System for digital workshop and remote diagnostics integration with blockchain-based documentation

Abstract

System for digital workshop and remote diagnostics integration, characterized by the fact that vehicle data is captured in real time via standardized vehicle interfaces such as OBD2, API-based cloud access or vehicle-internal bus systems (SPI, CAN, Ethernet) and stored with a blockchain-based documentation and verification mechanism.

Description

[0001] The present invention relates to a system for digital workshop and remote diagnostics integration with blockchain-based documentation. The invention addresses the problem that current workshop and diagnostic processes are fragmented, locally limited, and susceptible to manipulation. A standardized, secure, and transparent method for digitally capturing, verifiably documenting, and making accessible to authorized third parties vehicle data, diagnostics, repairs, and service records is lacking. This gap leads to a significant lack of trust, unnecessary delays, increased costs, and legal uncertainty.

[0002] In this description, the term blockchain refers to a cryptographically secured, distributed, and chronologically structured data system that enables immutable and tamper-proof entries. The term blockchain will be used consistently throughout this text.

[0003] According to claim 1, the invention relates to a system for digital workshop and remote diagnostics integration, characterized in that vehicle data is recorded in real time via standardized vehicle interfaces such as OBD2 (On-Board Diagnostics, an internationally standardized vehicle interface protocol), API-based cloud access or vehicle-internal bus systems (SPI, CAN, Ethernet) and stored with a blockchain-based documentation and verification mechanism.

[0004] According to claim 2, a token-based access control system with time-limited authorization for workshops is implemented, ensuring that only authorized parties have access to the relevant vehicle information. This guarantees compliance with GDPR data protection requirements and the controlled documentation of access.

[0005] According to claim 3, the performed diagnosis is stored as a non-interchangeable digital entry, a so-called non-fungible token (NFT), in a digital vehicle record. This entry contains information about the fault code, the time of the diagnosis, the workshop performing the diagnosis, and the affected vehicle components, and is tamper-proof due to the blockchain. According to claim 4, the diagnostic data is additionally visualized in a three-dimensional display module, with affected vehicle parts highlighted in color, for example, red for critical, yellow for recommended, and green for monitored components.

[0006] Claim 5 describes how repair instructions are linked to diagnoses and can be expanded via a shared database structure, also known as a decentralized autonomous organization (DAO). Workshops can add their own repair steps as text, image, or video instructions, thus creating a collaborative knowledge network. According to claim 6, service records are integrated into the vehicle history as tamper-proof digital entries, creating a verifiable service log that is also relevant when reselling or inspecting the vehicle.

[0007] Claim 7 stipulates that invoices and repair cost receipts are stored as digital evidence in the form of tamper-proof entries, while Claim 8 adds that recall campaigns can be automatically checked, documented, and added to the vehicle file. Claim 9 provides that workshops gain access to the system via a licensing model and can bill for diagnoses or services using tokens or conventional currencies. Claim 10 specifies that the entries simultaneously enhance a digital trust score relevant for insurance companies, authorities, and other third parties.

[0008] According to claim 11, the system includes the possibility of remote diagnostics via mobile or web applications, where the vehicle owner can grant real-time access to workshops. Claim 12 provides that the diagnostics are linked to a dynamic repair guide that provides step-by-step instructions. Claim 13 specifies the three-dimensional visualization by highlighting vehicle parts in color, while claim 14 adds that workshops can document and store their own repair steps. Claim 15 stipulates that a decentralized operating system (DAO) enables the exchange and validation of these instructions.

[0009] Claim 16 describes the integration of additional vehicle sensors that record data such as tire pressure, temperature, or wear and make it available in real time for remote diagnostics. Claim 17 describes how the diagnostic results are automatically stored as certified service entries in an immutable register. Claim 18 stipulates that the system architecture includes direct interfaces to insurance companies and testing organizations to enable access to verified data. Claim 19 describes automated billing per diagnostic procedure via digital tokens or conventional payment methods. Finally, claim 20 specifies that a remote diagnostics certificate is introduced as a new standard, combining diagnostics, repair instructions, and blockchain-based documentation.

[0010] The invention functions in such a way that vehicle data is captured in a standardized manner, transmitted in encrypted form, visually processed, and supplemented with instructions, while all processes are stored securely on the blockchain. Users can release diagnoses as needed, workshops receive authorized access, perform the analysis, and document the results, while additional evidence such as invoices or recall information is automatically added. In summary, the invention creates a seamless diagnostic ecosystem that digitizes, standardizes, and secures the workshop and service process, opens up new business models for workshops, offers vehicle owners transparency and convenience, provides insurance companies and authorities with reliable documentation, and ultimately strengthens trust in the automotive market in a sustainable way.

Claims

[1] System for digital workshop and remote diagnostics integration, characterized by , that vehicle data is captured in real time via standardized vehicle interfaces such as OBD2, API-based cloud access or vehicle-internal bus systems (SPI, CAN, Ethernet) and stored with a blockchain-based documentation and verification mechanism. [2] System according to claim 1, characterized by that a token-based access control with time-limited release (opt-in) is planned for workshops. [3] System according to any one of the preceding claims, characterized by , that the diagnosis performed is stored as a non-interchangeable digital entry (Non-Fungible Token, NFT) in a digital vehicle file. [4] System according to any one of the preceding claims, characterized by , that error codes and diagnoses are visually processed in a three-dimensional display module. [5] System according to any one of the preceding claims, characterized by , that repair instructions are linked to the diagnoses and can be extended via a shared database structure (DAO). [6] System according to any one of the preceding claims, characterized by , that service records are recorded as tamper-proof digital entries in the vehicle history. [7] System according to any one of the preceding claims, characterized by that invoices and repair cost receipts are stored as tamper-proof digital evidence. [8] System according to any one of the preceding claims, characterized by that recall actions are automatically checked, documented and added to the vehicle file. [9] System according to any one of the preceding claims, characterized by that workshops gain access via a licensing model and can bill for diagnoses or services using tokens or in conventional currencies. [10] System according to any one of the preceding claims, characterized by that the entries enhance the vehicle's digital trust score and are accessible to insurance companies and authorities. [11] System according to any one of the preceding claims, characterized by that a remote diagnostics function via mobile applications or web applications enables real-time release for workshops. [12] System according to any one of the preceding claims, characterized by that the diagnoses are linked to a dynamic repair guide that provides step-by-step processes. [13] System according to any one of the preceding claims, characterized by , that a three-dimensional visualization module highlights the affected vehicle parts in color. [14] System according to any one of the preceding claims, characterized by that workshops can store their repair steps as image, video or text instructions. [15] System according to any one of the preceding claims, characterized by , that a decentralized organizational unit (DAO) enables the exchange of knowledge and the validation of repair instructions. [16] System according to any one of the preceding claims, characterized by that additional vehicle sensors are integrated to evaluate data such as tire pressure, temperature or wear in real time and to incorporate it into remote diagnostics. [17] System according to any one of the preceding claims, characterized by that the diagnostic results are automatically saved as certified service entries in an unalterable register. [18] System according to any one of the preceding claims, characterized by that the system architecture provides a direct interface to insurance companies and testing organizations. [19] System according to any one of the preceding claims, characterized bythat automated billing per diagnostic procedure is carried out via digital tokens or conventional payment methods. [20] System according to any one of the preceding claims, characterized by that a remote diagnostics certificate will be introduced as a new standard, combining diagnostics, repair instructions and blockchain-based documentation.