CN111274650B - Cabin arrangement optimization method - Google Patents
Cabin arrangement optimization method Download PDFInfo
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- CN111274650B CN111274650B CN202010100048.5A CN202010100048A CN111274650B CN 111274650 B CN111274650 B CN 111274650B CN 202010100048 A CN202010100048 A CN 202010100048A CN 111274650 B CN111274650 B CN 111274650B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/004—Artificial life, i.e. computing arrangements simulating life
- G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
Abstract
The invention belongs to the field of cabin arrangement optimization of ships or marine structures, and relates to a cabin arrangement optimization method based on an improved particle swarm algorithm, which specifically comprises the following steps: a nacelle arrangement optimization method applied to nacelle equipment, characterized in that the nacelle equipment is arranged at different positions to form a corresponding arrangement, and a plurality of different arrangement attributes are set for representing the arrangement of the nacelle equipment; the cabin arrangement optimization method specifically comprises the following steps: step 1, selecting a plurality of arrangement attributes from all the arrangement attributes to be included in a joint arrangement criterion; step 2, processing according to a joint arrangement criterion to obtain an optimal arrangement mode of cabin equipment; step 3, establishing a virtual cabin three-dimensional system according to the optimal arrangement mode; step 4, judging whether the cabin three-dimensional system completely accords with all arrangement attributes: if yes, ending; the beneficial effects of the technical scheme are as follows: the arrangement efficiency of cabin equipment is improved, and the three-dimensional lofting period of shipyard construction is shortened.
Description
Technical Field
The invention relates to the field of cabin arrangement optimization of ships or marine structures, in particular to a cabin arrangement optimization method.
Background
The common design method for arranging the ship or marine structure engine room is mostly based on the interactive mode provided by a CAD system, and the design is repeated and gradually adjusted, so that the design process of arranging the ship engine room is tedious and lengthy, and the efficiency is low. The equipment in the cabin area is numerous, the relative position and relation are complex, and the requirements of equipment operation conditions, equipment maintenance space and the like are required to be met, so the design efficiency is extremely low.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, the present invention provides a nacelle arrangement optimization method, applied to nacelle equipment, characterized in that the nacelle equipment is arranged at different positions to form a corresponding arrangement, and a plurality of different arrangement attributes are provided for representing the arrangement of the nacelle equipment; the cabin arrangement optimization method specifically comprises the following steps:
step 1, selecting a plurality of arrangement attributes from all the arrangement attributes to be included in a joint arrangement criterion;
step 2, processing according to the joint arrangement criterion to obtain an optimal arrangement mode of the cabin equipment;
step 3, establishing a virtual cabin three-dimensional system according to the optimal arrangement mode;
step 4, judging whether the cabin three-dimensional system completely accords with all the arrangement attributes:
if yes, ending;
if not, returning to the step 2 to retrieve the optimal arrangement mode.
Preferably, in the step 2, the optimal arrangement mode is obtained by adopting the following formula according to the joint arrangement criterion:
wherein, the liquid crystal display device comprises a liquid crystal display device,
f (X) is used for representing the value corresponding to the arrangement mode;
x is used to represent the arrangement;
q is used to represent the total number of all of the arrangement attributes selected;
f p (X) for representing the placement property, p for representing a ranking number of the placement property in the selected placement property;
ω p the weight coefficient is used for representing the arrangement attribute;
and taking the arrangement mode corresponding to the minimum value of F (X) as the optimal arrangement mode.
Preferably, values of all the arrangement modes are distributed in a value space; in the step 2, an improved particle swarm algorithm is adopted to realize the uniform distribution adjustment of the values of the arrangement mode;
the improved particle swarm algorithm comprises a calculation process of a population distribution entropy, and is specifically obtained by processing the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
e (X) is used for representing the population distribution entropy of the values of all the arrangement modes;
x is used to represent the arrangement;
t is used for representing the number of all the arrangement modes;
q s (X) is used to represent the probability that the arrangement occurs in a specific value region, s is used to represent the ranking number of the arrangement in all the arrangements;
the improved particle swarm algorithm also comprises a calculation process of an average particle distance, and the method is specifically obtained by adopting the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
d (X) is used to represent the mean particle distance of all the values of the arrangement modes;
n is used for representing the total number of all the cabin equipment corresponding to the arrangement mode;
l is used for representing the longest radius of the value space;
the d-th dimensional coordinate value is used for representing the cabin equipment in the arrangement mode, i is used for representing the sequence numbers of the cabin equipment in all cabin equipment, and d is used for representing the dimension of the coordinates;
for representing the average value of the d-th dimensional coordinates of all the cabin equipment.
In the step 2, the positions of the values of all the arrangement modes in the value space are dynamically adjusted, so that the population distribution entropy and the average grain distance are both maximized as much as possible.
Preferably, the arrangement attribute comprises cabin stability;
the value corresponding to the cabin stability comprises at least one of a first stable value used for representing the longitudinal stability of the cabin and a second stable value used for representing the height stability of the cabin.
Preferably, the first stable value is calculated using the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
x is used to represent the arrangement;
f 1 (X) for representing the first stable value;
n is used to represent the total number of all said nacelle apparatuses;
m i the method comprises the steps of representing the corresponding quality of the cabin equipment in the arrangement mode, wherein i is used for representing the sequence numbers of the cabin equipment in all the cabin equipment;
x iy for representing the longitudinal position coordinate values of the cabin equipment.
Preferably, the first stable value is calculated using the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
x is used to represent the arrangement;
f 2 (X) for representing the second stable value;
n is used to represent the total number of all said nacelle apparatuses;
m i the method comprises the steps of representing the corresponding quality of the cabin equipment in the arrangement mode, wherein i is used for representing the sequence numbers of the cabin equipment in all the cabin equipment;
x iz for representing the longitudinal position coordinate values of the cabin equipment.
Preferably, the arrangement attribute includes personnel mobility, and the value corresponding to the personnel mobility is a third stable value, where the third stable value is expressed by the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
x is used to represent the arrangement;
f 3 (X) for representing the third stable value;
n is used to represent the total number of all said nacelle apparatuses;
γ i the weight coefficient is used for representing the corresponding functional area of the cabin equipment in the arrangement mode, and i is used for representing the sequence numbers of the cabin equipment in all the cabin equipment;
T i for indicating the distance of the security channel from the functional area;
L ij for representing the distance between different equipment areas corresponding to different ones of said cabin equipment.
Preferably, the arrangement attribute includes man-machine efficacy, and the value corresponding to the man-machine efficacy is a fourth stable value, where the fourth stable value is expressed by the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
x is used to represent the arrangement;
f 4 (X) for representing the fourth stable value;
e is used to represent the total number of cabin equipment within a ergonomic specification;
|x i -x j i is used to represent the distance between different cabin devices in the arrangement, i and j are used to represent the sequence numbers of different cabin devices in all the cabin devices;
O ij for representing the man-machine effectAn optimal distance between different ones of the cabin equipment is specified.
Preferably, the arrangement attribute includes a nacelle equipment boundary, a value corresponding to the nacelle equipment boundary is a fifth stable value, and the fifth stable value is expressed by the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
x is used to represent the arrangement;
f 5 (X) for representing the fifth stable value;
x ix a transverse position coordinate value for representing the cabin equipment in the arrangement;
x B for representing boundary position values of the nacelle.
Preferably, the arrangement attribute includes a nacelle equipment installation height, and a value corresponding to the nacelle equipment installation height is a sixth stable value, where the sixth stable value is expressed by the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
x is used to represent the arrangement;
f 6 (X) for representing the sixth stable value;
x ix a transverse position coordinate value for representing the cabin equipment in the arrangement;
x B for representing a base position value of the nacelle.
Preferably, the arrangement attribute includes a cabin equipment replenishment, a value corresponding to the cabin equipment replenishment is a seventh stable value, and the seventh stable value adopts the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
x is used to represent the arrangement;
f 7 (X) for representing the seventh stable value;
x ix a transverse position coordinate value for representing the cabin equipment in the arrangement;
x T for representing a tank position value of the tank.
The beneficial effects of the technical scheme are as follows: the arrangement efficiency of cabin equipment is improved, and the three-dimensional lofting period of shipyard construction is shortened.
Drawings
FIG. 1 is a flow chart of a preferred embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other.
The invention provides a cabin arrangement optimization method which is applied to cabin equipment and is characterized in that a plurality of different arrangement attributes are set for representing the arrangement mode of the cabin equipment; as shown in fig. 1, the nacelle arrangement optimization method specifically includes:
step 1, selecting a plurality of arrangement attributes from all the arrangement attributes to be included in a joint arrangement criterion;
step 2, processing according to a joint arrangement criterion to obtain an optimal arrangement mode of cabin equipment;
step 3, establishing a virtual cabin three-dimensional system according to the optimal arrangement mode;
step 4, judging whether the cabin three-dimensional system completely accords with all arrangement attributes:
if yes, ending;
if not, returning to the step 2 to retrieve the optimal arrangement mode.
Specifically, a plurality of cabin equipment are arranged in the cabin, different cabin equipment are arranged at different positions to correspondingly form an arrangement mode, and a plurality of cabin equipment arrangement attributes f are preset 1 (x),f 2 (x),…,f 7 (x) The method comprises the steps of representing the arrangement mode of cabin equipment, selecting a plurality of cabin equipment arrangement attributes from all arrangement attributes to form a joint arrangement rule, constructing an improved particle swarm algorithm according to particle swarm distribution entropy and average particle distance, processing the joint arrangement rule by utilizing the improved particle swarm algorithm to obtain the optimal arrangement mode of the cabin equipment, importing the optimal arrangement mode into a CATIA three-dimensional model, establishing a virtual cabin three-dimensional system, judging whether the cabin three-dimensional system at the moment completely accords with all preset arrangement attributes, if so, using the optimal arrangement mode at the moment as the optimal arrangement mode of the cabin equipment, and if not, processing the joint arrangement rule by utilizing the improved particle swarm algorithm again to obtain the optimal arrangement mode.
In a preferred embodiment of the present invention, in step 2, according to the joint arrangement criterion, the following formula is adopted to obtain the optimal arrangement mode:
wherein, the liquid crystal display device comprises a liquid crystal display device,
f (X) is used for representing the value corresponding to the arrangement mode;
x is used to represent the arrangement;
q is used to represent the total number of all arrangement attributes selected;
f p (X) for representing the placement property, p for representing the ranking number of the placement property in the selected placement property;
ω p the weight coefficient is used for representing the arrangement attribute correspondence;
and taking the arrangement mode corresponding to the minimum value of F (X) as the optimal arrangement mode.
Specifically, a linear weighting method is adopted to establish a joint arrangement criterion according to the selected arrangement attribute, so that an arrangement mode corresponding to the minimum value of F (X) is used as an optimal arrangement mode, for example, when only the cabin stability in the arrangement attribute is selected as the joint arrangement criterion, according to the common knowledge in the field, the position of the gravity center is on the horizontal plane and is on the rear, and when the gravity center is on the vertical plane and is on the lower side, the ship can meet the strong wind and the strong wave on the sea surface, and the ship can stably run, so that the ship can not be overturned due to the fact that the gravity center is on the front or the high, and therefore, the first stable value and the second stable value included in the cabin stability value are smaller and better.
In a preferred embodiment of the present invention, values of all the arrangement modes are distributed in a value space; in the step 2, a modified particle swarm algorithm is adopted to realize the uniform distribution adjustment of the values of the arrangement mode;
the improved particle swarm algorithm comprises a calculation process of population distribution entropy, which is specifically obtained by adopting the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
e (X) is used for representing the population distribution entropy of the values of all the arrangement modes;
x is used to represent the arrangement;
t is used for representing the number of all the arrangement modes;
q s (X) is used for representing the probability that the arrangement mode appears in a specific value area, and s is used for representing the sequence numbers of the arrangement modes in all the arrangement modes;
the improved particle swarm algorithm also comprises a calculation process of an average particle distance, which is specifically obtained by adopting the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
d (X) is used to represent the mean particle distance of the values of all the arrangements;
n is used for representing the total number of all cabin equipment corresponding to the arrangement mode;
l is used for representing the longest radius of the value space;
d-th dimensional coordinate value for representing the cabin equipment, i for representing the sequence number of the cabin equipment in all cabin equipment, d for representing the dimension of the coordinates;
for representing the d-th dimensional coordinate average of all cabin equipment.
In the step 2, the positions of the values of all the arrangement modes in the value space are dynamically adjusted, so that the population distribution entropy and the average grain distance are both maximized as much as possible.
Specifically, the cabin space is regarded as a 3-dimensional search space, divided into a transverse direction, a longitudinal direction and a height direction, and respectively expressed as an x direction, a y direction and a z direction, and one arrangement mode of the cabin equipment is regarded as one particle, so that the whole particle group is expressed as:
wherein the ith particle X i For indicating the current arrangement, which in turn comprises all cabin equipment, also corresponds to the value of the ith particle in the population of particles, in particular denoted X i ＝(X i 1 ,X i 2 ,…,X i n )，X i 1 Numerical values are arranged for the 1 st cabin device, wherein the position of the i-th cabin device in the cabin space is (X i ix ,X i iy ,X i iz ) In the following description, for simplicity of numerical representation, it is also possible to use (X ix ,X iy ,X iz ) The arrangement of the ith nacelle equipment in the default current arrangement.
The locally optimal arrangement mode of the ith particle is thatThe overall arrangement mode of the whole particle swarm is P g ＝(x g ,y g ,z g ) Each particle has a certain speed V in the process of solving the optimal solution i ＝(v xi ,v yi ,v zi ) The iterative updating is performed, and the basic characteristic of the particle swarm algorithm is information sharing in the solving process, so that the particle is influenced by a local optimal solution and a global optimal solution in the iterative process to change the next iterative result of the particle, for example, the division speed of the ith particle in the x direction after the kth iteration is as follows:
the position of the ith particle in the x-direction after the kth iteration is:
wherein, the liquid crystal display device comprises a liquid crystal display device,for the component speed in the current x-direction of the kth iteration,/and/or>For the current x-direction position of the kth iteration,/->And->Is in [0,1 ]]Random numbers uniformly distributed in interval c 1 And c 2 Is a learning factor, respectively adjusts the maximum step length of the overall best particle and the individual best particle to fly, if too small, the particles may be far away from the target area, if too large, the particles may cause abrupt flying to the target or across the target area, c is proper 1 And c 2 The convergence process can be quickened and the local optimum is not easily trapped. Maximum velocity v max Determines the speed of the problem space search, the component speed in each direction of the particles such as v xi ，v yi ，v zi Will be limited to [ -v max ,v max ]Between, assuming that the x-direction of the search space is defined as the interval, then by v xidmax ＝k·v xidmax K is more than or equal to 0.1 and less than or equal to 0.2, and the same setting method is used in each direction.
However, in the solving process of the general particle swarm algorithm, when the particles in the particle swarm are too concentrated in a specific area due to the uneven distribution of the whole particle swarm, the diversity of the particle swarm is lost, the shared information transmitted among the particles is limited in the area, when the particle swarm is iterated next time, the speed and the position change of the particles are small, the position concentration speed of the whole particle swarm is slow, the convergence is easy in advance, and the obtained solution is trapped in a local minimum point.
Conversely, when the particle swarm is distributed more uniformly, the probability that the particle individual appears in the specific area is smaller, the searching range in the particle swarm is enlarged, the convergence speed of the particle swarm is slower, the early convergence can be avoided, and at this time, the probability of sinking into the local optimal solution is smaller. For the reasons, the optimization precision is improved, the continuous convergence of the whole solving process is ensured,
therefore, an improved particle swarm algorithm is constructed by introducing particle swarm distribution entropy and average particle distance, the particle swarm distribution entropy is defined by simulating the concept of information entropy, the probability that an individual particle appears in a specific area is obtained by equally dividing the whole search space by adopting a formula (2), and the average particle distance represents the distance between particles of the particle swarm by adopting the following formula (3) to describe the distribution state between the particles.
In the process that particles of the particle swarm are in aggregation, when particles of the particle swarm are concentrated in a small area, the larger the occurrence probability of the particle swarm is, the smaller the particle swarm distribution entropy value E (t) is, the average grain distance value D (t) is gradually reduced, at the moment, the diversity of the particle swarm is lost, and when the particle swarm distribution is uniform, the smaller the occurrence probability of the particle swarm is, the larger the particle swarm distribution entropy value E (t) is, the population particles are scattered, and the average grain distance value is also larger.
When the particle swarm algorithm is used for solving the joint arrangement criterion, the particle swarm distribution entropy and the average particle distance are used for improving the diversity of the particle swarm, so that the early convergence is avoided, and the optimal cabin equipment arrangement mode is obtained.
In a preferred embodiment of the invention, the arrangement properties include cabin stability;
the value corresponding to the cabin stability comprises at least one of a first stable value used for representing the longitudinal stability of the cabin and a second stable value used for representing the height stability of the cabin.
In a preferred embodiment of the present invention, the following formula is used to calculate the first stable value:
wherein, the liquid crystal display device comprises a liquid crystal display device,
x is used to represent the arrangement;
f 1 (x) For representing a first stable value;
n is used to represent the total number of all nacelle equipment;
m i the method comprises the steps of (1) representing the corresponding quality of the cabin equipment in the arrangement mode, wherein i is used for representing the sequence numbers of the cabin equipment in all cabin equipment;
x iy for representing the longitudinal position coordinate values of the cabin equipment.
In a preferred embodiment of the present invention, the following formula is used to calculate the first stable value:
wherein, the liquid crystal display device comprises a liquid crystal display device,
x is used to represent the arrangement;
f 2 (X) is used to represent a second stable value;
n is used to represent the total number of all nacelle equipment;
m i the method comprises the steps of (1) representing the corresponding quality of the cabin equipment in the arrangement mode, wherein i is used for representing the sequence numbers of the cabin equipment in all cabin equipment;
x iz for representing the longitudinal position coordinate values of the cabin equipment in the arrangement.
Specifically, the arrangement mode of the cabin equipment in the cabin of the ship can influence the gravity center position of the ship, the gravity center position of the ship can influence the stability of the ship in navigation, and if the gravity center position of the ship is too high, the moment applied to the ship during turning can be too large to cause the ship to turn over in consideration of the influence of sea wind on the sea surface. Since the moment algebraic sum has a well-defined mathematical relationship with the center of gravity, the moment algebraic sum of the nacelle is used to define the nacelle stability.
Dividing the space in the cabin by a Cartesian coordinate system, taking a propeller at the stern as an origin of the coordinate system, taking the transverse direction as the x-axis direction, taking the longitudinal direction as the y-axis direction, taking the height direction as the z-axis direction, marking each cabin equipment, and obtaining the algebraic sum f of the moment of the cabin in the longitudinal direction when the cabin equipment is arranged according to the arrangement mode of the cabin equipment at the moment by utilizing a formula (7) 1 (x) From this, a first stable value representing the longitudinal stability of the nacelle can be used to derive the algebraic sum f of the moments of the nacelle in the height direction when the nacelle equipment arrangement is now arranged using equation (8) 2 (x) Whereby a second stable value indicative of the nacelle's height stability may be selected, at least one of the first stable value and the second stable value being indicative of the nacelle's stability.
In a preferred embodiment of the present invention, the arrangement attribute includes personnel mobility, and the value corresponding to the personnel mobility is a third stable value, where the third stable value is expressed by the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
x is used to represent the arrangement;
f 3 (X) is used to represent a third stable value;
n is used to represent the total number of all nacelle equipment;
γ i the weight coefficient is used for representing the corresponding functional area of the cabin equipment in the arrangement mode, and i is used for representing the sequence numbers of the cabin equipment in all cabin equipment;
T i for indicating the distance of the security channel from the functional area;
L ij for representing the distance between different equipment areas corresponding to different cabin equipment.
Specifically, during ship transportation, a worker who conveniently controls cabin equipment can quickly evacuate, the cabin equipment arrangement mode in the cabin is limited by adopting the fluidity of the worker, the cabin equipment has different functions, the cabin equipment arrangement modes with different functions are also different, for example, a diesel engine with a driving function is usually arranged at the bottommost layer of the cabin, an exhaust fan with an exhaust function is usually arranged at the upper layer of the cabin, and the distance T between a safe circulation channel and a functional area is formed i The following formula is used for calculation:
T i ＝|x ix -x d |+|x iy -y d | (10)
wherein x is ix For the coordinate value x of the transverse position of the ith cabin equipment in the cabin space in the current arrangement iy For the longitudinal position coordinate value, x, of the ith cabin equipment in the cabin space in the current arrangement d Coordinate value of transverse position of the d-th safety circulation channel in cabin space, y d Is the longitudinal position coordinate value of the d-th safety circulation channel in the cabin space.
Taking into account ship fortuneWhen the accident occurs, the accident-related equipment is maintained by the accident-related personnel, so that the personnel mobility principle also includes the circulation distance L between the equipment ij The following formula is used for calculation:
L ij ＝|x ix -x jx |+|x iy -x jy | (11)
wherein x is jx For the value of the transverse position, x, of the jth nacelle device in the current arrangement in the nacelle space jy The longitudinal position value of the jth cabin device in the cabin space in the current arrangement mode.
In a preferred embodiment of the present invention, the layout attribute includes man-machine efficacy, and the value corresponding to the man-machine efficacy is a fourth stable value, where the fourth stable value is expressed by the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
f 4 (X) is used to represent a fourth stable value;
e is used to represent the total number of cabin equipment within the ergonomic rules;
|x i -x j i is used to represent the distance between different cabin devices in the arrangement, i and j are used to represent the sequence numbers of the different cabin devices in all cabin devices;
O ij for representing the optimal distance between the different cabin equipment specified by the human-machine efficacy.
Specifically, in order to ensure that the equipment in the cabin is convenient to operate and maintain, an operator can reach the equipment to be maintained as soon as possible, the cabin equipment arrangement mode in the cabin is limited by adopting man-machine efficiency, and the smaller the distance between the equipment is under the setting of the optimal distance meeting the equipment requirement, so that the simplicity of the operation and maintenance of the equipment in the cabin can be ensured.
In a preferred embodiment of the present invention, the arrangement attribute includes a boundary of the cabin equipment, a value corresponding to the boundary of the cabin equipment is a fifth stable value, and the fifth stable value is expressed by the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
x is used to represent the arrangement;
f 5 (X) is used to represent a fifth stable value;
x ix a transverse position coordinate value for representing the cabin equipment in the arrangement;
x B for representing boundary position values of the nacelle.
In particular, ensuring that the cabin equipment can maximally utilize the cabin space in the arrangement process, and limiting the cabin equipment arrangement mode in the cabin by adopting the boundary of the cabin equipment, and X ix -X B Is the distance between the cabin equipment and the cabin boundary.
In a preferred embodiment of the present invention, the arrangement attribute includes a nacelle equipment installation height, and the value corresponding to the nacelle equipment installation height is a sixth stable value, where the sixth stable value is expressed by the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
x is used to represent the arrangement;
f 6 (X) is used to represent a sixth stable value;
x ix a transverse position coordinate value for representing the cabin equipment in the arrangement;
x B for representing the base position value of the nacelle.
In particular, ensuring that the cabin equipment is properly installed, thus defining the arrangement of the cabin equipment in the cabin, X, using the cabin equipment installation height principle ix -X F A base height value for equipment installation.
In a preferred embodiment of the present invention, the arrangement attribute includes a cabin equipment replenishment, a value corresponding to the cabin equipment replenishment is a seventh stable value, and the seventh stable value adopts the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
x is used to represent the arrangement;
f 7 (X) is used to represent a seventh stable value;
x ix a transverse position coordinate value for representing the cabin equipment in the arrangement;
x T for representing the cabin tank position value of the cabin.
In particular, in order to ensure that the equipment, which is partly required to be equipped with a tank for replenishing the liquid medium, works properly, the cabin equipment arrangement in the cabin is defined by adopting the cabin equipment replenishment principle, X ix -X T For the distance between the cabin equipment and the cabin
In addition, in the solving process, a plurality of optimal solutions may be obtained to obtain a plurality of optimal arrangement modes, and the cabin equipment in the optimal arrangement modes may not meet the installation requirement of the cabin equipment, so in step 3, a cabin three-dimensional system is established according to the optimal arrangement modes, and at this time, the optimal arrangement modes obtained by solving may be led into the CATIA three-dimensional model to establish the cabin three-dimensional system. And 4, judging whether the obtained optimal arrangement mode is suitable for a preset cabin equipment arrangement principle, if so, taking the optimal arrangement mode at the moment as an arrangement mode of cabin equipment, and if not, adjusting the optimal arrangement mode at the moment, and solving a joint arrangement criterion by an improved particle swarm algorithm.
The foregoing is merely illustrative of the preferred embodiments of the present invention and is not intended to limit the embodiments and scope of the present invention, and it should be appreciated by those skilled in the art that equivalent substitutions and obvious variations may be made using the description and illustrations of the present invention, and are intended to be included in the scope of the present invention.
Claims (9)
1. A nacelle arrangement optimization method applied to nacelle equipment, characterized in that the nacelle equipment is arranged at different positions to form a corresponding arrangement, and a plurality of different arrangement attributes are provided for representing the arrangement of the nacelle equipment; the cabin arrangement optimization method specifically comprises the following steps:
step 1, selecting a plurality of arrangement attributes from all the arrangement attributes to form a joint arrangement criterion;
step 2, processing the combined layout criterion according to an improved particle swarm algorithm to obtain an optimal layout mode of the cabin equipment;
step 3, establishing a virtual cabin three-dimensional system according to the optimal arrangement mode;
step 4, judging whether the cabin three-dimensional system completely accords with all the arrangement attributes: if yes, the optimal arrangement mode at the moment is the optimal arrangement mode of the cabin equipment, and the process is finished;
if not, returning to the step 2 to retrieve the optimal arrangement mode;
in the step 2, the optimal arrangement mode is obtained by adopting the following formula processing according to the joint arrangement criterion:
wherein, the liquid crystal display device comprises a liquid crystal display device,
f (X) is used for representing the value corresponding to the arrangement mode;
x is used to represent the arrangement;
q is used to represent the total number of all of the arrangement attributes selected;
f p (X) for representing the placement property, p for representing a ranking number of the placement property in the selected placement property;
ω p the weight coefficient is used for representing the arrangement attribute;
taking the arrangement mode corresponding to the minimum value of F (X) as the optimal arrangement mode;
distributing the values of all the arrangement modes in a value space; in the step 2, an improved particle swarm algorithm is adopted to realize the uniform distribution adjustment of the values of the arrangement mode; the improved particle swarm algorithm comprises a calculation process of a population distribution entropy, and is specifically obtained by processing the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
e (X) is used for representing the population distribution entropy of the values of all the arrangement modes;
x is used to represent the arrangement;
t is used for representing the number of all the arrangement modes;
q s (X) is used to represent the probability that the arrangement occurs in a specific value region, s is used to represent the ranking number of the arrangement in all the arrangements;
the improved particle swarm algorithm also comprises a calculation process of an average particle distance, and the method is specifically obtained by adopting the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
d (X) is used to represent the mean particle distance of all the values of the arrangement modes;
n is used for representing the total number of all the cabin equipment corresponding to the arrangement mode;
l is used for representing the longest radius of the value space;
for representing the d-th dimensional coordinate value of the nacelle equipment in the arrangement, i forRepresenting the sequence numbers of the cabin equipment in all cabin equipment, and d is used for representing the dimension of the coordinates;
a d-th dimensional coordinate average for representing all of the cabin equipment;
in the step 2, the positions of the values of all the arrangement modes in the value space are dynamically adjusted, so that the population distribution entropy and the average grain distance are both maximized as much as possible.
2. A nacelle layout optimization method according to claim 1, wherein the layout attributes include nacelle stability;
the value corresponding to the cabin stability comprises at least one of a first stable value used for representing the longitudinal stability of the cabin and a second stable value used for representing the height stability of the cabin.
3. A nacelle arrangement optimization method according to claim 2, wherein the first stable value is calculated using the formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
x is used to represent the arrangement;
f 1 (X) for representing the first stable value;
n is used to represent the total number of all said nacelle apparatuses;
m i the method comprises the steps of representing the corresponding quality of the cabin equipment in the arrangement mode, wherein i is used for representing the sequence numbers of the cabin equipment in all the cabin equipment;
x iy for representing the longitudinal position coordinate values of the cabin equipment.
4. A nacelle arrangement optimisation method according to claim 2, wherein the second stable value is calculated using the formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
x is used to represent the arrangement;
f 2 (X) for representing the second stable value;
n is used to represent the total number of all said nacelle apparatuses;
m i the method comprises the steps of representing the corresponding quality of the cabin equipment in the arrangement mode, wherein i is used for representing the sequence numbers of the cabin equipment in all the cabin equipment;
x iz for representing the longitudinal position coordinate values of the cabin equipment.
5. The nacelle layout optimization method according to claim 1, wherein the layout attribute comprises personnel mobility, and a value corresponding to the personnel mobility is a third stable value, and the third stable value is expressed by adopting the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
x is used to represent the arrangement;
f 3 (X) for representing the third stable value;
n is used to represent the total number of all said nacelle apparatuses;
γ i the weight coefficient is used for representing the corresponding functional area of the cabin equipment in the arrangement mode, and i is used for representing the sequence numbers of the cabin equipment in all the cabin equipment;
T i for indicating a secure channelThe distance of the functional area;
L ij for representing the distance between different equipment areas corresponding to different ones of said cabin equipment.
6. Nacelle layout optimization method according to claim 1, wherein the layout attribute comprises man-machine efficacy, and the value corresponding to the man-machine efficacy is a fourth stable value, and the fourth stable value is represented by the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
x is used to represent the arrangement;
f 4 (X) for representing the fourth stable value;
e is used to represent the total number of cabin equipment within a ergonomic specification;
|x i -x j i is used to represent the distance between different cabin devices in the arrangement, i and j are used to represent the sequence numbers of different cabin devices in all the cabin devices;
O ij for representing an optimal distance between different ones of said cabin equipment as specified by said ergonomic effect.
7. A nacelle arrangement optimization method according to claim 1, wherein the arrangement attribute includes a nacelle equipment boundary, and the nacelle equipment boundary corresponds to a fifth stable value, where the fifth stable value is represented by the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
x is used to represent the arrangement;
f 5 (X) For representing the fifth stable value;
x ix a transverse position coordinate value for representing the cabin equipment in the arrangement;
x B for representing boundary position values of the nacelle.
8. A nacelle arrangement optimization method according to claim 1, wherein the arrangement attribute includes a nacelle equipment installation height, and the nacelle equipment installation height corresponds to a sixth stable value, where the sixth stable value is represented by the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
x is used to represent the arrangement;
f 6 (X) for representing the sixth stable value;
x ix a transverse position coordinate value for representing the cabin equipment in the arrangement;
x B for representing a base position value of the nacelle.
9. A nacelle arrangement optimization method according to claim 1, wherein the arrangement attribute includes a nacelle equipment supply, and the nacelle equipment supply corresponds to a seventh stable value, and the seventh stable value adopts the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,
x is used to represent the arrangement;
f 7 (X) for representing the seventh stable value;
x ix transverse for representing the nacelle equipment in the arrangementA position coordinate value;
x T for representing a tank position value of the tank.
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