A multifunction integrated industrial equipment control cabinet based on smart grid

Abstract

This invention discloses a multi-functional integrated industrial equipment control cabinet based on a smart grid, belonging to the technical field of industrial equipment control cabinets. It includes a cabinet housing, within which a decision-making mechanism, a power distribution mechanism, and a targeted collaborative heat dissipation execution mechanism are installed. By incorporating these three mechanisms, the decision-making mechanism collects comprehensive operating data of the industrial equipment along with smart grid scheduling and electricity price signals to generate a collaborative control strategy. The power distribution mechanism dynamically allocates power to the multi-functional modules in each independent zone within the cabinet according to the strategy. The targeted collaborative heat dissipation execution mechanism combines the power distribution data with the heat dissipation control strategy to achieve precise targeted heat dissipation for each module. These three components form a closed-loop collaborative control system, capable of adjusting the operating strategy in real time according to dynamic changes in the industrial equipment's operating conditions, including no-load, light-load, rated load, and impact load.

Description

Technical Field

[0001] This invention relates to the field of industrial equipment control cabinet technology, and in particular to a multifunctional integrated industrial equipment control cabinet based on a smart grid. Background Technology

[0002] With the continuous deepening of smart grid construction and the constant improvement of industrial automation, industrial equipment control cabinets, as the core power distribution, control, and protection units of industrial production systems, are key hubs for realizing two-way interaction between industrial terminal equipment and the smart grid. To adapt to the diversified control, protection, power management, and grid linkage needs of industrial equipment, integrated industrial equipment control cabinets, which integrate multiple functions such as power distribution control, power management, equipment operation and maintenance, and grid communication, have emerged, boasting features such as compact structure, high integration, and comprehensive functional coverage. However, existing multi-functional integrated industrial equipment control cabinets based on smart grids still have the following shortcomings in use: Existing integrated industrial equipment control cabinets mostly use fixed-speed air cooling or simple temperature control based on the overall temperature of the cabinet. When industrial equipment is under impact load conditions or the heat generation of power management modules and power distribution circuits increases sharply, it is difficult to quickly and accurately enhance the heat dissipation of high-heat areas, which can easily trigger the module overheat protection and cause unplanned shutdowns of industrial equipment. Moreover, under no-load and light-load conditions, most existing cooling systems still operate at rated power, resulting in unnecessary power loss. At the same time, they cannot respond to the load reduction dispatching instructions of the smart grid and cannot meet the relevant requirements of grid demand-side management. Summary of the Invention

[0003] The purpose of this application is to provide a multi-functional integrated industrial equipment control cabinet based on a smart grid, which can effectively solve the problems mentioned in the background art.

[0004] To achieve the above objectives, this application provides the following technical solution: a multi-functional integrated industrial equipment control cabinet based on a smart grid, comprising a cabinet body, wherein a decision-making mechanism, a power distribution mechanism, and a targeted collaborative heat dissipation execution mechanism are arranged within the cabinet body; the decision-making mechanism is used to collect operating conditions, power grid, and equipment operation data, and generate a collaborative control strategy; the power distribution mechanism is used to dynamically distribute power to the multi-functional modules in each independent partition of the cabinet body according to the control commands issued by the decision-making mechanism, and to collect the operating power and loss data of each module in real time, synchronizing them with the decision-making mechanism and the targeted collaborative heat dissipation execution mechanism; the targeted collaborative heat dissipation execution mechanism is used to perform targeted heat dissipation control on each partition of the cabinet body according to the control commands issued by the decision-making mechanism and the module heat generation data collected by the power distribution mechanism; the targeted collaborative heat dissipation execution mechanism includes: Multiple sealed heat dissipation pipes are provided, each of which is respectively disposed on one side of a functional module; multiple air guide holes are provided on one side of each sealed heat dissipation pipe, and the air guide holes are disposed facing the heat dissipation fins of the functional module. Multiple blower mechanisms are installed in the cabinet, and each blower mechanism is aligned with a sealed heat dissipation duct; the blower mechanism is used to introduce heat dissipation airflow into the sealed heat dissipation duct. The system includes a heat dissipation inverter controller, which is installed in the cabinet. The blower mechanism, decision-making mechanism, and power distribution mechanism are all connected to the heat dissipation inverter controller via signal control.

[0005] Preferably, the targeted collaborative heat dissipation actuator further includes multiple pairs of temperature sensors; each pair of temperature sensors is respectively set on the surface of the heat sink of the power device of the partitioned functional module and at the air guide hole of the sealed heat dissipation pipe; and the temperature sensors are connected to the heat dissipation frequency converter through signal control.

[0006] Preferably, the decision-making mechanism includes a control compartment, a condition acquisition controller, a two-way communication terminal, and a decision processor. The control compartment is housed within a cabinet, and the condition acquisition controller, two-way communication terminal, and decision processor are all located within the control compartment. The signal input terminal of the condition acquisition controller is connected to the communication interface of the main controller of the industrial equipment via a shielded control cable, and is also connected to the main power supply circuit of the industrial equipment via a current transformer and a voltage transmitter. The external communication antenna of the two-way communication terminal is fixed to the outside of the top of the cabinet via a threaded connection. The signal interface of the two-way communication terminal is connected to the smart meter on the grid side and the demand-side response terminal via a shielded power cable, and is also connected to the local energy management system via an Ethernet interface. The decision processor is connected to the condition acquisition controller, the two-way communication terminal, the power distribution mechanism, and the targeted collaborative heat dissipation actuator via signal control.

[0007] Preferably, the power distribution mechanism includes multiple circuit breakers, a regulating controller, and a backup power supply; all of the circuit breakers, regulating controllers, and backup power supplies are housed within a cabinet, and each circuit breaker, regulating controller, and backup power supply corresponds to an independent partition. The incoming line of each circuit breaker is connected to the main incoming bus of the cabinet, the outgoing line of each circuit breaker is connected to the power supply terminal of the multi-functional module within the corresponding independent partition, and the control signal terminal of each circuit breaker is connected to the regulating controller. The decision processor and the targeted collaborative heat dissipation actuator are both connected to the regulating controller via signal control. The incoming line of each backup power supply is connected to the main incoming bus of the cabinet, the outgoing line of each backup power supply is connected to the backup power supply terminal of the circuit breaker in each independent partition, and the control signal terminal of the backup power supply is connected to the decision processor.

[0008] Preferably, the blower mechanism includes an air collector shroud, an air duct, a fan, a motor, and an air guide tube; the air collector shroud is installed in the cabinet, and an air collecting chamber is formed inside the air collector shroud, which is connected to the inner ring of the air collector shroud through an air guide slit; an air guide tube is provided on the air collector shroud, and the interior of the air guide tube is connected to the air collecting chamber; the fan is coaxially mounted on the air guide tube; the motor is installed in the cabinet, and the output end of the motor is coaxially connected to the air guide tube; multiple air inlets are provided on the air guide tube; when the motor drives the fan to rotate, outside air is allowed to enter the air guide tube through the air inlets and be guided into the air collecting chamber; after the airflow accumulates in the air collecting chamber, it is discharged through the air guide slit; the air guide tube is located between the air collector shroud and the sealed heat dissipation pipe.

[0009] Preferably, the auxiliary targeted heat dissipation mechanism includes multiple vortex tubes, a conveying branch, a conveying main, and an electric control valve; each vortex tube is coaxially arranged in an air guide tube, the conveying main is arranged in the cabinet, and the multiple vortex tubes are connected to the conveying main through the conveying branch; the electric control valve is arranged between the conveying branch and the conveying main and is used to control the opening or closing of the multiple vortex tubes and the conveying main.

[0010] Preferably, a compressed air tank is provided on one side of the cabinet, and the compressed air tank is connected to multiple vortex tubes through a main conveying line and a branch conveying line.

[0011] Preferably, the targeted collaborative heat dissipation actuator further includes multiple air intake fans installed on the cabinet, which are used to control the airflow speed and range within the cabinet.

[0012] Preferably, both the air collecting hood and the air intake fan are equipped with filters to isolate external dust from the interior of the cabinet.

[0013] Preferably, the control compartment is equipped with a local data storage and fault alarm device, which is connected to the decision processor via signal control. The alarm output terminal is connected to the cabinet's audible and visual alarm and the main controller of the industrial equipment via a control cable.

[0014] In summary, the technical effects and advantages of this invention are as follows: 1. This invention establishes a decision-making mechanism, a power allocation mechanism, and a targeted collaborative heat dissipation execution mechanism. The decision-making mechanism collects comprehensive operating data of industrial equipment and smart grid scheduling and electricity price signals to generate a collaborative control strategy. The power allocation mechanism dynamically allocates power to the multi-functional modules in each independent zone within the cabinet according to the strategy. The targeted collaborative heat dissipation execution mechanism combines power allocation data and heat dissipation control strategy to achieve precise targeted heat dissipation for each module. The three form a closed-loop collaborative control system that can adjust the operating strategy in real time according to the dynamic changes in the operating conditions of industrial equipment under no-load, light-load, rated load, and impact load. This achieves adaptation to the dynamic environment of industrial equipment under multiple operating conditions, enabling adaptive power allocation of multi-functional modules and collaborative control of the heat dissipation system. It avoids overheating and shutdown of core modules such as power management modules and distribution circuits due to sudden increases in heat generation under impact load conditions, reduces energy redundancy losses in the heat dissipation and power allocation system under no-load and light-load conditions, and can respond to load reduction dispatch commands from the smart grid, achieving coordinated optimization of source, grid, and load, and meeting the relevant requirements of grid demand-side management.

[0015] 2. This invention employs an auxiliary targeted heat dissipation mechanism, coaxially mounting vortex tubes within an air duct. These tubes are connected to a compressed air tank on one side of the cabinet via a main and branch conveyor. An electric control valve independently controls the connection between the vortex tubes and the compressed air tank in each zone. When the industrial equipment is detected to be under impact load and the module temperature approaches a warning threshold, the compressed air is converted into low-temperature cold air via the vortex tubes. This cold air, along with the cooling airflow from the blower mechanism, is directed towards the core heat-generating areas of the module, achieving enhanced targeted heat dissipation. Once the module temperature returns to a safe range, the compressed air delivery ceases. This endows the control cabinet with rapid enhanced heat dissipation capabilities under extreme impact load conditions, precisely adapting to the instantaneous heating characteristics of industrial equipment under impact loads. It achieves precise enhanced heat dissipation of high-heat areas under impact loads, improving the control cabinet's adaptability and operational reliability under complex conditions.

[0016] 3. This invention incorporates a backup power supply unit. The backup power supply unit's input terminal is connected to the main incoming busbar of the control cabinet, and its output terminal is connected to the backup power supply terminals of the circuit breakers in each zone. When the decision-making body receives a load reduction dispatch command from the smart grid, the backup power supply unit provides short-term power to non-core modules, while the circuit breakers simultaneously disconnect the main incoming busbar from power to non-core modules. This allows the control cabinet to quickly reduce the main circuit's power load without affecting the normal operation of industrial equipment, accurately responding to the smart grid's load reduction dispatch commands. This improves the control cabinet's grid adaptability and demand-side response capability, effectively avoiding performance penalties for failing to meet grid dispatch requirements. Furthermore, the independent power control mode for each zone prevents a single module's failure from spreading to other zones, enhancing the overall power supply reliability and operational stability of the control cabinet. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the overall three-dimensional structure of the present invention; Figure 2 This is a three-dimensional structural diagram of the cabinet body of the present invention; Figure 3 This is an enlarged schematic diagram of the internal structure of the control chamber of the present invention; Figure 4 This is a partially cross-sectional, enlarged three-dimensional structural diagram of the cabinet body of the present invention; Figure 5 This is a partially cross-sectional, three-dimensional enlarged schematic diagram of a portion of the targeted collaborative heat dissipation actuator of the present invention; Figure 6 This is a three-dimensional enlarged structural diagram of the sealed heat dissipation pipe of the present invention; Figure 7 This is a three-dimensional enlarged structural schematic diagram of the air collection shroud of the present invention; Figure 8 This is a side view enlarged sectional structural diagram of the air collection shroud of the present invention; Figure 9 This is a three-dimensional enlarged structural schematic diagram of the auxiliary targeted heat dissipation mechanism of the present invention; Figure 10 This is a three-dimensional enlarged schematic diagram of a portion of the auxiliary targeted heat dissipation mechanism of the present invention.

[0019] In the diagram: 1. Cabinet; 2. Decision-making unit; 21. Control compartment; 22. Operating condition acquisition controller; 23. Two-way communication terminal; 24. Decision processor; 3. Power distribution mechanism; 31. Circuit breaker; 32. Regulator; 33. Backup power supply; 4. Targeted collaborative heat dissipation actuator; 41. Sealed heat dissipation duct; 42. Air guide hole; 43. Blower mechanism; 431. Air collection hood; 432. Air collection chamber; 433. Air guide slit; 434. Air guide duct; 435. Fan; 436. Motor; 437. Air inlet; 438. Air guide tube; 439. Filter; 44. Heat dissipation frequency converter; 45. Auxiliary targeted heat dissipation mechanism; 451. Vortex tube; 452. Conveyor branch; 453. Conveyor main; 454. Electric control valve; 46. Suction fan. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Example 1: Please refer to Figures 1-2 and Figures 4-5 The diagram illustrates a multi-functional integrated industrial equipment control cabinet based on a smart grid, comprising a cabinet 1. The cabinet 1 houses a decision-making mechanism 2, a power distribution mechanism 3, and a targeted collaborative heat dissipation actuator 4. The decision-making mechanism 2 collects operating conditions, grid data, and equipment operation data, and generates collaborative control strategies. Each generated control strategy corresponds to a specific control command, which the decision-making mechanism 2 then sends to the power distribution mechanism 3 and the targeted collaborative heat dissipation actuator 4. The power distribution mechanism 3 dynamically distributes power to the multi-functional modules in each independent zone of the cabinet 1 according to the control commands issued by the decision-making mechanism 2, and collects real-time operating power and loss data of each module, synchronizing this data with the decision-making mechanism 2 and the targeted collaborative heat dissipation actuator 4. The targeted collaborative heat dissipation actuator 4 performs targeted heat dissipation control on each zone within the cabinet 1 based on the control commands issued by the decision-making mechanism 2 and the heat generation data of the modules collected by the power distribution mechanism 3. The targeted collaborative heat dissipation actuator 4 includes: a heat dissipation frequency converter 44, multiple sealed heat dissipation pipes 41, and a blower mechanism 43. It is understood that the heat dissipation frequency converter 44 is existing technology and will not be described in detail. Each sealed heat dissipation pipe 41 is respectively set on one side of a functional module. Multiple air guide holes 42 are opened on one side of the sealed heat dissipation pipe 41, and the air guide holes 42 are set towards the heat dissipation fins of the functional module. Multiple blower mechanisms 43 are installed in the cabinet 1, and each blower mechanism 43 is aligned with a sealed heat dissipation pipe 41. The blower mechanism 43 is used to introduce heat dissipation airflow into the sealed heat dissipation pipe 41. The heat dissipation frequency converter 44 is installed in the cabinet 1, and the blower mechanism 43, the decision mechanism 2, and the power distribution mechanism 3 are all connected to the heat dissipation frequency converter 44 through signal control.

[0022] It should be noted that a linkage control system is built inside the cabinet 1, consisting of a decision-making mechanism 2, a power distribution mechanism 3, and a targeted collaborative heat dissipation actuator 4. First, the decision-making mechanism 2 completes the full-dimensional acquisition of industrial equipment operating conditions and smart grid signals and generates a collaborative control strategy. Then, the power distribution mechanism 3 completes the dynamic power distribution of the multi-functional modules in each zone of the cabinet according to the strategy. Finally, the targeted collaborative heat dissipation actuator 4 combines the power distribution data to achieve precise targeted heat dissipation. The three form a closed-loop collaborative control system, which adapts to the dynamic changes in multiple operating conditions of industrial equipment and achieves deep linkage with the smart grid.

[0023] The decision-making body 2 continuously collects real-time operating data of industrial equipment, peak-valley electricity price signals from the smart grid, and demand-side response dispatch instructions. Simultaneously, it collects operating status data from each multi-functional module within cabinet 1. After internal processing, it generates power allocation strategies and targeted heat dissipation control strategies adapted to the current operating conditions. These two strategies are then distributed to the power allocation mechanism 3 and the heat dissipation inverter controller 44 of the targeted collaborative heat dissipation execution mechanism 4, respectively. Upon receiving the power allocation strategies from the decision-making body 2, the power allocation mechanism 3 dynamically allocates power to the multi-functional modules in each independent zone within cabinet 1, limiting redundant power output from non-core modules and prioritizing the power supply needs of core modules such as the power management module and power distribution circuits under impact load conditions. Simultaneously, it records the real-time power of each module. The loss and expected heat generation data are synchronously transmitted to the heat dissipation inverter controller 44. The heat dissipation inverter controller 44 integrates the heat dissipation control strategy of the decision-making mechanism 2 and the module heat generation data of the power distribution mechanism 3, and issues speed control commands to multiple blower mechanisms 43. Each blower mechanism 43 corresponds to a closed heat dissipation pipe 41. The blower mechanism 43 introduces heat dissipation airflow into the corresponding closed heat dissipation pipe 41. The airflow passes through multiple air guide holes 42 set on the closed heat dissipation pipe 41 towards the heat dissipation fins of the functional modules, and is precisely blown to the multi-functional modules in the corresponding partition, so as to achieve targeted heat dissipation of each module. The heat dissipation inverter controller 44 always maintains signal interaction with the decision-making mechanism 2 and the power distribution mechanism 3, and adjusts the operating status of the blower mechanism 43 in real time according to the working conditions and power changes.

[0024] By setting up a three-level linkage structure of decision-making mechanism 2, power distribution mechanism 3 and targeted collaborative heat dissipation execution mechanism 4 in the cabinet 1, the power distribution and heat dissipation system achieves full closed-loop collaborative control, which is compatible with the dynamic operating environment of industrial equipment under multiple working conditions. By utilizing the directional design of the sealed heat dissipation pipe 41 and the air guide hole 42 in conjunction with the targeted air delivery of the blower mechanism 43, precise targeted heat dissipation of the multi-functional modules in each zone is achieved, avoiding the heat crosstalk problem caused by overall heat dissipation. Through the centralized control of the heat dissipation frequency converter 44, the operating status of the heat dissipation system is matched with the power distribution status in real time, and at the same time, it responds to the smart grid signal transmitted by the decision-making mechanism 2, maximizing the reduction of the power loss of the heat dissipation system while ensuring the heat dissipation effect, and meeting the demand-side response requirements of the power grid.

[0025] See Figures 1-2 and Figure 4 The targeted collaborative heat dissipation actuator 4 also includes multiple pairs of temperature sensors; each pair of temperature sensors is respectively attached to the surface of the power device heat sink of the partitioned functional module and the position of the air guide hole 42 of the sealed heat dissipation pipe 41; and the temperature sensors are connected to the heat dissipation frequency converter 44 through signal control; it is understood that the temperature sensors are existing technology, not shown in the figure, and will not be described in detail.

[0026] It should be noted that the temperature data of the core heat-generating part of the module is collected in real time by the temperature sensor on the surface of the heat sink of the power device, and the temperature data of the cooling airflow blowing towards the module is collected in real time by the temperature sensor at the air duct 42. Both sets of temperature data are transmitted to the heat dissipation frequency converter 44 through the signal. The heat dissipation frequency converter 44 performs comprehensive calculations on the temperature data collected, the module heat generation data transmitted by the power distribution mechanism 3, and the operating condition data transmitted by the decision mechanism 2. When the module temperature is detected to be close to the warning threshold, the speed of the corresponding blower mechanism 43 is automatically increased to increase the delivery volume of the cooling airflow. When the module temperature is detected to be within the safe range and the operating condition is no load or light load, the speed of the corresponding blower mechanism 43 is automatically reduced to reduce the delivery volume of the cooling airflow, so as to realize the adaptive adjustment of the heat dissipation system.

[0027] By installing multiple pairs of temperature sensors at the core heat-generating parts and air guide positions, precise dual-dimensional acquisition of module operating temperature and heat dissipation airflow temperature is achieved. This upgrades the control of the heat dissipation system from simple power prediction to a composite control of temperature feedback and power prediction, improving the accuracy and timeliness of heat dissipation control. Real-time data feedback from the temperature sensors allows the heat dissipation inverter controller 44 to quickly identify the module's temperature rise trend and adjust the operating status of the blower mechanism 43 in advance, preventing the module from triggering overheat protection and ensuring the continuous and stable operation of industrial equipment. Adaptive heat dissipation adjustment based on temperature data ensures that the energy consumption of the heat dissipation system always matches the actual heat dissipation demand, minimizing redundant energy consumption under no-load and light-load conditions, and further improving the energy efficiency of the control cabinet.

[0028] See Figures 1-3 The decision-making unit 2 includes a control compartment 21, a working condition acquisition controller 22, a two-way communication terminal 23, and a decision processor 24. It is understood that the working condition acquisition controller 22, the two-way communication terminal 23, and the decision processor 24 are all existing technologies and will not be described in detail here. The control compartment 21 is located within the cabinet 1. The working condition acquisition controller 22, the two-way communication terminal 23, and the decision processor 24 are all located within the control compartment 21. The signal input terminal of the working condition acquisition controller 22 is connected to the communication interface of the main controller of the industrial equipment via a shielded control cable, and is also connected to the main power supply circuit of the industrial equipment via a current transformer and a voltage transmitter. The external communication antenna of the two-way communication terminal 23 is fixed to the top outside of the cabinet 1 via a threaded connection. The signal interface of the two-way communication terminal 23 is connected to the smart meter on the grid side and the demand-side response terminal via a shielded power cable, and is also connected to the local energy management system via an Ethernet interface. The decision processor 24 is connected to the working condition acquisition controller 22, the two-way communication terminal 23, the power distribution mechanism 3, and the targeted collaborative heat dissipation actuator 4 via signal control.

[0029] It should be noted that the operating condition acquisition controller 22 continuously collects data such as the operating current, voltage, and load rate of industrial equipment. Through its built-in algorithm, it accurately identifies the current operating condition of the equipment, whether it is under no-load, light-load, rated load, or impact load, and transmits the operating condition data to the decision processor 24. The two-way communication terminal 23 obtains the peak-valley electricity price signal and load reduction dispatch instructions from the smart grid in real time, and transmits the grid signal to the decision processor 24. At the same time, it uploads the real-time power load data of the control cabinet to the grid side to achieve two-way communication. After receiving the operating condition data from the operating condition acquisition controller 22 and the grid data from the two-way communication terminal 23, the decision processor 24 generates a coordinated strategy for power distribution and heat dissipation control with the goal of achieving the required heat dissipation effect, minimizing energy consumption, and meeting the grid dispatch requirements. The strategy is then distributed to the power distribution mechanism 3 and the heat dissipation frequency converter 44, and the processor receives feedback data from both, forming a closed loop of decision control.

[0030] See Figures 1-2 and Figure 4 The power distribution mechanism 3 includes multiple circuit breakers 31, a regulating controller 32, and a backup power supply 33. It is understood that the circuit breakers 31, regulating controller 32, and backup power supply 33 are all existing technologies and will not be described in detail. The multiple circuit breakers 31, regulating controller 32, and backup power supply 33 are all housed within the cabinet 1, and each circuit breaker 31, regulating controller 32, and backup power supply 33 corresponds to an independent partition. The incoming line of the circuit breaker 31 is connected to the main incoming bus of the cabinet 1, and the outgoing line of the circuit breaker 31 is connected to the power supply terminal of the multi-functional module in the corresponding independent partition. The control signal terminal of the circuit breaker 31 is connected to the regulating controller 32. The decision processor 24 and the targeted collaborative heat dissipation actuator 4 are both connected to the regulating controller 32 via signal control. The incoming line of the backup power supply 33 is connected to the main incoming bus of the cabinet 1, and the outgoing line of the backup power supply 33 is connected to the backup power supply terminal of the circuit breaker 31 in each independent partition. The control signal terminal of the backup power supply 33 is connected to the decision processor 24.

[0031] It should be noted that while the regulating controller 32 completes the power distribution, it calculates the power loss of the corresponding partition module in real time. It obtains the real-time heat generation of the module through the mapping model of power loss and heat generation, and transmits the heat generation data synchronously to the heat dissipation frequency converter 44 to provide data support for targeted heat dissipation. When the two-way communication terminal 23 receives the load reduction dispatch instruction from the grid side, the decision processor 24 issues a control instruction to the backup power supply 33. At this time, the backup power supply 33 provides short-term power supply to the non-core modules, and the circuit breaker 31 cuts off the power supply from the main incoming bus to the non-core modules, quickly reducing the main circuit power load of cabinet 1 to meet the load reduction requirements of the grid. After the dispatch instruction ends, it automatically switches back to the main incoming bus power supply.

[0032] By configuring independent circuit breakers 31 and regulating controllers 32 for each zone, precise power allocation for each functional module within cabinet 1 is achieved, allowing power regulation to adapt to the actual operating needs of each module and avoiding the problem of insufficient power supply to core modules or excessive energy consumption of non-core modules caused by single power control. The regulating controller 32 realizes real-time calculation and data synchronization of power loss and heat generation, enabling deep data linkage between power allocation and targeted heat dissipation, further improving the accuracy of heat dissipation control. The backup power supply 33 allows the control cabinet to quickly respond to the load reduction dispatching command of the power grid without affecting the normal operation of industrial equipment, improving the grid adaptability and demand-side response capability of the control cabinet.

[0033] See Figures 4-8 The blower mechanism 43 includes an air collector hood 431, an air duct 434, a fan 435, a motor 436, and an air guide tube 438. The air collector hood 431 is installed in the cabinet 1, and an air collecting chamber 432 is opened inside the air collector hood 431. The air collecting chamber 432 and the inner ring of the air collector hood 431 are connected through an air guide slit 433. An air guide tube 434 is installed on the air collector hood 431, and the interior of the air guide tube 434 is connected to the air collecting chamber 432. The fan 435 is coaxially mounted on the air guide tube 434. The motor 436 is installed on the cabinet 1, and the output end of the motor 436 is coaxially connected to the air duct 434; the air duct 434 is provided with multiple air inlets 437; when the motor 436 drives the fan 435 to rotate, outside air is allowed to enter the air duct 434 through the air inlets 437 and be introduced into the air collection chamber 432. After the airflow accumulates in the air collection chamber 432, it is discharged through the air guide slit 433; the air guide tube 438 is set between the air collection cover 431 and the sealed heat dissipation pipe 41.

[0034] It should be noted that the heat dissipation frequency converter 44 sends speed control commands to the motor 436 based on comprehensive data. After the motor 436 starts, it drives the fan 435, which is coaxially mounted inside the air duct 434, to rotate. Outside air enters the air duct 434 through multiple air inlets 437 on the air duct 434. As the fan 435 rotates, it is guided into the air collection chamber 432 inside the air collection shroud 431. After the airflow accumulates in the air collection chamber 432 to form a stable airflow bundle, it is evenly discharged through the air guide gap 433 between the air collection chamber 432 and the inner ring of the air collection shroud 431. The discharged airflow enters the sealed heat dissipation pipe 41 through the air guide tube 438 between the air collection shroud 431 and the sealed heat dissipation pipe 41, and finally blows it to the heat dissipation fins of the corresponding functional module through the air guide hole 42 to achieve targeted air blowing heat dissipation. Moreover, the speed of the motor 436 is adjusted in real time according to the changes in module temperature, operating conditions and power, thereby adjusting the rotation speed of the fan 435 to achieve stepless adjustment of the heat dissipation airflow.

[0035] The blower mechanism 43, through the structural design of the air collection chamber 432 and the air guide slit 433, allows the incoming airflow to form a stable and uniform airflow bundle, avoiding the problem of poor heat dissipation caused by airflow dispersion, and improving the utilization rate of airflow and the effect of targeted heat dissipation. The design of the air guide duct 434 and multiple air inlets 437 increases the air intake volume, which can provide sufficient airflow for heat dissipation when the motor 436 is running at high speed, and meet the high heat dissipation requirements under impact load conditions.

[0036] See Figure 4 and Figures 9-10 The auxiliary targeted heat dissipation mechanism 45 includes multiple vortex tubes 451, a conveying branch 452, a main conveying channel 453, and an electric control valve 454. It is understood that the vortex tubes 451 and the electric control valve 454 are existing technologies and will not be described in detail. Each vortex tube 451 is coaxially arranged within an air guide duct 438. The main conveying channel 453 is located within the cabinet 1, and the multiple vortex tubes 451 are connected to the main conveying channel 453 via the conveying branch 452. The electric control valve 454 is located between the conveying branch 452 and the main conveying channel 453 and is used to control the connection or closure between the multiple vortex tubes 451 and the main conveying channel 453. A compressed air tank is provided on one side of the cabinet 1, and the compressed air tank is connected to the multiple vortex tubes 451 via the main conveying channel 453 and the conveying branch 452. It is understood that the compressed air tank is existing technology and is not shown in the figure, so it will not be described in detail.

[0037] It should be noted that when the decision-making body 2 identifies that the industrial equipment is under impact load, and the temperature sensor detects that the module temperature is rising rapidly and approaching the warning threshold, the heat dissipation frequency converter 44 sends a conduction command to the electric control valve 454. The compressed air in the compressed air tank enters the corresponding conveying branch 452 through the main conveying route 453, and then enters the vortex tube 451. The vortex tube 451 converts the compressed air into low-temperature cold air. The cold air, along with the airflow from the blower mechanism 43, enters the sealed heat dissipation pipe 41 through the air guide tube 438, and is blown onto the module heat dissipation fins through the air guide hole 42 to achieve enhanced targeted heat dissipation. When the temperature sensor detects that the module temperature has dropped to a safe range, the heat dissipation frequency converter 44 sends a closing command to the electric control valve 454, the delivery of compressed air stops, the auxiliary targeted heat dissipation mechanism 45 stops operating, and the blower mechanism 43 resumes the normal heat dissipation mode.

[0038] The auxiliary targeted heat dissipation mechanism 45 enables the control cabinet to enhance heat dissipation capabilities under extreme operating conditions. It can quickly reduce the module temperature under impact load conditions, fundamentally avoiding the problem of industrial equipment shutdown caused by overheat protection triggered by a sudden increase in module heat generation. This improves the adaptability and reliability of the control cabinet under complex operating conditions. The vortex tube 451 can directly convert compressed air into cold air without the need for additional cooling components. It has a simple structure and fast response speed, and can adapt to the instantaneous heat generation characteristics of industrial equipment under impact load conditions. The independent control of the electric control valve 454 allows the auxiliary heat dissipation mechanism to operate independently according to the actual temperature status of each zone module, avoiding energy waste caused by overall auxiliary heat dissipation. At the same time, the delivery of compressed air is integrated with the airflow delivery of the blower mechanism 43, allowing the cold air to be precisely blown to the core heat-generating parts, improving the accuracy and efficiency of enhanced heat dissipation.

[0039] See Figures 1-2 and Figure 4 The targeted collaborative heat dissipation actuator 4 also includes multiple air intake fans 46 installed on the cabinet 1, which are used to control the airflow speed and range inside the cabinet 1; both the air collection hood 431 and the air intake fans 46 are equipped with filters 439, which are used to isolate external dust from the inside of the cabinet 1.

[0040] It should be noted that while the heat dissipation inverter controller 44 controls the blower mechanism 43 to introduce heat dissipation airflow into the sealed heat dissipation pipe 41, it also controls the operating speed of the suction fan 46 according to the airflow state inside the cabinet 1. The suction fan 46 accelerates the airflow speed and range inside the cabinet 1, quickly exhausting the hot air generated after the heat dissipation of each module to the outside of the cabinet 1, forming a directional airflow circulation inside the cabinet 1, and improving the overall heat dissipation effect. At the same time, when outside air enters the cabinet 1 through the air collector 431, the filter screen 439 filters the dust in the air. When the hot air inside the cabinet 1 is exhausted through the suction fan 46, the filter screen 439 blocks external dust from entering the cabinet 1, thus achieving dust isolation inside the cabinet 1.

[0041] The intake fan 46 creates a directional airflow circulation within the cabinet 1, quickly expelling the hot air after heat dissipation. This prevents the accumulation of hot air within the cabinet, which could lead to increased ambient temperature and further improves the overall heat dissipation effect. Simultaneously, it ensures that the heat dissipation of each zone does not affect the others, reducing heat crosstalk. The filter 439 achieves dust isolation inside the cabinet 1 through a dual air inlet and outlet path, minimizing the probability of dust entering the cabinet 1 and adhering to functional modules, air ducts, and heat dissipation fins. This avoids heat dissipation efficiency degradation and module failure caused by dust accumulation, extending the maintenance cycle of the control cabinet and the service life of each component. The speed of the intake fan 46 is uniformly controlled by the heat dissipation inverter controller 44, matching the operating status of the blower mechanism 43, ensuring that the airflow circulation within the cabinet is always adapted to the heat dissipation requirements, avoiding redundant energy consumption.

[0042] It can be understood that the comprehensive data received by the heat dissipation variable frequency controller 44 refers to the full-dimensional input data set for the heat dissipation variable frequency controller 44 to achieve targeted heat dissipation, stepless air volume adjustment, and coordinated control of power and heat dissipation; specifically including the top-level coordinated control data provided by the decision-making mechanism 2; the heat generation feedforward prediction data provided by the power distribution mechanism 3, and the heat dissipation effect closed-loop feedback data provided by the targeted coordinated heat dissipation execution mechanism 4 itself; The top-level coordinated control data specifically includes: industrial equipment real-time working condition identification and trend prediction data: from the working condition acquisition controller 22, including the accurate working condition types of no-load, light load, rated load, and impact load of the current equipment, and the predicted results of working condition changes within the next 10s (such as the predicted peak power), which is the core basis for the heat dissipation variable frequency controller 44 to achieve early speed regulation and avoid control lag; intelligent power grid side dispatching and electricity price data: from the bidirectional communication terminal 23, including the real-time peak-valley electricity price signal of the power grid, the demand-side load reduction dispatching instruction, the response time requirement, and the load regulation target value, which is used to optimize the speed of the motor 436 to match the energy consumption and load regulation requirements of the power grid on the premise of ensuring the heat dissipation safety of the module, and achieve the coordinated optimization of the source-network-load; the targeted heat dissipation coordinated control strategy issued by the decision-making processor 24: the multi-objective optimization operation result from the decision-making processor 24, including the heat dissipation priority of each partition module, the temperature safety margin requirement, and the whole-system energy consumption control target under the current working condition, which is the core control boundary for the speed regulation of the motor 436; The heat generation feedforward prediction data specifically includes: the real-time operating power and power loss data of the corresponding partition function module: from the adjustment controller 32 matched with the heat dissipation partition, including the module's real-time active power, reactive power, and actual power loss value, which is the basic data for calculating the module's real-time heat generation; the module's real-time heat generation and temperature rise prediction data: from the operation result of the adjustment controller 32 through the power loss and heat generation mapping model, including the module's real-time heat generation and the predicted future temperature rise trend combined with the working condition. The heat dissipation variable frequency controller 44 can adjust the speed of the motor 436 in advance based on this data, and increase the air volume in advance before the module's heat generation suddenly increases, avoiding overheating of the module under impact load conditions; the module power supply priority and power limit data: from the power distribution strategy executed by the adjustment controller 32, including the power adjustment range of the partition module. The heat dissipation variable frequency controller 44 determines the heat dissipation resource allocation priority of different partitions based on this data, and preferentially ensures the heat dissipation air volume of the core module; The heat dissipation effect closed-loop feedback data specifically includes: two-dimensional temperature acquisition data: from multiple pairs of temperature sensors supporting the partition, including the core temperature on the surface of the power device heat sink of the partition function module and the heat dissipation air flow temperature at the air guide hole 42 position of the sealed heat dissipation pipeline 41, which is used to judge in real time whether the current heat dissipation effect meets the standard and perform closed-loop fine-tuning on the speed of the motor 436; The real-time operating status data of the heat dissipation system specifically includes: the current real-time speed of motor 436, the operating status of blower mechanism 43, the internal ambient temperature of cabinet 1, and the current operating speed of intake fan 46. This data is used to determine the current operating condition of the heat dissipation system and prevent the speed adjustment from exceeding the rated operating range of the components. The status data of the auxiliary targeted heat dissipation mechanism includes the on / off status of the electric control valve 454 of the corresponding vortex tube 451 in this partition and the compressed air tank pressure data. This data is used to coordinate with the start and stop of the auxiliary heat dissipation mechanism to adjust the speed of motor 436 and balance the heat dissipation effect and system energy consumption.

[0043] Example 2: The technical solution of this example differs from that of Example 1 in that: (See below) Figures 1-2 The control compartment 21 is equipped with a local data storage and fault alarm device. The local data storage and fault alarm device is connected to the decision processor 24 via signal control. The alarm output terminal is connected to the audible and visual alarm device of the cabinet 1 and the main controller of the industrial equipment via a control cable. It is understood that the local data storage and fault alarm device is existing technology and is not shown in the figure, so it will not be described in detail.

[0044] It should be noted that the decision processor 24 continuously transmits the operating condition data, power grid data, power distribution data, heat dissipation control data, operating status data of each module, and the generated control strategy during the operation of the control cabinet to the local data storage and fault alarm device for long-term storage. When the decision processor 24 receives an over-temperature signal from the temperature sensor, a communication abnormality signal from each component, a power supply fault signal from the power distribution mechanism 3, or an operating fault signal from the targeted collaborative heat dissipation actuator 4, it immediately transmits the fault signal to the local data storage and fault alarm device. After receiving the fault signal, the device immediately triggers the audible and visual alarm on the cabinet 1 to issue an on-site alarm, and at the same time transmits the fault signal to the main controller of the industrial equipment through the control cable to achieve synchronous transmission of the fault signal.

[0045] It is understandable that the process of generating a power allocation strategy and a targeted heat dissipation control strategy adapted to the current operating conditions after the above internal calculations and processing specifically includes the following steps: Step 1: First, input the data source: The data source includes real-time operating current, voltage, load rate, power factor, and main controller operation sequence instructions of industrial equipment uploaded by the operating condition acquisition controller 22; smart grid peak-valley electricity price signals, demand-side load reduction scheduling instructions, and grid-side power quality data uploaded by the two-way communication terminal 23; real-time operating power and power loss data of each zone module uploaded by the regulating controller 32 of the power distribution mechanism 3; surface temperature and heat dissipation airflow temperature data of the module core components uploaded by multiple pairs of temperature sensors; and real-time operating status data of the blower mechanism 43 and the intake fan 46 uploaded by the heat dissipation frequency converter 44; then perform core calculations; the core calculations include outlier filtering processing: using... The Kalman filter algorithm (a current technology, not detailed here) filters out data jumps and outliers caused by strong electromagnetic interference in industrial settings, preserving the true trend of data changes. Multi-source data timestamp alignment: Data sources with different sampling frequencies (such as sampled operating condition data and sampled power grid data) are aligned to a 50ms control cycle time base, eliminating data timing deviations. Data normalization: Raw data with different dimensions, such as current, voltage, temperature, speed, and electricity price, are linearly mapped to a standardized 0-1 range, eliminating the impact of dimensional differences on subsequent optimization calculations. Finally, a standardized, interference-free, and time-synchronized full-dimensional dataset is output, providing a reliable input foundation for subsequent core optimization calculations.

[0046] Step Two: First, input the preprocessed industrial equipment timing data from Step One and the equipment main controller's runtime timing instructions. Then, using a pre-trained fuzzy C-means clustering model (existing technology, not detailed here), with equipment load rate, current fluctuation rate, and power factor as core feature dimensions, accurately classify the equipment's current operating state into four standard operating conditions: no-load, light-load, rated load, and impact load. Simultaneously, output the membership degree of the current state to each operating condition to avoid misjudgments at operating condition boundaries. Next, using a sliding window timing prediction algorithm (existing technology, not detailed here), based on the timing data of the equipment's past thirty operating cycles and combined with the runtime timing instructions transmitted by the equipment main controller, predict the operating condition change trend within the next 10 seconds, focusing on accurately predicting the arrival time of the impact load, the expected peak power, and the expected heat generation of the corresponding module. Finally, output the current equipment's precise operating condition type, the predicted results of future operating condition changes, and the estimated power loss and heat generation of each functional module.

[0047] Step 3: First, combining the data obtained in Step 2, input the operating condition identification and prediction results, grid-side electricity price and dispatch instructions, module rated temperature threshold, rated operating parameters of each component, and real-time temperature and power data. Then, with the three optimization objectives of achieving heat dissipation performance standards, minimizing overall system energy consumption, and meeting grid dispatch requirements, construct a coupled multi-objective optimization model for power allocation and heat dissipation control. The two sub-models are synchronously coupled for computation, achieving coordinated control from the root. A non-dominated sorting genetic algorithm with an elitist strategy, which is highly adaptable to industrial scenarios, is used for fast calculation, as detailed below: The three optimization objective functions are defined as follows: Objective 1: Minimize the maximum temperature rise of the module, ensure that the operating temperature of all functional modules is always below the rated warning threshold, and reserve a 15% temperature safety margin under impact load conditions; Objective 2: Minimize the total active power consumption of the entire control cabinet system, while covering the power consumption of functional modules and the power consumption of the heat dissipation system; Objective 3: Maximize the fit between power grid dispatch instructions and ensure that the deviation between the real-time power load of the control cabinet and the power grid load reduction requirements and peak-valley electricity price optimization objectives is minimized.

[0048] Hard constraint setting: Power constraints: The power supply of the core module of the control cabinet is greater than the minimum operating threshold, and the power adjustment range of the non-core module is less than the rated limit of the component. Temperature constraint: The temperature of the core components of all functional modules is lower than the rated maximum temperature; Grid constraint: When an emergency grid dispatch command is triggered, the load on the main circuit of the control cabinet must be reduced to below the dispatch target value within a specified time. Constraints on heat dissipation components: The motor speed adjustment range of the blower mechanism 43 is 0-100% of the rated speed, and the auxiliary targeted heat dissipation mechanism 45 is only allowed to be triggered under impact load and over-temperature warning conditions.

[0049] Coupled iterative solution logic: The power allocation results of each module calculated by the power allocation optimization sub-model will be synchronously passed to the heat dissipation control optimization sub-model as heat generation input parameters; the power consumption of the heat dissipation system calculated by the heat dissipation control sub-model will be synchronously passed to the power allocation sub-model as energy consumption input parameters. The two are iteratively solved until a Pareto optimal solution that simultaneously satisfies the three objectives is obtained, and finally a power allocation strategy and a targeted heat dissipation control strategy adapted to the current operating conditions are generated. Finally, based on the above calculation results, the optimal power allocation strategy and the optimal targeted heat dissipation control strategy are output. The optimal power allocation strategy includes the power limit of each partition module, the power supply priority of the core module, the power adjustment scheme of the non-core module, and the triggering logic of the backup power supply 33. The optimal targeted heat dissipation control strategy includes the target speed of each partition blower mechanism 43, the triggering conditions of the auxiliary targeted heat dissipation mechanism 45, and the target speed of the intake fan 46. Step 4: First, during equipment operation, input real-time feedback data on actual module operating power, actual temperature, real-time updates of grid dispatch instructions, and sudden fluctuations in operating conditions. Then, using a rolling time-domain optimization framework with a 50ms control cycle, real-time feedback data is re-acquired in each cycle, and the strategy generated in the previous cycle is dynamically corrected. When the deviation between the actual temperature and the predicted temperature rise exceeds 5%, a sudden change in operating conditions occurs, or the grid dispatch instruction is updated, the multi-objective optimization model is immediately recalculated, and the power allocation and heat dissipation control strategies are updated synchronously. At the same time, for peak and valley electricity price periods, a basic optimization strategy is generated 24 hours in advance based on the electricity price curve. During peak electricity price periods, unnecessary heat dissipation and module redundant power consumption are prioritized to further optimize the overall cycle electricity cost. Finally, the dynamically corrected power allocation strategy and heat dissipation control strategy are output in real time to ensure the accuracy and real-time nature of the control.

[0050] Step 5: Input the final optimized power allocation strategy and heat dissipation control strategy, and then perform safety boundary verification. Safety boundary verification includes hard constraint verification of the generated strategy to determine whether the strategy will cause core module power failure, module overheating, components exceeding the rated operating range, or failure to meet the grid's hard dispatch requirements. If the verification fails, it will automatically return to the multi-objective optimization model for recalculation until a strategy that meets safety requirements is generated. After the verification passes, the overall strategy is decomposed into specific control instructions corresponding to each execution component, including the partition power limit instruction for the regulating controller 32, the on / off control instruction for the circuit breaker 31, the backup power supply trigger instruction for the backup power supply unit 33, the fan speed instruction for the heat dissipation frequency converter 44, and the on / off instruction for the electric control valve 454. All instructions are marked with a unified timestamp to ensure the synchronous execution of power allocation and heat dissipation control actions. Finally, output the coordinated control instructions synchronously sent to each execution component to complete the entire internal calculation and processing flow, and finally realize the full closed-loop coordinated control of the power allocation and heat dissipation system.

[0051] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A multifunctional integrated industrial equipment control cabinet based on a smart grid, comprising a cabinet (1), characterized in that: The cabinet (1) is equipped with a decision-making mechanism (2), a power distribution mechanism (3), and a targeted collaborative heat dissipation execution mechanism (4). The decision-making mechanism (2) is used to collect operating conditions, power grid, and equipment operation data, and generate a collaborative control strategy. The power distribution mechanism (3) is used to dynamically distribute power to the multi-functional modules in each independent partition of the cabinet (1) according to the control instructions issued by the decision-making mechanism (2). The targeted collaborative heat dissipation execution mechanism (4) is used to perform targeted heat dissipation control on each partition of the cabinet (1) according to the control instructions issued by the decision-making mechanism (2) and the heat generation data of the modules collected by the power distribution mechanism (3). The targeted collaborative heat dissipation actuator (4) includes: Multiple sealed heat dissipation pipes (41) are provided, each of which is respectively provided on one side of a functional module; multiple air guide holes (42) are provided on one side of each sealed heat dissipation pipe (41), and the air guide holes (42) are provided facing the heat dissipation fins of the functional module. Multiple blower mechanisms (43) are installed in the cabinet (1), and each blower mechanism (43) is aligned with a sealed heat dissipation pipe (41); the blower mechanism (43) is used to introduce heat dissipation airflow into the sealed heat dissipation pipe (41); And a heat dissipation frequency converter (44), which is installed in the cabinet (1). The blower mechanism (43), the decision mechanism (2) and the power distribution mechanism (3) are all connected to the heat dissipation frequency converter (44) through signal control.

2. The multifunctional integrated industrial equipment control cabinet based on a smart grid according to claim 1, characterized in that: The targeted collaborative heat dissipation actuator (4) also includes multiple pairs of temperature sensors; each pair of temperature sensors is respectively set on the surface of the power device heat sink of the partition function module and at the air guide hole (42) of the sealed heat dissipation pipe (41); and the temperature sensors are connected to the heat dissipation frequency converter (44) through signal control.

3. The multifunctional integrated industrial equipment control cabinet based on a smart grid according to claim 1, characterized in that: The decision-making body (2) includes a control compartment (21), a working condition acquisition controller (22), a two-way communication terminal (23), and a decision processor (24). The control compartment (21) is located in the cabinet (1). The working condition acquisition controller (22), the two-way communication terminal (23), and the decision processor (24) are all located in the control compartment (21). The signal input terminal of the working condition acquisition controller (22) is connected to the communication interface of the main controller of the industrial equipment through a shielded control cable, and is also connected to the main power supply circuit of the industrial equipment through a current transformer and a voltage transmitter. The external communication antenna of the two-way communication terminal (23) is fixed to the outside of the top of the cabinet (1) through a threaded connection. The signal interface of the two-way communication terminal (23) is connected to the smart meter on the grid side and the demand-side response terminal through a shielded power cable, and is also connected to the local energy management system through an Ethernet interface. The decision processor (24) is connected to the working condition acquisition controller (22), the two-way communication terminal (23), the power distribution mechanism (3), and the targeted collaborative heat dissipation actuator (4) through signal control.

4. The multifunctional integrated industrial equipment control cabinet based on a smart grid according to claim 3, characterized in that: The power distribution mechanism (3) includes multiple circuit breakers (31), regulating controllers (32), and backup power supplies (33); the multiple circuit breakers (31), regulating controllers (32), and backup power supplies (33) are all installed in the cabinet (1), and each circuit breaker (31), regulating controller (32), and backup power supply (33) is respectively assigned to an independent partition. The incoming terminal of the circuit breaker (31) is connected to the main incoming bus of the cabinet (1), and the outgoing terminal of the circuit breaker (31) is connected to multiple circuit breakers (31) in the corresponding independent partition. The power supply terminal of the functional module is connected, and the control signal terminal of the circuit breaker (31) is connected to the regulating controller (32); the decision processor (24) and the targeted collaborative heat dissipation actuator (4) are both connected to the regulating controller (32) through signal control; the incoming terminal of the backup power supply (33) is connected to the main incoming bus of the cabinet (1), the outgoing terminal of the backup power supply (33) is connected to the backup power supply terminal of the circuit breaker (31) of each independent zone, and the control signal terminal of the backup power supply (33) is connected to the decision processor (24).

5. A multifunctional integrated industrial equipment control cabinet based on a smart grid according to claim 1, characterized in that: The blower mechanism (43) includes an air collector hood (431), an air duct (434), a fan (435), a motor (436), and an air guide tube (438); the air collector hood (431) is installed in the cabinet (1), and an air collecting chamber (432) is opened inside the air collector hood (431). The air collecting chamber (432) and the inner ring of the air collector hood (431) are connected through an air guide slit (433); an air guide tube (434) is installed on the air collector hood (431), and the interior of the air guide tube (434) is connected to the air collecting chamber (432). The fan (435) is coaxially installed on the air guide tube (438). 434), the motor (436) is installed on the cabinet (1), and the output end of the motor (436) is coaxially connected to the air duct (434); the air duct (434) is provided with multiple air inlets (437); when the motor (436) drives the fan (435) to rotate, outside air is allowed to enter the air duct (434) through the air inlet (437) and be introduced into the air collection chamber (432). After the airflow accumulates in the air collection chamber (432), it is discharged through the air guide seam (433); the air guide tube (438) is set between the air collection cover (431) and the sealed heat dissipation pipe (41).

6. A multifunctional integrated industrial equipment control cabinet based on a smart grid according to claim 5, characterized in that: The cabinet (1) is provided with an auxiliary targeted heat dissipation mechanism (45); the auxiliary targeted heat dissipation mechanism (45) includes multiple vortex tubes (451), a conveying branch (452), a conveying main (453) and an electric control valve (454); each vortex tube (451) is coaxially arranged in a duct (438), the conveying main (453) is arranged in the cabinet (1), and the multiple vortex tubes (451) are connected to the conveying main (453) through the conveying branch (452); the electric control valve (454) is arranged between the conveying branch (452) and the conveying main (453) and is used to control the opening or closing of the multiple vortex tubes (451) and the conveying main (453).

7. A multifunctional integrated industrial equipment control cabinet based on a smart grid according to claim 6, characterized in that: A compressed air tank is provided on one side of the cabinet (1). The compressed air tank is connected to multiple vortex tubes (451) through the main conveying road (453) and the branch conveying road (452).

8. A multi-functional integrated industrial equipment control cabinet based on a smart grid according to claim 5, characterized in that: The targeted collaborative heat dissipation actuator (4) also includes multiple air intake fans (46) installed on the cabinet (1) and used to control the airflow speed and range inside the cabinet (1).

9. A multifunctional integrated industrial equipment control cabinet based on a smart grid according to claim 8, characterized in that: Both the air collecting hood (431) and the air intake fan (46) are equipped with filters (439) to isolate external dust from the inside of the cabinet (1).

10. A multifunctional integrated industrial equipment control cabinet based on a smart grid according to claim 3, characterized in that: The control compartment (21) is equipped with a local data storage and fault alarm device. The local data storage and fault alarm device is connected to the decision processor (24) via signal control. The alarm output terminal is connected to the sound and light alarm device of the cabinet (1) and the main controller of the industrial equipment via a control cable.

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