Application method and system of smart contract in college purchase and multi-supplier settlement

Abstract

The invention belongs to the field of block chains, and discloses an application method and system of a smart contract in college purchase and multi-supplier settlement, and the method comprises the steps: deploying a block chain network and the smart contract; future purchase demands and market price fluctuations are predicted based on artificial intelligence, a decentralized autonomous organization mechanism is introduced, and multiple parties participating in the purchase process are allowed to participate in making and execution of purchase decisions at the same time; initiating a purchase demand, automatically triggering a purchase contract after internal auditing, generating a purchase order, and sending the purchase order to a supplier; the supplier delivers the article and the college accepts the article; the intelligent contract automatically judges whether settlement conditions are met or not, and if yes, settlement operation is executed; the system adjusts parameters and rules of the smart contract in real time; related data of suppliers are collected regularly, credit evaluation and feedback are carried out, and various data are monitored and analyzed in real time. According to the invention, the transparency of purchasing and settlement is improved, the purchasing and settlement process is simplified, the management cost is reduced, the supplier management is optimized, the data analysis and decision-making capabilities are improved, and the digital transformation is promoted.

Description

Technical Field

[0001] The present invention belongs to but is not limited to the field of blockchain technology, and in particular relates to an application method and system of smart contracts in university procurement and settlement with multiple suppliers. Background Art

[0002] When exploring innovative ways to apply smart contracts to university procurement and multiple supplier settlement systems, we deeply realized the huge potential of blockchain technology and smart contracts as two cutting-edge technologies. At the blockchain technology level, we actively learned from the successful experience of cryptocurrencies such as Bitcoin, and used the core characteristics of its distributed ledger to build a secure, transparent and tamper-proof transaction data environment. This design ensures that all participants, including university procurement departments, suppliers and regulators, can share data on the basis of mutual trust, greatly enhancing the credibility of the system and the transparency of transactions. At the same time, the distributed nature of the blockchain also provides for the decentralized management of the system, further improving the stability and security of the system.

[0003] In the introduction of smart contracts, this invention refers to the practical cases of mature blockchain platforms such as Ethereum, and converts the key terms and rules in the procurement and settlement process into automatically executable contract codes. This innovation not only realizes the automation of the process, significantly reduces human errors and interventions, but also greatly improves work efficiency. The automatic execution characteristics of smart contracts ensure the strict implementation of contract terms, reduce the risk of default, and provide a more solid and reliable guarantee for the cooperation between university procurement and suppliers.

[0004] Although smart contracts and blockchain technology have broad application prospects in the field of university procurement, their actual deployment and operation still face a series of technical challenges. Technical complexity is the primary problem. The writing and deployment of smart contracts requires deep knowledge of blockchain technology and programming, which poses a certain technical threshold for university procurement departments. The complexity of blockchain technology and how to ensure its scalability to cope with future growth needs are also issues that must be carefully considered. System compatibility and integration issues cannot be ignored. The compatibility barriers between the existing procurement system of universities and the newly introduced smart contract system need to be resolved through system integration and interface development to ensure that the new system can be seamlessly connected with other systems within the university.

[0005] In addition to the above main issues, there are several additional technical issues that need special attention. The first is the performance and scalability issue. With the continuous expansion of university procurement and the increasing number of suppliers, the smart contract system must have sufficient processing power and scalability to cope with the huge pressure brought by high-concurrency transactions and data storage. Second, the flexibility and customizability of smart contracts are also key factors affecting the application effect of the system. The procurement and settlement processes of different universities and suppliers have their own characteristics, so smart contracts need to be highly flexible and customizable to meet the diverse needs of users. Third, user experience and training issues should not be ignored. The successful application of the smart contract system is inseparable from the active participation and cooperation of university procurement departments and suppliers. Therefore, it is necessary to focus on improving user experience, reducing learning costs, and providing necessary training and support services to ensure the smooth promotion and widespread application of the system.

[0006] At present, some universities have begun to try to apply blockchain technology to procurement management systems, using the distributed ledger characteristics of blockchain to improve data transparency and security. However, most of these applications focus on recording and tracking supply chain information, and have not yet fully utilized the automatic execution and conditional triggering functions of smart contracts to achieve automation of procurement and settlement.

[0007] Smart contracts are an automated computer protocol based on blockchain technology that can automatically execute the terms of a contract when certain conditions are met without human intervention. Smart contracts have been widely used on blockchain platforms such as Ethereum, demonstrating their great potential in finance, supply chain management, e-commerce and other fields.

[0008] In view of the above analysis, the technical problems that need to be solved urgently in the prior art are:

[0009] Existing technologies have not yet fully utilized the automatic execution and conditional triggering functions of smart contracts to achieve automation of procurement and settlement. Summary of the invention

[0010] In view of the problems existing in the prior art, the present invention provides an application method and system of smart contracts in university procurement and settlement with multiple suppliers.

[0011] The present invention is implemented as follows: a method for applying smart contracts in university procurement and settlement with multiple suppliers, characterized in that the method for applying smart contracts in university procurement and settlement with multiple suppliers specifically includes:

[0012] S1: System initialization and setup, deployment of blockchain network and smart contracts;

[0013] S2: Based on artificial intelligence, we predict future procurement demand and market price fluctuations, introduce a decentralized autonomous organization (DAO) mechanism, and allow multiple parties involved in the procurement process to participate in the formulation and execution of procurement decisions;

[0014] S3: Initiate a purchase demand, automatically trigger a purchase contract after passing internal review, generate a purchase order and send it to the supplier;

[0015] S4: The supplier delivers the items according to the purchase order requirements, and the university inspects the delivered items. The inspection results are recorded through the blockchain network;

[0016] S5: The smart contract automatically determines whether the settlement conditions are met. If so, the settlement operation is executed;

[0017] S6: Dynamic feedback and learning, the system adjusts the parameters and rules of the smart contract in real time based on what actually happens during the procurement process and the performance of the supplier;

[0018] S7: The system regularly collects relevant data from suppliers, conducts credit assessment and feedback, monitors various data in the procurement and settlement process in real time, and conducts in-depth analysis of the data stored on the blockchain.

[0019] Furthermore, S1 builds a distributed network based on blockchain technology as the underlying foundation for data storage and smart contract execution; writes smart contracts based on the specific needs of university procurement and settlement with multiple suppliers, and deploys them on the blockchain network. Smart contracts include but are not limited to procurement contracts, settlement contracts and credit assessment contracts.

[0020] Furthermore, S2 introduces an artificial intelligence-based predictive analysis module to predict future procurement demand and market price fluctuations through deep learning of multi-dimensional data such as historical procurement data, market trends, and supplier behavior patterns; introduces a decentralized autonomous organization (DAO) mechanism in the blockchain network to allow multiple parties involved in the procurement process (such as university management departments, suppliers, and auditing agencies) to jointly participate in the formulation and execution of procurement decisions. Through smart contracts, DAO members can vote, make suggestions, or make decisions.

[0021] Further, the S3 includes:

[0022] (1) Procurement demand input: Universities input procurement demands through the procurement management system, including information such as items, quantity, quality requirements, and budget;

[0023] (2) Demand review: Procurement requirements go through an internal review process to ensure the rationality and compliance of the requirements;

[0024] (3) Purchase contract triggering: approved purchase requirements automatically trigger purchase contracts and generate purchase orders based on preset supplier selection criteria (such as product category, price, etc.);

[0025] (4) Order sent to supplier: The purchase order is sent to qualified suppliers through the blockchain network, and the order information is recorded on the blockchain.

[0026] Further, in S5, the smart contract automatically determines whether the settlement conditions are met (no need to create a file, successful file creation) based on the purchase order, acceptance results, invoice information, and whether fixed asset filing is needed (based on the specific rules and requirements provided by the school, standards such as commodity classification and price); once the settlement conditions are met (the order has been completed, no need to create a file, and settlement is performed based on commodity classification and price matching economic classification; the order has been completed, fixed asset filing is successful, and settlement is performed based on standards such as commodity classification, price, and accounting subject matching economic classification), the smart contract executes the settlement operation, and transfers the payables from the university finance department to each supplier, and the settlement records are recorded on the blockchain to ensure that they cannot be tampered with.

[0027] Furthermore, in S7, the system regularly collects credit-related data such as supplier's delivery status, acceptance results, default records, etc.; the smart contract automatically conducts credit assessment and generates credit rating based on the collected credit data.

[0028] Another object of the present invention is to provide an application system of smart contracts in university procurement and settlement with multiple suppliers, the system specifically comprising:

[0029] Blockchain network module, used as the underlying foundation for data storage and smart contract execution;

[0030] AI forecasting module to predict future purchasing demand and market price fluctuations;

[0031] Demand entry module, used to initiate procurement requirements and review requirements;

[0032] The procurement module is used to automatically trigger the procurement contract and send the purchase order to the qualified supplier through the blockchain network;

[0033] Delivery and acceptance module, used for delivery and acceptance;

[0034] Settlement module, used to execute smart contracts and settle accounts;

[0035] Credit assessment module, used for credit assessment and feedback;

[0036] Feedback module, used to adjust the parameters and rules of smart contracts in real time;

[0037] The monitoring module is used to monitor and analyze various data in the procurement and settlement process in real time.

[0038] In combination with the above technical solutions and the technical problems solved, the advantages and positive effects of the technical solutions to be protected by the present invention are as follows:

[0039] First, the present invention improves the transparency of procurement and settlement: by storing key information such as purchase orders, supplier delivery status, settlement records, etc. on the blockchain, the data can be fully traceable and cannot be tampered with, effectively improving the transparency of the procurement and settlement process.

[0040] The present invention simplifies the procurement and settlement process: the automatic execution characteristics of smart contracts can replace a large amount of manual operations and paper document circulation in the traditional procurement and settlement process, strive for paperless office, greatly simplify the process, reduce human errors and duplication of work, and improve work efficiency.

[0041] The present invention reduces management costs: the automated and transparent procurement and settlement process reduces the management costs of colleges and universities in procurement management, financial auditing, supplier coordination, etc., while also reducing potential losses caused by human errors or fraudulent behavior.

[0042] The present invention enhances the security of funds: the security of blockchain technology and the automatic execution mechanism of smart contracts ensure the safe flow of funds during the settlement process, avoiding problems such as misappropriation of funds and delayed payment that occur in traditional settlement methods.

[0043] The present invention optimizes supplier management: the credit evaluation function realized by the system through smart contracts can regularly conduct objective and fair credit rating of suppliers, provide important reference for colleges and universities when selecting suppliers, promote healthy competition among suppliers and improve the procurement quality of colleges and universities.

[0044] This invention improves data analysis and decision-making capabilities: The rich data stored on the blockchain provides universities with powerful data analysis capabilities. Through in-depth mining of procurement data, supplier performance and other information, universities can formulate procurement strategies more accurately, optimize resource allocation, and improve the efficiency of capital use.

[0045] The present invention promotes digital transformation: its implementation promotes the digital transformation of procurement management in universities, enabling them to better adapt to the development trend of the digital age and improve their overall management level and competitiveness.

[0046] Second, as auxiliary evidence of the inventiveness of the claims of the present invention, it is also reflected in the following important aspects:

[0047] (1) The expected benefits and commercial value of the technical solution of the present invention after transformation are:

[0048] The efficiency is significantly improved. In the complex scenario of university procurement and settlement with multiple suppliers, the core of the present invention lies in the automated execution mechanism of smart contracts. Smart contracts can automatically start the settlement process without manual intervention based on preset trigger conditions. This innovation greatly shortens the settlement cycle and significantly improves processing efficiency. At the same time, the introduction of blockchain technology ensures the real-time chaining of transaction data, realizes the instant synchronization and update of key information such as purchase orders, acceptance certificates, and settlement records, further accelerates the data processing speed, and brings unprecedented efficient experience to university procurement management.

[0049] Cost saving is another important advantage of the present invention. First, the automated process significantly reduces the need for manual intervention, thereby reducing the labor costs of colleges and universities in the procurement and settlement process. Second, the precise execution of smart contracts effectively avoids settlement deviations caused by human errors and reduces the additional costs caused by erroneous settlements, that is, effective control of error costs. Third, the multi-supplier collaboration platform reduces communication costs and time costs by promoting information flow, further improving overall operational efficiency.

[0050] Transparency and security are enhanced. The tamper-proof nature of blockchain technology provides strong data protection for the procurement and settlement process. All transaction data is recorded on the blockchain, ensuring the authenticity and immutability of the data, thereby significantly improving the transparency of the process. At the same time, blockchain encryption technology provides a high level of security for transaction data, effectively preventing the risk of data leakage and illegal tampering, and building an indestructible security line for university procurement management.

[0051] The implementation of the present invention also brings about a significant improvement in user experience. Both suppliers and university procurement departments can query transaction status and settlement progress in real time through the system. This instant feedback mechanism greatly enhances user experience satisfaction. In addition, the application of smart contracts simplifies the procurement and settlement process, reduces the difficulty and complexity of operation, and makes the entire process smoother and more efficient.

[0052] The technical solution of the present invention is not only applicable to the field of university procurement, but also can be extended to other industries that require efficient, transparent and secure settlement, such as government procurement and enterprise supply chain management. By introducing smart contracts and blockchain technology, the present invention has a significant technological advantage in similar products. The efficient, transparent and secure procurement and settlement process not only improves the management level of colleges and universities, but also helps to shape their good brand image and reputation. With the continuous development of blockchain technology and smart contracts, the present invention will continue to iterate and upgrade technology. This ability to continuously innovate will ensure that the present invention always maintains its competitiveness and market adaptability. At the same time, the ecosystem built around the present invention will attract more suppliers, financial institutions, etc. to join, forming a win-win business model, and further promoting the progress and development of the entire industry. From the perspective of economic benefits, by reducing operating costs and improving efficiency, it directly brings significant economic benefits to colleges and universities. Value-added services based on smart contracts and blockchain technology (such as supply chain finance, data analysis, etc.) will further expand business space and income sources, creating more economic value and social value for colleges and universities.

[0053] (2) The technical solution of the present invention fills the technical gap in the industry at home and abroad:

[0054] For a long time, financial settlements in colleges and universities have generally been settled by manual invoice entry, which results in large amounts of data and is difficult to store. As the volume of procurement for scientific research scenarios in colleges and universities increases year by year, the workload of financial settlement entry has also continued to increase. In addition, data has been stored manually in paper form for a long time, making it difficult to conduct statistics and inquiries in the later stage. It is also difficult to achieve data interconnection between departments, and the full value of the data cannot be realized.

[0055] Third, the technical solution of the present invention solves the problems of insufficient transparency, complicated settlement process, inaccurate supplier credit assessment, and low procurement efficiency existing in the prior art through the application of smart contracts in university procurement and settlement with multiple suppliers. In particular, it has made significant technological progress in improving university procurement management and multi-party collaboration.

[0056] 1) Improve the transparency and traceability of the procurement process

[0057] In the traditional procurement process, due to information asymmetry and manual intervention, procurement transparency is poor, and data tampering, management loopholes and other problems are prone to occur. This invention places the procurement process on the blockchain and uses the decentralization and immutability of the blockchain to ensure that the entire process of procurement demand, order generation, supplier delivery, acceptance and settlement is transparent and traceable, significantly improving the transparency and traceability of the procurement process and reducing errors and information distortion in manual operations.

[0058] 2) Realize automation and efficiency of procurement and settlement

[0059] In the existing procurement system, the generation of purchase orders, acceptance and settlement after supplier delivery often require manual intervention, which increases the complexity and delay of operations. The present invention automatically triggers purchase orders through the automatic execution function of smart contracts, performs acceptance and settlement operations, greatly shortens the procurement cycle, improves procurement efficiency, and reduces delays and errors caused by manual operations. This automated process is particularly suitable for environments such as universities with large procurement needs.

[0060] 3) Establishment of intelligent credit assessment and feedback mechanism

[0061] In traditional procurement systems, the credit evaluation of suppliers is often based on a single factor and lacks the ability to adjust dynamically. The present invention automatically collects relevant data such as supplier delivery, response, quality, etc. through the system, and performs credit evaluation based on these data, thus establishing a mechanism for dynamically adjusting supplier credit scores. Through continuous feedback and analysis of supplier performance, the system can optimize future procurement decisions, promote healthy competition among suppliers, and effectively improve procurement quality and service levels.

[0062] 4) Flexibility and fairness brought by decentralized decision-making mechanism

[0063] In the traditional procurement process, decision-making power is too centralized, which can easily lead to inefficiency or unfair decision-making. This invention introduces a decentralized autonomous organization (DAO) mechanism, allowing multiple parties to participate in procurement decisions and jointly formulate and execute procurement processes based on smart contracts, breaking the limitations of centralized management. The DAO mechanism gives participants more autonomy, making the procurement process more flexible and fair, ensuring a balance of interests among multiple parties, and meeting the needs of modern procurement management.

[0064] In summary, by combining technologies such as blockchain, smart contracts, artificial intelligence and DAO, the present invention has achieved significant technological progress in university procurement and settlement with multiple suppliers, which not only improves transparency and efficiency, but also significantly optimizes supplier management and procurement decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 It is a flow chart of the application method of the smart contract provided by the embodiment of the present invention in the procurement of universities and the settlement of multiple suppliers;

[0066] Figure 2 is a schematic diagram of a smart contract provided by an embodiment of the present invention;

[0067] Figure 3 This is a system structure diagram of the application of the smart contract provided by the embodiment of the present invention in the procurement of universities and the settlement of multiple suppliers;

[0068] Figure 4It is a schematic diagram of an application method of a smart contract provided by an embodiment of the present invention in university procurement and settlement with multiple suppliers;

[0069] Figure 5 is a procurement flow chart provided by an embodiment of the present invention;

[0070] Figure 6 This is an interface diagram of an application system of a smart contract provided by an embodiment of the present invention in university procurement and settlement with multiple suppliers;

[0071] Figure 7 is a schematic diagram of an order list interface provided by an embodiment of the present invention;

[0072] Figure 8 This is a schematic diagram of an interface for pending settlement orders provided by an embodiment of the present invention;

[0073] Fig. 9 It is a schematic diagram of a bill management interface provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0074] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0075] In the process of purchasing and settling with multiple suppliers, the blockchain network and smart contracts are deployed first, which constitute the basic architecture of the system. Blockchain technology ensures the transparency, immutability and decentralized management of data. Smart contracts are automated programs deployed on the blockchain to manage the rules and operations in the procurement process. The system setup phase also includes the initialization and parameter setting of the procurement system to ensure that it is seamlessly connected with the internal processes of the university, the supplier system, and the blockchain network.

[0076] To optimize the procurement process, the method uses artificial intelligence to predict future procurement needs and market price fluctuations. This can help colleges and universities plan procurement in advance and ensure that procurement is carried out at the best time. A decentralized autonomous organization (DAO) mechanism is also introduced in the system, enabling multiple parties involved in the procurement process (such as procurement departments, suppliers, etc.) to jointly make and execute procurement decisions through smart contracts. The decentralized nature of DAO ensures that the decision-making process is more transparent and fair, while reducing the intervention of intermediate management.

[0077] When a university initiates a procurement demand and passes internal review, the smart contract automatically generates a purchase order and sends it to the supplier. After the supplier delivers the items as required, the university inspects the items and the inspection results are recorded on the blockchain. The smart contract automatically determines whether the settlement requirements are met based on the preset conditions. If they are met, the system will automatically perform settlement operations, including payment. The automated execution of smart contracts not only reduces manual operation errors, but also improves the efficiency of the entire process.

[0078] The system also has learning and adjustment functions, and can dynamically adjust the rules of smart contracts based on supplier performance, market changes, and actual procurement situations. For example, if a supplier has excellent delivery performance, the system can adjust its credit score and preferential terms for future transactions based on historical data. In addition, the system regularly conducts in-depth analysis of all procurement and settlement data stored on the blockchain, monitors changes in various data, provides real-time feedback, ensures transparency and traceability in the procurement process, and further improves the efficiency and quality of procurement management in universities.

[0079] like Figure 1 , Figure 4 As shown, an embodiment of the present invention provides an application method of a smart contract in university procurement and settlement with multiple suppliers, and the method specifically includes:

[0080] S1: System initialization and setup, deployment of blockchain network and smart contracts;

[0081] S2: Based on artificial intelligence, we predict future procurement demand and market price fluctuations, introduce a decentralized autonomous organization (DAO) mechanism, and allow multiple parties involved in the procurement process to participate in the formulation and execution of procurement decisions;

[0082] S3: Initiate a purchase demand, automatically trigger a purchase contract after passing internal review, generate a purchase order and send it to the supplier;

[0083] S4: The supplier delivers the items according to the purchase order requirements, and the university inspects the delivered items. The inspection results are recorded through the blockchain network;

[0084] S5: The smart contract automatically determines whether the settlement conditions are met. If so, the settlement operation is executed;

[0085] S6: Dynamic feedback and learning, the system adjusts the parameters and rules of the smart contract in real time based on what actually happens during the procurement process and the performance of the supplier;

[0086] S7: The system regularly collects relevant data from suppliers, conducts credit assessment and feedback, monitors various data in the procurement and settlement process in real time, and conducts in-depth analysis of the data stored on the blockchain.

[0087] S1, builds a distributed network based on blockchain technology as the underlying foundation for data storage and smart contract execution; writes smart contracts according to the specific needs of university procurement and settlement with multiple suppliers, and deploys them on the blockchain network. Smart contracts include but are not limited to procurement contracts, settlement contracts and credit assessment contracts.

[0088] S2 introduces an AI-based forecasting and analysis module, which predicts future procurement demand and market price fluctuations through deep learning of multi-dimensional data such as historical procurement data, market trends, and supplier behavior patterns. The system can automatically adjust procurement plans and budget allocations, avoid potential risks in advance, and optimize the decision-making efficiency of the procurement process.

[0089] Introducing a decentralized autonomous organization (DAO) mechanism in the blockchain network allows multiple parties involved in the procurement process (such as university management departments, suppliers, and auditing agencies) to jointly participate in the formulation and execution of procurement decisions. Through smart contracts, DAO members can vote, make suggestions, or make decisions, making the procurement process more transparent and democratic while reducing the risks brought by single-point decision-making.

[0090] like Figure 5 As shown, the S3 includes:

[0091] (1) Procurement demand input: Universities input procurement demands through the procurement management system, including information such as items, quantity, quality requirements, and budget;

[0092] (2) Demand review: Procurement requirements go through an internal review process to ensure the rationality and compliance of the requirements;

[0093] (3) Purchase contract triggering: approved purchase requirements automatically trigger purchase contracts and generate purchase orders based on preset supplier selection criteria (such as product category, price, etc.);

[0094] (4) Order sent to supplier: The purchase order is sent to qualified suppliers through the blockchain network, and the order information is recorded on the blockchain.

[0095] like Figure 2 As shown, in S5, the smart contract automatically determines whether the settlement conditions are met (no need to create a file, successful file creation) based on the purchase order, acceptance results, invoice information, and whether the fixed asset file needs to be created (according to the specific rules and requirements provided by the school, standards such as commodity classification and price); once the settlement conditions are met (the order has been completed, no need to create a file, and settlement is carried out according to the commodity classification and price matching economic classification; the order has been completed, the fixed asset file is successfully created, and settlement is carried out according to standards such as commodity classification, price, and accounting subject matching economic classification), the smart contract executes the settlement operation and transfers the payables from the university finance department to each supplier. The settlement records are recorded on the blockchain to ensure that they cannot be tampered with.

[0096] S6 adds a dynamic feedback and learning mechanism, so that the system can adjust the parameters and rules of the smart contract in real time according to what actually happens during the procurement process and the performance of the supplier. For example, when a supplier's credit rating drops, the system can automatically increase the supplier's warranty requirements or reduce its order priority, thereby continuously optimizing and improving the system's procurement strategy. This mechanism can also help the system adaptively adjust the evaluation model to cope with procurement challenges in different environments.

[0097] In S7, the system regularly collects credit-related data such as supplier's delivery status, acceptance results, default records, etc.; the smart contract automatically conducts credit assessment and generates credit rating based on the collected credit data; the credit rating results are used through the blockchain network to provide reference for future procurement of universities, while promoting healthy competition among suppliers.

[0098] The system monitors all data in the procurement and settlement process in real time to ensure the smooth progress of the process. It conducts in-depth analysis of the data stored on the blockchain to provide data support for the formulation and optimization of university procurement strategies.

[0099] like Figure 3 , Figure 6 As shown, an application system of a smart contract in university procurement and settlement with multiple suppliers provided by an embodiment of the present invention specifically includes:

[0100] Blockchain network module, used as the underlying foundation for data storage and smart contract execution;

[0101] AI forecasting module to predict future purchasing demand and market price fluctuations;

[0102] Demand entry module, used to initiate procurement requirements and review requirements;

[0103] The procurement module is used to automatically trigger the procurement contract and send the purchase order to the qualified supplier through the blockchain network;

[0104] Delivery and acceptance module, used for delivery and acceptance;

[0105] Settlement module, used to execute smart contracts and settle accounts;

[0106] Credit assessment module, used for credit assessment and feedback;

[0107] Feedback module, used to adjust the parameters and rules of smart contracts in real time;

[0108] The monitoring module is used to monitor and analyze various data in the procurement and settlement process in real time.

[0109] like Figure 7 , Figure 8 , Fig. 9 As shown in the figure, the smart contract specifies in detail the key information such as the purchasing standards, prices, quantities, acceptance conditions and settlement methods of various goods or services, and sets the automatic execution conditions for triggering settlement. After receiving the goods, the purchaser will accept them through the system. Once the acceptance is passed, the order status will be displayed as completed, and the system will automatically trigger the settlement conditions in the smart contract. In this smart contract system, the university can trade with multiple suppliers at the same time, and the settlement process of each supplier is independent and automated. The system can automatically process orders, acceptance and settlement requests from different suppliers, avoiding manual coordination and errors in traditional methods. At the same time, the system also provides suppliers with real-time transaction status and settlement progress query functions, enhancing communication and trust between suppliers and universities.

[0110] It should be noted that the embodiments of the present invention can be implemented by hardware, software, or a combination of software and hardware. The hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or dedicated design hardware. It can be understood by a person of ordinary skill in the art that the above-mentioned devices and methods can be implemented using computer executable instructions and / or contained in a processor control code, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. Such code is provided on the carrier medium. The device and its modules of the present invention can be implemented by hardware circuits such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., can also be implemented by software executed by various types of processors, and can also be implemented by a combination of the above-mentioned hardware circuits and software, such as firmware.

[0111] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any modifications, equivalent substitutions and improvements made by any technician familiar with the technical field within the technical scope disclosed by the present invention and within the spirit and principle of the present invention should be covered by the protection scope of the present invention.

Claims

1. A method for applying smart contracts in university procurement and settlement with multiple suppliers, characterized in that: The method specifically includes: S1: System initialization and setup, deployment of blockchain network and smart contracts; S2: Based on artificial intelligence, we predict future procurement demand and market price fluctuations, introduce a decentralized autonomous organization (DAO) mechanism, and allow multiple parties involved in the procurement process to participate in the formulation and execution of procurement decisions; S3: Initiate a purchase demand, automatically trigger a purchase contract after passing internal review, generate a purchase order and send it to the supplier; S4: The supplier delivers the items according to the purchase order requirements, and the university inspects the delivered items. The inspection results are recorded through the blockchain network; S5: The smart contract automatically determines whether the settlement conditions are met. If so, the settlement operation is executed; S6: Dynamic feedback and learning, the system adjusts the parameters and rules of the smart contract in real time based on what actually happens during the procurement process and the performance of the supplier; S7: The system regularly collects relevant data from suppliers, conducts credit assessment and feedback, monitors various data in the procurement and settlement process in real time, and conducts in-depth analysis of the data stored on the blockchain.

2. The method for applying the smart contract in university procurement and settlement with multiple suppliers as claimed in claim 1 is characterized in that: S1, builds a distributed network based on blockchain technology as the underlying foundation for data storage and smart contract execution; writes smart contracts according to the specific needs of university procurement and settlement with multiple suppliers, and deploys them on the blockchain network. Smart contracts include but are not limited to procurement contracts, settlement contracts and credit assessment contracts.

3. The method for applying the smart contract in university procurement and settlement with multiple suppliers as claimed in claim 1 is characterized in that: The S2 introduces an artificial intelligence-based predictive analysis module, which predicts future procurement demand and market price fluctuations by conducting in-depth learning on multi-dimensional data such as historical procurement data, market trends, and supplier behavior patterns; introduces a decentralized autonomous organization (DAO) mechanism in the blockchain network, allowing multiple parties involved in the procurement process to jointly participate in the formulation and execution of procurement decisions. Through smart contracts, DAO members can vote, make suggestions, or make decisions.

4. The method for applying the smart contract in university procurement and settlement with multiple suppliers as claimed in claim 1 is characterized in that: The S3 includes: (1) Procurement demand input: Universities input procurement demands, including items, quantities, quality requirements, and budget information, through the procurement management system; (2) Demand review: Procurement requirements go through an internal review process to ensure the rationality and compliance of the requirements; (3) Purchase contract triggering: approved purchase requirements automatically trigger purchase contracts and generate purchase orders based on preset supplier selection criteria; (4) Order sent to supplier: The purchase order is sent to qualified suppliers through the blockchain network, and the order information is recorded on the blockchain.

5. The method for applying the smart contract in university procurement and settlement with multiple suppliers as claimed in claim 1 is characterized in that: In S5, the smart contract automatically determines whether the settlement conditions are met based on the purchase order, acceptance results, invoice information, and whether fixed asset filing is required; once the settlement conditions are met, the smart contract executes the settlement operation and transfers the payables from the university finance department to each supplier. The settlement records are recorded on the blockchain to ensure that they cannot be tampered with.

6. The method for applying the smart contract in university procurement and settlement with multiple suppliers as claimed in claim 1 is characterized in that: In S7, the system regularly collects the supplier's delivery status, acceptance results, default records and credit-related data; Smart contracts automatically conduct credit assessments and generate credit ratings based on the collected credit data.

7. An application system based on the smart contract as described in claims 1-6 in university procurement and settlement with multiple suppliers, characterized in that: The system specifically includes: Blockchain network module, used as the underlying foundation for data storage and smart contract execution; AI forecasting module to predict future purchasing demand and market price fluctuations; Demand entry module, used to initiate procurement requirements and review requirements; The procurement module is used to automatically trigger the procurement contract and send the purchase order to the qualified supplier through the blockchain network; Delivery and acceptance module, used for delivery and acceptance; Settlement module, used to execute smart contracts and settle accounts; Credit assessment module, used for credit assessment and feedback; Feedback module, used to adjust the parameters and rules of smart contracts in real time; The monitoring module is used to monitor and analyze various data in the procurement and settlement process in real time.

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