Illumination system energy optimization method and system

Abstract

The invention relates to the technical field of illumination optimization, and discloses an illumination system energy optimization method and system, and the method comprises the steps: formulating illumination adjustment plans based on the initial brightness of an illumination system: a basic illumination adjustment plan, a sudden weather illumination adjustment plan, and a season replacement illumination adjustment plan; presetting ideal power consumption; obtaining an environmental influence factor, an expected value and a seasonal illumination mode factor of the illumination system according to the illumination adjustment plan, and determining actual power consumption of the illumination system according to the illumination adjustment plan; and according to the ideal power consumption, the actual power consumption, the environmental impact factor, the expected value and the seasonal illumination mode factor, constructing a comprehensive evaluation model, and minimizing the comprehensive evaluation model to obtain an optimal illumination strategy. Compared with a method for adjusting the brightness through a fixed threshold value in the prior art, the energy efficiency of the lighting system can be remarkably improved, energy waste is reduced, and meanwhile a more comfortable and high-adaptability lighting environment is provided.

Description

Technical Field

[0001] The present invention relates to the technical field of energy optimization, and in particular to a lighting system energy optimization method and system. Background Art

[0002] With the acceleration of urbanization and the improvement of people's requirements for quality of life, lighting systems play an increasingly important role in daily life and work. Reasonable lighting can not only provide a comfortable visual environment, but also effectively improve work efficiency and quality of life. However, traditional lighting systems often have problems such as high energy consumption and poor flexibility, and are difficult to adapt to the changing needs of different times and environments. By introducing sensors, controllers and communication technologies, intelligent lighting systems can monitor environmental changes and user needs in real time, and automatically adjust lighting brightness and switching time, so as to achieve the goals of energy saving and emission reduction and improve user experience. Intelligent lighting systems reduce unnecessary energy consumption by dynamically adjusting lighting brightness and switching time, automatically adjust lighting brightness according to ambient light and user needs, provide a comfortable visual environment, and realize remote monitoring and management through a central control system to improve management efficiency. Many intelligent lighting systems use fixed thresholds to control lighting brightness, which cannot flexibly respond to changes in different times and environments. For example, the lighting conditions during the day and at night vary greatly, and fixed thresholds may cause too bright or too dark conditions in certain periods, affecting user comfort and increasing energy consumption. Similarly, the light intensity and time distribution in different seasons also vary significantly, and fixed thresholds cannot adapt to these changes, resulting in energy waste and poor user experience. Existing intelligent lighting systems lack effective adjustment mechanisms when dealing with unexpected weather and seasonal changes. For example, when it is cloudy or rainy, the light intensity may drop suddenly. Even if a fixed threshold is used, the lighting brightness cannot be adjusted in time, resulting in insufficient indoor light. Similarly, seasonal changes can also cause significant changes in lighting conditions. Fixed threshold systems cannot adapt to these changes, resulting in unsatisfactory lighting effects, inability to obtain accurate lighting strategies, and inability to control energy consumption to the lowest level. Summary of the invention

[0003] In order to solve the above technical problems, the present invention provides a lighting system energy optimization method, comprising:

[0004] Step 1, formulate a lighting adjustment plan based on the initial brightness of the lighting system;

[0005] Construct basic lighting indicators, emergency weather lighting adjustment indicators, and seasonal lighting adjustment indicators; formulate basic lighting adjustment plans based on basic lighting indicators; formulate emergency weather lighting adjustment plans based on emergency weather lighting adjustment indicators; formulate seasonal lighting adjustment plans based on seasonal lighting adjustment indicators;

[0006] The lighting adjustment plan refers to adjusting the initial brightness of the lighting system to obtain the expected value of the lighting system; specifically, executing the basic lighting adjustment plan to adjust the initial brightness of the lighting system to obtain the basic lighting expected value of the lighting system, executing the sudden weather lighting adjustment plan to adjust the initial brightness of the lighting system to obtain the sudden weather lighting expected value, and executing the seasonal lighting adjustment plan to adjust the initial brightness of the lighting system to obtain the seasonal lighting expected value;

[0007] Step 2, preset the ideal power consumption; obtain the environmental impact factor, expected value, and seasonal light mode factor of the lighting system according to the lighting adjustment plan, and determine the actual power consumption of the lighting system according to the lighting adjustment plan;

[0008] Step 3: According to the ideal power consumption, actual power consumption, environmental impact factors, expected values, and seasonal light pattern factors, a comprehensive evaluation model is constructed, and the comprehensive evaluation model is minimized to obtain the optimal lighting strategy.

[0009] Furthermore, the basic lighting indicators include: time interval, flow of people;

[0010] According to the time interval and the flow of people, the initial brightness of the lighting system is adjusted to obtain the basic lighting expected value: the light intensity of the current environment is obtained according to the sensor; the time interval is determined according to the light intensity of the current environment; the flow of people in each time interval is obtained, and a threshold is constructed for the flow of people in each time interval, and the initial brightness of the lighting system is adjusted based on the threshold to obtain the basic lighting expected value; the actual power consumption of the lighting system is calculated according to the basic lighting expected value.

[0011] Further, the threshold includes a first threshold and a second threshold;

[0012] The initial brightness of the lighting system is adjusted based on the threshold, specifically: when the flow of people in the current time interval is less than the first threshold, the brightness of the lighting system in the current time interval is adjusted to X times the initial brightness; when the flow of people in the current time interval is greater than or equal to the first threshold and less than the second threshold, the brightness of the lighting system in the current time interval is adjusted to Y times the initial brightness; when the flow of people in the current time interval is greater than or equal to the second threshold, the brightness of the lighting system in the current time interval is maintained at the initial brightness; X <Y。

[0013] Furthermore, the length of each time interval and the weight of the time interval are obtained; the weight of the flow of people is obtained according to the flow of people in each time interval; the first threshold and the second threshold are obtained according to the length of each time interval, the weight of the time interval, the weight of the flow of people, the flow of people in the time interval, and the light intensity.

[0014] Furthermore, the first threshold is: ;

[0015] In the formula, is the first threshold, is the length of the tth time interval, is the flow of people in the tth time interval, is the light intensity in the tth time interval, is the time interval weight of the t-th time interval, is the passenger flow weight in the tth time interval.

[0016] Furthermore, the second threshold is: ;

[0017] In the formula, is the second threshold.

[0018] Further, the sudden weather lighting adjustment index is a sudden weather environment impact factor;

[0019] The expected value of sudden weather lighting is obtained based on the expected value of basic lighting and the impact factor of sudden weather environment; the actual power consumption of the lighting system is calculated based on the expected value of sudden weather lighting.

[0020] Furthermore, the seasonal lighting adjustment index includes: seasonal environmental impact factors, seasonal lighting patterns;

[0021] According to the seasonal environmental influencing factors, seasonal lighting patterns and basic lighting expected values, the seasonal lighting expected values ​​are obtained, and the actual power consumption of the lighting system is calculated based on the seasonal lighting expected values.

[0022] The comprehensive evaluation model is: ;

[0023] In the formula, As a comprehensive evaluation indicator, The actual power consumption of the i-th lighting adjustment plan, For ideal power consumption, is the environmental impact factor of the i-th lighting adjustment plan, is the expected value of the i-th lighting adjustment plan, is the seasonal light pattern factor of the i-th lighting adjustment plan, N is the maximum number of lighting adjustment plans, , , Represent the adjustment coefficients respectively.

[0024] The present invention also discloses a lighting system energy optimization system, comprising the following modules:

[0025] Lighting brightness adjustment module: used to formulate lighting adjustment plans based on the initial brightness of the lighting system;

[0026] Index establishment module: connected with the lighting brightness adjustment module, used to preset the ideal power consumption; obtain the environmental impact factor, expected value, and seasonal light mode factor of the lighting system according to the lighting adjustment plan, and determine the actual power consumption of the lighting system according to the lighting adjustment plan;

[0027] Optimal lighting strategy determination module: connected to the indicator establishment module, used to build a comprehensive evaluation model based on ideal power consumption, actual power consumption, environmental impact factors, expected values, and seasonal light pattern factors, minimize the comprehensive evaluation model, and obtain the optimal lighting strategy.

[0028] The embodiments of the present invention have the following technical effects:

[0029] The present invention formulates a basic lighting plan, a sudden weather lighting adjustment plan and a seasonal lighting adjustment plan by constructing basic lighting indicators, sudden weather lighting adjustment indicators and seasonal lighting adjustment indicators. These plans comprehensively consider multiple factors such as time intervals, traffic flow, environmental impacts, seasonal lighting patterns, etc., and can flexibly respond to changing needs at different times and environments. Through these plans, the actual power consumption, environmental impact factors, expected values ​​and seasonal lighting pattern factors can be accurately determined, and a comprehensive evaluation model can be constructed to minimize the comprehensive evaluation model, and finally the optimal lighting strategy can be obtained. Compared with the method of adjusting brightness by a fixed threshold in the prior art, the present invention can significantly improve the energy efficiency of the lighting system, reduce energy waste, and provide a more comfortable and adaptable lighting environment. In addition, the present invention also improves the intelligence level of the system, enhances the adaptability to sudden weather and seasonal changes, and provides users with a more personalized and efficient lighting experience, thereby achieving a double improvement in energy saving and environmental protection and user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0031] Figure 1 is a flow chart of a lighting system energy optimization method provided by an embodiment of the present invention;

[0032] Figure 2 is a structural schematic diagram of a lighting system energy optimization system provided by an embodiment of the present invention;

[0033] Figure 3 It is a structural schematic diagram of an electronic device provided by the implementation of the present invention. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described clearly and completely below. 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 creative work belong to the scope of protection of the present invention.

[0035] This embodiment provides a lighting system energy optimization method for controlling outdoor lamps (i.e., lighting systems) with solar-assisted power supply and intelligent adjustment control, aiming to achieve efficient energy saving and comfortable lighting through comprehensive optimization of energy utilization and intelligent adjustment control. Specifically, in a sunny environment, the outdoor lamps store energy for the lamps through photovoltaic solar panels, and at night, energy storage power supply is preferred, and AC power supply is used as an auxiliary power supply to achieve the optimal solution for energy saving.

[0036] In order to further improve the flexibility and energy efficiency of the system, this embodiment adopts an independent and group control mechanism, which can accurately control the lamp groups or a certain lamp in the same area. Specific measures include:

[0037] Independent Control:

[0038] Each lamp is equipped with an independent controller, which can adjust the brightness and switch status according to actual needs. For example, when there is less traffic at a certain lamp location, the brightness can be appropriately reduced or turned off to save energy. Each lamp is equipped with an environmental sensor (such as light sensor, temperature sensor, etc.), which can automatically adjust the brightness according to real-time environmental data to ensure lighting effects while maximizing energy saving.

[0039] Group control:

[0040] Divide multiple lamps in the same area into one group and manage the lighting of the entire area through a central control system. For example, different lighting modes can be set for the park entrance area and the pedestrian area. Dynamically adjust the brightness and switching time of each group of lamps based on factors such as crowd density, weather conditions and time. For example, during holidays or special events, the lighting brightness of certain areas can be increased to improve safety and comfort.

[0041] Through the above intelligent adjustment and control mechanism, this embodiment not only achieves efficient energy utilization, but also provides flexible intelligent adjustment and control, which can provide the most suitable lighting effect under different time and environmental conditions, significantly reduce energy consumption, and improve user comfort and satisfaction. This solution has obvious advantages in energy saving, environmental protection and intelligent management, and is suitable for various outdoor lighting scenes, such as parks, streets, squares, etc.

[0042] Figure 1 is a flow chart of a lighting system energy optimization method provided by an embodiment of the present invention. Figure 1 , specifically including:

[0043] Step 1: Develop a lighting adjustment plan based on the initial brightness of the lighting system.

[0044] Construct basic lighting indicators, emergency weather lighting adjustment indicators, and seasonal lighting adjustment indicators. Develop a basic lighting adjustment plan based on basic lighting indicators. Develop an emergency weather lighting adjustment plan based on emergency weather lighting adjustment indicators. Develop a seasonal lighting adjustment plan based on seasonal lighting adjustment indicators.

[0045] The lighting adjustment plan refers to adjusting the initial brightness of the lighting system to obtain the expected value of the lighting system; specifically, executing the basic lighting adjustment plan to adjust the initial brightness of the lighting system to obtain the basic lighting expected value of the lighting system, executing the emergency weather lighting adjustment plan to adjust the initial brightness of the lighting system to obtain the emergency weather lighting expected value, and executing the seasonal lighting adjustment plan to adjust the initial brightness of the lighting system to obtain the seasonal lighting expected value.

[0046] Furthermore, the basic lighting index includes: time interval, flow of people. The sudden weather lighting adjustment index is the sudden weather environment impact factor. The seasonal lighting adjustment index includes: seasonal environment impact factor, seasonal lighting mode.

[0047] According to the time interval and the flow of people, the initial brightness of the lighting system is adjusted to obtain a basic lighting adjustment plan: the light intensity of the current environment is obtained according to the sensor, and the time interval is determined according to the light intensity of the current environment; the flow of people in each time interval is obtained, and a threshold is constructed for the flow of people in each time interval. The threshold includes a first threshold and a second threshold. The initial brightness of the lighting system is adjusted based on the threshold to obtain a basic lighting expected value (i.e., a basic lighting adjustment plan). Specifically: when the flow of people in the current time interval is less than the first threshold, the brightness of the lighting system in the current time interval is adjusted to X times the initial brightness; when the flow of people in the current time interval is greater than or equal to the first threshold and less than the second threshold, the brightness of the lighting system in the current time interval is adjusted to Y times the initial brightness; when the flow of people in the current time interval is greater than or equal to the second threshold, the brightness of the lighting system in the current time interval is maintained at the initial brightness; X <Y。

[0048] Furthermore, sensors are installed near lamps to facilitate real-time monitoring of the light intensity of the current environment. According to the light intensity data monitored by the sensor, a day is divided into multiple time intervals, for example, morning (6:00-10:00), noon (10:00-14:00), afternoon (14:00-23:00), night (23:00-2:00), and early morning (2:00-5:00). Cameras are installed near lamps to facilitate monitoring of the flow of people in each time interval.

[0049] Among them, X is preferably 0.25, and Y is preferably 0.5. When the flow of people in the current time interval is less than the first threshold, the lighting brightness of the lighting system in the current time interval is adjusted to 0.25 times the initial brightness. When the flow of people in the current time interval is greater than or equal to the first threshold and less than the second threshold, the lighting brightness of the lighting system in the current time interval is adjusted to 0.5 times the initial brightness. This embodiment automatically adjusts the brightness of lamps and reduces energy consumption according to time intervals and corresponding flow of people. For example, in the night period from 23:00 to 2:00, the brightness of the lamps is adjusted to 0.5 times (50%) of the initial brightness; in the early morning period from 2:00 to 5:00, the brightness of the lamps is adjusted to 0.25 times (25%) of the initial brightness.

[0050] The first threshold and the second threshold are obtained by calculation: the length of each time interval is obtained according to the time interval (in hours). The time interval weight is obtained according to the cumulative use time of the lamp in each time interval and the holiday label. When the interval weight of the current time interval needs to be obtained, the historical use data of the lamp is obtained, the total use time of the lamp on that day is calculated, the cumulative use time of the current time interval is calculated, and the cumulative use time of the current time interval is normalized in combination with the total use time of the lamp on that day to obtain the cumulative use time, and whether the current time interval is a holiday is obtained. If it is a holiday, an additional value is assigned to the time interval, and the time interval weight is obtained according to the cumulative use time and the additional value. According to the flow of people in each time interval, the flow weight is obtained; the flow weight is also the value of the normalized flow of people in the current time interval according to the total flow of people on that day as the flow weight.

[0051] The first threshold and the second threshold are obtained according to the length of each time interval, the time interval weight, the pedestrian flow weight, the pedestrian flow in the time interval, and the light intensity.

[0052] ; ;

[0053] In the formula, is the first threshold, is the length of the tth time interval, is the flow of people in the tth time interval, is the light intensity in the tth time interval, is the time interval weight of the t-th time interval, is the passenger flow weight in the tth time interval, is the second threshold.

[0054] It can be seen that the first and second thresholds are calculated using the time interval length, the flow of people in the time interval, the light intensity, the time interval weight and the flow weight. The first threshold mainly reflects the basic lighting needs of the lamp under low flow conditions. By multiplying the time length and the flow of people in the time interval, and then dividing by the light intensity, a basic demand value can be obtained. This value reflects the minimum brightness required by the lamp when natural light is weak and the flow of people is small. The second threshold mainly reflects the high lighting needs of the lamp under high flow conditions. Significantly increase the threshold to ensure sufficient lighting under high flow conditions.

[0055] The expected value of sudden weather lighting (i.e., the adjustment plan for sudden weather lighting) is calculated based on the expected basic lighting value B and the sudden weather environment impact factor K. This embodiment obtains the temperature, humidity, wind speed, and rainfall of the current time interval of the area where the lamp is located from the meteorological station, and normalizes and sums the temperature, humidity, wind speed, and rainfall to obtain the sudden weather environment impact value of the current time interval. . And calculate the maximum value of the historical environmental impact of sudden weather in each historical time interval The sudden weather environment impact factor K is calculated based on the maximum historical environmental impact value of sudden weather and the sudden weather environment impact value of the current time interval.

[0056] , ;

[0057] In this embodiment, the expected value A of sudden weather lighting is calculated according to the above formula to obtain the sudden weather lighting adjustment plan, that is, the initial brightness is adjusted to the expected value A of sudden weather lighting, thereby obtaining the sudden weather lighting adjustment plan.

[0058] According to the seasonal environmental impact factor, the seasonal lighting mode and the basic lighting expected value, the seasonal lighting expected value (i.e., the seasonal lighting adjustment plan) is calculated. The historical light intensity data of the lamps are collected and the historical maximum light intensity of each season is determined from the historical light intensity data. The seasonal environmental impact factor of the current season is calculated according to the ratio of the maximum light intensity of the current season to the historical maximum light intensity of the current season. In this embodiment, different seasonal coefficients are set for each season according to seasonal characteristics, and the seasonal lighting mode is calculated based on the seasonal coefficient and the seasonal environmental impact factor. Specifically, the days in spring gradually become longer and the natural light gradually increases. Preferably, the seasonal coefficient of spring is assigned 1.2. The days in summer are the longest and the natural light is the most abundant. Preferably, the seasonal coefficient of summer is assigned 1.4. The days in autumn gradually become shorter and the natural light gradually decreases. Preferably, the seasonal coefficient of autumn is assigned 0.9. The days in winter are the shortest and the natural light is the least. Preferably, the seasonal coefficient of winter is assigned 0.5. Finally, based on the seasonal environmental influencing factors, seasonal lighting patterns and basic lighting expected values ​​of each season, the corresponding seasonal brightness values ​​(seasonal lighting expected values) are calculated, and the initial brightness values ​​are adjusted to the seasonal brightness values ​​to obtain the seasonal lighting adjustment plan.

[0059] Step 2: preset the ideal power consumption. According to the lighting adjustment plan, the environmental impact factor, expected value, and seasonal light pattern factor of the lighting system are obtained, and the actual power consumption of the lighting system is determined according to the lighting adjustment plan.

[0060] This embodiment presets an ideal power consumption for the lamp as a standard for evaluating and adjusting the performance of the lamp. The ideal power consumption can be set according to the maximum power of the lamp and the expected usage. For example, if the lamp is used for nighttime lighting and it is desired to achieve energy saving while ensuring the lighting quality, the ideal power consumption is set to half of the maximum power; the lamp is used during the day to supplement natural lighting, especially on cloudy days or when there is insufficient light indoors, so the ideal power consumption should be lower to maximize the use of natural lighting, and the ideal power consumption is set to one-fifth of the maximum energy consumption.

[0061] Execute the basic lighting adjustment plan, and the lighting brightness obtained after adjusting the lighting system is the basic lighting expected value B; the actual power consumption of the lighting system under the basic lighting adjustment plan is obtained based on the basic lighting expected value. The actual power consumption of the lighting system under the sudden weather lighting adjustment plan is obtained based on the sudden weather lighting expected value A. The seasonal lighting expected value (i.e., seasonal brightness value) is obtained based on the seasonal lighting adjustment plan, and the actual power consumption of the lighting system under the seasonal lighting adjustment plan is obtained based on the seasonal lighting expected value.

[0062] The actual power consumption of this embodiment is obtained by multiplying the expected value obtained by the current lighting plan by the maximum power of the lamp.

[0063] Step 3: According to the ideal power consumption, actual power consumption, environmental impact factors, expected values, and seasonal light pattern factors, a comprehensive evaluation model is constructed, and the comprehensive evaluation model is minimized to obtain the optimal lighting strategy.

[0064] ;

[0065] In the formula, As a comprehensive evaluation indicator, The actual power consumption of the i-th lighting adjustment plan, For ideal power consumption, is the environmental impact factor of the i-th lighting adjustment plan, is the expected value of the i-th lighting adjustment plan, is the seasonal light pattern factor of the i-th lighting adjustment plan, N is the maximum number of lighting adjustment plans, , , Represent the adjustment coefficients respectively.

[0066] The purpose of this comprehensive evaluation model is to find the optimal lighting strategy, that is, to reduce energy consumption and improve energy efficiency as much as possible while meeting various constraints. Specifically, by substituting the parameter values ​​under different lighting plans into the formula, the parameter value corresponding to the minimum value of the comprehensive evaluation index is solved, so as to determine the optimal lighting strategy. This comprehensive evaluation model is the best balance point after comprehensive consideration of multiple factors, and the optimal lighting strategy is determined based on the best balance point. The optimal lighting strategy includes the actual power consumption and / or sudden weather environment influencing factors or seasonal environment influencing factors or positive lighting mode factors and expected values ​​under the current lighting plan. The most optimal lighting strategy obtained based on this embodiment can meet the requirements of energy saving and environmental protection in subsequent time intervals and / or sudden weather and / or seasonal use, and can also meet various needs of actual use.

[0067] like Figure 2 As shown, this embodiment also discloses a lighting system energy optimization system, including the following modules:

[0068] Lighting brightness adjustment module: used to formulate lighting adjustment plans based on the initial brightness of the lighting system;

[0069] Index establishment module: connected with the lighting brightness adjustment module, used to preset the ideal power consumption; obtain the environmental impact factor, expected value, and seasonal light mode factor of the lighting system according to the lighting adjustment plan, and determine the actual power consumption of the lighting system according to the lighting adjustment plan;

[0070] Optimal lighting strategy determination module: connected to the indicator establishment module, used to build a comprehensive evaluation model based on ideal power consumption, actual power consumption, environmental impact factors, expected values, and seasonal light pattern factors, minimize the comprehensive evaluation model, and obtain the optimal lighting strategy.

[0071] Figure 3 Schematic diagram of the structure of an electronic device provided by the present invention. Figure 3 As shown, the electronic device 500 includes one or more processors 501 and a memory 502 .

[0072] The processor 501 may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device 500 to perform desired functions.

[0073] The memory 502 may include one or more computer program products, and the computer program product may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 501 may execute the program instructions to implement a lighting system energy optimization method and / or other desired functions of any embodiment of the present application described above. Various contents such as initial external parameters, thresholds, etc. may also be stored in the computer-readable storage medium.

[0074] In one example, the electronic device 500 may further include: an input device 503 and an output device 504, which are interconnected via a bus system and / or other forms of connection mechanisms (not shown). The input device 503 may include, for example, a keyboard, a mouse, etc. The output device 504 may output various information to the outside, including early warning prompt information, braking force, etc. The output device 504 may include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto, etc.

[0075] Of course, to simplify, Figure 3 Only some of the components related to the present application in the electronic device 500 are shown, and components such as a bus, an input / output interface, etc. are omitted. In addition, according to specific application situations, the electronic device 500 may also include any other appropriate components.

[0076] In addition to the above-mentioned methods and devices, an embodiment of the present application may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of a lighting system energy optimization method provided in any embodiment of the present application.

[0077] The computer program product may be written in any combination of one or more programming languages ​​to write program codes for performing the operations of the embodiments of the present application, including object-oriented programming languages, such as Java, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0078] In addition, an embodiment of the present application may also be a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the processor executes the steps of a lighting system energy optimization method provided by any embodiment of the present application.

[0079] The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0080] It should be noted that the terms used in the present invention are only for describing specific embodiments, rather than limiting the scope of the present application. As shown in the present specification, unless the context clearly indicates an exception, the words "one", "a", "a kind of" and / or "the" do not specifically refer to the singular, but may also include the plural. The terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method or device. In the absence of more restrictions, the elements defined by the sentence "include one..." do not exclude the presence of other identical elements in the process, method or device including the elements.

[0081] It should also be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", etc. should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0082] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.

Claims

1. A lighting system energy optimization method, characterized in that: include: Step 1, formulate a lighting adjustment plan based on the initial brightness of the lighting system; Construct basic lighting indicators, emergency weather lighting adjustment indicators, and seasonal lighting adjustment indicators; Formulate basic lighting adjustment plans based on basic lighting indicators; formulate emergency weather lighting adjustment plans based on emergency weather lighting adjustment indicators; Formulate seasonal lighting adjustment plans based on seasonal lighting adjustment indicators; The lighting adjustment plan refers to adjusting the initial brightness of the lighting system to obtain the expected value of the lighting system; specifically, executing the basic lighting adjustment plan to adjust the initial brightness of the lighting system to obtain the basic lighting expected value of the lighting system, executing the sudden weather lighting adjustment plan to adjust the initial brightness of the lighting system to obtain the sudden weather lighting expected value, and executing the seasonal lighting adjustment plan to adjust the initial brightness of the lighting system to obtain the seasonal lighting expected value; Step 2, preset ideal power consumption; Obtain the environmental impact factor, expected value, and seasonal light pattern factor of the lighting system according to the lighting adjustment plan, and determine the actual power consumption of the lighting system according to the lighting adjustment plan; Step 3: According to the ideal power consumption, actual power consumption, environmental impact factors, expected values, and seasonal light pattern factors, a comprehensive evaluation model is constructed, and the comprehensive evaluation model is minimized to obtain the optimal lighting strategy.

2. The lighting system energy optimization method according to claim 1, characterized in that: The basic lighting indicators include: time interval, flow of people; According to the time interval and the flow of people, the initial brightness of the lighting system is adjusted to obtain the basic lighting expected value: the light intensity of the current environment is obtained according to the sensor; the time interval is determined according to the light intensity of the current environment; the flow of people in each time interval is obtained, and a threshold is constructed for the flow of people in each time interval, and the initial brightness of the lighting system is adjusted based on the threshold to obtain the basic lighting expected value; the actual power consumption of the lighting system is calculated according to the basic lighting expected value.

3. The lighting system energy optimization method according to claim 2, characterized in that: The threshold comprises a first threshold and a second threshold; The initial brightness of the lighting system is adjusted based on the threshold, specifically: when the flow of people in the current time interval is less than the first threshold, the brightness of the lighting system in the current time interval is adjusted to X times the initial brightness; when the flow of people in the current time interval is greater than or equal to the first threshold and less than the second threshold, the brightness of the lighting system in the current time interval is adjusted to Y times the initial brightness; when the flow of people in the current time interval is greater than or equal to the second threshold, the brightness of the lighting system in the current time interval is maintained at the initial brightness; X <Y。 4. The lighting system energy optimization method according to claim 3, characterized in that: Obtain the length of each time interval and the weight of the time interval; obtain the weight of the flow of people according to the flow of people in each time interval; obtain the first threshold and the second threshold according to the length of each time interval, the weight of the time interval, the weight of the flow of people, the flow of people in the time interval, and the light intensity.

5. The lighting system energy optimization method according to claim 4, characterized in that: The first threshold is: ； In the formula, is the first threshold, is the length of the tth time interval, is the flow of people in the tth time interval, is the light intensity in the tth time interval, is the time interval weight of the tth time interval, is the passenger flow weight in the tth time interval.

6. A lighting system energy optimization method according to claim 5, characterized in that: The second threshold is: ； In the formula, is the second threshold.

7. A lighting system energy optimization method according to claim 6, characterized in that: The weather emergency lighting adjustment index is the weather emergency environment impact factor; The expected value of sudden weather lighting is obtained based on the expected value of basic lighting and the impact factor of sudden weather environment; the actual power consumption of the lighting system is calculated based on the expected value of sudden weather lighting.

8. The lighting system energy optimization method according to claim 7, characterized in that: The seasonal lighting adjustment index includes: seasonal environmental impact factors and seasonal lighting patterns; According to the seasonal environmental influencing factors, seasonal lighting patterns and basic lighting expected values, the seasonal lighting expected values ​​are obtained, and the actual power consumption of the lighting system is calculated based on the seasonal lighting expected values.

9. The lighting system energy optimization method according to claim 7, characterized in that: The comprehensive evaluation model is: ； In the formula, As a comprehensive evaluation indicator, The actual power consumption of the i-th lighting adjustment plan, For ideal power consumption, is the environmental impact factor of the i-th lighting adjustment plan, is the expected value of the i-th lighting adjustment plan, is the seasonal light pattern factor of the i-th lighting adjustment plan, N is the maximum number of lighting adjustment plans, , , Represent the adjustment coefficients respectively.

10. A lighting system energy optimization system, applied to a lighting system energy optimization method according to any one of claims 1 to 9, characterized in that: Includes the following modules: Lighting brightness adjustment module: used to formulate lighting adjustment plans based on the initial brightness of the lighting system; Index establishment module: connected with the lighting brightness adjustment module, used to preset the ideal power consumption; Obtain the environmental impact factor, expected value, and seasonal light pattern factor of the lighting system according to the lighting adjustment plan, and determine the actual power consumption of the lighting system according to the lighting adjustment plan; Optimal lighting strategy determination module: connected to the indicator establishment module, used to build a comprehensive evaluation model based on ideal power consumption, actual power consumption, environmental impact factors, expected values, and seasonal light pattern factors, minimize the comprehensive evaluation model, and obtain the optimal lighting strategy.

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