Light control system and method based on AI

Abstract

The invention discloses a light control system and method based on AI. The system comprises a sensor device, an AI processing algorithm module, an automatic strategy module and lighting equipment connected in a matched mode. The invention discloses a method. The sensor device performs personnel access detection, the data acquisition module detects personnel access, the state detection module detects personnel access states, the AI processing algorithm module receives and analyzes real-time data, the AI processing algorithm module issues corresponding instructions according to analysis results, and the automatic strategy module triggers corresponding actions of the lighting equipment according to the received instructions. The lighting equipment executes a switching action; according to the invention, intelligent light control is realized with low cost, and the advantages of energy saving, low fault rate and relatively long service life are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of building control, and particularly to an AI-based lighting control system and method. Background Art

[0002] Currently, traditional lighting control systems usually adopt fixed modes or experience-based program control. For example, in an office environment, lights are turned on or off at a predetermined time and cannot optimize energy usage according to the flow of people. In addition, traditional systems often have problems of high energy consumption and low efficiency during operation, especially in areas with few people.

[0003] Therefore, it is of great significance to develop a technology that can dynamically adjust lighting control strategies according to the flow law of people.

[0004] The existing patent CN214960234U discloses an AI-based intelligent lighting detection system, which includes a plurality of lighting fixtures distributed in the monitored area. The plurality of lighting fixtures are divided into multiple groups, and each group of lighting fixtures is located in a different area unit; an AI image acquisition and processing device capable of simultaneously collecting and processing images of all area units is provided in the monitored area. The signal output part of the AI image acquisition and processing device is communicatively connected to the control parts of each lighting fixture and independently controls the on or off of each group of lighting fixtures. The utility model can be used for the lighting control system in public places, and can simultaneously perform target recognition, positioning and video monitoring, with high monitoring accuracy, simple system composition and easy implementation.

[0005] The existing patent CN109982490A discloses an intelligent lighting control system, which includes a main control end and a positioning terminal. The main control end is set at home and includes a control module, a state judgment module, a data transmission module, a human body sensing module, a distance self-limiting module, a distance judgment module, a voice module and a voice control module; the positioning terminal includes a positioning module, a data transmission module II, a state display module and a manual switch module; when the user is within a certain range of home, the system can automatically analyze whether the user is in a state of leaving home or returning home. When it is judged that the user is in a state of returning home, the voice module and the voice control module are started; when the user forgets to turn off the lights after leaving home, the system automatically feeds back the information of the lamps in the home to the user, and the user can remotely control the lamps to turn off according to the mobile phone.

[0006] However, the above patents still have the following problems in practical applications: 1. Disadvantages of the AI-based intelligent lighting detection system This technology can accurately capture targets and locate them through AI image recognition technology to control lighting equipment in different areas. The system structure has relatively high supervision and monitoring accuracy. However, on the premise of high precision, it relies on high-performance AI chips, advanced cameras and other hardware devices, which increases the initial investment. And equipment failures or upgrades require specialized technical support and resources, increasing the maintenance cost. Secondly, high-precision image acquisition and processing require a large amount of computing resources, which may lead to high data transmission pressure, affecting system stability. In addition, AI image recognition is sensitive to light and imaging conditions and performs poorly in complex environments; 2. Disadvantages of an intelligent lighting control system This technology combines a positioning module and a control module to control lighting equipment to achieve energy-saving effects. However, in indoor or complex environments, the positioning module may not be able to accurately identify the user's location, resulting in misjudgment. Moreover, when the user forgets to turn off the lights, the lamp information sent by the system may contain user privacy, and attention needs to be paid to protecting user data security. Secondly, the system completely relies on the user to use a smartphone for remote control, which may cause the device to malfunction without a mobile phone connection. And the system lacks redundancy in key components. Once the main control end or the positioning terminal fails, it may cause the interruption of the overall system. Summary of the Invention

[0007] The purpose of the present invention is to provide an AI-based lighting control system and method. The present invention has the advantages of realizing intelligent lighting control at a relatively low cost, achieving energy saving, low failure rate and relatively longer service life.

[0008] The technical solution of the present invention: An AI-based lighting control system includes a sensor device, an AI processing algorithm module, an automation strategy module and supporting lighting equipment; The sensor device is used to monitor the entry and exit status of indoor personnel in real time and upload the sampled values to the AI processing algorithm module for processing in real time; The sensor device includes a data acquisition module, a status detection module and an environment sensing module; The AI processing algorithm module updates, records and feeds back the light change signal according to the received electrical signal; The automation strategy module has multiple different states and can perform state switching according to the feedback of the AI processing algorithm module.

[0009] In the aforementioned AI-based lighting control system, the data acquisition module is used to collect environmental information in real time and convert it into a digital signal and send it to the AI processing algorithm module for processing; The data acquisition module includes at least an infrared sensor, an ultraviolet sensor and a human body induction sensor; The state detection module is used to monitor the entry and exit status of indoor personnel in real time and at least includes a light source sensor; The environment sensing module is used to monitor environmental information including light, temperature, and humidity both indoors and outdoors.

[0010] In the aforementioned AI-based lighting control system, the specific content of the AI processing algorithm module is as follows: It includes an optical signal input processing sub-module that receives the electrical signal of the light source intensity change collected by the data acquisition module and converts the electrical signal into a digital signal for processing; It includes a timestamp and counting sub-module that records the timestamp of each light change and the current count value; It includes an edge detection sub-module that distinguishes the light change when people enter and exit through edge detection; It includes a feedback sub-module that detects the count value within a preset time period and feeds back the corresponding instructions to the automation strategy module.

[0011] In the aforementioned AI-based lighting control system, the specific content of the automation strategy module is as follows: It includes a status sub-module with multiple different states. The state represents the current working mode and switches to different states according to the instructions received from the AI processing algorithm module; It includes a time control sub-module that has a time window for judging whether to trigger corresponding control actions and records the corresponding timestamp and trigger time.

[0012] In the aforementioned AI-based lighting control system, the light source sensor at least includes a photoresistor.

[0013] An AI-based lighting control method includes the following processes: S1. The sensor device detects the entry and exit of personnel; S2. The data acquisition module detects the entry and exit of personnel; S3. The state detection module detects the entry and exit status of personnel; S4. The AI processing algorithm module receives and analyzes real-time data; S5. The AI processing algorithm module issues corresponding instructions according to the analysis results; S6. The automation strategy module triggers corresponding actions of the lighting equipment according to the received instructions; S7. The lighting equipment executes the switch action.

[0014] In the aforementioned AI-based lighting control method, the AI processing algorithm module sets the initial value of the personnel in the area to 0 and performs addition and subtraction processing on the initial value after receiving the data of detecting the entry and exit of personnel; When a person enters, the light source sensor senses the increase in light intensity and sends a corresponding electrical signal. The AI processing algorithm module converts the electrical signal into a +1 digital signal. When a person leaves, the light source sensor senses the decrease in light intensity and sends out a corresponding electrical signal, and the AI processing algorithm module converts the electrical signal into a digital signal of -1.

[0015] In the aforementioned AI-based lighting control method, the specific contents of S5 are as follows: S5.1, determine whether the time node at which the following instruction can control the lighting device switch has been reached, if so, execute S5.2; otherwise, return to S4; S5.2, the AI processing algorithm module updates the count value; if a closing operation is to be performed, the count value is -1; if an opening operation is to be performed, the count value is +1; S5.3, determine whether the count value meets the requirements, if the count value meets the requirements, execute S5.4, otherwise return to S4; S5.4. The AI processing algorithm module issues corresponding instructions; the instructions include closing or opening instructions.

[0016] In the aforementioned AI-based lighting control method, the specific content of S5.3 is: When a closing instruction is to be issued, it is determined whether the count value is equal to 0. If so, it is determined to meet the requirements, otherwise it is determined not to meet the requirements; When an opening instruction is to be issued, it is determined whether the count value is greater than 0. If so, it is determined to meet the requirements, otherwise it is determined not to meet the requirements.

[0017] Compared with the prior art, the present invention has the following beneficial effects: The system includes sensor devices, AI processing algorithm modules, automation strategy modules and conventional lighting equipment. It uses AI algorithms to automatically control lighting equipment. Its data source is low-cost sensor devices, which reduces labor and subsequent maintenance investment. Compared with the existing AI face recognition collection method, the present invention only collects data through sensors, and the data is more accurate and clear. On this basis, an environmental sensing module is added to monitor the indoor and outdoor light, temperature, humidity and other environmental information, so as to assist in judging the status of people. The automation strategy module is equipped with a time control submodule and timing strategy detection to avoid logical errors such as AI processing failure outside the set time; The present invention uses low-cost light source sensors, etc., with the assistance of environmental sensing. After uploading data, it uses AI algorithm processing and customized timing strategies to automatically issue instructions to control and adjust the intensity and switching of corresponding lighting equipment, thereby effectively achieving the effect of saving labor costs and energy saving.

[0018] The automatic switch mechanism of the present invention can effectively reduce the failure rate and extend the service life of the equipment.

[0019] In summary, the present invention has the advantages of realizing intelligent lighting control at a relatively low cost, achieving energy conservation, low failure rate, and relatively longer service life.

[0020] Description of the Drawings Figure 1 is a schematic diagram of the system structure of the present invention; Figure 2 is a schematic diagram of the method flow of the present invention. Detailed Embodiments

[0021] The present invention will be further described below in conjunction with the description of the drawings and embodiments, but it shall not be used as a basis for limiting the present invention.

[0022] Embodiment. An AI-based lighting control system, as Figure 1 shown, includes a sensor device, an AI processing algorithm module, an automation strategy module, and a supporting lighting device; The sensor device is used to monitor the entry and exit status of indoor personnel in real time and upload the sampled values to the AI processing algorithm module for processing in real time; The sensor device includes a data acquisition module, a status detection module, and an environment sensing module; The AI processing algorithm module updates, records, and feeds back the light change signal according to the received electrical signal; The automation strategy module has multiple different states and can perform state switching according to the feedback of the AI processing algorithm module.

[0023] The data acquisition module is used to collect environmental information in real time and convert it into a digital signal and send it to the AI processing algorithm module for processing; The data acquisition module includes at least an infrared sensor, an ultraviolet sensor, and a human body sensor; The status detection module is used to monitor the entry and exit status of indoor personnel (such as whether there are people in the room) in real time and includes at least a light source sensor; By setting the light source sensor and according to the actual parameters and configurations of the light source sensor, when the light intensity exceeds a certain threshold and the duration reaches a certain length, it is determined as entry, and when the light intensity is lower than a certain threshold and the duration reaches a certain length, it is determined as exit; The environment sensing module is used to monitor environmental information including light, temperature, and humidity inside and outside the room to assist in judging the personnel status; Detect the change in light intensity under different lighting conditions through a light sensor, detect the concentration of water vapor in the air through a thermocouple, a thermal thermometer or a thermistor, and a humidity sensor to reflect the humidity, and integrate each sensor module together so that they can work together and provide consistent data, and then use the collected environmental data to identify the characteristics of the change in the number of people; For example, when the light intensity increases and the temperature rises slightly, it may indicate that someone has entered.

[0024] The specific content of the AI processing algorithm module is as follows: It includes an optical signal input processing sub-module that receives the electrical signal of the light source intensity change collected by the data acquisition module and converts the electrical signal into a digital signal for processing; For example, the change in the light source intensity sensed by the light source sensor. When a person enters a darker area, the light intensity increases, causing the resistance value of the light source sensor (photoresistor) to decrease ("+1" signal); When a person leaves this area, the light intensity decreases, causing the resistance value of the photosensitive sensor (photoresistor) to increase ("-1" signal or 0 signal); It includes a timestamp and counting sub-module that records the timestamp of each light change and the current count value; The specific logic is that when a "+1" signal is received, the timing starts; each "+1" signal increases a counter value (for example, from 0 to 1); It includes an edge detection sub-module that distinguishes the light change when people enter and leave through edge detection; Specifically, when a "+1" signal is received, it means that the light intensity increases (a person enters); when a "0" or "-1" signal is received, it means that the light intensity returns to the initial state (a person leaves); the edge detection sub-module can ensure accurate identification of the instantaneous change when people enter and leave; It includes a feedback sub-module that detects the count value within a preset time period and feeds back the corresponding instruction to the automation strategy module; Specifically, at the artificially preset time, such as working hours or off-duty hours, it will detect the size of the count value. If it is greater than 0, it will keep the lights on and feedback to the automation strategy module; if it is equal to 0, it will issue a command to turn off the lights and feedback to the automation strategy module to execute the operation of turning off the lights.

[0025] The specific content of the automation strategy module is as follows: It includes a status sub-module with multiple different statuses, and the status represents the current working mode, such as "waiting for people to enter", "preparing to turn off the lights", "already closed", "preparing to turn on the lights"; The status sub-module switches different statuses according to the instructions received from the AI processing algorithm module; It includes a time control sub-module, which is provided with a time window for judging whether to trigger corresponding control actions, and records the corresponding timestamps and trigger times. Specifically, when the state changes, the timing starts. After the state does not change again within a certain period of time, the control action (such as turning off the light) is triggered.

[0026] The automation strategy module also has an automatic control process. First, it ensures whether the device connection is successful, usually through wifi or Ethernet connection, or receives control instructions through the HORUS protocol link. When receiving the instruction to control the lighting device, the brightness is gradually reduced and the main power supply is turned off through a low-frequency PWM signal, with the duty cycle decreasing from 100% to 0%, and the power supply is turned off after waiting for the device to stabilize.

[0027] The light source sensor at least includes a photoresistor.

[0028] An AI-based lighting control method, as Figure 2 shown, includes the following processes: S1. The sensor device detects the entry and exit of people. S2. The data acquisition module detects the entry and exit of people. S3. The state detection module detects the entry and exit state of people. S4. The AI processing algorithm module receives and analyzes real-time data. S5. The AI processing algorithm module issues corresponding instructions according to the analysis results. S6. The automation strategy module triggers corresponding actions of the lighting device according to the received instructions. S7. The lighting device executes the switch action.

[0029] The AI processing algorithm module sets the initial value of the number of people in the area to 0, and performs addition and subtraction processing on the initial value after receiving the data of detecting the entry and exit of people. When people enter, the light source sensor senses an increase in light intensity and emits a corresponding electrical signal, and the AI processing algorithm module converts the electrical signal into a digital signal of +1. When people leave, the light source sensor senses a decrease in light intensity and emits a corresponding electrical signal, and the AI processing algorithm module converts the electrical signal into a digital signal of -1.

[0030] The specific content of S5 is as follows: S5.1. Judge whether it reaches the time node for issuing instructions to control the switch of the lighting device. If so, execute S5.2; otherwise, return to S4. S5.2. The AI processing algorithm module updates the count value; if the closing operation is to be executed, the count value is -1; if the opening operation is to be executed, the count value is +1. S5.3. Determine whether the count value meets the requirements. If the count value meets the requirements, execute S5.4; otherwise, return to S4. S5.4. The AI processing algorithm module issues corresponding instructions; the instructions include turn-off or turn-on instructions.

[0031] The specific content of S5.3 is as follows: When a turn-off instruction is to be issued, determine whether the count value is equal to 0. If it is, it is determined to meet the requirements; otherwise, it is determined not to meet the requirements. When a turn-on instruction is to be issued, determine whether the count value is greater than 0. If it is, it is determined to meet the requirements; otherwise, it is determined not to meet the requirements.

Claims

1. An AI-based lighting control system, characterized in that: It includes a sensor device, an AI processing algorithm module, an automation strategy module, and a supporting connected lighting device; The sensor device is used to monitor the entry and exit status of indoor personnel in real time and upload the sampled values to the AI processing algorithm module for processing in real time; The sensor device includes a data acquisition module, a status detection module, and an environmental sensing module; The AI processing algorithm module updates, records, and feeds back a light change signal based on the received electrical signal; The automation strategy module has multiple different states and can perform state switching according to the feedback of the AI processing algorithm module.

2. The AI-based lighting control system according to claim 1, characterized in that: The data acquisition module is used to collect environmental information in real time and convert it into a digital signal for transmission to the AI processing algorithm module for processing; The data acquisition module includes at least an infrared sensor, an ultraviolet sensor, and a human body sensor; The status detection module is used to monitor the entry and exit status of indoor personnel in real time and includes at least a light source sensor; The environmental sensing module is used to monitor environmental information inside and outside the room, including light, temperature, and humidity.

3. The lighting control system based on AI according to claim 1, wherein, The specific content of the AI processing algorithm module is as follows: It includes a light signal input processing sub-module that receives the electrical signal of the light source intensity change collected by the data acquisition module and converts the electrical signal into a digital signal for processing; It includes a timestamp and counting sub-module that records the timestamp of each light change and the current count value; It includes an edge detection sub-module that distinguishes the light change when people enter and exit through edge detection; It includes a feedback sub-module that detects the count value within a preset time period and feeds back the corresponding instruction to the automation strategy module.

4. The AI-based lighting control system according to claim 1, wherein The specific content of the automation strategy module is as follows: It includes a status sub-module that has multiple different states. The status represents the current working mode and switches to different states according to the instruction received from the AI processing algorithm module; It includes a time control sub-module that has a time window for judging whether a corresponding control action needs to be triggered and records the corresponding timestamp and trigger time.

5. The AI-based lighting control system according to claim 2, characterized in that: The light source sensor includes at least a photoresistor.

6. A method for controlling a lighting system based on AI according to any one of claims 1-5, characterized in that, It includes the following process: S1. The sensor device performs detection of personnel entry and exit; S2. The data acquisition module detects the entry and exit of personnel; S3. The status detection module detects the entry and exit status of personnel; S4. The AI processing algorithm module receives and analyzes real-time data; S5. The AI processing algorithm module issues corresponding instructions according to the analysis result; S6. The automation strategy module triggers the corresponding action of the lighting device according to the received instruction; S7. The lighting device executes the switch action.

7. The method for controlling a light based on AI according to claim 6, wherein: The AI processing algorithm module sets the initial value of the number of people in the area to 0 and performs addition and subtraction processing on the initial value after receiving the data of detecting personnel entry and exit; When a person enters, the light source sensor senses an increase in light intensity and emits a corresponding electrical signal, and the AI processing algorithm module converts the electrical signal into a digital signal of +1; When a person leaves, the light source sensor senses a decrease in light intensity and emits a corresponding electrical signal, and the AI processing algorithm module converts the electrical signal into a digital signal of -1.

8. An AI-based lighting control method according to claim 7, characterized in that, The specific content of S5 is as follows: S5.

1. Determine whether the time node for controlling the on / off of the lighting device by the downward instruction is reached. If so, execute S5.2; otherwise, return to S4. S5.

2. The AI processing algorithm module updates the count value. If the turn-off operation is to be executed, the count value is decreased by 1; if the turn-on operation is to be executed, the count value is increased by 1. S5.

3. Determine whether the count value meets the requirements. If the count value meets the requirements, execute S5.4; otherwise, return to S4. S5.

4. The AI processing algorithm module issues the corresponding instruction; the instruction includes a turn-off or turn-on instruction.

9. The method for controlling a light based on AI according to claim 8, wherein The specific content of S5.3 is: When the turn-off instruction is to be issued, determine whether the count value is equal to 0. If so, it is determined to meet the requirements; otherwise, it is determined not to meet the requirements. When the turn-on instruction is to be issued, determine whether the count value is greater than 0. If so, it is determined to meet the requirements; otherwise, it is determined not to meet the requirements.

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