Idle resource transaction order service management system

Abstract

The invention discloses an idle resource transaction order service management system, and relates to the technical field of resource management and transaction, and the system comprises the following components: a resource supply module which provides the functions of user registration, login, resource release, search and transaction, and a user browses and searches various idle resources through the module; according to the intelligent recommendation system, the intelligent recommendation system and the standardized auditing and detecting process are adopted, meanwhile, idle resource information of a user is released, the idle resource information comprises machine equipment, office supplies, tailings and excess materials, the browsing history, transaction records and preferences of the user are analyzed through the big data analysis technology, and key information is extracted and used for intelligent recommendation. According to the technical scheme, efficient utilization and appreciation of resources are achieved, the system can intelligently recommend the most appropriate idle resources according to the requirements and preferences of the users, the matching efficiency of the resources is improved, meanwhile, the quality and state of the resources are ensured through the standardized auditing and detecting process, and the utilization rate of the resources is further improved.

Description

Technical Field

[0001] The present invention relates to the field of resource management and transaction technology, and in particular to an idle resource transaction order service management system. Background Art

[0002] In today's rapidly developing economic environment, enterprise resource management has become the key to improving competitiveness. With the expansion of production scale and the diversification of business models, enterprises have accumulated a large number of idle resources, including but not limited to excess production equipment, underutilized office facilities, and surplus materials. These resources were originally part of the company's assets, but were not fully utilized during a specific period of time. They not only occupied valuable storage space, but also caused the sedimentation of funds, affecting the company's financial flexibility. Faced with this challenge, companies urgently need to seek effective solutions to activate these "sleeping" assets and transform them into new driving forces for business growth.

[0003] However, existing resource management and trading platforms often have significant limitations and cannot meet the needs of enterprises for efficient management and reuse of idle resources. First, the information asymmetry problem of traditional platforms is prominent, and it is difficult for both supply and demand sides to find matching resources quickly and accurately, resulting in low transaction efficiency. Secondly, the resource evaluation and pricing process is highly subjective and lacks unified standards, which can easily lead to underestimation or overestimation of resource value, affecting the fairness and rationality of transactions. In addition, the logistics, payment and after-sales links in the resource transaction process lack integrated management, which increases transaction costs and risks and reduces user experience. Finally, due to the lack of an effective supervision and credit system, it is difficult for both parties to establish trust, which limits the expansion and application scope of the platform.

[0004] The resource trading system under the existing technical framework has exposed a series of fundamental drawbacks, which hinder the healthy development of the idle resource market. On the one hand, the lag in technology application has limited the real-time sharing and intelligent matching of resource information, resulting in slow resource flow, sluggish market response, and inability to quickly adapt to market changes and capture business opportunities. On the other hand, the lack of intelligent data analysis methods makes it difficult for enterprises to accurately grasp the potential value and market demand of resources, and miss the opportunity to optimize resource allocation and improve efficiency. Moreover, transaction security and transparency are insufficient, disputes and fraud incidents frequently occur, which damage the market reputation and inhibit the enthusiasm of participants. Therefore, the development of an idle resource transaction order service management system that comprehensively solves the above problems is of great significance to promoting efficient resource allocation, stimulating market vitality, and promoting sustainable economic and social development. Summary of the invention

[0005] The purpose of the present invention is to make up for the shortcomings of the prior art and provide an idle resource transaction order service management system, which can accurately match the supply and demand of resources through an integrated intelligent recommendation system based on big data analysis technology, so that idle resources can be quickly converted into value. This is not limited to direct transactions, but also includes the secondary utilization of resources, such as equipment disassembly, component replacement, equipment assembly, etc., thereby improving the overall utilization efficiency and economic value of resources, realizing resource detection and intelligent pricing, ensuring price fairness, and further promoting the efficient circulation and added value of resources.

[0006] In order to solve the above technical problems, the present invention provides the following technical solution: an idle resource transaction order service management system, characterized in that the system includes the following components:

[0007] Resource supply module: provides user registration, login, resource publishing, search and transaction functions. Users can browse and search for various idle resources through this module, and publish their own idle resource information, including machinery and equipment, office supplies, and leftover materials. By using big data analysis technology, users' browsing history, transaction records and preferences are analyzed to extract key information for intelligent recommendation.

[0008] Resource demand module: provides multiple channels to help enterprises discover and obtain the idle resources they need, improves the value of resources through equipment disassembly, component replacement and equipment assembly, uses big data technology to identify images and videos of resource conditions, automatically completes resource detection and intelligent pricing, ensures fair and reasonable prices, reviews resource conditions and pricing, and records them on the blockchain;

[0009] Intelligent recommendation module: Based on the data provided by resource supply and demand, it uses artificial intelligence technology to achieve intelligent matching and recommendation of resources. According to the user's preferences and needs, it recommends the most suitable idle resources to the user, and recommends potential buyers to the resource supplier, analyzes the liquidity and existing value of resources, and optimizes the supply and demand relationship of resources;

[0010] Transaction management module: This module is responsible for processing user transaction requests, including order generation, payment, delivery and receipt. At the same time, this module also provides order tracking and management functions to ensure the smooth progress of the transaction process;

[0011] Third-party cooperation module: Enterprises entrust idle resources to the platform for management and trading, use idle resources for investment, participate in resource reorganization and value-added, and realize profit sharing through resource processing, product generation and sales.

[0012] Furthermore, the specific steps of the resource supply module are:

[0013] User registration and login: Users enter their personal information on the registration page to complete registration, and enter their username and password on the login page to complete login;

[0014] Resource release: After logging in, users can release idle resource information through the resource release page. The released information includes resource type: machinery and equipment, office supplies, leftover materials, resource description, pictures and videos, and price;

[0015] Resource search and browsing: Users enter keywords in the search bar to search for resources of interest. The system uses a full-text search algorithm to quickly match and display relevant resources based on the keywords entered by the user.

[0016] Intelligent recommendation: Based on collaborative filtering, key information is extracted according to the user's browsing history, transaction records and preferences, and resources that may be of interest to the user are recommended;

[0017] Resource review and detection: The system reviews the resources released by users, including resource status review and pricing review. After the resource review is passed, the resource information is recorded on the blockchain to ensure the information is tamper-proof and transparent.

[0018] Furthermore, when the resource supply module searches and browses resources, the published idle resource information is indexed and retrieved through the term frequency-inverse document frequency TF-IDF algorithm in the full-text retrieval algorithm to improve the search efficiency and accuracy. The weighted technology used for information retrieval and text mining evaluates the importance of a word to a file set and one of the files in a corpus. When a user publishes idle resource information, the system will segment the resource description and calculate the TF-IDF value of each word, and store these words and the corresponding TF-IDF values ​​in the index. When a user searches for resources, the system will retrieve the resource information most relevant to the search keyword from the index based on the TF-IDF value of the search keyword, and display it to the user after sorting by relevance, that is: TF-IDF(t,d)=TF(t,d)×IDF(t), TF(t,d) represents the term frequency of word y in document d, and IDF(t) represents the inverse document frequency of word t.

[0019] Furthermore, the resource supply module uses user-based collaborative filtering to calculate the similarity between users to recommend resources through intelligent recommendation, analyzes the user's historical behavior data, including browsing history, transaction history, and ratings, and uses the cosine similarity method to calculate the similarity between users, namely: s u,v represents the similarity between user u and user v, r u,i and r v,iDenote the ratings of user u and user v on resource i, respectively. I denotes the set of all resources. According to the similarity, the k users most similar to the target user are selected. According to the historical behaviors of these similar users, the predicted ratings of the target user on the unrated resources are calculated, and a recommendation list is generated, namely: represents the predicted score, N(u) represents the set of k users most similar to user u, and s u,v represents the similarity between user u and user v, r vi represents the rating of user v on resource i.

[0020] Furthermore, the specific steps of the resource demand module are:

[0021] Resource search and discovery: Users can use the platform's search function to enter keywords and filter conditions to find the idle resources they need. The system will display a list of resources that meet the conditions, and users can browse resource details.

[0022] Resource detection and review: The system uses images and videos for intelligent matching, automatically detects resources, and evaluates resource status. Resource detection results are reviewed through a standardized review process to ensure the accuracy and reliability of resource information;

[0023] Smart pricing: The system uses smart pricing algorithms to intelligently price resources to ensure fair and reasonable prices. After the pricing is reviewed and approved, the pricing information is recorded on the blockchain;

[0024] Resource value enhancement: Enhance the value of resources through equipment disassembly, component replacement and equipment assembly. The system provides detailed operation guidance to ensure the standardization and efficiency of the resource value enhancement process;

[0025] Resource audit records: All resource detection, audit and pricing information is recorded on the blockchain to ensure transparency and immutability of the information.

[0026] Furthermore, the resource demand module is used to optimally match resource demanders with suppliers through an intelligent matching algorithm, based on the preferences of both parties, the type, status, location of resource attributes and transaction history, to maximize the satisfaction of both parties' matching goals. For each resource r and each demand d, a matching score S(r, d) is calculated, that is: r i and d i are the i-th eigenvalues ​​of the resource and demand vectors respectively, n is the number of features, and more factors, including geographic location, transaction reputation, and priority, are considered to adapt to market changes and learn new transaction patterns.

[0027] Furthermore, the resource demand module is used to determine the market price of idle resources through an intelligent pricing algorithm, taking into account factors such as the service life of resources, degree of wear and tear, scarcity of market resources, and expected profit of suppliers, and based on cost plus and market supply and demand, formulates and predicts a reasonable price for resources. The algorithm formula is: P = α×C+β×M+γ, where P is the final price, C is the cost, including the original cost of the resource and the maintenance and renovation cost, M is the market demand index, based on the historical average price of past transaction data and current market trends, α and β are weight coefficients used to adjust the impact of cost and market demand, and γ is a constant term representing the basic profit margin.

[0028] Furthermore, the intelligent recommendation module obtains the idle resource information released by the resource supply module, including resource type, status, and price, collects the enterprise's demand information from the resource demand module, including the required resource type and expected use, analyzes the user's historical browsing records, transaction records, and preferences, extracts key information, and uses the collaborative filtering algorithm in the machine learning algorithm to recommend resources. According to resource status, user needs, and market dynamics, the intelligent recommendation module intelligently matches the supply and demand sides to improve resource liquidity and value, that is: R ui represents the predicted rating of user u for item i, represents the average rating of user u, R uj represents the historical rating of item j by user u, sim(i,j) represents the similarity between item i and item j, and N(u) represents the set of items associated with user u. Based on the above analysis, the system generates a recommendation strategy to recommend the most suitable idle resources to users, and also recommends potential buyers to resource suppliers. The recommendation algorithm is continuously optimized based on market feedback and transaction results.

[0029] Furthermore, in the transaction management module, the user selects idle resources and submits a purchase request. The system generates an order, including the order number, resource information, buyer information, seller information, and transaction amount. The user selects a payment method to make a payment. The system connects with the payment gateway, processes the payment request, and updates the order status to "paid". The seller confirms the order and arranges for shipment. The system generates a logistics order number and updates the shipment information to the order. The order status is updated to "shipped". After the user receives the goods, he confirms receipt through the system. The system updates the order status to "received". Users and sellers can track the order status in real time through the system, and order management functions are provided, including order inquiry, order cancellation, and after-sales service.

[0030] Furthermore, the third-party cooperation module entrusts the idle resources of the enterprise to the platform for management and trading. The system records the detailed information of the resources, including resource type, quantity, and status, and evaluates and prices the entrusted idle resources. The enterprise can choose to invest the idle resources and participate in resource reorganization and value-added. The system formulates a resource processing plan according to the characteristics of the resources. Resource processing includes the steps of equipment disassembly, component replacement, and equipment assembly to enhance the value of resources and generate new products through resource processing. The system records the detailed information of the generated products, including product type, quantity, and status, and puts the generated products on the shelves for sale. The enterprise sells products through the platform to realize profit sharing. The system calculates the enterprise's profit sharing based on the sales situation, and the enterprise can choose to withdraw the profit sharing or continue to invest.

[0031] Compared with the prior art, the idle resource transaction order service management system has the following beneficial effects:

[0032] 1. The present invention realizes efficient utilization and value-added of resources through an intelligent recommendation system and standardized review and detection processes. The system can intelligently recommend the most suitable idle resources according to user needs and preferences, improve resource matching efficiency, and at the same time, through standardized review and detection processes, ensure the quality and status of resources, and further improve resource utilization.

[0033] 2. The present invention adopts blockchain technology to record resource status, pricing and transaction process, ensuring the traceability and non-tamperability of each transaction, greatly enhancing the security of the system and the transparency of transactions. This mechanism helps to establish trust between the two parties to the transaction and reduce potential fraud. At the same time, it also provides a reliable chain of evidence for resolving transaction disputes, protects the rights and interests of all participants, and creates a healthier and more stable market environment.

[0034] Other advantages, objectives and features of the present invention will be set forth in part in the following description and, in part, will be apparent to those skilled in the art based on an examination of the following or may be taught from the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0036] Figure 1 This is the process operation diagram of the idle resource transaction order service management system.

[0037] Figure 2 Flow chart of the idle resource transaction order service management system. DETAILED DESCRIPTION

[0038] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] Embodiment 1

[0040] This embodiment provides an idle resource transaction order service management system. Through an intelligent recommendation system and a standardized review and inspection process, the system can accurately match supply and demand parties, ensuring that idle resources can quickly find suitable demanders, thereby achieving efficient utilization and added value of resources, which not only reduces resource waste, but also brings additional economic benefits to the enterprise.

[0041] In the specific implementation, the system resource supply module allows users to complete registration by entering their basic personal information, and then log in to the system using their username and password. Users publish idle resource information, including resource type, description, pictures, videos and price. Users can search by keywords, and the system uses full-text retrieval algorithms such as TF-IDF: TF-IDF(t,d)=TF(t,d)×IDF(t) to quickly match and display relevant resources. The system analyzes the user's browsing history, transaction records and preferences, extracts key information, and uses collaborative filtering algorithms to recommend resources that may be of interest to users. The system reviews the published resources, including resource status and pricing. After the review is passed, the information is recorded on the blockchain.

[0042] Users enter keywords and screening conditions through the resource demand module to find the idle resources they need. The system uses images and videos for intelligent matching, evaluates resource status, and ensures information accuracy through standardized process audits. The system uses an intelligent pricing algorithm to comprehensively consider resource status and market supply and demand and give a fair price. Pricing information is also recorded on the blockchain. The value of resources is enhanced through equipment disassembly, component replacement, and equipment assembly. The system provides operational guidance to ensure standardization and efficiency. Based on the preferences of both parties, resource attributes, and transaction history, the system calculates matching scores to achieve the best match between supply and demand.

[0043] The intelligent recommendation module collects resource information and enterprise demand information, analyzes user historical behavior, and uses machine learning algorithms to recommend resources. It intelligently matches supply and demand based on resource conditions, user needs, and market dynamics to improve resource liquidity and value. Based on market feedback and transaction results, it continuously optimizes the recommendation algorithm and generates recommendation strategies for users and suppliers.

[0044] The user selects resources and submits a purchase request. The system generates an order containing the order number, resource information, buyer and seller information, and transaction amount. The user selects a payment method, and the system connects to the payment gateway to process the payment and updates the order status to "paid". After the seller confirms the order, the system arranges shipment. The system generates a logistics order number and updates the order status to "shipped". After the user confirms receipt, the system updates the order status to "received" and provides order tracking and management functions.

[0045] Through the third-party cooperation module, enterprises entrust idle resources to the platform. The system records detailed resource information, conducts evaluation and pricing. Enterprises can choose to invest the resources and participate in resource reorganization and value-added. The platform formulates resource processing plans, including disassembly, replacement, and assembly to enhance the value of resources. The processed products are put on sale. Enterprises realize profit sharing by selling products through the platform. The system calculates the enterprise's profit sharing based on sales. Enterprises can choose to withdraw cash or continue to invest.

[0046] This embodiment effectively solves the problem of efficient resource management and reuse through an integrated intelligent recommendation system, standardized review and detection process, blockchain technology and intelligent matching algorithm, promotes efficient allocation and value-added of resources, improves the security and transparency of transactions, and is of great significance for promoting sustainable economic and social development.

[0047] Embodiment 2

[0048] The idle resource transaction order service management system in this embodiment particularly emphasizes the use of technical means such as intelligent recommendation, big data analysis and blockchain records to achieve efficient management and transaction of idle resources, improve resource utilization, reduce enterprise costs, enhance system security, and has broad commercial application prospects.

[0049] First, the user enters personal information, including name, email address, and contact information, through the registration page of the resource supply module to complete the registration, and enters the user name and password through the login page to complete the login. After the user logs in, the idle resource information is published through the resource publishing page. The published information includes the resource type. The user enters keywords through the search bar to search for resources of interest. The system uses the full-text retrieval algorithm (TF-IDF algorithm) according to the keywords entered by the user: TF-IDF(t,d)=TF(t,d)×IDF(t) to quickly match and display relevant resources. The system is based on the collaborative filtering algorithm. According to the user's browsing history, transaction records and preferences, it extracts key information and recommends resources that may be of interest to the user.

[0050] Then, through intelligent recommendation, we use collaborative filtering based on users to calculate the similarity between users to recommend resources, analyze the user's historical behavior data, including browsing history, transaction history, and ratings, and use the cosine similarity method to calculate the similarity between users, namely: Select the k users most similar to the target user based on similarity, calculate the target user's predicted rating for unrated resources based on the historical behaviors of these similar users, and generate a recommendation list, namely: The resource detection results are audited through a standardized audit process to ensure the accuracy and reliability of resource information. The system uses an intelligent pricing algorithm: P = α × C + β × M + γ to intelligently price resources to ensure fair and reasonable prices. After the pricing review is passed, the reasonable price of the resources is calculated through cost addition and market supply and demand analysis. The pricing results are recorded on the blockchain after review to ensure price transparency and non-tamperability. The value of resources is enhanced through equipment disassembly, component replacement and equipment assembly. The system provides detailed operational guidance and solution support to ensure the standardization and efficiency of the value enhancement process. The system uses blockchain technology to record every link of resource transactions, including resource release, detection and audit, pricing records, and transaction confirmation. Each record contains a timestamp and the identity information of both parties to the transaction to ensure the traceability and security of the transaction process.

[0051] Finally, the idle resource information released is obtained from the resource supply module, including resource type, status, and price. The enterprise demand information is collected from the resource demand module, including the required resource type and expected use. The user's historical browsing history, transaction records, and preferences are analyzed to extract key information. The collaborative filtering algorithm in the machine learning algorithm is used to recommend resources. According to resource status, user needs, and market dynamics, the supply and demand sides are intelligently matched to improve resource liquidity and value, namely: Generate recommendation strategies to recommend the most suitable idle resources to users, and also recommend potential buyers to resource suppliers. Continuously optimize the recommendation algorithm based on market feedback and transaction results.

[0052] In addition, enterprises entrust idle resources to the platform for management and trading. The system records detailed information of the resources, including resource type, quantity, and status. The system evaluates and prices the entrusted idle resources. Enterprises can choose to invest idle resources and participate in resource reorganization and value-added. According to the characteristics of the resources, resource processing plans are formulated. Resource processing includes equipment disassembly, component replacement, equipment assembly and other steps to enhance the value of resources. New products are generated through resource processing. The system records detailed information of the generated products, including product type, quantity, and status. The system puts the generated products on the shelves for sale. Enterprises sell products through the platform to realize profit sharing. The system calculates the company's profit sharing based on sales. Enterprises can choose to withdraw the profit sharing or continue to invest.

[0053] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. Idle resource transaction order service management system, characterized in that: The system consists of the following components: Resource supply module: provides user registration, login, resource publishing, search and transaction functions. Users can browse and search for various idle resources through this module, and publish their own idle resource information, including machinery and equipment, office supplies, and leftover materials. By using big data analysis technology, users' browsing history, transaction records and preferences are analyzed to extract key information for intelligent recommendation. Resource demand module: provides multiple channels to help enterprises discover and obtain the idle resources they need, improves the value of resources through equipment disassembly, component replacement and equipment assembly, uses big data technology to identify images and videos of resource conditions, automatically completes resource detection and intelligent pricing, ensures fair and reasonable prices, reviews resource conditions and pricing, and records them on the blockchain; Intelligent recommendation module: Based on the data provided by resource supply and demand, it uses artificial intelligence technology to achieve intelligent matching and recommendation of resources. According to the user's preferences and needs, it recommends the most suitable idle resources to the user, and recommends potential buyers to the resource supplier, analyzes the liquidity and existing value of resources, and optimizes the supply and demand relationship of resources; Transaction management module: This module is responsible for processing user transaction requests, including order generation, payment, delivery and receipt. At the same time, this module also provides order tracking and management functions to ensure the smooth progress of the transaction process; Third-party cooperation module: Enterprises entrust idle resources to the platform for management and trading, use idle resources for investment, participate in resource reorganization and value-added, and realize profit sharing through resource processing, product generation and sales.

2. The idle resource transaction order service management system according to claim 1, characterized in that: The specific steps of the resource supply module are: User registration and login: Users enter their personal information on the registration page to complete registration, and enter their username and password on the login page to complete login; Resource release: After logging in, users can release idle resource information through the resource release page. The released information includes resource type: machinery and equipment, office supplies, leftover materials, resource description, pictures and videos, and price; Resource search and browsing: Users enter keywords in the search bar to search for resources of interest. The system uses a full-text search algorithm to quickly match and display relevant resources based on the keywords entered by the user. Intelligent recommendation: Based on collaborative filtering, key information is extracted according to the user's browsing history, transaction records and preferences, and resources that may be of interest to the user are recommended; Resource review and detection: The system reviews the resources released by users, including resource status review and pricing review. After the resource review is passed, the resource information is recorded on the blockchain to ensure the information is tamper-proof and transparent.

3. The idle resource transaction order service management system according to claim 1, characterized in that: When the resource supply module searches and browses resources, the published idle resource information is indexed and retrieved through the term frequency-inverse document frequency TF-IDF algorithm in the full-text retrieval algorithm to improve the search efficiency and accuracy. The weighted technology used for information retrieval and text mining evaluates the importance of a word to a file set and one of the files in a corpus. When a user publishes idle resource information, the system will segment the resource description and calculate the TF-IDF value of each word, and store these words and the corresponding TF-IDF values ​​in the index. When a user searches for resources, the system will retrieve the resource information most relevant to the search keyword from the index based on the TF-IDF value of the search keyword, and display it to the user after sorting by relevance, that is: TF-IDF(t,d)=TF(t,d)×IDF(t), TF(t,d) represents the term frequency of word y in document d, and IDF(t) represents the inverse document frequency of word t.

4. The idle resource transaction order service management system according to claim 3, characterized in that: The resource supply module recommends resources through intelligent recommendation by using user-based collaborative filtering to calculate the similarity between users, analyzes the user's historical behavior data, including browsing records, transaction records, and ratings, and uses the cosine similarity method to calculate the similarity between users, namely: s u,v represents the similarity between user u and user v, r u,i and r v,i Denote the ratings of user u and user v on resource i, respectively. I denotes the set of all resources. According to the similarity, the k users most similar to the target user are selected. According to the historical behaviors of these similar users, the predicted ratings of the target user on the unrated resources are calculated, and a recommendation list is generated, namely: represents the predicted score, N(u) represents the set of k users most similar to user u, and s u,v represents the similarity between user u and user v, r vi represents the rating of user v on resource i.

5. The idle resource transaction order service management system according to claim 1, characterized in that: The specific steps of the resource demand module are: Resource search and discovery: Users can use the platform's search function to enter keywords and filter conditions to find the idle resources they need. The system will display a list of resources that meet the conditions, and users can browse resource details. Resource detection and review: The system uses images and videos for intelligent matching, automatically detects resources, and evaluates resource status. Resource detection results are reviewed through a standardized review process to ensure the accuracy and reliability of resource information. Smart pricing: The system uses smart pricing algorithms to intelligently price resources to ensure fair and reasonable prices. After the pricing is reviewed and approved, the pricing information is recorded on the blockchain; Resource value enhancement: Enhance the value of resources through equipment disassembly, component replacement and equipment assembly. The system provides detailed operation guidance to ensure the standardization and efficiency of the resource value enhancement process; Resource audit records: All resource detection, audit and pricing information is recorded on the blockchain to ensure transparency and immutability of the information.

6. The idle resource transaction order service management system according to claim 5, characterized in that: The resource demand module uses an intelligent matching algorithm to optimally match resource demanders with suppliers, based on the preferences of both parties, the type, status, location of resource attributes, and transaction history, to maximize the satisfaction of both parties' matching goals. For each resource r and each demand d, the matching score S(r, d) is calculated, that is: r i and d i are the i-th eigenvalues ​​of the resource and demand vectors respectively, n is the number of features, and more factors, including geographic location, transaction reputation, and priority, are considered to adapt to market changes and learn new transaction patterns.

7. The idle resource transaction order service management system according to claim 6, characterized in that: The resource demand module is used to determine the market price of idle resources through an intelligent pricing algorithm, taking into account the factors of the resource's service life, degree of wear and tear, scarcity of market resources and the supplier's expected profit, and based on cost plus and market supply and demand, formulates and predicts the reasonable price of resources. The algorithm formula is: P = α×C+β×M+γ, where P is the final price, C is the cost, including the original cost of the resource and the maintenance and renovation cost, M is the market demand index, based on the historical average price of past transaction data and current market trends, α and β are weight coefficients used to adjust the impact of cost and market demand, and γ is a constant term representing the basic profit margin.

8. The idle resource transaction order service management system according to claim 1, characterized in that: The intelligent recommendation module obtains the idle resource information released by the resource supply module, including resource type, status, and price, collects the enterprise's demand information from the resource demand module, including the required resource type and expected use, analyzes the user's historical browsing records, transaction records, and preferences, extracts key information, and uses the collaborative filtering algorithm in the machine learning algorithm to recommend resources. According to resource status, user needs, and market dynamics, it intelligently matches supply and demand, and improves resource liquidity and value, that is: R ui represents the predicted rating of user u for item i, represents the average rating of user u, R uj represents the historical rating of item j by user u, sim(i,j) represents the similarity between item i and item j, and N(u) represents the set of items associated with user u. Based on the above analysis, the system generates a recommendation strategy to recommend the most suitable idle resources to users, and also recommends potential buyers to resource suppliers. The recommendation algorithm is continuously optimized based on market feedback and transaction results.

9. The idle resource transaction order service management system according to claim 1, characterized in that: In the transaction management module, the user selects idle resources and submits a purchase request. The system generates an order, including the order number, resource information, buyer information, seller information, and transaction amount. The user selects a payment method to make a payment. The system connects with the payment gateway, processes the payment request, and updates the order status to "paid". The seller confirms the order and arranges the shipment. The system generates a logistics order number and updates the shipment information to the order. The order status is updated to "shipped". After the user receives the goods, he confirms the receipt through the system. The system updates the order status to "received". Users and sellers can track the order status in real time through the system, and order management functions are provided, including order query, order cancellation, and after-sales service.

10. The idle resource transaction order service management system according to claim 1, characterized in that: The third-party cooperation module is that the enterprise entrusts the idle resources to the platform for management and trading. The system records the detailed information of the resources, including the resource type, quantity, and status, and evaluates and prices the entrusted idle resources. The enterprise can choose to invest the idle resources and participate in resource reorganization and value-added. The system formulates a resource processing plan according to the characteristics of the resources. Resource processing includes the steps of equipment disassembly, component replacement, and equipment assembly to enhance the value of resources. New products are generated through resource processing. The system records the detailed information of the generated products, including product type, quantity, and status, and puts the generated products on the shelves for sale. The enterprise sells products through the platform to realize profit sharing. The system calculates the enterprise's profit sharing based on the sales situation. The enterprise can choose to withdraw the profit sharing or continue to invest.

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