Evidence map›Paper›PMID 36419455›Full record

ArticlePatterns (New York, N.Y.)2022

Honeycomb: An open-source distributed system for smart buildings.

Tian Xing, Hu Yan, Kailai Sun, Yifan Wang, Xuetao Wang, Qianchuan Zhao

Abstract read
In one paragraph

Article in Patterns (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tian XingDepartment of Automation, BNRist, Center for Intelligent and Networked Systems, Tsinghua University, Beijing 100084, China.
Hu YanDepartment of Automation, BNRist, Center for Intelligent and Networked Systems, Tsinghua University, Beijing 100084, China.
Kailai SunDepartment of Automation, BNRist, Center for Intelligent and Networked Systems, Tsinghua University, Beijing 100084, China.
Yifan WangDepartment of Automation, BNRist, Center for Intelligent and Networked Systems, Tsinghua University, Beijing 100084, China.
Xuetao WangDepartment of Automation, BNRist, Center for Intelligent and Networked Systems, Tsinghua University, Beijing 100084, China.
Qianchuan ZhaoDepartment of Automation, BNRist, Center for Intelligent and Networked Systems, Tsinghua University, Beijing 100084, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Restricted by the hierarchical and centralized system architecture, smart buildings face challenges such as limited adaptability and robustness, single application functionalities, and complex configurations. To address the above shortcomings, we learn from the activity patterns of natural bee swarms and propose Honeycomb, an open-source smart-building solution with fully distributed architecture. Honeycomb is a robust, flexible smart-building solution without any central server or global leader. An asynchronous leaderless spanning tree-based communication pattern is developed to generate and maintain the communication topology of Honeycomb in real time. Benefiting from this communication pattern, Honeycomb has plug-and-play ability. Various distributed applications are designed for building operating tasks and are deployed in a real Honeycomb prototype. The prototype demonstrates significant energy efficiency improvement from the control of the heating, ventilation, and air conditioning (HVAC) system with video-based occupancy information. Feedback on our Honeycomb prototype through questionnaires of users shows high acceptance of the controlled indoor environment.

Indexed as

building automation systemdistributed systemInternet of thingssmart buildingvision-based occupancy measurement

Identifiers

PMID36419455
PMCPMC9676562

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.