Individual behavior data identification method based on wireless sensor network
A wireless sensor and data recognition technology, applied in the field of information modeling, can solve problems such as high risk factor and difficult behavior monitoring
Active Publication Date: 2021-02-09
AEROSPACE INFORMATION RES INST CAS +1
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Problems solved by technology
[0004] Therefore, the technical problem to be solved by the present invention is to overcome the defects of high potential risk factor and difficult behavior monitoring in the port dangerous goods loading and unloading operation process in the prior art, thereby providing a method for identifying individual behavior data based on wireless sensor networks
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[0022] Such as Figure 1-2 As shown, the present invention provides a method for identifying individual behavior data based on wireless sensor networks, which includes:
[0023] The detection step is to locate the position of the target through RFID technology (radio frequency identification technology); and to detect the state change perception data of the target through various sensors;
[0024] The recognition step is to combine the positioning data of the position of the target with the result of the state change perception data detected by the sensor, calculate the state change and the mapped action, and compare the action and sequence with the preset behavior model to obtain Calculate the behavior that the individual is performing;
[0025] The adjustment step is to divide the calculated behaviors into normal behaviors and abnormal behaviors, store and memorize the recognized normal behaviors, and send out and remind the recognized abnormal behaviors in the form of sign...
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The invention provides an individual behavior data identification method based on a wireless sensor network, and the method comprises a detection step of positioning the position of a target object through an RFID technology and detecting state change sensing data of the target object through multiple sensors; an identification step of combining the positioning data of the position of the target object with the state change sensing data result detected by the sensors, calculating the state change and the mapping action, comparing the action and the sequence with a preset behavior model, and calculating the behavior which is being implemented by the individual; and an adjustment step of dividing the calculated behaviors into normal behaviors and abnormal behaviors, storing and memorizing the identified normal behaviors, and sending and reminding the identified abnormal behaviors in a signal form. Behavior data is obtained in combination with RFID and sensor technologies, signals are stable, the automatic behavior recognition capacity is improved, an alarm can be given in time when unsafe operation behaviors happen, and accidents are reduced.
Description
technical field [0001] The invention belongs to the technical field of information models, and in particular relates to a method for identifying individual behavior data based on a wireless sensor network. Background technique [0002] Due to the difficulty in obtaining individual behavior data and other reasons, traditional GIS lacks the modeling and expression of individual micro-behavior, and the development of the Internet of Things provides a higher spatio-temporal resolution data source for the study of individual behavior, providing GIS with the ability to target individual micro-behavior. The study of behavior brings opportunities. At present, the potential risk factor is high in the process of loading and unloading dangerous goods in ports, and behavior monitoring is difficult. The single RFID technology has the disadvantage of signal instability, and the shortcomings of traditional video monitoring methods such as serious privacy exposure and difficulty in automati...
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Login to View More IPC IPC(8): G06K17/00G01D21/02
CPCG06K17/0029G01D21/02
Inventor 孙麇李毅龚建华张国永李文宁武栋
Owner AEROSPACE INFORMATION RES INST CAS