Energy-saving control method and system for regional lighting
By receiving radar detection information of millimeter-wave radar, the lighting calibration area is generated, and the lighting constraint area set is intersected and matched, and the combined area lighting lamp combination scheme is scheduled, dynamic energy-saving control of the lighting system is realized, and traditional lighting lamps are difficult to adapt to The problem of dynamic energy saving control improves energy utilization efficiency and the intelligence of lighting systems.
Patent Information
- Application Number
- CN202410889226.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-03
- Publication Date
- 2025-02-07
- Estimated Expiration
- 2044-07-03
AI Technical Summary
Traditional lighting is difficult to adaptively dynamic energy-saving control based on the scene, resulting in low energy utilization efficiency.
By receiving radar detection information of millimeter-wave radar, including pedestrian detection locations, generating lighting calibration areas, and intersecting with the lighting constraint area set, the lighting lamp number set is obtained. Then, according to the lighting calibration area and the intersection area lighting lamp number set, several regional lighting lamp combination schemes were obtained, and through energy consumption minimization, the recommended regional lighting lamp combination scheme was obtained, and finally the intersection area lighting lamp number was numbered. Sets for control.
Dynamic adjustment of the lighting range is achieved, and the flexibility and intelligence of the lighting system are improved. On the premise of meeting lighting needs, energy consumption is minimized, energy consumption costs are reduced, and energy utilization efficiency is improved.
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Figure CN118612924B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of lighting devices, and in particular to an energy-saving control method and system for area lighting lamps. Background Art
[0002] In the current context of energy conservation and environmental protection becoming a social consensus, all walks of life are seeking ways to reduce energy consumption and carbon emissions. Therefore, the demand for intelligent energy-saving lighting systems is growing, becoming a trend in the development of the lighting industry. Traditional fixed-mode lighting systems usually lack the ability to perceive environmental changes and cannot be flexibly adjusted according to actual needs, which leads to energy waste and increased energy consumption. Summary of the invention
[0003] The present application provides an energy-saving control method for area lighting lamps, aiming to solve the technical problem that traditional lighting lamps can only be controlled according to fixed modes, and it is difficult to perform adaptive dynamic energy-saving control based on scenarios, resulting in low energy utilization efficiency.
[0004] In view of the above problems, the present application provides an energy-saving control method and system for area lighting.
[0005] The first aspect disclosed in the present application provides an energy-saving control method for area lighting, the method comprising: receiving radar detection information of a preset area by a millimeter-wave radar, wherein the radar detection information includes a pedestrian detection position; identifying a lighting range according to the pedestrian detection position to generate a lighting calibration area; obtaining a lighting constraint area set of an area lighting set, performing intersection matching with the lighting calibration area, and obtaining an intersection area lighting number set; scheduling and combining the intersection area lighting number set according to the lighting calibration area to obtain several area lighting combination schemes; performing minimum energy consumption optimization according to the several area lighting combination lighting schemes to obtain a recommended area lighting combination scheme; and controlling the intersection area lighting number set according to the recommended area lighting combination scheme.
[0006] In a second aspect disclosed in the present application, there is provided an energy-saving control system for area lighting lamps, the system being used for the above-mentioned energy-saving control method for area lighting lamps, the system comprising: a detection information acquisition module, the detection information acquisition module being used to receive radar detection information of a preset area by a millimeter-wave radar, wherein the radar detection information includes a pedestrian detection position; a lighting range identification module, the lighting range identification module being used to identify the lighting range according to the pedestrian detection position and generate a lighting calibration area; and a region intersection matching module, the region intersection matching module being used to obtain a lighting constraint region set of a set of area lighting lamps, and the lighting constraint region set of the set of area lighting lamps. The lighting calibration area is intersection-matched to obtain a set of lighting lamp numbers in the intersection area; a number scheduling and combination module is used to schedule and combine the lighting lamp number set in the intersection area according to the lighting calibration area to obtain several regional lighting combination schemes; an energy consumption minimum optimization module is used to perform energy consumption minimum optimization according to the several regional lighting lamp combination lighting schemes to obtain a recommended regional lighting combination scheme; a lighting control module is used to control the intersection area lighting lamp number set according to the recommended regional lighting combination scheme.
[0007] According to a third aspect disclosed in the present application, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, any step of the first aspect disclosed in the present application is implemented.
[0008] The fourth aspect disclosed in the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements any step of the first aspect disclosed in the present application.
[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:
[0010] By receiving the radar detection information of the millimeter wave radar, especially the pedestrian detection position, the real-time monitoring of the preset area is realized, so that the lighting range is marked and controlled based on the actual situation; by converting the pedestrian detection position into the lighting calibration area and performing intersection matching with the lighting constraint area set, the intersection area lighting lamp number set is obtained, and then the lighting calibration area and the intersection area lighting lamp number set are dispatched and combined to obtain several regional lighting lamp combination schemes, which enables the lighting range to be dynamically adjusted according to the actual situation, which is more flexible and intelligent; by minimizing the energy consumption of several regional lighting lamp combination lighting schemes, the recommended regional lighting lamp combination scheme is obtained, which enables the energy consumption to be minimized and the energy saving effect to be achieved under the premise of meeting the lighting needs; finally, according to the recommended regional lighting lamp combination scheme, the intersection area lighting lamp number set is controlled to realize intelligent lighting lamp control. In summary, this method overcomes the limitations of the fixed mode control of the traditional lighting system by introducing pedestrian detection and dynamic energy-saving control strategy, realizes the dynamic optimization of lighting energy consumption, thereby improving energy utilization efficiency and reducing energy consumption costs.
[0011] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS
[0012] Figure 1 A schematic flow chart of an energy-saving control method for an area lighting lamp provided in an embodiment of the present application;
[0013] Figure 2 A schematic diagram of the structure of an energy-saving control system for a regional lighting lamp provided in an embodiment of the present application;
[0014] Figure 3 This is a diagram of the internal structure of a computer device provided in an embodiment of the present application.
[0015] Explanation of the reference numerals: detection information acquisition module 10 , lighting range identification module 20 , area intersection matching module 30 , number scheduling combination module 40 , energy consumption minimum optimization module 50 , lighting control module 60 . DETAILED DESCRIPTION
[0016] The embodiment of the present application provides an energy-saving control method for area lighting lamps, which solves the technical problem that traditional lighting lamps can only be controlled according to fixed modes and are difficult to perform adaptive dynamic energy-saving control based on scenarios, resulting in low energy utilization efficiency.
[0017] After introducing the basic principles of the present application, various non-limiting implementation methods of the present application will be specifically introduced below in conjunction with the accompanying drawings of the specification. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.
[0018] like Figure 1 As shown, an embodiment of the present application provides an energy-saving control method for an area lighting lamp, the method comprising:
[0019] Receiving radar detection information of a preset area by a millimeter-wave radar, wherein the radar detection information includes a detected position of a pedestrian;
[0020] Millimeter-wave radar equipment is installed in a preset area. Millimeter-wave radar equipment is usually installed at a high place, such as the top of a building, to obtain a wider coverage area. Millimeter-wave radar equipment periodically sends millimeter-wave signals, which propagate in the preset area and interact with pedestrians in the area, causing part of the signal to be reflected back to the device. After receiving the reflected signal, the device processes it to determine whether there are pedestrians in the preset area and determine the pedestrian detection position, including the distance and azimuth of the pedestrian relative to the radar device at each moment.
[0021] Identify the lighting range according to the pedestrian detection position and generate a lighting calibration area;
[0022] The detected position of a pedestrian includes the position coordinates at each moment, thereby generating a position sequence within a period of time, performing motion speed analysis on the position sequence, obtaining the motion speed of the pedestrian, and determining the lighting range in combination with the preset motion duration. For example, the lighting calibration area is generated with the real-time position coordinates of the pedestrian as the center of the circle and the lighting range as the radius. By determining the lighting range based on the detected position of the pedestrian and converting it into the lighting calibration area, a basis can be provided for subsequent lighting control to ensure that pedestrians receive appropriate lighting in the preset area.
[0023] Furthermore, marking the lighting range according to the pedestrian detection position to generate a lighting calibration area includes:
[0024] The pedestrian detection position includes a pedestrian detection position sequence;
[0025] Performing motion speed analysis according to the pedestrian detection position sequence to obtain the pedestrian motion speed modulus;
[0026] Configure preset exercise duration;
[0027] A lighting range identification radius is obtained by performing a product operation based on the pedestrian movement speed modulus and the preset movement duration;
[0028] According to the illumination range identification radius, calibration is performed with the pedestrian detection position as the center of the circle to obtain the illumination calibration area.
[0029] Pedestrians in a preset area are detected by millimeter-wave radar, and their location information is recorded. This information is continuously updated over time to form a sequence of pedestrian detection positions. For example, a two-dimensional coordinate system is defined in the preset area. The sequence is a collection of a series of coordinate points in the coordinate system, and each coordinate point represents the position of the pedestrian at a certain moment.
[0030] In the continuous position data, the speed of pedestrians is constantly changing, so it is necessary to consider the speed at different time points. Specifically, the continuous position data in the pedestrian detection position sequence is used to calculate the displacement of pedestrians in different time periods. The displacement refers to the distance from one position to another. Then, the displacement is divided by the corresponding time interval to calculate the average speed of the pedestrian in each time period. The average speed is the speed modulus in the time period. The speed modulus of all time periods is analyzed to obtain the pedestrian motion speed modulus.
[0031] Configure the preset motion duration, which refers to the length of time pedestrians are expected to move in the preset area, usually in seconds. The preset motion duration can be adjusted according to actual conditions to meet different lighting needs and safety requirements.
[0032] The pedestrian movement speed modulus is multiplied by the preset movement duration. The purpose of the product operation is to estimate the distance that the pedestrian may move within the preset time based on the pedestrian movement speed and the preset movement time. The result of the product operation is a length, which represents the distance that the pedestrian may move within the preset time. This length is used as the lighting range identification radius.
[0033] Using the obtained pedestrian detection position sequence, determine the pedestrian detection position at the most recent moment as the center of the circle, use the lighting range identification radius as the radius, and draw a circular area. This circular area is the lighting calibration area, which represents the range where lighting services need to be provided.
[0034] Furthermore, performing motion speed analysis according to the pedestrian detection position sequence to obtain the pedestrian motion speed modulus includes:
[0035] Performing position distance splitting according to the pedestrian detection position sequence to obtain a pedestrian detection time zone sequence and a pedestrian detection distance sequence;
[0036] Performing speed modulus calculation according to the pedestrian detection time zone sequence and the pedestrian detection distance sequence to obtain a pedestrian detection speed modulus sequence;
[0037] A feature analysis is performed based on the pedestrian detection velocity modulus sequence to obtain the pedestrian movement velocity modulus.
[0038] The continuous pedestrian detection position sequence is split. Specifically, the time series corresponding to the position sequence is divided into different time periods. The pedestrian detection positions are grouped into different time zones according to the time information in the pedestrian detection position sequence to obtain a pedestrian detection time zone sequence. According to the continuous position data of the pedestrian in each time zone, the distances between adjacent positions are calculated, and these distances are recorded as the detection distances of the pedestrians in the corresponding time zones to obtain a pedestrian detection distance sequence.
[0039] For each time zone, the average speed of pedestrians in the time zone is calculated based on the distance data corresponding to the time zone and the time span of the time zone. The speed is calculated by dividing the displacement by the time, that is, the speed is equal to the displacement divided by the time interval. In this way, the average speed of pedestrians can be calculated for each time zone, and the average speed calculated for each time zone is used as the speed modulus of the time zone. These speed moduli are combined into a sequence to form a pedestrian detection speed modulus sequence.
[0040] The characteristic analysis of the detected speed modulus sequence of pedestrians is carried out to determine the speed modulus of pedestrians, including analyzing the fluctuation trend of the speed modulus sequence to determine whether the speed modulus is rising, falling or stable, so as to judge the movement state of the pedestrian; when the speed modulus is rising or falling, the speed modulus at the most recent moment is used as the speed modulus of the pedestrian; when it is stable, the frequency distribution of the speed modulus sequence is analyzed to determine the distribution characteristics of the speed modulus, that is, the stable speed modulus value. Based on the above analysis results, the speed modulus of pedestrians is determined, which is the result of judging based on the overall characteristics of the speed modulus sequence, and describes the average movement speed of pedestrians in a specific time period.
[0041] Furthermore, performing feature analysis according to the pedestrian detection speed modulus sequence to obtain the pedestrian movement speed modulus includes:
[0042] constructing a velocity modulus fluctuation curve according to the pedestrian detected velocity modulus sequence;
[0043] When the velocity modulus fluctuation curve is in an ascending trend or a descending trend, extracting the velocity modulus at the latest moment of the pedestrian detection velocity modulus sequence and setting it as the pedestrian movement velocity modulus;
[0044] When the speed modulus fluctuation curve is neither an ascending trend nor a descending trend, a mode analysis is performed on a plurality of pedestrian detected speed moduli in the pedestrian detected speed modulus sequence to obtain the pedestrian movement speed modulus.
[0045] According to the data in the pedestrian speed modulus sequence, a speed modulus fluctuation curve is drawn. This curve describes the changes in the speed modulus of pedestrians at different times. In the fluctuation curve, the horizontal axis represents time and the vertical axis represents speed modulus. According to the speed modulus data in the sequence, the corresponding points are drawn at the corresponding time, and then these points are connected to form a fluctuation curve. The fluctuation curve can show the changing trend of the pedestrian speed modulus, including rising, falling, maintaining equality, and frequent changes or stability of the speed modulus.
[0046] The velocity modulus fluctuation curve is trend analyzed to determine whether it is an upward trend or a downward trend. An upward trend indicates that the velocity modulus is gradually increasing, and a downward trend indicates that the velocity modulus is gradually decreasing. If the velocity modulus fluctuation curve shows an upward trend or a downward trend, the velocity modulus at the most recent moment is extracted as the pedestrian motion velocity modulus. This is because an upward or downward trend indicates that the pedestrian's speed is gradually increasing or decreasing, so the velocity modulus at the most recent moment can better reflect the pedestrian's current motion state.
[0047] When the speed modulus fluctuation curve does not show an obvious trend, the speed modulus sequence is subjected to mode analysis. The mode is the value that appears most frequently in a set of data, representing the speed modulus value with the highest frequency in the speed modulus sequence, that is, the frequency of each speed modulus value that appears in the speed modulus sequence is counted, and the value with the most occurrences is determined as the pedestrian movement speed modulus. This is because the mode can reflect the main trend in the data set and can be used as a representative value of the pedestrian movement speed in a data set without an obvious trend.
[0048] Obtaining a lighting constraint area set of a regional lighting lamp set, performing intersection matching with the lighting calibration area, and obtaining a lighting lamp number set in the intersection area;
[0049] Get the location information of all lights in the preset area to form a set of regional lights. The lighting angles of these lights are adjustable, including horizontal and elevation angles. Convert the location information of each light into a lighting constraint area, which is a geometric shape centered on the light, usually a circle, indicating the effective lighting range of the light.
[0050] Intersection matching is performed on all lighting constraint areas and lighting calibration areas, that is, each lighting constraint area is checked to see whether there is an intersection with the lighting calibration area. If there is an intersection between a lighting constraint area and a lighting calibration area, it means that the lighting lamp corresponding to the constraint area can provide lighting services for the calibration area. In this case, the lighting lamp is used as the intersection area lighting lamp, and all the intersection area lighting lamps are obtained and numbered to obtain a set of intersection area lighting lamp numbers, which includes the numbers of the lighting lamps located in the lighting calibration area.
[0051] According to the lighting calibration area, the intersection area lighting lamp number set is scheduled and combined to obtain several regional lighting lamp combination schemes;
[0052] Furthermore, according to the lighting calibration area, the intersection area lighting lamp number set is scheduled and combined to obtain several regional lighting lamp combination schemes, including:
[0053] Obtaining lighting control parameters, wherein the lighting control parameters include a horizontal rotation angle of the lighting lamp and a pitch rotation angle of the lighting lamp;
[0054] According to the horizontal rotation angle of the lighting lamp and the pitch rotation angle of the lighting lamp as control variables, the lighting lamp number set in the intersection area is randomly combined to obtain the lighting range of the first lighting lamp, the lighting range of the second lighting lamp, and finally the lighting range of the Nth lighting lamp;
[0055] Taking the union of the lighting range of the first lighting lamp, the lighting range of the second lighting lamp, and the lighting range of the Nth lighting lamp to obtain a fused lighting range, where N is an integer, N≥1;
[0056] When the fused lighting range includes the lighting calibration area, the first lighting range, the second lighting range up to the Nth lighting range, and the first lighting control state, the second lighting control state up to the Nth lighting control state associated with the first lighting range, the second lighting range up to the Nth lighting range, are added to the several regional lighting combination schemes.
[0057] According to the design parameters of the lighting lamp, the lighting control parameters are obtained. These parameters are used to control the illumination direction of the lighting lamp, including the horizontal rotation angle and the pitch angle of the lighting lamp. Among them, the horizontal angle is used to control the rotation angle of the lighting lamp in the horizontal direction, which determines the left and right rotation range of the lighting lamp; the pitch angle is used to control the rotation angle of the lighting lamp in the vertical direction, which determines the up and down rotation range of the lighting lamp.
[0058] The horizontal and elevation angles of the lighting lamps are used as control variables. These angles determine the direction of the lighting lamps. These parameters can be adjusted to change the lighting range. According to the set horizontal angle range and elevation angle range, the lighting lamps in the lighting lamp number set in the intersection area are randomly combined. Specifically, a certain number of lighting lamps are randomly selected, and then their horizontal and elevation angles are randomly assigned. Alternatively, the angle of each lighting lamp can be independently and randomly adjusted to obtain multiple combination schemes.
[0059] For each combination scheme, the lighting range of each lighting lamp is determined according to the position and angle information of the lighting lamp using a light propagation model or a geometric analysis method, and the obtained lighting range is output as the lighting range of the first lighting lamp, the lighting range of the second lighting lamp, and so on, until the lighting range of the Nth lighting lamp, where N represents the number of lighting lamps in the combination scheme, and N is an integer, N≥1, that is, there is at least one lighting lamp in the combination scheme.
[0060] The lighting range of the first lighting lamp, the lighting range of the second lighting lamp, and the lighting range of the Nth lighting lamp are combined, which means that the lighting ranges of all lighting lamps are aggregated to form a maximum range that includes the lighting ranges of all lighting lamps. The resulting union is the fused lighting range, which represents the overall lighting area covered by the set of all selected lighting lamps. This fused lighting range includes the lighting ranges of all selected lighting lamps in the set of lighting lamp numbers in the intersection area, as well as their possible overlapping parts.
[0061] Check the fused lighting range to verify whether it includes the lighting calibration area, that is, verify whether the selected lighting scheme can cover the preset lighting calibration area. If the fused lighting range includes the lighting calibration area, it means that the lighting scheme is feasible. In this case, the lighting range of each lighting lamp in the scheme and the control state of each lighting lamp are added to the several regional lighting lamp combination schemes. This means that the selected lighting lamp and its corresponding control state are added as a combination scheme to the regional lighting lamp combination scheme for subsequent energy consumption minimization optimization. If the fused lighting range does not include the lighting calibration area, it means that the lighting scheme is not feasible, so the scheme is discarded and the next scheme is traversed.
[0062] After the addition is completed, several updated regional lighting combination schemes are obtained. These combination schemes are all schemes covering the lighting calibration area. Each scheme includes the lighting number, lighting range, and lighting control status.
[0063] According to the plurality of regional lighting lamp combination lighting schemes, the minimum energy consumption is optimized to obtain a recommended regional lighting lamp combination scheme;
[0064] For each regional lighting combination scheme, its energy consumption is evaluated, including the intersection area and union area of the lighting range within the combination, and the remaining photovoltaic energy storage of the corresponding combination scheme. The energy consumption evaluation results of each combination scheme are compared, and the lighting scheme with the lowest energy consumption is selected as the recommended regional lighting combination scheme.
[0065] Furthermore, the energy consumption is minimized according to the plurality of area lighting lamp combination lighting schemes to obtain a recommended area lighting lamp combination scheme, including:
[0066] Construct a fitness function:
[0067]
[0068] Among them, FIT represents fitness, W1 represents the first weight, W2 represents the second weight, A 1 ∩A 2 ∩A 3 ...∩A N Represents the intersection area of the lighting range of N lighting lamps, A 1 ∪A 2 ∪A 3 ...∪A N Represents the union area of the lighting range of N lighting lamps, A 0 Characterize the area of the lighting calibration area;
[0069] According to the fitness function, traverse the plurality of area lighting lamp combination lighting schemes for analysis to obtain a plurality of fitness evaluation values;
[0070] The regional lighting lamp combination lighting scheme having the minimum value of the plurality of fitness evaluation values is taken as the recommended regional lighting lamp combination scheme.
[0071] Specifically, the fitness function is constructed as follows:
[0072]
[0073] Among them, the weight W 1 and W 2 The choice depends on the design goals and priorities, and W 1 and W 2 The sum of is 1 to ensure that the value of the fitness function is within a reasonable range. It represents the ratio of the intersection area of the lighting range to the union area. This item evaluates the waste of lighting. The larger the intersection, the more waste there is. It represents the ratio of the difference between the lighting range and the lighting calibration area to the union area. This item evaluates the degree of consistency between the lighting range and the target area, that is, the closeness of the lighting range to the preset lighting area.
[0074] Traverse the obtained lighting schemes of several area lighting lamp combinations, and for each lighting scheme, use the constructed fitness function to calculate the corresponding fitness evaluation value according to the lighting range and lighting calibration area contained in the scheme. All lighting schemes are traversed and fitness calculated in a loop until all schemes are analyzed and several fitness evaluation values are obtained, which reflect the pros and cons of each scheme.
[0075] The fitness evaluation values of all the schemes are compared, and the scheme with the smallest fitness evaluation value is found and selected as the recommended scheme for controlling the setting and operation of the area lighting.
[0076] Furthermore, the method further comprises:
[0077] Obtaining a plurality of photovoltaic energy storage surpluses of the plurality of area lighting lamp combination lighting schemes;
[0078] According to the plurality of photovoltaic energy storage remaining amounts, the fitness function is modified to obtain a fitness update function:
[0079]
[0080] Among them, FIT represents fitness, W1 represents the first weight, W2 represents the second weight, W3 represents the third weight, A 1 ∩A 2 ∩A 3 ...∩A N Represents the intersection area of the lighting range of N lighting lamps, A 1 ∪A 2 ∪A 3 ...∪A N Represents the union area of the lighting range of N lighting lamps, A 0 Characterizes the area of the illumination calibration area, E k It represents the remaining amount of photovoltaic energy storage corresponding to the combination scheme, and Q represents the number of combined lighting schemes for regional lighting lamps;
[0081] According to the fitness update function, traverse the plurality of area lighting lamp combination lighting schemes for analysis to obtain a plurality of fitness update evaluation values;
[0082] The regional lighting lamp combination lighting scheme having the minimum value of the plurality of fitness update evaluation values is taken as the recommended regional lighting lamp combination scheme.
[0083] The electric energy generated by the photovoltaic system is calculated based on the design parameters of the photovoltaic system and environmental factors such as the current solar radiation. The actual electric energy consumed during the lighting period is estimated based on the selected regional lighting combination lighting scheme. The electric energy generated by the photovoltaic system is compared with the electric energy consumed by the actual lighting to obtain the remaining photovoltaic energy storage. All schemes are traversed to obtain several remaining photovoltaic energy storage, and the calculated remaining photovoltaic energy storage is associated with the corresponding lighting scheme.
[0084] According to the remaining amount of photovoltaic energy storage, the fitness function is modified, and the modified fitness update function is as follows:
[0085]
[0086] Among them, the first two items are the same as the original fitness function, and the third middle, The remaining photovoltaic energy storage of the corresponding combination scheme accounts for the proportion of the total remaining photovoltaic energy storage of all schemes. The remaining photovoltaic energy storage of the current scheme E k The larger the value, the greater the proportion, so the third item The smaller the value of , the smaller the overall fitness in this case; conversely, the fitness increases. And, when the third weight W is added 3 After that, the original weight W 1 and W 2 Make adaptive adjustments so that W 1 , W 2 , W 3 The sum of is 1.
[0087] Traverse several area lighting combination lighting schemes. For each lighting scheme, use the fitness update function to calculate the corresponding fitness update evaluation value according to the lighting range, lighting calibration area and photovoltaic energy storage remaining amount included in the scheme. All lighting schemes are traversed and fitness update calculations are performed in a loop until all schemes are analyzed and several fitness update evaluation values are obtained.
[0088] The fitness update evaluation values of all the schemes are compared, and the scheme with the smallest fitness update evaluation value is found and selected as the recommended scheme for controlling the setting and operation of the area lighting.
[0089] According to the recommended area lighting combination scheme, the intersection area lighting number set is controlled.
[0090] The recommended area lighting combination scheme is the best solution determined after minimizing energy consumption. The intersection area lighting number set includes the numbers of the lighting lamps located in the lighting calibration area. According to the recommended area lighting combination scheme, the intersection area lighting number set is controlled, including determining which lighting lamps should be activated to provide lighting services according to the recommended scheme, and adjusting the lighting lamps accordingly according to the illumination angle parameters in the recommended scheme to achieve the best lighting effect and ensure that pedestrians in the lighting calibration area receive lighting services.
[0091] In summary, the energy-saving control method for area lighting provided by the embodiment of the present application has the following technical effects:
[0092] 1. By receiving radar detection information from millimeter-wave radar, especially the detection position of pedestrians, real-time monitoring of the preset area is achieved, so that the lighting range can be marked and controlled based on the actual situation;
[0093] 2. By converting the pedestrian detection position into a lighting calibration area and performing intersection matching with the lighting constraint area set, a set of intersection area lighting lamp numbers is obtained. Then, according to the lighting calibration area and the intersection area lighting lamp number set, scheduling and combination are performed to obtain several regional lighting lamp combination schemes. This enables the lighting range to be dynamically adjusted according to actual conditions, which is more flexible and intelligent.
[0094] 3. By optimizing the energy consumption of several regional lighting combination solutions, a recommended regional lighting combination solution is obtained, which can minimize energy consumption and achieve energy-saving effects while meeting lighting needs;
[0095] 4. Finally, according to the recommended area lighting combination plan, the intersection area lighting number set is controlled to realize intelligent lighting control.
[0096] In summary, this method overcomes the limitations of fixed-mode control of traditional lighting systems by introducing pedestrian detection and dynamic energy-saving control strategies, realizes dynamic optimization of lighting energy consumption, thereby improving energy utilization efficiency and reducing energy consumption costs.
[0097] Based on the same inventive concept as the energy-saving control method for a regional lighting lamp in the aforementioned embodiment, Figure 2 As shown, the present application provides an energy-saving control system for regional lighting, the system comprising:
[0098] A detection information acquisition module 10, the detection information acquisition module 10 is used to receive radar detection information of a preset area by a millimeter wave radar, wherein the radar detection information includes a pedestrian detection position;
[0099] A lighting range identification module 20, the lighting range identification module 20 is used to identify the lighting range according to the pedestrian detection position and generate a lighting calibration area;
[0100] A region intersection matching module 30, the region intersection matching module 30 is used to obtain a lighting constraint region set of a regional lighting lamp set, and perform intersection matching with the lighting calibration region to obtain a lighting lamp number set of the intersection region;
[0101] A number scheduling and combination module 40, the number scheduling and combination module 40 is used to schedule and combine the number sets of lighting lamps in the intersection area according to the lighting calibration area to obtain a plurality of regional lighting combination schemes;
[0102] The energy consumption minimum optimization module 50 is used to perform energy consumption minimum optimization according to the plurality of regional lighting lamp combination lighting schemes to obtain a recommended regional lighting lamp combination scheme;
[0103] The lighting control module 60 is used to control the lighting number set of the intersection area according to the recommended area lighting combination scheme.
[0104] Furthermore, the system further includes a lighting calibration area acquisition module to perform the following operation steps:
[0105] The pedestrian detection position includes a pedestrian detection position sequence;
[0106] Performing motion speed analysis according to the pedestrian detection position sequence to obtain the pedestrian motion speed modulus;
[0107] Configure preset exercise duration;
[0108] A lighting range identification radius is obtained by performing a product operation based on the pedestrian movement speed modulus and the preset movement duration;
[0109] According to the illumination range identification radius, calibration is performed with the pedestrian detection position as the center of the circle to obtain the illumination calibration area.
[0110] Furthermore, the system further includes a pedestrian motion velocity modulus acquisition module to perform the following operation steps:
[0111] Performing position distance splitting according to the pedestrian detection position sequence to obtain a pedestrian detection time zone sequence and a pedestrian detection distance sequence;
[0112] Performing speed modulus calculation according to the pedestrian detection time zone sequence and the pedestrian detection distance sequence to obtain a pedestrian detection speed modulus sequence;
[0113] A feature analysis is performed based on the pedestrian detection velocity modulus sequence to obtain the pedestrian movement velocity modulus.
[0114] Furthermore, the system further includes a pedestrian motion velocity modulus acquisition module to perform the following operation steps:
[0115] constructing a velocity modulus fluctuation curve according to the pedestrian detected velocity modulus sequence;
[0116] When the velocity modulus fluctuation curve is in an ascending trend or a descending trend, extracting the velocity modulus at the latest moment of the pedestrian detection velocity modulus sequence and setting it as the pedestrian movement velocity modulus;
[0117] When the speed modulus fluctuation curve is neither an ascending trend nor a descending trend, a mode analysis is performed on a plurality of pedestrian detected speed moduli in the pedestrian detected speed modulus sequence to obtain the pedestrian movement speed modulus.
[0118] Furthermore, the system further includes a combination scheme acquisition module to perform the following operation steps:
[0119] Obtaining lighting control parameters, wherein the lighting control parameters include a horizontal rotation angle of the lighting lamp and a pitch rotation angle of the lighting lamp;
[0120] According to the horizontal rotation angle of the lighting lamp and the pitch rotation angle of the lighting lamp as control variables, the lighting lamp number set in the intersection area is randomly combined to obtain the lighting range of the first lighting lamp, the lighting range of the second lighting lamp, and finally the lighting range of the Nth lighting lamp;
[0121] Taking the union of the lighting range of the first lighting lamp, the lighting range of the second lighting lamp, and the lighting range of the Nth lighting lamp to obtain a fused lighting range, where N is an integer, N≥1;
[0122] When the fused lighting range includes the lighting calibration area, the first lighting range, the second lighting range up to the Nth lighting range, and the first lighting control state, the second lighting control state up to the Nth lighting control state associated with the first lighting range, the second lighting range up to the Nth lighting range, are added to the several regional lighting combination schemes.
[0123] Furthermore, the system further includes a recommendation scheme acquisition module to perform the following operation steps:
[0124] Construct a fitness function:
[0125]
[0126] Among them, FIT represents fitness, W1 represents the first weight, W2 represents the second weight, A 1 ∩A 2 ∩A 3 ...∩A N Represents the intersection area of the lighting range of N lighting lamps, A 1 ∪ A 2 ∪ A 3 ...∪ A N Represents the union area of the lighting range of N lighting lamps, A 0 Characterize the area of the lighting calibration area;
[0127] According to the fitness function, traverse the plurality of area lighting lamp combination lighting schemes for analysis to obtain a plurality of fitness evaluation values;
[0128] The regional lighting lamp combination lighting scheme having the minimum value of the plurality of fitness evaluation values is taken as the recommended regional lighting lamp combination scheme.
[0129] Furthermore, the system further includes a recommended combination scheme acquisition module to perform the following operation steps:
[0130] Obtaining a plurality of photovoltaic energy storage surpluses of the plurality of area lighting lamp combination lighting schemes;
[0131] According to the plurality of photovoltaic energy storage remaining amounts, the fitness function is modified to obtain a fitness update function:
[0132]
[0133] Among them, FIT represents fitness, W1 represents the first weight, W2 represents the second weight, Wj represents the third weight, A 1 ∩A 2 ∩A 3 ...∩A N Represents the intersection area of the lighting range of N lighting lamps, A 1 ∪ A 2 ∪A 3 ...∪ A N Represents the union area of the lighting range of N lighting lamps, A 0 Characterizes the area of the illumination calibration area, E k It represents the remaining amount of photovoltaic energy storage corresponding to the combination scheme, and Q represents the number of combined lighting schemes for regional lighting lamps;
[0134] According to the fitness update function, traverse the plurality of area lighting lamp combination lighting schemes for analysis to obtain a plurality of fitness update evaluation values;
[0135] The regional lighting lamp combination lighting scheme having the minimum value of the plurality of fitness update evaluation values is taken as the recommended regional lighting lamp combination scheme.
[0136] Through the above-mentioned detailed description of an energy-saving control method for an area lighting lamp in this specification, those skilled in the art can clearly know an energy-saving control system for an area lighting lamp in this embodiment. Since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.
[0137] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 3As shown. The computer device includes a processor, a memory and a network interface connected through a system bus, wherein the processor of the computer device is used to provide computing and control capabilities; the memory of the computer device includes a non-volatile storage medium and an internal memory, wherein the non-volatile storage medium stores an operating system, a computer program and a database, and the internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium; the network interface of the computer device is used to communicate with an external terminal through a network connection. The computer program is executed by the processor to implement an energy-saving control method for a regional lighting lamp.
[0138] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.
[0139] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0140] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A method for energy-saving control of regional lighting, characterized in that: The method comprises: Receiving radar detection information of a preset area by a millimeter-wave radar, wherein the radar detection information includes a detected position of a pedestrian; Identify the lighting range according to the pedestrian detection position and generate a lighting calibration area; Obtaining a lighting constraint area set of a regional lighting lamp set, performing intersection matching with the lighting calibration area, and obtaining a lighting lamp number set in the intersection area; According to the lighting calibration area, the intersection area lighting lamp number set is scheduled and combined to obtain several regional lighting lamp combination schemes; According to the plurality of regional lighting combination schemes, the optimization of the minimum energy consumption is performed to obtain a recommended regional lighting combination scheme; According to the recommended area lighting combination scheme, the intersection area lighting number set is controlled; The step of marking the lighting range according to the pedestrian detection position and generating the lighting calibration area includes: The pedestrian detection position includes a pedestrian detection position sequence; Performing motion speed analysis according to the pedestrian detection position sequence to obtain the pedestrian motion speed modulus; Configure preset exercise duration; A lighting range identification radius is obtained by performing a product operation based on the pedestrian movement speed modulus and the preset movement duration; According to the illumination range identification radius, calibration is performed with the pedestrian detection position as the center of the circle to obtain the illumination calibration area; According to the lighting calibration area, the intersection area lighting lamp number set is scheduled and combined to obtain several regional lighting lamp combination schemes, including: Obtaining lighting control parameters, wherein the lighting control parameters include a horizontal rotation angle of the lighting lamp and a pitch rotation angle of the lighting lamp; According to the horizontal rotation angle of the lighting lamp and the pitch rotation angle of the lighting lamp as control variables, the lighting lamp number set in the intersection area is randomly combined to obtain the lighting range of the first lighting lamp, the lighting range of the second lighting lamp, and finally the lighting range of the Nth lighting lamp; Taking the union of the lighting range of the first lighting lamp, the lighting range of the second lighting lamp, and the lighting range of the Nth lighting lamp to obtain a fused lighting range, where N is an integer, N≥1; When the fused lighting range includes the lighting calibration area, the first lighting range, the second lighting range up to the Nth lighting range, and the first lighting control state, the second lighting control state up to the Nth lighting control state associated with the first lighting range, the second lighting range up to the Nth lighting range, are added to the several regional lighting combination schemes.
2. The method according to claim 1, characterized in that Performing motion speed analysis according to the pedestrian detection position sequence to obtain the pedestrian motion speed modulus includes: Performing position distance splitting according to the pedestrian detection position sequence to obtain a pedestrian detection time zone sequence and a pedestrian detection distance sequence; Performing speed modulus calculation according to the pedestrian detection time zone sequence and the pedestrian detection distance sequence to obtain a pedestrian detection speed modulus sequence; A feature analysis is performed based on the pedestrian detection velocity modulus sequence to obtain the pedestrian movement velocity modulus.
3. The method according to claim 2, characterized in that Performing feature analysis according to the pedestrian detection speed modulus sequence to obtain the pedestrian movement speed modulus includes: constructing a velocity modulus fluctuation curve according to the pedestrian detected velocity modulus sequence; When the velocity modulus fluctuation curve is in an upward trend or a downward trend, extract the velocity modulus at the latest moment of the pedestrian detection velocity modulus sequence and set it as the pedestrian movement velocity modulus; When the speed modulus fluctuation curve has a non-climbing trend and a non-declining trend, a mode analysis is performed on a plurality of pedestrian detected speed moduli in the pedestrian detected speed modulus sequence to obtain the pedestrian movement speed modulus.
4. The method according to claim 1, characterized in that The energy consumption is minimized according to the plurality of area lighting lamp combination lighting schemes, and a recommended area lighting lamp combination scheme is obtained, including: Construct a fitness function: Among them, FIT represents fitness, W1 represents the first weight, W2 represents the second weight, A1∩A2∩A3…∩A N Represents the intersection area of the lighting range of N lighting lamps, A1∪A2∪A3…∪A N A represents the union area of the lighting range of N lighting lamps, and A0 represents the area of the lighting calibration area; According to the fitness function, traverse the plurality of area lighting lamp combination lighting schemes for analysis to obtain a plurality of fitness evaluation values; The regional lighting lamp combination lighting scheme having the minimum value of the plurality of fitness evaluation values is taken as the recommended regional lighting lamp combination scheme.
5. The method according to claim 4, characterized in that Also includes: Obtaining a plurality of photovoltaic energy storage surpluses of the plurality of area lighting lamp combination lighting solutions; According to the plurality of photovoltaic energy storage remaining amounts, the fitness function is modified to obtain a fitness update function: Among them, FIT represents fitness, W1 represents the first weight, W2 represents the second weight, W3 represents the third weight, A1∩A2∩A3…∩A N Represents the intersection area of the lighting range of N lighting lamps, A1∪A2∪A3…∪A N represents the union area of the lighting range of N lighting lamps, A0 represents the area of the lighting calibration area, E k It represents the remaining amount of photovoltaic energy storage corresponding to the combination scheme, and Q represents the number of combined lighting schemes for regional lighting lamps; According to the fitness update function, traverse the plurality of area lighting lamp combination lighting schemes for analysis to obtain a plurality of fitness update evaluation values; The regional lighting lamp combination lighting scheme having the minimum value of the plurality of fitness update evaluation values is taken as the recommended regional lighting lamp combination scheme.
6. An energy-saving control system for regional lighting, characterized in that: A method for controlling an energy-saving area lighting lamp according to any one of claims 1 to 5, the system comprising: A detection information acquisition module, the detection information acquisition module is used to receive radar detection information of a preset area by a millimeter wave radar, wherein the radar detection information includes a pedestrian detection position; A lighting range identification module, the lighting range identification module is used to identify the lighting range according to the pedestrian detection position and generate a lighting calibration area; A region intersection matching module, the region intersection matching module is used to obtain a lighting constraint region set of a regional lighting lamp set, perform intersection matching with the lighting calibration region, and obtain a lighting lamp number set of the intersection region; A number scheduling and combination module, the number scheduling and combination module is used to schedule and combine the number sets of lighting lamps in the intersection area according to the lighting calibration area to obtain a plurality of regional lighting combination schemes; An energy consumption minimum optimization module, the energy consumption minimum optimization module is used to perform energy consumption minimum optimization according to the plurality of regional lighting lamp combination lighting schemes to obtain a recommended regional lighting lamp combination scheme; A lighting control module, the lighting control module is used to control the lighting number set of the intersection area according to the lighting combination scheme of the recommended area; The step of marking the lighting range according to the pedestrian detection position and generating the lighting calibration area includes: The pedestrian detection position includes a pedestrian detection position sequence; Performing motion speed analysis according to the pedestrian detection position sequence to obtain the pedestrian motion speed modulus; Configure preset exercise duration; A lighting range identification radius is obtained by performing a product operation based on the pedestrian movement speed modulus and the preset movement duration; According to the illumination range identification radius, calibration is performed with the pedestrian detection position as the center of the circle to obtain the illumination calibration area; According to the lighting calibration area, the intersection area lighting lamp number set is scheduled and combined to obtain several regional lighting lamp combination schemes, including: Obtaining lighting control parameters, wherein the lighting control parameters include a horizontal rotation angle of the lighting lamp and a pitch rotation angle of the lighting lamp; According to the horizontal rotation angle of the lighting lamp and the pitch rotation angle of the lighting lamp as control variables, the lighting lamp number set in the intersection area is randomly combined to obtain the lighting range of the first lighting lamp, the lighting range of the second lighting lamp, and finally the lighting range of the Nth lighting lamp; Taking the union of the lighting range of the first lighting lamp, the lighting range of the second lighting lamp, and the lighting range of the Nth lighting lamp to obtain a fused lighting range, where N is an integer, N≥1; When the fused lighting range includes the lighting calibration area, the first lighting range, the second lighting range up to the Nth lighting range, and the first lighting control state, the second lighting control state up to the Nth lighting control state associated with the first lighting range, the second lighting range up to the Nth lighting range, are added to the several regional lighting combination schemes.
7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the energy-saving control method for an area lighting lamp according to any one of claims 1 to 5 are implemented.
8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the energy-saving control method for an area lighting lamp according to any one of claims 1 to 5 are implemented.
Citation Information
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