All-in-One Computers with Touch Screen and Blockchain: The "Double Helix" Evolution in Data Security
Against the backdrop of the accelerated implementation of Industry 4.0 and smart cities, the number of IoT devices is surging at a compound annual growth rate of 23%. However, the traditional IoT architecture, characterized by "centralized data storage + single-protocol communication," is facing security threats such as data tampering, privacy breaches, and device counterfeiting. Blockchain technology, with its decentralized, tamper-proof, and smart contract-enabled automatic execution features, complements the hardware integration capabilities of all-in-one computers with touch screens, reshaping the technological paradigm of data security.
Traditional IoT systems adopt a hierarchical structure of "cloud platform + gateway + terminal devices," with data stored centrally on cloud servers. In 2024, a smart park project experienced a 14-hour outage of 23,000 devices due to a DDoS attack on its cloud service provider, resulting in direct economic losses exceeding RMB 10 million. This single-point failure risk is particularly prominent in critical infrastructure sectors such as energy and transportation.
There are over 30 types of IoT device protocols, with Modbus, IEC 61850, DL/T 645, and others being incompatible with each other, necessitating customized gateways for data collection. In a steel company's energy storage project, the incompatibility between the BMS and PCS protocols forced the deployment of three sets of data conversion equipment, increasing annual maintenance costs by 40% and introducing data interception risks during protocol conversion.
In carbon neutrality scenarios, energy storage systems need to track over 200 dimensions of data in real time, including photovoltaic power generation, grid dispatch, and equipment energy consumption. However, traditional LCA models fail to capture dynamic factors such as battery efficiency decline at high temperatures. A photovoltaic energy storage project recorded a 15% higher carbon emission value in summer than the design value, exposing the limitations of static accounting models.
Blockchain stores data across multiple nodes, requiring attackers to control over 51% of nodes to tamper with data. In a connected vehicle scenario, a new energy vehicle project recorded vehicle driving data on the blockchain, ensuring that even if a single OBD device was compromised, attackers could not modify data across the entire network, providing a trustworthy data source for UBI auto insurance.
Using a public/private key system, IoT device identity credentials are generated as unique key pairs through elliptic curve encryption algorithms. China Mobile Research Institute's blockchain IoT infrastructure project achieved distributed management of device certificates through a consortium blockchain, improving certificate configuration efficiency by 90%, reducing device costs by 30%, and resolving CA interoperability issues in eSIM remote card writing scenarios.
Smart contracts can preset data access rules, automatically triggering permission verification when devices attempt to access sensitive data. A petrochemical company's warehouse receipt pledge project used smart contracts to automatically verify cargo transportation data, combined with real-time monitoring by IoT liquid level gauges, reducing financing disbursement time from weeks to minutes while ensuring commercial confidentiality through zero-knowledge proof technology.
Each data block contains the hash value of the previous block, forming an irreversible chain structure. In agricultural IoT, a project recorded greenhouse environmental data on the blockchain, triggering system alarms immediately when sensor tampering caused hash value changes, ensuring the authenticity and credibility of carbon trading data.
All-in-one computers with touch screens, as core terminals for human-machine interaction, are evolving from single display devices into integrated platforms for "sensing-computing-communication-control." Taking USR-SH800 as an example, its technical architecture deeply integrates blockchain features:
Built-in with over 30 industrial protocol parsing modules, including MQTT, CoAP, and OPC UA, it can seamlessly connect with energy storage devices, photovoltaic inverters, and load-side devices from different manufacturers. A zero-carbon park project achieved unified data collection from over 2,000 sensor nodes through USR-SH800, improving protocol conversion efficiency by 60% compared to traditional gateways.
Equipped with a quad-core ARM Cortex-A55 processor, it can complete data preprocessing and lightweight encryption operations locally. In an industrial energy storage project, USR-SH800 reduced the amount of data uploaded to the blockchain by 70% through edge computing while ensuring key security through a TEE trusted execution environment.
Integrating Secure Boot technology, it verifies firmware integrity during device startup to prevent malicious code injection. After adopting USR-SH800, a new energy vehicle charging station project reduced the success rate of unauthorized firmware flashing attacks to 0.3%, two orders of magnitude lower than traditional devices.
Through its built-in 3D visualization engine, it renders real-time carbon footprint maps of energy storage systems. Red areas represent high-carbon emission devices (e.g., diesel generators), green areas represent carbon absorption units (e.g., photovoltaic arrays), and dynamic arrows show energy flow directions. A manufacturing company optimized its production plan using this feature, reducing unit product carbon emissions by 15%.
After deploying USR-SH800, a 50MW/100MWh energy storage station achieved the following functions:
Real-time collection of battery SOC, temperature, charge/discharge power, and other data, ensuring tamper-proof storage through blockchain
Dynamic calculation of carbon emission intensity through smart contracts, automatically increasing power purchases when grid carbon intensity falls below a threshold
Generation of carbon footprint reports compliant with ISO 14067 standards for carbon trading market compliance
After one year of operation, carbon trading revenue increased by 27%, and equipment failure rates decreased by 40%.
A national-level green park built a "source-grid-load-storage" collaborative control platform through USR-SH800:
After photovoltaic power generation data was uploaded to the blockchain, smart contracts automatically matched energy storage charging strategies, reducing curtailment by 12%
Electric vehicle charging stations dynamically adjusted charging prices based on vehicle carbon credits recorded on the blockchain
Park carbon emissions decreased by 18% in 2024 compared to 2023, achieving the provincial carbon neutrality target three years ahead of schedule
A smart home project achieved the following through USR-SH800:
Linked control of photovoltaic power generation, energy storage batteries, and electric vehicle charging stations
Encrypted home energy consumption data on the blockchain, accessible only to authorized devices
Participation in virtual power plant demand response, earning over RMB 3,000 in annual electricity subsidies
User surveys showed that the system increased home energy self-sufficiency to 65% and reduced carbon emissions by 40% compared to traditional homes.
Large language models will enhance the autonomous optimization capabilities of smart contracts. For example, systems can automatically generate optimal charge/discharge strategies based on historical data and ensure contract security through formal verification. A research institute predicts that by 2027, AI-driven smart contracts will improve energy storage system operational efficiency by 30%.
By constructing digital twin models of energy storage systems, the synergistic effects of different emission reduction measures can be simulated in virtual environments. For example, when testing a "photovoltaic + energy storage + hydrogen" hybrid solution, blockchain ensures the tamper-proof nature of simulation data, providing a decision-making basis for actual deployment.
With the IPWE cross-chain copyright registration platform achieving data interoperability across five public blockchains, including Ethereum and Polkadot, future carbon footprint data from energy storage systems will be able to flow freely across different blockchain networks. This lays the foundation for cross-border carbon trading and green financial product innovation.
The integration of all-in-one computers with touch screens and blockchain is transitioning from "technological experimentation" to "large-scale application." According to market research firm predictions, the global blockchain IoT market will exceed USD 20 billion by 2028, with a compound annual growth rate of 45%. In this transformation, integrated terminals like USR-SH800, equipped with edge computing capabilities, multi-protocol compatibility, and hardware-level security, will become key infrastructure for building a low-carbon smart society. When the carbon footprint of every kilowatt-hour of electricity is traceable, the identity of every device is verifiable, and every transaction is automatically executed, humanity will be one step closer to achieving carbon neutrality.
