Electric power supply matching asset management system based on Internet of Things

Abstract

The invention discloses a power supply matching asset management system based on the Internet of Things. The system comprises an equipment management module, an intelligent contract execution module, a maintenance and task scheduling module, an asset evaluation and depreciation calculation module, an energy efficiency management module and an accessory purchasing module. The equipment management module automatically tracks equipment information; the intelligent contract execution module automatically processes an asset management task, deploys and executes the asset management task by adopting a Solidiity or specific block chain platform, and ensures transparency and non-tampering; the maintenance and task scheduling module automatically triggers a maintenance process and intelligently schedules tasks; the asset evaluation and depreciation calculation module dynamically evaluates the equipment value; the energy efficiency management module analyzes equipment energy efficiency and generates an optimization scheme; and the accessory purchasing module automatically purchases. The system integrates an Internet of Things sensor, an intelligent contract and a block chain technology, realizes comprehensive management of electric power supply matching assets, improves asset management efficiency, reduces human intervention, reduces transaction cost, realizes energy conservation and emission reduction, and provides reliable support for asset management and investment decision.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply supporting asset management, and particularly to an Internet of Things-based power supply supporting asset management system. Background Art

[0002] In modern power systems, the management and maintenance of supporting assets (such as transformers, circuit breakers, generators, etc.) are key links to ensure the stability and safety of power supply. However, the existing power supply supporting asset management systems have the following main defects: Low asset management efficiency: Traditional asset management systems usually rely on manual records and regular inspections. This method has a high risk of errors and cannot grasp the operating status of equipment in real time. For example, the maintenance cycle, service life, and repair records of equipment are often stored in paper documents or simple spreadsheets, lacking unified management and dynamic updates.

[0003] Lag in equipment fault handling: In the existing technology, equipment faults usually start to be processed only after being discovered by users or maintenance personnel, and real-time monitoring and early warning of faults cannot be achieved. Due to the lack of the ability to predict fault modes, more serious problems may occur during the operation of equipment due to untimely maintenance.

[0004] Lack of targeted energy efficiency management: Currently, most asset management systems can only provide basic energy consumption statistical data, cannot deeply analyze the energy efficiency performance of equipment, and cannot generate targeted optimization plans based on the analysis results. This lack of targeted management mode is prone to cause resource waste.

[0005] Transparent procurement and settlement processes: The procurement and settlement of accessories required for equipment maintenance often involve high manual intervention, with opaque processes and prone to human errors, increasing management costs and transaction risks.

[0006] Lack of integrated application of advanced technologies: Although Internet of Things technology, blockchain technology, and smart contracts have developed in their respective fields, the existing systems lack the organic integration and application of these technologies and are difficult to exert their synergistic advantages. For example, the transparency and immutability of blockchain technology have not been fully applied to equipment information tracking and contract execution. Summary of the Invention

[0007] The purpose of this part is to outline some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this part, as well as in the abstract and title of the present application, to avoid obscuring the purpose of this part, the abstract, and the title, and such simplifications or omissions shall not be used to limit the scope of the present invention.

[0008] Therefore, to solve the above technical problems, the present invention provides the following technical solutions: An Internet of Things-based power supply supporting asset management system integrates Internet of Things sensors, smart contracts, and blockchain technology into the power supply supporting asset management system, achieving automatic tracking of device information, automated execution of smart contracts, fault detection, maintenance task scheduling, energy efficiency optimization, and device asset evaluation; The system includes a device management module, a smart contract execution module, a maintenance and task scheduling module, an asset evaluation and depreciation calculation module, an energy efficiency management module, and a device maintenance parts procurement module; among which: The device management module automatically tracks information such as the operation, maintenance, depreciation, and replacement of devices through Internet of Things sensors, smart contracts, and blockchain technology; The smart contract execution module automatically processes all tasks related to asset management, reducing human intervention and improving the automation level; the smart contract execution module includes a contract generation unit, a contract verification unit, and a contract scheduling unit. Among them, the contract generation unit generates corresponding smart contracts according to conditions such as device leasing, maintenance, and energy efficiency, and automatically executes contract terms (such as device lease expiration, maintenance cost settlement, energy efficiency optimization, etc.); among them, the smart contract is written in the Solidity programming language or deployed and executed using a specific blockchain platform (such as Ethereum, Hyperledger Fabric, etc.); the contract verification unit realizes the execution verification of the contract through blockchain technology and uses a consensus mechanism (such as Proof of Stake, Proof of Work) for verification to ensure that the execution process of the contract is transparent and tamper-proof; the contract scheduling unit introduces a predictive analysis method and analyzes the fault patterns, maintenance requirements, and energy efficiency problems of devices through statistical analysis based on historical data, machine learning algorithms, or data mining techniques to automatically optimize task scheduling; The maintenance and task scheduling module is used to automatically trigger the maintenance process when a device fails, intelligently schedule maintenance tasks, and ensure efficient and accurate processing; the maintenance and task scheduling module includes a fault monitoring unit, a maintenance task generation unit, and a maintenance progress tracking unit. Among them, the fault monitoring unit continuously monitors the device status through Internet of Things devices, detects device faults, anomalies, or performance degradation, and sends a warning signal to the smart contract; the maintenance task generation unit automatically calculates and determines the priority of the maintenance task; the maintenance progress tracking unit uses blockchain technology to record all key steps of the maintenance task to ensure the transparency and traceability of the maintenance process.

[0009] The asset evaluation and depreciation calculation module uses the real-time data and historical data of the device to dynamically evaluate the value of the device and perform accurate depreciation calculations, providing a basis for asset management and decision-making; The energy efficiency management module automatically analyzes the energy efficiency of devices through smart contracts and generates optimization plans to ensure the improvement of device energy efficiency and energy conservation and emission reduction. The energy efficiency management module includes an energy consumption monitoring unit, an energy efficiency analysis unit, and an optimization plan generation unit. Among them, the energy consumption monitoring unit is used to monitor the energy consumption data of devices in real time and collect energy efficiency data through Internet of Things sensors; the energy efficiency analysis unit analyzes the energy efficiency performance of devices based on the algorithms of smart contracts to discover potential energy efficiency optimization opportunities; the optimization plan generation unit automatically generates energy efficiency optimization plans according to the energy efficiency analysis results, such as adjusting the device working mode, planned maintenance, replacing unqualified devices, etc. The device repair parts procurement module ensures the automation of the procurement of parts required for device repair, reduces errors in the manual selection and settlement processes, and improves procurement efficiency.

[0010] As a preferred solution of the Internet of Things-based power supply supporting asset management system described in the present invention, wherein: the device management module includes a device registration unit, a device status monitoring unit, and a device life cycle management unit; the device registration unit is responsible for registering and collecting information on power devices connected to the system, including device models, specifications, manufacturers, lease information, etc.; the device status monitoring unit uses various types of Internet of Things sensors to monitor various operating data of the device in real time and uploads them to the smart contract system for processing through communication protocols such as local area network or low-power wide area network (LPWAN) deployment; the device life cycle management unit introduces a device life prediction model based on machine learning algorithms, combines the operating data, failure history, and environmental factors of the device to predict the remaining service life of the device, and provides device replacement suggestions or warnings.

[0011] As a preferred solution of the Internet of Things-based power supply supporting asset management system described in the present invention, wherein: the Internet of Things sensors include temperature and humidity sensors, current sensors, vibration sensors, etc., and the specific models, working principles, and deployment methods are selected and configured according to the device type and monitoring requirements.

[0012] As a preferred solution of the Internet of Things-based power supply supporting asset management system described in the present invention, wherein: in the smart contract execution module, each smart contract is stored in the blockchain and is verified using a consensus mechanism (such as Proof of Stake, Proof of Work) to ensure that the execution process of the contract is transparent and tamper-proof; each step in the contract (such as repair requests, device lease expiration, fee settlement, etc.) generates a record in the blockchain and is confirmed by multiple nodes in the network; this verification process not only enhances the reliability of the contract but also prevents potential contract tampering or fraud.

[0013] As a preferred solution of the Internet of Things-based power supply supporting asset management system of the present invention, wherein: the contract scheduling unit analyzes the historical failure data, maintenance records of the equipment, and external environment (such as weather, load fluctuations, etc.) to accurately predict potential problems of the equipment and automatically schedule resources (such as maintenance personnel, spare parts, etc.).

[0014] As a preferred solution of the Internet of Things-based power supply supporting asset management system of the present invention, wherein: the priority of the maintenance tasks in the maintenance task generation unit can be determined through the following multiple dimensions: the importance of the equipment, that is, the degree of influence of the equipment on the entire power supply system; the severity of the failure, judging the urgency of the maintenance according to the failure type; the maintenance history, evaluating the failure frequency and maintenance difficulty of the equipment according to the maintenance history records of the equipment.

[0015] As a preferred solution of the Internet of Things-based power supply supporting asset management system of the present invention, wherein: the maintenance and task scheduling module further includes a remote fault diagnosis and repair unit, which uses remote monitoring and diagnostic tools for fault detection to reduce on-site maintenance requirements.

[0016] As a preferred solution of the Internet of Things-based power supply supporting asset management system of the present invention, wherein: the maintenance progress tracking unit uses blockchain technology to record all key steps of the maintenance task (such as the arrival time of the maintenance personnel, the maintenance process, the completion time of the maintenance, etc.); the update of each task will generate a blockchain record, thus ensuring the transparency and traceability of the maintenance process; once the maintenance record is uploaded to the blockchain, it cannot be tampered with, guaranteeing the authenticity and reliability of the maintenance process.

[0017] As a preferred solution of the Internet of Things-based power supply supporting asset management system of the present invention, wherein: the asset evaluation and depreciation calculation module includes an asset evaluation unit and a depreciation calculation unit. The asset evaluation unit evaluates the current market value of the equipment according to the operating status, fault history, and maintenance records of the equipment, combined with market data; the depreciation calculation unit automatically calculates the depreciation value of the equipment according to the equipment usage, maintenance history, industry standards, etc., and updates the asset value.

[0018] As a preferred solution of the Internet of Things-based power supply supporting asset management system described in the present invention, wherein: the equipment maintenance parts procurement module includes a parts inventory management unit, a parts procurement request unit, and a supplier settlement unit. Among them, the parts inventory management unit is used to track the inventory status of parts required by the equipment in real time; the parts procurement request unit is used to automatically determine the types, specifications, and quantities of required parts based on the equipment model, failure type, maintenance records, and current parts inventory status when the equipment needs to replace parts, generate corresponding parts procurement requests, and select the most suitable supplier; the supplier settlement unit automatically settles the parts procurement costs through a smart contract, pays the supplier according to the contract terms, and records all information during the settlement process in the blockchain in real time to ensure the transparency and fairness of the transactions between the supplier and the enterprise.

[0019] Advantages of the present invention: Through the application of Internet of Things sensors in the present invention, this system can monitor the operating status, environmental conditions, and fault information of the equipment in real time, and upload this data to the blockchain platform for storage and processing through communication protocols. The equipment lifecycle management unit uses machine learning algorithms to predict the remaining life of the equipment, providing a scientific basis for equipment maintenance and replacement. Compared with traditional manual management methods, the present invention significantly improves the efficiency and accuracy of asset management.

[0020] The smart contract execution module of the present invention realizes the full-process automation from contract generation to execution verification, and uses the consensus mechanism of the blockchain (such as PoS or PoW) to ensure the transparency and immutability of the contract execution process. The introduction of smart contracts reduces human intervention, improves the efficiency of task processing and the reliability of contract performance. Especially in the settlement of maintenance costs and energy efficiency optimization tasks, the automatic execution function of smart contracts significantly reduces transaction costs.

[0021] This system monitors the equipment status in real time through Internet of Things sensors, combines historical fault data and external environmental factors, and uses machine learning algorithms to predict potential faults of the equipment. The maintenance and task scheduling module automatically generates maintenance tasks and determines priorities based on the prediction results, and at the same time uses blockchain technology to record every key step of the maintenance tasks to ensure the transparency and traceability of the process.

[0022] The energy efficiency management module of the present invention analyzes the energy efficiency of the equipment based on algorithms built into the smart contract (such as machine learning algorithms) and automatically generates optimization plans, such as adjusting the working mode or planned maintenance. This method not only improves the operating efficiency of the equipment, but also provides technical support for the realization of energy conservation and emission reduction goals.

[0023] This system dynamically integrates device operation data, fault history, and market data, and accurately evaluates the current value and depreciation value of the device through the asset evaluation and depreciation calculation module. This evaluation method based on big data analysis is more scientific than traditional methods, providing reliable support for enterprise asset management and investment decisions.

[0024] The spare part procurement module of the present invention realizes the full-process automation from demand generation to supplier settlement. The procurement request is automatically generated based on the device model, fault type, and inventory status, and transparent settlement is carried out through smart contracts. Blockchain technology ensures the immutability of the procurement and settlement processes, significantly reducing the risks in the procurement process.

[0025] The present invention first integrates and applies Internet of Things sensors, smart contracts, and blockchain technology to the asset management of power supply supporting facilities, achieving the collaborative optimization of multiple technologies. This technology combination not only improves the automation level of the system but also makes the system more innovative in terms of data security, task scheduling, and device management. Brief Description of the Drawings

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings. Among them: Figure 1 It is the overall system architecture diagram of the present invention. Detailed Embodiments

[0027] To make the above objects, features, and advantages of the present invention more obvious and understandable, the detailed embodiments of the present invention will be described in detail below with reference to the drawings in the specification.

[0028] Many specific details are set forth in the following description in order to provide a thorough understanding of the present invention. However, the present invention may be practiced in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the spirit of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0029] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The appearances of "in one embodiment" in different places in this specification do not all refer to the same embodiment, nor are they separate or alternative embodiments that exclude each other with other embodiments.

[0030] Next, the present invention will be described in detail with reference to the schematic diagrams. When describing the embodiments of the present invention in detail, for the convenience of explanation, the cross-sectional views showing the device structure will be enlarged locally not in accordance with the general scale, and the schematic diagrams are only examples and should not limit the scope of protection of the present invention herein. In addition, in actual production, three-dimensional spatial dimensions including length, width, and depth should be included. Embodiment 1

[0031] Referring to Figure 1 , the first embodiment of the present invention provides an Internet of Things-based power supply supporting asset management system. Through the integrated application of Internet of Things sensors, smart contracts, and blockchain technology, this system automatically completes various tasks in the equipment management process, such as equipment operation monitoring, maintenance scheduling, asset evaluation, energy efficiency optimization, etc., reduces human intervention, lowers the error rate, and realizes the efficient, transparent, and intelligent management of the system.

[0032] This system includes the following modules: The equipment management module automatically tracks information such as the operation, maintenance, depreciation, and replacement of equipment through Internet of Things sensors, smart contracts, and blockchain technology.

[0033] The smart contract execution module automatically processes all tasks related to asset management, reduces human intervention, and improves the automation level. It includes a contract generation unit, a contract verification unit, and a contract scheduling unit.

[0034] The maintenance and task scheduling module is used to automatically trigger the maintenance process when the equipment fails, intelligently schedule maintenance tasks, and ensure efficient and accurate processing. It includes a fault monitoring unit, a maintenance task generation unit, and a maintenance progress tracking unit.

[0035] The asset evaluation and depreciation calculation module uses the real-time data and historical data of the equipment to dynamically evaluate the value of the equipment and perform accurate depreciation calculations on it.

[0036] The energy efficiency management module automatically analyzes the energy efficiency of the equipment through smart contracts and generates optimization plans to ensure the improvement of equipment energy efficiency and energy conservation and emission reduction.

[0037] The equipment repair parts procurement module ensures the automation of the procurement of parts required for equipment repair, reduces errors in the manual selection and settlement process, and improves the procurement efficiency.

[0038] The Internet of Things-based power supply supporting asset management system described in the present invention integrates Internet of Things sensors, smart contracts, and blockchain technology to provide an efficient, transparent, and automated asset management solution. The following is a detailed description of each module and its working process.

[0039] Equipment management module: The device management module is the core part of the system, responsible for device registration, monitoring, lifecycle management, and asset tracking. Specifically, it includes: Device registration unit: This unit is responsible for registering and collecting information of power devices connected to the system. The registration process includes device model, specifications, manufacturer, lease information, etc. All information is stored through smart contracts to ensure the security and accuracy of device information.

[0040] Device status monitoring unit: This unit uses a variety of IoT sensors, such as temperature and humidity sensors, current sensors, vibration sensors, etc., to monitor various operating data of the device in real time (such as current, voltage, temperature, humidity, vibration, etc.). These sensors upload data to the central processing unit through communication protocols such as local area network or low-power wide area network (LPWAN). Through IoT technology, the system can grasp the operating status of the device in real time.

[0041] Device lifecycle management unit: This unit introduces a device life prediction model based on machine learning algorithms. The model combines the real-time data, fault history, and environmental factors of the device to predict the remaining service life of the device and provide device replacement suggestions or warnings. The system will adjust the usage strategy of the device according to its operating conditions to optimize the device lifecycle.

[0042] Smart contract execution module: The smart contract execution module is the core of the system's automation, realizing the automated execution of tasks through contract generation, verification, and scheduling, reducing human intervention.

[0043] Contract generation unit: This unit automatically generates corresponding smart contracts based on conditions such as device lease, maintenance, and energy efficiency. The contract content includes the device lease expiration time, maintenance cost settlement method, energy efficiency optimization agreement, etc. Smart contracts are written in Solidity and deployed on blockchain platforms (such as Ethereum, Hyperledger Fabric, etc.) to ensure the immutability and transparency of the contracts.

[0044] Contract verification unit: This unit uses the consensus mechanism of the blockchain (such as Proof of Stake, Proof of Work) to verify the execution of contracts, ensuring that each contract step (such as repair requests, device lease expiration, cost settlement, etc.) is verified and a blockchain record is generated to prevent contract tampering or fraud.

[0045] Contract scheduling unit: This unit introduces predictive analysis methods, analyzes historical fault data, maintenance records, and external environments (such as weather, load fluctuations, etc.) to predict potential problems of the device, and automatically schedules maintenance tasks and resources (such as maintenance personnel, spare parts, etc.).

[0046] Maintenance and Task Scheduling Module: The maintenance and task scheduling module automatically triggers equipment fault detection and maintenance task scheduling to ensure the timely maintenance and optimization of faulty equipment. Specifically, it includes: Fault Monitoring Unit: This unit continuously monitors the equipment status through Internet of Things sensors to detect problems such as equipment faults, anomalies, or performance degradation. When the system detects a fault, it will automatically send a warning signal to the smart contract to initiate the maintenance process.

[0047] Maintenance Task Generation Unit: This unit automatically calculates the priority of maintenance tasks and generates maintenance tasks by evaluating multiple dimensions such as the equipment's fault history, equipment importance, and fault severity.

[0048] Maintenance Progress Tracking Unit: Every step of the maintenance process is recorded through blockchain technology to ensure the transparency and traceability of the maintenance process. The system will generate records of each maintenance step on the blockchain, which cannot be tampered with, ensuring the authenticity of the maintenance records.

[0049] Asset Evaluation and Depreciation Calculation Module The asset evaluation and depreciation calculation module provides real-time equipment value evaluation and depreciation calculation. Specifically, it includes: Asset Evaluation Unit: This unit evaluates the current market value of the equipment by analyzing the equipment's operating status, fault history, maintenance records, and combining market data.

[0050] Depreciation Calculation Unit: This unit automatically calculates the depreciation value of the equipment based on the equipment's usage, maintenance history, industry standards, etc., and updates the book value of the equipment to support asset management and decision-making.

[0051] Energy Efficiency Management Module: The energy efficiency management module automatically analyzes the energy efficiency of the equipment through smart contracts, generates optimization plans and implements them. Specifically, it includes: Energy Consumption Monitoring Unit: Real-time monitors the energy consumption data of the equipment through Internet of Things sensors and uploads the data to the smart contract system for processing.

[0052] Energy Efficiency Analysis Unit: This unit uses machine learning algorithms or other analysis methods to analyze the energy efficiency performance of the equipment and discover potential energy efficiency optimization opportunities.

[0053] Optimization Plan Generation Unit: Based on the energy efficiency analysis results, automatically generates optimization plans, such as adjusting the equipment's working mode, planned maintenance, replacing unqualified equipment, etc., to ensure the improvement of the equipment's energy efficiency and energy conservation and emission reduction.

[0054] Equipment Maintenance Parts Procurement Module: The equipment maintenance parts procurement module realizes the automated procurement of parts, reduces human errors, and improves procurement efficiency. Specifically, it includes: Spare part inventory management unit: This unit tracks the inventory status of spare parts required by the equipment in real time and automatically updates the inventory data.

[0055] Spare part procurement request unit: When the equipment needs to replace spare parts, the system automatically generates a spare part procurement request based on the equipment model, fault type, maintenance records, and current inventory status, and selects a suitable supplier.

[0056] Supplier settlement unit: This unit automatically settles the spare part procurement costs through a smart contract, pays the supplier according to the contract terms, and all settlement information is recorded through the blockchain to ensure transparent and fair transactions.

[0057] Application example: Suppose a power company manages its power supporting facilities through this system. When a certain equipment fails, the system first monitors the abnormality through the Internet of Things sensors and confirms the fault record of the equipment through the blockchain. The system automatically generates a smart contract, schedules maintenance personnel and spare part resources to ensure that the maintenance tasks of the equipment are processed in a timely manner based on priorities. The maintenance progress is tracked through the blockchain, and all steps are recorded and protected against tampering. After the maintenance is completed, the energy efficiency of the equipment is re-evaluated, and the smart contract optimizes the future energy efficiency plan according to the operation data of the equipment. In addition, the system automatically settles the maintenance costs through the smart contract and updates the asset value of the equipment. Example 2

[0058] This is the second embodiment of the present invention. The difference between this embodiment and the first embodiment is that this embodiment aims to verify the performance of the power supply supporting asset management system based on the Internet of Things, especially its advantages in equipment fault detection, maintenance task scheduling, and energy efficiency optimization. In this embodiment, a power transformer is used as a simulation test object, and the following preparation and implementation steps are adopted during the test compared with the traditional manual management system: I. Test system installation: Install a variety of Internet of Things sensors on the power transformer, including temperature sensors (model: DS18B20, accuracy ±0.5°C), humidity sensors (model: DHT22, accuracy ±2% RH), vibration sensors (model: ADXL345, resolution 0.004g), and current sensors (model: ACS712, error ±1.5%).

[0059] The sensors are connected to the device management module through the low-power wide area network (LPWAN) protocol for real-time data collection.

[0060] II. Smart contract deployment: Deploy a smart contract using the Ethereum blockchain. The contract is written based on Solidity, and its main functions include equipment fault detection, task scheduling, maintenance cost settlement, and energy efficiency optimization.

[0061] Trigger conditions such as abnormal device temperature (>80°C) and abnormal vibration (>3g) are set in the contract for automatically generating maintenance tasks.

[0062] III. Maintenance Task Scheduling and Energy Efficiency Optimization: The fault monitoring unit detects abnormalities based on sensor data and triggers the intelligent contract to execute tasks.

[0063] According to the task priority, maintenance personnel and spare parts are scheduled, and each key step of task execution is recorded.

[0064] IV. Control Group Testing: Traditional manual management system: Manually record and manage the device status, without sensor and blockchain support, and task assignment depends on the dispatcher's subjective judgment.

[0065] The comparison test lasts for 30 days, and the device status, number of repairs, task completion time, energy efficiency data, etc. are recorded every day.

[0066] The specific implementation data is shown in the following table: Parameter Traditional management system (A) System of the present invention (B) Improvement rate (%) Average fault detection time (minutes) 45 5 88.89 Average maintenance response time (minutes) 120 30 75.00 Fault repair success rate (%) 85 98 15.29 Average energy efficiency (kW·h / hour) 150 135 10.00 Equipment life prediction error (%) 15 5 66.67 Monthly maintenance cost (yuan) 3000 2000 33.33 By comparing the table data, the significant advantages of the system of the present invention in multiple key indicators can be clearly seen: 1. Fault Detection and Repair Efficiency: The average fault detection time of the system of the present invention is only 5 minutes, while the traditional system requires 45 minutes, a reduction of 88.89%. This high-efficiency performance comes from the real-time monitoring of IoT sensors and the rapid response of intelligent contracts.

[0067] The maintenance response time is reduced from 120 minutes in the traditional system to 30 minutes, improving the efficiency by 75%. This is because the automatic task scheduling function of the intelligent contract replaces manual task assignment.

[0068] 2. Fault Repair Success Rate: The fault repair success rate of the system of the present invention reaches 98%, significantly higher than 85% of the traditional system. This shows that the system not only improves the fault detection accuracy but also optimizes the maintenance process, reducing misjudgment and maintenance failure.

[0069] 3. Energy Efficiency Optimization: The average energy efficiency of the device drops from 150 kW·h / hour to 135 kW·h / hour, a reduction of 10%, achieving a significant energy-saving effect. This benefits from the energy efficiency analysis and optimization scheme generation unit of the system, which can dynamically adjust the device working mode and reduce energy waste.

[0070] 4. Asset Management and Cost Control: The prediction error of equipment life is reduced from 15% to 5%. The accurate life prediction provides a scientific basis for asset replacement, avoiding unnecessary cost expenditures.

[0071] The monthly maintenance cost is reduced from 3000 yuan in the traditional system to 2000 yuan, a decrease of 33.33%, reflecting the economic value of efficient asset management.

[0072] In summary, through the integration of Internet of Things sensors, smart contracts, and blockchain technology, the present invention realizes real-time monitoring of equipment operating status, automation of task scheduling, and precision of asset management. It not only significantly improves system efficiency but also greatly reduces operating costs, possessing remarkable creativity and practical application value.

[0073] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not restrictive. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. An Internet of Things-based power supply supporting asset management system, characterized by: The integration of IoT sensors, smart contracts and blockchain technology into the power supply supporting asset management system has achieved automatic tracking of equipment information, automated execution of smart contracts, fault detection, maintenance task scheduling, energy efficiency optimization and equipment asset evaluation; The system includes equipment management module, smart contract execution module, maintenance and task scheduling module, asset evaluation and depreciation calculation module, energy efficiency management module and equipment maintenance parts procurement module; among which: Equipment management module, which automatically tracks equipment operation, maintenance, depreciation and replacement information through IoT sensors, smart contracts and blockchain technology; The smart contract execution module automatically handles all tasks related to asset management, reduces human intervention, and improves the level of automation. The smart contract execution module includes a contract generation unit, a contract verification unit, and a contract scheduling unit. The contract generation unit generates corresponding smart contracts based on the equipment's leasing, maintenance, and energy efficiency conditions, and automatically executes the contract terms. Smart contracts are written in Solidity, or deployed and executed using a specific blockchain platform. The contract verification unit implements contract execution verification through blockchain technology and adopts a consensus mechanism to ensure that the contract execution process is transparent and cannot be tampered with. The contract scheduling unit introduces predictive analysis methods to analyze equipment failure modes, maintenance requirements, and energy efficiency issues through statistical analysis based on historical data, machine learning algorithms, or data mining techniques, and automatically optimize task scheduling. The maintenance and task scheduling module is used to automatically trigger the maintenance process when a device fails, intelligently schedule maintenance tasks and ensure efficient and accurate processing; the maintenance and task scheduling module includes a fault monitoring unit, a maintenance task generation unit and a maintenance progress tracking unit. Among them, the fault monitoring unit continuously monitors the device status through the Internet of Things device, detects equipment failure, abnormality or performance degradation, and sends an early warning signal to the smart contract; the maintenance task generation unit automatically calculates and determines the priority of the maintenance task; the maintenance progress tracking unit uses blockchain technology to record all key steps of the maintenance task to ensure the transparency and traceability of the maintenance process. The asset evaluation and depreciation calculation module uses the real-time and historical data of the equipment to dynamically evaluate the value of the equipment and perform accurate depreciation calculations on it, providing a basis for asset management and decision-making; The energy efficiency management module automatically analyzes the energy efficiency of equipment and generates optimization plans through smart contracts to ensure the improvement of equipment energy efficiency and energy conservation and emission reduction; the energy efficiency management module includes an energy consumption monitoring unit, an energy efficiency analysis unit and an optimization plan generation unit. Among them, the energy consumption monitoring unit is used to monitor the energy consumption data of the equipment in real time and collect energy efficiency data through IoT sensors; the energy efficiency analysis unit analyzes the energy efficiency performance of the equipment based on the algorithm of the smart contract and finds potential energy efficiency optimization opportunities; the optimization plan generation unit automatically generates energy efficiency optimization plans based on the energy efficiency analysis results, such as adjusting the equipment working mode, planned maintenance, and replacing unqualified equipment; The equipment repair parts procurement module ensures the automation of the procurement of parts required for equipment repair, reduces errors in manual selection and settlement processes, and improves procurement efficiency.

2. The power supply supporting asset management system based on the Internet of Things as claimed in claim 1, characterized in that: The equipment management module includes an equipment registration unit, an equipment status monitoring unit and an equipment life cycle management unit; the equipment registration unit is responsible for registering and collecting information on power equipment connected to the system, including equipment model, specifications, manufacturer, and rental information; the equipment status monitoring unit uses various types of IoT sensors to monitor various operating data of the equipment in real time, and uploads it to the smart contract system for processing by deploying local area network or low-power wide area network communication protocol; the equipment life cycle management unit introduces an equipment life prediction model based on a machine learning algorithm, combines the equipment's operating data, fault history and environmental factors, predicts the remaining service life of the equipment, and provides equipment replacement recommendations or warnings.

3. The power supply supporting asset management system based on the Internet of Things as claimed in claim 1, characterized in that: The IoT sensors include temperature and humidity sensors, current sensors, and vibration sensors. The specific models, working principles, and deployment methods are selected and configured according to the device type and monitoring requirements.

4. The power supply supporting asset management system based on the Internet of Things as claimed in claim 1, characterized in that: In the smart contract execution module, each smart contract is stored in the blockchain and verified using a consensus mechanism to ensure that the contract execution process is transparent and cannot be tampered with. Each step in the contract will generate a record in the blockchain and be confirmed by multiple nodes in the network. This verification process not only enhances the reliability of the contract, but also prevents potential contract tampering or fraud.

5. The power supply supporting asset management system based on the Internet of Things as claimed in claim 1, characterized in that: The contract scheduling unit accurately predicts potential problems of equipment and automatically schedules resources by analyzing historical fault data, maintenance records and external environment of the equipment.

6. The power supply supporting asset management system based on the Internet of Things as claimed in claim 1, characterized in that: The priority of the maintenance task in the maintenance task generation unit is determined by the following multiple dimensions: the importance of the equipment, that is, the impact of the equipment on the entire power supply system; the severity of the fault, judging the urgency of the maintenance according to the fault type; the maintenance history, evaluating the failure frequency and maintenance difficulty of the equipment according to its maintenance history record.

7. The power supply supporting asset management system based on the Internet of Things as claimed in claim 1, characterized in that: The maintenance and task scheduling module also includes a remote fault diagnosis and repair unit, which uses remote monitoring and diagnostic tools to perform fault detection and reduce the need for on-site maintenance.

8. The power supply supporting asset management system based on the Internet of Things as claimed in claim 1, characterized in that: The maintenance progress tracking unit uses blockchain technology to record all key steps of the maintenance task; each update of a task will generate a blockchain record, thereby ensuring the transparency and traceability of the maintenance process; once the maintenance record is uploaded to the blockchain, it cannot be tampered with, ensuring the authenticity and reliability of the maintenance process.

9. The power supply supporting asset management system based on the Internet of Things as claimed in claim 1, characterized in that: The asset evaluation and depreciation calculation module includes an asset evaluation unit and a depreciation calculation unit. The asset evaluation unit evaluates the current market value of the equipment based on the equipment's operating status, fault history and maintenance records combined with market data; the depreciation calculation unit automatically calculates the equipment's depreciation value and updates the asset value based on the equipment's usage, maintenance history and industry standards.

10. The power supply supporting asset management system based on the Internet of Things as claimed in claim 1, characterized in that: The equipment repair parts procurement module includes a parts inventory management unit, a parts procurement request unit and a supplier settlement unit, wherein the parts inventory management unit is used to track the inventory status of parts required for the equipment in real time; the parts procurement request unit is used to automatically determine the type, specification and quantity of required parts according to the equipment model, fault type, maintenance record and current parts inventory status when the equipment needs to replace parts, generate corresponding parts procurement requests, and select the most suitable supplier; the supplier settlement unit automatically settles the parts procurement costs through smart contracts, pays the supplier according to the terms of the contract, and records all information in the settlement process in real time in the blockchain to ensure that transactions between suppliers and enterprises are transparent and fair.

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