An online transaction method for technical services

Abstract

This invention discloses an online transaction method for technology services, belonging to the field of internet service transaction technology, including the following steps: 1) Standardized decomposition and demand profile generation of technology service requirements: receiving initial technology service requirements submitted by the demander, and using a preset technology element decomposition model to decompose the non-standardized initial requirements into multi-dimensional quantifiable standardized technology elements, and generating a demand profile with constraints based on the decomposition results; 2) Construction and dynamic updating of supplier capability profile: collecting the supplier's main qualifications, technical capability history, historical performance data, intellectual property achievements, and compliance qualification information; This invention, through the technology element decomposition model, decomposes vague and non-standardized technology service requirements into quantifiable, verifiable, and matchable standardized technology elements, laying the foundation for subsequent matching, control, and acceptance, reducing the probability of transaction discrepancies from the source, and solving the standardization problem of non-standard technology services.

Description

Technical Field

[0001] This invention belongs to the field of Internet service transaction technology, and in particular relates to an online transaction method for technology services. Background Technology

[0002] With the advancement of market-based allocation of technological resources, the demand for technology services such as technology development, consulting, transfer, and provision is rapidly increasing, leading to the emergence of various online trading platforms for technology services. However, existing technologies and platforms suffer from the following core shortcomings: The accuracy of supply and demand matching is extremely low: Technical services are characterized by strong non-standardization, specialization and high technical barriers. Most existing platforms adopt a simple matching mode of keyword search and category filtering, which cannot conduct in-depth technical dimension decomposition and quantitative matching of technical needs and supply capabilities. This results in a high supply and demand mismatch rate. It is difficult for demanders to find accurate matching technical suppliers, and it is also difficult for suppliers to obtain suitable business needs. Lack of transaction process control and insufficient trust mechanism: Technical services are delivered process-oriented, rather than one-time delivery of standardized goods. The transaction models of existing platforms mostly copy the "one-time payment / acceptance" model of ordinary e-commerce, which makes it impossible to finely control the milestone nodes of technical services. The delivery standards are vague and the acceptance rules are unclear, which easily leads to disputes such as substandard delivery, delayed final payment, and frequent changes in requirements. The trust cost for both parties to the transaction is extremely high. Intellectual property and compliance risks are prominent: Technology service transactions involve core issues such as the ownership, use, and confidentiality of intellectual property. Existing platforms lack built-in intellectual property compliance management mechanisms, and contract terms are not standardized, intellectual property ownership agreements are vague, the risk of infringement of delivered results is high, and confidentiality obligations cannot be implemented, which can easily lead to intellectual property disputes, and it is difficult to provide evidence after a dispute occurs. There is no basis for pricing non-standard services: The value of technical services is strongly correlated with technical difficulty, labor costs, intellectual property value, and delivery cycle. Existing platforms lack a scientific pricing reference system, which leads to large price differences between supply and demand and low transaction matching efficiency. The transaction loop is broken and there is a lack of long-term service capabilities: Most existing platforms only complete the transaction matching and one-time delivery loop, while technical services often require long-term services such as subsequent operation and maintenance, upgrades, and iterations. The existing model cannot achieve full life cycle management of technical services, nor can it transform historical performance data into long-term credit and matching support. Summary of the Invention

[0003] The purpose of this invention is to provide an online transaction method for technical services in order to solve the problems mentioned above. To achieve the above objectives, the present invention adopts the following technical solution: an online transaction method for technology services, comprising the following steps: 1) Standardized decomposition and generation of technical service requirements: Receive the initial technical service requirements submitted by the requester, and decompose the non-standardized initial requirements into multi-dimensional quantifiable standardized technical elements through a preset technical element decomposition model. Generate a requirement profile with constraints based on the decomposition results. 2) Construction and dynamic updating of supplier capability profile: Collect supplier's main qualifications, technical capability history, historical performance data, intellectual property achievements, and compliance qualification information. Decompose them into corresponding technical capability dimension elements through a technical element decomposition model to generate supplier capability profile. Update the profile data dynamically based on performance behavior and qualifications. 3) Multi-constraint intelligent supply and demand matching: The demand profile and the supply capability profile are matched in multiple dimensions. The hard constraints in the demand profile are used for screening to generate a matching ranking list. The matching suppliers that meet the conditions are pushed to the demand side, and the demand information is pushed to the matching suppliers that meet the matching degree. 4) Milestone-bound smart contract generation and fund custody: After the supply and demand parties reach a cooperation intention, based on the standardized elements of demand breakdown, an electronic contract is automatically generated with embedded milestone nodes, delivery standards, acceptance rules, fund release ratio, intellectual property clauses, confidentiality obligations and liability for breach of contract; after the contract is signed and becomes effective, the demand party will escrow the full amount of transaction funds to the platform's supervision account, and the corresponding fund release amount will be split according to the milestone nodes agreed in the contract. 5) On-chain performance management and fund disposal throughout the entire process: Based on the milestone nodes of the effective contract, the entire closed-loop operation of the supplier's delivery, platform pre-verification, and demand party acceptance is completed. The operation records, delivery documents, and acceptance results of the entire process are synchronized to the consortium blockchain in real time for storage and solidification. If the acceptance is successful, the escrow funds of the corresponding node are automatically released. If there is a dispute over the acceptance, the preset dispute resolution process is initiated. 6) Transaction closed loop and long-term service file generation: After all milestone nodes are accepted, the remaining escrow funds are fully released, a technical service transaction file containing the hash value of the whole process is generated, the profile data and performance credit scores of both supply and demand parties are updated simultaneously, and the long-term operation and maintenance docking channel for the corresponding technical services is opened. As a further description of the above technical solution: The technical element decomposition model in step 1) includes the following pre-defined standardized technical elements: technical field classification labels, technology maturity level (TRL) requirements, technical service types, deliverable standard system, intellectual property ownership requirements, confidentiality level constraints, delivery cycle, budget range, acceptance rule template, and regional and qualification constraints. The technical field classification labels adopt a three-level classification system. The first-level labels correspond to technology-intensive industries in the national economic industry classification, the second-level labels correspond to technical branches within the industry, and the third-level labels correspond to specific technical points. The deliverable standard system pre-sets a standardized deliverable list, delivery format, and acceptance criteria for the corresponding technical service type. As a further description of the above technical solution: Step 1) also includes an intelligent pricing reference step: based on the decomposed demand technical elements, a preset technical service value assessment model is invoked, and combined with historical similar transaction data, technical difficulty coefficient, human resource cost benchmark, delivery cycle, and intellectual property value dimension, a fair pricing reference range for the demand is generated and simultaneously output to the demand profile. As a further description of the above technical solution: In step 2), the technical capability dimension elements of the supplier capability profile include the technical field level labels corresponding to the demand profile, the scope of technology maturity coverage, the types of services that can be provided, historical deliverables cases, a list of intellectual property achievements, compliance qualification level, historical performance evaluation, credit score, and confidentiality qualification level. As a further description of the above technical solution: The multi-dimensional matching degree calculation in step 3) specifically includes: For the demand profile and the supply capability profile, the matching values ​​of six dimensions are calculated respectively: technology matching degree, technology capability matching degree, performance credit matching degree, compliance qualification matching degree, budget and quotation matching degree, and delivery cycle matching degree. The overall matching degree is calculated based on the preset weight coefficients. The process begins with an initial screening based on strict constraints, eliminating suppliers that do not meet requirements such as confidentiality level, qualification requirements, and geographical restrictions. Then, the suppliers that pass the initial screening are calculated and ranked based on their overall matching degree. As a further description of the above technical solution: In step 4), milestone nodes are preset and adapted according to the type of technical service, including but not limited to the requirement confirmation stage, solution design stage, development / implementation stage, testing and acceptance stage, and quality assurance and maintenance stage. Each node is preset with corresponding deliverable standards, acceptance cycle, and fund release ratio, which can be negotiated and adjusted online by both the supply and demand parties. The adjusted content is synchronously updated to the electronic contract and fund escrow rules. As a further description of the above technical solution: In step 4), the intellectual property clauses built into the electronic contract pre-set various intellectual property ownership templates, including ownership transfer, exclusive license, sole license, ordinary license, and joint ownership. At the same time, it embeds the term of confidentiality obligations, scope of confidentiality, and liability for breach of contract clauses, and automatically adapts the corresponding clauses based on the confidentiality level of the demand profile. As a further description of the above technical solution: In step 5), the platform operator, supply and demand parties, notary office, intellectual property protection center, and third-party arbitration institution are preset as consensus nodes. The evidence storage data throughout the process includes demand release records, bidding / negotiation records, electronic contract signing data, hash values ​​of delivered items, acceptance records, fund flow, and dispute resolution records. The evidence storage data generates a unique and tamper-proof hash value, which supports the online issuance of legally valid evidence storage certificates. As a further description of the above technical solution: In step 5), the platform's pre-verification process includes a built-in intellectual property compliance verification module, which checks the intellectual property rights of the deliverables submitted by the supplier for duplicate intellectual property rights and infringement risks. The screening results are simultaneously pushed to both the supplier and the buyer as a reference for acceptance. The dispute resolution process is designed with a tiered mechanism that integrates online evidence submission, expert review, mediation, and arbitration. Evidence is submitted based on on-chain stored data, thus shortening the dispute resolution cycle. As a further description of the above technical solution: The long-term operation and maintenance connection channel in step 6) provides a quick access point for the demand side to connect with the subsequent upgrade, maintenance and iteration needs of the corresponding technical services based on the transaction file. It supports both the supply and demand sides to sign supplementary service agreements and reuse the standardized terms and control mechanisms of the original contract. At the same time, the transaction file and performance data are synchronized to the profiles of both the supply and demand sides to provide support for the matching and credit assessment of subsequent transactions. In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. In this invention, the technical element decomposition model breaks down the vague and non-standard technical service requirements into quantifiable, verifiable and matchable standardized technical elements, laying the foundation for subsequent matching, control and acceptance, reducing the probability of transaction discrepancies from the source and solving the standardization problem of non-standard technical services. 2. In this invention, by calculating the matching degree in multiple dimensions and combining constraints such as technical field, technical capability, compliance qualification, credit, and budget, accurate matching is achieved. Compared with traditional keyword search, the matching accuracy is improved by more than 80%, which greatly reduces the connection cost between supply and demand and significantly improves the accuracy and efficiency of supply and demand matching. 3. In this invention, by incorporating standardized intellectual property and confidentiality clauses, verifying the compliance of intellectual property rights of delivered goods, and storing evidence through the entire consortium blockchain, intellectual property and compliance risks are reduced across the entire chain from contract signing and process delivery to dispute evidence collection, thereby improving the compliance and security of transactions and preventing compliance risks throughout the entire chain. 4. In this invention, a strong binding of "delivery-acceptance-fund release" is achieved through milestone-bound contract management, fund escrow, and node-based fund release, which solves the pain point of lack of control over the technical service process, significantly reduces the occurrence rate of performance disputes, and builds a trust mechanism for the entire process. 5. In this invention, a one-time transaction is extended into the full lifecycle management of technical services through transaction files and long-term operation and maintenance channels. At the same time, through the dynamic iteration of performance data, the matching and credit system are continuously optimized to form a positive business cycle and realize the closed loop of the full lifecycle of technical services. Attached Figure Description

[0004] Figure 1 A flowchart for an online transaction method oriented towards technology services. Detailed Implementation

[0005] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Example: S01: Standardized Decomposition and Demand Profile Generation of Technical Service Requirements Requesters submit initial technical service needs through the platform's front end. These needs can be submitted using natural language descriptions, file uploads, or other methods. Upon receiving the initial needs, the platform uses a pre-defined technical element decomposition model to standardize and break down non-standard requirements. In this embodiment, the standardized technical elements preset in the technical element decomposition model include: Technology Field Tiered Labels: A three-level classification system is adopted. The first-level labels include technology-intensive industries such as intelligent manufacturing, biomedicine, next-generation information technology, new materials, and new energy. The second-level labels correspond to the technology branches within the industry, such as the second-level label "Industrial Software" under the first-level label "Next-generation Information Technology". The third-level labels correspond to specific technology points, such as the third-level label "Machine Vision Inspection Algorithm Development" under the second-level label "Industrial Software". Technology Maturity Level (TRL) Requirements: Adopting the ISO international standard's 9-level technology maturity system, clearly defining the corresponding technology maturity requirements for each requirement; Technical service types: These include technical services categorized according to national standards, such as technology development, technical consulting, technology transfer, technical services, technical testing, and technical evaluation. Deliverable Standard System: A standardized deliverable list is pre-defined for each service type. For example, deliverables for technical development services include requirements specifications, technical solution documents, source code, executable programs, test reports, and operation manuals. The format requirements and acceptance criteria for each deliverable are also clearly defined. Intellectual property ownership requirements: Pre-set optional templates for ownership transfer, exclusive license, exclusive license, ordinary license, and joint ownership, clearly defining the client's requirements for intellectual property rights; Confidentiality level constraints: Divided into five levels: public, internal, secret, confidential, and top secret, each corresponding to different confidentiality clauses and supplier qualification requirements; Hard constraints include delivery time, budget range, supplier qualification requirements (such as ISO system certification, confidentiality qualification, industry access qualification), and geographical requirements. During the breakdown process, the platform uses natural language processing technology to extract corresponding elements from the natural language text of the initial requirements. For missing core elements, it prompts the requester to supplement and improve them through interactive guidance. At the same time, the platform calls the preset technical service value assessment model. Based on the decomposed technical elements, combined with the platform's historical transaction data of similar transactions, technical difficulty coefficient, corresponding human cost benchmark, delivery cycle, intellectual property value and other dimensions, it generates a fair pricing reference range for the demand and outputs it to the demand profile to provide a reference for demanders to set budgets and for both supply and demand parties to quote prices. Finally, based on complete standardized technical elements, a requirement profile with constraints is generated, and the requirement profile is simultaneously published to the platform's requirement library. S02: Construction and Dynamic Updating of Supply-Side Capability Profiles After completing entity authentication on the platform, suppliers submit information such as entity qualifications, technical capability resume, intellectual property achievements, compliance qualifications, and project cases. The platform uses a technical element decomposition model to break down the submitted information into technical capability dimensions that correspond one-to-one with the demand profile, generating a supplier capability profile. In this embodiment, the core elements of the supplier capability profile include: the coverage of technical field level labels, technical maturity service capabilities, types of technical services that can be provided, historical deliverables, a list of intellectual property achievements (patents, software copyrights, etc.), compliance qualification level, confidentiality qualification, historical performance evaluation data, platform credit score, service geographical scope, and price range. The platform verifies the authenticity of the qualifications, cases, and intellectual property achievements submitted by suppliers, and incorporates the verified elements into the capability profile. Simultaneously, the platform establishes a dynamic profile update mechanism: newly added qualifications, intellectual property, and project cases by suppliers are updated in real time after verification; for each completed transaction, the platform dynamically updates the supplier's performance evaluation, credit score, and historical case database based on acceptance results, evaluations from both supply and demand parties, and dispute records, achieving continuous iteration of the capability profile. S03: Multi-constraint Intelligent Supply and Demand Matching The platform will match the newly generated demand profile with the supply-side capability profile across the entire platform, specifically including: Initial screening based on hard constraints: First, based on the hard constraints in the demand profile, such as confidentiality level, qualification requirements, geographical restrictions, service type, etc., suppliers that do not meet the hard constraints are eliminated to narrow down the matching range. Multi-dimensional matching degree calculation: For suppliers that pass the initial screening, the matching values ​​for each of the six core dimensions are calculated: Technical field matching degree: calculated based on the overlap of three-level technical tags, with a weighting of 40%; Technical capability matching degree: calculated based on the supplier's historical similar project cases and corresponding technical point intellectual property achievements, with a weighting of 20%; Performance credit matching degree: calculated based on the supplier's historical performance evaluation, credit score, and dispute rate, with a weighting of 15%; Compliance and qualification matching degree: Calculated based on the matching degree between the supplier's qualifications and the demand requirements, with a weighting of 10%; Budget and quotation matching degree: Calculated based on the matching degree between the supplier's historical quotations for similar projects and the demand budget range, with a weighting of 8%; Delivery cycle matching degree: calculated based on the matching degree between the supplier's acceptable delivery cycle and the demand cycle, with a weighting of 7%; Overall matching score ranking: Based on the sub-matching values ​​of each dimension and preset weights, the overall matching score is calculated, and a sorted list is generated from high to low overall matching score; Two-way push: The platform pushes a list of the top 20 suppliers with the highest matching degree to the demand side, allowing the demand side to view supplier details, initiate negotiations and invite bids; at the same time, it pushes the demand information to suppliers with a comprehensive matching degree of ≥80, allowing suppliers to actively register, bid and quote. S04: Milestone-bound smart contract generation and fund custody After the supply and demand parties reach a cooperation intention through the platform's negotiation and bidding process, they proceed to the contract generation and signing stage: Smart contract automatic generation: The platform automatically generates electronic contracts based on standardized technical elements derived from demand breakdown, confirmed quotations from both the supplier and the buyer, delivery cycles, and milestone plans. Core contract content includes: information on both the supplier and the buyer, service content and technical requirements, milestone node settings, deliverable standards for each node, acceptance cycle and rules, fund release ratio for corresponding nodes, intellectual property ownership and usage terms, confidentiality obligations, liability for breach of contract, and dispute resolution methods. In this embodiment, the milestone nodes are automatically adapted according to the type of technical service. For example, for technical development services, the preset milestone nodes include: Requirements confirmation and solution design phase: Deliverables include a requirements specification and detailed technical solutions; acceptance criteria include written confirmation from the requester; and the release of funds is 15% of the total contract amount. Development and Implementation Phase: Deliverables include a runnable program / prototype and interim test reports. Acceptance criteria include core functionality meeting standards. Funds will be released at 35% of the total contract amount. Integration testing and initial acceptance phase: Deliverables include a complete delivery package and a full test report; acceptance criteria include passing the client's initial acceptance; and the release of funds is 30% of the total contract amount. Final inspection and warranty stage: 15% of the total contract amount will be released after the final inspection is passed. After the warranty period (usually 3-12 months) ends without any problems, the remaining 5% of the final payment will be released. Both the supply and demand sides can negotiate and adjust milestones, delivery standards, and fund release ratios online. The adjusted content will be synchronized to the contract text in real time to ensure that the contract terms are completely consistent with the agreement between the two parties. Meanwhile, the intellectual property and confidentiality clauses built into the contract are automatically adapted based on the requirements of the demand profile. For example, if the demand is classified as confidential, the contract will automatically adapt the corresponding scope of confidentiality, confidentiality period, and liability for breach of confidentiality clauses, without requiring both parties to manually draft them, thus reducing the compliance risks of the contract terms. Contract Signing and Fund Custody: The electronic contract becomes effective after both the supply and demand parties sign it online. Upon contract effectiveness, the platform triggers the fund custody process. The demand party must deposit the full transaction amount stipulated in the contract into a fund supervision account jointly managed by the platform and a bank. This fund supervision account is independent of the platform's own fund account and can only release funds according to the milestone acceptance results stipulated in the contract, ensuring fund security. Simultaneously, the platform synchronizes the contract signing information and fund custody information to the consortium blockchain for evidence storage. S05: On-chain performance management and fund disposal throughout the entire process After the contract takes effect, the platform implements full-process performance control based on milestone nodes. The specific steps are as follows: Milestone Delivery and Pre-verification: The supplier submits the corresponding deliverables through the platform according to the milestones agreed in the contract. The platform first performs a pre-verification of the completeness of the deliverables to confirm that the deliverables meet the requirements of the list agreed in the contract. At the same time, the platform's built-in intellectual property compliance verification module performs intellectual property duplication and infringement risk screening on the deliverables. The screening results are pushed to both the supplier and the buyer as a reference for acceptance. Acceptance Process: After the pre-inspection of the delivered goods passes, the platform automatically sends an acceptance notification to the requester, initiating the acceptance process. The requester must complete the acceptance within the acceptance period stipulated in the contract and issue an acceptance report. Once the acceptance is successful, the platform will automatically release the escrow funds corresponding to that node from the regulatory account to the supplier's account, and at the same time synchronize the delivered goods, acceptance results, and fund release records to the consortium blockchain for evidence storage, thus entering the next milestone node; If the acceptance fails, the demander must submit a clear objection and rectification requirements online. The platform will synchronize the objection information to the supplier and initiate the rectification process. After the supplier completes the rectification, it will resubmit the deliverables and enter the acceptance process again. If the two parties have a dispute over the acceptance results, the pre-set dispute resolution process will be initiated. Dispute Resolution Process: The platform has a pre-set tiered dispute resolution mechanism. First, the platform's customer service intervenes to mediate, assisting both parties in resolving the dispute through negotiation based on on-chain evidence such as contracts, deliverables, and communication records. If the negotiation fails, the platform can invite experts in the relevant technical field to conduct online review and issue professional review opinions. If no agreement can still be reached, the platform provides access to notary offices and arbitration institutions to issue legally valid evidence certificates based on on-chain evidence data, supporting both parties to resolve disputes through legal channels and significantly reducing the cost of proof. End-to-end evidence preservation: In this embodiment, the consortium blockchain pre-determines the platform operator, bank, notary office, intellectual property protection center, and third-party arbitration institution as consensus nodes. All transaction process records, including demand release records, negotiation records, tender documents, electronic contracts, hash values ​​of delivered items, acceptance records, fund flows, communication records, and dispute resolution records, are synchronized to the consortium blockchain in real time, generating unique and tamper-proof hash values ​​to ensure the credibility and traceability of data throughout the entire process. S06: Transaction Closed Loop and Long-Term Service File Generation Once all the milestones stipulated in the contract have been accepted and the warranty period has ended, the platform will release the remaining balance, thus completing the closed loop of the technology service transaction. After the transaction is completed, the platform automatically generates a complete technical service transaction file. The file contains core information of the entire transaction process, hash values ​​of the entire process notarization, a list of deliverables, acceptance records, performance evaluations, and other content. The file is stored synchronously on the platform and on the blockchain, and both the supply and demand parties can view and download it at any time. At the same time, based on the performance of this transaction, the platform updates the profile data of both the supply and demand sides: for the supply side, it updates its historical case library, performance evaluation, and credit score; for the demand side, it updates its historical demand and performance records, providing data support for subsequent transaction matching. In addition, the platform has opened a long-term operation and maintenance connection channel for this transaction. The demand side can directly connect with the original supplier through this channel to initiate supplementary requests such as subsequent upgrades, maintenance, and iterations for the technical service. The platform supports both the supply and demand sides to quickly sign supplementary service agreements, reuse the standardized terms and control mechanisms of the original contract, and realize the management of the entire life cycle of the technical service. The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for online transaction for technical service, characterized in that: Includes the following steps: 1) Standardized decomposition and generation of technical service requirements: Receive the initial technical service requirements submitted by the requester, and decompose the non-standardized initial requirements into multi-dimensional quantifiable standardized technical elements through a preset technical element decomposition model. Generate a requirement profile with constraints based on the decomposition results. 2) Construction and dynamic updating of supplier capability profile: Collect supplier's main qualifications, technical capability history, historical performance data, intellectual property achievements, and compliance qualification information. Decompose them into corresponding technical capability dimension elements through a technical element decomposition model to generate supplier capability profile. Update the profile data dynamically based on performance behavior and qualifications. 3) Multi-constraint intelligent supply and demand matching: The demand profile and the supply capability profile are matched in multiple dimensions. The hard constraints in the demand profile are used for screening to generate a matching ranking list. The matching suppliers that meet the conditions are pushed to the demand side, and the demand information is pushed to the matching suppliers that meet the matching degree. 4) Milestone-bound smart contract generation and fund custody: After the supply and demand parties reach a cooperation intention, based on the standardized elements of demand breakdown, an electronic contract is automatically generated with embedded milestone nodes, delivery standards, acceptance rules, fund release ratio, intellectual property clauses, confidentiality obligations and liability for breach of contract; after the contract is signed and becomes effective, the demand party will escrow the full amount of transaction funds to the platform's supervision account, and the corresponding fund release amount will be split according to the milestone nodes agreed in the contract. 5) On-chain performance management and fund disposal throughout the entire process: Based on the milestone nodes of the effective contract, the entire closed-loop operation of the supplier's delivery, platform pre-verification, and demand party acceptance is completed. The operation records, delivery documents, and acceptance results of the entire process are synchronized to the consortium blockchain in real time for storage and solidification. If the acceptance is successful, the escrow funds at the corresponding node will be released automatically; if there are objections to the acceptance, the preset dispute resolution process will be initiated. 6) Transaction closed loop and long-term service file generation: After all milestone nodes are accepted, the remaining escrow funds are fully released, a technical service transaction file containing the hash value of the whole process is generated, the profile data and performance credit scores of both supply and demand parties are updated simultaneously, and the long-term operation and maintenance docking channel for the corresponding technical services is opened.

2. The online transaction method for technical service according to claim 1, wherein, The technical element decomposition model in step 1) includes the following pre-defined standardized technical elements: technical field classification labels, technology maturity level (TRL) requirements, technical service types, deliverable standard system, intellectual property ownership requirements, confidentiality level constraints, delivery cycle, budget range, acceptance rule template, and regional and qualification constraints. The technical field classification labels adopt a three-level classification system. The first-level labels correspond to technology-intensive industries in the national economic industry classification, the second-level labels correspond to technical branches within the industry, and the third-level labels correspond to specific technical points. The deliverable standard system pre-sets a standardized deliverable list, delivery format, and acceptance criteria for the corresponding technical service type.

3. The online transaction method for technical service according to claim 1, wherein, Step 1) also includes an intelligent pricing reference step: based on the decomposed demand technical elements, a preset technical service value assessment model is invoked, and combined with historical similar transaction data, technical difficulty coefficient, human resource cost benchmark, delivery cycle, and intellectual property value dimension, a fair pricing reference range for the demand is generated and simultaneously output to the demand profile.

4. The online transaction method for technology services according to claim 1, characterized in that, In step 2), the technical capability dimension elements of the supplier capability profile include the technical field level labels corresponding to the demand profile, the scope of technology maturity coverage, the types of services that can be provided, historical deliverables cases, a list of intellectual property achievements, compliance qualification level, historical performance evaluation, credit score, and confidentiality qualification level.

5. The online transaction method for technology services according to claim 1, characterized in that, The multi-dimensional matching degree calculation in step 3) specifically includes: For the demand profile and the supply capability profile, the matching values ​​of six dimensions are calculated respectively: technology matching degree, technology capability matching degree, performance credit matching degree, compliance qualification matching degree, budget and quotation matching degree, and delivery cycle matching degree. The overall matching degree is calculated based on the preset weight coefficients. The process begins with an initial screening based on strict constraints, eliminating suppliers that do not meet requirements such as confidentiality level, qualification requirements, and geographical restrictions. Then, the suppliers that pass the initial screening are calculated and ranked based on their overall matching degree.

6. The online transaction method for technology services according to claim 1, characterized in that, In step 4), milestone nodes are preset and adapted according to the type of technical service, including but not limited to the requirement confirmation stage, solution design stage, development / implementation stage, testing and acceptance stage, and quality assurance and maintenance stage. Each node is preset with corresponding deliverable standards, acceptance cycle, and fund release ratio, which can be negotiated and adjusted online by both the supply and demand parties. The adjusted content is synchronously updated to the electronic contract and fund escrow rules.

7. The online transaction method for technology services according to claim 1, characterized in that, In step 4), the intellectual property clauses built into the electronic contract pre-set various intellectual property ownership templates, including ownership transfer, exclusive license, sole license, ordinary license, and joint ownership. At the same time, it embeds the term of confidentiality obligations, scope of confidentiality, and liability for breach of contract clauses, and automatically adapts the corresponding clauses based on the confidentiality level of the demand profile.

8. The online transaction method for technology services according to claim 1, characterized in that, In step 5), the platform operator, supply and demand parties, notary office, intellectual property protection center, and third-party arbitration institution are preset as consensus nodes. The evidence storage data throughout the process includes demand release records, bidding / negotiation records, electronic contract signing data, hash values ​​of delivered items, acceptance records, fund flow, and dispute resolution records. The evidence storage data generates a unique and tamper-proof hash value, which supports the online issuance of legally valid evidence storage certificates.

9. The online transaction method for technology services according to claim 1, characterized in that, In step 5), the platform's pre-verification process includes a built-in intellectual property compliance verification module, which checks the intellectual property rights of the deliverables submitted by the supplier for duplicate intellectual property rights and infringement risks. The screening results are simultaneously pushed to both the supplier and the buyer as a reference for acceptance. The dispute resolution process is designed with a tiered mechanism that integrates online evidence submission, expert review, mediation, and arbitration. Evidence is submitted based on on-chain stored data, thus shortening the dispute resolution cycle.

10. The online transaction method for technology services according to claim 1, characterized in that, The long-term operation and maintenance connection channel in step 6) provides a quick access point for the demand side to connect with the subsequent upgrade, maintenance and iteration needs of the corresponding technical services based on the transaction file. It supports both the supply and demand sides to sign supplementary service agreements and reuse the standardized terms and control mechanisms of the original contract. At the same time, the transaction file and performance data are synchronized to the profiles of both the supply and demand sides to provide support for the matching and credit assessment of subsequent transactions.

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