Intelligent detection system and method for abnormity of automatic sensor

• Main Authors: LI XINZE, LIU SHI, DAI FU, ZHAO JIE, LI JUN, HE PINGKAI, ZHOU BINGLAN, PU SHIXIAN, CHEN QIAO, DUAN QIANJUN, SHI LIAO, SU ZONGKUN
• Format: Patent
• Language: Chinese; English
• Published: 18.05.2021
• Subjects: ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVEREDIN A SINGLE OTHER SUBCLASS; CONTROL OR REGULATING SYSTEMS IN GENERAL; CONTROLLING; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MEASURING; MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS; PHYSICS; REGULATING; TARIFF METERING APPARATUS; TESTING

The invention discloses an intelligent detection system and method for abnormity of an automatic sensor, in an automatic logistics control process, for an application scene of control process information tracking, a sensor detection signal is combined with controller program logic by utilizing a controller program scanning characteristic, a special program module algorithm is compiled in a controller, according to dynamic characteristics such as conveying equipment with different lengths and accelerations, through dynamic counting, self-learning detection control and self-adaptive dynamic fault triggering, tracking errors are prevented, alarm diagnosis is accurately completed, and fault types are accurately identified, so that the fault processing time is saved, and the response speed of fault processing is improved. 本发明公开了一种自动化传感器异常的智能检测系统和方法，在自动化物流控制流程中，对控制流程信息跟踪的应用场景，利用控制器程序扫描特性，将传感器检测信号与控制器程序逻辑相结合，在控制器内编写专用程序模块算法，根据不同长度，不同加速度的输送设备等动态特性，动态计数，自学习检测控制，自适应动态故障触发，以达到预防跟踪出错，精准完成报警诊断、准确地识别故障类型，从而节省故障处理时间，提高故障处理的