To address the issue of network active attacks such as tampering for industrial cloud storage system data， to achieve the goal of secure sharing of industrial data in cloud storage， and to ensure the confidentiality， integrity， and availability of industrial data transmission and storage processes， a data tamper-proof batch auditing scheme based on industrial cloud storage systems was proposed. In this scheme， a homomorphic digital signature algorithm based on bilinear pairing mapping was proposed， enabling a third-party auditor to achieve batch tamper-proof integrity detection of industrial cloud storage system data， and feedback the tamper-proof integrity auditing results to engineering service end users timely. Besides， the computational burden on engineering service end users was reduced by adding auditors， while ensuring the integrity of industrial encrypted data during transmission and storage processes. Security analysis and performance comparison results demonstrate that the proposed scheme reduces the third-party auditing computational cost significantly by reducing the third-party auditor’s computational cost from O（n） bilinear pairing operations to O（1） constant-level bilinear pairing operations through the design of tamper-proof detection vectors. It can be seen that the proposed scheme is suitable for lightweight batch auditing scenarios that require tamper-proof detection of a large number of core data files of industrial cloud storage systems.