Self-adaptive environment temperature control system and application thereof in intelligent low-voltage cabinet

Abstract

The invention relates to the technical field of temperature control of intelligent low-voltage power distribution equipment, in particular to a self-adaptive environment temperature control system and application thereof in an intelligent low-voltage cabinet. By arranging a temperature monitoring unit, an intelligent control unit and a dynamic adjustment execution unit, assisted by a user interaction interface, an energy efficiency management module and a remote monitoring and diagnosis system, compared with the prior art, intelligence of the system is achieved, the system can monitor and analyze the environment temperature inside and outside the intelligent low-voltage cabinet in real time, an adjustment decision is automatically made, and the energy efficiency of the intelligent low-voltage cabinet is improved. Manual intervention is not needed; automation: the system can automatically adjust the internal temperature according to real-time data and timely respond to the rapid change of the environment temperature; high energy efficiency: through intelligent control and dynamic adjustment, the system can maintain an appropriate internal temperature with the lowest energy consumption; user friendliness: the system provides an intuitive user interface, and allows a user to easily set a temperature threshold, monitor a system state and perform manual control when necessary.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature control of intelligent low-voltage power distribution equipment, and in particular to an adaptive environmental temperature control system and an application thereof in an intelligent low-voltage cabinet. Background Art

[0002] Smart low-voltage cabinets are an important part of modern power systems, used to manage and distribute electricity. However, when they face extreme climate conditions, such as hot summers or cold winters, the internal equipment may be damaged. These extreme temperature conditions may cause equipment performance degradation, shortened life, or even failure, thus affecting the stability and reliability of the entire power system. The temperature control solutions currently on the market mainly include:

[0003] 1. Passive cooling systems: These systems typically include heat sinks or natural convection to dissipate heat. However, they lack active regulation capabilities and cannot respond quickly when temperatures rise rapidly.

[0004] 2. Simple temperature control switch: Some systems may include a simple switch based on a temperature sensor to activate the fan when the temperature exceeds a certain threshold. However, these systems are usually slow to respond and cannot adapt to continuous changes in temperature.

[0005] 3. Timing control: Some solutions may use timers to control the switching of fans or other cooling devices, but this cannot guarantee temperature stability during non-timing periods.

[0006] However, these methods all have limitations, such as:

[0007] 1. Lack of intelligence: Most systems are unable to monitor and analyze temperature data in real time, and therefore are unable to make accurate adjustment decisions.

[0008] 2. Lack of automation: Existing systems usually require manual intervention to adjust settings and cannot automatically adapt to changes in ambient temperature.

[0009] 3. Inefficient energy use: Simple on-off controls may result in energy waste because they cannot adjust the cooling intensity according to actual needs.

[0010] 4. Poor user interactivity: Users usually cannot intuitively understand the system status, nor can they personalize it according to their needs.

[0011] Therefore, an adaptive ambient temperature control system is needed in the art to significantly improve the performance and reliability of intelligent low-voltage cabinets under extreme climatic conditions while reducing energy consumption and maintenance costs. Summary of the invention

[0012] In order to overcome the above technical problems, the present invention aims to provide an adaptive environmental control system, comprising:

[0013] Temperature monitoring unit: used to monitor the internal and ambient temperature of the target device;

[0014] Intelligent control unit: used to receive data input from the temperature monitoring unit and perform data processing and analysis to predict the temperature change trend and output temperature control instructions according to the preset temperature threshold;

[0015] Dynamic adjustment execution unit: used to receive the temperature adjustment instructions output by the intelligent control unit, and adjust the working state in real time according to the instructions to adapt to different temperature conditions.

[0016] Furthermore, the dynamic adjustment execution unit includes:

[0017] Variable speed fan system: realize stepless adjustment of fan speed to optimize heat dissipation efficiency;

[0018] Phase change material heat dissipation module: PCM material is used to absorb and release heat during phase change when the temperature changes, smoothing out temperature fluctuations;

[0019] Thermoelectric cooling module: automatically starts at extremely high temperatures for effective cooling.

[0020] Furthermore, the system also includes a user interaction interface for providing real-time information to the user end and realizing manual control.

[0021] Furthermore, the system also includes an energy efficiency management module for providing an automatic optimization temperature control strategy based on the operating status of the equipment, historical energy consumption data and user usage model to minimize energy consumption.

[0022] Furthermore, the system also includes a remote monitoring and diagnosis system for supporting real-time monitoring, fault diagnosis, performance analysis and software updates and allowing remote access by technical support personnel.

[0023] And, the application of the above-mentioned adaptive ambient temperature control system in automatically adjusting the temperature of a target device.

[0024] The second technical solution of the present application discloses an intelligent low-voltage cabinet with adaptive ambient temperature control, including the above-mentioned adaptive ambient temperature control system installed on the low-voltage cabinet.

[0025] The third technical solution of the present application discloses an adaptive environment control method, which adopts the above-mentioned adaptive environment control system and includes the following steps:

[0026] The temperature monitoring unit monitors the internal and ambient temperature changes of the target device and transmits them to the intelligent control unit. The intelligent control unit analyzes the temperature changes, predicts the temperature change trend, and makes adjustment decisions based on the pre-set temperature threshold. The adjustment unit outputs the instructions to the adjustment unit and adjusts the temperature through a variable speed fan, phase change material and thermoelectric cooling.

[0027] Beneficial effects of the present application: Compared with the prior art, the present application realizes the intelligence of the system of the present application by setting a temperature monitoring unit, an intelligent control unit, and a dynamic adjustment execution unit, supplemented by a user interaction interface, an energy efficiency management module, and a remote monitoring and diagnosis system: the system can monitor and analyze the ambient temperature inside and outside the intelligent low-voltage cabinet in real time, and automatically make adjustment decisions without human intervention; Automation: the system can automatically adjust the internal temperature according to real-time data, and respond to rapid changes in ambient temperature in a timely manner; High energy efficiency: through intelligent control and dynamic adjustment, the system can maintain a suitable internal temperature with minimum energy consumption; User-friendly: the system provides an intuitive user interface that allows users to easily set temperature thresholds, monitor system status, and perform manual control when necessary; Remote monitoring and diagnosis: the system supports remote access, which facilitates monitoring, fault diagnosis and maintenance, and improves the reliability and maintenance efficiency of the system. DETAILED DESCRIPTION

[0028] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0029] Unless otherwise specifically stated, the relative arrangement of the parts and steps set forth in these embodiments, numerical expressions and numerical values ​​do not limit the scope of the application. The technology, method and equipment known to those of ordinary skill in the relevant art may not be discussed in detail, but in appropriate cases, the technology, method and equipment should be considered as a part of the authorization specification. In all examples shown and discussed here, any specific value should be interpreted as being merely exemplary, rather than as a limitation. Therefore, other examples of exemplary embodiments may have different values.

[0030] Unless otherwise specified, the meanings of the technical terms in this specification are the same as those generally understood by those skilled in the art. However, if there is any conflict, the definitions in this specification shall prevail.

[0031] The first embodiment of the present application discloses an adaptive environment control system, comprising:

[0032] Temperature monitoring unit: used to monitor the internal and ambient temperature of the target device;

[0033] Intelligent control unit: used to receive data input from the temperature monitoring unit and perform data processing and analysis to predict the temperature change trend and output temperature control instructions according to the preset temperature threshold;

[0034] Dynamic adjustment execution unit: used to receive the temperature adjustment instructions output by the intelligent control unit, and adjust the working state in real time according to the instructions to adapt to different temperature conditions.

[0035] In this embodiment, the temperature monitoring unit includes high-precision, high-sensitivity temperature sensors, which are placed in the internal hot spot area and external environment of the target device to ensure comprehensive temperature monitoring; the temperature sensor data is transmitted to the intelligent control unit in real time through a high-speed, low-latency communication interface.

[0036] The intelligent control unit integrates a high-performance microprocessor or computer system with powerful data processing and analysis capabilities. It is used to receive the temperature change data transmitted by the temperature monitoring unit, and at the same time, through adaptive control algorithms and learning models, it can accurately predict and respond to temperature change trends. And output temperature adjustment instructions based on the prediction results.

[0037] The dynamic adjustment execution unit receives the temperature adjustment instruction issued by the intelligent control unit, and adapts to different temperature conditions by adjusting the working state of different temperature control devices in real time. Specifically, the temperature control device includes:

[0038] Variable speed fan system: It consists of a variable speed fan, which can adjust the fan speed steplessly by controlling the motor to optimize the heat dissipation efficiency and reduce noise;

[0039] Phase change material heat dissipation module: PCM material is used, which absorbs or releases heat during the phase change process, providing additional heat capacity to smooth temperature fluctuations; this module can achieve efficient and long-lasting temperature regulation.

[0040] Thermoelectric cooling module: It starts automatically when extremely high temperature is detected, and effectively cools the target equipment through the Peltier effect to ensure safe operation in high temperature environments.

[0041] In a preferred embodiment of the present application, the system further includes a user interaction interface, which is integrated on the operation panel of the target device or remotely accessed through a mobile application. The interface provides functions such as real-time temperature display, system status monitoring, historical data analysis, temperature threshold setting, and allows the user to manually override automatic control when necessary, meeting the needs of different users and different devices.

[0042] In a preferred embodiment of the present application, the system further includes an energy efficiency management module for providing an automatic optimization temperature control strategy based on the operating status of the equipment, historical energy consumption data, and user usage models to minimize energy consumption.

[0043] In a preferred embodiment of the present application, the system further comprises a remote monitoring and diagnostic system for supporting real-time monitoring, fault diagnosis, performance analysis and software updates and allowing remote access by technical support personnel.

[0044] And, according to the application of the above-mentioned adaptive ambient temperature control system in automatically adjusting the temperature of the target device; the specific application method is:

[0045] S1. Install temperature monitoring units (temperature sensors and data output devices) at key locations of target equipment that require temperature control, such as the air inlet, air outlet, cable connection area, and hot spots in the cabinet, to accurately measure, record, and output temperature data, ensuring that the system can fully monitor the internal and external environment of the equipment;

[0046] S2. The temperature data output by the temperature sensor is transmitted to the intelligent control unit via a wired (such as RS-485 bus) or wireless (such as Wi-Fi or Bluetooth) output device. The selected communication method should ensure the reliability and real-time performance of data transmission.

[0047] S3. Data analysis and decision-making: After receiving the temperature data, the intelligent control unit uses built-in algorithms (such as fuzzy logic, neural networks or machine learning algorithms) to analyze and predict the temperature change trend, and make adjustment decisions based on the temperature thresholds and system energy efficiency targets set in advance by the user.

[0048] S4. Based on the decision of the intelligent control unit, the dynamic adjustment execution unit automatically adjusts the working state. For example, when the internal temperature rises, the variable speed fan system speeds up and the PCM cooling module starts to absorb heat. If the temperature continues to rise, the thermoelectric cooling module starts to provide additional cooling.

[0049] S5. User Interaction: Users can monitor system status in real time through an intuitive user interface, including temperature readings, equipment operating status, and energy consumption data. Users can also set temperature thresholds, adjust control parameters, or manually override the automatic control system as needed.

[0050] S6. Energy efficiency optimization: The energy efficiency management module continuously analyzes the system's operating data, learns the user's operating habits and environmental changes, and automatically adjusts the control strategy to optimize energy consumption. For example, the system can reduce the fan speed during off-peak hours or adjust the working mode of the thermoelectric cooling module.

[0051] S7. Remote monitoring and maintenance: The remote monitoring and diagnostic system allows technical support personnel to remotely access the temperature control system of the intelligent low-voltage cabinet through a secure network connection. Technicians can monitor the system status in real time, perform fault diagnosis, update system software, or remotely adjust the control strategy when necessary.

[0052] S8. System integration and testing: Integrate all components (temperature monitoring unit, intelligent control unit, dynamic adjustment execution unit, user interaction interface, energy efficiency management module and remote monitoring and diagnosis system) into the intelligent low-voltage cabinet, and conduct comprehensive system testing to ensure that all functions work properly and work in unison.

[0053] S9. User training and documentation: Provide users with detailed operation manuals and maintenance guides, including guidance on system configuration, troubleshooting, and performance monitoring. At the same time, provide training and technical support to ensure that users can fully utilize the functions of the system.

[0054] S10. Continuous Improvement: Based on user feedback and system operation data, continuously optimize system performance, update control algorithms, improve user interfaces, and enhance the functions of remote monitoring and diagnostic systems.

[0055] The following will take the intelligent low-voltage cabinet as an example to explain in detail the working method of the adaptive ambient temperature control system described in this application.

[0056] Example 1

[0057] S1. System composition and unit settings

[0058] (1) Temperature monitoring unit: Install high-precision, high-sensitivity temperature sensors and data output devices at key locations such as the air inlet, air outlet, cable connection area, and hot spots in the intelligent low-voltage cabinet. The PT100 temperature sensor has a measurement accuracy of ±0.15°C and can accurately sense temperature changes and transmit data to the intelligent control unit in real time via the RS-485 bus.

[0059] (2) Intelligent control unit: It uses a high-performance microprocessor, such as the ARM Cortex-M4 series chip, which has powerful data processing capabilities and a built-in fuzzy logic control algorithm. It can accurately predict the temperature change trend based on the data transmitted by the temperature monitoring unit, and make adjustment decisions based on the temperature threshold set by the user, and transmit the decision to the dynamic adjustment execution unit.

[0060] (3) Dynamic adjustment unit:

[0061] Variable speed fan system: It is composed of multiple variable speed fans. The fan motor adopts a brushless DC motor, which can achieve stepless speed adjustment through PWM (pulse width modulation) signal. The speed range is 500-3000rpm.

[0062] Phase change material heat dissipation module: PCM material with a phase change temperature of 30℃-35℃ and a phase change latent heat of about 200kJ / kg is selected to effectively smooth temperature fluctuations.

[0063] Thermoelectric cooling module: It starts automatically when the temperature reaches 50°C and uses the Peltier effect for cooling, with a maximum cooling power of up to 100W.

[0064] (4) User interaction interface: It is integrated into the operation panel of the intelligent low-voltage cabinet and is a 7-inch color touch screen. The interface displays real-time temperature curves (using different color lines to display temperature changes in different areas of the cabinet), system operation status (fan speed, thermoelectric cooling module working status, etc.), historical temperature data (temperature changes in the past week can be queried), and energy consumption statistics charts (energy consumption data is displayed by day, week, and month). Users can set temperature thresholds through the touch screen, for example, setting the upper limit of the temperature to 40°C and the lower limit to 10°C. They can also manually adjust the fan speed or turn on / off the thermoelectric cooling module.

[0065] (5) Energy efficiency management module: records the operating status information such as the operating time and load rate of the intelligent low-voltage cabinet, as well as historical energy consumption data. By analyzing the user's demand for temperature control in different time periods (such as weekdays, nights, weekends, etc.), the temperature control strategy is automatically optimized. For example, when the load is low and the ambient temperature is low at night, the fan speed is appropriately reduced to reduce energy consumption.

[0066] (6) Remote monitoring and diagnostic system: By connecting to the enterprise internal network through the Ethernet interface, technical support personnel can use dedicated software to remotely access the temperature control system of the intelligent low-voltage cabinet. The software interface displays real-time temperature, system operating parameters, fault alarm information, etc., and can remotely update the control algorithm and system software.

[0067] S2. System adaptive ambient temperature control process:

[0068] (1) Initial state: Assume that the ambient temperature of the intelligent low-voltage cabinet is 25°C, the equipment in the cabinet is operating normally, the temperature monitoring unit monitors the temperature in real time, the intelligent control unit is in standby state, the variable speed fan runs at the minimum speed of 500 rpm, the phase change material heat dissipation module is in normal state, and the thermoelectric cooling module is not started. The user interaction interface shows that the current temperature is 25°C, the system is operating normally, and the energy consumption is at a low level.

[0069] (2) Temperature rise stage: As the ambient temperature rises and the load of equipment in the cabinet increases, the temperature in the cabinet gradually rises. When the temperature reaches 35°C (close to the upper limit of 40°C set by the user), the temperature monitoring unit transmits the data to the intelligent control unit. After analyzing the data, the intelligent control unit determines that the temperature has a trend of continuing to rise based on the built-in algorithm, and sends a command to the variable speed fan system to increase the fan speed to 1500rpm to enhance the heat dissipation effect. At this time, the fan speed display on the user interaction interface changes to 1500rpm, and the temperature curve shows a trend of rising temperature, but it is still within the controllable range.

[0070] (3) High temperature response stage: If the ambient temperature continues to rise and the temperature inside the cabinet reaches 42°C, the intelligent control unit analyzes the data again and determines that fan heat dissipation alone can no longer meet the demand, so it starts the thermoelectric cooling module. At the same time, the variable speed fan speed is further increased to 2500rpm, and the phase change material heat dissipation module also absorbs heat with all its strength. The status of the thermoelectric cooling module on the user interface is displayed as "on", the temperature curve shows that the temperature rise trend slows down, and the energy consumption data begins to increase.

[0071] (4) Temperature drop phase: After a period of cooling and heat dissipation, the temperature inside the cabinet begins to drop. When the temperature drops to 38°C, the intelligent control unit gradually reduces the fan speed to 1500 rpm based on the temperature change trend and the pre-set strategy, and keeps the thermoelectric cooling module running for a period of time to ensure that the temperature drops steadily. The temperature curve on the user interface shows that the temperature is dropping, and the fan speed is reduced accordingly.

[0072] (5) Normal recovery stage: When the temperature inside the cabinet drops below 30°C, the intelligent control unit determines that the system has returned to normal, turns off the thermoelectric cooling module, adjusts the fan speed back to the minimum speed of 500 rpm, and the phase change material heat dissipation module returns to normal. The user interface shows that the system status has returned to normal and the energy consumption has dropped to the initial level.

[0073] Throughout the process, the energy efficiency management module continuously records and analyzes system operation data, and automatically optimizes the temperature control strategy according to changes in ambient temperature and equipment load. For example, during the temperature drop, if it is judged that the ambient temperature is low at night and the equipment load is small, the fan speed will be reduced in advance to further reduce energy consumption. The remote monitoring and diagnosis system transmits system status information to the technical support center in real time, and technicians can check the system operation status at any time. If an abnormality is found, remote diagnosis and processing can be carried out in time.

[0074] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by a technician familiar with the technical field within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention.

Claims

1. An adaptive environmental control system, characterized in that: include: Temperature monitoring unit: used to monitor the internal and ambient temperature of the target device; Intelligent control unit: used to receive data input from the temperature monitoring unit and perform data processing and analysis to predict the temperature change trend and output temperature adjustment instructions according to the preset temperature threshold; Dynamic adjustment execution unit: used to receive the temperature adjustment instructions output by the intelligent control unit, and adjust the working state in real time according to the instructions to adapt to different temperature conditions.

2. The adaptive environmental control system according to claim 1, characterized in that: The dynamic adjustment execution unit comprises: Variable speed fan system: realize stepless adjustment of fan speed to optimize heat dissipation efficiency; Phase change material heat dissipation module: PCM material is used to absorb and release heat during phase change when the temperature changes, smoothing out temperature fluctuations; Thermoelectric cooling module: automatically starts at extremely high temperatures for effective cooling.

3. The adaptive environmental control system according to claim 1, characterized in that: The system also includes a user interaction interface, which is used to provide real-time information to the user end and realize manual control.

4. The adaptive environmental control system according to claim 1, characterized in that: The system also includes an energy efficiency management module for providing an automatic optimization temperature control strategy based on the operating status of the equipment, historical energy consumption data and user usage models to minimize energy consumption.

5. The adaptive environmental control system according to claim 1, characterized in that: The system also includes a remote monitoring and diagnostic system for supporting real-time monitoring, fault diagnosis, performance analysis and software updates and allowing remote access by technical support personnel.

6. Application of the adaptive ambient temperature control system according to any one of claims 1 to 5 in automatically adjusting the temperature of a target device.

7. An intelligent low-voltage cabinet with adaptive ambient temperature control, characterized in that: It comprises an adaptive ambient temperature control system as described in any one of claims 1 to 5 installed on a low-voltage cabinet.

8. An adaptive environmental control method, characterized in that: The adaptive environmental control system according to any one of claims 1 to 5 comprises the following steps: a temperature monitoring unit monitors the temperature changes inside the target device and in the environment, and transmits the temperature changes to an intelligent control unit; the intelligent control unit analyzes the temperature changes, predicts the temperature change trends, and makes adjustment decisions based on preset temperature thresholds, and outputs the decisions to the adjustment unit; the adjustment unit receives the instructions and adjusts the temperature through a variable speed fan, phase change materials, and thermoelectric cooling.