CN117076889A - Three-main truss steel truss girder construction monitoring method and system, storage medium and electronic equipment - Google Patents
Three-main truss steel truss girder construction monitoring method and system, storage medium and electronic equipment Download PDFInfo
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Abstract
The invention relates to the technical field of bridge construction, in particular to a three-main-truss steel truss girder construction monitoring method and system, a storage medium and electronic equipment, and the method comprises the following steps: acquiring real-time environment parameters and real-time linear parameters of three main truss steel truss girder construction; performing value marking and statistics on the real-time environment parameters to obtain first processing information; performing value marking and statistics on the real-time linear parameters to obtain second processing information; training the first processing information and the second processing information through a pre-constructed three-main truss steel truss girder construction model to obtain an environment training value and a construction training value; and carrying out simultaneous calculation on the environment training value and the construction training value to obtain a construction monitoring value, and analyzing the construction monitoring value to obtain a construction monitoring set. According to the invention, the external environmental factors and the linear factors of the construction of the three main truss steel truss beams are comprehensively analyzed, so that the monitoring accuracy is improved.
Description
Technical Field
The invention relates to the technical field of bridge construction, in particular to a three-main-truss steel truss girder construction monitoring method and system, a storage medium and electronic equipment.
Background
In recent decades, along with continuous development of bridge design, manufacturing and erection technologies and building materials, steel truss arch bridges are gradually and widely applied to bridge construction of cross sea, river, lake and the like due to the advantages of light dead weight, large spanning capacity, attractive appearance and the like.
In the bridge construction process, in order to ensure that the deformation and internal force of the steel truss arch bridge structure are always in a safe state and the construction precision is accurate, and the line shape of the bridge formation state and the internal force of the structure accord with the requirements of bridge design specifications, it is very necessary to monitor the change of the line shape of the steel truss arch bridge in construction at any time, and control the line shape of the steel truss girder in closure, especially for the three main truss double-layer steel truss arch bridge.
The patent application number is 202010565719.5, discloses an intelligent three-main-truss steel truss girder closure lifting girder control method, which comprises the following steps: a, positioning rod piece nodes on the side span side of a closure mouth of the three main truss steel truss girders and the side of a main pier by using a space Beidou satellite, and transmitting positioning information to an intelligent computer; b, the intelligent computer analyzes the received positioning information, calculates the force value required to be applied to each pier top according to the positioning information analysis result, and transmits the force value information as an operation instruction to the full-automatic hydraulic jacks arranged vertically on each pier top; c, adjusting the full-automatic hydraulic jacks arranged vertically on each pier top according to the operation instructions; d, repeating the steps until the position deviation between the rod pieces at the two sides of the closure opening reaches the error range.
The drawbacks of the above-mentioned patent applications include: the construction of the three main girder steel trusses is not monitored and analyzed simultaneously based on the environmental aspect, so that the monitoring accuracy is poor.
Disclosure of Invention
In order to solve the problems, the main object of the present invention is to provide a method and a system for monitoring construction of a three-main girder steel truss, a storage medium, and an electronic device, wherein the method is used for improving accuracy of monitoring by comprehensively analyzing real-time environmental parameters and real-time linear parameters of construction of the three-main girder steel truss from external environmental factors and linear factors, and standardizing and normalizing each item of data by performing value marking and statistics on each item of data, so that the construction of the three-main girder steel truss can be monitored and analyzed from both external environment and linear aspects by calculating and the accuracy of construction monitoring can be improved.
In order to achieve the above purpose, the invention adopts the following technical scheme:
a three-main truss steel truss girder construction monitoring method comprises the following steps:
acquiring real-time environment parameters and real-time linear parameters of three main truss steel truss girder construction;
performing value marking and statistics on the real-time environment parameters to obtain first processing information; performing value marking and statistics on the real-time linear parameters to obtain second processing information;
training the first processing information and the second processing information through a pre-constructed three-main truss steel truss girder construction model to obtain an environment training value and a construction training value;
and carrying out simultaneous calculation on the environment training value and the construction training value to obtain a construction monitoring value, and analyzing the construction monitoring value to obtain a construction monitoring set.
Further, the real-time environment parameters comprise temperature parameters, humidity parameters, air pressure parameters and wind power parameters, and the real-time linear parameters comprise steel truss girder deformation parameters, tension parameters, deflection parameters and displacement parameters.
Further, the three main girder steel truss girder construction model is constructed based on a feedforward neural network.
Further, the construction method of the three main girder steel truss girder construction model comprises the following steps:
determining a neural network structure, an activation function and a loss function;
initializing the weight and the bias value of the neural network structure;
training the initialized neural network structure by using the prepared data set, and updating parameters of the neural network structure to minimize a loss function;
evaluating the performance and generalization capability of the updated neural network structure;
and optimizing the neural network structure based on the evaluation result.
Further, the determining the neural network structure includes:
and determining the node numbers and the layer numbers of the input layer, the hidden layer and the output layer of the neural network.
Further, the initialization adopts a random initialization or pre-training mode.
Further, the method includes the steps of simultaneously calculating the environment training value and the construction training value, analyzing the construction monitoring value to obtain a construction monitoring set, and the method includes the following steps:
arranging the environment training values and the construction training values in a time sequence manner, and ensuring that each time point has the corresponding environment training value and construction training value;
the environment training value and the construction training value are combined according to the time sequence to form a data table or matrix;
combining the environment training value and the construction training value of each time point to form a feature vector;
all the feature vectors are formed into a feature matrix to be used as input data, wherein each row of the feature matrix corresponds to the feature vector of one time point;
analyzing the feature matrix through a sexual regression algorithm to obtain a construction monitoring value;
analyzing the obtained construction monitoring value by a statistical method and a visual method;
and obtaining a construction monitoring set according to the analysis result.
A computer-readable storage medium having stored thereon a computer program for execution by a processor of a three main girder steel girder construction monitoring method as described above.
An electronic device, comprising: a processor, a memory, and a program, wherein the program is stored in the memory and configured to be executed by the processor, the program comprising instructions for performing the three main girder steel truss girder construction monitoring method as described above.
A three-main girder steel girder construction monitoring system for performing the three-main girder steel girder construction monitoring method as described above;
the three main truss steel truss girder construction monitoring system comprises:
the data acquisition module is used for real-time environment parameters and real-time linear parameters of the construction of the three main truss steel truss girders;
the data acquisition module is used for acquiring real-time environment parameters and real-time linear parameters of the construction of the three main truss steel truss girders uploaded by the data acquisition module;
the data preprocessing module is used for carrying out value marking and statistics on the real-time environment parameters to obtain first processing information; performing value marking and statistics on the real-time linear parameters to obtain second processing information;
the data processing module is used for training the first processing information and the second processing information through a pre-constructed three-main truss steel truss girder construction model to obtain an environment training value and a construction training value; and carrying out simultaneous calculation on the environment training value and the construction training value to obtain a construction monitoring value, and analyzing the construction monitoring value to obtain a construction monitoring set.
The invention has the beneficial effects that:
according to the invention, the real-time environment parameters and the real-time linear parameters of the construction of the three main truss steel truss girder are obtained and comprehensively analyzed from the external environment factors and the linear factors, so that the monitoring accuracy is improved, and each item of data is standardized and normalized by carrying out value marking and statistics on each item of data, so that the construction of the three main truss steel truss girder is conveniently monitored and analyzed from the external environment and the linear aspects by carrying out simultaneous calculation on each item of data, and the construction monitoring accuracy can be improved.
Drawings
FIG. 1 is a flow chart of a method of monitoring construction of a three main girder steel truss girder of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and detailed description, wherein it is to be understood that, on the premise of no conflict, the following embodiments or technical features may be arbitrarily combined to form new embodiments.
Referring to fig. 1, the main purpose of the present invention is to provide a method and a system for monitoring construction of a three-main girder steel truss, a storage medium, and an electronic device, which are used for improving accuracy of monitoring by acquiring real-time environmental parameters and real-time linear parameters of construction of the three-main girder steel truss and comprehensively analyzing the real-time environmental factors and the linear factors, and for standardizing and normalizing each item of data by performing value marking and statistics on each item of data, so that the construction of the three-main girder steel truss can be monitored and analyzed from both sides of the external environment and the linear by calculating and combining each item of data, and the accuracy of construction monitoring can be improved. The intelligent three-main-truss steel truss girder closure lifting beam control method can be used for monitoring the construction process of the intelligent three-main-truss steel truss girder closure lifting beam control method in the background technology.
Example 1
A three-main truss steel truss girder construction monitoring method comprises the following steps:
acquiring real-time environment parameters and real-time linear parameters of three main truss steel truss girder construction;
performing value marking and statistics on the real-time environment parameters to obtain first processing information; performing value marking and statistics on the real-time linear parameters to obtain second processing information;
training the first processing information and the second processing information through a pre-constructed three-main truss steel truss girder construction model to obtain an environment training value and a construction training value;
and carrying out simultaneous calculation on the environment training value and the construction training value to obtain a construction monitoring value, and analyzing the construction monitoring value to obtain a construction monitoring set.
Further, the real-time environment parameters comprise temperature parameters, humidity parameters, air pressure parameters and wind power parameters, and the real-time linear parameters comprise steel truss girder deformation parameters, tension parameters, deflection parameters and displacement parameters.
In the scheme, the real-time environment parameters and the real-time linear parameters of the construction of the three main truss steel truss girder are obtained to carry out comprehensive analysis from external environment factors and linear factors, so that the accuracy of monitoring is improved, and each item of data is standardized and normalized by carrying out value marking and statistics on each item of data, so that the construction of the three main truss steel truss girder is conveniently monitored and analyzed from the external environment and the linear aspects by calculating and combining each item of data, and the accuracy of construction monitoring can be improved. Specifically, the external environmental factors comprise parameters such as temperature, humidity, air pressure, wind force and the like, and the linear factors comprise parameters such as deformation, tensile force, deflection, displacement and the like of the steel truss girder. These factors may have an effect on the construction of the three main girder steel truss girder, so that the state of the construction can be more comprehensively evaluated while considering these factors. Through value marking and statistics of various data, the standardization and normalization of the data can be realized. This helps to eliminate uncertainty and inconsistency of the data, ensuring comparability and interpretability of the data. At the same time, the standardized and normalized data is more convenient for subsequent calculation and analysis processes. Through simultaneous calculation of data of external environment and linear aspects, the relationship and interaction between the external environment and the linear aspects can be comprehensively considered, so that more accurate monitoring and analysis of the construction process are realized. Such simultaneous computation helps to find rules and patterns hidden behind the data and can provide more accurate construction monitoring results. In summary, the accuracy of the construction monitoring of the three main girder steel truss girder is improved by comprehensively analyzing external environment parameters, linear parameters, standardized and normalized data and simultaneous calculation. These measures help to discover potential problems early and take measures in time, thereby improving construction quality and safety.
Further, the three main truss steel truss girder construction model is constructed based on a feedforward neural network. Specifically, the construction method of the three main girder steel truss girder construction model comprises the following steps:
determining a neural network structure, an activation function and a loss function;
initializing the weight and the bias value of the neural network structure;
training the initialized neural network structure by using the prepared data set, and updating parameters of the neural network structure to minimize a loss function;
evaluating the performance and generalization capability of the updated neural network structure;
and optimizing the neural network structure based on the evaluation result.
Further, the determining the neural network structure includes:
and determining the node numbers and the layer numbers of the input layer, the hidden layer and the output layer of the neural network.
Further, the initialization adopts a random initialization or pre-training mode.
In some embodiments, the feedforward neural network is constructed as follows:
step 1, selecting a proper network architecture, including the node number, the layer number and the like of an input layer, a hidden layer and an output layer;
step 2, initializing weights and offsets in a network, wherein common initialization methods comprise random initialization or use of pre-trained weights;
step 3, inputting input data into the input layers of the network, and calculating the output of each layer through the weight and the activation function in the network;
and 4, selecting an appropriate loss function as an index for evaluating the performance of the model.
Step 5, calculating the gradient of the weight and the bias corresponding to each layer through a back propagation algorithm, and updating the gradient to minimize the loss function.
And 6, repeating the steps 3-5 until the designated times are reached or convergence conditions are met.
And 7, evaluating the trained model by using an independent test set, and calculating performance indexes of the model, such as accuracy, precision, recall rate and the like.
And 8, adjusting super parameters of the network, such as learning rate, regularization parameters and the like, according to the performance of the model so as to improve the performance of the model.
And 9, storing the trained model for subsequent use or deployment.
In some embodiments, the three main girder steel truss girder construction model based on the feedforward neural network may be expressed as the following formula:
first, assume that the model has L hidden layers, each hidden layer having N nodes, and the output layer having M nodes. For the j-th node of the l-th hidden layer, its input can be expressed as:
z_j^l＝\sum_{i＝1}^N w_{i j}^l a_i^{l-1}+b_j^l；
where w_ { i j } l is the weight connecting between the (l-1) th layer i node and the (l-1) th hidden layer j node, a_i { l-1} is the output of the (l-1) th layer i node, and b_j l is the offset of the (l-1) th node.
Then, the input is subjected to nonlinear transformation, and the ReLU is used as an activation function, so that the output of the j node of the first hidden layer can be obtained:
a_j^l＝max(0,z_j^l)；
where max (0, z_j≡l) represents the ReLU activation function.
Finally, calculating to obtain an output value through the neuron of the output layer:
z_k^L＝\sum_{j＝1}^N w_{jk}^L a_j^{L-1}+b_k^L；
where w_jk, is the weight connecting between the (L-1) th layer node and the output layer kth node, a_j { L-1} is the output of the (L-1) th layer jth node, and b_k, is the offset of the output layer kth node.
Then, an activation function of the output layer is performed, and in the case of being applicable to the regression problem, a common linear activation function represents the value of the output layer:
a_k^L＝z_k^L；
where a_kL represents the output of the kth node of the output layer.
Through the above formula, a three-main truss steel truss girder construction model based on a feedforward neural network can be constructed according to specific environmental parameters and linear parameters, and is used for training and predicting environmental training values and construction training values.
Further, the method includes the steps of simultaneously calculating the construction monitoring value by the environment training value and the construction training value, analyzing the construction monitoring value to obtain a construction monitoring set, and the method includes the following steps:
arranging the environment training values and the construction training values in a time sequence manner, and ensuring that each time point has the corresponding environment training value and construction training value;
the environment training value and the construction training value are combined according to the time sequence to form a data table or matrix;
combining the environment training value and the construction training value of each time point to form a feature vector;
all the feature vectors are formed into a feature matrix to be used as input data, wherein each row of the feature matrix corresponds to the feature vector of one time point;
analyzing the feature matrix through a sexual regression algorithm to obtain a construction monitoring value;
analyzing the obtained construction monitoring value by a statistical method and a visual method;
and obtaining a construction monitoring set according to the analysis result.
Example 2
A computer-readable storage medium having stored thereon a computer program that is executed by a processor in the three main girder steel truss girder construction monitoring method according to embodiment 1.
Example 3
An electronic device, comprising: a processor, a memory, and a program, wherein the program is stored in the memory and configured to be executed by the processor, the program comprising instructions for performing the three main girder steel truss girder construction monitoring method as described in embodiment 1.
Example 4
A three-main girder steel girder construction monitoring system for performing the three-main girder steel girder construction monitoring method described in embodiment 1;
the three main truss steel truss girder construction monitoring system comprises:
the data acquisition module is used for real-time environment parameters and real-time linear parameters of the construction of the three main truss steel truss girders;
the data acquisition module is used for acquiring real-time environment parameters and real-time linear parameters of the construction of the three main truss steel truss girders uploaded by the data acquisition module;
the data preprocessing module is used for carrying out value marking and statistics on the real-time environment parameters to obtain first processing information; performing value marking and statistics on the real-time linear parameters to obtain second processing information;
the data processing module is used for training the first processing information and the second processing information through a pre-constructed three-main truss steel truss girder construction model to obtain an environment training value and a construction training value; and carrying out simultaneous calculation on the environment training value and the construction training value to obtain a construction monitoring value, and analyzing the construction monitoring value to obtain a construction monitoring set.
The invention has the beneficial effects that:
according to the invention, the real-time environment parameters and the real-time linear parameters of the construction of the three main truss steel truss girder are obtained and comprehensively analyzed from the external environment factors and the linear factors, so that the monitoring accuracy is improved, and each item of data is standardized and normalized by carrying out value marking and statistics on each item of data, so that the construction of the three main truss steel truss girder is conveniently monitored and analyzed from the external environment and the linear aspects by carrying out simultaneous calculation on each item of data, and the construction monitoring accuracy can be improved.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way; those skilled in the art can smoothly practice the invention as shown in the drawings and described above; however, those skilled in the art will appreciate that many modifications, adaptations, and variations of the present invention are possible in light of the above teachings without departing from the scope of the invention; meanwhile, any equivalent changes, modifications and evolution of the above embodiments according to the essential technology of the present invention still fall within the scope of the present invention.
Claims (10)
1. The construction monitoring method for the three-main truss steel truss girder is characterized by comprising the following steps of:
acquiring real-time environment parameters and real-time linear parameters of three main truss steel truss girder construction;
performing value marking and statistics on the real-time environment parameters to obtain first processing information; performing value marking and statistics on the real-time linear parameters to obtain second processing information;
training the first processing information and the second processing information through a pre-constructed three-main truss steel truss girder construction model to obtain an environment training value and a construction training value;
and carrying out simultaneous calculation on the environment training value and the construction training value to obtain a construction monitoring value, and analyzing the construction monitoring value to obtain a construction monitoring set.
2. The method for monitoring the construction of the three main truss steel truss girder according to claim 1, wherein the method comprises the following steps: the real-time environment parameters comprise temperature parameters, humidity parameters, air pressure parameters and wind power parameters, and the real-time linear parameters comprise steel truss girder deformation parameters, tension parameters, deflection parameters and displacement parameters.
3. The method for monitoring the construction of the three main truss steel truss girder according to claim 2, wherein the method comprises the following steps: the three-main truss steel truss girder construction model is constructed based on a feedforward neural network.
4. A method of monitoring construction of a triple-main girder steel truss girder according to claim 3, wherein: the construction method of the three-main truss steel truss girder construction model comprises the following steps:
determining a neural network structure, an activation function and a loss function;
initializing the weight and the bias value of the neural network structure;
training the initialized neural network structure by using the prepared data set, and updating parameters of the neural network structure to minimize a loss function;
evaluating the performance and generalization capability of the updated neural network structure;
and optimizing the neural network structure based on the evaluation result.
5. The method for monitoring the construction of the three main truss steel truss girder according to claim 4, wherein the method comprises the following steps: the determining a neural network structure includes:
and determining the node numbers and the layer numbers of the input layer, the hidden layer and the output layer of the neural network.
6. The method for monitoring the construction of the three main truss steel truss girder according to claim 4, wherein the method comprises the following steps: the initialization adopts a random initialization or pre-training mode.
7. A method of monitoring construction of a triple-main girder steel truss girder according to claim 3, wherein: the method comprises the following steps of carrying out simultaneous calculation on an environment training value and a construction training value, analyzing the construction monitoring value to obtain a construction monitoring set, and comprising the following steps:
arranging the environment training values and the construction training values in a time sequence manner, and ensuring that each time point has the corresponding environment training value and construction training value;
the environment training value and the construction training value are combined according to the time sequence to form a data table or matrix;
combining the environment training value and the construction training value of each time point to form a feature vector;
all the feature vectors are formed into a feature matrix to be used as input data, wherein each row of the feature matrix corresponds to the feature vector of one time point;
analyzing the feature matrix through a sexual regression algorithm to obtain a construction monitoring value;
analyzing the obtained construction monitoring value by a statistical method and a visual method;
and obtaining a construction monitoring set according to the analysis result.
8. A computer-readable storage medium having stored thereon a computer program, characterized by: the computer program is executed by a processor to perform the three main girder steel truss girder construction monitoring method of any one of claims 1 to 7.
9. An electronic device, comprising: a processor, a memory, and a program, wherein the program is stored in the memory and configured to be executed by the processor, the program comprising instructions for performing the three main girder steel truss girder construction monitoring method of any one of claims 1-7.
10. The utility model provides a three main joist steel truss girder construction monitored control system which characterized in that: the three-main girder steel girder construction monitoring system is used for executing the three-main girder steel girder construction monitoring method according to any one of claims 1 to 7;
the three main truss steel truss girder construction monitoring system comprises:
the data acquisition module is used for real-time environment parameters and real-time linear parameters of the construction of the three main truss steel truss girders;
the data acquisition module is used for acquiring real-time environment parameters and real-time linear parameters of the construction of the three main truss steel truss girders uploaded by the data acquisition module;
the data preprocessing module is used for carrying out value marking and statistics on the real-time environment parameters to obtain first processing information; performing value marking and statistics on the real-time linear parameters to obtain second processing information;
the data processing module is used for training the first processing information and the second processing information through a pre-constructed three-main truss steel truss girder construction model to obtain an environment training value and a construction training value; and carrying out simultaneous calculation on the environment training value and the construction training value to obtain a construction monitoring value, and analyzing the construction monitoring value to obtain a construction monitoring set.
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