of the coolant temperature to 35℃, the lower limit of the flow rate to 2L / min, and the upper limit of the power supply power to 110% of the rated power. When any parameter exceeds the preset range, trigger the audible and visual alarm immediately and send the alarm information to the monitoring center of the data center.
[0067] (8) Communication module Use 4G / 5G network communication protocol to realize bidirectional data transmission between the system and the cloud data server. Enable AES encryption during data transmission to ensure data security.
[0068] (9) Cloud data server The server is deployed on Tencent Cloud, providing powerful data storage, processing, and analysis capabilities. It supports remote access to system status, big data analysis, optimization of heat dissipation strategy, and prediction of equipment maintenance needs. It provides API interfaces for easy integration with other data center management systems.
Claims
1. A servo energy saving propulsion system, characterized by, The servo power supply module, the intelligent liquid cooling module, the liquid cooling data acquisition module, the data processing module, the heat dissipation strategy generation module, the alarm module, the communication module and the cloud data server are connected with the data processing module. The servo power supply module, the intelligent liquid cooling module, the liquid cooling data acquisition module, the data processing module, the heat dissipation strategy generation module, the alarm module, the communication module and the cloud data server are connected with the data processing module. The servo power supply module includes a plurality of servo power supplies, which are used to supply power to each servo device. The intelligent liquid cooling module is used to dissipate heat from the servo power supply module according to the heat dissipation strategy. The liquid cooling data acquisition module is used to collect heat dissipation data and energy consumption data. The heat dissipation strategy generation module is used to generate a heat dissipation strategy based on the heat dissipation data and the energy consumption data. The alarm device is used to send alarm information. The cloud data server is used to provide cloud data services.
2. A servo-energized pusher system according to claim 1, wherein The heat dissipation strategy generation module generates a heat dissipation strategy based on the heat dissipation data and the energy consumption data, including: The liquid cooling data acquisition module collects the working parameters of each servo power supply module and the cooling liquid state information, and transmits the working parameters of each servo power supply module and the cooling liquid state information to the heat dissipation strategy generation module. The heat dissipation strategy generation module generates a candidate heat dissipation path based on the working parameters of each servo power supply module and the cooling liquid state, and generates a heat dissipation path recommendation list. The intelligent liquid cooling module selects the optimal or user-confirmed heat dissipation path based on the heat dissipation path recommendation list, obtains the selected heat dissipation path, and adjusts the corresponding valve according to the selected heat dissipation path to adjust the liquid cooling path to the heat dissipation path.
3. A servo-energized pusher system according to claim 2, wherein The liquid cooling data acquisition module collects the working parameters of each servo power supply module and the cooling liquid state information, including: The working parameters of the servo power supply module include the PSU power supply power, and the cooling liquid state information includes the cooling liquid temperature data and the cooling liquid flow rate.
4. A servo-energized pusher system according to claim 3, wherein The heat dissipation strategy generation module generates a candidate heat dissipation path based on the working parameters of each servo power supply module and the cooling liquid state, and generates a heat dissipation path recommendation list, including: According to the power size of each servo power supply module, a servo power supply module sequence is obtained, and a heat dissipation mode is obtained according to the power of each servo power supply module. If it is a single path heat dissipation, different heat dissipation paths are generated according to the shortest heat dissipation path principle, the servo power supply module sequence on each heat dissipation path is obtained, the similarity between the servo power supply module sequence on each heat dissipation path and the servo power supply module sequence is obtained, and the heat dissipation path recommendation list is obtained according to the similarity size.
5. A servo-energized pusher system according to claim 4, wherein, The intelligent liquid cooling module selects the optimal or user-confirmed heat dissipation path based on the heat dissipation path recommendation list, obtains the selected heat dissipation path, and adjusts the corresponding valve according to the selected heat dissipation path to adjust the liquid cooling path to the heat dissipation path, including: According to the selected heat dissipation path, the intelligent liquid cooling module adjusts the heat dissipation path to the selected heat dissipation path, and dissipates heat from each servo power supply module.
6. A servo-energized pusher system according to claim 4, wherein The shortest heat dissipation path principle is that the path between each servo power supply module is the shortest.
7. A servo-energized pusher system according to claim 6, wherein The intelligent liquid cooling module comprises an intelligent control module and a cooling module; the cooling module comprises a plurality of electronic valves; the plurality of electronic valves are connected with the intelligent control module respectively.
8. A servo energy saving push control method, characterized by, The application is applied to the servo energy-saving pushing system of any one of claims 1-7.