5 results about "Accelerograph" patented technology

The invention relates to the technical field of research reactor earthquake monitoring, and provides a research reactor earthquake monitoring system and method, and the system comprises a plurality of collection ends, a plurality of digital strong motion instruments, and a terminal cabinet. Each acquisition end acquires an acceleration sensing signal of each monitoring point and transmits the acceleration sensing signal to each corresponding digital strong motion seismograph; each digital strong-motion seismograph converts the acceleration sensing signal into an acceleration digital signal, judges whether to generate single-monitoring-point alarm data according to the acceleration digital signal, and transmits the single-monitoring-point alarm data to the terminal cabinet when the single-monitoring-point alarm data is generated; and the terminal cabinet calculates a response spectrum and / or a cumulative absolute speed according to the alarm data of the single monitoring point, judges whether to generate stack stop alarm data or not according to the response spectrum and / or the cumulative absolute speed, and gives an alarm when the stack stop alarm data is generated. According to the system provided by the invention, the accuracy of earthquake monitoring is improved, and false triggering heap stop is prevented.

The present invention relates to the field of vibration detection technology, specifically a dual-source strong earthquake signal identification method and device for high-rise building monitoring, the method comprising the following steps: S1 preparation and installation of a dual-source strong earthquake instrument: MEMS accelerometer and quartz accelerometer are vertically upward on the Z axis and horizontally distributed on the X and Y axes; S2 real-time synchronous acquisition of vibration signal components of the two accelerometers in three axial directions and consistency judgment; S3 strong earthquake instrument dual-source signal feature extraction: starting from T0, data vectors of a set time length are recorded for the three components of the MEMS accelerometer and the quartz accelerometer to form an input matrix for an identification model; S4 strong earthquake instrument dual-source signal type identification: forming a sample feature data set, optimizing a one-dimensional convolutional neural network, and constructing a dual-source signal identification model. The present invention has the advantages of integrating multiple types of sensors to identify vibration signals, thereby improving identification accuracy, reliability, and anti-interference ability.

The invention relates to a tandem type underground earthquake measuring device which comprises a plurality of earthquake measuring devices which are connected in series. Each seismic measurement device comprises a deep well strong seismograph, a plurality of centralizing supporting pieces and a plurality of stable supporting pieces, the plurality of centralizing supporting pieces at least have an open state and a recovery state, when the centralizing supporting pieces are in the open state, at least part of the centralizing supporting pieces move to abut against the inner wall of a shaft, and when the centralizing supporting pieces are in the recovery state, at least part of the centralizing supporting pieces move to abut against the inner wall of the shaft; the deep well strong motion instrument is supported to be in a preset posture in the shaft; when the centralizing supporting piece is in the recovery state, the centralizing supporting piece moves to be separated from the inner wall of the shaft; the plurality of stable supporting pieces can at least move from a first position to a second position, and when the stable supporting pieces move to the first position, at least partial positions of the stable supporting pieces abut against the inner wall of the shaft; and when the stable supporting piece moves to the second position, the stable supporting piece is separated from the inner wall of the shaft. According to the invention, the technical problem that the underground righting and in-well stability maintaining effects of the tandem deep well strong motion seismograph are poor is solved.

The application discloses a strong earthquake data collection and analysis and seismic response parameter rapid reporting method and system, belongs to the technical field of strong earthquake safety monitoring of hydropower station dams, and comprises three modules of data collection and analysis, seismic response parameter rapid reporting and system operation and maintenance. Acceleration data of each measuring point seismograph is collected in real time through an MQTT protocol, and a seismic event is accurately determined through threshold comparison of multiple main measuring points, so that single-point false triggering is effectively avoided. After the occurrence of the seismic event, the system can generate an analysis report meeting national standards within 3 minutes, and seismic motion parameters and safety evaluation conclusions are pushed through two channels of short message and automatic dialing. The system operation and maintenance module monitors the equipment state in real time, synchronously pushes an abnormal alarm and a timing summary report, and integrates automatic disk management to guarantee data storage safety. The system realizes earthquake monitoring precision, post-earthquake response real-time and operation and maintenance automation, and provides reliable technical support for post-earthquake safety research and judgment of hydraulic structures.

The invention relates to the technical field of vibration detection, in particular to a double-source strong earthquake signal identification method and device for high-rise building monitoring, and the method comprises the following steps: S1, preparing and installing a double-source strong earthquake instrument: enabling an MEMS accelerometer and a quartz accelerometer to be vertically arranged on a Z axis, and horizontally distributed on an X axis and a Y axis; s2, synchronously acquiring vibration signal components of the two accelerometers in three axial directions in real time and performing consistency judgment; s3, strong motion seismograph double-source signal feature extraction: starting from T0, recording data vectors of set time duration for three components of the MEMS accelerometer and the quartz accelerometer, and forming a recognition model input matrix; and S4, strong motion seismograph double-source signal type identification: forming a sample feature data set, optimizing the one-dimensional convolutional neural network, and constructing a double-source signal identification model. The method has the advantages that multiple types of sensors are integrated to recognize vibration signals, and recognition accuracy, reliability and anti-jamming capability are improved.