An ice rink maintenance apparatus, method and associated equipment

Abstract

The application discloses an ice rink maintenance device, method and related equipment thereof. The device comprises a carrier body, a wireless communication module arranged in the carrier body, an edge computing server connected with the wireless communication module, an ice rink maintenance module arranged on the carrier body and connected with the edge computing server, used for performing ice rink maintenance work according to the decision instruction, an energy management module connected with the edge computing server and the wireless communication module, the energy management module being a wind-solar-storage integrated system, comprising a solar power generation unit, a wind power generation unit and an energy storage unit, the energy management module being configured to adjust the output of the solar power generation unit and the wind power generation unit and the charging and discharging strategy between the lithium battery and the hydrogen energy storage tank according to the decision instruction generated by the edge computing server based on energy demand and supply analysis, and a block chain node used for data notarization.

Description

Technical Field

[0001] This application relates to the fields of Internet of Things, edge computing, and blockchain, and in particular to an ice rink maintenance device, method, and related equipment. Background Technology

[0002] With the rapid development of the ice and snow sports industry, ice rink maintenance and management technology has become an important research direction for ensuring the quality of ice sports venues. Existing technologies mainly construct the technical framework for multifunctional ice rink vehicles from two dimensions: mechanical function realization and intelligent control. By integrating various mechanical modules such as sweeping, spraying, and leveling, the efficiency of ice surface management is improved.

[0003] Meanwhile, with the development of emerging technologies such as 5G communication, edge computing, and quantum encryption in recent years, technological achievements in related fields have begun to emerge. For example, CN117793797A discloses an edge cloud networking architecture and service system based on 5G NR-U for photovoltaic sites. It provides computing resources for the computing tasks of photovoltaic sites through a mobile edge computing platform and generates task offloading strategies with the goal of minimizing system latency and terminal energy consumption. However, this solution mainly focuses on optimizing communication and computing tasks in photovoltaic scenarios. Its architecture and algorithm do not consider the automated maintenance needs of the special environment of ice rinks, nor does it involve the autonomous management of integrated wind, solar, and energy storage systems. Summary of the Invention

[0004] This application provides an ice rink maintenance device, method, and related equipment to overcome the problems of existing ice rink maintenance devices having limited functions, high energy dependence, poor data security, and inability to achieve autonomous operation and maintenance in extreme environments without external energy supply and public network communication guarantees.

[0005] Firstly, an ice rink maintenance device is provided. It includes: Vehicle body; A wireless communication module is disposed within the vehicle body and is used to enable communication between the device and an external system; An edge computing server, located within the vehicle body and connected to the wireless communication module, is used to perform energy demand and supply analysis and generate decision instructions. An ice rink maintenance module is installed on the vehicle body and connected to the edge computing server, used to execute ice rink maintenance operations according to the decision instructions; An energy management module, mounted on the vehicle body and connected to the edge computing server and the wireless communication module, is an integrated wind-solar-storage system, including a solar power generation unit, a wind power generation unit, and an energy storage unit. The energy storage unit includes a lithium battery and a hydrogen storage tank. The energy management module is configured to adjust the output of the solar power generation unit and the wind power generation unit, as well as the charging and discharging strategy between the lithium battery and the hydrogen storage tank, based on decision instructions generated by the edge computing server based on energy demand and supply analysis, to achieve multi-energy complementary power supply. A blockchain node, located within the vehicle body, is connected to the edge computing server and the wireless communication module, and is used to store evidence of the data generated by the device.

[0006] Based on the device described in the first aspect, a wireless communication module enables communication between the device and external systems, and an edge computing server performs energy demand and supply analysis and generates decision commands, enabling the device to have local intelligent decision-making capabilities. An ice rink maintenance module connected to the edge computing server can automatically execute ice rink maintenance operations according to the decision commands, achieving automation of maintenance work. An integrated wind-solar-storage energy management module, including a solar power generation unit, a wind power generation unit, and an energy storage unit composed of lithium batteries and hydrogen storage tanks, is configured to adjust the output of the solar power generation unit and the wind power generation unit, as well as the charging and discharging strategies between the lithium batteries and the hydrogen storage tanks, according to the decision commands generated by the edge computing server based on energy demand and supply analysis, achieving multi-energy complementary power supply, thus enabling the device to maintain operation autonomously without external energy replenishment. A blockchain node connected to the edge computing server and the wireless communication module stores the data generated by the device, ensuring the authenticity and immutability of the data. Therefore, this application solves the technical problems of existing ice rink maintenance devices having single functions, strong energy dependence and poor data security, and realizes integrated intelligent operation of ice rink maintenance devices in extreme environments, multi-energy autonomous power supply and reliable data storage.

[0007] In a second aspect, an ice rink maintenance method is provided, characterized in that the method is applied to the ice rink maintenance device described in the first aspect, comprising: Ice thickness data of the ice rink is collected through an ice thickness detection unit; The ice thickness data is sent to the edge computing server; The edge computing server generates pouring control commands or ice-breaking control commands based on the ice thickness data. The pouring control command is sent to the intelligent pouring unit, or the ice-breaking control command is sent to the ice-breaking unit; The intelligent pouring unit performs the pouring operation according to the pouring control command, or the ice-breaking unit performs the ice-breaking operation according to the ice-breaking control command.

[0008] Thirdly, an electronic device is provided, comprising: a processor, a memory, and a bus, wherein the memory stores machine-readable instructions executable by the processor, the processor communicates with the memory via the bus, and the machine-readable instructions, when executed by the processor, perform the steps of the method described in the second aspect.

[0009] Fourthly, a computer-readable storage medium storing a computer program is provided, which, when executed by a processor, causes the processor to perform the steps of the method described in the second aspect.

[0010] Fifthly, a computer program product is provided, the computer program product storing instructions that, when executed by a computer, cause the computer to perform the steps in the method described in the second aspect. Attached Figure Description

[0011] Figure 1 A schematic diagram of the structure of an ice rink maintenance device provided as an exemplary embodiment of this application; Figure 2 A flowchart illustrating an ice rink maintenance method provided as an exemplary embodiment of this application; Figure 3 This is a schematic diagram of the structure of an electronic device provided as an exemplary embodiment of this application. Detailed Implementation

[0012] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The specific operating methods in the method embodiments can also be applied to the device embodiments or system embodiments. In the description of this application, unless otherwise stated, "multiple" means two or more.

[0013] In the various embodiments of this application, unless otherwise specified or in case of logical conflict, the terminology and / or descriptions of different embodiments are consistent and can be referenced by each other. The technical features of different embodiments can be combined to form new embodiments according to their inherent logical relationship.

[0014] It is understood that the various numerical designations used in this application are merely for descriptive convenience and are not intended to limit the scope of this application. The order of the process numbers does not imply the order of execution; the execution order of each process should be determined by its function and internal logic.

[0015] The terms "first," "second," "third," "fourth," and other various terminology (if present) in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a particular order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in a sequence other than that illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0016] To facilitate understanding of the embodiments of this application, the terminology involved in the embodiments of this application will be briefly explained below.

[0017] Huawei 5G CPE Pro2: It adopts Huawei 5G CPE Pro 2 communication module, supports multi-band 5G communication and dual-band Wi-Fi, and has remote control, multi-device connection and edge computing functions to realize high-speed, low-latency communication between the vehicle and the ice rink monitoring center.

[0018] Huawei Atlas 500: Employs Huawei Atlas 500 edge computing servers, supporting heterogeneous computing and various computing frameworks (such as TensorFlow and PyTorch), for analyzing ice rink maintenance, energy management, and emergency communication data, and generating intelligent decisions.

[0019] PID Algorithm: The intelligent pouring unit based on the proportional-integral-derivative (PID) control algorithm adjusts the temperature and humidity during the pouring process through feedback to ensure stable ice layer quality and improve maintenance efficiency.

[0020] HyperledgerFabric: A node system built using the Hyperledger Fabric blockchain framework. It is used to ensure the secure and immutable storage of device operation data and emergency communication events, and supports the automatic execution of smart contracts to improve the level of system automation.

[0021] Integrated wind, solar, and energy storage: refers to an integrated energy management module that combines solar energy, wind energy, and energy storage systems (including lithium batteries and hydrogen energy), which can achieve efficient energy utilization and self-sufficiency, and improve the environmental performance and range of vehicles.

[0022] As described in the background section, existing technologies lack sufficient automated maintenance functions in ice rink environments, and lack precise monitoring and intelligent pouring control of ice thickness; emergency communication support capabilities are weak, making it difficult to achieve reliable 5G communication and edge computing support in disaster scenarios; energy management methods are simplistic and cannot meet the autonomous management needs of the ice and snow industry for integrated wind, solar, and energy storage systems; at the same time, the security and reliability of data are not fully guaranteed, which limits the technical issues that restrict the improvement of the system's intelligence level.

[0023] Based on this, this application proposes an ice rink maintenance device. It achieves communication between the device and external systems through a wireless communication module, and uses an edge computing server to analyze energy demand and supply and generate decision commands, enabling the device to have local intelligent decision-making capabilities. An ice rink maintenance module connected to the edge computing server can automatically execute ice rink maintenance operations according to the decision commands, achieving automation of maintenance work. An integrated wind-solar-storage energy management module is included, comprising a solar power generation unit, a wind power generation unit, and an energy storage unit consisting of a lithium battery and a hydrogen storage tank. This energy management module adjusts the output of the solar and wind power generation units, as well as the charging and discharging strategies between the lithium battery and the hydrogen storage tank, based on the decision commands generated by the edge computing server based on energy demand and supply analysis, achieving multi-energy complementary power supply. This allows the device to maintain operation autonomously even without external energy replenishment. A blockchain node connected to the edge computing server and the wireless communication module stores the data generated by the device, ensuring the authenticity and immutability of the data. Therefore, this application solves the technical problems of existing ice rink maintenance devices having single functions, strong energy dependence and poor data security, and realizes integrated intelligent operation of ice rink maintenance devices in extreme environments, multi-energy autonomous power supply and reliable data storage.

[0024] Figure 1 This is a schematic diagram of the structure of an ice rink maintenance device provided in an embodiment of this application. Figure 1 As shown, the device includes: Vehicle body 101; The wireless communication module 102 is installed inside the carrier body 101 and is used to enable communication between the device and external systems. An edge computing server 103 is installed inside the vehicle body 101 and connected to a wireless communication module to perform energy demand and supply analysis and generate decision instructions. The ice rink maintenance module 104 is installed on the vehicle body 101 and connected to the edge computing server 103. It is used to execute ice rink maintenance operations according to decision instructions. An energy management module 105, mounted on the vehicle body 101, is connected to an edge computing server 103 and a wireless communication module 102. The energy management module 105 is an integrated wind-solar-storage system, including a solar power generation unit, a wind power generation unit, and an energy storage unit. The energy storage unit includes a lithium battery and a hydrogen storage tank. The energy management module 105 is configured to adjust the output of the solar power generation unit and the wind power generation unit, as well as the charging and discharging strategies between the lithium battery and the hydrogen storage tank, based on decision instructions generated by the edge computing server 103 according to energy demand and supply analysis, to achieve multi-energy complementary power supply. Blockchain node 106 is installed inside the vehicle body 101 and connected to edge computing server 103 and wireless communication module 102, and is used to store evidence of the data generated by the device.

[0025] In some implementations, the vehicle body is constructed from high-strength aluminum alloy, with overall dimensions of 3 meters long, 2 meters wide, and 1.5 meters high, to meet the space requirements of ice rink operations. The vehicle chassis features an all-terrain design, equipped with a four-wheel drive system and anti-skid tires to enhance stability and maneuverability under various ice surface conditions. The vehicle's internal layout includes a driver's cab, maintenance equipment compartment, energy management module compartment, and emergency communication equipment compartment, with clearly defined functional areas for easy operation and maintenance.

[0026] The cockpit is equipped with an advanced driver assistance system, including an automatic driving module, control panel, and display screen, enabling intelligent control and operation. The maintenance equipment compartment houses an ice thickness detection unit, an intelligent pouring unit, and an ice-breaking unit. The ice thickness detection unit uses a 5MHz ultrasonic sensor with an accuracy of 0.1mm, collecting and transmitting ice thickness information to an edge computing server for analysis and processing via a data acquisition module. The intelligent pouring unit employs a PID control algorithm, combined with temperature and humidity sensors, to precisely regulate the pouring process, ensuring stable ice quality. The ice-breaking unit is hydraulically driven, equipped with a high-pressure water gun and ice-breaking blades, and integrates temperature and pressure sensors to monitor key parameters during the ice-breaking process.

[0027] The energy management module houses an integrated wind-solar-storage energy management module, comprising a monocrystalline silicon solar panel (22% conversion efficiency, 2000W power), a small wind turbine (30% conversion efficiency, 1000W power), and a complementary energy storage system consisting of a lithium battery (100Ah capacity) and a hydrogen storage tank (100L capacity). This system supports monitoring and intelligent scheduling, automatically adjusting the output power of the solar panel and wind turbine according to actual energy demand to achieve efficient energy utilization. Simultaneously, the system features data encryption and secure transmission capabilities, ensuring the security and privacy of energy management data.

[0028] In some implementations, the output power Psolar panel of the energy management module is calculated using the formula Psolar panel = η × A × G, where η is the conversion efficiency, A is the area of ​​the solar panel, and G is the solar radiation intensity; the output power Pwind turbine of the wind turbine is calculated using the formula Pwind turbine = 0.5 × ρ × A × v³ × Cp, where ρ is the air density, A is the blade area, v is the wind speed, and Cp is the wind turbine efficiency coefficient; and the energy storage E of the energy storage system is calculated using the formula E = V × I × t, where V is the voltage, I is the current, and t is the time.

[0029] The emergency communication equipment compartment is equipped with a wireless communication module, an edge computing server, and a blockchain node. The wireless communication module uses a Huawei 5G CPE Pro 2, supporting 5G SA / NSA dual-mode and multi-band communication, providing high-speed and low-latency data transmission capabilities. It can simultaneously connect multiple sensors and devices to achieve data collection and transmission. The edge computing server uses a Huawei Atlas 500, equipped with ARM and x86 architecture processors, 256GB of memory, and a 1TB SSD. It supports mainstream computing frameworks such as TensorFlow and PyTorch for energy demand and supply analysis and intelligent decision generation. The blockchain node is built on the Hyperledger Fabric framework, equipped with 128GB of memory and a 2TB SSD. It supports data storage and immutability verification, ensures data integrity through the SHA-256 hash function, and supports smart contract execution, improving the system's automation level.

[0030] The modules mentioned above achieve efficient collaboration with the edge computing server through wireless communication modules, and combined with the data storage and security mechanisms of blockchain nodes, they form a multi-functional intelligent system that integrates ice rink operation and maintenance, emergency communication and energy management.

[0031] In some implementations, the wireless communication module uses Huawei 5G CPE Pro 2, supporting 5G SA / NSA dual-mode and compatible with multiple frequency bands such as n1, n3, n7, n8, n28, n77, n78, and n79 to ensure high-speed and low-latency communication performance. Simultaneously, this communication module supports 2.4GHz and 5GHz dual-band Wi-Fi, enabling wireless connectivity between devices within the vehicle. This module is integrated into the vehicle's emergency communication equipment compartment, working in conjunction with edge computing servers and blockchain nodes.

[0032] This wireless communication module supports remote control and data transmission, enabling it to transmit data collected by the vehicle, including ice thickness detection data, intelligent pouring unit operating status, ice-breaking unit operation information, and energy management module data, to the ice rink monitoring center for remote monitoring and management. Furthermore, the communication module supports multi-device connectivity, allowing simultaneous access to multiple sensors and actuators, such as ultrasonic sensors, temperature sensors, humidity sensors, and pressure sensors, to facilitate data acquisition and transmission.

[0033] Furthermore, this communication module possesses edge computing capabilities, enabling preprocessing and analysis of some data within the vehicle, reducing reliance on cloud computing, thereby lowering data transmission latency and improving response speed. For example, during ice thickness detection, data collected by ultrasonic sensors can be rapidly transmitted via the wireless communication module to an edge computing server for analysis, generating an ice thickness distribution map and feeding it back to the cockpit display screen to assist operators in making decisions.

[0034] Meanwhile, the wireless communication module also collaborates with blockchain nodes to encrypt key operational events, equipment operating status, and maintenance records using hash algorithms and store them on the blockchain, ensuring data immutability and security. Through smart contract mechanisms, specific tasks can be executed automatically, such as triggering the start of the intelligent pouring unit or sending early warning information to the monitoring center when the ice thickness is detected to be below a safe threshold.

[0035] In some implementations, the edge computing server uses the Huawei Atlas 500 model, which supports heterogeneous computing architecture and is equipped with ARM and x86 processors to achieve high-performance computing capabilities. The server is configured with 256GB of memory and a 1TB SSD to ensure efficient data processing and storage. The server supports multiple computing frameworks, including TensorFlow and PyTorch, enabling flexible execution of machine learning model training and inference tasks.

[0036] The main functions of the edge computing server include energy demand and supply analysis, intelligent decision support, and secure data transmission. Specifically, the server can analyze and process ice thickness monitoring data collected by the ice rink maintenance module, temperature and humidity data from the intelligent pouring unit, pressure and temperature data from the icebreaking unit, and wind, solar, and energy storage operation status data from the energy management module, and generate corresponding maintenance plans or emergency response schemes. Furthermore, the server supports data-driven intelligent decision-making, such as automatically adjusting pouring parameters or optimizing icebreaking paths based on changes in ice thickness.

[0037] In terms of data security, the edge computing server integrates data encryption and secure transmission mechanisms to ensure that all data uploaded to the server via the 5G communication module is encrypted and uses security protocols during transmission to prevent data leakage or tampering. Simultaneously, the server collaborates with blockchain nodes to record critical operation logs, device operating status information, and emergency events on the blockchain. Utilizing the Hyperledger Fabric framework, the server achieves data immutability and traceability, further enhancing the overall security and reliability of the system.

[0038] In some exemplary embodiments, the ice rink maintenance module 104 includes: Ice thickness detection unit is used to collect ice thickness data and send it to the edge computing server; The intelligent pouring unit is used to receive pouring control commands generated by the edge computing server based on ice thickness data and execute the pouring operation; and, The ice-breaking unit is used to receive ice-breaking control commands generated by the edge computing server 103 and execute ice-breaking operations.

[0039] The ice rink maintenance module 104 is the core execution unit for realizing automated ice rink maintenance. Among its components, the ice thickness detection unit is a device that uses ultrasonic sensors to measure ice thickness non-contactly. Ultrasonic waves have a stable propagation speed in ice; by measuring the round-trip time of the ultrasonic wave from transmission to reception, combined with the speed of sound in the ice, the ice thickness can be accurately calculated. The intelligent pouring unit is a system that uses a PID (proportional-integral-derivative) control algorithm to perform closed-loop regulation of water volume and temperature during the pouring process, ensuring stable ice quality through feedback control. The ice-breaking unit is a hydraulically driven mechanical actuator equipped with a high-pressure water gun and ice-breaking blades for efficiently breaking up the ice surface.

[0040] As an example, the ice thickness detection unit uses a 5MHz ultrasonic sensor with a measurement accuracy of 0.1mm. It acquires ice thickness information through a data acquisition module and transmits the data to an edge computing server for analysis via a wireless communication module. The intelligent pouring unit employs a PID control algorithm. The system is equipped with temperature and humidity sensors to monitor temperature and humidity parameters in the pouring environment and feed these parameters back to the control system. The PID algorithm adjusts the pouring parameters to ensure consistent and stable pouring results. The ice-breaking unit uses a hydraulic drive system and is equipped with a high-pressure water gun and ice-breaking blades. It integrates temperature and pressure sensors to monitor temperature and pressure changes during the ice-breaking process, ensuring the safety and effectiveness of the operation.

[0041] In some implementations, the ice thickness detection unit collects ice thickness data using an ultrasonic sensor. The propagation speed v of the ultrasonic wave in the ice is determined according to the physical properties of the ice, and t is the round-trip time of the ultrasonic wave. The ice thickness d is calculated according to the formula d=v×t / 2, thereby achieving high-precision ice thickness detection.

[0042] In some implementations, the intelligent casting unit uses a PID control algorithm to precisely control the casting process, where u(t) is the control signal, Kp, Ki, and Kd are the proportional coefficient, integral coefficient, and derivative coefficient, respectively, and e(t) is the error signal. The casting parameters are adjusted according to the formula u(t)=Kp×e(t)+Ki×∫e(t)dt+Kd×de(t) / dt to ensure stable ice layer quality.

[0043] Through the collaborative work of the above modules, the automation and intelligence of ice rink maintenance are realized: the ice thickness detection unit collects ice layer data and uploads it to the edge computing server. The server analyzes the data according to the preset algorithm and generates pouring or ice-breaking instructions. The intelligent pouring unit performs precise pouring operations according to the instructions, and the ice-breaking unit performs efficient ice-breaking operations according to the instructions, thereby effectively reducing labor costs and improving maintenance efficiency.

[0044] In some exemplary embodiments, the intelligent pouring unit employs a PID control algorithm and is equipped with temperature and humidity sensors for feedback and control during the pouring process.

[0045] The intelligent pouring unit refers to a system that uses a PID (proportional-integral-derivative) control algorithm and its equipped temperature and humidity sensors to perform closed-loop regulation of water volume and temperature during the pouring process, ensuring stable ice quality through real-time feedback control.

[0046] The above modules enable the automation and intelligence of ice rink maintenance: the ice thickness detection device collects ice data in real time and uploads it to the edge computing server. The server analyzes the data according to a preset algorithm and generates pouring or ice-breaking instructions. The intelligent pouring system performs precise pouring operations according to the instructions, and the ice-breaking device performs efficient ice-breaking operations according to the instructions, thereby effectively reducing labor costs and improving maintenance efficiency.

[0047] In some exemplary embodiments, the wireless communication module works in conjunction with the edge computing server to quickly establish an emergency communication network as a temporary base station in disaster scenarios where public network infrastructure is paralyzed.

[0048] In some implementations, the wireless communication module 102 works in conjunction with the edge computing server 103 to support the rapid establishment of emergency communication networks in disaster scenarios, providing information support for rescue command and improving emergency response speed and efficiency. The 5G communication module supports 5G SA / NSA dual-mode, covering multiple frequency bands, and also supports 2.4GHz and 5GHz dual-band Wi-Fi, enabling multi-device connections and high-speed, low-latency data transmission. The edge computing server 103 has heterogeneous computing capabilities, supports multiple computing frameworks such as TensorFlow and PyTorch, and can analyze ice rink maintenance data, energy management data, and emergency communication data to generate intelligent decision-making solutions.

[0049] In some implementations, the wireless communication module 102 works in conjunction with the edge computing server 103 to provide emergency communication support in disaster scenarios. Specifically, the wireless communication module 102 acts as a temporary base station, meaning that when public network infrastructure fails, the wireless communication module 102 can switch to a self-organizing network mode to provide temporary communication coverage to the surrounding area. Establishing an emergency communication network refers to the rapid construction of a communication link independent of the public network through the collaborative work of the wireless communication module 102 and the edge computing server 103, used to transmit rescue command information.

[0050] As an example, the wireless communication module 102 adopts a 5G communication module, supports 5G SA / NSA dual-mode, and is compatible with multiple frequency bands such as n1, n3, n7, n8, n28, n77, n78, and n79. It also supports dual-band Wi-Fi at 2.4GHz and 5GHz, enabling multi-device connectivity and high-speed, low-latency data transmission. The edge computing server possesses heterogeneous computing capabilities and supports multiple computing frameworks such as TensorFlow and PyTorch. When a public network infrastructure failure is detected, the wireless communication module 102 and the edge computing server 103 work together. The wireless communication module 102 acts as a temporary base station to quickly establish an emergency communication network, while the edge computing server 103 analyzes the emergency communication data and generates an emergency response plan, which is then sent to an external rescue command system via the wireless communication module 102.

[0051] Using the methods described above, an emergency communication network can be quickly established in disaster scenarios, providing real-time information support for rescue command and thus greatly improving the speed and efficiency of emergency response.

[0052] The energy management module 105 adopts an integrated wind-solar-storage design to achieve multi-energy complementary power supply and autonomous energy management. The integrated wind-solar-storage system refers to integrating solar power generation units, wind power generation units, and energy storage units into a unified energy system, realizing the comprehensive utilization of renewable energy sources such as solar and wind power. Lithium batteries and hydrogen storage tanks constitute complementary energy storage units; lithium batteries are suitable for short-term high-power demand scenarios, while hydrogen storage tanks are suitable for long-term energy storage and emergency power supply scenarios. The configuration to adjust based on decision instructions generated by the edge computing server means that the energy management module can receive decision instructions generated by the edge computing server based on energy demand and supply analysis, and adjust the output power of each power generation unit and the charging and discharging strategy of the energy storage unit accordingly.

[0053] As an example, the solar power generation unit uses monocrystalline silicon solar panels with a conversion efficiency of 22% and a power output of 2000W; the wind power generation unit uses a small wind turbine with a conversion efficiency of 30% and a power output of 1000W; the energy storage unit includes a 100Ah lithium battery and a 100L hydrogen storage tank. The energy management module 105 has monitoring and management functions, capable of monitoring the operating status of the solar panels, wind turbine, and energy storage system, including key parameters such as voltage, current, and temperature, and transmitting the data to the edge computing server 103 for analysis and processing via the wireless communication module 102. The edge computing server 103 generates energy decision instructions based on energy demand and supply analysis. The energy management module 105 adjusts the output power of the solar power generation unit and the wind power generation unit according to these instructions, and also adjusts the charging and discharging strategies between the lithium battery and the hydrogen storage tank.

[0054] The energy management module 105 enables efficient utilization of renewable energy sources such as solar and wind power, and enhances the vehicle's energy self-sufficiency and environmental performance through a lithium battery and hydrogen energy complementary power supply mode.

[0055] In some exemplary embodiments, the blockchain node 106 is built on the Hyperledger Fabric framework and is used to perform hash operations on the operating data of the ice rink maintenance module 104, the status data of the energy management module 105, and the emergency communication event data, and then store them on the blockchain, and trigger tasks through deployed smart contracts.

[0056] In some implementations, blockchain node 106 is used for trusted storage and automated task triggering of data generated by the device. Specifically, building upon the Hyperledger Fabric framework refers to using a consortium / private blockchain architecture, distinct from public blockchains, and suitable for enterprise-level application scenarios; storing data on the blockchain after hashing means generating hash values ​​from the original data using hash algorithms such as SHA-256, and storing these hash values ​​on the blockchain. Due to the one-way and collision-resistant nature of hash algorithms, any tampering with the original data will result in inconsistent hash values, thus achieving tamper-proof data storage; and triggering tasks through deployed smart contracts means deploying pre-defined business rules on the blockchain in the form of smart contracts. When specific conditions are met, the smart contracts automatically execute the corresponding tasks.

[0057] As an example, blockchain node 106 is equipped with 128GB of memory and a 2TB SSD, supporting data storage and tamper-proof verification. This node is deployed in the emergency communication equipment compartment inside the vehicle body 101, working in conjunction with the wireless communication module 102, the edge computing server 103, and various sensor devices. Blockchain node 106 acquires operational data from the ice rink maintenance module, status data from the energy management module 105, and emergency communication event data. It then performs a hash operation on the data using the SHA-256 hash function to generate hash values, which are stored on the blockchain. Simultaneously, blockchain node 106 supports smart contract functionality, enabling it to automatically execute tasks according to preset rules. For example, it can trigger the activation of the intelligent pouring unit when the ice thickness is detected to be below a safety threshold, or automatically adjust the operating strategy of the integrated wind-solar-storage system when an energy system anomaly is detected.

[0058] Through the aforementioned blockchain node 106, the immutable storage of equipment operation data and emergency communication events was achieved, ensuring the authenticity and transparency of the data. Furthermore, the system's automation level was improved by enabling automated task triggering through smart contracts.

[0059] The ice rink maintenance device provided in this application embodiment enables communication between the device and external systems through a wireless communication module, and an edge computing server to perform energy demand and supply analysis and generate decision commands, giving the device local intelligent decision-making capabilities. By setting up an ice rink maintenance module connected to the edge computing server, it can automatically execute ice rink maintenance operations according to the decision commands, achieving automation of maintenance work. By setting up a wind-solar-storage integrated energy management module, including a solar power generation unit, a wind power generation unit, and an energy storage unit composed of lithium batteries and a hydrogen storage tank, and configuring the energy management module to adjust the output of the solar power generation unit and the wind power generation unit, as well as the charging and discharging strategies between the lithium battery and the hydrogen storage tank, based on the decision commands generated by the edge computing server based on energy demand and supply analysis, multi-energy complementary power supply is achieved, enabling the device to maintain operation autonomously without external energy supply. By setting up a blockchain node connected to the edge computing server and the wireless communication module, the data generated by the device is stored to ensure the authenticity and immutability of the data. Therefore, this application solves the technical problems of existing ice rink maintenance devices having single functions, strong energy dependence and poor data security, and realizes integrated intelligent operation of ice rink maintenance devices in extreme environments, multi-energy autonomous power supply and reliable data storage.

[0060] Figure 2 This is a schematic diagram illustrating the implementation process of the ice rink maintenance method provided in this application embodiment. Figure 2 The method shown is applied to Figure 1 Ice rink maintenance equipment, such as Figure 2 As shown, the method includes: Step 210: Collect ice thickness data of the ice rink through the ice thickness detection unit and send the ice thickness data to the edge computing server.

[0061] Step 220: The edge computing server generates pouring control commands or ice-breaking control commands based on the ice thickness data.

[0062] Step 230: Send the pouring control command to the intelligent pouring unit, or send the ice-breaking control command to the ice-breaking unit.

[0063] Step 240: The intelligent pouring unit performs the pouring operation according to the pouring control command, or the ice-breaking unit performs the ice-breaking operation according to the ice-breaking control command.

[0064] In some exemplary embodiments, to achieve intelligent management of multi-energy complementary power supply, the method provided in this application further includes: The operational status data of solar power generation units, wind power generation units, and energy storage units are obtained through edge computing servers. Energy demand and supply analysis is performed based on operational status data by edge computing servers to generate energy decision-making instructions. The energy management module adjusts the output power of the solar power generation unit and the wind power generation unit according to energy decision instructions, as well as the charging and discharging strategy between the lithium battery and the hydrogen storage tank.

[0065] The process involves several key aspects: First, the edge computing server acquires operational status data from solar power generation units, wind power generation units, and energy storage units. This means the edge computing server collects real-time operational parameters such as voltage, current, temperature, power generation, and energy storage capacity of each energy unit via a wireless communication module. Second, the edge computing server performs energy demand and supply analysis based on the operational status data and generates energy dispatch instructions. This means the edge computing server calculates the optimal energy allocation scheme and generates energy decision instructions based on current energy demand, the real-time power generation capacity of each power generation unit, and the remaining capacity of the energy storage unit using a preset optimization algorithm. Third, the energy management system adjusts the output power of the solar power generation units and wind power generation units according to the energy decision instructions. This means that after receiving the dispatch instructions, the energy management system adjusts the output power of the power generation units by adjusting the maximum power point tracking (MPPT) parameters of the solar panels and the pitch or yaw mechanism of the wind turbines. Fourth, the energy management system adjusts the charging and discharging strategy between the lithium battery and the hydrogen storage tank according to the energy decision instructions. This means that the energy management system dynamically determines the charging and discharging timing of the lithium battery and the energy supply timing of the hydrogen storage tank based on the dispatch instructions, achieving complementary power supply between the two energy storage methods.

[0066] As an example, the edge computing server acquires real-time operational status data from solar power generation units, wind power generation units, and energy storage units, including the real-time output power of solar panels, the real-time output power of wind turbines, the remaining charge and charge / discharge status of lithium batteries, and the remaining capacity of hydrogen storage tanks. Based on real-time energy demand and supply analysis, the edge computing server generates energy dispatch instructions according to the following principles: prioritizing the use of renewable energy sources such as solar and wind power; when renewable energy is insufficient, prioritizing the use of lithium batteries for short-term high-power supply; and when the lithium battery charge falls below a preset threshold, activating the hydrogen storage tank for long-term power supply. The energy management system dynamically adjusts the output power of the solar power generation units and wind power generation units according to these dispatch instructions, and dynamically adjusts the charging and discharging strategies between the lithium batteries and hydrogen storage tanks.

[0067] The above methods enable intelligent scheduling of multi-energy systems, improve the utilization rate of renewable energy, and enhance the energy self-sufficiency and environmental performance of the equipment.

[0068] In some exemplary embodiments, to rapidly establish an emergency communication network in disaster scenarios, the method provided in this application further includes: When a public network infrastructure failure is detected, the wireless communication module will be used as a temporary base station to establish an emergency communication network. Emergency communication data from the emergency communication network is analyzed by an edge computing server to generate an emergency response plan; The emergency response plan is sent to the external rescue command system via a wireless communication module.

[0069] Specifically, when a public network infrastructure failure is detected, the wireless communication module determines whether public network communication is interrupted through heartbeat detection or network status monitoring mechanisms. The collaboration between the wireless communication module and the edge computing server refers to the establishment of an internal collaborative mechanism, with the edge computing server responsible for data analysis and decision generation, and the wireless communication module responsible for establishing and maintaining communication links. The wireless communication module acting as a temporary base station to establish an emergency communication network means that the wireless communication module switches to self-organizing network mode to provide temporary communication coverage for the surrounding area and establish an emergency communication link independent of the public network. The edge computing server performing real-time analysis of emergency communication data and generating emergency response plans means that the edge computing server performs real-time analysis of data uploaded by devices connected to the emergency communication network, including rescue requests, personnel locations, and environmental parameters, to generate the optimal emergency response plan. Sending the emergency response plan to the external rescue command system via the wireless communication module means transmitting the generated emergency response plan to the rescue command center through the wireless communication module to provide information support for command and decision-making.

[0070] As an example, the wireless communication module monitors the public network connection status in real time through a heartbeat detection mechanism. When multiple consecutive heartbeat timeouts occur, it determines that the public network infrastructure is paralyzed and immediately triggers the emergency communication mode. The wireless communication module works in conjunction with the edge computing server, switching to a self-organizing network mode to establish an emergency communication network as a temporary base station, providing communication access for rescue equipment in the surrounding area. The edge computing server performs real-time analysis of emergency communication data uploaded by devices connected to the emergency communication network, including personnel location data within the ice rink, environmental monitoring data, and rescue request information. Based on a pre-set emergency plan, it generates an emergency response plan, including personnel evacuation routes and rescue force deployment plans. The generated emergency response plan is then sent to the external rescue command system via the wireless communication module.

[0071] The above methods enable the rapid establishment of emergency communication networks in disaster scenarios where public networks are paralyzed, providing real-time information support for rescue command and significantly improving the speed and efficiency of emergency response.

[0072] In some exemplary embodiments, to achieve reliable recording of device operation data and automated task triggering, the method provided in this application further includes: The system obtains operational data from the ice rink maintenance module, status data from the energy management module, and emergency communication data through blockchain nodes. Hash operations are performed on the operating data of the ice rink maintenance module, the status data of the energy management module, and the emergency communication data to generate hash values; Store hash values ​​on the blockchain; Based on the mapping relationship between the hash value specified in the preset rules and the preset task, the preset task is triggered through the smart contract.

[0073] Specifically, the process of blockchain nodes acquiring operational data from the ice rink maintenance module, status data from the energy management system, and emergency communication event data refers to the blockchain nodes collecting key data requiring storage from various functional modules via the device's internal data bus. Hash operations on the data to generate hash values ​​involve using the SHA-256 hash algorithm to perform hash operations on the original data, generating fixed-length hash values. Due to the one-way and collision-resistant nature of hash algorithms, any minor modification to the original data will result in a completely different hash value. Storing the hash values ​​on the blockchain means writing the generated hash values ​​as transaction data into blockchain blocks. Due to the chain structure and consensus mechanism of the blockchain, the stored data cannot be tampered with. Automatically triggering corresponding tasks through smart contracts according to preset rules means deploying preset business rules in the form of smart contract code on the blockchain. When specific conditions specified in the preset rules are met, the smart contract is automatically invoked and executed without manual intervention.

[0074] As an example, the blockchain nodes are built on the Hyperledger Fabric framework and configured with 128GB of memory and 2TB of SSD hard drive. The blockchain nodes acquire real-time operational data from the ice rink maintenance module (including ice thickness detection results, pouring operation records, and icebreaking operation records), energy management system status data (including power generation records, energy storage capacity records, and charging / discharging records), and emergency communication event data (including emergency network establishment records and rescue information transmission records). The collected data is hashed using the SHA-256 hash function to generate hash values, which are then written as transaction data into the blockchain blocks. Due to the blockchain's chain structure and consensus mechanism, the written data cannot be tampered with. Simultaneously, smart contracts are deployed on the blockchain with preset rules including: automatically triggering the intelligent pouring system when the ice thickness falls below a safety threshold; automatically triggering the power switch of the hydrogen storage tank when the lithium battery power falls below a preset threshold; and automatically recording event information and triggering an alarm when an emergency communication event is detected.

[0075] The above methods enable secure storage and tamper-proof recording of equipment operation data and emergency communication events, ensuring data authenticity and transparency. Furthermore, smart contracts facilitate automated task triggering, thereby improving the system's automation level.

[0076] Figure 2 The ice rink maintenance method shown can achieve Figure 1 The implementation method of the ice rink maintenance device shown and its corresponding technical effects will not be described in detail here.

[0077] Figure 3 This is a schematic diagram of the structure of an electronic device provided as an exemplary embodiment of this application. For example... Figure 3 As shown, the device includes a memory 31 and a processor 32.

[0078] Memory 31 is used to store computer programs and can be configured to store various other data to support operation on the computing device. Examples of this data include instructions for any application or method operating on the computing device, contact data, phone book data, messages, images, videos, etc.

[0079] The processor 32, coupled to the memory 31, is used to execute the computer program in the memory 31 for: collecting ice thickness data of the ice rink through the ice thickness detection unit and sending the ice thickness data to the edge computing server; generating pouring control instructions or ice-breaking control instructions through the edge computing server based on the ice thickness data; sending the pouring control instructions to the intelligent pouring unit or the ice-breaking control instructions to the ice-breaking unit; and executing the pouring operation through the intelligent pouring unit based on the pouring control instructions or executing the ice-breaking operation through the ice-breaking control instructions.

[0080] Furthermore, such as Figure 3 As shown, the electronic device also includes other components such as a communication component 33, a display 34, a power supply component 35, and an audio component 36. Figure 3 The diagram only shows some components and does not mean that the electronic device includes only these components. Figure 3 The components shown. Additionally, depending on the implementation of the traffic playback device, Figure 3 The components within the dashed box are optional, not mandatory. For example, when an electronic device is implemented as a terminal device such as a smartphone, tablet, or desktop computer, it may include... Figure 3 The components within the dashed box; when the electronic device is implemented as a server-side device such as a conventional server, cloud server, data center, or server array, it may be excluded. Figure 3 The component within the dashed box.

[0081] The above Figure 3The communication component is configured to facilitate wired or wireless communication between the device containing the communication component and other devices. The device containing the communication component can access wireless networks based on communication standards, such as WiFi, 2G, or 3G, or combinations thereof. In one exemplary embodiment, the communication component receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component may further include a Near Field Communication (NFC) module, Radio Frequency Identification (RFID) technology, Infrared Data Association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, etc.

[0082] The above Figure 3 The memory in the memory can be implemented by any class of volatile or non-volatile storage devices or combinations thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0083] The above Figure 3 The display includes a screen, which may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touchscreen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors can sense not only the boundaries of the touch or swipe action, but also the duration and pressure associated with the touch or swipe operation.

[0084] The above Figure 3 The power supply component provides power to the various components of the device in which it resides. The power supply component may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the device in which it resides.

[0085] The above Figure 3 The audio component can be configured to output and / or input audio signals. For example, the audio component includes a microphone (MIC) configured to receive external audio signals when the device containing the audio component is in an operating mode, such as call mode, recording mode, or voice recognition mode. The received audio signals can be further stored in memory or transmitted via a communication component. In some embodiments, the audio component also includes a speaker for outputting audio signals.

[0086] Accordingly, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to implement the steps in the above-described method embodiments.

[0087] Accordingly, this application also provides a computer program product, which stores instructions that, when executed by a computer, cause the computer to perform the steps in the method embodiments provided in this application.

[0088] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0089] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0090] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0091] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0092] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0093] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0094] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other classes of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0095] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0096] The above description is merely an embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of this application should be included within the scope of the claims of this application.

Claims

1. An ice rink maintenance device, characterized in that, include: Vehicle body; A wireless communication module is disposed within the vehicle body and is used to enable communication between the device and an external system; An edge computing server, located within the vehicle body and connected to the wireless communication module, is used to perform energy demand and supply analysis and generate decision instructions. An ice rink maintenance module is installed on the vehicle body and connected to the edge computing server, used to execute ice rink maintenance operations according to the decision instructions; An energy management module, mounted on the vehicle body and connected to the edge computing server and the wireless communication module, is an integrated wind-solar-storage system, including a solar power generation unit, a wind power generation unit, and an energy storage unit. The energy storage unit includes a lithium battery and a hydrogen storage tank. The energy management module is configured to adjust the output of the solar power generation unit and the wind power generation unit, as well as the charging and discharging strategy between the lithium battery and the hydrogen storage tank, based on decision instructions generated by the edge computing server based on energy demand and supply analysis, to achieve multi-energy complementary power supply. A blockchain node, located within the vehicle body, is connected to the edge computing server and the wireless communication module, and is used to store evidence of the data generated by the device.

2. The apparatus according to claim 1, characterized in that, The ice rink maintenance module includes: An ice thickness detection unit is used to collect ice thickness data and send it to the edge computing server; The intelligent pouring unit is used to receive pouring control commands generated by the edge computing server based on the ice thickness data, and to execute the pouring operation; and The ice-breaking unit is used to receive ice-breaking control commands generated by the edge computing server and execute ice-breaking operations.

3. The apparatus according to claim 2, characterized in that, The intelligent pouring unit adopts a PID control algorithm and is equipped with temperature and humidity sensors for feedback and control during the pouring process.

4. The apparatus according to claim 1, characterized in that, The wireless communication module works in conjunction with the edge computing server to establish an emergency communication network in disaster scenarios where public network infrastructure is paralyzed.

5. The apparatus according to claim 1, characterized in that, The blockchain node is built on the Hyperledger Fabric framework and is used to perform hash operations on the operation data of the ice rink maintenance module, the status data of the energy management module, and the emergency communication event data, and then store them on the blockchain. The task is triggered through deployed smart contracts.

6. A method for maintaining an ice rink, characterized in that, The method is applied to the ice rink maintenance device according to any one of claims 1 to 5, comprising: Ice thickness data of the ice rink is collected by the ice thickness detection unit and sent to the edge computing server. The edge computing server generates pouring control commands or ice-breaking control commands based on the ice thickness data. The pouring control command is sent to the intelligent pouring unit, or the ice-breaking control command is sent to the ice-breaking unit; The intelligent pouring unit performs the pouring operation according to the pouring control command, or the ice-breaking unit performs the ice-breaking operation according to the ice-breaking control command.

7. The method according to claim 6, characterized in that, The method further includes: The edge computing server acquires operational status data of the solar power generation unit, wind power generation unit, and energy storage unit. The edge computing server performs energy demand and supply analysis based on the operational status data and generates energy decision instructions. The energy management module adjusts the output power of the solar power generation unit and the wind power generation unit, as well as the charging and discharging strategy between the lithium battery and the hydrogen storage tank, according to the energy decision instructions.

8. The method according to claim 6, characterized in that, The method further includes: When a public network infrastructure failure is detected, the wireless communication module will be used as a temporary base station to establish an emergency communication network. The edge computing server analyzes the emergency communication data of the emergency communication network to generate an emergency response plan. The emergency response plan is sent to the external rescue command system via the wireless communication module.

9. The method according to claim 6, characterized in that, The method further includes: The operation data of the ice rink maintenance module, the status data of the energy management module, and emergency communication data are obtained through the blockchain node. The operating data of the ice rink maintenance module, the status data of the energy management module, and the emergency communication data are hashed to generate hash values; The hash value is stored on the blockchain; Based on the mapping relationship between the hash value and the preset task specified in the preset rules, the preset task is triggered through a smart contract.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the method as described in any one of claims 6 to 9.

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