CN116756469B - Outdoor lighting lamp optimization management system - Google Patents
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- 230000033228 biological regulation Effects 0.000 claims abstract description 342
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- 238000007726 management method Methods 0.000 description 20
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- 238000005265 energy consumption Methods 0.000 description 6
- 238000010606 normalization Methods 0.000 description 6
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
- H05B47/11—Controlling the light source in response to determined parameters by determining the brightness or colour temperature of ambient light
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/155—Coordinated control of two or more light sources
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/165—Controlling the light source following a pre-assigned programmed sequence; Logic control [LC]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Abstract
The invention relates to the technical field of equipment adjustment control, in particular to an outdoor lighting lamp optimization management system, which is used for acquiring the natural illuminance of each sub-regulation area in an area to be regulated at the current moment and judging whether regulation is needed at the current moment; if the regulation exists, determining illumination fitness in the current regulation, and further determining self-adaptive inertia weight in the current regulation; updating and regulating by utilizing the self-adaptive inertia weight, and determining an objective function value in the next regulation; and continuously regulating and controlling until the regulating and controlling times reach the preset regulating and controlling times, and controlling each lamp in the to-be-regulated area at the current moment by taking the illumination parameter of each lamp corresponding to the minimum objective function value as the optimal illumination parameter. The particle swarm optimization method improves the particle swarm optimization, improves the optimizing capability of the particle swarm optimization, is beneficial to enhancing the effect of lighting lamp management, and is mainly applied to the field of lighting equipment management.
Description
Technical Field
The invention relates to the technical field of equipment regulation control, in particular to an outdoor lighting lamp optimization management system.
Background
With the development of science and technology, the illumination needs of the illumination lamp are developed from basic illumination to more aspects. The conventional luminaire lighting management system cannot adjust the luminaire light according to environmental changes, but only maintains the luminaire light within a fixed lighting range. The lighting requirement of people changes along with the change of outdoor natural light, and when people are in a low-illumination environment, certain danger exists; when in a strong illumination environment, the energy consumption is more. Therefore, there is a need for optimal management of outdoor lighting fixtures.
Outdoor places can be open squares, and the open squares often have a plurality of lighting fixtures, and when the natural illuminance that outdoor natural light radiated in the current region does not satisfy basic illuminance requirement, the lamps and lanterns need to carry out artifical light filling. The existing outdoor lighting lamp management directly uses a particle swarm algorithm to determine the optimal illumination parameter of each lamp, the movement direction and distance of particles in a search space are determined by the update rule of the speed and the position of the particles in the particle swarm algorithm, the existing particle swarm algorithm has the possibility that the update rule of the speed and the position is unsuitable or is not selected appropriately, the particles can not jump out of the constraint of a local optimal solution, namely, the lamp light controlled by the optimal illumination parameter at the moment is not the most suitable illumination, and the lighting lamp management effect is poor.
Disclosure of Invention
In order to solve the technical problem of poor management effect of the lighting fixtures, the invention aims to provide an outdoor lighting fixture optimization management system, which adopts the following technical scheme:
an embodiment of the present invention provides an outdoor lighting fixture optimization management system, including a memory and a processor, where the processor executes a computer program stored in the memory, so as to implement the following steps:
s1, acquiring all natural illuminance and basic illuminance required values in an area to be regulated at the current moment, dividing the area to be regulated into all sub-regulation areas according to the natural illuminance, and acquiring the natural illuminance of each sub-regulation area;
s2, judging whether the illuminance parameters of each lamp in the region to be regulated at the current moment need to be regulated according to the basic illuminance requirement value of the region to be regulated and the natural illuminance of each sub-regulation region;
s3, if regulation is needed, determining illumination fitness in current regulation according to the basic illumination requirement value, the natural illumination of each sub-regulation area and the illumination of each sub-regulation area in current regulation;
s4, determining the optimal illumination fitness in the current regulation and control, and determining the self-adaptive inertia weight in the current regulation and control according to the optimal illumination fitness, the illumination fitness in the current regulation and control and the illumination fitness in the last regulation and control;
S5, updating the adjustment direction and adjustment size of the illumination parameters of each lamp in the region to be regulated in the current regulation by using the self-adaptive inertia weight in the current regulation and the particle swarm algorithm to obtain the illumination of each sub-regulation region in the next regulation;
s6, determining an objective function value in the next regulation according to the natural illuminance of each sub-regulation area, the illuminance of each lamp in each sub-regulation area in the next regulation and the power of each lamp;
s7, repeating the steps S3, S4, S5 and S6 until the regulation times reach the preset regulation times, determining the objective function value during each regulation, and determining the minimum objective function value;
and S8, taking the illumination parameter of each lamp corresponding to the minimum objective function value as an optimal illumination parameter, and controlling each lamp in the to-be-regulated area at the current moment according to the optimal illumination parameter of each lamp.
Further, according to the basic illuminance requirement value of the region to be regulated and the natural illuminance of each sub-regulation region, judging whether the illuminance parameters of each lamp in the region to be regulated at the current moment need to be regulated or not, including:
selecting the minimum natural illuminance and the maximum natural illuminance according to the natural illuminance of each sub-regulation area; when the basic illuminance requirement value is not smaller than the minimum natural illuminance, judging that the illuminance parameters of each lamp in the to-be-regulated area at the current moment need to be regulated; the natural illuminance of the sub-regulation area is the average value of the natural illuminance in the sub-regulation area;
When the basic illumination requirement value is smaller than the minimum natural illumination, determining a difference value between the maximum natural illumination and the minimum natural illumination as first regulation necessity, normalizing the first regulation necessity, and comparing the normalized first regulation necessity with a necessity threshold;
if the normalized first regulation necessity is not less than the necessity threshold, judging that the illuminance parameter of each lamp in the region to be regulated at the current moment needs to be regulated; if the normalized first regulation necessity is smaller than the necessity threshold, judging that the illuminance parameters of each lamp in the region to be regulated at the current moment do not need to be regulated.
Further, the step of obtaining the illuminance of the lamp in each sub-regulation area during current regulation includes:
for any one sub-regulation area, obtaining the illumination value of each lamp irradiating the sub-regulation area during current regulation, calculating the accumulated value of the illumination values of all lamps irradiating the sub-regulation area during current regulation, and determining the accumulated value of the illumination values as the illumination of the sub-regulation area during current regulation.
Further, the calculation formula of the illumination fitness in the current regulation is as follows:
In the method, in the process of the invention,for the illumination level of the j-th sub-regulatory region at the current regulation,for the natural illuminance of the j-th sub-regulatory region in the region to be regulated,the lamp illuminance of the jth sub-regulation area when the current regulation is performed,is a basic illumination requirement value; y is illumination fitness in current regulation, M is the number of sub-regulation areas in the area to be regulated, j is the sequence number of the sub-regulation areas in the area to be regulated,is the first one when current regulation is performedThe degree of illumination of the sub-regulatory region,in order to find the absolute value function,is a super parameter.
Further, determining the adaptive inertia weight at the current regulation according to the optimal illumination fitness, the illumination fitness at the current regulation and the illumination fitness at the last regulation, including:
determining the absolute value of the difference between the optimal illumination fitness and the illumination fitness at the current regulation and control as a judgment factor; if the judging factor is larger than the judging threshold value, determining a first adaptive inertia weight in the current regulation according to the optimal illumination fitness, the illumination fitness in the current regulation and the illumination fitness in the last regulation; if the judging factor is not greater than the judging threshold value, determining the absolute value of the difference value of the optimal illumination fitness and the illumination fitness in the current regulation as a second self-adaptive inertia weight in the current regulation; the adaptive inertial weight is either a first adaptive inertial weight or a second adaptive inertial weight.
Further, determining a first adaptive inertial weight at the current regulation according to the optimal illumination fitness, the illumination fitness at the current regulation and the illumination fitness at the last regulation, including:
determining the absolute value of the difference between the optimal illumination fitness and the illumination fitness at the current regulation and control as a first inertia weight factor; determining the absolute value of the difference between the illumination fitness during current regulation and the illumination fitness during last regulation as a second inertia weight factor; determining the absolute value of the difference between the optimal illumination fitness and the illumination fitness at the last regulation and control as a third inertia weight factor; and determining the added value of the first inertia weight factor, the second inertia weight factor and the third inertia weight factor as the first self-adaptive inertia weight in the current regulation and control.
Further, determining an objective function value at the next regulation according to the natural illuminance of each sub-regulation area, the illuminance of the lamps of each sub-regulation area at the next regulation, and the power of each lamp, including:
determining the regulation necessity in the next regulation according to the natural illuminance of each sub-regulation area and the lamp illuminance of each sub-regulation area in the next regulation;
And constructing an objective function according to the regulation necessity in the next regulation, the illuminance of the lamps in each sub-regulation area in the next regulation and the power of each lamp, and determining the objective function value in the next regulation.
Further, determining the necessity of regulation in the next regulation according to the natural illuminance of each sub-regulation area and the illuminance of the lamp in each sub-regulation area in the next regulation, including:
for any one sub-regulation region, determining the value obtained by adding the natural illuminance of the sub-regulation region and the lamp illuminance of the corresponding sub-regulation region at the next regulation as the integral illuminance, thereby obtaining the integral illuminance of each sub-regulation region at the next regulation;
and selecting the maximum overall illuminance and the minimum overall illuminance from the overall illuminance of each sub-regulation area in the next regulation, determining the difference value of the maximum overall illuminance and the minimum overall illuminance as second regulation necessity, and determining the product of the second regulation necessity and the reciprocal of the minimum overall illuminance as the regulation necessity in the next regulation.
Further, the calculation formula of the objective function value at the next regulation is as follows:
Wherein F is the objective function value in the next regulation,for the next regulation necessity, M is the number of the sub-regulation regions in the region to be regulated, j is the sequence number of the sub-regulation regions in the region to be regulated,for the lamp illuminance of the jth sub-regulation area at the next regulation,for the illuminance of the lamp in the j+1th sub-regulation area in the next regulation, n is the number of lamps opened in the area to be regulated, i is the serial number of the lamps opened in the area to be regulated,for the power of the ith opened lamp in the area to be regulated at the next regulation,for absolute value functions.
Further, the optimal illumination fitness is the maximum illumination fitness among all illumination fitness corresponding to the current regulation and the historical regulation.
The invention has the following beneficial effects:
the invention provides an outdoor lighting lamp optimization management system, which is used for improving a particle swarm algorithm, is favorable for selecting proper parameters in the particle swarm algorithm, and avoids that the finally obtained optimal illumination parameter is a local optimal solution. Compared with the traditional method that the illumination is divided into each sub-regulation area by direct division, the illumination degree of the sub-regulation areas divided according to the illumination of each natural light is more uniform, which is helpful for improving the accuracy of the judgment result of whether regulation is carried out or not in the follow-up process; the step of judging whether regulation is needed is added, so that resource waste can be effectively avoided, and only lamps in the area to be regulated, which does not meet the basic lighting requirements of personnel and has poor lighting consistency, are regulated; in calculating the adaptive illumination fitness, consideration of influence factors of various aspects can improve the accuracy of the illumination fitness; when the self-adaptive inertia weight in the current regulation and control is calculated, the inertia weight of an update formula in the particle swarm algorithm is improved, so that the optimizing capability of the particle swarm algorithm is improved, and the global optimal solution can be conveniently determined in the subsequent lamp regulation and control process; in order to measure the lamp light performance effect during each regulation, the objective function value during regulation is determined based on the natural illuminance and the regulated illuminance and power of the lamp, and the determined objective function value is beneficial to self-adaptively acquiring the optimal illuminance parameter corresponding to the lamp; by utilizing the optimal illumination parameters, the lamp is controlled, so that the energy consumption can be reduced, the illumination consistency of different sub-regulation areas is improved, the environmental illumination quality of the area to be regulated is improved, and most importantly, the management effect of the illumination lamp is enhanced.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions and advantages of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is an execution flow chart of an outdoor lighting lamp optimization management system of the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the present invention to achieve the preset purpose, the following detailed description is given below of the specific implementation, structure, features and effects of the technical solution according to the present invention with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The specific scene aimed at by this embodiment is: when the outdoor field is illuminated, the illumination intensity of the outdoor field can be controlled by using the installed illumination equipment based on the outdoor natural light, and when the outdoor natural light is weaker and cannot meet the basic illumination requirement, the illumination parameters of the illumination equipment are reasonably regulated and controlled, and the reasonable regulation and control means that the energy consumption is the lowest while the basic illumination requirement is met, so that the management effect of the illumination equipment is improved. The lighting device may be a lighting fixture, and the outdoor field may be an open square.
The embodiment provides an outdoor lighting lamp optimization management system, which comprises a memory and a processor, wherein the processor executes a computer program stored in the memory so as to realize the following steps:
s1, acquiring all natural illuminance and basic illuminance required values in an area to be regulated at the current moment, dividing the area to be regulated into all sub-regulation areas according to the natural illuminance, and acquiring the natural illuminance of each sub-regulation area;
s2, judging whether the illuminance parameters of each lamp in the region to be regulated at the current moment need to be regulated according to the basic illuminance requirement value of the region to be regulated and the natural illuminance of each sub-regulation region;
S3, if regulation is needed, determining illumination fitness in current regulation according to the basic illumination requirement value, the natural illumination of each sub-regulation area and the illumination of each sub-regulation area in current regulation;
s4, determining the optimal illumination fitness in the current regulation and control, and determining the self-adaptive inertia weight in the current regulation and control according to the optimal illumination fitness, the illumination fitness in the current regulation and control and the illumination fitness in the last regulation and control;
s5, updating the adjustment direction and adjustment size of the illumination parameters of each lamp in the region to be regulated in the current regulation by using the self-adaptive inertia weight in the current regulation and the particle swarm algorithm to obtain the illumination of each sub-regulation region in the next regulation;
s6, determining an objective function value in the next regulation according to the natural illuminance of each sub-regulation area, the illuminance of each lamp in each sub-regulation area in the next regulation and the power of each lamp;
s7, repeating the steps S3, S4, S5 and S6 until the regulation times reach the preset regulation times, determining the objective function value during each regulation, and determining the minimum objective function value;
and S8, taking the illumination parameter of each lamp corresponding to the minimum objective function value as an optimal illumination parameter, and controlling each lamp in the to-be-regulated area at the current moment according to the optimal illumination parameter of each lamp.
The following detailed development of each step is performed:
referring to fig. 1, there is shown an outdoor lighting fixture optimization management method of the present invention, the optimization management method comprising the steps of:
s1, acquiring the required values of the natural illuminance and the basic illuminance of each region to be regulated at the current moment, dividing the region to be regulated into sub-regulation regions according to the natural illuminance, and acquiring the natural illuminance of each sub-regulation region.
In this embodiment, for each natural illuminance in the to-be-regulated area at the current moment, the natural illuminance may be obtained by reading illuminance collectors installed in the to-be-regulated area at the current moment, where each illuminance collector has its corresponding natural illuminance, and the number of natural illuminance in the to-be-regulated area is consistent with the number of illuminance collectors. Based on the illuminance of illuminance collectors at different positions in the region to be regulated, the sites with similar illuminance are classified into one type by using a K-Means mean value clustering algorithm, and each sub-regulation region can be obtained. The implementation of the K-Means mean clustering algorithm is prior art and will not be described in detail herein. For the natural illuminance of each sub-regulatory region, the natural illuminance of a single sub-regulatory region can be determined by the average value of the illuminance of all illuminance collectors in the single sub-regulatory region, and natural light refers to sunlight.
It is worth to describe that, in order to facilitate the subsequent natural illuminance passing through each sub-regulation area, each lamp in the original area to be regulated is in a closed state, whether the natural illuminance of the area to be regulated meets the basic illuminance requirement and the illuminance consistency of different sub-regulation areas is analyzed, and the natural illuminance of each sub-regulation area needs to be obtained.
S2, judging whether the illuminance parameters of each lamp in the region to be regulated at the current moment need to be regulated or not according to the basic illuminance requirement value of the region to be regulated and the natural illuminance of each sub-regulation region.
It should be noted that, because the natural light is softer, the comfort level to human eyes is higher, and there is no waste of resources, so under the condition that the natural light meets the basic illumination value, and under the relatively more uniform condition, the lamp does not need to be adjusted. Based on the comparison of the minimum natural illuminance and the basic illuminance requirement, it is determined whether the minimum natural illuminance satisfies the basic illuminance requirement.
The first step, selecting the minimum natural illuminance and the maximum natural illuminance according to the natural illuminance of each sub-regulation area, and marking the minimum natural illuminance asThe maximum natural illuminance is recorded as . The minimum natural light illuminance and the maximum natural light illuminance are selected so as to facilitate the subsequent measurement of illuminance consistency between different sub-regulation areas in the area to be regulated.
Secondly, comparing the minimum natural illuminance with the basic illuminance requirement value, and dividing the minimum natural illuminance into two cases:
firstly, when the basic illuminance requirement value is not smaller than the minimum natural illuminance, the minimum natural illuminance is judged to not meet the basic illuminance requirement value, and the fact that the illuminance intensity of a part of sub-regulation areas cannot meet the basic illuminance requirement of personnel is indicated, and the illuminance parameters of each lamp in the area to be regulated at the current moment are required to be regulated.
The basic illumination requirement values corresponding to the environment of the current region to be regulated can be obtained according to priori knowledge, wherein the basic illumination requirement values are illumination values meeting basic illumination requirements of personnel, the environments are different, and the corresponding basic illumination requirement values are different.
And secondly, when the basic illuminance requirement value is smaller than the minimum natural illuminance, judging that the minimum natural illuminance meets the basic illuminance requirement value, and indicating that the illumination intensities of all the sub-regulation areas in the area to be regulated are all required to meet the basic illumination requirement of personnel. At this time, the consistency of the illumination intensities of the different sub-regulation areas needs to be measured, and if the difference between the minimum natural illuminance and the maximum natural illuminance is large, the illuminance parameters of each lamp in the area to be regulated at the current moment still need to be regulated.
Determining first regulation necessity, judging whether regulation is needed according to the first regulation necessity, and specifically implementing the steps of:
firstly, determining a difference value between the maximum natural illuminance and the minimum natural illuminance as first regulation necessity, and normalizing the first regulation necessity; secondly, comparing the normalized first regulation necessity with a necessity threshold, if the normalized first regulation necessity is not smaller than the necessity threshold, the fact that the difference between the maximum natural illuminance and the minimum natural illuminance is larger is indicated, the natural illuminance consistency of different sub-regulation areas is poorer, and the illuminance parameters of each lamp in the area to be regulated at the current moment need to be regulated; if the normalized first regulation necessity is smaller than the necessity threshold, the maximum natural illuminance is similar to the minimum natural illuminance, the natural illuminance consistency of different sub-regulation areas is good, and the illuminance parameters of each lamp in the area to be regulated at the current moment do not need to be regulated.
The implementation method of normalization processing includes, but is not limited to, linear normalization, mean normalization, nonlinear normalization, decimal scaling normalization, etc., and the implementation process of normalization processing is the prior art and is not described in detail herein. The necessity threshold may be set to 0.75 according to historical experience, and the practitioner may set the necessity threshold size according to specific practical situations.
And S3, if regulation is needed, determining the illumination fitness in the current regulation according to the basic illumination requirement value, the natural illumination of each sub-regulation area and the illumination of each sub-regulation area in the current regulation.
In the embodiment, the optimal illumination parameter of each lamp is obtained by improving the particle swarm algorithm, so that the optimal control of the lamp to the lamp light is realized. Initializing the size of the particle swarm, wherein the size of the particle swarm is marked as L, and the size of the particle swarm corresponds to the number of particles in the particle swarm; the particle dimension is marked as N, and the particle dimension is equivalent to the number of all lamps in the region to be regulated; the iteration number is marked as K, and the iteration number is equivalent to the subsequent regulation and control number; the learning factors are denoted as c1 and c2, and c1 and c2 typically take on values of 2. Regarding the size L, the number of particles corresponding to different scales is different, for example, a small scale may be set to several tens of particles, a medium scale may be set to several hundreds of particles, a large scale may be set to several thousands of particles, and an implementer may set according to a specific actual situation.
In order to measure the illumination condition of the region to be regulated and controlled in the current regulation and control, the fitness value of each particle in the particle swarm algorithm is adaptively constructed based on the illumination influence of each lamp on different sub-regulation and control regions, the natural light illumination condition of different sub-regulation and control regions and the basic illumination requirement of the region to be regulated and controlled, namely the illumination fitness in each regulation and control is determined.
It should be noted that, the illumination fitness during the current regulation is affected by the last regulation, so that for convenience of description, each regulation is described as the current regulation, and each regulation description may be the current regulation, so as to show the sequence of each regulation of the lamp. For the first regulation being the current regulation, there is no last regulation, where the effect of the last regulation on the current regulation data may not be analyzed.
The first step, the illuminance of the lamp in each sub-regulation area during current regulation is obtained.
For any one sub-regulation area, obtaining the illumination value of each lamp irradiating the sub-regulation area during current regulation, calculating the accumulated value of the illumination values of all lamps irradiating the sub-regulation area during current regulation, and determining the accumulated value of the illumination values as the illumination of the sub-regulation area during current regulation. The illuminance value of each lamp irradiating the sub-regulation area can be obtained by a photometer, and of course, an implementer can also obtain the illuminance value of each lamp irradiating the sub-regulation area by other existing implementation means.
As an example, the calculation formula of the luminaire illuminance of the sub-regulation area may be:
in the method, in the process of the invention, The lamp illuminance of the jth sub-regulation area when the current regulation is performed,the illumination value when the jth sub-regulation area is irradiated for the ith lamp in the current regulation,for the number of lamps in the area to be regulated,and j is the serial number of the lamp in the region to be regulated and j is the serial number of the sub-regulation region in the region to be regulated.
It should be noted that, referring to the determining process of the illuminance of the lamp in the jth sub-control area during current control, the illuminance of the lamp in each sub-control area during current control may be obtained.
And secondly, constructing an fitness function of each particle in the particle swarm algorithm according to the basic illumination requirement value, the natural illumination of each sub-regulation area and the illumination of each sub-regulation area, substituting the illumination of each sub-regulation area in the current regulation into the fitness function, and obtaining the illumination fitness in the current regulation.
As an example, the calculation formula of the illumination fitness at the current regulation may be:
in the method, in the process of the invention,for the illumination level of the j-th sub-regulatory region at the current regulation,for the natural illuminance of the j-th sub-regulatory region in the region to be regulated,the lamp illuminance of the jth sub-regulation area when the current regulation is performed, Is a basic illumination requirement value; y is illumination fitness in current regulation, M is the number of sub-regulation areas in the area to be regulated, j is the sequence number of the sub-regulation areas in the area to be regulated,is the first one when current regulation is performedThe degree of illumination of the sub-regulatory region,in order to find the absolute value function,is a super parameter.
In the calculation formula of illumination fitness, the illumination degreeThe degree that the illuminance of the lamp meets the requirement can be reflected by the illuminance of the lamp in the sub-regulation areaAnd natural illuminanceThe addition processing is carried out, and the obtained added numerical value can be characterizedOverall illuminance of sub-regulatory regionThe method comprises the steps of carrying out a first treatment on the surface of the Then passing through the integral illumination and basic illumination requirement value of the sub-regulation regionThe difference between the two conditions indicates the degree to which the sub-regulatory regions meet the basic lighting requirements of the personnel. In analyzing the illumination fitness of individual sub-regulatory regions, consideration is required to be given to the illumination degree of the sub-regulatory regions themselvesAnd the difference in illumination level from adjacent sub-regulatory regionsThe method comprises the steps of carrying out a first treatment on the surface of the The illumination degree and the illumination fitness of the sub-regulation area are in positive correlation, and the greater the illumination degree is, the greater the illumination fitness is; the difference of the illumination degree and the illumination fitness of the adjacent sub-regulation areas are in a negative correlation relation, and the larger the difference is, the worse the illumination uniformity is, the smaller the illumination fitness is; the super parameter is a very small positive number, such as 0.01, which is used to prevent special cases where the denominator is 0. When the illumination fitness Y in the current regulation and control is calculated, all sub-regulation and control areas are considered, and the larger the illumination fitness in the current regulation and control is, the more the particles can meet the illumination requirement, namely the illumination parameters of the corresponding lamps in the current regulation and control are close to the optimal illumination parameters.
S4, determining the optimal illumination fitness in the current regulation and control, and determining the self-adaptive inertia weight in the current regulation and control according to the optimal illumination fitness, the illumination fitness in the current regulation and control and the illumination fitness in the last regulation and control.
It should be noted that, in order to make the illuminance parameters of each lamp close to the optimal illuminance parameters in the next regulation, the speed and the position of the particles are adjusted according to an updated formula in the particle swarm algorithm, that is, the adjustment direction and the adjustment size of the illuminance parameters of each lamp in the region to be regulated at the current moment are adjusted, the speed may refer to the adjustment size or the adjustment degree, and the position may refer to the adjustment direction. The updating formula consists of three parts, wherein the first part is an inertia part, also called a memory term, and consists of inertia weight and the speed of the particle, and represents the influence degree of the speed and the position of the particle which are adjusted last time; the second part is a cognitive part, which is a vector and represents the distance and direction of the particle from the current position to the historical optimal position of the particle; the third part is a social part, is a vector, and represents the distance and direction of the particles from the current position to the optimal position of the particle swarm history, and reflects the cooperative cooperation and knowledge sharing among the particles. The particles determine the next movement by their own experience and the best experience of all particles in the particle population.
For the inertia weight in the first part, the larger the inertia weight of the particles is, the more favorable the global optimal solution is achieved; the smaller the inertia weight of the particles is, the more favorable the local search is performed, and the local optimal solution is achieved. In order to obtain a globally optimal solution, the embodiment adaptively sets an inertial weight according to the current position of the particle, which is specifically expressed as follows: if the current adjusted position of the particle is close to the position of the historical optimal solution of the whole cluster, the situation that whether a global optimal solution exists should be searched in a local range is indicated, and at the moment, the inertia weight should be properly reduced, and the speed of the particle is reduced; if the last position adjustment and the current position adjustment of the particle are far away from the historical optimal solution position of the particle, and the position change of two adjacent iterations is smaller than the change of other particles in the cluster, which indicates that the particle has a larger probability of being trapped into local optimal, the capability of the particle for local searching in the subsequent iteration optimizing process should be reduced, the probability of the particle travelling to a new position is increased, the particle reaches the global optimal solution as soon as possible, and the inertia weight of the particle should be increased, so that the particle has a larger speed.
First, determining the optimal illumination fitness at the current regulation.
In this embodiment, the optimal illumination fitness is the maximum illumination fitness among all illumination fitness corresponding to the current regulation and the historical regulation, that is, the historical optimal illumination fitness of the entire cluster of the current regulation, where the historical regulation refers to multiple regulation before the current regulation, and the optimal illumination fitness at the first regulation is the illumination fitness at the first regulation. For example, the current regulation is the fifth regulation, and then the maximum illumination fitness is selected as the optimal illumination fitness among all illumination fitness corresponding to the first four regulation and the fifth regulation, where the optimal illumination fitness is the historical optimal solution in the particle swarm algorithm.
And secondly, determining the self-adaptive inertia weight in the current regulation according to the optimal illumination fitness, the illumination fitness in the current regulation and the illumination fitness in the last regulation.
Determining the absolute value of the difference between the optimal illumination fitness and the illumination fitness at the current regulation and control as a judgment factor; if the judging factor is larger than the judging threshold value, determining a first adaptive inertia weight in the current regulation according to the optimal illumination fitness, the illumination fitness in the current regulation and the illumination fitness in the last regulation; if the judging factor is not greater than the judging threshold value, determining the absolute value of the difference value of the optimal illumination fitness and the illumination fitness in the current regulation as a second self-adaptive inertia weight in the current regulation; the self-adaptive inertia weight is a first self-adaptive inertia weight or a second self-adaptive inertia weight.
For the first adaptive inertial weight in the current regulation and control, the specific implementation steps may include:
determining the absolute value of the difference between the optimal illumination fitness and the illumination fitness at the current regulation and control as a first inertia weight factor; determining the absolute value of the difference between the illumination fitness during current regulation and the illumination fitness during last regulation as a second inertia weight factor; determining the absolute value of the difference between the optimal illumination fitness and the illumination fitness at the last regulation and control as a third inertia weight factor; and determining the added value of the first inertia weight factor, the second inertia weight factor and the third inertia weight factor as the first self-adaptive inertia weight in the current regulation and control.
As an example, the expression of the adaptive inertial weight at the current regulation time may be:
wherein, the liquid crystal display device comprises a liquid crystal display device,for the adaptive inertial weight at the current regulation,for an optimal degree of illumination adaptation,for the illumination fitness at the current time of regulation,for the illumination fitness at the last time of regulation,in order to determine the threshold value,is the first inertial weight factor when currently regulated,is the second inertia weight factor when current regulation is performed,is the third inertia weight factor in the current regulation,is also a judging factor in the current regulation, In order to find the absolute value function,for the first adaptive inertial weight at the current regulation,and also the second adaptive inertial weight at the current regulation.
In the expression of the adaptive inertia weight, the last time is regulated asLast regulation of the previous regulation; the decision threshold can be set by an implementer according to specific practical conditions, and is not particularly limited; determination factorWhen the adjustment degree is smaller, the illumination fitness during current adjustment is close to a historical optimal solution, the historical optimal solution is the optimal illumination fitness, whether a global optimal solution exists or not is searched in a local range, the self-adaptive inertia weight during current adjustment is smaller, so that the adjustment degree is reduced, and the more likely the self-adaptive inertia weight during current adjustment is the second self-adaptive inertia weight; determination factorWhen the difference between the illumination fitness at the current regulation and the illumination fitness at the last regulation is smaller than the difference between the illumination fitness at the current regulation and the illumination fitness at the last regulation, and the illumination fitness at the current regulation is smaller than the illumination fitness at other historical regulation, the illumination fitness at the current regulation has a larger probability of sinking into local optimum, the capability of local searching in the subsequent iterative optimizing process is reduced, the probability of advancing to a new position is increased, so that a global optimum solution is reached as soon as possible, the adaptive inertia weight of the current regulation is increased, the adjustment degree is improved, and the adaptive inertia weight at the current regulation is more likely to be the first adaptive weight.
And S5, updating the adjustment direction and adjustment size of the illumination parameters of each lamp in the current region to be regulated by using the self-adaptive inertia weight during current regulation and control through a particle swarm algorithm, and obtaining the illumination of each sub-regulation region during next regulation and control.
In this embodiment, based on the adaptive inertia weight during current regulation, the adjustment direction and the adjustment size of the illuminance parameter of each lamp in the current regulation region to be regulated are updated by the particle swarm algorithm, so that the illuminance parameter of each lamp in the next regulation region to be regulated can be obtained, and each lamp in the next regulation region to be regulated is controlled by the illuminance parameter of each lamp in the next regulation region to be regulated, so as to obtain the illuminance of each lamp in the next sub-regulation region. The determination process of the illuminance of the lamp in each sub-control area at the next control can refer to the first step of step S3, and the description thereof will not be repeated here.
It should be noted that, the next regulation is the next regulation of the current regulation; the self-adaptive inertial weight replaces the inertial weight in the update formula, so that the update formula in the particle swarm algorithm is improved. The specific implementation process of updating the adjustment direction and the adjustment size of the illumination parameter of each lamp in the to-be-adjusted area to be adjusted is the prior art through an improved updating formula of the particle swarm algorithm, and is not described in detail herein.
S6, determining an objective function value in the next regulation according to the natural illuminance of each sub-regulation area, the illuminance of the lamp in each sub-regulation area in the next regulation and the power of each lamp.
In the embodiment, the objective function is adaptively constructed through the evaluation of the area to be regulated, the number of opened lamps and the power corresponding to all lamps, so that when the objective function is minimum, the illumination of the area to be regulated meets the requirements, the illumination consistency of different sub-regulation areas is ensured, and the energy consumption is reduced. The specific implementation steps of the adaptive built objective function may include:
first, determining the regulation necessity in the next regulation according to the natural illuminance of each sub-regulation area and the illuminance of the lamp in each sub-regulation area in the next regulation.
The first substep, for any one sub-regulation area, determining the value obtained by adding the natural illuminance of the sub-regulation area and the illuminance of the lamp of the corresponding sub-regulation area in the next regulation as the integral illuminance, thereby obtaining the integral illuminance of each sub-regulation area in the next regulation.
It is worth to say that, in the subsequent calculation of the regulation necessity, two aspects need to be considered for the influence on the illumination condition of the sub-regulation area, the natural light and the lamp light of the sub-regulation area. In order to integrate the influencing factors in two aspects, the natural illuminance of the same sub-regulation area and the illuminance of the lamp are added, so that the integral illuminance of the sub-regulation area can be obtained, and the integral illuminance at the moment can represent the illumination condition of the sub-regulation area.
And a second sub-step of selecting the maximum overall illuminance and the minimum overall illuminance from the overall illuminance of each sub-regulation area at the next regulation, determining the difference between the maximum overall illuminance and the minimum overall illuminance as a second regulation necessity, and determining the product of the second regulation necessity and the reciprocal of the minimum overall illuminance as the regulation necessity at the next regulation.
As an example, the calculation formula of the regulation necessity at the next regulation may be:
in the method, in the process of the invention,for the necessity of regulation at the next regulation,for the maximum overall illuminance at the next regulation,for the minimum overall illuminance at the next regulation,is the second regulation necessity at the next regulation.
In the calculation formula of the regulation necessity at the next regulation, the second regulation necessityCan be used to characterize the overall illuminance uniformity of different sub-regulatory regions, secondary regulatory necessity and regulatory necessityFor positive correlation, the larger the second regulation necessity is, the larger the regulation necessity is in the next regulation, and the more the illumination parameter of the lamp needs to be regulated in the next regulation; minimum overall illuminanceThe inverse number of the (2) is taken as the weight of the second regulation necessity, the minimum integral illuminance and the regulation necessity are in a negative correlation, the smaller the minimum integral illuminance is, the larger the difference of the integral illuminance of the region to be regulated in the next regulation is, the more likely the basic requirement of the ambient illuminance at the current moment is not met, and the larger the regulation necessity is; when analyzing the regulation necessity at the next regulation, not only the difference of the maximum and minimum integral illuminance is considered, but also the influence of the minimum integral illuminance on the second regulation necessity is considered, The larger the second regulation necessity is, the stronger the reliability is, which is helpful to obtain more accurate regulation necessity in next regulation, and is convenient for calculating the objective function value in next regulation.
And secondly, constructing an objective function according to the regulation necessity in the next regulation, the illuminance of the lamps in each sub-regulation area in the next regulation and the power of each lamp, and determining the objective function value in the next regulation.
In this embodiment, firstly, according to the power of each lamp in each sub-regulation area in the next regulation, the number of lamps with non-zero lamp power is counted, and the lamps with non-zero lamp power are determined as turned-on lamps. Then, adaptively constructing an objective function in a particle swarm algorithm, substituting the necessity of regulation and control in the next regulation and control, the illuminance of lamps in each sub-regulation and control area in the next regulation and control, the number of lamps opened in a region to be regulated and the power of each opened lamp into the objective function, so that the objective function value in the next regulation and control can be obtained, and the calculation formula of the objective function value in the next regulation and control can be as follows:
wherein F is the objective function value in the next regulation, For the next regulation necessity, M is the number of the sub-regulation regions in the region to be regulated, j is the sequence number of the sub-regulation regions in the region to be regulated,for the lamp illuminance of the jth sub-regulation area at the next regulation,for the illuminance of the lamp in the j+1th sub-regulation area in the next regulation, n is the number of lamps opened in the area to be regulated, i is the serial number of the lamps opened in the area to be regulated,for the power of the ith opened lamp in the area to be regulated at the next regulation,for absolute value functions.
In a calculation formula of the objective function value in the next regulation, the objective function value can represent the distance between the illuminance parameter of each lamp in the region to be regulated and the optimal illuminance parameter in the next regulation, the objective function value and the optimal illuminance parameter are in a negative correlation relation, and the smaller the objective function value is, the more likely the illuminance parameter of each lamp corresponding to the regulation is the optimal illuminance parameter; necessity of control at the next controlCan represent the expression effect of the lamp light in the region to be regulated in the next regulation of the current regulation, the regulation necessity and the objective function value are in positive correlation, and the regulation necessity in the next regulation The smaller the current lamplight performance effect is, the smaller the objective function value F in the next regulation is;can be used for representing the difference of the regulated illumination of the lamp in two adjacent areas,the larger the value, the worse the regulation effect, the larger the objective function value, soThe function value of the target is in positive correlation relation,can be used for representing the lamp illumination uniformity of the whole region to be regulated,the smaller the illumination uniformity of the whole lamp is, the better the illumination uniformity of the whole lamp is; the smaller the number n of open lamps, the less resource waste, and the power of the ith open lampThe larger the power of the lamp is equal to zero, the lamp is not started, the lamp is in an opened state, and the opened lamp can be used for illumination.
It is worth to say that the constraints of the region to be regulated are:n is the number of all lamps in the area to be regulated;，the maximum power of the lamp in the area to be regulated is set;，is the basic illumination requirement value.
And S7, repeating the steps S3, S4, S5 and S6 until the regulation times reach the preset regulation times, determining the objective function value during each regulation, and determining the minimum objective function value.
In this embodiment, steps S3, S4, S5 and S6 are repeated continuously, the adjustment direction and the adjustment size of the illuminance parameter of each lamp in the current area to be adjusted and controlled are updated, the illuminance of the lamp in each sub-adjusting area when the current adjustment and control are performed next time can be obtained until the adjustment and control times reach the preset adjustment and control times, the adjustment and control times can be set to 1000, and then the objective function value in each adjustment and control can be determined. The minimum objective function value is selected from the objective function values in each regulation, the smaller the objective function value is, the better the performance effect of regulating the lamps is, and the more likely the corresponding illuminance parameter of each lamp is the optimal illuminance parameter.
And S8, taking the illumination parameter of each lamp corresponding to the minimum objective function value as an optimal illumination parameter, and controlling each lamp in the to-be-regulated area at the current moment according to the optimal illumination parameter of each lamp.
In this embodiment, the minimum objective function value may indicate that the current multiple adjustment has the best adjustment effect of the minimum objective function value, which meets the basic illumination requirement, and ensures the consistency of illumination degrees of different sub-adjustment areas, thereby reducing energy consumption. Therefore, the initial illuminance parameter of each lamp in the region to be regulated at the current moment can be regulated to be the optimal illuminance parameter, so that the control of each lamp in the region to be regulated at the current moment is realized, and each lamp has the corresponding optimal illuminance parameter.
When the lighting lamp control management is started, collecting illumination related data of a region to be regulated at the current moment, wherein illumination parameters comprise but are not limited to: luminous flux, light efficiency, luminous intensity, light intensity distribution curve, wavelength, power, etc.
It should be noted that, after the control of each lamp in the to-be-regulated area at the current moment is completed, if the control management of each lamp in other regulation areas is needed, all the steps in the invention can be continuously executed by replacing the basic data of the lamp control.
The invention provides an outdoor lighting lamp optimization management system, which analyzes the consistency of the lighting degree of an integral area based on the natural illuminance of each sub-regulation area so as to judge whether the natural light at the current moment meets the basic lighting requirement or not; if the basic illumination requirement cannot be met, adaptively constructing an objective function and an adaptability function in a particle swarm algorithm, and adaptively acquiring inertia weights in an update formula based on the position update change of particles, wherein the inertia weights improve the optimizing capability of the particle swarm algorithm and are beneficial to adaptively acquiring the optimal illumination parameters corresponding to each lamp; the lamp is controlled through the optimal illumination parameters, so that the energy consumption can be reduced, the illumination quality of the environment of the area to be regulated is improved, and the management effect of the illumination lamp is enhanced.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention and are intended to be included within the scope of the invention.
Claims (9)
1. An outdoor lighting fixture optimization management system, comprising a memory and a processor, wherein the processor executes a computer program stored in the memory to realize the following steps:
s1, acquiring all natural illuminance and basic illuminance required values in an area to be regulated at the current moment, dividing the area to be regulated into all sub-regulation areas according to the natural illuminance, and acquiring the natural illuminance of each sub-regulation area;
s2, judging whether the illuminance parameters of each lamp in the region to be regulated at the current moment need to be regulated according to the basic illuminance requirement value of the region to be regulated and the natural illuminance of each sub-regulation region;
s3, if regulation is needed, determining illumination fitness in current regulation according to the basic illumination requirement value, the natural illumination of each sub-regulation area and the illumination of each sub-regulation area in current regulation;
s4, determining the optimal illumination fitness in the current regulation and control, and determining the self-adaptive inertia weight in the current regulation and control according to the optimal illumination fitness, the illumination fitness in the current regulation and control and the illumination fitness in the last regulation and control;
s5, updating the adjustment direction and adjustment size of the illumination parameters of each lamp in the region to be regulated in the current regulation by using the self-adaptive inertia weight in the current regulation and the particle swarm algorithm to obtain the illumination of each sub-regulation region in the next regulation;
S6, determining an objective function value in the next regulation according to the natural illuminance of each sub-regulation area, the illuminance of each lamp in each sub-regulation area in the next regulation and the power of each lamp;
s7, repeating the steps S3, S4, S5 and S6 until the regulation times reach the preset regulation times, determining the objective function value during each regulation, and determining the minimum objective function value;
s8, taking the illumination parameter of each lamp corresponding to the minimum objective function value as an optimal illumination parameter, and controlling each lamp in the to-be-regulated area at the current moment according to the optimal illumination parameter of each lamp;
judging whether the illuminance parameters of each lamp in the region to be regulated at the current moment need to be regulated or not according to the basic illuminance requirement value of the region to be regulated and the natural illuminance of each sub-regulation region, wherein the method comprises the following steps:
selecting the minimum natural illuminance and the maximum natural illuminance according to the natural illuminance of each sub-regulation area; when the basic illuminance requirement value is not smaller than the minimum natural illuminance, judging that the illuminance parameters of each lamp in the to-be-regulated area at the current moment need to be regulated; the natural illuminance of the sub-regulation area is the average value of the natural illuminance in the sub-regulation area;
When the basic illumination requirement value is smaller than the minimum natural illumination, determining a difference value between the maximum natural illumination and the minimum natural illumination as first regulation necessity, normalizing the first regulation necessity, and comparing the normalized first regulation necessity with a necessity threshold;
if the normalized first regulation necessity is not less than the necessity threshold, judging that the illuminance parameter of each lamp in the region to be regulated at the current moment needs to be regulated; if the normalized first regulation necessity is smaller than the necessity threshold, judging that the illuminance parameters of each lamp in the region to be regulated at the current moment do not need to be regulated.
2. The outdoor lighting fixture optimization management system of claim 1, wherein the step of obtaining the fixture illuminance of each sub-regulation area at the current regulation time comprises:
for any one sub-regulation area, obtaining the illumination value of each lamp irradiating the sub-regulation area during current regulation, calculating the accumulated value of the illumination values of all lamps irradiating the sub-regulation area during current regulation, and determining the accumulated value of the illumination values as the illumination of the sub-regulation area during current regulation.
3. The outdoor lighting fixture optimization management system according to claim 1, wherein the calculation formula of the illumination fitness at the current regulation is:wherein B is j For the illumination level of the j-th sub-regulatory region at the current regulation,
Z j ZR for the natural illuminance of the j-th sub-regulatory region in the region to be regulated,
Z j DG lighting of lamp for j sub-regulation area in current regulationThe degree of the heat dissipation,
Z Q is a basic illumination requirement value;
y is the illumination fitness at the current regulation,
m is the number of sub-regulatory regions in the region to be regulated,
j is the sequence number of the sub-regulatory region in the region to be regulated,
B j+1 for the illumination level of the j+1th sub-regulatory region at the current regulation,
II is a function of the absolute value,
is a super parameter.
4. The outdoor lighting fixture optimization management system of claim 1, wherein determining the adaptive inertial weight at the current regulation based on the optimal lighting fitness, the lighting fitness at the current regulation, and the lighting fitness at the last regulation comprises:
determining the absolute value of the difference between the optimal illumination fitness and the illumination fitness at the current regulation and control as a judgment factor; if the judging factor is larger than the judging threshold value, determining a first adaptive inertia weight in the current regulation according to the optimal illumination fitness, the illumination fitness in the current regulation and the illumination fitness in the last regulation; if the judging factor is not greater than the judging threshold value, determining the absolute value of the difference value of the optimal illumination fitness and the illumination fitness in the current regulation as a second self-adaptive inertia weight in the current regulation; the adaptive inertial weight is either a first adaptive inertial weight or a second adaptive inertial weight.
5. The optimal management system for an outdoor lighting fixture of claim 4, wherein determining the first adaptive inertial weight at the current modulation based on the optimal illumination fitness, the illumination fitness at the current modulation, and the illumination fitness at the last modulation comprises:
determining the absolute value of the difference between the optimal illumination fitness and the illumination fitness at the current regulation and control as a first inertia weight factor; determining the absolute value of the difference between the illumination fitness during current regulation and the illumination fitness during last regulation as a second inertia weight factor; determining the absolute value of the difference between the optimal illumination fitness and the illumination fitness at the last regulation and control as a third inertia weight factor; and determining the added value of the first inertia weight factor, the second inertia weight factor and the third inertia weight factor as the first self-adaptive inertia weight in the current regulation and control.
6. The outdoor lighting fixture optimization management system of claim 1, wherein determining the objective function value at the next regulation based on the natural illuminance of each sub-regulation area, the fixture illuminance of each sub-regulation area at the next regulation, and the power of each fixture, comprises:
Determining the regulation necessity in the next regulation according to the natural illuminance of each sub-regulation area and the lamp illuminance of each sub-regulation area in the next regulation;
and constructing an objective function according to the regulation necessity in the next regulation, the illuminance of the lamps in each sub-regulation area in the next regulation and the power of each lamp, and determining the objective function value in the next regulation.
7. The optimal management system for outdoor lighting fixtures according to claim 6, wherein determining the necessity of the next regulation based on the natural illuminance of each sub-regulation area and the fixture illuminance of each sub-regulation area at the next regulation comprises:
for any one sub-regulation region, determining the value obtained by adding the natural illuminance of the sub-regulation region and the lamp illuminance of the corresponding sub-regulation region at the next regulation as the integral illuminance, thereby obtaining the integral illuminance of each sub-regulation region at the next regulation;
and selecting the maximum overall illuminance and the minimum overall illuminance from the overall illuminance of each sub-regulation area in the next regulation, determining the difference value of the maximum overall illuminance and the minimum overall illuminance as second regulation necessity, and determining the product of the second regulation necessity and the reciprocal of the minimum overall illuminance as the regulation necessity in the next regulation.
8. The optimal management system for outdoor lighting fixtures according to claim 6, wherein the calculation formula of the objective function value at the next regulation is:wherein F is the objective function value in the next regulation,
BV is the regulation necessity in the next regulation,
m is the number of sub-regulatory regions in the region to be regulated,
j is the sequence number of the sub-regulatory region in the region to be regulated,
Z j DG' for the lamp illuminance of the jth sub-regulation area at the next regulation,
Z j+1 DG' for the illuminance of the lamp in the j+1th sub-regulation area in the next regulation,
n is the number of lamps which are turned on in the area to be regulated,
i is the serial number of the lamp opened in the area to be regulated,
P i for the power of the ith opened lamp in the area to be regulated at the next regulation,
II is an absolute function.
9. An outdoor lighting fixture optimization management system as recited in claim 1, wherein said optimal lighting fitness is a maximum lighting fitness of all lighting fitness corresponding to current and historical lighting fitness.
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