The application discloses a kind of high-temperature equipment remote monitoring method and platform based on
Internet of Things, it is related to
industrial Internet of Things and fault diagnosis technical field.The method is triggered by non-destructive micro-excitation when identifying that measuring point is in steady-state
thermodynamics window through
edge computing gateway, fitting
thermal response time constant;The gradual drift bias of measuring point is extracted based on
state space model;Then the above-mentioned extraction features, multi-source heterogeneous high-frequency acquisition data and three time stamp sequences are assembled into multidimensional evidence
package, and are reported after being stored by hash
encryption signature;After evidence
package is signed by cloud platform, the integrated reliability
score of measuring point is calculated, and strict according to hard safety threshold Uncontrollable strategy is executed Intelligent alarm grading disposal and maintenance work
order scheduling.The application realizes the high-confidence online non-destructive diagnosis of sensor physical degradation without interfering with the underlying main control loop, effectively eliminates
false alarm, optimizes the
operation scheduling based on financial cost, and provides a completely tamper-proof digital audit chain for
industrial monitoring, greatly improving the overall safety and economy of high-temperature equipment operation.