Gas meter safety certification system based on national cryptographic algorithm

Abstract

The invention discloses a gas meter safety certification system based on a national cryptographic algorithm. The gas meter safety certification system negotiates data of a secret key according to a unique identifier ID of an ESAM module by means of the ESAM module and a certification server, so as to realize one meter with one secret key and one service process with one secret key at one time; thegas meter safety certification system adopts server-gas meter two-way authentication, and constructs a secure channel for data transmission of the ''server-gas meter'', so as to improve the security;based on historical operation state information and the like of various gas meter groups stored in an existing database, the gas meter safety certification system compares the gas meter operation state information with normal operation state information in the database, gives an early warning on potential faults of a gas meter in advance according to the actual environment where the gas meter islocated, is conductive to improving the fault early warning accuracy, and facilitates the operation and maintenance personnel to make maintenance plans in advance; and meanwhile, by judging the integral operation parameters of the gas meters, the influence of sudden events on the fault early warning of the gas meter group is greatly reduced, and the effectiveness of the fault early warning is provided.

Description

technical field [0001] The invention relates to the technical field of gas energy safety, in particular to a gas meter safety authentication system based on a national secret algorithm. Background technique [0002] In the traditional gas meter industry, the prepayment method is the main method. Users need to purchase gas at the gas business hall or gas charging representative point with a gas IC card, and then insert the gas card with the gas purchase record into the gas meter IC card socket. To complete the recharge process of purchasing gas, the whole process needs to go back and forth between the gas business hall and the home, which brings inconvenience to the daily life of the user. [0003] With the gradual maturity of wireless technology, the penetrating power of wireless signals is getting stronger and wider, and the coverage area is getting wider and wider. Wireless remote meter reading has begun its performance, which breaks away from the shackles of wired remote ...

AI Technical Summary

Problems solved by technology

[0007] However, both of the above two schemes have some shortcomings: the main disadvantage of the authentication scheme without a special password algorithm is that there is basically no security at all, the data of the gas meter and the background server are transmitted in plain text, and some sensitive information is exposed on the public network, which has many problems. Big potential safety hazard; the disadvantage of the software cryptographic algorithm authentication scheme is mainly low security. The highest security level of software cryptographic algorithm authentication is EAL2+, and its core authentication algorithm is implemented by software, and key data and key information are only stored in software storage. In the region, the existing operating system and software have certain security vulnerabilities, which means that the key information is in an unknowable exposed state

[0008] On the other hand, the existing gas meter can only give an early warning to the data service center when a failure occurs, which is not targeted; and there is no reasonable classification of the failure information. When a failure occurs, no matter what the failure is, it will be directly sent to the The data service center, the data service center did not analyze and utilize the fault

Moreover, when a fault occurs, there is no timely early warning, and there is no good prevention and detection for situations other than gas meter faults.

[0009] In addition, there is no multi-parameter, long-term, continuous, real-time collection and accumulation of comprehensive operation big data for gas meter groups, and accurate identification, judgment and early warning of gas meter working conditions cannot be performed based on multi-parameter fusion; Table group for overall operation balance detection and early warning

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