A detection system for preparing artificial stone

Abstract

The invention discloses a detection system for preparing an artificial stone. The detection system comprises a client, a raw material detection module, an environment detection module and a stone detection module, wherein the client is used for obtaining a detection signal, displaying and storing detection information and judging whether detection information is qualified or not, the detection signal comprises a raw material detection signal, an external environment detection signal and a stone detection signal, and the detection information comprises raw material information for artificial stone preparation, external environment information and various stone performance indicators; the raw material detection module is connected with the client and is used for measuring the raw material information for artificial stone preparation according to the raw material detection signal; the environment detection module is connected with the client and is used for measuring the external environment information for artificial stone preparation according to the external environment detection signal; the stone detection module is connected with the client and is used for measuring the various stone performance indicators according to the stone detection signal. With the adoption of the detection system, the performance of the artificial stone in the preparation process can be effectively detected.

Description

technical field [0001] The invention relates to the field of inorganic building materials, in particular to a detection system for preparing artificial stone. Background technique [0002] In the existing production process of preparing artificial stone, the qualified rate of high-quality artificial stone is relatively low. The existing detection of artificial stone generally adopts the sampling method, and a batch of finished artificial stone is sampled to detect the finished product. The pass rate of artificial stone, and the detection performance indicators of artificial stone generally include hardness and damage, but it cannot fundamentally solve the problem of low pass rate of artificial stone, and cannot detect the process of preparing artificial stone in real time. [0003] In addition, the traditional detection method can only detect the artificial stone that has been produced, but cannot detect the raw materials and the environment in production in real time, and c...

AI Technical Summary

Problems solved by technology

[0002] In the existing production process of preparing artificial stone, the qualified rate of high-quality artificial stone is relatively low. The existing detection of artificial stone generally adopts the sampling method, and a batch of finished artificial stone is sampled to detect the finished product. The pass rate of artificial stone, and the detection performance indicators of artificial stone generally include hardness and damage, but it cannot fundamentally solve the problem of low pass rate of artificial stone, and cannot detect the process of preparing artificial stone in real time

[0003] In addition, the traditional detection method can only detect the artificial stone that has been produced, but cannot detect the raw materials and the environment in production in real time, and cannot effectively improve the pass rate of artificial stone.

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