CN108956262B - Method for testing mechanical property of polygonal building film structure - Google Patents
Method for testing mechanical property of polygonal building film structure Download PDFInfo
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- CN108956262B CN108956262B CN201810528291.XA CN201810528291A CN108956262B CN 108956262 B CN108956262 B CN 108956262B CN 201810528291 A CN201810528291 A CN 201810528291A CN 108956262 B CN108956262 B CN 108956262B
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
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Abstract
The invention belongs to the technical field of building structure testing, and discloses a method for testing the mechanical property of a polygonal building film structure, which comprises the following steps: the device comprises a curvature detection module, a hardness detection module, a weight detection module, a central control module, an environment simulation module, a test data storage module, a cloud service module and a display module; meanwhile, a method for testing the mechanical property of the polygonal building film structure is disclosed. The invention can simulate real factors of natural environment to test through the environment simulation module, thereby greatly improving the reliability of test results and enriching test modes; meanwhile, the cloud service module can be used for analyzing the test performance data by using the cloud server to centralize big data computing resources, so that the data processing speed is greatly increased, the test period is shortened, and the test efficiency is improved.
Description
Technical Field
The invention belongs to the technical field of building structure testing, and particularly relates to a method for testing the mechanical property of a polygonal building film structure.
Background
Currently, the current state of the art commonly used in the industry is such that:
the membrane structure is a novel large-span spatial structure developed in recent decades, and is a spatial structure form which bears a certain external load and is formed by a certain rigid spatial structure shape formed by a fabric (membrane material) with excellent performance through a supporting member (such as a rigid beam, a column and a flexible cable) or by pressurizing air in a membrane in a certain mode and applying proper initial pretension. Its history can be traced back to the ancient times where people built tents using the fiber and hide of trees. The membrane structure is a brand new building structure form, integrates the building science, the structure mechanics, the fine chemical industry, the material science, the computer technology and the like into a whole, and has very high technical content. The curved surface of the building can be changed arbitrarily along with the design requirements of architects, and the whole environment is combined to construct a symbolic image project. Under the irradiation of sunlight, the interior of the building covered by the film is filled with natural diffused light, and the lighting surface without contrast is distinguished from the shadow, so that the indoor space visual environment is wide and harmonious. At night, the light in the building illuminates the night sky through the film of the roof, and the body shape of the building shows a fantasy effect. However, the existing building film structure has single mechanical property testing means and poor testing effect; meanwhile, the speed of calculating and analyzing the test data is low, the test period is long, and the test efficiency is influenced.
The genetic algorithm has strong dependence on the quality and size of the initial population, requires a large proportion of feasible assembly sequences in the initial population, and may not obtain the optimal assembly sequences or even may not converge. The ant colony algorithm needs to specify basic parts when assembling sequence planning is carried out, the selection difficulty of parameters in an pheromone residual coefficient and a transfer probability formula is high, the convergence rate of the algorithm is not ideal, and the algorithm is easy to fall into a local optimal solution. The simulated annealing algorithm has poor expansion on solution space, and is not easy to search the most effective region, so that the search efficiency is low, the population diversity is poor, and the optimal assembly sequence is difficult to obtain. The particle swarm algorithm has the characteristics of simple rule, high convergence speed, few adjustable parameters and the like, but is poor in discrete optimization problem processing and easy to fall into local optimization.
In summary, the problems of the prior art are as follows:
the existing building film structure has single mechanical property testing means and poor testing effect; meanwhile, the speed of calculating and analyzing the test data is low, the test period is long, and the test efficiency is influenced.
In the hardness detection, the accuracy of data obtained by the existing detection method is poor, the convergence rate of the existing algorithm is not ideal, the existing algorithm is easy to fall into the local optimal solution, and the data operation efficiency is low and the accuracy is poor.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a method for testing the mechanical property of a polygonal building film structure.
The invention is realized in this way, a system for testing the mechanical property of a polygonal building film structure, the system for testing the mechanical property of the polygonal building film structure comprises:
the curvature detection module is connected with the central control module and is used for detecting the curvature data of the film structure;
the hardness detection module is connected with the central control module and is used for detecting the hardness data of the film structure;
the detection method of the hardness detection module comprises the following steps:
taking the hardness of the film structure as an index of the product hardness detection sequence planning evaluation, and constructing a fitness function suitable for the universal gravitation search algorithm;
redefining and modifying a calculation formula of the universal gravitation search algorithm to construct a new universal gravitation search calculation formula;
iteratively solving a hardness detection sequence of a product to be detected by adopting a new universal gravitation search calculation formula, wherein the obtained calculation result is optimal hardness detection data;
the fitness function is:
where Fit (t) is a fitness function, f (X)i) Represents the hardness of the film structure i; qi(k,k+1)Representing the hardness of the film structure detected by detecting the hardness process from the completion of the k-th film structure to the k + 1-th film structure, Qi(k,k+1)＝d·Di(k,k+1)+k·Ti(k,k+1)+l·Li(k,k+1)；Di(k,k+1)To detect the number of changes in direction, Ti(k,k+1)To detect the number of tool changes, Li(k,k+1)To detect the number of changes in type, k ∈ [1, N-1 ]](ii) a d is a weight coefficient in hardness detection at the time of reorientation of the detection direction, k is a weight coefficient in hardness detection of detection tool replacement, l is a weight coefficient in total hardness detection of change of the detection type, and d + k + l is satisfied as 1;
the weight detection module is connected with the central control module and is used for detecting the weight data of the film structure;
the central control module is connected with the curvature detection module, the hardness detection module, the weight detection module, the environment simulation module, the test data storage module, the cloud service module and the display module and is used for scheduling each module to normally work;
the environment simulation module is connected with the central control module and is used for simulating natural environment factors to test the film structure;
the test data storage module is connected with the central control module and used for storing the test data;
the cloud service module is connected with the central control module and used for carrying out calculation analysis on the test data by centralizing large data resources through the cloud server;
according to the energy consumption model of the cloud service module, energy consumption of sensor nodes is divided into energy consumption for transmitting data, energy consumption for receiving data and energy consumption for aggregating data, and the distance from the nodes to receiving points is smaller than a threshold value d0Then a free space model is used, otherwise a multipath fading model is used, thereby transmitting the bit data to a distance d0The energy consumption of the receiving points of (2) is as follows:
wherein EelecFor power consumption of the transmitting circuit,. epsilonfsEnergy, epsilon, required by the power amplifying circuit under the free space modelmpReceiving bit data energy consumption for energy required by a power amplification circuit under a multipath attenuation model:
ERx(l)＝l×Eelec；
energy consumption of aggregated bit data:
EA＝l×EDA；
wherein EDARepresents the energy consumption of aggregating 1-bit data;
and the display module is connected with the central control module and is used for displaying the test data information.
Further, the new universal gravitation search calculation formula is as follows:
wherein, the thin film structure i to be detected is represented by particles i, then
The resultant force of gravity of the particles i, Rand represents a random number with a value range of [0, 1 ]]，
Wherein xi d(t) is the position of particle i in d-dimensional space at time t, FijShowing that the particle i is subjected to the universal gravitation of the particle j, G (t) is a universal gravitation constant,
alpha is the attenuation coefficient, G0Is an initial gravitational constant, T is a time period, ε is a small value constant, MpiRepresenting mass of passive attraction, MajRepresenting the mass of active gravity, Rij(t) is the Euclidean distance between particle i and particle j at time t,
i, j ═ 1, 2.., n, where x isi，xjIs the position of the particle i, j in space;
the iterative solving process of the hardness detection sequence of the product to be detected by adopting a new universal gravitation search calculation formula comprises the following steps:
1) population size determination and initialization
The product to be detected is provided with N detection films which form an N-dimensional search space, and the population is recorded as X ═ X1，x2，x3，…xN) The ith particle position is labeled: xi＝(xi 1，xi 2，xi 3，…，xi d，…xi N)(i＝1,2,3,…N)；
2) Setting the maximum number of iterations and calculating the mass
Setting the initial iteration value T as 0 and the maximum iteration time T as 100, and calculating the Fit of the particle at the time T according to the fitness function formulai(t) value, defined to solve the problemAnd solving the values of the minimum problems Worst (t) and best (t) in the calculation process according to a new universal gravitation search calculation formula according to a minimum sequencing rule, wherein:
best (t) is the best fitness value of the population at time t, Worst (t) is the worst fitness value of the population at time t, Fitj(t) is the fitness value of the individual i at time t, Mi(t) is the particle inertial mass;
3) determining the constant of universal gravitation and calculating the resultant force of universal gravitation
Wherein, the maximum iteration number T is taken as 100, and the initial gravitational constant G0100, an attenuation coefficient alpha of 20,
taking the epsilon as 5, and taking the epsilon as the index,
4) calculating the acceleration a
5) Updating particle velocity and position
vi d(t+1)＝Rand×vi d(t)+ai d(t)
xi d(t+1)＝xi d(t)+vi d(t+1)
Wherein v isi d(t +1) is the speed of the particle i in the d-dimensional space at the moment of t +1, and Rand represents the value range of [0, 1%]Random number of vi d(t) is the velocity of particle i in d-dimensional space at time t, ai d(t) is the acceleration of the particle i in the d-dimensional space at time t;
xi d(t +1) is the position of particle i in the d-dimensional space at time t +1, xi d(t) is the position of the particle i in the d-dimensional space at time t, vi d(t +1) is the velocity of particle i in the d-dimensional space at time t + 1;
6) judging whether an iteration end condition is reached or not, and outputting optimal hardness detection data;
when the preset maximum iteration number is reached, the circulation is stopped, and the position value x of each particle at the moment is outputi dWhile simultaneously applying x to each particlei dAnd sequencing the output values from small to large, wherein the obtained sequencing sequence is the optimal hardness detection data.
Further, the environment simulation module comprises a wind, rain and snow simulation module, an illumination module and a vibration module;
the wind, rain and snow simulation module is used for simulating the impact test of wind, rain and snow in the nature on the thin film structure;
the illumination module is used for testing the light transmittance of the film by simulating sunlight;
and the vibration module is used for testing the vibration resistance of the film through vibration simulation.
The invention also aims to provide an information data processing terminal provided with the system for testing the mechanical property of the polygonal architectural thin film structure.
The invention also aims to provide a method for testing the mechanical property of the polygonal architectural membrane structure, which comprises the following steps:
detecting the curvature data of the thin film structure through a curvature detection module; detecting the hardness data of the film structure through a hardness detection module; detecting weight data of the film structure through a weight detection module;
secondly, the central control module dispatches an environment simulation module to simulate natural environment factors to test the film structure;
step three, storing the test data through a test data storage module; the cloud service module is used for centralizing big data resources to perform calculation analysis on the test data;
and step four, displaying the test data information through the display module.
Another object of the present invention is to provide a computer program for implementing said method for testing the mechanical properties of a polygonal architectural membrane structure.
Another object of the present invention is to provide an information data processing terminal for implementing the method for testing the mechanical properties of a polygonal architectural membrane structure.
It is another object of the present invention to provide a computer-readable storage medium comprising instructions which, when run on a computer, cause the computer to perform the method for testing the mechanical properties of a polygonal architectural membrane structure.
The invention has the advantages and positive effects that:
the invention can simulate real factors of natural environment to test through the environment simulation module, thereby greatly improving the reliability of test results and enriching test modes; meanwhile, the cloud service module can be used for analyzing the test performance data by using the cloud server to centralize big data computing resources, so that the data processing speed is greatly increased, the test period is shortened, and the test efficiency is improved.
The gravity search algorithm is proposed on the basis of the law of universal gravity and the phenomenon of mutual attraction among particles. In this algorithm, the search agents are clustered together due to their mutual attraction to each other according to Newton's law of attraction and Newton's second law of motion. Experimental results show that the gravity search algorithm has high superiority in solving various nonlinear functions. In the process of continuously updating the individual mass in the mobile search, the individual mass with excellent fitness value is larger, the attraction generated in the interaction motion process is larger, the mass of the individual mass is larger, the movement is slow, and the movement of the individual with small mass is relatively quick. Therefore, the whole population continuously moves towards individuals with excellent fitness values, and the purposes of realizing information interaction and excellent individual guide search among individuals and moving the whole population towards an excellent solution direction are achieved.
Thereby improving the accuracy of the data to 98.78%. The method can be closer to actual performance data of the finished product, and the operation efficiency is greatly improved.
Drawings
FIG. 1 is a flow chart of a method for testing mechanical properties of a polygonal architectural membrane structure provided by the practice of the present invention;
FIG. 2 is a schematic structural diagram of a system for testing mechanical properties of a polygonal architectural membrane structure provided by the practice of the present invention;
in the figure: 1. a curvature detection module; 2. a hardness detection module; 3. a weight detection module; 4. a central control module; 5. an environment simulation module; 6. a test data storage module; 7. a cloud service module; 8. and a display module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, the method for testing the mechanical property of the polygonal architectural membrane structure provided by the embodiment of the invention comprises the following steps:
s101, detecting the curvature data of the film structure through a curvature detection module; detecting the hardness data of the film structure through a hardness detection module; detecting weight data of the film structure through a weight detection module;
s102, a central control module dispatches an environment simulation module to simulate natural environment factors to test a film structure;
s103, storing the test data through a test data storage module; the cloud service module is used for centralizing big data resources to perform calculation analysis on the test data;
and S104, displaying the test data information through the display module.
As shown in fig. 2, the system for testing the mechanical properties of the polygonal architectural membrane structure provided by the invention comprises: the device comprises a curvature detection module 1, a hardness detection module 2, a weight detection module 3, a central control module 4, an environment simulation module 5, a test data storage module 6, a cloud service module 7 and a display module 8.
The curvature detection module 1 is connected with the central control module 4 and is used for detecting the curvature data of the film structure;
the hardness detection module 2 is connected with the central control module 4 and is used for detecting the hardness data of the film structure;
the weight detection module 3 is connected with the central control module 4 and is used for detecting the weight data of the film structure;
the central control module 4 is connected with the curvature detection module 1, the hardness detection module 2, the weight detection module 3, the environment simulation module 5, the test data storage module 6, the cloud service module 7 and the display module 8 and is used for scheduling each module to normally work;
the environment simulation module 5 is connected with the central control module 4 and is used for simulating natural environment factors to test the film structure;
the test data storage module 6 is connected with the central control module 4 and used for storing the test data;
the cloud service module 7 is connected with the central control module 4 and used for carrying out calculation analysis on the test data through the cloud server centralized big data resources;
the energy consumption model of the cloud service module 7 is characterized in that the energy consumption of the sensor nodes is divided into data transmitting energy consumption, data receiving energy consumption and data gathering energy consumptionThe distance from the node to the receiving point is less than a threshold value d0Then a free space model is used, otherwise a multipath fading model is used, thereby transmitting the bit data to a distance d0The energy consumption of the receiving points of (2) is as follows:
wherein EelecFor power consumption of the transmitting circuit,. epsilonfsEnergy, epsilon, required by the power amplifying circuit under the free space modelmpReceiving bit data energy consumption for energy required by a power amplification circuit under a multipath attenuation model:
ERx(l)＝l×Eelec；
energy consumption of aggregated bit data:
EA＝l×EDA；
wherein EDARepresents the energy consumption of aggregating 1-bit data;
and the display module 8 is connected with the central control module 4 and is used for displaying the test data information.
The environment simulation module 5 provided by the invention comprises a wind, rain and snow simulation module, a lighting module and a vibration module;
the wind, rain and snow simulation module is used for simulating the impact test of wind, rain and snow in the nature on the thin film structure;
the illumination module is used for testing the light transmittance of the film by simulating sunlight;
and the vibration module is used for testing the vibration resistance of the film through vibration simulation.
The invention is further described below with reference to specific assays.
The detection method of the hardness detection module comprises the following steps:
taking the hardness of the film structure as an index of the product hardness detection sequence planning evaluation, and constructing a fitness function suitable for the universal gravitation search algorithm;
redefining and modifying a calculation formula of the universal gravitation search algorithm to construct a new universal gravitation search calculation formula;
iteratively solving a hardness detection sequence of a product to be detected by adopting a new universal gravitation search calculation formula, wherein the obtained calculation result is optimal hardness detection data;
the fitness function is:
where Fit (t) is a fitness function, f (X)i) Represents the hardness of the film structure i; qi(k,k+1)Representing the hardness of the film structure detected by detecting the hardness process from the completion of the k-th film structure to the k + 1-th film structure, Qi(k,k+1)＝d·Di(k,k+1)+k·Ti(k,k+1)+l·Li(k,k+1)；Di(k,k+1)To detect the number of changes in direction, Ti(k,k+1)To detect the number of tool changes, Li(k,k+1)To detect the number of changes in type, k ∈ [1, N-1 ]](ii) a d is a weight coefficient in hardness detection at the time of reorientation of the detection direction, k is a weight coefficient in hardness detection of detection tool replacement, l is a weight coefficient in total hardness detection of change of the detection type, and d + k + l is satisfied as 1;
further, the new universal gravitation search calculation formula is as follows:
wherein, the thin film structure i to be detected is represented by particles i, then
The resultant force of gravity of the particles i, Rand represents a random number with a value range of [0, 1 ]]，
Wherein xi d(t) is that the particle i is in the d-dimensional space at time tPosition, FijShowing that the particle i is subjected to the universal gravitation of the particle j, G (t) is a universal gravitation constant,
alpha is the attenuation coefficient, G0Is an initial gravitational constant, T is a time period, ε is a small value constant, MpiRepresenting mass of passive attraction, MajRepresenting the mass of active gravity, Rij(t) is the Euclidean distance between particle i and particle j at time t,
i, j ═ 1, 2.., n, where x isi，xjIs the position of the particle i, j in space;
the iterative solving process of the hardness detection sequence of the product to be detected by adopting a new universal gravitation search calculation formula comprises the following steps:
1) population size determination and initialization
The product to be detected is provided with N detection films which form an N-dimensional search space, and the population is recorded as X ═ X1，x2，x3，…xN) The ith particle position is labeled: xi＝(xi 1，xi 2，xi 3，…，xi d，…xi N)(i＝1,2,3,…N)；
2) Setting the maximum number of iterations and calculating the mass
Setting the initial iteration value T as 0 and the maximum iteration time T as 100, and calculating the Fit of the particle at the time T according to the fitness function formulai(t) defining the minimum sorting rule for solving the problem, and solving the values of the minimum problems Worst (t) and best (t) in the calculation process according to a new universal gravitation search calculation formula, wherein:
best (t) is the best fitness value of the population at time t, Worst (t) is the worst fitness value of the population at time t, Fitj(t) is the fitness value of the individual i at time t, Mi(t) is the particle inertial mass;
3) determining the constant of universal gravitation and calculating the resultant force of universal gravitation
Wherein, the maximum iteration number T is taken as 100, and the initial gravitational constant G0100, an attenuation coefficient alpha of 20,
taking the epsilon as 5, and taking the epsilon as the index,
4) calculating the acceleration a
5) Updating particle velocity and position
vi d(t+1)＝Rand×vi d(t)+ai d(t)
xi d(t+1)＝xi d(t)+vi d(t+1)
Wherein v isi d(t +1) is a particlei speed in the d-dimensional space at the moment of t +1, and Rand represents the value range of 0, 1]Random number of vi d(t) is the velocity of particle i in d-dimensional space at time t, ai d(t) is the acceleration of the particle i in the d-dimensional space at time t;
xi d(t +1) is the position of particle i in the d-dimensional space at time t + 1, xi d(t) is the position of the particle i in the d-dimensional space at time t, vi d(t +1) is the velocity of particle i in the d-dimensional space at time t + 1;
6) judging whether an iteration end condition is reached or not, and outputting optimal hardness detection data;
when the preset maximum iteration number is reached, the circulation is stopped, and the position value x of each particle at the moment is outputi dWhile simultaneously applying x to each particlei dAnd sequencing the output values from small to large, wherein the obtained sequencing sequence is the optimal hardness detection data.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (6)
1. A system for testing mechanical properties of a polygonal architectural membrane structure, the system comprising:
the curvature detection module is connected with the central control module and is used for detecting the curvature data of the film structure;
the hardness detection module is connected with the central control module and is used for detecting the hardness data of the film structure;
the detection method of the hardness detection module comprises the following steps:
taking the hardness of the film structure as an index of the product hardness detection sequence planning evaluation, and constructing a fitness function suitable for the universal gravitation search algorithm;
redefining and modifying a calculation formula of the universal gravitation search algorithm to construct a new universal gravitation search calculation formula;
iteratively solving a hardness detection sequence of a product to be detected by adopting a new universal gravitation search calculation formula, wherein the obtained calculation result is optimal hardness detection data;
the fitness function is:
where Fit (t) is a fitness function, f (X)i) Represents the hardness of the film structure i; qi(k,k+1)Indicating that the detection is completed from the kth thin film structure to the kth thin film structureHardness of the film structure measured by +1 film structure hardness process, Qi(k,k+1)＝d·Di(k,k+1)+k·Ti(k,k+1)+l·Li(k,k+1)；Di(k,k+1)To detect the number of changes in direction, Ti(k,k+1)To detect the number of tool changes, Li(k,k+1)To detect the number of changes in type, k ∈ [1, N-1 ]](ii) a d is a weight coefficient in hardness detection at the time of reorientation of the detection direction, k is a weight coefficient in hardness detection of detection tool replacement, l is a weight coefficient in total hardness detection of change of the detection type, and d + k + l is satisfied as 1;
the weight detection module is connected with the central control module and is used for detecting the weight data of the film structure;
the central control module is connected with the curvature detection module, the hardness detection module, the weight detection module, the environment simulation module, the test data storage module, the cloud service module and the display module and is used for scheduling each module to normally work;
the environment simulation module is connected with the central control module and is used for simulating natural environment factors to test the film structure;
the test data storage module is connected with the central control module and used for storing the test data;
the cloud service module is connected with the central control module and used for carrying out calculation analysis on the test data by centralizing large data resources through the cloud server;
according to the energy consumption model of the cloud service module, energy consumption of sensor nodes is divided into energy consumption for transmitting data, energy consumption for receiving data and energy consumption for aggregating data, and the distance from the nodes to receiving points is smaller than a threshold value d0Then a free space model is used, otherwise a multipath fading model is used, thereby transmitting the bit data to a distance d0The energy consumption of the receiving points of (2) is as follows:
wherein EelecFor power consumption of the transmitting circuit,. epsilonfsEnergy, epsilon, required by the power amplifying circuit under the free space modelmpReceiving bit data energy consumption for energy required by a power amplification circuit under a multipath attenuation model:
ERx(l)＝l×Eelec；
energy consumption of aggregated bit data:
EA＝l×EDA；
wherein EDARepresents the energy consumption of aggregating 1-bit data;
the display module is connected with the central control module and used for displaying the test data information;
the new universal gravitation search calculation formula is as follows:
wherein, the thin film structure i to be detected is represented by particles i, then Fi d(t) is the resultant force of universal attraction of the particles i, and Rand represents a random number whose value range is [0, 1 ]]，
Wherein xi d(t) is the position of particle i in d-dimensional space at time t, FijShowing that the particle i is subjected to the universal gravitation of the particle j, G (t) is a universal gravitation constant,
alpha is the attenuation coefficient, G0Is an initial gravitational constant, T is a time period, ε is a small value constant, MpiRepresenting mass of passive attraction, MajRepresenting the mass of active gravity, Rij(t) is the Euclidean distance between particle i and particle j at time t,
wherein xi，xjIs the position of the particle i, j in space;
the iterative solving process of the hardness detection sequence of the product to be detected by adopting a new universal gravitation search calculation formula comprises the following steps:
1) population size determination and initialization
The product to be detected is provided with N detection films which form an N-dimensional search space, and the population is recorded as X ═ X1，x2，x3，…xN) The ith particle position is labeled: xi＝(xi 1，xi 2，xi 3，…，xi d，…xi N)(i＝1,2,3,…N)；
2) Setting the maximum number of iterations and calculating the mass
Setting the initial iteration value T as 0 and the maximum iteration time T as 100, and calculating the Fit of the particle at the time T according to the fitness function formulai(t) defining the minimum sorting rule for solving the problem, and solving the values of the minimum problems Worst (t) and best (t) in the calculation process according to a new universal gravitation search calculation formula, wherein:
best (t) is the best fitness value of the population at time t, Worst (t) is the worst fitness value of the population at time t, Fitj(t) is the fitness value of the individual i at time t, Mi(t) is the particle inertial mass;
3) determining the constant of universal gravitation and calculating the resultant force of universal gravitation
Wherein, the maximum iteration number T is taken as 100, and the initial gravitational constant G0100, an attenuation coefficient alpha of 20,
taking the epsilon as 5, and taking the epsilon as the index,
4) calculating the acceleration a
5) Updating particle velocity and position
vi d(t+1)＝Rand×vi d(t)+ai d(t)
xi d(t+1)＝xi d(t)+vi d(t+1)
Wherein v isi d(t +1) is the speed of the particle i in the d-dimensional space at the moment of t +1, and Rand represents the value range of [0, 1%]Random number of vi d(t) is the velocity of particle i in d-dimensional space at time t, ai d(t) is the acceleration of the particle i in the d-dimensional space at time t;
xi d(t +1) is the position of particle i in the d-dimensional space at time t +1, xi d(t) is the position of the particle i in the d-dimensional space at time t, vi d(t +1) is the velocity of particle i in the d-dimensional space at time t + 1;
6) judging whether an iteration end condition is reached or not, and outputting optimal hardness detection data;
when the preset maximum iteration number is reached, the circulation is stopped, and the position value x of each particle at the moment is outputi dWhile simultaneously applying x to each particlei dAnd sequencing the output values from small to large, wherein the obtained sequencing sequence is the optimal hardness detection data.
2. The system for testing the mechanical properties of a polygonal architectural membrane structure of claim 1, wherein the environmental simulation module comprises a wind, rain and snow simulation module, a lighting module, a vibration module;
the wind, rain and snow simulation module is used for simulating the impact test of wind, rain and snow in the nature on the thin film structure;
the illumination module is used for testing the light transmittance of the film by simulating sunlight;
and the vibration module is used for testing the vibration resistance of the film through vibration simulation.
3. An information data processing terminal equipped with the system for testing the mechanical properties of a polygonal architectural membrane structure according to any one of claims 1 to 2.
4. A method for testing the mechanical properties of a polygonal architectural membrane structure, according to the system for testing the mechanical properties of a polygonal architectural membrane structure of claim 1, wherein the method for testing the mechanical properties of a polygonal architectural membrane structure comprises the steps of:
detecting the curvature data of the thin film structure through a curvature detection module; detecting the hardness data of the film structure through a hardness detection module; detecting weight data of the film structure through a weight detection module;
secondly, the central control module dispatches an environment simulation module to simulate natural environment factors to test the film structure;
step three, storing the test data through a test data storage module; the cloud service module is used for centralizing big data resources to perform calculation analysis on the test data;
and step four, displaying the test data information through the display module.
5. An information data processing terminal for implementing the method for testing the mechanical property of the polygonal architectural membrane structure of claim 4.
6. A computer-readable storage medium comprising instructions that, when executed on a computer, cause the computer to perform the method of testing the mechanical properties of a polygonal architectural membrane structure of claim 4.
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