Heat dissipation control system for distribution network outdoor switch box
By combining an active heat dissipation unit, a humidity control unit, and a multi-parameter sensing and intelligent control unit, the high energy consumption and environmental adaptability issues of outdoor switch boxes are solved, achieving low-carbon, passive, and intelligent heat dissipation and humidity control, improving equipment reliability and reducing costs.
Patent Information
- Application Number
- CN202511562588.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-29
- Publication Date
- 2026-01-16
AI Technical Summary
Traditional outdoor switch boxes have high energy consumption for heat dissipation and humidity control systems, which cannot adapt to complex environmental changes, resulting in low equipment reliability and poor energy efficiency. They are difficult to deploy in areas without electricity, and their general design cannot adapt to the specific environmental challenges of different climate zones.
It employs an active heat dissipation unit, a humidity control unit, and a multi-parameter sensing and intelligent control unit, combined with a self-powered unit and photovoltaic panels, to achieve intelligent heat dissipation and dehumidification through a multi-parameter collaborative control model. It dynamically adjusts to adapt to environmental changes, utilizes low-power devices such as DC fans and semiconductor dehumidifiers, and performs localized optimization through high-precision simulation.
It achieves low-carbon, passive heat dissipation and humidity control throughout the entire process, improves equipment reliability, reduces the total life cycle cost, adapts to environmental changes in different climate zones, improves heat dissipation efficiency by 15%~25%, and reduces ineffective dehumidification energy consumption.
Smart Images
Figure CN121355733A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of outdoor protection technology for power equipment, and in particular to a heat dissipation control system for outdoor switch boxes in power distribution networks. Background Technology
[0002] Traditional outdoor switch boxes often use compressor air conditioners or high-power fans for heat dissipation, relying on external power grids for power supply, resulting in high energy consumption and failing to meet the "dual carbon" target requirements. Deployment in areas without electricity is also difficult. Existing temperature control devices typically start and stop based on a single temperature threshold, exhibiting lag in response and failing to adapt to the complex operating conditions of outdoor solar radiation and drastic changes in ambient temperature and humidity. This easily leads to condensation or excessive dehumidification inside the box, resulting in low equipment reliability and poor energy efficiency. Furthermore, the standardized box structure design is ill-suited to the specific environmental challenges of different climate zones in China (such as humid heat, dry heat, and cold), leading to unstable heat dissipation and anti-condensation effects. Summary of the Invention
[0003] The purpose of this invention is to propose a heat dissipation control system for outdoor switch boxes in power distribution networks, which solves the technical problems of how to achieve low-carbon and passive operation throughout the process, intelligently adapt to sudden environmental changes, and perform localized optimization through high-precision simulation for heat dissipation and humidity control of outdoor switch boxes.
[0004] On the one hand, a heat dissipation control system for outdoor switch boxes in power distribution networks is provided, comprising: An active cooling unit is used to control the active cooling device to actively adjust the airflow in the outdoor switch box of the distribution network through a preset multi-parameter collaborative control model. The active adjustment is to keep the heat dissipation efficiency under unit power consumption within the optimal range. The humidity control unit is used to control the gas state inside the outdoor switch box of the power distribution network by controlling the preset dehumidification device through the generated multi-parameter collaborative control model. The multi-parameter sensing and intelligent control unit is used to collect heat dissipation parameters inside and outside the outdoor switch box of the distribution network in real time, and generate a corresponding multi-parameter collaborative control model based on the collected heat dissipation parameters through a preset optimization algorithm; wherein, the heat dissipation parameters include at least temperature, humidity, solar irradiance and battery energy storage status; the multi-parameter collaborative control model is used to dynamically calculate the optimal heat dissipation and dehumidification strategy.
[0005] Preferably, it also includes, The self-powered unit is used to collect photovoltaic energy through a preset photovoltaic panel and convert it into electrical energy to power the entire system. The entire system includes at least an active heat dissipation unit, a humidity control unit, and a multi-parameter sensing and intelligent control unit. A charging controller is used to control the charging and discharging state of an energy storage battery. Energy storage batteries store excess electrical energy output from self-powered units.
[0006] Preferably, the multi-parameter sensing and intelligent control unit includes at least a controller, which is used to embed the multi-parameter collaborative control model and adjust the heat dissipation and dehumidification strategies within the multi-parameter collaborative control model in real time according to the received heat dissipation parameters.
[0007] Preferably, the multi-parameter sensing and intelligent control unit further includes a sensor array for real-time acquisition of temperature, humidity, solar irradiance, and battery energy storage status inside and outside the box.
[0008] Preferably, the controller is specifically used to dynamically calculate the optimal heat dissipation and dehumidification strategy through an optimization algorithm, taking irradiance, temperature, humidity, and energy storage status as input values, so as to maintain the optimal heat dissipation and dehumidification efficiency in the outdoor switch box of the distribution network under the control of the multi-parameter collaborative control model.
[0009] Preferably, the controller is further configured to determine the corresponding absolute humidity and temperature change trends based on the heat dissipation parameters, determine the real-time condensation risk index based on the absolute humidity and temperature change trends through a preset calculation model, and determine the corresponding risk status based on the condensation risk index and risk assessment threshold standards. When the risk status exceeds the limit, the corresponding dehumidification command is output.
[0010] Preferably, the active cooling device includes at least a DC fan installed on the outdoor switch box of the power distribution network that can operate at a power consumption lower than a preset threshold and a non-powered fan that operates with a specific curvature.
[0011] Preferably, the dehumidification device is a semiconductor dehumidifier or an intermittent fan.
[0012] In summary, implementing the embodiments of the present invention has the following beneficial effects: The heat dissipation control system for outdoor switch boxes in power distribution networks provided by this invention offers a low-carbon, passive system that can intelligently adapt to sudden environmental changes and is optimized locally through high-precision simulation. This system enables the switch box to maintain stable internal thermal and humidity balance for a long time without the need for external power grid supply, significantly improving equipment reliability and reducing total life cycle costs. Attached Figure Description
[0013] To more clearly illustrate the technical solutions in the embodiments of the present invention 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 the present invention. For those skilled in the art, obtaining other drawings based on these drawings without creative effort still falls within the scope of the present invention.
[0014] Figure 1This is a schematic diagram of a heat dissipation control system for an outdoor switch box in a power distribution network, according to an embodiment of the present invention. Detailed Implementation
[0015] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings.
[0016] like Figure 1 The diagram shown is a schematic representation of an embodiment of a heat dissipation control system for an outdoor switch box in a power distribution network provided by the present invention. This embodiment includes: An active cooling unit is used to control an active cooling device to actively adjust the airflow inside the outdoor switch box of the distribution network through a preset multi-parameter collaborative control model. The active adjustment aims to maintain the heat dissipation efficiency within the optimal range under unit power consumption. A humidity control unit is used to control a preset dehumidification device to dehumidify the gas state inside the outdoor switch box of the distribution network through a generated multi-parameter collaborative control model. A multi-parameter sensing and intelligent control unit is used to collect heat dissipation parameters inside and outside the outdoor switch box of the distribution network in real time, and generate a corresponding multi-parameter collaborative control model based on the collected heat dissipation parameters through a preset optimization algorithm. The heat dissipation parameters include at least temperature, humidity, solar irradiance, and battery energy storage status. The multi-parameter collaborative control model is used to dynamically calculate the optimal heat dissipation and dehumidification strategy.
[0017] The self-powered unit collects photovoltaic energy through pre-set photovoltaic panels and converts it into electrical energy to power the entire system. The entire system includes at least an active cooling unit, a humidity control unit, and a multi-parameter sensing and intelligent control unit; a charging controller to control the charging and discharging state of the energy storage battery; and an energy storage battery to store excess electrical energy output from the self-powered unit. The self-powered unit uses high-efficiency monocrystalline silicon photovoltaic panels to provide power to the entire system (including control circuits, sensors, and heat dissipation and dehumidification actuators). An integrated intelligent MPPT charging controller and lithium iron phosphate battery pack ensure a continuous and stable energy supply.
[0018] In one specific embodiment of the present invention, the multi-parameter sensing and intelligent control unit includes at least a controller for embedding the multi-parameter collaborative control model and adjusting the heat dissipation and dehumidification strategies within the multi-parameter collaborative control model in real time based on received heat dissipation parameters. A sensor array is used to collect real-time data on the temperature, humidity, solar irradiance, and battery state of charge (SOC) inside and outside the enclosure. The multi-parameter sensing and intelligent control unit serves as the system's brain, and its core includes: a sensor array for real-time data collection on the temperature, humidity, solar irradiance, and battery state of charge (SOC) inside and outside the enclosure; and a four-dimensional collaborative predictive control model embedded in the controller. This model takes irradiance (G), temperature (T), humidity (H), and SOC as inputs and dynamically calculates the optimal heat dissipation and dehumidification strategies using algorithms (such as machine learning time series prediction) to achieve proactive control.
[0019] The controller is specifically used to dynamically calculate the optimal heat dissipation and dehumidification strategy using an optimization algorithm, taking irradiance, temperature, humidity, and energy storage status as input values, to maintain the optimal heat dissipation and dehumidification efficiency within the outdoor switch box of the distribution network under the control of a multi-parameter collaborative control model. It is also used to determine the corresponding absolute humidity and temperature change trends based on the heat dissipation parameters, and to determine the real-time condensation risk index based on the absolute humidity and temperature change trends using a preset calculation model. Based on the condensation risk index and risk assessment threshold standards, it determines the corresponding risk state; when the risk state exceeds the standard, it outputs the corresponding dehumidification command. A dynamic condensation risk assessment algorithm is used, comprehensively considering parameters such as absolute humidity and temperature change trends, to calculate the real-time condensation risk index, and precise dehumidification is only initiated when the risk exceeds the standard.
[0020] In one embodiment, the active cooling device includes at least a DC fan installed on an outdoor switch box of the power distribution network, capable of operating at power consumption below a preset threshold, and a non-powered fan operating with a specific curvature. The non-powered outdoor switch box incorporates an ultra-low power DC fan and a Coanda effect non-powered outdoor switch box with a specific curvature design. The non-powered top cover of this outdoor box can convert the fan airflow into a wall-attached jet that closely adheres to the surface of the heat-generating elements, greatly improving the heat dissipation efficiency per unit power consumption.
[0021] In one embodiment, the dehumidification device is a semiconductor dehumidifier or an intermittent fan. The low-power semiconductor dehumidifier or intermittent fan's start and stop are determined by a multi-parameter collaborative control model, rather than a single humidity threshold.
[0022] In a specific embodiment, a parametric digital twin model is established: Using multiphysics simulation software such as COMSOL, a solar radiation-heat loss-fluid coupling model is constructed for a typical climate zone in China between 20° and 40° north latitude. Through simulation, parameters such as the photovoltaic panel tilt angle, the curvature of the Coanda non-powered roof guide, and the layout of the heat dissipation channels are scanned and iteratively calculated to find the optimal design combination suitable for the specific climate zone. The optimization results are then solidified into a series of "climate-adaptive components" to guide the precise design and rapid deployment of physical equipment.
[0023] The key advantages of this invention are: Completely low-carbon and passive: Utilizing solar energy for energy self-sufficiency, it completely eliminates dependence on external power grids, achieving zero carbon emissions in operation and allowing deployment in any sunny location. Highly efficient and intelligent: The "GTH-SOC" four-dimensional model enables intelligent linkage and predictive control of heat dissipation and dehumidification, providing rapid response and effectively avoiding overheating and condensation risks. Compared to traditional control methods, heat dissipation efficiency is improved by 15%~25%, and ineffective dehumidification energy consumption is significantly reduced. Strong environmental adaptability: Based on high-precision simulation and localized optimization design, the enclosure structure and control system are optimally matched to the climate characteristics of different regions, fundamentally improving equipment reliability and lifespan. Good economic efficiency: The entire system has no high-energy-consuming components, is simple to maintain, and has a significantly lower total lifespan cost than traditional air conditioning temperature control solutions.
[0024] In summary, implementing the embodiments of the present invention has the following beneficial effects: The heat dissipation control system for outdoor switch boxes in power distribution networks provided by this invention offers a low-carbon, passive system that can intelligently adapt to sudden environmental changes and is optimized locally through high-precision simulation. This system enables the switch box to maintain stable internal thermal and humidity balance for a long time without the need for external power grid supply, significantly improving equipment reliability and reducing total life cycle costs.
[0025] The above description discloses only preferred embodiments of the present invention and should not be construed as limiting the scope of the present invention. Therefore, equivalent variations made in accordance with the claims of the present invention are still within the scope of the present invention.
Claims
1. A heat dissipation control system for a distribution network outdoor switch box, characterized in that, The utility model relates to a kind of outdoor switch cabinet cooling system, including: Active cooling unit, for controlling active cooling device to carry out active adjustment to the airflow in distribution network outdoor switch cabinet by preset multi-parameter collaborative control model, the active adjustment is to keep the heat dissipation efficiency under unit power consumption in optimal range; Humidity control unit, for controlling preset dehumidification device to carry out dehumidification control to the gas state in distribution network outdoor switch cabinet by generated multi-parameter collaborative control model; Multi-parameter sensing and intelligent control unit, for real-time acquisition of heat dissipation parameters inside and outside distribution network outdoor switch cabinet, and generates corresponding multi-parameter collaborative control model by preset optimization algorithm according to the collected heat dissipation parameters;Wherein, the heat dissipation parameters at least include temperature, humidity, solar irradiance and battery energy storage state;The multi-parameter collaborative control model is used to dynamically solve the optimal heat dissipation and dehumidification strategy.
2. The system of claim 1, wherein, Further including, Self-powered unit, for collecting photovoltaic energy by preset photovoltaic panel and converting it into electric energy to power the entire system, wherein the entire system at least includes active cooling unit, humidity control unit and multi-parameter sensing and intelligent control unit; Charging controller, for controlling the charge and discharge state of energy storage battery; Energy storage battery, stores excess electric energy output by self-powered unit.
3. The system of claim 2, wherein, The multi-parameter sensing and intelligent control unit at least includes controller, for embedding the multi-parameter collaborative control model, and real-time adjusting the heat dissipation and dehumidification strategy in the multi-parameter collaborative control model according to the received heat dissipation parameters.
4. The system of claim 3, wherein, The multi-parameter sensing and intelligent control unit further includes sensor array, for real-time acquisition of temperature, humidity, solar irradiance and battery energy storage state inside and outside the box.
5. The system of claim 4, wherein, The controller is specifically used to take irradiance, temperature, humidity and energy storage state as input value, and dynamically solve the optimal heat dissipation and dehumidification strategy by optimization algorithm, to keep the multi-parameter collaborative control model controllable distribution network outdoor switch cabinet in optimal heat dissipation and dehumidification efficiency.
6. The system of claim 5, wherein, The controller is also used to determine the corresponding absolute humidity, temperature change trend according to heat dissipation parameters, and determine real-time condensation risk index according to preset calculation model according to absolute humidity and temperature change trend, determine corresponding risk state according to condensation risk index and risk assessment threshold standard; When the risk state is over standard, output corresponding dehumidification command.
7. The system of claim 1, wherein, The active cooling device at least includes direct-current fan arranged on distribution network outdoor switch cabinet, which can run below preset threshold value power consumption, and unpowered fan running with specific curvature.
8. The system of claim 1, wherein, The dehumidification device is semiconductor dehumidifier or intermittent fan.