Illuminating system

Abstract

The present disclosure relates to an illumination system, comprising: a first wiring module provided with a plurality of wiring terminals for connecting to a mains supply; the multi-channel lighting unit is used for providing a lamp normally-on channel and an inductive control channel; and the intelligent switch is used for connecting the first wiring module and the multi-channel lighting unit to realize switching between the lamp normally-on channel and the inductive control channel. The intelligent switch is arranged to control the switching between the lamp normally-on access and the inductive control access, so that the switching between the lamp normally-on access and the inductive control access can be flexibly controlled, and the flexibility is improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of electrical lighting, and in particular to a lighting system. Background Art

[0002] With the country's relevant requirements for energy conservation, human body sensing intelligent control is used to control the lighting of public areas such as corridors and stairwells. However, in certain situations, the sensing lamps need to be in a constant light state for a certain period of time, rather than in a sensing control state. There is no relevant solution in the relevant technology. Summary of the invention

[0003] In order to overcome the problems existing in the related art, the present disclosure provides a lighting system to solve the above problems.

[0004] A lighting system comprises: a first wiring module provided with a plurality of wiring terminals for connecting to the mains; Multi-channel lighting unit, used to provide a constant lighting channel and a sensor control channel for lamps; An intelligent switch, used to connect the first wiring module and the multi-channel lighting unit to realize the switching between the lamp constant lighting channel and the induction control channel; The intelligent switch includes a processor and a memory; The processor includes: a machine learning module, a drive control module and a communication module; A camera, a manual switching device, a humidity sensor, a temperature sensor, a light sensor, and an induction detection device respectively connected to the machine learning module; A circuit switching actuator connected to the drive control module; The communication module is used for the intelligent switch to communicate with an external terminal; The temperature sensor is used to detect the temperature of the surrounding environment; Humidity sensor is used to detect the humidity of the surrounding environment; The light sensor is used to detect the external light intensity; The induction detection device is used to detect whether there is a person near the intelligent switch; The manual switching device is used for the user to manually switch the above-mentioned constant light path and the induction control path; The machine learning module is used to conduct comprehensive learning and prediction based on the temperature, humidity, light, human body sensing data and historical switching data of the manual switching device, and send commands to the drive control module; The drive control module is used to receive the control command sent by the machine learning module; According to the control command, a switching instruction is sent to the line switching execution mechanism, so that the line switching execution mechanism switches the line.

[0005] In some embodiments, the communication module is used to receive a control command sent by an external terminal and transmit the control command to the drive control module in a timely manner, thereby achieving precise control of the intelligent switch; The detected temperature, humidity, light, human body sensing data and historical switching data of the manual switching device are sent to an external terminal in real time.

[0006] In some embodiments, a camera is also included to capture images of the surrounding environment and send the images to the machine learning module.

[0007] In some embodiments, the multi-channel lighting unit comprises: Lighting source module, induction control module and second wiring module; The lighting source module is used to provide lighting sources for the lamp constant light path and the induction control path; The induction control module is used to control the on and off of the induction control path; The second wiring module is provided with a plurality of wiring terminals for respectively connecting the lighting source module and the sensing control module.

[0008] In some embodiments, the first wiring module is provided with a plurality of wiring terminals, specifically including a neutral line wiring terminal for connecting the neutral line of the mains; Live wire terminal, used to connect the live wire of the mains.

[0009] In some embodiments, the sensing control module includes: a human body detection sensing element and a sensing auxiliary action element; The human body detection sensing element is used to send instructions to the sensing auxiliary action element when detecting the presence of a human body; The induction auxiliary action element is used to receive the instruction sent by the human body detection induction element, start the delay timing function, and perform a switch action after the delay reaches a specified time to control the on and off of the induction control path.

[0010] In some embodiments, the induction control path includes: a first terminal, the first terminal is located at the output end of the lighting source module; a second terminal, the second terminal being located at an input end of the sensing control module and connected to the first terminal; The third terminal is located at the output end of the sensing control module; The human body detection sensing element and the sensing auxiliary action element are arranged in series between the second terminal and the third terminal; The first wiring terminals in the second wiring module are respectively connected to the third terminal and the second contact.

[0011] In some embodiments, the lamp constant-on path includes: a fourth terminal, the fourth terminal is located between the first terminal and the second terminal; The second wiring terminal is located in the second wiring module; the second wiring terminal is respectively connected to the fourth terminal and the first contact.

[0012] In some embodiments, a third terminal is further provided in the second wiring module, and the third terminal is connected to the ground terminal in the first wiring module.

[0013] In some embodiments, a fourth terminal is further provided in the second wiring module, and the fourth terminal is respectively connected to the neutral terminal in the first wiring module, the fifth terminal on the lighting source module and the sixth terminal of the output end in the induction control module.

[0014] The technical solution provided by the embodiments of the present disclosure may have the following beneficial effects: The present application controls the switching of the constant-light path of the lamp and the induction control path by setting an intelligent switch, and can flexibly switch between the constant-light path of the lamp and the induction control path, thereby improving flexibility.

[0015] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0017] Figure 1 is a structural diagram of a lighting system according to an exemplary embodiment; Figure 2 is a structural block diagram of an intelligent switch according to an exemplary embodiment; Figure 3 is a lighting system diagram according to an exemplary embodiment; Figure 4 The figure is a flow chart of a lighting control method according to an exemplary embodiment. DETAILED DESCRIPTION

[0018] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that the disclosure will be more comprehensive and complete and the concepts of the example embodiments are fully conveyed to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure.

[0019] The described features, structures or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details, or other methods, components, materials, etc. may be adopted. In other cases, known structures, materials or operations are not shown or described in detail to avoid blurring the main technical ideas of the present disclosure.

[0020] When a structure is “on” another structure, it may mean that the structure is integrally formed on the other structure, or that the structure is “directly” disposed on the other structure, or that the structure is “indirectly” disposed on the other structure via another structure.

[0021] The terms "a", "an", "the" are used to indicate the presence of one or more elements / components / etc.; the terms "including" and "having" are used to indicate an open-ended inclusive meaning and mean that there may be additional elements / components / etc. in addition to the listed elements / components / etc. The terms "first" and "second" etc. are used only as labels and are not intended to limit the quantity of their objects.

[0022] This application proposes a lighting system, see attached Figure 1 A structural schematic diagram of a lighting system is shown; the system comprises: The first wiring module 21 is provided with a plurality of wiring terminals for connecting to the mains power.

[0023] The multi-channel lighting unit 4 is used to provide a lamp constant lighting channel and a sensor control channel.

[0024] The intelligent switch 23 is used to connect the first wiring module 21 and the multi-channel lighting unit 4 to achieve the switching between the lamp's constant lighting channel and the induction control channel.

[0025] See attached Figure 2 The intelligent switch 23 includes a processor 011 and a memory 012 .

[0026] The processor 011 includes: a machine learning module 0111, a drive control module 0112 and a communication module 0113; A camera, a manual switching device 03, a humidity sensor 05, a temperature sensor 04, a light sensor 02, and an induction detection device 08 are respectively connected to the machine learning module.

[0027] A line switching actuator 07 connected to the drive control module 0112.

[0028] In this embodiment, the circuit switching actuator 07 can switch between the lamp constant lighting path and the induction control path.

[0029] The communication module 0113 is used for the intelligent switch 23 to communicate with an external terminal, including receiving a closing control instruction sent by the external terminal.

[0030] The temperature sensor 05 is used to detect the temperature of the surrounding environment and send the detected temperature to the machine learning module 0111.

[0031] The humidity sensor 04 is used to detect the humidity of the surrounding environment and send the detected humidity to the machine learning module 0111.

[0032] The light sensor 02 is used to detect external light intensity and send the detected light intensity to the machine learning module 0111.

[0033] The induction detection device 08 is used to detect whether there is a person near the intelligent switch.

[0034] The manual switching device 03 is used for the user to manually switch the above-mentioned always-on path and the induction control path. The machine learning module 0111 can record the time when the manual switching device 03 performs switching, as well as the line switching plan.

[0035] The machine learning module 0111 is used to conduct comprehensive learning and prediction based on the temperature, humidity, light, human body sensing data and historical switching data of the manual switching device, and send commands to the drive control module.

[0036] In this embodiment, the machine learning module 011 can be implemented using a machine learning model. By inputting a large amount of data, the machine learning module can grasp the law of line switching, thereby predicting the switching action that will occur on the line, and thus automatically performing the switching.

[0037] The machine learning module 0111 can be implemented using models such as decision tree, random forest, multi-layer perceptron, and support vector machine.

[0038] The drive control module 0112 is used to receive the control command sent by the machine learning module; According to the control command, a switching instruction is sent to the line switching execution mechanism, so that the line switching execution mechanism switches the line.

[0039] The above technical solution of the present application controls the switching of the constant lighting path of the lamp and the induction control path by setting an intelligent switch, and can flexibly switch between the constant lighting path of the lamp and the induction control path, thereby improving flexibility. The machine learning module conducts comprehensive learning and prediction based on the temperature, humidity, light, human body sensing data and the historical switching data of the manual switching device, and sends commands to the drive control module, which significantly improves the level of intelligence.

[0040] In some embodiments, the machine learning module 0111 may employ a decision tree.

[0041] By analyzing features such as temperature, humidity, and historical switching data, a tree-shaped decision structure is constructed. Each internal node is a test on an attribute, the branch is the test output, and the leaf node is a category (sensing line or normally open line). In specific implementation, a large number of samples containing data such as temperature, humidity, historical switching time, and corresponding line switching results can be collected. Preprocess the data, such as normalization. Use indicators such as information gain and Gini coefficient to select the optimal features for node splitting, and recursively construct a decision tree until the stop condition is met.

[0042] In some embodiments, the machine learning module 0111 may employ a random forest model.

[0043] The random forest model is based on the decision tree model. It is an integration of multiple decision trees. The final decision is made by combining the results of multiple decision trees through voting and other methods. This can reduce the risk of overfitting and improve the generalization ability of the model. In specific implementation, multiple sub-datasets can be constructed from the original training data with replacement sampling, and the decision trees can be trained separately. During training, some features are randomly selected at each node to find the optimal split. Finally, the prediction results of all decision trees are combined, and the final line switching category is determined according to the majority voting principle.

[0044] In some embodiments, the machine learning module 0111 may be a multi-layer perceptron.

[0045] Multilayer perceptron is a neural network composed of input layer, hidden layer and output layer. The layers are fully connected. The input is transformed nonlinearly through activation function to learn the mapping relationship between input features and output line switching. In specific implementation, the temperature, humidity and other data are standardized and used as the input of the input layer node. Determine the number of layers and nodes of the hidden layer, and select a suitable activation function such as ReLU. Calculate the error and update the weight through the back propagation algorithm, and continuously train the model until the loss function converges. There are 2 output layer nodes, representing the induction line and the normally open line respectively. The probability of belonging to each category is obtained through the Softmax function, and the one with the highest probability is selected as the prediction result.

[0046] In some embodiments, in the evening, the real-time data obtained by the smart switch is: temperature: 28°C, humidity: 55%, light intensity: 300lux. It is known from the user's historical switching data that under such temperature, humidity and light intensity conditions, if there are frequent activities nearby, the user will usually switch the line to the induction control line, and use the induction detection device to control the lights and other equipment according to the activities of the people, so as to achieve the purpose of energy saving and convenience; if there is no activity or the user has special needs, it will switch to the always-on line. Combined with the information fed back by the induction detection device, if the smart switch detects that there are people appearing near the smart switch with a high frequency, such as detecting 5 people passing by within 10 minutes, based on this comprehensive information, the smart switch predicts that the user may switch the line to the always-on line within the next 5 minutes. The machine learning module sends a switching command to the drive control module to switch to the always-on line.

[0047] If the humidity rises to 70% and the light intensity drops to 200 lux, but the sensing detection device shows no activity for a long time and historical data shows that the user will switch to the sensing line in this case, the machine learning module sends a switching command to the drive control module to switch to the sensing line.

[0048] In some embodiments, suppose that in a warehouse environment, when the temperature is high and the humidity is low in summer, for example, the temperature reaches 35°C and the humidity is 30%, the air in the warehouse is relatively dry, and the goods may be at a certain risk of fire. In order to avoid heat accumulation caused by long-term lighting, which increases the risk of fire, and considering that the staff generally move more regularly in this environment, the smart switch will tend to switch the line to an induction control line based on historical data and current environmental factors. When a staff member enters the warehouse, the light automatically turns on, and automatically turns off after leaving, which can both meet the lighting needs and reduce the risk of fire.

[0049] In winter, when the temperature is 5°C and the humidity reaches 85%, the warehouse may be relatively humid and the goods are easily affected by moisture. In order to maintain a certain degree of dryness and sufficient lighting, and to facilitate staff to check whether the goods are damp, historical data shows that users usually want the lights to remain on. At this time, the smart switch will combine these factors and predict that the user may need to switch the line to a constantly on line to provide continuous lighting and ensure the safety of the warehouse environment and goods.

[0050] In some embodiments, the scenario is a corridor of a homestay, where the smart switch controls the lighting system of the corridor, and the line switches between the always-on channel and the induction channel. On a summer afternoon, the temperature was 32°C and the humidity was 70%, and the human body sensing device showed that no one had passed by in the past half an hour. According to historical switching data, under such temperature and humidity conditions, if no one is active for a long time, in order to save energy, users usually choose the induction channel. Based on this, the machine learning module predicts that the user may want to switch to the induction channel, and the machine learning module sends a switching command to the drive control module to switch to the induction line.

[0051] When evening comes, the temperature drops to 28°C and the humidity is 65%, and the human body sensor detects that residents are passing by frequently. At the same time, historical data shows that during this period and under environmental conditions, residents prefer the always-on passage for convenience. The machine learning module combines this information to predict that the user is about to switch to the always-on passage, adjust the parameters in advance, and respond quickly to provide continuous lighting when the user issues a switch command.

[0052] In some embodiments, the scene is set in a gym, and the smart switch 23 controls the switching between the constant light channel and the sensing channel.

[0053] Morning period: temperature 25℃, humidity 50%, which is a relatively comfortable range for human body. According to historical data, there are fewer gym members in the morning, and they mainly exercise in specific areas. At this time, the human body sensing device detects that there are only a few areas with people moving around, and the distribution is irregular. Based on this comprehensive information, the smart switch predicts that it is suitable to switch to the sensing channel at present. When someone enters the sensing range, the lighting and ventilation equipment in the corresponding area will start, and will automatically shut down after the person leaves. This can not only meet the needs of exercisers, but also achieve energy saving.

[0054] Peak hours in the evening: The temperature rises to 28°C, the humidity also increases to 60%, and the gym is crowded. The human body sensor shows that people are frequently detected in various areas. Combined with historical data, members want lighting and ventilation equipment to run continuously during this period to ensure a good exercise environment. Therefore, the smart switch predicts that it should switch to the always-on channel to ensure that the lights are always bright and the ventilation equipment is continuously running, providing members with stable and comfortable fitness conditions.

[0055] In some embodiments, for example, in the case of night mode learning, the machine learning module observes that the user switches the normally open circuit to the sensing circuit between 22:00 and 6:00 for three consecutive days. After the light sensor detects the dark environment, the following actions can be automatically performed: In the first action, the machine learning module 0111 can determine that the switch is automatically executed at the same time on the 4th day. In the second action, the switch is automatically executed at the same time on the 4th day, and no user intervention is detected, then the learning weight is strengthened, for example, the learning weight is +0.2. If on the 4th day, it is detected that the user has intervened, if the user changes back to the normally open circuit, the reverse update is triggered (the penalty coefficient γ takes effect) In some embodiments, in the abnormal power usage protection scenario, when it is detected that the user is accustomed to turning off the circuit in the morning on weekdays, but suddenly switches it frequently during non-working hours one day: abnormal pattern recognition is initiated, and if it is determined to be a potential risk (such as child's misoperation), the circuit is automatically locked, and the communication module can push an alarm to the mobile phone APP.

[0056] In some embodiments, the communication module 0113 is used to receive control commands sent by an external mobile phone APP, and transmit the control commands to the drive control module in a timely manner, thereby achieving precise control of the smart switch.

[0057] The detected temperature, humidity, light, human body sensing data and historical switching data of the manual switching device are sent to the external mobile phone APP in real time. In this way, the manager can easily obtain and understand this data information through the mobile phone APP, and then have a more comprehensive grasp of the working status and environmental conditions of the smart switch. In addition, the manager can also send instructions to the communication module through the mobile phone APP. After receiving the instructions, the communication module will pass them to the smart switch to realize remote control of the switch.

[0058] In some embodiments, a camera 06 is also included for capturing images of the surrounding environment and sending the images to the machine learning module.

[0059] In this embodiment, the image can assist in verifying the detection result of the induction detection device 08. The machine learning module can determine whether there is a person in the image through learning and training, and can also determine the actions of the person in the image and other objects through learning and training. This helps to improve the intelligence of the smart switch and facilitates making more accurate judgments.

[0060] In some embodiments, take the underground parking lot scene as an example, the temperature is 20℃, the humidity is 70%, the light is dim (50lux), and the sensing detection device detects vehicles entering and exiting as well as people. The camera captures the vehicle entry and exit channels and parking spaces. If historical data shows that the traffic volume is heavy during this period, the smart switch switches to the always-on line to facilitate the driver to see the road conditions; if the traffic volume is light late at night, the sensing detection device detects long-term unmanned vehicle activities, and combines the temperature, humidity and other data with historical records, the smart switch switches to the sensing line, and the light turns on when a car or person enters.

[0061] In some embodiments, take the hotel corridor as an example. During the peak check-in period, around 7pm, the hotel enters the peak of check-in and outing activities. The sensing device continuously detects that people frequently pass through the corridor, and the corridor camera captures people walking and talking with suitcases. After analysis, it is found that the activities of people are dense and the itinerary is uncertain during this period. Combined with the temperature of 25℃, humidity of 50%, light intensity of 200lux, and historical data that guests want stable lighting during this period, the smart switch determines to switch to the normally open line to provide guests with continuous and sufficient lighting to ensure safe and convenient passage.

[0062] At 2 a.m., the induction device occasionally detects someone passing by. The camera captures the slow pace of the person, who usually returns to his room to rest alone. At this time, the temperature is 23°C, the humidity is 45%, and the light intensity is 50 lux. Based on historical data, it is known that guests are less active at night and want quiet. The smart switch switches the line to the induction line. Only when someone approaches, the light of appropriate brightness is automatically turned on, which not only meets the needs but also avoids disturbing the guests' rest.

[0063] In some embodiments, the multi-channel lighting unit 4 includes: a lighting source module 1 , a sensing control module 2 and a second wiring module 3 .

[0064] The lighting source module 1 is used to provide lighting sources for the lamp constant light path and the induction control path.

[0065] The induction control module 2 is used to control the on-off of the induction control path.

[0066] The second wiring module 3 is provided with a plurality of wiring terminals for respectively connecting the lighting source module 1 and the sensing control module 2 .

[0067] In some embodiments, the first wiring module 21 is provided with a plurality of wiring terminals, specifically including a neutral line wiring terminal N for connecting a neutral line of the mains.

[0068] The live wire terminal L is used to connect the live wire of the mains.

[0069] Grounding terminal PE is used for grounding.

[0070] In some embodiments, the sensing control module 2 includes: a human body detection sensing element 5 and a sensing auxiliary action element 6.

[0071] The human body detection sensing element 5 is used to send instructions to the sensing auxiliary action element when detecting the presence of a human body.

[0072] The induction auxiliary action element 6 is used to receive the instruction sent by the human body detection induction element, start the delay timing function, and perform a switch action after the delay reaches a specified time to control the on and off of the induction control path.

[0073] In some embodiments, the induction auxiliary action element 6 may include: Receiving module: used to receive command signals from human detection sensing elements (such as infrared sensors, cameras, etc.). This module needs to have high sensitivity and low false alarm rate to ensure accurate reception of human detection signals.

[0074] Delay timing module: After receiving the command signal, the delay timing function is started. This module can time according to the preset delay time (such as 5 minutes, 10 minutes, etc.) and output a control signal after the specified time is reached.

[0075] Switch action module: After the delay timing module outputs the control signal, it performs the switch action to control the on and off of the induction control path. This module needs to have stable switching performance and a long service life.

[0076] The working process of the induction auxiliary action element 6 is as follows: The human body detection sensing element detects that a human body enters or leaves a designated area, and sends a command signal to the receiving module of the sensing auxiliary action element 6 .

[0077] After receiving the command signal, the receiving module transmits the signal to the delay timing module and starts the delay timing function.

[0078] The delay timing module counts according to the preset delay time. During the timing process, if the command signal of the human body detection sensor is received again (such as the human body enters the area again during the delay period), the timing will be restarted.

[0079] When the delay reaches the specified time, the delay timing module outputs a control signal to the switch action module.

[0080] After receiving the control signal, the switch action module performs a switch action to control the on and off of the inductive control path. For example, if the inductive control path is connected to a lighting device, the switch action module will turn off the lighting device.

[0081] In this embodiment, the inductive control path includes: a first terminal 15, which is located at the output end of the lighting source module 1. A second terminal 13, which is located at the input end of the inductive control module 2 and connected to the first terminal 15. A third terminal 12 is located at the output end of the inductive control module 2. Between the second terminal 13 and the third terminal 12, the human body detection sensing element 5 and the inductive auxiliary action element 6 are arranged in series. The wiring terminal 9 in the second wiring module 3 is respectively connected to the third terminal 12 and the second contact in the intelligent switch 23.

[0082] See attached Figure 1 When the second contact in the intelligent switch 23 is connected, the induction control path is connected.

[0083] In some embodiments, the lamp constant-on path includes: a fourth terminal 14 , and the fourth terminal 14 is located between the first terminal 15 and the second terminal 13 .

[0084] The second wiring terminal 8 is located in the second wiring module 3 ; the second wiring terminal 8 is respectively connected to the fourth terminal 14 and the first contact in the intelligent switch 23 .

[0085] See attached Figure 1 When the first contact in the intelligent switch 23 is connected, the lamp is always on path is connected.

[0086] In some embodiments, a third wiring terminal 10 is further provided in the second wiring module 3 , and the third wiring terminal 10 is connected to the grounding terminal PE in the first wiring module 21 .

[0087] In some embodiments, a fourth terminal 7 is further provided in the second wiring module 3, and the fourth terminal 7 is respectively connected to the neutral terminal N in the first wiring module 21, the fifth terminal 16 on the lighting source module and the sixth terminal 11 of the output end in the sensing control module 2.

[0088] The above-mentioned technical solution of the present application, in combination with intelligence, can realize the induction (automatic control) multi-channel lighting unit during use, and its "automatic control" function can be turned on or off. When turned on, the multi-channel lighting unit realizes the automatic control function of turning on the light when people come and turning off the light when people leave (delay); when turned off, the multi-channel lighting unit is just an ordinary lamp, which can be turned on and off manually. The invention realizes the function of realizing multi-scene control requirements. It truly achieves the purpose of simple power distribution system, low overall cost, convenient implementation and flexible use.

[0089] The following is based on the attached Figure 3The specific embodiment shown further describes the application of the present invention in detail. Three sets of multi-channel lighting units of the present invention are arranged in the corridor; three wires are passed through the wire tube A between the mains distribution box and the nearest multi-channel lighting unit 4, namely the phase line, N line and PE line; four wires are passed through the wire tube B between the intelligent switch and the multi-channel lighting unit, namely the phase line, control line, N line and PE line; four wires are passed through the wire tube C between two multi-channel lighting units 4, namely the phase line, control line, N line and PE line; when the intelligent switch 23 is turned to the constant light position, the multi-channel lighting unit 4 is always on, which is suitable for the state where the corridor needs to be always on instead of flickering due to whether there are people; if the lights need to be turned off, the intelligent switch 23 is switched to another gear, and the lights in the corridor will automatically turn off as long as there is no one; when the intelligent switch is turned to the induction control gear, it is suitable for the state where the corridor needs energy-saving control, if there is someone, the light is on and delayed to turn off after the person leaves; if there is no one, it is always in the off state.

[0090] See attached Figure 4 A lighting control method is shown, the method comprising the following steps: In step S101, it is determined whether the induction control path is connected; if yes, step S102 is executed, if not, step S112 is executed; In step S102, the power receiving end of the sensing control module is connected, and the power supply is connected; In step S103, the lighting of the lamp is controlled by sensing; In step S104, it is determined whether there is anyone within the control range; In step S105, the auxiliary contact of the sensing control module is closed, the sensing path is connected, and the timing is triggered at the same time; In step S106, the lamp is turned on; In step S107, it is determined whether the set time has been reached; In step S108, the auxiliary contact of the sensing control module is disconnected, and the sensing path is not conducting; In step S109, the lamp is turned off; In step S110, the auxiliary contact of the sensing control module remains disconnected, and the sensing path is not conducting; In step S111, the lamp is turned off; In step S112, the relevant lines are connected, the power receiving end of the lamp sensing module is disconnected, and there is no power input; In step S113, the lamp is always on and is not controlled by the sensor.

[0091] The processor 011 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0092] In some embodiments, the memory 012 may be an internal storage unit of the intelligent switch 23, such as a hard disk or memory of the intelligent switch 23. In other embodiments, the memory 012 may also be an external storage device of the intelligent switch 23, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the intelligent switch 23. Further, the memory 012 may include both an internal storage unit of the intelligent switch 23 and an external storage device. The memory 012 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory 012 may also be used to temporarily store data that has been output or is to be output.

[0093] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0094] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the above-mentioned device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0095] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The above-mentioned computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the above-mentioned computer program includes computer program code, and the above-mentioned computer program code can be in source code form, object code form, executable file or some intermediate form. The above-mentioned computer-readable medium may at least include: any entity or device that can carry the computer program code to the camera / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0096] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0097] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the present disclosure. This application is intended to cover any variations, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the art that are not disclosed in the present disclosure. The specification and examples are to be considered as exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0098] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A lighting system, characterized in that: include: A first wiring module is provided with a plurality of wiring terminals for connecting to the mains; Multi-channel lighting unit, used to provide a constant lighting channel and a sensor control channel for lamps; An intelligent switch, used to connect the first wiring module and the multi-channel lighting unit to realize the switching between the lamp constant lighting channel and the induction control channel; The intelligent switch includes a processor and a memory; The processor includes: a machine learning module, a drive control module and a communication module; A camera, a manual switching device, a humidity sensor, a temperature sensor, a light sensor, and an induction detection device respectively connected to the machine learning module; A circuit switching actuator connected to the drive control module; The communication module is used for the intelligent switch to communicate with an external terminal; The temperature sensor is used to detect the temperature of the surrounding environment; Humidity sensor is used to detect the humidity of the surrounding environment; The light sensor is used to detect the external light intensity; The induction detection device is used to detect whether there is a person near the smart switch; The manual switching device is used for the user to manually switch the above-mentioned constant light path and the induction control path; The machine learning module is used to conduct comprehensive learning and prediction based on the temperature, humidity, light, human body sensing data and historical switching data of the manual switching device, and send commands to the drive control module; The drive control module is used to receive the control command sent by the machine learning module; According to the control command, a switching instruction is sent to the line switching execution mechanism, so that the line switching execution mechanism switches the line.

2. The lighting system according to claim 1, characterized in that The communication module is used to receive the control command sent by the external terminal and transmit the control command to the drive control module in a timely manner, so as to achieve precise control of the intelligent switch; The detected temperature, humidity, light, human body sensing data and historical switching data of the manual switching device are sent to an external terminal in real time.

3. The lighting system according to claim 1, characterized in that It also includes a camera for capturing images of the surrounding environment and sending the images to the machine learning module.

4. The lighting system according to claim 1, characterized in that The multi-channel lighting unit comprises: Lighting source module, induction control module and second wiring module; The lighting source module is used to provide lighting sources for the lamp constant light path and the induction control path; The induction control module is used to control the on and off of the induction control path; The second wiring module is provided with a plurality of wiring terminals for respectively connecting the lighting source module and the sensing control module.

5. The lighting system according to claim 4, characterized in that: The first wiring module is provided with a plurality of wiring terminals, specifically including a neutral line wiring terminal for connecting the neutral line of the mains; Live wire terminal, used to connect the live wire of the mains.

6. The lighting system according to claim 4, characterized in that The sensing control module includes: a human body detection sensing element and a sensing auxiliary action element; The human body detection sensing element is used to send instructions to the sensing auxiliary action element when detecting the presence of a human body; The induction auxiliary action element is used to receive the instruction sent by the human body detection induction element, start the delay timing function, and perform a switch action after the delay reaches a specified time to control the on and off of the induction control path.

7. The lighting system according to claim 1, characterized in that The induction control path includes: a first terminal, the first terminal is located at the output end of the lighting source module; a second terminal, the second terminal being located at an input end of the sensing control module and connected to the first terminal; The third terminal is located at the output end of the sensing control module; A human body detection sensing element and a sensing auxiliary action element are arranged in series between the second terminal and the third terminal; The first wiring terminal in the second wiring module is respectively connected to the third terminal and the second contact in the intelligent switch.

8. The lighting system according to claim 7, characterized in that The lamp constant-on path comprises: a fourth terminal, the fourth terminal being located between the first terminal and the second terminal; The second wiring terminal is located in the second wiring module; the second wiring terminal is respectively connected to the fourth terminal and the first contact in the intelligent switch.

9. The lighting system according to claim 4, characterized in that: The second wiring module is also provided with a third wiring terminal, and the third wiring terminal is connected to the grounding wiring terminal in the first wiring module.

10. The lighting system according to claim 4, characterized in that The second wiring module is also provided with a fourth wiring terminal, and the fourth wiring terminal is respectively connected to the neutral line wiring terminal in the first wiring module, the fifth terminal on the lighting source module and the sixth terminal of the output end in the induction control module.

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