Dimming control algorithm for indoor constant illumination acquisition

Abstract

The invention belongs to the technical field of light control, and particularly relates to a dimming control algorithm for indoor constant illumination acquisition, which comprises regional thermal monitoring analysis, indoor and outdoor illumination monitoring, dynamic dimming compensation strategy generation, dimming strategy execution and dimming smoothness analysis. According to the invention, the illumination dynamic compensation decision unit determines the target illumination standard value of the corresponding indoor area based on the current natural light incident intensity of the corresponding indoor area and the thermal marking information, generates the corresponding dynamic dimming compensation strategy, and adjusts the illumination lamps of each indoor area. Efficient, comfortable and energy-saving indoor constant illumination control is achieved, the indoor illumination energy consumption is reduced, meanwhile, the illumination effect of all indoor areas is guaranteed, the dimming smoothness of the corresponding dimming process is judged through the dimming curve, corresponding treatment measures can be taken in time, the situation that indoor personnel feel uncomfortable due to insufficient dimming smoothness is avoided, and the indoor illumination effect is improved. And the intelligent level and the automation level are high.

Description

Technical Field

[0001] The present invention relates to the technical field of lighting management and control, and in particular to a dimming control algorithm for indoor constant illumination acquisition. Background Art

[0002] Indoor lighting refers to the design of the light environment within a building's interior space through the use of artificial light sources to meet visual functional requirements and create a spatial atmosphere. Indoor lighting is one of the core elements of architectural space design, and functionality, comfort, energy efficiency, and artistry must be comprehensively considered. With the development of technology, intelligent control of indoor lighting has become a mainstream trend. Currently, traditional dimming methods in indoor lighting systems are typically based on preset schedules or manual intervention, making it difficult to respond to ambient light changes in real time. This results in large fluctuations in indoor illumination, high energy consumption, and a poor user experience. Furthermore, it is impossible to rationally analyze the smoothness of the dimming process and accurately determine the need for dimming optimization, which is not conducive to ensuring dimming effects and has a low level of intelligence and automation. In view of the above technical defects, a solution is now proposed. Summary of the Invention

[0003] The purpose of the present invention is to provide a dimming control algorithm for indoor constant illuminance acquisition, which solves the problems that the existing technology is difficult to respond to ambient light changes in real time, resulting in large fluctuations in indoor illuminance, high energy consumption and poor user experience, as well as the inability to reasonably analyze the smoothness of the dimming process and accurately judge the necessity of dimming optimization, which is not conducive to ensuring the dimming effect and has low intelligence and automation levels.

[0004] To achieve the above object, the present invention provides the following technical solutions: A dimming control algorithm for indoor constant illumination acquisition includes the following steps: Step 1: The regional activity collection and analysis unit uses millimeter-wave radar or infrared array sensors to monitor the distribution and movement of people in various indoor areas. It determines the indoor active and inactive areas through regional thermal monitoring and analysis, and sends the thermal tag information of the corresponding indoor areas to the illumination dynamic compensation decision unit and the indoor dimming supervision end; Step 2: The environmental sensor network unit monitors indoor and outdoor lighting based on a high-precision light intensity sensor, and sends the collected monitoring data to the illumination dynamic compensation decision unit; Step 3: The illumination dynamic compensation decision unit determines the target illumination standard value of the corresponding indoor area based on the current natural light incident intensity of the corresponding indoor area and the thermal marker information, and compares the target illumination standard value of the corresponding indoor area with the current actual illumination detection value, thereby generating a corresponding dynamic dimming compensation strategy, and sending the dynamic dimming compensation strategy to the dimming control execution unit and the indoor dimming supervision end; Step 4: The dimming control execution unit adjusts the lighting fixtures in each area of ​​the room based on the dynamic dimming compensation strategy, and sends the adjustment information to the indoor dimming monitoring terminal; Step 5. The dimming curve collection and tracking unit collects the dimming curve of the corresponding indoor area during the dimming process, determines the dimming smoothness of the corresponding dimming process based on the dimming curve, and marks the corresponding dimming process as a high-smoothness dimming process or a low-smoothness dimming process accordingly, and sends the marking information of the corresponding dimming process to the indoor dimming monitoring end.

[0005] Furthermore, the specific analysis process of regional thermal monitoring analysis is as follows: The real-time number of people in the corresponding indoor area is obtained and marked as the real-time thermal value. The regional thermal monitoring coefficient of the corresponding indoor area is obtained through analysis, and the regional thermal monitoring coefficient is numerically compared with the preset regional thermal monitoring coefficient threshold. If the regional thermal monitoring coefficient exceeds the preset regional thermal monitoring coefficient threshold, the corresponding indoor area is marked as an activity area; if the regional thermal monitoring coefficient does not exceed the preset regional thermal monitoring coefficient threshold, the corresponding indoor area is marked as an activity area.

[0006] Furthermore, the analysis and acquisition method of the regional thermal monitoring coefficient is as follows: A rectangular coordinate system is established with time as the X-axis and the real-time thermal value as the Y-axis, and a thermal curve of the corresponding indoor area per unit time is depicted in the first quadrant of the rectangular coordinate system; a thermal judgment ray is drawn in the rectangular coordinate system that is parallel to the X-axis and whose endpoint is on the Y-axis, and the portion of the thermal curve above the thermal judgment ray and the closed area enclosed by the thermal judgment ray are obtained, the area of ​​the corresponding closed area is marked as a closed surface condition value, the closed surface condition value is numerically compared with a preset closed surface condition threshold, and if the closed surface condition value exceeds the preset closed surface condition threshold, the corresponding closed area is marked as a feature area; The number of characteristic areas is obtained and marked as characteristic detection values, and the closed surface condition value with the largest value is marked as the closed surface amplitude. The average of all thermal real-time values ​​of the corresponding indoor area within unit time is calculated to obtain the thermal evaluation value. The regional thermal monitoring coefficient is obtained by weighted summation of the characteristic detection value, closed surface amplitude and thermal evaluation value.

[0007] Furthermore, the specific analysis process of the dimming curve acquisition and tracking unit is as follows: Obtain a dimming curve for the corresponding dimming process, obtain a dimming smoothing coefficient for the corresponding dimming process based on the dimming curve and through analysis, obtain an indoor area corresponding to the corresponding dimming process, and if the corresponding indoor area is an active area, assign a preset dimming smoothing coefficient threshold value ZP1 to it; if the corresponding indoor area is an inactive area, assign a preset dimming smoothing coefficient threshold value ZP2 to it, and ZP2>ZP1>0; The dimming smoothing coefficient is numerically compared with the preset dimming smoothing coefficient threshold. If the dimming smoothing coefficient exceeds the preset dimming smoothing coefficient threshold, the corresponding dimming process is marked as a dimming low smoothing process; if the dimming smoothing coefficient does not exceed the preset dimming smoothing coefficient threshold, the corresponding dimming process is marked as a dimming high smoothing process.

[0008] Furthermore, the analysis and acquisition method of the dimming smoothing coefficient is as follows: A number of detection points are set on the dimming curve, and the time intervals between two adjacent detection points are the same; two adjacent groups of detection points are connected by line segments, and the corresponding line segments are marked as light-changing line segments; the acute angle formed by the corresponding light-changing line segment and the horizontal line is collected and marked as the light-changing slope, and the light-changing slope is numerically compared with a preset appropriate light-changing slope range. If the light-changing slope is not within the corresponding preset appropriate light-changing slope range, the corresponding light-changing line segment is marked as a variant line segment; The number of variation segments is obtained and the ratio thereof to the total number of light variation segments is calculated to obtain the variation share value, and the corresponding light variation slope is subtracted from the median of the preset appropriate light variation slope range and the absolute value is taken to obtain the light variation deviation amplitude, the average of all light variation deviation amplitudes is calculated to obtain the light variation bias value, and the light variation deviation amplitude with the largest value is marked as the light variation bias top value; the dimming smoothing coefficient is calculated by taking the weighted sum of the variation share value, the light variation bias value and the light variation bias top value.

[0009] Furthermore, the dimming curve collection and tracking unit is communicatively connected to the dimming optimization analysis unit. The dimming optimization analysis unit is used to set the optimization period, analyze the indoor dimming control status during the optimization period, generate a dimming optimization alarm signal or a dimming optimization qualified signal through analysis, and send the dimming optimization alarm signal or the dimming optimization qualified signal to the indoor dimming supervision end.

[0010] Furthermore, the specific analysis process of the dimming optimization analysis unit is as follows: Obtain the marking information of all dimming processes during the optimization period, calculate the ratio of the number of dimming low-smoothness processes corresponding to the corresponding indoor area to the total number of dimming processes in the indoor area to obtain a low-smoothness detection value, and compare the low-smoothness detection value with the preset low-smoothness detection threshold. If the low-smoothness detection value exceeds the preset low-smoothness detection threshold, the corresponding indoor area is marked as a dimming-unsuitable area; if there is a dimming-unsuitable area indoors during the optimization period, a dimming optimization alarm signal is generated.

[0011] Furthermore, if there is no dimming-unsuitable area indoors during the optimization period, the low-smoothed detection values ​​of all indoor areas are averaged to obtain the dimming optimization emergency value, and the dimming optimization emergency value is numerically compared with the preset dimming optimization emergency threshold. If the dimming optimization emergency value exceeds the preset dimming optimization emergency threshold, a dimming optimization alarm signal is generated; if the dimming optimization emergency value does not exceed the preset dimming optimization emergency threshold, a dimming optimization qualified signal is generated.

[0012] Furthermore, the indoor dimming supervision end is communicated with the lamp-by-lamp evaluation unit, and the lamp-by-lamp evaluation unit obtains the lamps in all indoor areas and marks the corresponding lamps as k, where k is a natural number greater than 1; by analyzing the operating performance of lamp k during the optimization period, lamp k is marked as a qualified lamp or an optimizable lamp, and the marking information of lamp k is sent to the indoor dimming supervision end.

[0013] Furthermore, the specific analysis process of evaluating each lamp unit is as follows: During the lighting process of lamp k, the actual energy consumption of lamp k per unit time is collected, and the actual energy consumption is compared with the corresponding preset energy consumption standard value. If the actual energy consumption exceeds the corresponding preset energy consumption standard value, the energy consumption evaluation symbol QP-1 is assigned to lamp k; the number of times lamp k is assigned the energy consumption evaluation symbol QP-1 during the optimization period is obtained and the ratio is calculated with the total lighting time of lamp k during the optimization period to obtain the lamp energy-saving abnormality value, and the lamp energy-saving abnormality value is compared with the preset lamp energy-saving abnormality threshold. If the lamp energy-saving abnormality value exceeds the preset lamp energy-saving abnormality threshold, lamp k is marked as an optimizable lamp; If the lamp energy-saving abnormality value does not exceed the preset lamp energy-saving abnormality threshold, the real-time brightness of lamp k is collected and the difference between it and the current corresponding standard brightness is calculated to obtain the lighting deviation value, the proportion of the lighting deviation values ​​corresponding to lamp k that exceed the preset lighting deviation threshold during the optimization period is obtained and marked as the lighting non-optimal value, and the average of all lighting deviation values ​​of lamp k during the optimization period is calculated to obtain the lighting detection value, the lamp operation value is obtained by weighted summing the lamp energy-saving abnormality value, the lighting non-optimal value and the lighting detection value, the lamp operation value is numerically compared with the preset lamp operation threshold, if the lamp operation value exceeds the preset lamp operation threshold, lamp k is marked as an optimizable lamp; if the lamp operation value does not exceed the preset lamp operation threshold, lamp k is marked as a qualified lamp.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, the dynamic illumination compensation decision unit determines the target illumination standard value of the corresponding indoor area based on the current natural light incident intensity and thermal marker information of the corresponding indoor area, generates a corresponding dynamic dimming compensation strategy, and adjusts the lighting fixtures in each indoor area, thereby reducing indoor lighting energy consumption while ensuring the lighting effect of each indoor area. The dimming curve is used to determine the dimming smoothness of the corresponding dimming process, which is conducive to timely taking corresponding treatment measures to avoid discomfort caused to indoor occupants due to insufficient dimming smoothness. 2. In the present invention, the dimming control status of the room during the optimization period is analyzed by the dimming optimization analysis unit, and when the dimming optimization alarm signal is generated, the cause is investigated and analyzed and corresponding improvement and optimization measures are taken to ensure the subsequent dimming effect and reduce the discomfort caused to indoor personnel. In addition, the operating performance of lamps in all areas of the room during the optimization period is analyzed one by one to identify the lamps that can be optimized, so that the corresponding lamps can be inspected, repaired or replaced in time to ensure the lighting effect and energy-saving effect of the indoor lamps, and significantly reduce the difficulty of users in monitoring and managing indoor lamps. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings; Figure 1 This is a flow chart of the method of embodiment 1 of the present invention; Figure 2 This is a system block diagram of Embodiment 1 of the present invention; Figure 3 This is a system block diagram of Embodiment 2 and Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0017] Example 1: Figure 1-2 As shown, the present invention proposes a dimming control algorithm for indoor constant illumination acquisition, comprising the following steps: Step 1: The regional activity collection and analysis unit uses millimeter-wave radar or infrared array sensors to monitor the distribution and movement of people in various indoor areas. It also combines camera image recognition to filter out false detections (such as pets and curtains shaking). Through regional thermal monitoring analysis, it determines the indoor activity areas (mainly office desks, reading areas, etc.) and inactivity areas (mainly corridors, storage rooms, etc.). The thermal tag information of the corresponding indoor areas is sent to the illumination dynamic compensation decision unit and the indoor dimming supervision end to provide information support for the analysis process of the illumination dynamic compensation unit and ensure the accuracy of its analysis results. The specific analysis process of regional thermal monitoring analysis is as follows: The real-time number of people in the corresponding indoor area is obtained and marked as the real-time thermal value. A rectangular coordinate system is established with time as the X-axis and the real-time thermal value as the Y-axis. The thermal curve of the corresponding indoor area per unit time is drawn in the first quadrant of the rectangular coordinate system. and, in a rectangular coordinate system, draw a thermal judgment ray parallel to the X-axis and with its endpoint on the Y-axis, wherein the Y-axis coordinate value corresponding to the thermal judgment ray represents a preset thermal real-time judgment threshold; obtain the portion of the thermal curve above the thermal judgment ray and the closed area enclosed by the thermal judgment ray, and mark the area of ​​the corresponding closed area as the closed surface value; The closed surface condition value is compared with the preset closed surface condition threshold. If the closed surface condition value exceeds the preset closed surface condition threshold, the corresponding closed area is marked as a feature area; the number of feature areas is obtained and marked as the feature detection value, and the closed surface condition value with the largest value is marked as the closed surface amplitude, and all the real-time thermal values ​​of the corresponding indoor area in unit time are averaged to obtain the thermal assessment value; The regional thermal monitoring coefficient is calculated by weighted summing the characteristic detection value, the enclosed surface amplitude, and the thermal assessment value; that is, the characteristic detection value, the enclosed surface amplitude, and the thermal assessment value are respectively assigned corresponding preset weight coefficients, and the characteristic detection value, the enclosed surface amplitude, and the thermal assessment value are respectively multiplied by the corresponding preset weight coefficients, and the sum of the three sets of product results is marked as the regional thermal monitoring coefficient; and the smaller the value of the regional thermal monitoring coefficient, the smaller the lighting demand of the corresponding area; The regional thermal monitoring coefficient is numerically compared with the preset regional thermal monitoring coefficient threshold. If the regional thermal monitoring coefficient exceeds the preset regional thermal monitoring coefficient threshold, it indicates that the corresponding area has a large lighting demand and needs to maintain a high regional lighting intensity. The corresponding indoor area is marked as an activity area; if the regional thermal monitoring coefficient does not exceed the preset regional thermal monitoring coefficient threshold, it indicates that the corresponding area has a small lighting demand and can appropriately reduce its regional lighting intensity. The corresponding indoor area is marked as an activity area.

[0018] Step 2: The environmental sensor network unit monitors indoor and outdoor lighting based on high-precision light intensity sensors (such as TSL2591), covering different directions and heights, and collects ambient light intensity data in real time. The collected monitoring data is sent to the illumination dynamic compensation decision unit to provide data support for the decision-making process of the illumination dynamic compensation decision unit, ensuring the accuracy of the dimming compensation strategy it generates.

[0019] Step 3: The illumination dynamic compensation decision unit determines the target illumination standard value for the corresponding indoor area, i.e., the current optimal illumination intensity for the corresponding indoor area, based on the current natural light intensity of the corresponding indoor area (analyzed and output by the natural light utilization model based on the window area, orientation, light transmittance, current time, external illumination data, etc. of the corresponding area) and the thermal marker information; The target lighting standard value of the corresponding indoor area is compared with the current actual lighting detection value. If the deviation of the target lighting standard value compared to the current actual lighting detection value is small, no adjustment is required. If the deviation of the target lighting standard value compared to the current actual lighting detection value is large, a corresponding dynamic dimming compensation strategy is generated to perform adaptive dimming of the corresponding area, and the dynamic dimming compensation strategy is sent to the dimming control execution unit and the indoor dimming supervision end.

[0020] Step 4: The dimming control execution unit adjusts the lighting fixtures in various indoor areas based on the dynamic dimming compensation strategy, and sends the adjustment information to the indoor dimming supervision end. It can perceive the changes in ambient light in real time and dynamically optimize the dimming strategy to achieve efficient, comfortable and energy-saving indoor constant illumination control, reduce indoor lighting energy consumption while ensuring the lighting effects of various indoor areas, and has a high level of automation.

[0021] Step 5: The dimming curve collection and tracking unit collects the dimming curve during the dimming process of the corresponding indoor area, determines the dimming smoothness of the corresponding dimming process based on the dimming curve, and marks the corresponding dimming process as a high-smoothness dimming process or a low-smoothness dimming process accordingly. The marking information of the corresponding dimming process is sent to the indoor dimming monitoring terminal, so that the user can understand the dimming smoothness performance of each dimming process in detail, which is conducive to taking corresponding measures in time to avoid discomfort caused to indoor occupants due to insufficient dimming smoothness. The specific analysis process of the dimming curve collection and tracking unit is as follows: A dimming curve of the corresponding dimming process is obtained, and several detection points are set on the dimming curve, with the time interval between two adjacent detection points being the same; two adjacent groups of detection points are connected by a line segment, and the corresponding line segment is marked as a light-changing line segment; the acute angle formed between the corresponding light-changing line segment and the horizontal line is collected and marked as the light-changing slope, and the light-changing slope is numerically compared with a preset appropriate light-changing slope range. If the light-changing slope is not within the corresponding preset appropriate light-changing slope range, the corresponding light-changing line segment is marked as a variant line segment; The number of mutated segments is obtained and its ratio with the total number of light-variable segments is calculated to obtain the variation measurement value. The corresponding light-variable slope is subtracted from the median of the preset appropriate light-variable slope range and the absolute value is taken to obtain the light-variable deviation amplitude. The average of all light-variable deviation amplitudes is calculated to obtain the light-variable deviation value, and the light-variable deviation amplitude with the largest value is marked as the light-variable deviation peak value. The dimming smoothing coefficient is calculated by weighted summing the variation accounted value, the light variation deviation value, and the light variation deviation top value. That is, the variation accounted value, the light variation deviation value, and the light variation deviation top value are respectively assigned corresponding preset weight coefficients, and the variation accounted value, the light variation deviation value, and the light variation deviation top value are respectively multiplied by the corresponding preset weight coefficients, and the sum of the three sets of product results is marked as the dimming smoothing coefficient. Moreover, the larger the value of the dimming smoothing coefficient, the worse the smoothness of the corresponding dimming process. The indoor area corresponding to the corresponding dimming process is obtained. If the corresponding indoor area is an active area, a preset dimming smoothing coefficient threshold value ZP1 is assigned to it. If the corresponding indoor area is an inactive area, a preset dimming smoothing coefficient threshold value ZP2 is assigned to it, and ZP2>ZP1>0. By assigning the corresponding preset dimming smoothing coefficient threshold value based on the thermal tag information of the corresponding area, it is helpful to ensure the accuracy of the dimming smoothness analysis results; The dimming smoothing coefficient is numerically compared with the preset dimming smoothing coefficient threshold. If the dimming smoothing coefficient exceeds the preset dimming smoothing coefficient threshold, it indicates that the smoothness of the corresponding dimming process is poor, and the corresponding dimming process is likely to cause discomfort to people in the area, and the corresponding dimming process is marked as a low-smooth dimming process; if the dimming smoothing coefficient does not exceed the preset dimming smoothing coefficient threshold, it indicates that the smoothness of the corresponding dimming process is good, which is conducive to ensuring the comfort of people in the corresponding area, and the corresponding dimming process is marked as a high-smooth dimming process.

[0022] Example 2: Figure 3 As shown, the difference between this embodiment and the first embodiment is that the dimming curve collection and tracking unit is communicatively connected to the dimming optimization analysis unit, and the dimming optimization analysis unit is used to set an optimization period, preferably, the optimization period is seven days; analyze the indoor dimming control status during the optimization period, and generate a dimming optimization alarm signal or a dimming optimization qualified signal through the analysis; The dimming optimization alarm signal or dimming optimization qualified signal is sent to the indoor dimming supervision terminal. When the indoor dimming supervision terminal receives the dimming optimization alarm signal, it issues a corresponding warning to remind the user to investigate and analyze the cause and take corresponding improvement and optimization measures to ensure the subsequent dimming effect and reduce the discomfort caused to indoor occupants. The specific analysis process of the dimming optimization analysis unit is as follows: The marking information of all dimming processes during the optimization period is obtained, and the ratio of the number of dimming low-smoothness processes corresponding to the corresponding indoor area to the total number of dimming processes in the indoor area is calculated to obtain a low-smoothness detection value. The low-smoothness detection value is numerically compared with a preset low-smoothness detection threshold. If the low-smoothness detection value exceeds the preset low-smoothness detection threshold, it indicates that the dimming smoothness control condition for the corresponding indoor area during the optimization period is poor, and the corresponding indoor area is marked as a dimming unsuitable area; if there is a dimming unsuitable area indoors during the optimization period, a dimming optimization alarm signal is generated.

[0023] Furthermore, if there is no dimming-unsuitable area indoors during the optimization period, the low smoothness detection values ​​of all indoor areas are averaged to obtain the dimming optimization emergency value, and the dimming optimization emergency value is numerically compared with the preset dimming optimization emergency threshold. If the dimming optimization emergency value exceeds the preset dimming optimization emergency threshold, it indicates that the smoothness control condition of the indoor dimming during the optimization period is generally not good, and a dimming optimization alarm signal is generated; if the dimming optimization emergency value does not exceed the preset dimming optimization emergency threshold, it indicates that the smoothness control condition of the indoor dimming during the optimization period is generally good, which is conducive to reducing the discomfort caused to indoor personnel during dimming, and a dimming optimization qualified signal is generated.

[0024] Example 3: Figure 3 As shown, the difference between this embodiment and the first and second embodiments is that the indoor dimming monitoring terminal is connected to the lamp-by-lamp evaluation unit in communication, and the lamp-by-lamp evaluation unit obtains the lamps in all indoor areas and marks the corresponding lamps as k, where k is a natural number greater than 1; By analyzing the operating performance of lamp k during the optimization period, lamp k is marked as a qualified lamp or an optimizable lamp based on the performance, and the marking information of lamp k is sent to the indoor dimming monitoring terminal. When the user receives the optimizable lamp, he or she can inspect, repair or replace the corresponding lamp to ensure the lighting effect and energy saving effect of the indoor lamp. This significantly reduces the difficulty of monitoring and managing indoor lamps for users, and has a high level of intelligence. The specific analysis process of the lamp-by-lamp evaluation unit is as follows: During the lighting process of lamp k, the actual energy consumption of lamp k per unit time is collected and compared with the corresponding preset energy consumption standard value. If the actual energy consumption exceeds the corresponding preset energy consumption standard value, it indicates that the energy consumption performance of lamp k per unit time is poor, and the energy consumption evaluation symbol QP-1 is assigned to lamp k; Obtain the number of times that lamp k is assigned the energy consumption evaluation symbol QP-1 during the optimization period and calculate the ratio of this to the total lighting time of lamp k during the optimization period to obtain the lamp energy saving abnormality value. Compare the lamp energy saving abnormality value with the preset lamp energy saving abnormality threshold. If the lamp energy saving abnormality value exceeds the preset lamp energy saving abnormality threshold, it indicates that the energy saving performance of lamp k during the optimization period is abnormal and requires timely inspection, maintenance or replacement. In this case, lamp k is marked as an optimizable lamp. If the lamp energy-saving abnormality value does not exceed the preset lamp energy-saving abnormality threshold, the real-time brightness of lamp k is collected and the difference between it and the current corresponding standard brightness is calculated to obtain the lighting deviation value. The proportion of the lighting deviation values ​​corresponding to lamp k that exceed the preset lighting deviation threshold during the optimization period is obtained and marked as a non-optimal lighting value. The average of all lighting deviation values ​​of lamp k during the optimization period is calculated to obtain the lighting detection value. The lamp operation value is obtained by performing a weighted sum calculation on the lamp energy-saving abnormal value, the lighting non-optimal value, and the lighting test value. That is, the lamp energy-saving abnormal value, the lighting non-optimal value, and the lighting test value are respectively assigned corresponding preset weight coefficients, and the lamp energy-saving abnormal value, the lighting non-optimal value, and the lighting test value are respectively multiplied by the corresponding preset weight coefficients, and the sum of the three sets of product results is marked as the lamp operation value; and the larger the value of the lamp operation value, the worse the overall operating condition of lamp k during the optimization period; The lamp operation test value is numerically compared with the preset lamp operation test threshold. If the lamp operation test value exceeds the preset lamp operation test threshold, it indicates that the overall operating condition of lamp k during the optimization period is poor and needs to be inspected, repaired or replaced in time, then lamp k is marked as an optimizable lamp; if the lamp operation test value does not exceed the preset lamp operation test threshold, it indicates that the overall operating condition of lamp k during the optimization period is good, then lamp k is marked as a qualified lamp.

[0025] The working principle of the present invention is as follows: when in use, the distribution and movement trajectory of personnel in various indoor areas are monitored through the regional activity collection and analysis unit, and the active area and inactive area of ​​the room are determined based on the regional thermal monitoring analysis. The environmental sensor network unit monitors the light indoors and outdoors, and the illumination dynamic compensation decision unit determines the target illumination standard value of the corresponding indoor area based on the current natural light incident intensity and thermal marking information of the corresponding indoor area, generates the corresponding dynamic dimming compensation strategy, and adjusts the lighting fixtures in various indoor areas through the dimming control execution unit. It can perceive the changes in ambient light in real time and dynamically optimize the dimming strategy to achieve efficient, comfortable and energy-saving indoor constant illumination control, reduce indoor lighting energy consumption while ensuring the lighting effect of various indoor areas, and collect the dimming curve of the corresponding indoor area during the dimming process through the dimming curve collection and tracking unit. The dimming smoothness of the corresponding dimming process is judged based on the dimming curve, which is conducive to timely making corresponding treatment measures to avoid discomfort to indoor personnel due to insufficient dimming smoothness. The level of intelligence and automation is high.

[0026] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A dimming control algorithm for indoor constant illumination acquisition, characterized in that: The following steps are involved: Step 1: The regional activity collection and analysis unit monitors the distribution and movement trajectories of people in various indoor areas, and determines the indoor active and inactive areas through regional thermal monitoring and analysis; Step 2: The environmental sensor network unit monitors indoor and outdoor lighting; Step 3: The illumination dynamic compensation decision unit compares the target illumination standard value of the corresponding indoor area with the current actual illumination detection value, and generates a corresponding dynamic dimming compensation strategy accordingly; Step 4: The dimming control execution unit adjusts the lighting fixtures in various areas of the room based on the dynamic dimming compensation strategy; Step 5: The dimming curve collection and tracking unit determines the dimming smoothness of the corresponding dimming process based on the dimming curve, and accordingly marks the corresponding dimming process as a high-smoothness dimming process or a low-smoothness dimming process, and sends the marking information of the corresponding dimming process to the indoor dimming monitoring end.

2. A dimming control algorithm for indoor constant illumination acquisition according to claim 1, characterized in that: The specific analysis process of regional thermal monitoring analysis is as follows: The real-time number of people in the corresponding indoor area is obtained and marked as the real-time thermal value. The regional thermal monitoring coefficient of the corresponding indoor area is obtained through analysis. If the regional thermal monitoring coefficient exceeds the preset regional thermal monitoring coefficient threshold, the corresponding indoor area is marked as an activity area. Otherwise, the corresponding indoor area is marked as an activity area.

3. A dimming control algorithm for indoor constant illumination acquisition according to claim 2, characterized in that: The specific method for analyzing and obtaining the regional thermal monitoring coefficient is as follows: obtaining the number of characteristic areas and marking them as characteristic detection values, marking the closed surface condition value with the largest value as the closed surface amplitude, and calculating the average of all thermal real-time values ​​of the corresponding indoor area within unit time to obtain the thermal evaluation value, and obtaining the regional thermal monitoring coefficient by weighted summation of the characteristic detection value, closed surface amplitude and thermal evaluation value.

4. The dimming control algorithm for indoor constant illumination acquisition according to claim 1, characterized in that: The specific analysis process of the dimming curve acquisition and tracking unit is as follows: obtaining the dimming curve of the corresponding dimming process, and obtaining the dimming smoothing coefficient of the corresponding dimming process based on the dimming curve and through analysis. If the dimming smoothing coefficient exceeds the corresponding preset dimming smoothing coefficient threshold, the corresponding dimming process is marked as a low dimming smoothing process; otherwise, the corresponding dimming process is marked as a high dimming smoothing process.

5. A dimming control algorithm for indoor constant illumination acquisition according to claim 4, characterized in that: The analysis and acquisition method of the dimming smoothing coefficient is as follows: A number of detection points are set on the dimming curve, and two adjacent groups of detection points are connected by line segments, and the corresponding line segments are marked as light-variable line segments; the acute angle formed by the corresponding light-variable line segment and the horizontal line is collected and marked as the light-variable slope. If the light-variable slope is not within the corresponding preset appropriate light-variable slope range, the corresponding light-variable line segment is marked as a variant line segment; the number of variant line segments is obtained and the ratio is calculated with the total number of light-variable line segments to obtain the variant measurement value, and the dimming smoothing coefficient is calculated by taking the weighted sum of the variant measurement value, the light-variable deviation value and the light-variable top deviation value.

6. A dimming control algorithm for indoor constant illumination acquisition according to claim 4, characterized in that: The dimming curve collection and tracking unit is communicatively connected to the dimming optimization analysis unit. The dimming optimization analysis unit is used to set the optimization period, analyze the indoor dimming control status during the optimization period, and send the dimming optimization alarm signal or the dimming optimization qualified signal to the indoor dimming supervision end.

7. A dimming control algorithm for indoor constant illumination acquisition according to claim 6, characterized in that: The specific analysis process of the dimming optimization analysis unit is as follows: obtaining the marking information of all dimming processes during the optimization period, calculating the ratio of the number of dimming low-smoothness processes corresponding to the corresponding indoor area to the total number of dimming processes in the indoor area to obtain a low-smoothness detection value; if the low-smoothness detection value exceeds the preset low-smoothness detection threshold, the corresponding indoor area is marked as a dimming-unsuitable area; if there is a dimming-unsuitable area indoors during the optimization period, a dimming optimization alarm signal is generated.

8. The dimming control algorithm for indoor constant illumination acquisition according to claim 7, characterized in that: If there is no dimming-unsuitable area indoors during the optimization period, the low-smoothed detection values ​​of all indoor areas are averaged to obtain the dimming optimization emergency value. If the dimming optimization emergency value exceeds the preset dimming optimization emergency threshold, a dimming optimization alarm signal is generated; otherwise, a dimming optimization qualified signal is generated.

9. A dimming control algorithm for indoor constant illumination acquisition according to claim 8, characterized in that: The indoor dimming monitoring terminal communicates with the lamp-by-lamp evaluation unit, which obtains the lamps in all indoor areas and marks the corresponding lamps as k, where k is a natural number greater than 1; By analyzing the operating performance of lamp k during the optimization period, lamp k is marked as a qualified lamp or an optimizable lamp, and the marking information of lamp k is sent to the indoor dimming monitoring terminal.

10. A dimming control algorithm for indoor constant illumination acquisition according to claim 9, characterized in that: The specific analysis process of the lamp-by-lamp evaluation unit is as follows: the number of times lamp k is assigned the energy consumption evaluation symbol QP-1 during the optimization period is obtained and the ratio is calculated with the total lighting time of lamp k during the optimization period to obtain the lamp energy saving abnormality value. If the lamp energy saving abnormality value exceeds the preset lamp energy saving abnormality threshold, lamp k is marked as an optimizable lamp. If the lamp energy-saving abnormal value does not exceed the preset lamp energy-saving abnormal threshold, the lamp operation value is calculated by weighted summing the lamp energy-saving abnormal value, the lighting non-optimal value and the lighting detection value. If the lamp operation value exceeds the preset lamp operation threshold, lamp k is marked as an optimizable lamp. Otherwise, mark luminaire k as a qualified luminaire.

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