Controlling Device Participation in Wireless Sensing Systems
US-2022068099-A1 · Mar 3, 2022 · US
US11617060B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11617060-B2 |
| Application number | US-202117377226-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 15, 2021 |
| Priority date | Jul 17, 2020 |
| Publication date | Mar 28, 2023 |
| Grant date | Mar 28, 2023 |
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An integrated intelligent building management system includes: a positioning device, recording and uploading a movement information and a device-assigned ID of a target person; an intelligent building kit, computing a tracking information of the target person in a monitoring range based on multiple location coordinates in multiple time periods, and transforming multiple device-assigned IDs to the same kit-assigned ID when multiple device-assigned IDs are determined to be corresponding to the same target person based on the tracking information, and uploading the kit-assigned ID and the movement information; and an intelligent building system, computing the tracking information of the target person in a monitoring range based on the location coordinates in multiple time periods, and establishing an information connection of multiple kit-assigned IDs when the multiple kit-assigned IDs are determined to be corresponding to the same target person based on the tracking information.
Opening claim text (preview).
What is claimed is: 1. An integrated intelligent building management system, comprising: at least one positioning device, disposed in an area inside a building, when at least one target person is detected in the area, and configured to set a device-assigned ID to the target person, to record a movement information of the target person according to a sampling rate, and to upload the device-assigned ID and the movement information according to a first uploading frequency, wherein the movement information comprises a location coordinate and a coordinate of leaving a positioning range of the target person; at least one intelligent building kit, connected with the at least one positioning device, continuously receiving the device-assigned ID and the movement information of the target person from the positioning device, and configured to compute a moving track and an average moving speed of the target person in the positioning range of the positioning device according to the location coordinates of the target person in multiple past time periods, when a plurality of the device-assigned IDs uploaded by a plurality of the positioning devices adjacent to each other are determined to be corresponding to a same target person according to the coordinate of leaving the positioning range, the moving track, and the average moving speed, transforming the multiple device-assigned IDs to a kit-assigned ID, and to upload the kit-assigned ID and the movement information of the target person according to a second uploading frequency; and an intelligent building system, comprising a data manager and connected with the at least one intelligent building kit, and configured to continuously receive the kit-assigned ID and the movement information of the target person from the intelligent building kit, to compute the moving track and the average moving speed of the target person in a responsible area of the intelligent building kit according to the location coordinate of the target person in the multiple past time periods, and when a plurality of the kit-assigned IDs uploaded by a plurality of the intelligent building kits adjacent to each other are determined to be corresponding to the same target person according to the coordinate of leaving the positioning range, the moving track, and the average moving speed, to establish an information connection for the multiple kit-assigned IDs, wherein the intelligent building kit comprises an edge computation module, configured to select an environment optimization parameter correspondingly in real-time to execute an intelligent control procedure to the area according to a population density and a person activity level in the area; wherein the intelligent building kit is configured to record an area size of the area relative to the building, the edge computation module is configured to compute the population density according to the area size and a total number of the target persons in the area, and to determine an activity category of each target person according to the movement information of one or a plurality of the target persons, and to compute the person activity level of the area according to the activity category of each target person. 2. The integrated intelligent building management system of claim 1 , wherein the environment optimization parameter is corresponding to an air-conditioning temperature and a fan speed of the area. 3. The integrated intelligent building management system of claim 1 , wherein the building comprises a virtual 3D coordinate system, configured to relate one corner on a first floor of the building to an origin, to relate a direction toward east to an X-axis, to relate a direction toward north to a Y-axis, and to relate a floor direction to a Z-axis, and the intelligent building kit is configured to determine the area range according to multiple vertex coordinates of a preset area frame of the area on the virtual 3D coordinate system, and to compute an area size. 4. The integrated intelligent building management system of claim 3 , wherein the intelligent building kit is configured to compute a moving speed standard deviation of the target person according to the location coordinate of the target person in the multiple past time periods, the edge computation module is configured to execute a deep learning algorithm to determine the activity category of the target person according to the moving track, the average moving speed, and the moving speed standard deviation, wherein the activity category is related to an activity grade, the edge computation module is configured to add up the activity grade of all the target persons in the area and divide that by the total number of the target persons to calculate the person activity level of the area. 5. The integrated intelligent building management system of claim 3 , wherein the positioning device comprises an image-type positioning device, a tag-type positioning device, or a non-tag-type positioning device, the device-assigned ID is composed by at least one of a category code, a device number, a timestamp and a serial number of the positioning device, wherein the category code indicates a current positioning manner of the target person. 6. The integrated intelligent building management system of claim 5 , wherein a plurality of the positioning devices are located in the area, and the multiple positioning devices are configured to execute an angle of arrival (AOA) algorithm or a time of arrival (TOA) algorithm to calculate the location coordinate of the target person. 7. The integrated intelligent building management system of claim 5 , wherein the image-type positioning device is configured to identify the target person through an image identification procedure and track the target person through an object tracking algorithm; the tag-type positioning device is configured to read a tag worn by the target person to identify and track the target person; the non-tag-type positioning device is configured to sense and compute a first movement vector of an object in the area, and to compute an angle between the first movement vector and a second movement vector of the object provided by another non-tag-type positioning device in the area to identify the object as the target person and track the target person. 8. The integrated intelligent building management system of claim 5 , wherein the edge computation module is configured to select the environment optimization parameter according to the population density, the person activity level, and a persons-occupied area percentage in the area. 9. The integrated intelligent building management system of claim 8 , wherein the edge computation module is configured to determine a person-presence range based on the location coordinate of all the target persons in the area and calculate a person-presence area size, and to calculate the persons-occupied area percentage of the area according to the person-presence area size and the area size. 10. The integrated intelligent building management system of claim 6 , wherein the edge computation module is configured to select the environment optimization parameter according to the population density, the person activity level, and an area reference confidence index, wherein the edge computation module is configured to calculate the area reference confidence index according to a personal reference confidence index of all the target persons in the area. 11. The integrated intelligent building management system of claim 10 , wherein area reference confidence index comprises an area index base value, an area index upper limit, and an area index lower limit, the personal reference confidence index comprises a personal index base value, a personal
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