IBeacon technology was released by Apple on WWC in 2013 and designated as one of the technologies that will change the world in the next decade. IBeacon is based on the latest Bluetooth low-power 4.0 technology and can be used to create a signal base station. When a user enters the area with a mobile device, they will receive push information from the base station. At present, with the large-scale production of IBEACON hardware equipment in China, the price is relatively cheap, which also provides a foundation for the large-scale application of IBEACON.
Accurate indoor positioning and navigation require the use of iBeacon technology, which means that by using low-power Bluetooth technology, the iBeacon base station can automatically create a signal area. When the device enters this area, the smartphone will receive the ID number and signal strength of the iBeacon base station, and locate based on the coordinate information of the pre deployed iBeacon nodes. IBeacon, as a near-field (near-field: short distance wireless transmission) sensor that connects offline scenes, allows everything to have its own position coordinates and can be compatible with Android and iOS mobile phones and terminals. Therefore, iBeacon technology has become the most important means of commercial indoor positioning.
In response to the need for high-precision positioning in positioning scenarios, and to overcome the adverse effects of indoor environment on positioning accuracy, this project proposes a weighted correction positioning algorithm combining trilateral measurement positioning. The positioning system first uses the trilateral measurement positioning algorithm to estimate the initial position of the user, and then combines the position estimation obtained from the initial positioning with the user's position information for filtering processing. By filtering, it avoids the problem of position jitter caused by measurement errors, thereby improving positioning accuracy.
Based on the existing hardware equipment and the proposed weighted correction positioning algorithm, a prototype of a positioning system has been designed and developed. A high-precision indoor positioning method based on signal strength has been implemented, with an average positioning accuracy of 1-3 meters, meeting the requirements of universal computing accuracy for indoor positioning solutions.
After inserting/attaching Bluetooth beacons to the target materials, register the material information in the system backend, such as the minor value of the beacons and the name of the material equipment.
Support operations such as disabling/enabling positioning functions and configuring electronic fence rules in the list.
Support customizing the range and boundaries of electronic fences on the map, and support configuring rules to trigger electronic fence alarms, such as entry and exit alarms.
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