CN213547897U - Intelligent lighting control system based on AI target detection and location - Google Patents
Intelligent lighting control system based on AI target detection and location Download PDFInfo
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- CN213547897U CN213547897U CN202022830793.3U CN202022830793U CN213547897U CN 213547897 U CN213547897 U CN 213547897U CN 202022830793 U CN202022830793 U CN 202022830793U CN 213547897 U CN213547897 U CN 213547897U
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- 238000001514 detection method Methods 0.000 title claims abstract description 16
- 238000012544 monitoring process Methods 0.000 claims description 4
- 238000005286 illumination Methods 0.000 abstract description 12
- 230000000694 effects Effects 0.000 abstract description 2
- 230000007613 environmental effect Effects 0.000 abstract 1
- 238000013527 convolutional neural network Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 238000013486 operation strategy Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000005192 partition Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Abstract
The utility model discloses an intelligent lighting control system based on AI target detection and location, including intelligent control host computer, camera, illuminance sensor, dimming controller and light intensity sensor, the camera adopts TCP IP network protocol, constitutes the special net of control with 5 types of net twines, dimming controller and light intensity sensor adopt two twisted pair shielded cables to constitute the special net of intelligent control, the intelligent control host computer inserts the special net of control and intelligent control respectively. Compared with the prior art, the utility model the advantage lie in: the intelligent lighting equipment can ignore signals and environmental interference, has stable work, high accuracy and high cost performance, realizes the operations of turning on and off the intelligent lighting equipment, reducing illumination and the like by identifying the personnel flow condition of a controlled lighting area and according to a management strategy, and achieves the effects of saving energy and reducing consumption of a using unit.
Description
Technical Field
The utility model relates to an intelligence lighting control technical field specifically indicates an intelligence lighting control system based on AI target detection and location.
Background
Reasonable power utilization, energy conservation and most effective reduction of energy consumption are also important aspects of sustainable development.
Currently, AI technology is rapidly developing and is becoming more widely used. At present, a few products applied to intelligent control in public areas in the market still stay at the stage of timing switch and manual switch, the control mode mostly adopts wireless detection technologies such as infrared, microwave and radar, and the problems of high error rate, poor anti-interference performance and the like exist, so that the intelligent control products cannot be popularized.
SUMMERY OF THE UTILITY MODEL
The to-be-solved technical problem of the utility model is to overcome above technical defect, provide one kind can be applied to public access, wait district, rest area, study room public area based on AI target detection and location's intelligent lighting control system.
In order to solve the technical problem, the utility model provides a technical scheme does: the utility model provides an intelligent lighting control system based on AI target detection and location, includes intelligent control host computer, camera, dimming control ware and illuminance sensor, the camera adopts TCP IP network protocol, constitutes the control private network with 5 types net twine, dimming control ware and illuminance sensor adopt the two twisted pair shielded cables to constitute the intelligent control private network, the intelligent control host computer inserts control private network and intelligent control private network respectively.
Furthermore, the intelligent control host is also connected with a cloud interface and a management computer.
Compared with the prior art, the utility model the advantage lie in:
the intelligent lighting device has the advantages that signal and environment interference can be ignored, working is stable, accuracy and cost performance are high, the problems of interference and misjudgment of wireless detection modes such as infrared, microwave and radar are thoroughly solved, the intelligent control host machine can realize intelligent lighting device opening and closing, illumination reduction and other operations according to management strategies by identifying personnel flowing conditions of a controlled lighting area, and the energy-saving and consumption-reducing effects of a user unit are achieved.
Drawings
Fig. 1 is the utility model relates to an intelligence lighting control system structure schematic diagram based on AI target detection and location.
Fig. 2 is the utility model relates to an intelligence lighting control system functional principle schematic diagram based on AI target detection and location.
As shown in the figure: 1. the intelligent control system comprises an intelligent control host, 2, a camera, 3, a dimming controller, 4, an illumination sensor, 5 and a management computer.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Referring to fig. 1-2, an intelligent lighting control system based on AI target detection and positioning includes an intelligent control host 1, a camera 2, a dimming controller 3 and a illuminance sensor 4, where the camera 2 uses a TCP/IP network protocol, and a monitoring private network is formed by using 5 types of network cables, the dimming controller 3 and the illuminance sensor 4 use twisted-pair shielded cables to form an intelligent control private network, and the intelligent control host 1 is respectively connected to the monitoring private network and the intelligent control private network.
The intelligent control host 1 is also connected with a cloud interface and a management computer 5.
The working principle is as follows: the system is divided into a remote control state or an intelligent control state, the intelligent control host in the remote control state carries out illumination control according to a control command sent by a cloud end or a PC end, when the system works in the intelligent control state, the intelligent control host obtains camera images RSTP/RMTP video streaming installed in a controlled illumination control area, a convolutional neural network structure model is adopted for human body characteristic detection, whether a person exists in the controlled area is identified, the intelligent control host calls states of an illumination controller and an illumination sensor in a corresponding area, the environment brightness and the illumination equipment state are judged, and operations such as starting illumination, closing illumination, adjusting brightness and the like are carried out on the corresponding area according to an operation strategy.
The utility model discloses when concrete implementation, the implementation step is as follows:
1. the controlled lighting areas are partitioned according to live video.
2. And connecting the newly installed camera or the original camera into an intelligent control private network to obtain the video streaming.
3. And installing a dimming lighting controller, controlling the lighting lamp and accessing an intelligent control private network.
4. And installing an illumination sensor and accessing an intelligent control private network.
5. And configuring an intelligent control host, and accessing the intelligent control private network.
6. And starting the system to run.
Firstly, initialization is carried out, an intelligent control host computer reads a field camera RSTP/RMTP video stream of a controlled area and then intercepts a current image, the host computer carries out image partition at first and carries out detection after dividing cells, each cell contains Object detection position information and confidence coefficient information, and the position information of a detected person is determined according to an Object position regression method. The human body feature detection model adopts a convolutional neural network structure, processing is carried out on the basis of a regularization method so as to avoid overfitting, image features are detected by adopting full convolution operation, the output probability is predicted by a full link layer, a system analyzes Person to obtain field data (people, nobody, number of people, position and the like), an intelligent control host computer calls states of a lighting controller and an illumination sensor in a corresponding area, the ambient brightness and the state of lighting equipment are judged, and the operations of starting lighting, closing lighting, adjusting brightness and the like are carried out on the corresponding area according to an operation strategy.
The intelligent control host monitors the working voltage and current of the lighting equipment in real time, learns the lighting state, analyzes the working voltage and current and the normal working mode voltage and current when starting the lighting state, alarms when the conditions of overcurrent, undercurrent, overpressure and undervoltage are found, and sends alarm data to the cloud end and prompts logistics personnel to overhaul.
The present invention and the embodiments thereof have been described above, but the description is not limited thereto, and the embodiment shown in the drawings is only one of the embodiments of the present invention, and the actual structure is not limited thereto. In summary, those skilled in the art should understand that they should not be limited to the embodiments described above, and that they can design the similar structure and embodiments without departing from the spirit of the invention.
Claims (2)
1. The utility model provides an intelligence lighting control system based on AI target detection and location, includes intelligent control host computer (1), camera (2), dimming controller (3) and illuminance sensor (4), its characterized in that: the camera (2) adopts a TCP/IP network protocol, a monitoring private network is formed by 5 types of network cables, the dimming controller (3) and the illuminance sensor (4) adopt a twisted pair shielding cable to form an intelligent control private network, and the intelligent control host (1) is respectively accessed into the monitoring private network and the intelligent control private network.
2. The AI-target-detection-and-positioning-based intelligent lighting control system of claim 1, wherein: the intelligent control host (1) is also connected with a cloud interface and a management computer (5).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022830793.3U CN213547897U (en) | 2020-11-30 | 2020-11-30 | Intelligent lighting control system based on AI target detection and location |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022830793.3U CN213547897U (en) | 2020-11-30 | 2020-11-30 | Intelligent lighting control system based on AI target detection and location |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN213547897U true CN213547897U (en) | 2021-06-25 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202022830793.3U Active CN213547897U (en) | 2020-11-30 | 2020-11-30 | Intelligent lighting control system based on AI target detection and location |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN213547897U (en) |
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2020
- 2020-11-30 CN CN202022830793.3U patent/CN213547897U/en active Active
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| TR01 | Transfer of patent right |
Effective date of registration: 20231115 Address after: Room 2306, Building 8, University Science and Technology Park, No. 5699 North Second Ring Road, Gaokai District, Baoding City, Hebei Province, 071000 Patentee after: Huayi Zhizao (Hebei) Intelligent Technology Co.,Ltd. Address before: 071000 Room 601, unit 3, building 7, block a, dongfangjiayuan, Wusi East Road, Lianchi District, Baoding City, Hebei Province Patentee before: Wang Jialin Patentee before: Cheng Zien |