CN109657849B - LED lamp array wiring method based on network analysis method - Google Patents

LED lamp array wiring method based on network analysis method Download PDF

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CN109657849B
CN109657849B CN201811496041.9A CN201811496041A CN109657849B CN 109657849 B CN109657849 B CN 109657849B CN 201811496041 A CN201811496041 A CN 201811496041A CN 109657849 B CN109657849 B CN 109657849B
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led
cost
network analysis
illumination intensity
led array
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CN109657849A (en
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刘东静
刘利孙
樊亚松
王浩洁
乔铁良
吴研臣
杨道国
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Guilin University of Electronic Technology
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Guilin University of Electronic Technology
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G06Q10/043Optimisation of two dimensional placement, e.g. cutting of clothes or wood
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F21LIGHTING
    • F21VFUNCTIONAL FEATURES OR DETAILS OF LIGHTING DEVICES OR SYSTEMS THEREOF; STRUCTURAL COMBINATIONS OF LIGHTING DEVICES WITH OTHER ARTICLES, NOT OTHERWISE PROVIDED FOR
    • F21V19/00Fastening of light sources or lamp holders
    • F21V19/001Fastening of light sources or lamp holders the light sources being semiconductors devices, e.g. LEDs
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F21LIGHTING
    • F21YINDEXING SCHEME ASSOCIATED WITH SUBCLASSES F21K, F21L, F21S and F21V, RELATING TO THE FORM OR THE KIND OF THE LIGHT SOURCES OR OF THE COLOUR OF THE LIGHT EMITTED
    • F21Y2115/00Light-generating elements of semiconductor light sources
    • F21Y2115/10Light-emitting diodes [LED]

Abstract

The invention discloses a network analysis method-based LED lamp array wiring method, which can determine the lamp structure, the energy-saving level, the types of LED lamps and the number of the LED lamps according to the use requirements and the use places of users, and then analyze the total cost of the lamps by using the network analysis method; according to the selected lamp structure, meshing the lamp structure, and generating an array of LED array coordinates in the mesh through combination arrangement; and then, carrying out weight proportion analysis on the illumination uniformity, the heat dissipation effect, the illumination intensity and the minimum total cost of the LED arrays corresponding to each group of LED array coordinates through a network analysis model, and selecting the optimal LED array coordinates according to the weight proportion to obtain the optimal LED lamp array wiring. The invention provides an optimal LED array distribution mode aiming at the use requirement and the use field requirement of a user based on a network analysis method, and can automatically screen out an optimal LED array wiring mode for the user.

Description

LED lamp array wiring method based on network analysis method
Technical Field
The invention relates to the technical field of illumination, in particular to an LED lamp array wiring method based on a network analysis method.
Background
As a fourth generation illumination Light source, a Light-Emitting Diode (LED) has advantages of energy saving, environmental protection, long service life, etc., and has been widely used in various illumination fields. However, the current technology is limited by the manufacturing and process technology, the luminous flux emitted by a single LED is very limited, and a plurality of LEDs are integrated into an LED array module for illumination, so that the problem of insufficient luminous flux can be effectively solved. However, the current LED array structure is generally in a circular layout mode with uniform spacing or similar uniform distribution, various factors need to be comprehensively considered in the process of designing the array, the existing technical scheme basically takes the heat dissipation effect and the illuminance uniformity as main factors to consider the LED array wiring mode, and studies on customizing the LED lamp for users according to the unique demands of the users are also fresh.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an LED lamp array wiring method based on a network analysis method.
The technical scheme for solving the technical problems is as follows:
a wiring method of an LED lamp array based on a network analysis method comprises the following steps:
step 1, determining a lamp structure, an energy-saving level, the types of the LED lamps and the number of the LED lamps according to the use requirements and the use places of users;
step 2, optimizing the total cost of the lamp by using a network analysis method according to the types of the LED lamps, the number of the LED lamps, the lamp structure and the energy-saving level, so as to obtain the minimum total cost;
step 3, meshing the lamp structure;
step 4, the LED lamps are arranged in the grid in a random combination mode, and a plurality of groups of LED array coordinates are generated;
step 5, carrying out weight proportion analysis on the illumination uniformity, the heat dissipation effect, the illumination intensity and the minimum total cost of the LED arrays corresponding to each group of LED array coordinates through a network analysis model, and selecting the optimal LED array coordinates according to the weight proportion;
and 6, carrying out array wiring on the LED lamps according to the optimal LED array coordinates to obtain optimal LED lamp array wiring.
The beneficial effects of the invention are as follows: according to the invention, the total cost of the lamp is optimized by utilizing a network analysis method according to the use requirement and the use place proposed by a user, the weight proportion analysis is conducted on the illumination uniformity, the heat dissipation effect, the illumination intensity and the minimum total cost of the LED arrays corresponding to each group of LED array coordinates by utilizing the network analysis method, the optimal LED array coordinates are selected through the weight proportion, the LED lamp is wired through the optimal LED array coordinates, and an optimal LED array wiring mode can be automatically screened for the user.
Further, the step 1 specifically includes:
step 1.1, determining a lamp structure, illumination intensity, an illumination area and an energy-saving level according to the use requirements and the use places of users;
and 1.2, selecting the types of the LED lamps and the number of the LED lamps according to the lamp structure, the intensity requirement, the illumination area and the energy-saving level.
The beneficial effects of adopting the further scheme are as follows: the LED lamp structure, the illumination intensity, the illumination area and the energy-saving level can be determined according to the use requirements and the use places proposed by users, and the types and the number of the LED lamps meeting the requirements are calculated according to the illumination intensity, the illumination area and the energy-saving level.
Further, the total cost includes an initial cost and an operation cost, the initial cost including a design cost, a material cost, a production cost, and an installation cost; the operating costs include maintenance costs, power costs, and LED lamp replacement costs.
Further, the step 2 specifically includes:
step 2.1, calculating the weights of initial cost and operation cost by using an analytic hierarchy process;
step 2.2, calculating the weight of each first element set by using a first single criterion;
step 2.3, calculating the weight of each first element set by using a first multi-criterion;
step 2.4, optimizing the total cost of the lamp according to the calculated ownership weight to the minimum total cost;
wherein the first set of elements is generated from a combination of one or more elements of design cost, material cost, production cost, installation cost, maintenance cost, power cost, and LED lamp replacement cost; the first single criterion is based on one of initial cost and operation cost; the first plurality of criteria is based on initial cost and operating cost.
Further, the step 2.2 specifically includes:
2.2.1, establishing a super matrix W by using a network analysis method, and comparing the relative importance of design cost, material cost, production cost and installation cost by taking the total cost as a main criterion and the initial cost as a secondary criterion;
2.2.2, establishing a weight matrix alpha model, comparing and judging each first element set by taking the total cost as a main criterion and the operation cost as a secondary criterion, and obtaining a weight matrix alpha by constructing a judgment matrix and calculating a characteristic vector of the judgment matrix;
and 2.2.3, establishing a weighted super matrix to solve a weight matrix alpha to obtain the weight of the first element set.
The beneficial effects of adopting the further scheme are as follows: the weight of the initial cost and the operation cost is calculated by using a network analysis method, and the cost factors of the design cost, the material cost, the production cost, the installation cost, the maintenance cost, the electric power cost, the replacement cost of the LED lamp and the like in the initial cost and the operation cost are subjected to weight analysis, so that the total cost can be optimized to the greatest extent, and the total cost of the lamp is lower.
Further, the LED array coordinates are a first set L1: (X) 11 ,Y 11 ,Z 11 ;X 12 ,Y 12 ,Z 12 ;……;X 1m ,Y 1m ,Z 1m ) Second group L2: (X) 21 ,Y 21 ,Z 21 ;X 22 ,Y 22 ,Z 22 ;……;X 2m ,Y 2m ,Z 2m ) … …, n-th group Ln: (X) n1 ,Y n1 ,Z n1 ;X 22 ,Y n2 ,Z n2 ;……;X nm Y nm ,Z nm ),
Wherein n is the number of groups of LED array coordinates, and m is the number of LED lamps in each group of LED arrays.
Further, the network analysis model comprises a control layer and a network layer, wherein the total target of the control layer is comprehensive evaluation of LED array coordinates; the decision criteria of the control layer are illuminance uniformity, heat dissipation effect, illumination intensity and lowest total cost; the network layer is composed of the second element set; the elements in the second element set are generated by one or more of illumination uniformity, heat dissipation effect, illumination intensity and minimum total cost of the LED arrays corresponding to each group of LED array coordinates; the network analysis model is expressed as a total objective function:
Z=maxf(X)=αZ 1 +βZ 2 +λZ 3 +θZ 4
wherein Z is the comprehensive evaluation value of the LED array coordinates, Z 1 For uniformity of illuminance, Z 2 Z is the heat dissipation effect 3 For the illumination intensity, Z 4 For the lowest total cost, α, β, γ, θ are weights of illuminance uniformity, heat radiation effect, illumination intensity, and the lowest total cost, and α+β+γ+θ=1, respectively.
Further, the step 5 specifically includes:
step 5.1, calculating illuminance uniformity of the LED arrays corresponding to each group of LED array coordinates;
step 5.2, performing temperature distribution simulation on the LED arrays, and evaluating the heat dissipation effect of each group of LED arrays;
step 5.3, calculating the illumination intensity of each group of LED arrays;
step 5.4, analyzing the weight proportion of the second element set in the network layer of the network analysis model to obtain the weight proportion of the illumination uniformity, the heat dissipation effect, the illumination intensity and the lowest total cost of all the LED arrays;
and 5.5, calculating the Z value of the total objective function corresponding to the network analysis model according to the weight proportion obtained by analysis, wherein the LED array coordinate corresponding to the maximum Z value is the optimal LED array coordinate.
Further, the step 5.4 specifically includes:
step 5.4.1, calculating the weight of the illumination uniformity, the heat dissipation effect, the illumination intensity and the lowest total cost of the LED array;
step 5.4.2, calculating the weight proportion of each second element set by using a second single criterion;
step 5.4.3, calculating the weight proportion of each second element set by using a second multi-criterion;
wherein the second single criterion is based on one element of the illuminance uniformity, the heat radiation effect, the illumination intensity and the total cost; the second plurality of criteria is based on two or more elements of the illuminance uniformity, the heat dissipation effect, the illumination intensity, and the total cost.
Further, the step 5.4.2 specifically includes:
step 5.4.2.1, comparing the relative importance of the LED array coordinates of other groups by taking the illuminance uniformity as a main criterion and the illuminance of any group of LED array coordinates at a preset point P as a secondary criterion;
step 5.4.2.2, establishing a weight matrix a model, taking the optimal LED array coordinates as a main criterion, taking the illuminance uniformity, the heat radiation effect, the illumination intensity and the total cost as secondary criteria, comparing and judging each second element set, constructing a judgment matrix model and calculating the feature vector of the judgment matrix;
and 5.4.2.3, establishing a weighted super matrix to solve the judgment matrix model, and obtaining the weight proportion of illumination uniformity, heat dissipation effect, illumination intensity and the lowest total cost in each group of LED array coordinates.
The beneficial effects of adopting the further scheme are as follows: the optimal LED array coordinate combination is obtained by establishing a network analysis model to compare the influence weights of the four elements of the illumination uniformity, the illumination intensity, the heat dissipation effect and the lowest total cost of the LED arrays corresponding to all the LED array coordinates on the optimal wiring mode, so that the lamp can achieve the maximization of the illumination uniformity, the maximization of the heat dissipation effect, the illumination intensity reaches the requirements of customers, and the total cost is as low as possible.
Additional aspects of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
Fig. 1 is a schematic flow chart of an LED lamp array wiring method based on a network analysis method according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating specific steps included in step S110 in fig. 1;
fig. 3 is a flowchart illustrating specific steps included in step S120 in fig. 1;
FIG. 4 is a flowchart illustrating steps included in step 122 of FIG. 3;
FIG. 5 is a flowchart illustrating steps included in step S150 of FIG. 1;
fig. 6 is a flowchart illustrating steps included in step 154 and steps 1542 included in fig. 5.
Detailed Description
The principles and features of the present invention are described below with reference to the drawings, the examples are illustrated for the purpose of illustrating the invention and are not to be construed as limiting the scope of the invention.
As shown in fig. 1, a flow chart of an LED lamp array wiring method based on a network analysis method according to an embodiment of the present invention is shown, where the method includes:
s110, determining a lamp structure, an energy-saving level, the types of the LED lamps and the number of the LED lamps according to the use requirements and the use places of users;
s120, optimizing the total cost of the lamp by using a network analysis method according to the types of the LED lamps, the number of the LED lamps, the lamp structure and the energy-saving level, so as to obtain the minimum total cost;
s130, meshing the lamp structure;
s140, carrying out random combination arrangement on the LED lamps in the grid to generate a plurality of groups of LED array coordinates;
s150, carrying out weight proportion analysis on the illumination uniformity, the heat dissipation effect, the illumination intensity and the minimum total cost of the LED arrays corresponding to each group of LED array coordinates through a network analysis model, and selecting the optimal LED array coordinates according to the weight proportion;
and S160, carrying out array wiring on the LED lamps according to the optimal LED array coordinates to obtain optimal LED lamp array wiring.
It should be noted that, the network analysis method (Analytic Network Process, ANP) is a decision method adapting to a non-independent hierarchical structure proposed by the university of pittsburgh, usa, teaching in 1996, and is a new practical decision method formed by developing on the basis of the hierarchical analysis method ((Analytic Hierarchy Process, AHP), and because the network structure model is far more complex than the hierarchical structure model, the network analysis method is applied to deeper mathematical knowledge in terms of weight synthesis, wherein the more important concept is the application and analysis of the super matrix, the representation of the network model and the synthesis of the weight are the most important two aspects in the network analysis method.
Specifically, in S150, the network analysis model includes a control layer and a network layer, where a total target of the control layer is a comprehensive evaluation of LED array coordinates; the decision criteria of the control layer are illuminance uniformity, heat dissipation effect, illumination intensity and lowest total cost; the network layer is composed of the second element set; the elements in the second element set are generated by one or more of illumination uniformity, heat dissipation effect, illumination intensity and minimum total cost of the LED arrays corresponding to each group of LED array coordinates; the network analysis model is expressed as a total objective function:
Z=maxf(X)=αZ 1 +βZ 2 +λZ 3 +θZ 4
wherein Z is the comprehensive evaluation value of the LED array coordinates, Z 1 For uniformity of illuminance, Z 2 Z is the heat dissipation effect 3 For the illumination intensity, Z 4 For the lowest total cost, α, β, γ, θ are weights of illuminance uniformity, heat radiation effect, illumination intensity, and the lowest total cost, and α+β+γ+θ=1, respectively.
It should be noted that, the network analysis model is established by calculating the weight proportion of the illuminance uniformity, the heat dissipation effect, the illumination intensity and the lowest total cost of the LED array in the total objective function Z of the network analysis model, so as to optimize the LED array to select the optimal LED array coordinate.
Specifically, as shown in fig. 2, step S110 in fig. 1 specifically further includes the following steps:
111, determining a lamp structure, illumination intensity, an illumination area and an energy saving level according to the use requirements and the use places of users;
112, selecting the types of the LED lamps and the number of the LED lamps according to the lamp structure, the intensity requirement, the illumination area and the energy-saving level.
It should be noted that, according to the LED lamp array wiring method provided by the invention, the illumination area is calculated according to the use requirement and the use place proposed by the user, for example, the LED lamp array wiring method is used as a reading lamp, a pendant lamp, a bedside lamp and the like, for example, a range reference of illumination uniformity and illumination intensity is provided for the user aiming at the reading lamp, and meanwhile, the user can select the lamp structure, for example, the structure can be heart-shaped, round-shaped, rectangular-shaped and the like. In addition, on the premise of processing permission, the user has the greatest freedom degree in selecting the lamp structure to select the appearance structure of the lamp.
Specifically, as shown in fig. 3, step S120 in fig. 1 specifically further includes the following steps:
121, calculating the weight of the initial cost and the operation cost by using an analytic hierarchy process;
122, calculating the weight of each first element set by using the first single criterion;
123 calculating the weight of each of the first element sets using a first multi-criterion;
124, optimizing the total cost of the lamp according to the calculated ownership weight to the lowest total cost;
wherein the first set of elements is generated from a combination of one or more elements of design cost, material cost, production cost, installation cost, maintenance cost, power cost, and LED lamp replacement cost; the first single criterion is based on one of initial cost and operation cost; the first plurality of criteria is based on initial cost and operating cost.
It should be noted that the total cost includes an initial cost and an operation cost, and the initial cost includes a design cost, a material cost, a production cost, and an installation cost; the operating costs include maintenance costs, power costs, and LED lamp replacement costs.
Specifically, as shown in fig. 4, step 122 specifically includes:
1221, establishing a super matrix W by using a network analysis method, and comparing the relative importance of design cost, material cost, production cost and installation cost by taking the total cost as a main criterion and the initial cost as a secondary criterion;
1222, establishing a weight matrix alpha model, comparing and judging each first element set by taking the total cost as a main criterion and the operation cost as a secondary criterion, and obtaining a weight matrix alpha by constructing a judging matrix and calculating a characteristic vector thereof;
1223, establishing a weighted hyper-matrix to solve the weight matrix alpha to obtain the weight of the first element set.
It should be noted that, in step 1221, the total cost of the lamp is optimized by using the network analysis method, specifically, an analysis model is built, where the analysis model uses the total cost as a total target, uses initial cost and operation cost as decision criteria of the analysis model, uses design cost, material cost, installation cost of production cost, maintenance cost, electric power cost and replacement cost of the LED lamp as an element set of a network layer of the analysis model, and indirectly compares the dominance of elements in the element set according to the influence of the elements on the decision criteria.
Specifically, the lamps are meshed and divided to obtain a plurality of groups of LED array coordinates, wherein the LED array coordinates are in a first group L1: (X) 11 ,Y 11 ,Z 11 ;X 12 ,Y 12 ,Z 12 ;……;X 1m ,Y 1m ,Z 1m ) Second group L2: (X) 21 ,Y 21 ,Z 21 ;X 22 ,Y 22 ,Z 22 ;……;X 2m ,Y 2m ,Z 2m ) … …, n-th group Ln: (X) n1 ,Y n1 ,Z n1 ;X 22 ,Y n2 ,Z n2 ;……;X nm ,Y nm ,Z nm ),
Wherein n is the number of groups of LED array coordinates, and m is the number of LED lamps in each group of LED arrays.
It should be noted that, the meshing of the selected lamp structure means that a plurality of LED lamps need to be arranged on the lamp, if the selected lamp is circular, the plane in which the LEDs are placed in the lamp is circular, and we need to mesh the circular plane to generate two-dimensional LED coordinates; similarly, if the lamp appearance structure is rectangular, the rectangle is divided. Meanwhile, the LED array also has the space arrangement condition, namely, not all the LED lamps are arranged on one plane, so that the whole space is subjected to gridding division to generate three-dimensional coordinates; in special use cases, the installation angle of the LED lamp can also be added to the meshing division, i.e. the factor of adding the angle of approach to the three-dimensional coordinates. And in principle, the meshing division should be as fine as possible with the convenience of calculation.
Specifically, as shown in fig. 5, step S150 in fig. 1 specifically further includes the following steps:
151, calculating illuminance uniformity of the LED arrays corresponding to each group of LED array coordinates;
152, performing temperature distribution simulation on the LED arrays, and evaluating the heat dissipation effect of each group of LED arrays;
153, calculating the illumination intensity of each group of the LED arrays;
154, analyzing the weight proportion of the second element set in the network layer of the network analysis model to obtain the weight proportion of the illumination uniformity, the heat dissipation effect, the illumination intensity and the minimum total cost of all the LED arrays;
155, calculating a Z value of a total objective function corresponding to the network analysis model according to the weight proportion obtained by analysis, wherein the LED array coordinate corresponding to the maximum Z value is the optimal LED array coordinate.
In step 151, the illuminance uniformity of each set of LED array coordinates is calculated, and first, a point P (x) of a single LED lamp in each set of LED arrays on the irradiation target plane is calculated i ,y j ,z k ) The illuminance at the place is:then m LED lamps in the array are pointed P (x i ,y j ,z k ) The illumination intensity at the place is: />Wherein X in the expression n 、Y n Respectively representing the coordinates of the nth LED in each group of arrays, I LED The illumination intensity of the center of the LED chip is represented, and the illumination intensity and the emission angle satisfy the formula: i=i LED cos t+1 θ, where θ is the emission angle of the light. The illuminance uniformity is then defined as the ratio of the average value of the illuminance at each point on the illumination plane to the maximum illuminance value, i.e +.>Wherein u is illuminance uniformity, ++>For average illuminance, the average illuminance is expressed as: />E max At maximumThe illuminance value can be calculated to obtain the illuminance uniformity in each group of LED arrays.
In step 152, temperature distribution simulation may be performed on the LED array by ANSYS software, so as to evaluate the heat dissipation efficiency of the LED array, and quantify the heat dissipation efficiency as a heat dissipation effect.
Specifically, as shown in fig. 6, 154 specifically further includes the following steps:
1541, the weight of illuminance uniformity, heat dissipation effect, illumination intensity, minimum total cost of the LED array;
1542, calculating the weight proportion of each second element set by using the second single criterion;
1543, calculating the weight ratio of each of said second element sets using a second plurality of criteria.
Wherein the second single criterion is based on one element of the illuminance uniformity, the heat radiation effect, the illumination intensity and the total cost; the second plurality of criteria is based on two or more elements of the illuminance uniformity, the heat dissipation effect, the illumination intensity, and the total cost.
Specifically, step 1542 specifically further includes the steps of:
15421 comparing the relative importance of the LED array coordinates of other groups by taking the illuminance uniformity as a main criterion and the illuminance of any group of LED array coordinates at a preset point P as a secondary criterion;
15422, establishing a weight matrix a model, taking the optimal LED array coordinates as a main criterion, taking the illuminance uniformity, the heat dissipation effect, the illumination intensity and the total cost as secondary criteria, comparing and judging each second element set, constructing a judgment matrix model and calculating the feature vector of the judgment matrix;
15423, establishing a weighted super matrix to solve the judgment matrix model, and obtaining the weight proportion of illumination uniformity, heat dissipation effect, illumination intensity and the lowest total cost in each group of LED array coordinates.
The weight ratio of the illuminance uniformity, the heat dissipation effect, the illumination intensity, and the minimum total cost of the LED array is calculated to optimize the comprehensive evaluation of the illuminance uniformity, the heat dissipation effect, the illumination intensity, and the minimum total cost of the LED array, thereby selecting the optimal LED array coordinate. Because in the LED array, the α, β, γ, θ illuminance uniformity, heat dissipation effect, illumination intensity, weight of the lowest total cost, and α+β+γ+θ=1, four elements of the illuminance uniformity, heat dissipation effect, illumination intensity, and the lowest total cost are analyzed in the LED array at the ratio, and the analysis is to realize: the illuminance uniformity is the most obvious factor when a user uses the LED lamp, and whether the illuminance uniformity directly affects the illumination effect of the LED lamp or not, so that the first consideration factor of LED array optimization is that the illuminance of the lamp is more uniform; the heat dissipation effect is optimal, because the highest junction temperature born by the LEDs in the working process is 120 ℃, the heat dissipation performance becomes one of the key problems in the wiring design of the LED array, and the reasonable arrangement of the distance between the LED lamps in the LED array is an important scheme for optimizing the heat dissipation effect; the illumination intensity reaches the requirement of clients, the illumination intensity is an important characteristic of illumination, and under different use conditions, users can have different experiences by using different illumination intensities.
In addition, in the practical application scene, the invention is not limited to evaluating the illuminance uniformity, the heat dissipation effect, the illumination intensity and the minimum total cost in the LED array, and other factors can be considered according to the practical requirements.
In addition, in the practical application scene, the wiring mode which best meets the current scene and the requirements of clients can be automatically selected according to the existing LED array wiring mode.
In summary, the total cost of the lamp can be optimized by using a network analysis method according to the use requirement and the use place proposed by a user, the weight proportion analysis is performed on the illumination uniformity, the heat dissipation effect, the illumination intensity and the minimum total cost of the LED arrays corresponding to each group of LED array coordinates by using the network analysis method, the optimal LED array coordinates are selected by the weight proportion, and the LED lamps are wired by the optimal LED array coordinates; the invention provides an optimal LED array distribution method, which can automatically screen an optimal LED array wiring mode for a user, can release the selection right of a lamp structure, can enable the user to have the maximum degree of freedom to select the appearance structure of the lamp on the premise of processing permission, select illuminance uniformity and illumination intensity, and automatically calculate the minimum cost according to the selection of the user so as to enable the lamp to achieve the optimal effect.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.

Claims (8)

1. The LED lamp array wiring method based on the network analysis method is characterized by comprising the following steps of:
step 1, determining a lamp structure, an energy-saving level, the types of the LED lamps and the number of the LED lamps according to the use requirements and the use places of users;
step 2, optimizing the total cost of the lamp by using a network analysis method according to the types of the LED lamps, the number of the LED lamps, the lamp structure and the energy-saving level, so as to obtain the minimum total cost;
step 3, meshing the lamp structure;
step 4, the LED lamps are arranged in the grid in a random combination mode, and a plurality of groups of LED array coordinates are generated;
step 5, carrying out weight proportion analysis on the illumination uniformity, the heat dissipation effect, the illumination intensity and the minimum total cost of the LED arrays corresponding to each group of LED array coordinates through a network analysis model, and selecting the optimal LED array coordinates according to the weight proportion;
step 6, carrying out array wiring on the LED lamps according to the optimal LED array coordinates to obtain optimal LED lamp array wiring;
the step 2 specifically includes:
step 2.1, calculating the weights of initial cost and operation cost by using an analytic hierarchy process;
step 2.2, calculating the weight of each first element set by using a first single criterion;
step 2.3, calculating the weight of each first element set by using a first multi-criterion;
step 2.4, optimizing the total cost of the lamp according to the calculated ownership weight to the minimum total cost;
wherein the first set of elements is generated from a combination of one or more elements of design cost, material cost, production cost, installation cost, maintenance cost, power cost, and LED lamp replacement cost; the first single criterion is based on one of initial cost and operation cost; the first multiple criteria are based on initial cost and operating cost;
the step 2.2 specifically includes:
2.2.1, establishing a super matrix W by using a network analysis method, and comparing the relative importance of design cost, material cost, production cost and installation cost by taking the total cost as a main criterion and the initial cost as a secondary criterion;
2.2.2, establishing a weight matrix alpha model, comparing and judging each first element set by taking the total cost as a main criterion and the operation cost as a secondary criterion, and obtaining a weight matrix alpha by constructing a judgment matrix and calculating a characteristic vector of the judgment matrix;
and 2.2.3, establishing a weighted super matrix to solve a weight matrix alpha to obtain the weight of the first element set.
2. The method for wiring an LED lamp array based on the network analysis method according to claim 1, wherein the step 1 specifically comprises:
step 1.1, determining a lamp structure, illumination intensity, an illumination area and an energy-saving level according to the use requirements and the use places of users;
and 1.2, selecting the types of the LED lamps and the number of the LED lamps according to the lamp structure, the illumination intensity, the illumination area and the energy-saving level.
3. The network analysis based LED lamp array wiring method of claim 1, wherein the total cost includes an initial cost and an operating cost, the initial cost including a design cost, a material cost, a production cost, and an installation cost; the operating costs include maintenance costs, power costs, and LED lamp replacement costs.
4. The method for wiring an LED lamp array based on network analysis according to claim 1, wherein the LED array coordinates are a first group L1: (X) 11 ,Y 11 ,Z 11 ;X 12 ,Y 12 ,Z 12 ;……;X 1m ,Y 1m ,Z 1m ) Second group L2: (X) 21 ,Y 21 ,Z 21 ;X 22 ,Y 22 ,Z 22 ;……;X 2m ,Y 2m ,Z 2m ) … …, n-th group Ln: (X) n1 ,Y n1 ,Z n1 ;X 22 ,Y n2 ,Z n2 ;……;X nm ,Y nm ,Z nm ),
Wherein n is the number of groups of LED array coordinates, and m is the number of LED lamps in each group of LED arrays.
5. The method for wiring the LED lamp array based on the network analysis method according to claim 1, wherein the network analysis model comprises a control layer and a network layer, and the total target of the control layer is comprehensive evaluation of the coordinates of the LED array; the decision criteria of the control layer are illuminance uniformity, heat dissipation effect, illumination intensity and lowest total cost; the network layer is composed of a second element set; the elements in the second element set are generated by one or more of illumination uniformity, heat dissipation effect, illumination intensity and minimum total cost of the LED arrays corresponding to each group of LED array coordinates; the network analysis model is expressed as a total objective function:
Z=maxf(X)=αZ 1 +βZ 2 +λZ 3 +θZ 4
wherein Z is the comprehensive evaluation value of the LED array coordinates, Z 1 For uniformity of illuminance, Z 2 Z is the heat dissipation effect 3 For the illumination intensity, Z 4 For the lowest total cost, α, β, γ, θ are weights of illuminance uniformity, heat radiation effect, illumination intensity, and the lowest total cost, and α+β+γ+θ=1, respectively.
6. The method for wiring an LED lamp array based on the network analysis method according to claim 1 or 4, wherein the step 5 specifically comprises:
step 5.1, calculating illuminance uniformity of the LED arrays corresponding to each group of LED array coordinates;
step 5.2, performing temperature distribution simulation on the LED arrays, and evaluating the heat dissipation effect of each group of LED arrays;
step 5.3, calculating the illumination intensity of each group of LED arrays;
step 5.4, analyzing the weight proportion of the second element set in the network layer of the network analysis model to obtain the weight proportion of the illumination uniformity, the heat dissipation effect, the illumination intensity and the lowest total cost of all the LED arrays;
and 5.5, calculating the Z value of the total objective function corresponding to the network analysis model according to the weight proportion obtained by analysis, wherein the LED array coordinate corresponding to the maximum Z value is the optimal LED array coordinate.
7. The method for wiring an LED lamp array based on the network analysis method according to claim 6, wherein said step 5.5 specifically comprises:
step 5.4.1, calculating the weight of the illumination uniformity, the heat dissipation effect, the illumination intensity and the lowest total cost of the LED array;
step 5.4.2, calculating the weight proportion of each second element set by using a second single criterion;
step 5.4.3, calculating the weight proportion of each second element set by using a second multi-criterion;
wherein the second single criterion is based on one element of the illuminance uniformity, the heat radiation effect, the illumination intensity and the total cost; the second plurality of criteria is based on two or more elements of the illuminance uniformity, the heat dissipation effect, the illumination intensity, and the total cost.
8. The method for wiring an LED lamp array based on network analysis according to claim 7, wherein said step 5.4.2 specifically comprises:
step 5.4.2.1, comparing the relative importance of the LED array coordinates of other groups by taking the illuminance uniformity as a main criterion and the illuminance of any group of LED array coordinates at a preset point P as a secondary criterion;
step 5.4.2.2, establishing a weight matrix a model, taking the optimal LED array coordinates as a main criterion, taking the illuminance uniformity, the heat radiation effect, the illumination intensity and the total cost as secondary criteria, comparing and judging each second element set, constructing a judgment matrix model and calculating the feature vector of the judgment matrix;
and 5.4.2.3, establishing a weighted super matrix to solve the judgment matrix model, and obtaining the weight proportion of illumination uniformity, heat dissipation effect, illumination intensity and the lowest total cost in each group of LED array coordinates.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102956807A (en) * 2012-11-26 2013-03-06 福建省能宝光电集团有限公司 Efficiently integrated LED (Light Emitting Diode) light source
CN103377302A (en) * 2012-04-28 2013-10-30 深圳大学 Road lighting optimized designing method based on state index mathematic model
CN104918369A (en) * 2015-06-29 2015-09-16 常州千明智能照明科技有限公司 LED light source-based functional lighting system
CN105517233A (en) * 2015-12-21 2016-04-20 重庆绿色科技开发有限公司 Multi-color-temperature anti-haze LED intelligent control method and street lamp based on combination of multiple light sources

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9134534B2 (en) * 2010-02-28 2015-09-15 Microsoft Technology Licensing, Llc See-through near-eye display glasses including a modular image source

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103377302A (en) * 2012-04-28 2013-10-30 深圳大学 Road lighting optimized designing method based on state index mathematic model
CN102956807A (en) * 2012-11-26 2013-03-06 福建省能宝光电集团有限公司 Efficiently integrated LED (Light Emitting Diode) light source
CN104918369A (en) * 2015-06-29 2015-09-16 常州千明智能照明科技有限公司 LED light source-based functional lighting system
CN105517233A (en) * 2015-12-21 2016-04-20 重庆绿色科技开发有限公司 Multi-color-temperature anti-haze LED intelligent control method and street lamp based on combination of multiple light sources

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
"Uniform Illumination Rendering Using an Array of LEDs:A Signal Processing Perspective";H.Yang等;《IEEE Transactions on Signal Processing》;第1044-1057页 *
"高校体育馆主空间光环境评价指标体系研究";白欣玉;《中国优秀硕士学位论文全文数据库 工程科技II辑》;20180815(第8期);正文第2.1-2.3,4.2节 *

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