CN113627039B - Method and device for predicting energy consumption of lighting system and storage medium - Google Patents
Method and device for predicting energy consumption of lighting system and storage medium Download PDFInfo
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Abstract
The application discloses a method and a device for predicting energy consumption of a lighting system and a storage medium, and relates to the field of lamps. The method comprises the following steps: acquiring a historical loss value of the lamp; predicting the residual life values of the lamps of all the lamps according to the historical loss values of the lamps; and adjusting the use strategy of the lamp according to the residual service life value of the lamp. The technical problem that the service life of an LED screen is short in a lighting system using the LED screen is solved.
Description
Technical Field
The present application relates to the field of lighting technologies, and in particular, to a method and an apparatus for predicting energy consumption of a lighting system, and a storage medium.
Background
For the sake of attractiveness, LED screens are distributed on the outer walls of a plurality of urban buildings, the screens are formed by the LED lamps in a gathering mode, and different light colors are displayed on the outer walls of the buildings; to take full advantage of the LED screen, many businesses place programs on the LED screen.
The principle of program delivery on the existing LED screen is that a lamp coordinate is associated with a screen coordinate through a lamp distribution graph, and a lamp display pattern is controlled through the screen coordinate of a lamp needing to be on in each frame of the program.
In the process of implementing the present application, the inventor finds that at least the following problems exist in the prior art: the light source brightness of the lamp is attenuated along with the on-off times of the lamp, the light source brightness attenuation degree of the lamp determines the remaining service life of the lamp, the more the on-off times of the lamp are, the more the attenuation of the light source of the lamp is, the shorter the remaining service life of the lamp is, and the coordinates of the lamp screen needing to be on and off in each frame of different programs are different, so that the on-off times of all the lamps in the same program are different, and the service lives of the lamps on the LED screen positioned on the outer wall of the same building are different.
Disclosure of Invention
Therefore, the embodiment of the application provides a method and a device for predicting energy consumption of a lighting system, a computer device and a storage medium, which can solve the technical problem that the service life of an LED screen in the lighting system using the LED screen is short, and the specific technical scheme content is as follows:
in a first aspect, an embodiment of the present application provides a method for predicting energy consumption of a lighting system, the method including:
acquiring a historical loss value of the lamp;
predicting the residual life values of the lamps of all the lamps according to the historical loss values of the lamps;
and adjusting the use strategy of the lamp according to the residual service life value of the lamp.
By adopting the technical scheme, the historical loss value of the lamp is calculated, so that the residual life value of the lamp is obtained, when the system is used for playing programs, the use strategy of the lamp is adjusted according to the residual life value of the lamp, the lamp is used according to different strategies, the service lives of the system lamps are balanced, and the service life of the system and the service rates of the lamps in the system are prolonged.
Preferably, the usage strategy of the lamp comprises:
calculating the lamp energy consumption value of the lamp needed to be used in each frame of the program;
calculating the total program energy consumption of the corresponding lamp in the program according to the lamp energy consumption value;
and adjusting the played program according to the residual life value of the lamp and the total energy consumption of the program.
By adopting the technical scheme, the program calculates the loss value of the lamp according to each frame, so that the lamp loss can be accurately calculated, and the calculation is simpler.
Preferably, the method further comprises:
calculating according to the total program energy consumption of all lamps in the program to generate program energy consumption data;
sequencing the program energy consumption data of all programs to generate a sequencing list;
acquiring the residual electric quantity of the system;
and selecting the program to be played from the sorting list according to the residual electric quantity of the system.
By adopting the technical scheme, reasonable program playing can be selected according to the system residual electric quantity and the program energy consumption data, the interruption condition of program playing is reduced, and resources are reasonably distributed.
Preferably, the formula for calculating the lamp energy consumption value of the lamp needed to be used in each frame of the program is as follows:
wherein k is a positive integer, Pk is a lamp energy consumption value of a program of a kth frame, M is a total number of lamps used in the kth frame, i is a positive integer, i is a lamp sequence number in the kth frame, Dik is a lamp brightness level parameter numbered as i in the kth frame, S is a lamp maximum brightness level parameter, and tK is a kth frame time length; w0 is the power of the signaling device; p0 is the signal equipment energy consumption value of the program of the k frame, and P is the total system energy consumption value of the program of the k frame.
Preferably, the obtaining the historical loss value of the lamp comprises:
acquiring all the use durations of all the lamps and the lamp brightness values related to the use durations;
calculating the lamp loss through the use duration and the lamp brightness value;
and calculating a historical loss value according to the lamp loss.
By adopting the technical scheme, the lamp loss is calculated according to the service life and the lamp brightness value, so that the lamp loss can be quantized, the residual service life value of the lamp can be conveniently predicted, and the calculation is simple and convenient.
Preferably, the method further comprises:
counting the energy consumption data of the programs played in a preset cycle period;
obtaining the electricity cost of the preset cycle period according to the statistical result;
and predicting the annual power utilization cost according to the power utilization cost and the cycle number of the preset cycle period.
By adopting the technical scheme, the annual power consumption cost of one year can be predicted through the program energy consumption data, so that the generated data can be applied to more aspects, the application field is wider, and the resource allocation can be performed in advance through predicting the annual power consumption cost, thereby facilitating the resource management.
Preferably, the selecting the program to be played by the sorting table according to the system remaining power includes:
generating a program playing combination according to the system residual electric quantity and the sequencing list;
calculating the sum of the total program energy consumption of the lamps used in each program playing combination;
and selecting the played program according to the remaining life value of the lamp and the sum of the total energy consumption of the program.
By adopting the technical scheme, the relation between the residual electric quantity of the system and the residual service life value of the lamp is balanced, so that the rule of playing programs by the system is reasonable, and the service life of the system is prolonged.
In a second aspect, an embodiment of the present application provides an apparatus for predicting energy consumption of a lighting system, the apparatus including:
the calculation module is used for acquiring the historical loss value of the lamp;
the prediction module is used for predicting the residual life values of the lamps of all the lamps according to the historical loss values of the lamps;
the control module is used for adjusting the use strategy of the lamp according to the residual service life value of the lamp;
the usage strategy of the lamp comprises the following steps:
calculating the lamp energy consumption value of the lamp needed to be used in each frame of the program;
calculating the total program energy consumption of the corresponding lamp in the program according to the lamp energy consumption value;
and adjusting the played program according to the residual life value of the lamp and the total energy consumption of the program.
In a third aspect, embodiments of the present application provide a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor, when executing the computer program, implements the steps of the method for predicting energy consumption of a lighting system according to any one of the preceding claims.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the steps of the method for predicting energy consumption of a lighting system according to any one of the preceding claims.
In summary, compared with the prior art, the beneficial effects brought by the technical scheme provided by the embodiment of the present application at least include:
1. calculating the historical loss value of the lamp, so as to obtain the residual life value of the lamp, and when the system is used for playing programs, adjusting the use strategy of the lamp according to the residual life value of the lamp, so that the lamp can be used according to different strategies, thereby balancing the service life of the system lamp, and prolonging the service life of the system and the service rate of the lamp therein;
2. the program calculates the loss value of the lamp according to each frame, so that the lamp loss can be accurately calculated, and the calculation is simpler;
3. the annual power consumption cost of one year can be predicted through the program energy consumption data, so that the generated data can be applied to more aspects, the application field is wider, and the resource allocation can be performed in advance through predicting the annual power consumption cost, so that the resource management is facilitated.
Drawings
Fig. 1 is a schematic flowchart of a method for predicting energy consumption of a lighting system according to an embodiment of the present disclosure.
Fig. 2 is a schematic flowchart of a method for predicting energy consumption of a lighting system according to another embodiment of the present disclosure.
Fig. 3 is a second schematic flowchart of a method for predicting energy consumption of a lighting system according to another embodiment of the present application.
Fig. 4 is a third schematic flowchart of a method for predicting energy consumption of a lighting system according to another embodiment of the present application.
Fig. 5 is a fourth flowchart illustrating a method for predicting energy consumption of a lighting system according to another embodiment of the present application.
Fig. 6 is a fifth flowchart illustrating a method for predicting energy consumption of a lighting system according to another embodiment of the present application.
Detailed Description
The present embodiment is only for explaining the present application, and it is not limited to the present application, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present application.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiments of the present application will be described in further detail with reference to the drawings attached hereto.
In the research on the relationship between the use state of the lamp and the service life of the lamp for a long time, the service life of the lamp is found to be related to the attenuation of the light source brightness of the lamp, and the more the accumulated use time of the lamp is, the faster the light source attenuation of the lamp is; the larger the brightness of the lamp is, the larger the attenuation of the light source of the lamp is, so that the loss condition of the lamp can be obtained by calculating the brightness and the service time of the lamp.
Referring to fig. 1, in an embodiment of the present application, a method for predicting energy consumption of a lighting system is provided, the main steps of the method are described as follows:
s1: acquiring a historical loss value of the lamp;
s2: predicting the residual life values of the lamps of all the lamps according to the historical loss values of the lamps;
s3: and adjusting the use strategy of the lamp according to the residual service life value of the lamp.
Specifically, in this embodiment, when the lamp is produced, the lamp is tested, and the specific test mode may be that the lamp is continuously turned on and off for many times under the condition that the brightness of the lamp is maximum until the lamp cannot be normally used, and the product of the turn-on duration of the lamp and the maximum brightness of the lamp is recorded as the initial factory life of the lamp.
In this embodiment, the sum of the historical power consumption of the lamp is used.
The residual life value of the lamp is the difference value between the initial factory life of the lamp and the historical loss value.
In this application, a usage policy of a luminaire is a method of how to adjust the usage of the luminaire, such as logic to select which luminaire to use for lighting.
For example, usage strategy 1 of the luminaire: counting the residual life values of the lamps of all the lamps on the LED screen, and starting the lamps with longer residual life to illuminate when the LED screen is only needed to realize the illuminating function, so that the residual life values of the lamps on the LED screen are balanced; and adjusting the lamp for illumination through the change of the residual life value of the lamp.
Usage strategy of the luminaire 2: the method comprises the steps of counting lamp residual life values of all lamps on an LED screen, broadcasting programs when the LED screen is needed, obtaining screen coordinates of the lamps needed to be used by each program, and selecting the programs with more residual life to be played according to the lamp residual life values of the lamps so as to balance the lamp residual life values of the lamps on the LED screen, improve the service rate of the lamps and prolong the service life of the LED screen.
Referring to fig. 2, alternatively, in another embodiment, the step S1 includes:
s11: acquiring all the use durations of all the lamps and the lamp brightness values related to the use durations;
s12: calculating the lamp loss through the use duration and the lamp brightness value;
s13: and calculating a historical loss value according to the lamp loss.
In the using process of the lamp, the using time of the lamp and the corresponding lamp brightness are recorded in real time, the lamp loss value = the lamp brightness and the using time, and the historical loss value is accumulated for the lamp loss of each use of the lamp.
Referring to fig. 3, optionally, in other embodiments, the usage strategy of the luminaire includes:
s31: calculating the lamp energy consumption value of the lamp needed to be used in each frame of the program;
s32: calculating the total program energy consumption of the corresponding lamp in the program according to the lamp energy consumption value;
s33: and adjusting the played program according to the residual life value of the lamp and the total energy consumption of the program.
Specifically, the present embodiment can be applied to lighting systems, such as an LED lighting system on an outer wall of a building, a billboard display system on a roadside, and the like. In this embodiment, a program is produced in a video file format, each frame in the program is used as a minimum calculation unit, and a lamp energy consumption value of a lamp used in the frame of program is calculated by obtaining a screen coordinate of the lamp to be used in each frame of program and a lamp brightness level associated with the lamp coordinate, where the lamp energy consumption value is an energy consumption value of a certain lamp used in the frame. The energy consumption value of a certain lamp used by the frame is the product of the duration of the frame and the brightness level of the lamp.
Calculating the sum of the energy consumption values of the lamps used in all the frames of the program as the total energy consumption of the program, which is the total energy consumption of a single lamp in the program, for example, when the lamps used in the program are labeled by the arabic number, and the lamps with the numbers 1, 3, and 5 are used in the program, the total energy consumption of the program is respectively: the lamp with the serial number 1 consumes the total energy of the program, the lamp with the serial number 3 consumes the total energy of the program, and the lamp with the serial number 5 consumes the total energy of the program.
The method for adjusting the programs played by the LED screen comprises the following steps: before a program is played, obtaining the residual life value of the lamps of each lamp on the current LED screen, sequencing the residual life values of the lamps of each lamp from small to large, subtracting the total energy consumption of the corresponding program from the residual life value of the lamps of each lamp to calculate the residual life value of the estimated lamp, calculating the average value of the residual life values of the estimated lamps of each lamp in the LED screen, calculating the variance between the residual life value of the estimated lamp and the average value, and selecting a group of programs with the minimum variance as the currently played program.
In other embodiments, the method for adjusting the program played by the LED screen may also be: before a program is played, obtaining the lamp residual life values of all lamps on a current LED screen, sorting the lamp residual life values of all lamps from small to large to form a lamp life sorting table, setting a weight value for each lamp in each sequential position according to the sorting, for example, the LED screen has 100 lamps, the lamp with the minimum lamp residual life value has a weight value of 100, the lamp with the second smallest residual life value has a weight value of 99, and the lamp with the third smallest residual life value has a weight value of 98, and so on, calculating the sum of the weight values of the lamps used in the program, and selecting the program with the largest weight value to play.
Optionally, in another embodiment, the formula for calculating the lamp energy consumption value of the lamp needed to be used in each frame of the program is as follows:
wherein k is a positive integer, Pk is a lamp energy consumption value of a program of a kth frame, M is a total number of lamps used in the kth frame, i is a positive integer, i is a lamp sequence number in the kth frame, Dik is a lamp brightness level parameter numbered as i in the kth frame, S is a lamp maximum brightness level parameter, and tK is a kth frame time length; w0 is the power of the signaling device; p0 is the signal equipment energy consumption value of the program of the k frame, and P is the total system energy consumption value of the program of the k frame.
The way of using i as the serial number of the lamps used in the k frame is as follows: assuming that 6 lamps are used in the kth frame, the lamps are respectively marked as lamp 1, lamp 2, lamp 3, lamp 4, lamp 5 and lamp 6, and the numbered lamps are associated with the screen coordinates of the lamps.
In this embodiment, it is assumed that the lamp is a rgb full-color lamp, the brightness level of each color of rgb is 0 to 255, and the maximum brightness level parameter of the lamp is S =255 × 255; if the lamp is a monochrome lamp, the brightness level of the monochrome lamp is 0-255, and the maximum brightness level parameter of the lamp is S = 255.
Referring to fig. 4, optionally, in another embodiment, the method further includes:
s4: calculating according to the total program energy consumption of all lamps in the program to generate program energy consumption data;
s5: sequencing the program energy consumption data of all programs to generate a sequencing list;
s6: acquiring the residual electric quantity of the system;
s7: and selecting the program to be played from the sorting list according to the residual electric quantity of the system.
Specifically, in this embodiment, the program energy consumption data is the sum of the total energy consumption of the programs of all the lamps used in the program.
For an LED lighting system (hereinafter referred to as a system), the number of programs played by the system is usually several, and the sorting table is sorted from small to large according to the energy consumption data of the programs.
In order to save energy and/or avoid the power failure of the LED screen during power failure, a storage battery is usually installed in the system, and the remaining power of the system is the remaining power of the storage battery; when the LED screen is powered by the storage battery, the residual capacity of the storage battery is acquired in real time and is marked as the system residual capacity. When the residual electric quantity of the system is large and the program with the maximum program energy consumption data in the sorting list is used, the played program can be freely adjusted according to the requirement of a user; and if the residual electric quantity of the system is less than the program energy consumption data of any program in the sequencing list, selecting any program with the program energy consumption data less than the residual electric quantity of the system to play, and reducing the condition that the LED screen is powered off when the program is not completely played.
Referring to fig. 5, alternatively, in another embodiment, the step S7 includes:
s71: generating a program playing combination according to the system residual electric quantity and the sequencing list;
s72: calculating the sum of the total program energy consumption of the lamps used in each program playing combination;
s73: and selecting the played program according to the remaining life value of the lamp and the sum of the total energy consumption of the program.
Specifically, in this embodiment, the program playing combinations are generated according to the system remaining power, so that the total program energy consumption data of each program playing combination is smaller than the system remaining power.
The method comprises the steps of obtaining total program energy consumption of lamps used in each program playing combination, obtaining residual lamp life values of the lamps on a current LED screen before playing the programs, sequencing the residual lamp life values of the lamps from small to large, calculating a predicted residual lamp life value after subtracting the total program energy consumption in the corresponding program playing combination from the residual lamp life value of the lamps used, calculating an average value of the predicted residual lamp life values of the lamps in the LED screen, calculating a variance between the predicted residual lamp life value and the average value, and selecting a group of programs with the smallest variance as the programs played currently.
Referring to fig. 6, optionally, in another embodiment, the method further includes:
s8: counting program energy consumption data of programs played in a preset cycle period;
s9: obtaining the electricity cost of the preset cycle period according to the statistical result;
s10: and predicting the annual power utilization cost according to the power utilization cost and the cycle number of the preset cycle period.
Specifically, in the present embodiment, the predetermined cycle period is one day, but may be one month, one year, or the like. In the present embodiment, the predetermined cycle is the same for each program broadcast, but in other embodiments, the programs broadcast by the LEDs in this cycle may be the same every day; and counting the program energy consumption data in the preset cycle period into accumulating the program energy consumption data of all the programs played in the preset cycle period.
And calculating the power consumption cost in the cycle period according to the corresponding relation between the program energy consumption data and the power consumption, and calculating that a plurality of cycle periods exist in one year so as to predict the annual power consumption cost of one year.
For example, the following steps are carried out: assuming that G programs are played F times in a cycle one day, and assuming that the program energy consumption data of the program j is Pj, the energy consumption PT of the cycle period is:
it should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In an embodiment of the present application, a device for predicting energy consumption of a lighting system is provided, where the device for predicting energy consumption of a lighting system corresponds to the method for predicting energy consumption of a lighting system in the above embodiment one to one. The device for predicting the energy consumption of the lighting system comprises:
the calculation module is used for acquiring the historical loss value of the lamp;
the prediction module is used for predicting the residual life values of the lamps of all the lamps according to the historical loss values of the lamps;
the control module is used for adjusting the use strategy of the lamp according to the residual service life value of the lamp;
the use strategy of the lamp comprises the following steps:
calculating the lamp energy consumption value of the lamp needed to be used in each frame of the program;
calculating the total program energy consumption of the corresponding lamp in the program according to the lamp energy consumption value;
and adjusting the played program according to the residual life value of the lamp and the total energy consumption of the program.
The above prediction device for energy consumption of the lighting system can be implemented in whole or in part by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment of the embodiments of the present application, a computer device is provided, which may be a server. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device may be implemented by any type of volatile or non-volatile storage devices, including but not limited to: magnetic disk, optical disk, EEPROM (Electrically-Erasable Programmable Read Only Memory), EPROM (Erasable Programmable Read Only Memory), SRAM (Static Random Access Memory), ROM (Read-Only Memory), magnetic Memory, flash Memory, PROM (Programmable Read-Only Memory). The memory of the computer device provides an environment for the running of an operating system and computer programs stored within it. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when being executed by a processor, implements the method steps for predicting the energy consumption of a lighting system according to the above embodiments.
In an embodiment of the present application, a computer-readable storage medium is provided, which stores a computer program, which when executed by a processor implements the steps of the method for predicting energy consumption of a lighting system according to the above-mentioned embodiment. The computer-readable storage medium includes a ROM (Read-only memory), a RAM (Random-access memory), a CD-ROM (compact disc-Read-only memory), a magnetic disk, a floppy disk, and the like.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of each functional unit or module is illustrated, and in practical applications, the above-mentioned function may be distributed as different functional units or modules as required, that is, the internal structure of the apparatus described in this application may be divided into different functional units or modules to implement all or part of the above-mentioned functions.
Claims (9)
1. A method for predicting energy consumption of a lighting system, the method comprising:
acquiring a historical loss value of the lamp, wherein the historical loss value is accumulated by lamp loss of the lamp used each time, and the lamp loss value = lamp brightness and using time;
predicting the residual life values of the lamps of all the lamps according to the historical loss values of the lamps, wherein the residual life values of the lamps are the difference values between the initial factory life of the lamps and the historical loss values;
adjusting the use strategy of the lamp according to the residual life value of the lamp;
the usage strategy of the lamp comprises the following steps:
calculating the lamp energy consumption value of the lamp needed to be used in each frame of the program, wherein the lamp energy consumption value of the frame is the sum of the energy consumption values of all lamps used in the frame;
calculating the total program energy consumption of the corresponding lamp in the program according to the lamp energy consumption value;
and adjusting the played program according to the residual life value of the lamp and the total energy consumption of the program.
2. The method for predicting energy consumption of a lighting system according to claim 1, wherein the method further comprises:
calculating according to the total program energy consumption of all lamps in the program to generate program energy consumption data;
sequencing the program energy consumption data of all programs to generate a sequencing list;
acquiring the residual electric quantity of the system;
and selecting the program to be played from the sorting list according to the residual electric quantity of the system.
3. The method for predicting energy consumption of a lighting system according to claim 1, wherein the formula for calculating the lamp energy consumption value of the lamp to be used in each frame of the program is as follows:
wherein k is a positive integer, Pk is a lamp energy consumption value of a program of a kth frame, M is a total number of lamps used in the kth frame, i is a positive integer, i is a lamp sequence number in the kth frame, Dik is a lamp brightness level parameter numbered as i in the kth frame, S is a lamp maximum brightness level parameter, and tk is a kth frame time length; w0 is the power of the signaling device; p0 is the signal equipment energy consumption value of the program of the k frame, and P is the total system energy consumption value of the program of the k frame.
4. The method for predicting energy consumption of a light lighting system according to claim 1, wherein the obtaining of the historical loss value of the lamp comprises:
acquiring all the use durations of all the lamps and the lamp brightness values related to the use durations;
calculating the lamp loss through the use duration and the lamp brightness value;
and calculating a historical loss value according to the lamp loss.
5. The method for predicting energy consumption of a lighting system according to claim 2, wherein the method further comprises:
counting the energy consumption data of the programs played in a preset cycle period;
obtaining the electricity cost of the preset cycle period according to the statistical result;
and predicting the annual power utilization cost according to the power utilization cost and the cycle number of the preset cycle period.
6. The method for predicting energy consumption of a lighting system according to claim 2, wherein the selecting the program to be played according to the system residual capacity by the sorting table comprises:
generating a program playing combination according to the system residual electric quantity and the sequencing list;
calculating the sum of the total program energy consumption of the lamps used in each program playing combination;
and selecting the played program according to the remaining life value of the lamp and the sum of the total energy consumption of the program.
7. An apparatus for predicting energy consumption of a lighting system, the apparatus comprising:
the calculation module is used for acquiring historical loss values of the lamps, the historical loss values are accumulated in the loss of the lamps used by the lamps each time, and the lamp loss values = the brightness of the lamps and the service time;
the prediction module is used for predicting the residual life values of the lamps of all the lamps according to the historical loss values of the lamps, wherein the residual life values of the lamps are the difference values of the initial factory life of the lamps and the historical loss values;
the control module is used for adjusting the use strategy of the lamp according to the residual service life value of the lamp;
the usage strategy of the lamp comprises the following steps:
calculating the lamp energy consumption value of the lamp needed to be used in each frame of the program, wherein the lamp energy consumption value of the frame is the sum of the energy consumption values of all lamps used in the frame;
calculating the total program energy consumption of the corresponding lamp in the program according to the lamp energy consumption value;
and adjusting the played program according to the residual life value of the lamp and the total energy consumption of the program.
8. Computer arrangement, characterized in that it comprises a memory, a processor and a computer program stored in said memory and running on said processor, said processor implementing the steps of the method for predicting the energy consumption of a lighting system according to any of claims 1-6 when executing said computer program.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when being executed by a processor, carries out the steps of the method for predicting energy consumption of a lighting system according to any one of claims 1 to 6.
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| CN202111179088.4A CN113627039B (en) | 2021-10-11 | 2021-10-11 | Method and device for predicting energy consumption of lighting system and storage medium |
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