Distributed lighting dimming method and system
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHEJIANG HUIKONG TECH CO LTD
- Filing Date
- 2026-01-27
- Publication Date
- 2026-05-29
Smart Images
Figure CN121586133B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to a distributed lighting dimming method and system, belonging to the field of electric light source control technology. Background Technology
[0002] Distributed intelligent lighting control systems, generally employing a modular and distributed system architecture, are widely used in various buildings such as office buildings, hotels, commercial centers, and stadiums. They enable the on / off control of various lighting fixtures, representing an effective energy-saving measure. Traditional distributed intelligent lighting control systems typically use timed control of the lighting throughout the system. This timed control often results in the lighting fixtures operating at high energy consumption for extended periods. On one hand, this reduces the lifespan of the fixtures, and the distributed intelligent lighting control system struggles to accurately identify damaged fixtures. On the other hand, even when the light intensity requirement is low, the entire system often maintains a uniform high light intensity, leading to energy waste. Therefore, it is necessary to address the shortcomings of traditional distributed intelligent lighting control systems in accurately adjusting the operating status of lighting fixtures by proposing a distributed lighting dimming method and system. Summary of the Invention
[0003] This invention provides a distributed lighting dimming method and system, which can solve the problem that distributed intelligent lighting control systems have difficulty in accurately adjusting the working state of lighting lamps.
[0004] This invention provides a distributed lighting dimming method, comprising:
[0005] Receive network access applications from each signal concentrator that manages the lighting fixtures;
[0006] Based on the network access application, establish a communication link with each signal concentrator;
[0007] Select a signal concentrator;
[0008] Real-time response dataset received by the signal concentrator;
[0009] Based on the parsed real-time response dataset, the working status of each lighting lamp and the real-time on-site light intensity are determined.
[0010] The working status of each light fixture is used to provide feedback on light fixture maintenance.
[0011] Adjust the lighting intensity of the lights according to the real-time ambient light intensity.
[0012] Return to the previous step and select a signal concentrator until all signal concentrators have been selected;
[0013] Return to the network access application of each signal concentrator that manages the lighting lights, until a stop operation instruction is received.
[0014] This invention provides a distributed lighting dimming system, comprising:
[0015] The host computer is used to execute the distributed lighting dimming method described above;
[0016] The signal concentrator is connected to the host computer for communication.
[0017] This invention provides a distributed lighting dimming method and system. By receiving network access applications from each signal concentrator managing the lighting fixtures, a communication link can be established with each signal concentrator. The distributed lighting dimming system can operate in various preset scenarios or modes, automatically switching between them according to preset times or trigger conditions. The signal concentrators in the communication link report various control logics and mapping relationships. When a module managed by a signal concentrator fails, only the controlled object of that module is affected, without endangering the entire distributed lighting dimming system. The distributed lighting dimming system uses a soft-start method, which can suppress inrush voltage and surge voltage of the power grid, thereby extending the service life of the lighting fixtures. It receives real-time responses from the signal concentrators. The dataset can automatically identify online lighting fixtures, detect lighting faults, determine the working status and real-time ambient light intensity of each fixture, and collect and upload ambient light intensity values in real time. It boasts high accuracy, a wide measurement range, and good stability, enabling lights to be switched off during the day and automatically turned on at night, saving energy. By utilizing the working status of each fixture, it provides feedback on maintenance needs, facilitating the identification of malfunctioning fixtures and aiding in the self-checking of the entire distributed lighting dimming system. Based on real-time ambient light intensity, it adjusts the lighting intensity, enabling the distributed intelligent lighting control system to accurately regulate the working status of lighting fixtures, reducing high-loss conditions and energy waste. Attached Figure Description
[0018] Figure 1 This is a schematic flowchart of a distributed lighting dimming method according to an embodiment of the present invention;
[0019] Figure 2 This is a structural connection diagram of a distributed lighting dimming system according to an embodiment of the present invention;
[0020] Figure label:
[0021] 100 - Host computer; 200 - Signal concentrator. Detailed Implementation
[0022] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0023] like Figure 1 As shown, the distributed lighting dimming method provided by the present invention includes:
[0024] S100 receives network access applications from each signal concentrator that manages the lighting.
[0025] S200 establishes a communication link with each signal concentrator based on the network access application.
[0026] S300, select a signal concentrator.
[0027] S400, receives the real-time response dataset from the signal concentrator.
[0028] The S500, based on a parsed real-time response dataset, determines the operating status of each light fixture and the real-time ambient light intensity.
[0029] The S600 uses the operating status of each light to provide feedback on light maintenance.
[0030] The S700 adjusts the lighting intensity of the lights based on the real-time ambient light intensity.
[0031] S800, return to the previous step of selecting a signal concentrator until all signal concentrators have been selected.
[0032] S900, return to the network access application of the signal concentrator that receives each management lighting light until a stop operation instruction is received.
[0033] Specifically, when establishing a communication link with each signal concentrator, a power-on command is sent to the signal concentrator to start the distributed lighting dimming system. The initial state upon power-on is set to fully open. The circuit is then set to standby mode via a button, then powered off and then powered on again. The initial state of the circuit is observed to ensure it matches the set value, the circuit indicator lights match the circuit status, and the circuit status feedback messages match the circuit status. Three scenarios will occur: 1) Disconnecting all circuits and then powering on again: Relays should not activate, all circuits should be disconnected, all circuit indicator lights should be off, and all feedback messages should be 0. 2) Engaging all circuits and then powering on again: Relays should activate, all circuits should be disconnected, all circuit indicator lights should be off, and all feedback messages should be 0. 3) Engaging some circuits and disengaging others and then powering on again: The previously engaged relays should activate, eventually all circuits should be disconnected, indicator lights should be off, and all feedback messages should be 0. Using the power-on command to the signal concentrator allows for preliminary detection of the lighting system's operational status.
[0034] The system receives real-time response datasets from the signal concentrator and, based on the parsed datasets, determines the operating status of each light. The operating status of a light depends on the settings of its associated circuits and the actions of its linked circuits. Only circuits associated with a light can respond to its associated circuit actions. Unassociated circuits do not respond to actions of their associated circuits; therefore, these two settings must be used together. When a light is operating normally, associated circuits respond to button presses on their associated circuits but do not respond to message controls on those circuits. In other words, when a light is operating normally, associated circuits only support local control and cannot be remotely controlled. Unassociated circuits are unaffected and can be controlled both locally and remotely.
[0035] This embodiment relates to a distributed lighting dimming method. By receiving network access applications from each signal concentrator managing the lighting fixtures, a communication link can be established with each signal concentrator. The distributed lighting dimming system can operate in various preset scenarios or modes, automatically switching between them according to preset times or trigger conditions. The signal concentrators in the communication link report various control logics and mapping relationships. When a module managed by a signal concentrator fails, only the controlled object of that module is affected, without endangering the entire distributed lighting dimming system. The distributed lighting dimming system uses a soft-start method, which can suppress inrush voltage and surge voltage of the power grid, thereby extending the service life of the lighting fixtures. It also receives real-time responses from the signal concentrators. The dataset can automatically identify online lighting fixtures, detect lighting faults, determine the working status and real-time ambient light intensity of each fixture, collect and upload ambient light intensity values in real time, and achieve high accuracy, wide measurement range, and good stability. It can realize daytime switching off and automatic nighttime switching on, saving energy. By utilizing the working status of each lighting fixture, it can provide feedback on lighting maintenance, enabling the identification of abnormal lighting fixtures and facilitating the self-testing of the entire distributed lighting dimming system. Based on the real-time ambient light intensity, it can adjust the lighting intensity of the lighting fixtures, enabling the distributed intelligent lighting control system to accurately regulate the working status of the lighting fixtures, reducing high-loss states and energy waste.
[0036] In one embodiment of this application, S200 includes:
[0037] S211, select a network access application.
[0038] S212, resolves network access application.
[0039] The specific process of resolving network access applications is as follows:
[0040] First, the received network access application data packet is unpacked and decoded to extract its core fields. These fields mainly include the unique coded ID of the signal concentrator applying for network access, and the physical location coordinates of the signal concentrator, which were pre-configured during deployment or obtained through the built-in GPS module. Next, based on the extracted coded ID, the internally stored topology database is queried to retrieve the coordinate information of all signal concentrators that have successfully established communication links and are in normal working order, forming a known and stable set of network node coordinates. Then, the coordinates of the newly applying signal concentrator are used as evaluation points and merged with the aforementioned known node coordinate set to form a complete spatial point set. The convex hull algorithm is then performed on this point set. This calculation process first identifies all points located on the outermost edge of the point set. These points together form a convex polygon that completely encloses all other points in the set, thus determining the theoretical coverage boundary of the current network (including the newly applying node). After execution, the relationship between the coordinates of the newly applying node and the calculated convex hull boundary is analyzed. Specifically, the analysis includes determining whether the node coordinates are located inside the convex hull, adjacent to the convex hull boundary, or clearly outside the current convex hull. Simultaneously, the distances between the node and the nearest key nodes on the convex hull boundary are calculated. Based on the above spatial relationship analysis, a structured network topology impact assessment report is generated. This report not only includes the new node's coded ID and coordinates but also identifies its spatial location type relative to the existing network (such as an internal filling point, a boundary extension point, or an external isolated point). It also assesses the potential impact of its addition on network coverage continuity and signal relay paths, such as whether it can fill coverage holes, extend coverage, or cause communication link instability due to excessive isolation. Finally, this topology assessment report, which incorporates the convex hull algorithm analysis results, is associated with the original coded ID, coordinates, and other basic information of the network access application to form an enhanced parsing result data packet. This provides accurate spatial decision-making basis for subsequent steps to determine whether the node is a network target and how to establish optimized links.
[0041] S213, obtain the code ID of the signal concentrator that manages the lighting.
[0042] S214. Use the encoded ID to determine whether the signal concentrator corresponding to the encoded ID is the target signal concentrator for the network.
[0043] S215 If the signal concentrator corresponding to the encoded ID is not the target signal concentrator for networking, then feedback information indicating networking failure will be provided.
[0044] S216. If the signal concentrator corresponding to the encoded ID is the target signal concentrator of the network, then the communication link with the signal concentrator is established using the encoded ID.
[0045] S217, return to the previous step and select a network access application until all network access applications have been selected.
[0046] Understandably, in a distributed system, the coded ID is used as an index to store the parsing record of the corresponding session, forming a complete operation chain. If a change in interconnection parameters is detected, the re-parsing logic is triggered to prevent scheduling errors caused by network switching. The core of using the network access application to parse the coded ID is to track the session lifecycle through a unique identifier and combine it with the network environment parameters of the distributed lighting system to achieve precise scheduling and fault diagnosis of lighting.
[0047] In this embodiment, the signal concentrator aggregates the status of the lighting fixtures and transmits the information back to the host computer via LoRaWAN to achieve remote dimming and fault warning. The signal concentrator's network configuration is achieved through the coded ID obtained from the network access application. The host computer receives the coded ID of the signal concentrator connected to the network. During network debugging, the host computer uses the received coded ID table to determine whether the signal concentrator corresponding to the coded ID is the target signal concentrator for the network. Therefore, the coded ID can be used to determine if there are any deviations in the signal concentrator's network configuration. The coded ID is also used to achieve the addressing function of the communication link between the signal concentrator and the host computer.
[0048] In one embodiment of this application, S200 further includes:
[0049] S221, Select an ID encoding.
[0050] S222, Receive monitoring data from the signal concentrator corresponding to the encoded ID.
[0051] S223, Analyze the monitoring data to obtain the number of lights managed by the signal concentrator.
[0052] S224 uses the communication link to send an on-duty verification command to each light.
[0053] S225, feedback information from the receiving post verification instruction.
[0054] S226, Based on feedback information, determine whether a lighting fixture has an abnormal working state.
[0055] S227, if there are no lights in abnormal working condition, then feedback is given that the network status is good, and return to the step of selecting an encoding ID, until all encoding IDs have been selected.
[0056] S228, if there is a lighting lamp with an abnormal working state, the information of the lighting lamp with the abnormal working state is fed back, and the process of selecting a code ID is repeated until all code IDs have been selected.
[0057] Understandably, the communication link between the signal concentrator and the host computer enables real-time transmission of monitoring data from the signal concentrator. Addressing between the signal concentrator and the host computer utilizes coded IDs. The signal concentrator typically acts as a data aggregation node for lighting fixtures, collecting and packaging data from multiple connected lighting fixtures that receive illuminance detection signals, and then uploading it to the host computer via a wireless / wired network.
[0058] The signal concentrator can provide real-time feedback on the number of online lights. By determining the number of lights, the signal concentrator can compare the number of lights managed in real time with the corresponding coded ID. When a light goes offline, it can be determined that the number of online lights is less than the original number of online lights.
[0059] The host computer can sequentially send duty verification commands to the lights managed by the signal concentrator via the communication link. The host computer can also receive feedback information from the duty verification commands transmitted by the signal concentrator. Based on the feedback information, it can determine whether any lights are in abnormal working condition. This enables the distributed intelligent lighting control system to initially identify damaged distributed intelligent lights.
[0060] In one embodiment of this application, S400 includes:
[0061] S411, receiving the real-time response dataset from the signal concentrator.
[0062] S412, Select the response data of a light in the real-time response dataset.
[0063] S413, parse the response data of the selected lighting fixture.
[0064] S414, obtain the enable detection value of the illuminance sensor from the response data.
[0065] S415, based on the enabled detection values of the illuminance sensor, establishes a illuminance-time curve in the lighting environment.
[0066] S416, return the response data of one light in the selected real-time response dataset, until the response data of all lights have been selected.
[0067] S417, Obtain at least one illuminance versus time curve in a lighting environment.
[0068] Specifically, each of the aforementioned illuminance-time curves corresponds to a lighting lamp.
[0069] Understandably, an illuminance-based human presence sensor is a sensor that detects ambient light levels in real time and identifies the presence of human beings in the surrounding area. In practical applications, the sensor is primarily deployed using lighting fixtures.
[0070] When the illuminance human presence sensor is powered on, it reads the value of an 8-bit DIP switch. The first 6 bits represent the physical address for communication, i.e., binary code, with the least significant bit first and the most significant bit last. The 7th bit is reserved, and the 8th bit represents the baud rate for CAN communication. The DIP switch is 0 when it's down and 1 when it's up (ON).
[0071] When shipped from the factory, the baud rate of the illuminance human presence sensor is set to 50kbps by default. Within the same project, physical addresses may be set to different values, which are then fused into a single encoded ID using a binary code. During actual engineering debugging, the encoded ID can be used to identify the physical address, improving debugging efficiency. Therefore, this sensor is designed with an addressing function. When an addressing command is sent, sensors with the same address as those in the command will illuminate, making it easy to determine the sensor's address.
[0072] Each illuminance human presence sensor can be associated with a maximum of 16 sets of loop information, with each set containing a maximum of 12 loops. Therefore, theoretically, one illuminance human presence sensor can be associated with a maximum of 16 x 12 = 192 loops. Of course, such extreme requirements are unlikely in practical applications; most applications involve area control, and the actual number of loops will usually not exceed 10. Therefore, the design includes ample margin. The associated loop information has a memory function and only needs to be configured once. The associated loop information needs to be configured according to the actual needs of the project site; the illuminance human presence sensor is not configured at the factory.
[0073] After the illuminance human presence sensor is configured with associated loop information, when the ambient illuminance is below the set lower limit and a human body is detected, the associated loop is activated, and the controlled object becomes active, such as a light turning on. If the duration exceeds the set delay time, the associated loop disconnects, and the controlled object becomes inactive, such as a light turning off. If a human body is detected again within the delay time, that time will be extended accordingly; that is, the delay time is the time elapsed since the last human body detection, after which the controlled object's status is changed.
[0074] The lighting features ambient light intensity measurement and human body sensing functions. The ambient light intensity measurement range is 0 to 65535 lx with a measurement accuracy of 5%. The human body sensing range is adjustable, and when the hanging height is 3m, the adjustable area is 1m to 5m.
[0075] When the illuminance value is below the lower limit of the set value and someone is detected, the associated circuit will be activated. After a delay exceeding the set value, the circuit will automatically disconnect. This enables the lights to turn on when someone enters the room and automatically turn off when the person leaves, even at night or in poorly lit areas.
[0076] Both ambient light intensity measurement and human body sensing functions can be enabled or disabled, and they have a memory function. When the ambient light intensity measurement function is disabled, the associated loops are only associated with the human body sensor. This function is convenient for engineers during daytime debugging. When the human body sensing function is disabled, it functions like a sensor. It can be used as a pure illuminance sensor, collecting the current ambient light intensity value in real time, sending the data at approximately 1-second intervals. It can also be associated with loops to control the loops based on the illuminance value, such as automatically adjusting brightness at night and automatically turning off lights during the day.
[0077] In one embodiment of this application, S400 further includes:
[0078] S421, Establish a comparison coordinate system.
[0079] Specifically, the horizontal axis of the comparison coordinate system represents time, and the vertical axis represents illuminance.
[0080] S422, select an illuminance versus time curve.
[0081] S423, plot the selected illuminance versus time curve on a contrast coordinate system.
[0082] S424, return to the previous step of selecting an illuminance and time curve, until all selected illuminance and time curves have been selected.
[0083] S425, obtain the mode matching curve in the comparison coordinate system.
[0084] Understandably, the illuminance sensors corresponding to the lighting fixtures collect the ambient illuminance in real time, forming illuminance-time parameter pairs. Using a comparative coordinate system with time on the horizontal axis and illuminance on the vertical axis, the illuminance-time parameter pairs collected by each sensor in real time can be fitted onto the comparative coordinate system, forming an illuminance-time curve for each sensor. Each sensor has an illuminance-time curve.
[0085] Based on the concentration of the illuminance versus time curves, a mode coincidence curve can be obtained, which represents the true illuminance situation in the environment. When the illuminance versus time curves are not close to the mode coincidence curve, it can be determined that the sensor corresponding to this set of illuminance versus time curves has a data accuracy problem when collecting illuminance data, and this set of illuminance versus time curves needs to be discarded.
[0086] Simply put, the mode coincidence curve is the closest illuminance-time curve among various sensors that accurately collect illuminance under the same environment.
[0087] S431, in one embodiment of this application, S400 further includes:
[0088] S432, the maximum difference coefficient of received illuminance.
[0089] S433 uses the maximum difference coefficient of illuminance and the mode matching curve to obtain the upper and lower thresholds of illuminance recording.
[0090] S434, find the illuminance versus time curves for records exceeding the upper and lower thresholds of illuminance.
[0091] S435, obtain the illuminance and time curve of the illuminance to be eliminated.
[0092] S436 provides feedback on the lighting fixtures to be removed based on their illuminance and time curves.
[0093] Understandably, in the process of eliminating illuminance-time curves that suffer from data inaccuracies due to sensor data acquisition, the maximum difference coefficient of the received illuminance is used, such as ±0.2.
[0094] Specifically, a time point is selected, and the illuminance of the mode coincidence curve at that time point is determined. The illuminance of the mode coincidence curve is multiplied by the illuminance maximum difference coefficient. That is, multiplying the illuminance of the mode coincidence curve at that time point by 1.2 yields the upper threshold of the maximum error illuminance, and multiplying the illuminance of the mode coincidence curve at that time point by 0.8 yields the lower threshold of the maximum error illuminance. Thus, the upper threshold and lower threshold of illuminance error are formed.
[0095] When a illuminance-time curve exists outside the upper or lower illuminance threshold for more than 60% of the time interval on the time axis of the comparison coordinate system, it can be determined that the sensor collecting the illuminance data has a data accuracy problem. This illuminance-time curve needs to be discarded, and the sensor itself needs to be inspected. Since the sensor mainly relies on lighting fixtures, the lighting fixtures corresponding to the illuminance-time curves to be discarded need to be inspected.
[0096] In one embodiment of this application, S500 includes:
[0097] S511 receives the illuminance of the smallest resolvable object and the illuminance that the human eye can receive.
[0098] S512, the final supplementary light coefficient between the illuminance of the object with the smallest resolution and the illuminance that the human eye can receive.
[0099] S513, calculate the difference between the maximum illuminance the eye can receive and the illuminance of the object with the minimum resolution.
[0100] S514, obtain the illuminance supplementation range.
[0101] S515 multiplies the final supplemental lighting coefficient by the illuminance supplementation range.
[0102] S516, to obtain the final fill light intensity.
[0103] S517 sums the illuminance of the smallest resolvable object with the final supplemental light intensity.
[0104] S518, to obtain the final illuminance.
[0105] Understandably, lighting is used to supplement illumination and create a soft lighting environment when ambient light intensity is insufficient. The minimum illuminance for resolving objects is the minimum illuminance at which object details can be clearly distinguished, while the maximum illuminance that the human eye can tolerate is the maximum illuminance at which prolonged work does not cause dry eyes, eye strain, or dizziness.
[0106] A soft lighting environment lies between the illuminance of the object with the lowest resolution and the illuminance that the human eye can tolerate. For your most important activity areas, such as your desk or reading corner, use a high-quality desk lamp with adjustable brightness and color temperature, allowing you to find the most comfortable spot within the range of 300 to 750 illuminance. 500 illuminance is the ultimate practical standard for ensuring visual health. Generally, the illuminance of the object with the lowest resolution is 300 illuminance, and the illuminance that the human eye can tolerate is 750 illuminance.
[0107] The final supplementary light coefficient can be set to 44%. The difference between the maximum illuminance that the eye can receive and the illuminance of the object with the minimum resolution is used to obtain the illuminance supplementation range, which is 450 illuminance. The final supplementary light coefficient is multiplied by the illuminance supplementation range to obtain the final supplementary light intensity, which is 200 illuminance. The illuminance of the object with the minimum resolution is summed with the final supplementary light intensity to obtain the final illuminance, which is 500 illuminance.
[0108] In one embodiment of this application, S500 further includes:
[0109] S521, call the mode matching curve.
[0110] S522, based on the system time of adjusting the lighting intensity of the lighting lamp, determine the illuminance of the mode matching curve corresponding to the system time.
[0111] S523, determine whether the illuminance corresponding to the system time is equal to or greater than the final illuminance.
[0112] S524, if the illuminance corresponding to the system time is equal to or greater than the final illuminance, then send the first instruction.
[0113] S525: If the illuminance corresponding to the system time is less than the final illuminance, then send the second instruction.
[0114] Understandably, each signal concentrator corresponds to a mode matching curve. Based on the system time for adjusting the lighting intensity, the illuminance at the corresponding time point can be found using the mode matching curve, thus determining the ambient illuminance of the environment where the signal concentrator is located. When the illuminance corresponding to the system time is equal to or greater than the final illuminance, the lights can be turned off. When the illuminance corresponding to the system time is less than the final illuminance, the lights are used for supplemental lighting.
[0115] In one embodiment of this application, S700 includes:
[0116] S710 invokes the instruction sent by the system timer to adjust the lighting intensity of the lights.
[0117] S720, if the system time command sent to adjust the lighting intensity of the lighting lamp is the first command, then the lighting lamp managed by the signal concentrator is turned off.
[0118] S730, if the system time command for adjusting the lighting intensity is the second command, then record the difference between the final illuminance and the illuminance corresponding to the system time.
[0119] S740 increases the light intensity of the lighting lamps managed by the signal concentrator by adding a supplementary light difference.
[0120] Specifically, each light provides supplemental lighting to a specific environmental area, and the supplemental lighting for each area does not interfere with each other. By using the illuminance corresponding to the mode coincidence curve at system time, the illuminance of the entire environment where the signal concentrator is located can be determined.
[0121] Simply put, if an outdoor street is located in a commercial area with strong ambient light, and the illuminance corresponding to the system time is equal to or greater than the final illuminance, the host computer can issue a command to turn off the street lights.
[0122] Another outdoor street is equipped with multiple streetlights, which are managed by a signal concentrator. The illuminance corresponding to the mode coincidence curve at system time represents the overall illuminance of this street environment. The illuminance at system time is less than the final illuminance. Since the area effectively illuminated by each streetlight is insufficient to cover the entire street, multiple streetlights need to be deployed synchronously to supplement the lighting.
[0123] During the synchronous supplemental lighting of multiple lights, the difference between the final illuminance and the illuminance corresponding to the system time is used to increase the illuminance of the lights managed by the signal concentrator to the supplemental light difference. By adjusting the lighting intensity based on the real-time ambient light intensity, the distributed intelligent lighting control system can accurately regulate the working state of the lights, reducing high-loss states and energy waste.
[0124] like Figure 2 As shown, the distributed lighting dimming system provided by the present invention includes:
[0125] The host computer 100 is used to execute the distributed lighting dimming method.
[0126] The signal concentrator 200 is communicatively connected to the host computer 100.
[0127] This embodiment relates to a distributed lighting dimming system. The host computer 100 can establish a communication link with each signal concentrator 200 that manages the lighting fixtures by receiving their network access requests. The distributed lighting dimming system can operate in various preset scenarios or modes, automatically switching between them according to preset times or trigger conditions. The signal concentrators in the communication link report various control logics and mapping relationships. When a module managed by a signal concentrator 200 fails, only the controlled object of that module is affected, without endangering the entire distributed lighting dimming system. The distributed lighting dimming system uses a soft-start method, which can suppress the inrush voltage and surge voltage of the power grid, thereby extending the service life of the lamps. By receiving the real-time response dataset from the signal concentrators 200, it can automatically identify online lighting fixtures, automatically detect lighting fixture faults, determine the working status and real-time ambient light intensity of each lighting fixture, and collect and upload the ambient light intensity value in real time. It features high accuracy, wide measurement range, and good stability, enabling lights to be turned off during the day and automatically turned on at night, thus saving energy.
[0128] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.
[0129] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims
1. A distributed lighting dimming method, characterized in that, include: Receive network access applications from each signal concentrator that manages the lighting fixtures; Based on the network access application, establish a communication link with each signal concentrator; Select a signal concentrator; Real-time response dataset received by the signal concentrator; Based on the parsed real-time response dataset, the working status and real-time ambient light intensity of each light are determined; the parsed real-time response dataset determines the working status and real-time ambient light intensity of each light, including the illuminance of the object with the smallest resolution and the illuminance that the human eye can receive. The final supplementary light coefficient between the illuminance of the smallest resolvable object and the illuminance that the human eye can accept; the difference between the illuminance that the human eye can accept and the illuminance of the smallest resolvable object; and the illuminance supplementary range are obtained. Multiply the final supplemental lighting coefficient by the illuminance supplementation range; Obtain the final fill light intensity; sum the illuminance of the smallest resolvable object with the final fill light intensity; To obtain the final illuminance; The working status of each light fixture is used to provide feedback on light fixture maintenance. Adjust the lighting intensity of the lights according to the real-time ambient light intensity. Return to the previous step and select a signal concentrator until all signal concentrators have been selected; Return to the network access application of each signal concentrator that manages the lighting lights, until a stop operation instruction is received.
2. The distributed lighting dimming method according to claim 1, characterized in that, The process of establishing a communication link with each signal concentrator based on the network access application includes: Select a network access application; Analyze the network access application; Obtain the coded ID of the signal concentrator that manages the lighting fixtures; Use the encoded ID to determine whether the signal concentrator corresponding to the encoded ID is the target signal concentrator for the network; If the signal concentrator corresponding to the encoded ID is not the target signal concentrator for the network, then a network failure message will be returned. If the signal concentrator corresponding to the encoded ID is the target signal concentrator of the network, then the communication link with the signal concentrator is established using the encoded ID; Return to the previous page and select a network access application until all network access applications have been selected.
3. The distributed lighting dimming method according to claim 2, characterized in that, The process of establishing a communication link with each signal concentrator based on the network access application also includes: Select an ID encoding; Receive monitoring data from the signal concentrator corresponding to the encoded ID; Analyze the monitoring data to obtain the number of lights managed by the signal concentrator; Using the communication link, an on-duty verification command is sent to each light fixture; Receive feedback information from on-duty verification instructions; Based on the feedback information, determine whether the lighting fixtures are in an abnormal working state; If there are no lights in abnormal working condition, feedback is given that the network status is good, and the process of selecting an encoding ID is repeated until all encoding IDs have been selected. If a light fixture is found to be in an abnormal working state, information about the abnormal working state of the light fixture will be provided, and the process of selecting a code ID will continue until all code IDs have been selected.
4. The distributed lighting dimming method according to claim 3, characterized in that, The real-time response dataset of the receiving signal concentrator includes: Real-time response dataset received by the signal concentrator; Select the response data of one light in the real-time response dataset; Analyze the response data of the selected lighting fixtures; Obtain the enabled detection value of the illuminance sensor from the response data; Based on the enabled detection values of the illuminance sensor, establish the illuminance versus time curve in the lighting environment; Return to the response data of one light in the selected real-time response dataset, until the response data of all lights have been selected; Obtain illuminance versus time curves in at least one lighting environment; each illuminance versus time curve corresponds to one lighting lamp.
5. The distributed lighting dimming method according to claim 4, characterized in that, The real-time response dataset of the receiving signal concentrator also includes: Establish a comparison coordinate system; the horizontal axis of the comparison coordinate system is time, and the vertical axis is illuminance; Select an illuminance versus time curve; Plot the selected illuminance versus time curve on a contrast coordinate system; Return to the previous step of selecting an illuminance and time curve, until all selected illuminance and time curves have been selected; Obtain the mode matching curve in the comparison coordinate system.
6. The distributed lighting dimming method according to claim 5, characterized in that, The real-time response dataset of the receiving signal concentrator also includes: Maximum difference coefficient of received illuminance; The upper and lower thresholds for illuminance recordings are obtained using the maximum difference coefficient of illuminance and the mode matching curve. Find the illuminance versus time curves for records exceeding the upper and lower thresholds; Obtain the illuminance versus time curve of the objects to be removed; Feedback on the illuminance and time curves of the lights to be removed.
7. The distributed lighting dimming method according to claim 6, characterized in that, The parsing-based real-time response dataset, which determines the operating status and real-time ambient light intensity of each light fixture, also includes: Call the mode matching curve; Based on the system time for adjusting the lighting intensity of the lamps, determine the illuminance of the mode matching curve corresponding to the system time; Determine whether the illuminance corresponding to the system time is equal to or greater than the final illuminance; If the illuminance corresponding to the system time is equal to or greater than the final illuminance, then send the first instruction; If the illuminance corresponding to the system time is less than the final illuminance, then send the second instruction.
8. The distributed lighting dimming method according to claim 7, characterized in that, The step of adjusting the lighting intensity based on the real-time ambient light intensity includes: The system timer sends the command to adjust the lighting intensity of the lights; If the system time command sent to adjust the lighting intensity is the first command, then the lighting managed by the signal concentrator will be turned off; If the system time command for adjusting the lighting intensity is the second command, then record the difference between the final illuminance and the illuminance corresponding to the system time. Increase the light intensity of the lights managed by the signal concentrator to the level of the supplementary lighting difference.
9. A distributed lighting dimming system, characterized in that, include: The host computer is used to execute the distributed lighting dimming method as described in any one of claims 1 to 8; The signal concentrator is connected to the host computer for communication.