Indoor personnel positioning system and method based on path rule and prediction

Abstract

The invention discloses an indoor personnel positioning system and an indoor personnel positioning method based on path rule and prediction, and in particular relates to a wireless sensor network indoor people and object positioning system and a wireless sensor network indoor people and object positioning method. The system comprises a positioning control center, positioning information integration equipment, reference node equipment and unknown node equipment. According to the method, a PC (Personal Computer) and the positioning system are adopted to perform indoor people and object positioning through a program and based on a wireless network after a system preparatory stage and a system operating stage. The system and the method have the characteristics of high positioning accuracy, high positioning precision, wide applicable scope, high applicability, simpleness in operation, convenience for promotion and application and the like. The system and the method can be widely applied to indoor personnel static and dynamic positioning, and is also applicable to indoor object static and dynamic positioning.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor network positioning, in particular to a system and method for positioning people and objects in a wireless sensor network indoor environment. Background technique [0002] With the development of sensor technology, computer network technology and wireless communication technology, the application of wireless sensor network is more and more extensive. Positioning is an important supporting technology of wireless sensor networks. The introduction of location information makes the monitoring data of wireless sensor networks more meaningful. Existing location service systems are mostly used outdoors, such as GPS systems. However, in the actual application process, it is often necessary to locate people and objects in indoor situations, such as mine disaster relief, medical care (elderly / child care), indoor tour guides, prison management, personnel and object tracking, robot positioning, wareh...

AI Technical Summary

Problems solved by technology

The main disadvantages of this patent: 1) The positioning method is single and the applicability is poor

However, the partition wall factor is uncertain, and it is difficult to apply it in multiple occasions, and because the attenuation effect of each building wall on the wireless signal is different, it is difficult to describe it with a unified model.

Even in a certain building interior, there are many types of walls, and in addition to walls, other objects in the room will cause great interference to RSSI

2) The positioning accuracy is not high, and the positioning consistency is not good

The positioning system of this patent may have better positioning accuracy in a certain room or hall in practical applications, but the positioning accuracy is not high in a complex indoor environment composed of multiple rooms

Moreover, due to the strong interference of the indoor environment on the RSSI, the positioning consistency is extremely poor, and sometimes the positioning is good, and sometimes the deviation is large.

3) The positioning performance of dynamic objects is poor, and the trajectory of the target cannot be reflected

Due to the low positioning accuracy and consistency of this patent, in indoor conditions, due to the movement characteristics of indoor personnel, the positioning results cannot well display the position changes of personnel, and often the movement trajectory does not conform to the actual pattern. For example, the positioning result shows that the position of the person is in the aisle at one moment, but at the next moment it directly passes through the wall and is displayed in the room, which is inconsistent with the actual application and the positioning accuracy is poor.

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