Intelligent energy routing system with fault-tolerant capability

Abstract

The invention relates to the technical field of energy management and distribution, and discloses an intelligent energy routing system with fault-tolerant capability, which has strong fault-tolerant capability. The energy acquisition module comprises various units such as a photovoltaic panel and a fan, and is internally provided with a sensor for monitoring parameters such as generated power; the energy storage module is provided with a lithium battery, a super capacitor and the like and is provided with a management and fault detection circuit; the intelligent control unit plans an energy flow by using deep learning according to multiple data, and switches a fault-tolerant mode when a fault occurs; the distribution module has multiple ports and is provided with a power adjusting and isolating device; the communication module hybrid architecture keeps domain smooth connection; a man-machine interaction interface, a borrowing screen, keys and an APP are visually presented, manual intervention can be achieved, priorities can be set, and abnormal automatic alarm can be achieved. The system has the advantages of efficient energy utilization and self-supply improvement, intelligent adaptation and stable operation, strong fault tolerance and supply continuity, convenient interaction and operation and maintenance efficiency improvement.

Description

Technical Field

[0001] The present invention relates to the technical field of energy management and distribution, and in particular to an intelligent energy routing system with fault tolerance capability. Background Art

[0002] With the continuous growth of global energy demand and the widespread popularity of distributed energy resources, building a flexible, efficient and reliable energy management system has become the key. Traditional energy distribution systems are mostly centralized structures that rely on a single energy supply. They have poor adaptability when facing energy fluctuations and equipment failures, which can easily cause power outages and affect the normal operation of production and life.

[0003] At the same time, renewable energy generation is intermittent and uncertain. For example, solar energy is affected by day and night and weather, and wind energy fluctuates with seasons and regional wind speeds. This makes it difficult for traditional power grids to access such energy sources, and wind and solar power are frequently abandoned. Furthermore, modern electronic equipment and industrial production have increasingly stringent requirements for power quality. Voltage drops and fluctuations may damage precision instruments or interrupt production processes.

[0004] In addition, in remote areas or special application scenarios, the stability of energy supply is related to the overall survival of the system. Once the core components fail, maintenance will be inconvenient. The existing energy routing system lacks an effective fault-tolerant mechanism and it is difficult to quickly restore power supply. It urgently needs innovation to adapt to the complex and changing energy structure and electricity demand. Summary of the invention

[0005] In order to solve the above-mentioned problems, the present invention proposes an intelligent energy routing system with fault tolerance.

[0006] In order to solve the above technical problems, the technical solution proposed by the present invention is: an intelligent energy routing system with fault tolerance, comprising:

[0007] Energy collection module, equipped with various types of energy collection units for obtaining energy from different energy sources, the energy collection units at least include solar photovoltaic panel arrays, small wind turbines and thermoelectric conversion devices, and each collection unit has a built-in sensor to monitor the collection performance parameters in real time, the performance parameters include but are not limited to power generation, temperature, voltage and current;

[0008] An energy storage module, connected to the energy collection module, is provided with a plurality of different types of energy storage units, including a lithium-ion battery pack, a supercapacitor and a flywheel energy storage device. Each energy storage unit is equipped with an independent charge and discharge management circuit, which can dynamically adjust the charge and discharge strategy according to the real-time output of the connected energy collection unit and the load demand. At the same time, a built-in fault detection circuit is used to monitor the health status of the energy storage unit in real time, such as internal resistance, capacity attenuation and leakage;

[0009] The intelligent control unit is bidirectionally connected to the energy collection module, energy storage module and energy distribution module, and has a built-in intelligent algorithm chip. Based on the deep learning neural network model, it uses historical energy data, real-time environmental data and load demand forecast data to dynamically plan energy flow paths and distribution plans. It can also automatically switch to a fault-tolerant operation mode when some components fail. The fault-tolerant operation mode reconfigures the energy transmission link based on the pre-stored fault response strategy.

[0010] The energy distribution module has multiple energy output ports for connecting various types of electrical loads. Each port is equipped with an intelligent power regulation device, which can accurately regulate the output power according to the instructions of the intelligent control unit and the real-time power consumption of the load. At the same time, the port is integrated with a fault isolation relay, which quickly cuts off the connection when a short circuit, overload or ground fault of the downstream load is detected to prevent the fault from spreading;

[0011] The communication network module builds a hybrid wired and wireless communication architecture. The wired part uses industrial Ethernet to achieve high-speed and stable data interaction. The wireless part uses low-power Bluetooth, ZigBee and 5G communication modules to ensure flexible access of remote and mobile devices between modules in the system, and realize remote monitoring and control instructions. The communication protocol follows international general standards and customized efficient energy management protocols to ensure the real-time, accuracy and integrity of data transmission;

[0012] The human-computer interaction interface provides a visual operation window through a touch display, physical buttons and mobile terminal applications to display the real-time operating status of the system, including the direction of energy flow, power of each module and health indicators. It allows operators to manually intervene in the energy distribution strategy, set emergency load priorities and view historical operating data logs and fault records. It also has an automatic alarm function to prompt system abnormal conditions through sound and light signals.

[0013] Preferably, the solar photovoltaic panel array of the energy collection module adopts a dual-axis tracking bracket structure that can automatically track the position of the sun, and is equipped with a cleaning robot to regularly remove dust from the surface of the photovoltaic panels. The cleaning robot is independently powered by the energy storage module and can automatically trigger cleaning operations based on the degree of decrease in the power generation efficiency of the photovoltaic panels. Its operation path and operation mode are planned and scheduled by the intelligent control unit.

[0014] Preferably, the lithium-ion battery pack of the energy storage module adopts a modular design, and each module is equipped with an independent battery management system and can be hot-swapped and replaced. When a serious failure occurs in a module, the remaining modules can seamlessly take over all energy storage tasks under the coordination of the intelligent control unit to maintain the continuity of the system energy supply, and the battery management system can balance the voltage of each battery cell in real time to extend the overall service life of the battery pack.

[0015] Preferably, the deep learning neural network model of the intelligent control unit regularly updates weight parameters online, and is connected to a cloud server to utilize cloud big data resources for model training and optimization to adapt to the ever-changing energy environment and load characteristics. At the same time, a local emergency control strategy library is reserved to ensure basic fault-tolerant control functions when the network is interrupted and cannot be updated.

[0016] Preferably, the intelligent power regulation device of the energy distribution module adopts a high-frequency switching converter based on silicon carbide power semiconductors, which has a nanosecond response speed. It can quickly stabilize the output voltage when the load changes suddenly, reducing the impact of voltage fluctuations on sensitive loads, and the converter heat dissipation structure works together with the thermal management system of the energy storage module to improve the heat dissipation efficiency and ensure stable operation in high temperature environments.

[0017] Preferably, the wireless communication part of the communication network module adopts adaptive frequency hopping technology to automatically optimize the communication frequency in a complex electromagnetic interference environment to ensure data transmission reliability. It also has a communication encryption mechanism and uses an asymmetric encryption algorithm to encrypt and transmit key control instructions and system sensitive data to prevent information leakage and malicious tampering.

[0018] Preferably, the human-computer interaction interface supports multi-language switching function to meet the usage needs of operators in different regions, and can automatically adjust the interface layout and display content priority according to user operating habits. The data log storage adopts a distributed file system with redundant backup to prevent data loss due to local storage device failure.

[0019] Compared with the prior art, the present invention has the following advantages:

[0020] Energy efficient utilization and self-sufficiency improvement: Integrate solar energy, wind energy and other multi-source collection, and switch intelligently according to the environment. For example, in the island system, photovoltaic power generation on sunny days and wind turbines complement each other when there is wind, maximizing energy capture, reducing dependence on external networks, significantly increasing self-sufficiency, balancing supply and demand by reducing peak loads and filling valleys, and reducing energy waste.

[0021] Intelligent adaptation and stable operation: Deep learning algorithms make the intelligent control unit an "energy manager". It analyzes load and energy dynamics in real time, distributes power according to the rhythm of life, and adjusts immediately when there are fluctuations, ensuring constant voltage and frequency power supply for key equipment. The system runs as stable as a rock under complex working conditions, and the power quality is worry-free.

[0022] Powerful fault tolerance and supply continuity: From hardware redundancy to software switching, all-round fault tolerance. In the instant of component failure, energy storage seamlessly replaces and backup communication relays. For example, when the emergency vehicle bumps and causes battery abnormalities, key equipment does not shut down. Fault losses are minimized, power outages become imperceptible in seconds, and continuous power supply protects key processes.

[0023] Convenient interaction and increased operation and maintenance efficiency: The human-machine interaction interface is intuitive and friendly, and remote monitoring is free. Operators can remotely control and view logs, and maintainers can quickly locate faults based on push notifications. For example, remote operation and maintenance on islands can be optimized based on satellite communications, which can significantly save manpower and material resources, double operation and maintenance efficiency, and reduce management costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a principle flow chart of an intelligent energy routing system with fault tolerance according to the present invention. DETAILED DESCRIPTION

[0025] The present invention is further described in detail below with reference to the accompanying drawings.

[0026] Example 1

[0027] Small off-grid smart home power supply system

[0028] In the smart home, which is close to daily life, this intelligent energy routing system is cleverly placed on the roof of the house and in open spaces such as the courtyard. On the roof, the solar photovoltaic panel array is neatly spread out, with a rated power of 3kW. It adopts an advanced dual-axis tracking bracket structure that can automatically track the sun's position. Compared with traditional fixed brackets, the daily power generation time can be effectively extended by 2-3 hours, significantly improving the efficiency of solar energy capture. In the courtyard, a small wind turbine stands facing the wind, with a rated power of 500W. It is located in an area with good ventilation, stable airflow and no obvious obstructions. It can be started and operated when a breeze blows, making full use of wind energy resources.

[0029] The collected energy is stored in an orderly manner in a carefully constructed energy storage system, which is composed of a large-capacity lithium-ion battery pack (capacity of 10kWh) and a supercapacitor with high power density (capacitance value of 500F). The lithium-ion battery pack is responsible for basic power storage and continuous power supply, while the supercapacitor, with its fast charging and discharging characteristics, releases energy instantly during peak power consumption or sudden high power demand to ensure voltage stability.

[0030] The intelligent control unit is like the "smart brain" of the home power center, deeply learning the long-term household power consumption data and accurately grasping the power consumption patterns in each period. In the early morning, as the family members get up one after another, it gives priority to supplying sufficient power to various kitchen appliances and the whole house lighting system to meet the needs of breakfast cooking and indoor lighting; in the afternoon when the sun is abundant and the power consumption is low, it quietly charges and stores energy for smart home appliances to reduce electricity costs; when night falls, it focuses on ensuring the stable operation of basic lighting and security monitoring systems to make the home safe and worry-free.

[0031] Imagine that in the hot summer, the continuous high temperature causes the photovoltaic panel power generation efficiency to decrease due to poor heat dissipation, or the fan bearing has a minor fault due to long-term operation. At this time, the system's built-in sensitive fault detection mechanism responds instantly, and the intelligent control unit decisively switches to the battery pack alone power supply mode. Relying on the previous reserve power, it steadily maintains the normal operation of key electrical appliances such as refrigerators and air conditioners to ensure that the comfort of life is not affected in the slightest. At the same time, the human-computer interaction interface pushes detailed fault notifications to the owner's mobile client at the first time, with a fault diagnosis report and preliminary response suggestions. The owner can conveniently arrange cleaning, maintenance or repair matters, and the power supply is seamlessly connected throughout the process, and the smart home life is orderly.

[0032] Example 2

[0033] Island Microgrid Energy Hub

[0034] On an isolated island, this intelligent energy routing system bravely takes on the responsibility of being the core hub of the microgrid and faces the challenges of complex and harsh marine environments. The energy collection module is specially reinforced to resist salt spray erosion and high wind load impact in all directions. In the flat areas along the coastline, large-scale solar photovoltaic panel arrays are laid out in a matrix, with a total power generation capacity soaring to 50kW, fully bathing in the tropical sunshine; on the commanding heights of the island, wind turbines are scattered, with a total rated power of 20kW, capturing strong sea breeze energy.

[0035] The energy storage module is adapted to local conditions. On the basis of lithium-ion battery packs and supercapacitors, it innovatively introduces flywheel energy storage devices. The moment of inertia is carefully adjusted according to the instantaneous high-power power consumption characteristics of the island, perfectly coping with peak load scenarios such as large numbers of fishing boats concentrated in port for charging and emergency power consumption in sudden severe weather.

[0036] The intelligent control unit deeply integrates the laws of island tidal fluctuations and accurate weather forecast information, updates data in real time with the help of satellite communication links, and dynamically optimizes energy dispatch strategies. Desalination equipment, medical assistance stations and other key electricity facilities for people's livelihood are always listed as priority protection objects to ensure that the island residents have a safe freshwater supply and emergency medical treatment is not hindered by electricity.

[0037] The island was hit by a rare storm, with strong winds and heavy rains, which caused serious damage to some photovoltaic panels and interrupted communication lines instantly. At the critical moment, the system's built-in powerful fault-tolerant mechanism was urgently activated, and the energy storage module stepped forward, relying on the instantaneous high-power release of flywheel energy storage and the continuous and stable power supply of the battery pack to fully support the operation of critical loads on the island. After the satellite backup communication link raced against time to restore data transmission, the intelligent control unit immediately reconfigured the energy flow according to the latest push strategy in the cloud, and coordinated the modules to resume normal operation in an orderly manner. After the repair team boarded the emergency ship to the island, they efficiently completed the hardware repair and system debugging within a week. The entire microgrid seamlessly returned to a stable operation state like a phoenix nirvana, and the order of island life quickly returned to normal.

[0038] Example 3

[0039] Mobile Emergency Medical Vehicle Energy Management

[0040] As the frontline of saving lives and healing the wounded, the emergency medical vehicle is equipped with this intelligent energy routing system to become a mobile "life power station". The roof is carefully equipped with a portable foldable solar photovoltaic panel with a rated power of 2kW, which can capture sunlight and convert it into electricity anytime and anywhere; the body is built with a high-efficiency fuel generator (standby power of 3kW) as an emergency energy backup to ensure continuous energy in extreme working conditions. A large-capacity lithium battery pack (capacity of 8kWh) is placed in the core position of the vehicle to build a stable energy storage core.

[0041] The intelligent control unit performs precise power distribution "magic" based on the strict priority of medical equipment related to life maintenance. The moment the surgical shadowless lamp is turned on, the system intelligently allocates power to ensure constant brightness without any flicker; key equipment such as ECG monitors and ventilators are running throughout the process, and the power supply is as stable as Mount Tai, regardless of vehicle bumps and power load fluctuations.

[0042] During an emergency rescue mission, the vehicle was speeding through a rugged mountain road. The violent jolt caused the internal module connection of the battery pack to loosen, and the hidden danger of poor contact suddenly appeared. The fault detection circuit responds in milliseconds, accurately locates the fault location, and then triggers the fault isolation program, decisively cuts off the problematic battery module, and the remaining healthy batteries quickly adjust the power supply strategy and automatically reduce the operation to ensure that life-support equipment does not stop for a moment. The communication module is closely connected to the rear command center in real time through satellite communication, and continuously transmits energy status and vehicle location information. Before arriving at the rescue site, the telemedicine expert team provides detailed prompts based on the human-computer interaction interface, and uses high-definition video connections to remotely guide the on-board technicians to make initial repairs, in order to ensure reliable power throughout the rescue process and save lives, and become a solid power guarantee for wilderness rescue.

[0043] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An intelligent energy routing system with fault tolerance, characterized in that: include: Energy collection module, equipped with various types of energy collection units for obtaining energy from different energy sources, the energy collection units at least include solar photovoltaic panel arrays, small wind turbines and thermoelectric conversion devices, and each collection unit has a built-in sensor to monitor the collection performance parameters in real time, the performance parameters include but are not limited to power generation, temperature, voltage and current; An energy storage module, connected to the energy collection module, is provided with a plurality of different types of energy storage units, including a lithium-ion battery pack, a supercapacitor and a flywheel energy storage device. Each energy storage unit is equipped with an independent charge and discharge management circuit, which can dynamically adjust the charge and discharge strategy according to the real-time output of the connected energy collection unit and the load demand. At the same time, a built-in fault detection circuit is used to monitor the health status of the energy storage unit in real time, such as internal resistance, capacity attenuation and leakage; The intelligent control unit is bidirectionally connected to the energy collection module, energy storage module and energy distribution module, and has a built-in intelligent algorithm chip. Based on the deep learning neural network model, it uses historical energy data, real-time environmental data and load demand forecast data to dynamically plan energy flow paths and distribution plans. It can also automatically switch to a fault-tolerant operation mode when some components fail. The fault-tolerant operation mode reconfigures the energy transmission link based on the pre-stored fault response strategy. The energy distribution module has multiple energy output ports for connecting various types of electrical loads. Each port is equipped with an intelligent power regulation device, which can accurately regulate the output power according to the instructions of the intelligent control unit and the real-time power consumption of the load. At the same time, the port is integrated with a fault isolation relay, which quickly cuts off the connection when a short circuit, overload or ground fault of the downstream load is detected to prevent the fault from spreading; The communication network module builds a hybrid wired and wireless communication architecture. The wired part uses industrial Ethernet to achieve high-speed and stable data interaction. The wireless part uses low-power Bluetooth, ZigBee and 5G communication modules to ensure flexible access of remote and mobile devices between modules in the system, and realize remote monitoring and control instructions. The communication protocol follows international general standards and customized efficient energy management protocols to ensure the real-time, accuracy and integrity of data transmission; The human-computer interaction interface provides a visual operation window through a touch display, physical buttons and mobile terminal applications to display the real-time operating status of the system, including the direction of energy flow, power of each module and health indicators. It allows operators to manually intervene in the energy distribution strategy, set emergency load priorities and view historical operating data logs and fault records. It also has an automatic alarm function to prompt system abnormal conditions through sound and light signals.

2. The intelligent energy routing system with fault tolerance according to claim 1, characterized in that: The solar photovoltaic panel array of the energy collection module adopts a dual-axis tracking bracket structure that can automatically track the position of the sun, and is equipped with a cleaning robot to regularly remove dust from the surface of the photovoltaic panels. The cleaning robot is independently powered by the energy storage module and can automatically trigger cleaning operations based on the degree of decline in the power generation efficiency of the photovoltaic panels. Its operation path and operation mode are planned and scheduled by the intelligent control unit.

3. The intelligent energy routing system with fault tolerance according to claim 1, characterized in that: The lithium-ion battery pack of the energy storage module adopts a modular design. Each module has an independent battery management system and can be hot-swapped and replaced. When a serious failure occurs in a module, the remaining modules can seamlessly take over all energy storage tasks under the coordination of the intelligent control unit to maintain the continuity of the system energy supply. The battery management system can balance the voltage of each battery cell in real time to extend the overall service life of the battery pack.

4. The intelligent energy routing system with fault tolerance according to claim 1, characterized in that: The deep learning neural network model of the intelligent control unit regularly updates weight parameters online, connects to the cloud server, and uses cloud big data resources to perform model training and optimization to adapt to the ever-changing energy environment and load characteristics. At the same time, a local emergency control strategy library is reserved to ensure basic fault-tolerant control functions when the network is interrupted and cannot be updated.

5. The intelligent energy routing system with fault tolerance according to claim 1, characterized in that: The intelligent power regulation device of the energy distribution module adopts a high-frequency switching converter based on silicon carbide power semiconductors, which has a nanosecond response speed. It can quickly stabilize the output voltage when the load changes suddenly, reducing the impact of voltage fluctuations on sensitive loads. The converter heat dissipation structure works together with the thermal management system of the energy storage module to improve heat dissipation efficiency and ensure stable operation in high temperature environments.

6. The intelligent energy routing system with fault tolerance according to claim 1, characterized in that: The wireless communication part of the communication network module adopts adaptive frequency hopping technology to automatically optimize the communication frequency in a complex electromagnetic interference environment to ensure data transmission reliability. It also has a communication encryption mechanism and uses an asymmetric encryption algorithm to encrypt and transmit key control instructions and system sensitive data to prevent information leakage and malicious tampering.

7. The intelligent energy routing system with fault tolerance according to claim 1, characterized in that: The human-computer interaction interface supports multi-language switching function to meet the needs of operators in different regions, and can automatically adjust the interface layout and display content priority according to user operating habits. The data log storage adopts a distributed file system with redundant backup to prevent data loss due to local storage device failure.

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