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CN119136228A - A temporary wireless bridge adjustment method and system for infrastructure construction site - Google Patents

A temporary wireless bridge adjustment method and system for infrastructure construction site Download PDF

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Publication number
CN119136228A
CN119136228A CN202411556619.0A CN202411556619A CN119136228A CN 119136228 A CN119136228 A CN 119136228A CN 202411556619 A CN202411556619 A CN 202411556619A CN 119136228 A CN119136228 A CN 119136228A
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China
Prior art keywords
wireless bridge
information
adjustment
data
bridge
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CN202411556619.0A
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CN119136228B (en
Inventor
陈旭
唐娜
黄文槐
何维
吴荆
王伟
张成怡
钟叙
万鹏
肖志强
刘文彬
陈陶
邹贵波
谭海
林小燕
唐杨
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Sichuan Keruide Power Communication Technology Co ltd
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Sichuan Keruide Power Communication Technology Co ltd
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Priority to CN202411556619.0A priority Critical patent/CN119136228B/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/46—Interconnection of networks
    • H04L12/4604—LAN interconnection over a backbone network, e.g. Internet, Frame Relay
    • H04L12/462—LAN interconnection over a bridge based backbone

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention relates to the technical field of network equipment, and discloses a temporary wireless bridge adjustment method and a temporary wireless bridge adjustment system for a construction site, wherein the method comprises the following steps of collecting bridge adjustment information, wherein the bridge adjustment information comprises state information of wireless bridge equipment, construction staff information, construction site information and construction equipment information, the state information of the wireless bridge equipment comprises the state of the wireless bridge equipment and the coverage area of the wireless bridge equipment, and the coverage area of the wireless bridge equipment comprises the angle and the height of the wireless bridge equipment; the invention enables the wireless network bridge equipment to automatically align with the antenna through an intelligent adjustment model, adjusts the gain according to the real-time environment, avoids errors caused by manual adjustment, identifies and adapts to the terrain change and construction interference in the complex construction site based on data-driven analysis, is combined into a resource allocation decision, and is used for improving the efficient construction and adjustment of the wireless network bridge and ensuring the maximization of the signal intensity and quality of communication.

Description

Temporary wireless bridge adjustment method and system for construction site
Technical Field
The invention relates to the field of network equipment construction, in particular to a method and a system for adjusting a temporary wireless bridge for a construction site.
Background
A wireless bridge is a network device that is used to establish a wireless connection between two or more networks, which is typically used to provide a network link across a physical barrier such as a building, hill, or water area, or when cabling is impractical, and which can extend the signal of one Local Area Network (LAN) to another so that the two networks can operate as if they were the same network.
Under the complex construction site environment, due to the fact that the terrain obstacles are many and construction interference is caused, the traditional network wiring is difficult, a temporary wireless bridge needs to be built, so that on-site workers and equipment can acquire key information timely, when the wireless bridge is installed, the traditional building cannot be used for correctly aligning antennas and adjusting gains, and optimal signal strength and quality cannot be guaranteed.
Disclosure of Invention
The invention provides a temporary wireless bridge adjusting method and system for a construction site, which solve the technical problems that the traditional construction in the related technology cannot be used for correctly aligning antennas and adjusting gains, and cannot be used for guaranteeing the optimal signal strength and quality.
S100, collecting network bridge adjustment information, wherein the network bridge adjustment information comprises state information of wireless network bridge equipment, construction staff information, construction site information and construction equipment information, the state information of the wireless network bridge equipment comprises the state of the wireless network bridge equipment and the coverage area of the wireless network bridge equipment, and the coverage area of the wireless network bridge equipment comprises the angle and the height of the wireless network bridge equipment; S200, generating first two-dimensional structure data based on bridge adjustment information, wherein the first two-dimensional structure data comprises a first data matrix and a first relation matrix, one unit of the first data matrix represents first one-dimensional structure data of a wireless bridge device, an element of an ith row and a jth column of the first relation matrix represents association between the ith unit of the first data matrix and the wireless bridge device represented by the jth unit, if the association exists, the element value of the first relation matrix is 1, otherwise, the association exists between the wireless bridge devices, namely that the communication attribute of the wireless bridge devices is the same, the wireless bridge devices are located on the same foundation site, the first one-dimensional structure data comprises n data items which are ordered according to time, the tth data item represents bridge adjustment information acquired at the tth moment, S300, the structure data is input into an adjustment model, the adjustment model comprises a first feature fusion layer, a first hidden layer, a second hidden layer and an output layer, the first one-dimensional structure data is input into the first hidden layer, a first state of each node is output, the first state of each node is to the first hidden layer of the wireless bridge device, the first feature fusion information of each piece of the wireless bridge device is obtained from the first hidden layer of the first bridge device at the moment, the first wireless bridge device is obtained, the first feature fusion state of the first wireless bridge device is obtained from the adjacent device at the first hidden layer at the moment, the method comprises the steps of inputting the information into a second hidden layer, wherein the initialization information comprises wireless bridge equipment information of wireless bridge equipment and an initial local strategy thereof, outputting a second hidden state to an output layer by the second hidden layer, outputting the local strategy by the output layer, operating an adjustment model twice, wherein the initial local strategy is represented by a vector with a component of 0 in the first operation, outputting the initial local strategy by the output layer, and outputting the executed local strategy in the second operation, analyzing the executed local strategy output by the adjustment model, and adjusting configuration information of the wireless bridge equipment, wherein the configuration information comprises a data exchange angle of the wireless bridge equipment and a data exchange height of the wireless bridge equipment.
Further, configuring a distributed model for each wireless bridge device, inputting the structural data into the distributed model, generating an initial local policy by a multi-layer process, and receiving the initial local policy of the model output of the neighboring wireless bridge device via the short-range radio communication link is also included in S300.
Further, the calculation formula of the first hidden layer is as follows:;;; Wherein, the method comprises the steps of, 、、The weight parameter is represented by a number of weight parameters,、、The bias parameter is indicated as such,Representing dot product, whereinA t-th sequence unit representing sequence data,AndRespectively representing the t th hidden state and the t-1 th hidden state, wherein the n th hidden state is used as the node characteristic of the node, n is more than or equal to t and more than or equal to 1, n represents the total number of sequence units of the sequence data, and when t=1Tan h is the hyperbolic tangent function,Representing an S-type function, and the sequence unit is characterized by feature engineering encoding before being input into the second hidden layer.
Further, the calculation formula of the first feature fusion layer is as follows, namely the equipment information of the u-th adjacent equipment at the current moment and the initial local strategy of the u-th adjacent equipment;; Wherein, the method comprises the steps of, Representing the v-th first fusion state,The function of the splice is represented as,Representing the sum weight parameter(s),Representing the sum-bias parameter,Representing a collection of nodes that have edges with the v-th node,Device information indicating a u-th neighboring device,Representing the initial local policy of the u-th neighboring device,And merging information representing the device information of the u-th adjacent device and the initial local policy of the u-th adjacent device.
Further, the calculation formula of the second hidden layer is as follows: Wherein, the method comprises the steps of, Representing the hidden state of the i-th node,Representing the aggregate coefficients of the i-th node,Representing a collection of nodes that have edges with the i-th node,The activation function is represented as a function of the activation,Representing state weight coefficients;;;;; Wherein, the method comprises the steps of, AndRespectively representing the ith and jth first hidden states of the nth node,AndRespectively representing the ith and jth first fusion states,AndRepresenting node characteristics of the ith and jth nodes respectively,AndRepresenting the linear transformation characteristics of the i-th and j-th nodes respectively,Representing the aggregate weight coefficient of the model,Representing the splice weight coefficient, T representing the transpose,An exponential function based on natural constants is represented, leakyRelu represents a modified linear unit function,Representing a collection of nodes that have edges with the ith node.
Further, the calculation formula of the output layer is as follows: Wherein, the method comprises the steps of, One component representing the control vector represents the probability value of one local strategy, the set of all local strategies being called local strategy space, containing all possible selected local strategies,Representing the hidden state of the v-th node,Represents stitching of hidden states of all nodes, N represents a set of nodes related to the recognition result,Is a weight parameter that is used to determine the weight of the object,Is a parameter of the bias and,Representing an S-shaped function.
Further, the training of the adjustment model comprises the steps of initializing parameters of the adjustment model in step 301, and observing bridge adjustment information at time t in step 302Local policy executed at time tBridge adjustment information at time e+1Enforcing local policiesAwards obtainedStep 303, then calculate the policy error: Wherein Indicating a policy error at time e,Representing the discount coefficient(s),,Representing adjustment model inputsThe largest probability value in the first output vector of the time output,Representing adjustment model inputsThe first output vector of the time output corresponds to the local strategyProbability values of (2); Wherein Representing the user satisfaction value covered by the ith wireless bridge device,Indicating the coverage area of the capital construction site,,Representing the actual communication strength and the expected communication strength covered by the i-th wireless bridge device respectively,,The coverage and communication strength difference weight coefficients are respectively represented, the sum of the coverage and the communication strength difference weight coefficient is 1, and the default values are 0.4 and 0.6.
Step 304, updating the adjustment model, wherein the updated formula is as follows: Wherein ,The step size of the deep learning is represented,Representing passing updates, step 305 iterates steps 302-304 until the adjustment model converges or the number of iterations reaches a set value, which default value is 30.
Further, the local strategy in the local strategy space is obtained by random combination of possible values of all control parameters, and for the data transmission resources with continuity values, the local strategy is obtained by discretizing the average value into point values and combining the point values with optional values of other data transmission resources.
The invention also provides a temporary wireless bridge adjusting system for the construction site, which is used for executing the steps of the temporary wireless bridge adjusting method for the construction site, and comprises a data acquisition module, a data generation module, a data preprocessing module, an adjustment model module and a strategy execution module, wherein the data acquisition module is used for periodically acquiring the state information, the construction staff information and the construction equipment information of the wireless bridge equipment, the data generation module is used for generating structured data from the acquired information, the data preprocessing module is used for preprocessing the structured data to ensure the unification of input formats, the adjustment model module comprises a first feature fusion layer, a first hidden layer, a second hidden layer and an output layer, the suggestion of a local strategy is output to adjust the setting of the network bridge, and the strategy execution module is used for executing the local strategy output by the adjustment model and adjusting the parameters of the angle and the height of the wireless bridge equipment according to the output local strategy.
The invention also provides a storage medium storing non-transitory computer readable instructions for performing the steps of a method of temporary wireless bridge adjustment for a construction site as described above.
The wireless network bridge device has the beneficial effects that through an intelligent adjustment model, the wireless network bridge device can automatically align with an antenna, gain is adjusted according to a real-time environment, errors caused by manual adjustment are avoided, the system can quickly identify and adapt to terrain changes and construction interference in a complex infrastructure site based on data-driven analysis, and meanwhile, the system is combined into a resource allocation decision to improve efficient construction and adjustment of the wireless network bridge and ensure maximization of signal strength and quality of communication.
Drawings
Fig. 1 is a flowchart of a method for adjusting a temporary wireless bridge for a construction site according to the present invention.
Fig. 2 is a block diagram of a temporary wireless bridge adjustment system for a construction site according to the present invention.
In the figure, a data acquisition module, a data generation module, a data preprocessing module, a model adjustment module, a strategy execution module and a strategy execution module are respectively arranged at 101 and 102.
Detailed Description
The subject matter described herein will now be discussed with reference to example embodiments, it being understood that these embodiments are merely to enable those skilled in the art to make and use the subject matter described herein better, that changes may be made in the function and arrangement of the elements discussed without departing from the scope of the disclosure, that various processes or components may be omitted, substituted or added as required by the various examples, and that features described with respect to some examples may be combined in other examples.
Referring to FIG. 1, a temporary wireless bridge adjustment method for a construction site includes the steps of S100, collecting bridge adjustment information, wherein the bridge adjustment information includes status information of wireless bridge equipment, construction staff information, construction site information and construction equipment information, the status information of the wireless bridge equipment includes wireless bridge equipment status (available equipment and damaged equipment) and coverage area of the wireless bridge equipment, the coverage area of the wireless bridge equipment includes angle and height of the wireless bridge equipment, collecting the bridge adjustment information once at intervals of the same time period, and collecting current status of the equipment including angle and height in real time by using sensors installed on the wireless bridge equipment, such as angle sensors and height sensors.
Meanwhile, the wireless bridge equipment self-belt state detection function can periodically check the working state of the wireless bridge equipment self-belt state detection function, identify whether the equipment is available or damaged and automatically record state information.
The information of construction staff of the wireless bridge equipment is acquired by manually inputting or confirming the information of related staff and construction equipment through mobile equipment or interfaces by construction staff.
Meanwhile, a data acquisition terminal deployed on site receives sensor data and staff input, and uniformly records equipment state information.
Meanwhile, the construction equipment information can be transmitted to the unified background system in real time by utilizing Wi-Fi or other wireless communication technologies, so that the real-time performance and accuracy of the information are ensured.
The method comprises the steps of S200, generating structural data of acquired bridge adjustment information, generating number two-dimensional structural data based on the bridge adjustment information, wherein the number two-dimensional structural data comprises a number data matrix and a number relation matrix, one unit of the number data matrix represents a number one-dimensional structural data of a wireless bridge device, an element of an ith row and a jth column of the number relation matrix represents association between the ith unit of the number data matrix and the wireless bridge device represented by the jth unit, if the association exists, the element value of the number relation matrix is 1, otherwise, the association exists between the wireless bridge devices, namely that the communication attributes of the wireless bridge devices are identical, the wireless bridge devices are located on the same construction site, the fact that each wireless bridge device is provided with corresponding construction staff and construction devices needs to be supplemented is required, the state information of the construction staff information and the construction device is spliced to the wireless bridge device, the number one-dimensional structural data comprises n data items which are ordered according to time, and the t data item represents bridge adjustment information of a t time.
S300, inputting structural data into an adjustment model, wherein the adjustment model comprises a first feature fusion layer, a first hidden layer, a second hidden layer and an output layer, inputting first one-dimensional structural data into the first hidden layer, outputting a first hidden state of each node to the second hidden layer, inputting initialization information of adjacent wireless bridge devices of each wireless bridge device at the current moment into the first feature fusion layer to splice to obtain the first fusion state, inputting the first fusion state into the second hidden layer, wherein the initialization information comprises wireless bridge device information of the wireless bridge device and an initial local strategy of the wireless bridge device, outputting the second hidden state to the output layer, outputting the local strategy by the output layer, operating the adjustment model twice, enabling the initial local strategy to be represented by a vector with a component of 0 in the first operation, outputting the initial local strategy by the output layer in the second operation, and outputting the executed local strategy in the second operation.
In one embodiment of the invention, a distributed model is configured for each wireless bridge device, and the structural data is input into the distributed model.
In one embodiment of the invention, an initial local policy of a model output of a neighboring wireless bridge device is received over a short-range radio communication link.
Analyzing the local executing strategy output by the adjusting model, adjusting the configuration information of the wireless bridge equipment, wherein the configuration information comprises the data exchange angle of the wireless bridge equipment and the data exchange height of the wireless bridge equipment, and the local executing strategy comprises but is not limited to the position, the height and the angle of the wireless bridge equipment, so that the optimization and the coverage maximization of the communication coverage range are realized.
In one embodiment of the invention, the adjacent wireless bridge devices can directly exchange signals and data by using a short-distance radio communication technology (such as Wi-Fi, zigbee, bluetooth and the like), the short-distance radio communication link is suitable for the situation that the distance between the devices is relatively short, and the factors such as frequency bands, power and interference need to be considered, and it is required to supplement the explanation that the wireless bridge devices are provided with parameters for adjusting the height, angle and coverage of the wireless bridge devices, the wireless bridge devices adjust the height and angle of the wireless bridge devices, the coverage of the wireless bridge devices is realized by a mechanical structure, for example, the height is realized by a lifting mechanism, the angle is realized by a rotating mechanism, the coverage is also realized by the assistance of a deflection mechanism, and the parameters such as the elevation angle of communication transmission of the wireless bridge devices are adjusted.
In one embodiment of the present invention, the calculation formula of the first hidden layer is as follows:;;; Wherein, the method comprises the steps of, 、、The weight parameter is represented by a number of weight parameters,、、The bias parameter is indicated as such,Representing dot product, whereinA t-th sequence unit representing sequence data,AndRespectively representing the t th hidden state and the t-1 th hidden state, wherein the n th hidden state is used as the node characteristic of the node, n is more than or equal to t and more than or equal to 1, n represents the total number of sequence units of the sequence data, and when t=1Tan h is the hyperbolic tangent function,Representing an S-shaped function.
In one embodiment of the invention, the sequence elements are characterized by feature engineering encoding prior to entering the second hidden layer.
In one embodiment of the invention, the calculation formula of the first feature fusion layer is as follows, namely the device information of the u-th adjacent device at the current moment, and the initial local strategy of the u-th adjacent device;; Wherein, the method comprises the steps of, Representing the v-th first fusion state,The function of the splice is represented as,Representing the sum weight parameter(s),Representing the sum-bias parameter,Representing a collection of nodes that have edges with the v-th node,Device information indicating a u-th neighboring device,Representing the initial local policy of the u-th neighboring device,And merging information representing the device information of the u-th adjacent device and the initial local policy of the u-th adjacent device.
In one embodiment of the present invention, the calculation formula of the second hidden layer is as follows: Wherein, the method comprises the steps of, Representing the hidden state of the i-th node,Representing the aggregate coefficients of the i-th node,Representing a collection of nodes that have edges with the i-th node,The activation function is represented as a function of the activation,Representing state weight coefficients;;;;; Wherein, the method comprises the steps of, AndRespectively representing the ith and jth first hidden states of the nth node,AndRespectively representing the ith and jth first fusion states,AndRepresenting node characteristics of the ith and jth nodes respectively,AndRepresenting the linear transformation characteristics of the i-th and j-th nodes respectively,Representing the aggregate weight coefficient of the model,Representing the splice weight coefficient, T representing the transpose,An exponential function based on natural constants is represented, leakyRelu represents a modified linear unit function,Representing a collection of nodes that have edges with the ith node.
In one embodiment of the present invention, the calculation formula of the output layer is as follows: Wherein, the method comprises the steps of, One component representing the control vector represents the probability value of one local strategy, the set of all local strategies being called local strategy space, containing all possible selected local strategies,Representing the hidden state of the v-th node,Represents stitching of hidden states of all nodes, N represents a set of nodes related to the recognition result,Is a weight parameter that is used to determine the weight of the object,Is a parameter of the bias and,Representing an S-shaped function.
In one embodiment of the present invention, the local policy is represented as a matrix, and the value of the element in the ith row and the jth column of the matrix represents the data transmission resource allocated to the jth user by the ith wireless bridge device, and if the value is 0, the value represents that the ith wireless bridge device is not connected with the jth user.
Wherein the user is the target object served by the wireless bridge device.
The reasonable allocation of data transmission resources directly determines the data transmission time and throughput between the wireless network bridge equipment and the user, and the data transmission resource allocation is directly related to key performance indexes such as stability and signal strength, and is a main reference for evaluating the utilization efficiency of network bridge data and information transmission.
In one embodiment of the invention, the training of the adjustment model comprises the steps of initializing parameters of the adjustment model in step 301, observing bridge adjustment information at time t in step 302Local policy executed at time tBridge adjustment information at time e+1Enforcing local policiesAwards obtainedStep 303, then calculate the policy error: Wherein Indicating a policy error at time e,Representing the discount coefficient(s),,Representing adjustment model inputsThe largest probability value in the first output vector of the time output,Representing adjustment model inputsThe first output vector of the time output corresponds to the local strategyProbability values of (2); Wherein Representing the user satisfaction value covered by the ith wireless bridge device,Indicating the coverage area of the capital construction site,,Representing the actual communication strength and the expected communication strength covered by the i-th wireless bridge device respectively,,The coverage and communication strength difference weight coefficients are respectively represented, the sum of the coverage and the communication strength difference weight coefficient is 1, and the default values are 0.4 and 0.6.
Step 304, updating the adjustment model, wherein the updated formula is as follows:;, The step size of the deep learning is represented, Representing passing updates, step 305 iterates steps 302-304 until the adjustment model converges or the number of iterations reaches a set value, which default value is 30.
In one embodiment of the invention, the local policies in the local policy space are obtained from a random combination of possible values of all control parameters.
For the data transmission resources of the continuity value, the local strategy is obtained by discretizing the average value into a point value and combining the point value with the optional values of other data transmission resources.
As shown in fig. 2, at least one embodiment of the present disclosure provides a temporary wireless bridge adjustment system for a construction site, which includes a data acquisition module 101 for periodically acquiring status information, construction staff information and construction equipment information of a wireless bridge device, a data generation module 102 for generating structured data from the acquired information, a data preprocessing module 103 for preprocessing the structured data to ensure unified input format, an adjustment model module 104 for outputting a suggestion of a local policy including a first feature fusion layer, a first hidden layer, a second hidden layer and an output layer to adjust the setting of the bridge, and a policy execution module 105 for executing the local policy output by the adjustment model and adjusting parameters such as an angle, a height and the like of the wireless bridge device according to the output local policy.
At least one embodiment of the present disclosure provides a storage medium storing non-transitory computer readable instructions for performing the steps of a method of temporary wireless bridge adjustment for a construction site as described above.
A computer program may be stored/distributed on a suitable medium, such as an optical storage medium or a solid-state medium supplied together with or as part of other hardware, but may also be distributed in other forms, such as via the Internet or other wired or wireless telecommunication systems. Any reference signs in the claims shall not be construed as limiting the scope.
The embodiment has been described above with reference to the embodiment, but the embodiment is not limited to the above-described specific implementation, which is only illustrative and not restrictive, and many forms can be made by those of ordinary skill in the art, given the benefit of this disclosure, are within the scope of this embodiment.

Claims (10)

1.一种基建现场用临时无线网桥调整方法，其特征在于，包括以下步骤：S100，采集网桥调整信息，网桥调整信息包括无线网桥设备的状态信息、施工工作人员信息、基建现场信息和施工设备信息，无线网桥设备的状态信息包括无线网桥设备状态和无线网桥设备的覆盖范围，其中无线网桥设备的覆盖范围包括无线网桥设备的角度和高度；S200，将采集的网桥调整信息生成结构数据；S300，将结构数据输入调整模型，调整模型包括第一特征融合层、第一隐藏层、第二隐藏层和输出层，一号一维结构数据输入第一隐藏层，输出每个节点的第一隐藏状态到第二隐藏层；将当前时刻的每个无线网桥设备的相邻的无线网桥设备的初始化信息输入至第一特征融合层进行拼接获得第一融合状态，输入到第二隐藏层，初始化信息包括无线网桥设备的无线网桥设备信息和其初始的本地策略，第二隐藏层输出第二隐藏状态到输出层，输出层输出本地策略；调整模型运行两次，第一次运行时初始的本地策略用分量为0的向量表示，输出层输出初始的本地策略，第二次运行时输出执行的本地策略；解析调整模型输出的执行本地策略，调整无线网桥设备的配置信息，配置信息包括无线网桥设备的数据交换角度和无线网桥设备的数据交换高度。1. A temporary wireless bridge adjustment method for infrastructure construction site, characterized in that it comprises the following steps: S100, collecting bridge adjustment information, the bridge adjustment information comprises the status information of the wireless bridge device, the construction staff information, the infrastructure site information and the construction equipment information, the status information of the wireless bridge device comprises the wireless bridge device status and the coverage range of the wireless bridge device, wherein the coverage range of the wireless bridge device comprises the angle and height of the wireless bridge device; S200, generating structural data from the collected bridge adjustment information; S300, inputting the structural data into an adjustment model, the adjustment model comprises a first feature fusion layer, a first hidden layer, a second hidden layer and an output layer, a first one-dimensional structural data is input into the first hidden layer, and a first hidden state of each node is output to the second hidden layer; two hidden layers; input the initialization information of the adjacent wireless bridge devices of each wireless bridge device at the current moment into the first feature fusion layer for splicing to obtain the first fusion state, and input it into the second hidden layer, the initialization information includes the wireless bridge device information of the wireless bridge device and its initial local strategy, the second hidden layer outputs the second hidden state to the output layer, and the output layer outputs the local strategy; the adjustment model runs twice, the initial local strategy in the first run is represented by a vector with a component of 0, the output layer outputs the initial local strategy, and the second run outputs the executed local strategy; the execution local strategy output by the analysis adjustment model is adjusted, and the configuration information of the wireless bridge device is adjusted, and the configuration information includes the data exchange angle of the wireless bridge device and the data exchange height of the wireless bridge device. 2.根据权利要求1所述的一种基建现场用临时无线网桥调整方法，其特征在于，在S200中将采集的网桥调整信息生成结构数据的具体内容如下：基于网桥调整信息生成一号二维结构数据，一号二维结构数据包括一号数据矩阵和一号关系矩阵，一号数据矩阵的一个单元表示一个无线网桥设备的一号一维结构数据；一号关系矩阵的第i行第j列的元素表示一号数据矩阵的第i个单元和第j个单元表示的无线网桥设备之间的关联，如果存在关联，则一号关系矩阵的该元素值为1，否则为0；无线网桥设备之间存在关联指的是：无线网桥设备的通信属性相同、无线网桥设备位于同一个基建现场；一号一维结构数据包括n个按照时间排序的数据项，第t个数据项表示第t个时刻采集的网桥调整信息；在S300中还包括为每个无线网桥设备配置一个分布式模型，将结构数据输入分布式模型，通过多层处理生成初始的本地策略；通过短距离无线电通信链路接收相邻无线网桥设备的模型输出的初始的本地策略。2. According to the method for adjusting a temporary wireless bridge for infrastructure construction site described in claim 1, it is characterized in that the specific content of generating structural data from the collected bridge adjustment information in S200 is as follows: generating No. 1 two-dimensional structural data based on the bridge adjustment information, the No. 1 two-dimensional structural data includes No. 1 data matrix and No. 1 relationship matrix, a unit of the No. 1 data matrix represents No. 1 one-dimensional structural data of a wireless bridge device; the element of the i-th row and j-th column of the No. 1 relationship matrix represents the association between the i-th unit of the No. 1 data matrix and the wireless bridge device represented by the j-th unit, if there is an association, then No. 1 The value of this element of the relationship matrix is 1, otherwise it is 0; the existence of association between wireless bridge devices means that: the communication properties of the wireless bridge devices are the same and the wireless bridge devices are located at the same infrastructure site; the one-dimensional structural data includes n data items sorted by time, and the tth data item represents the bridge adjustment information collected at the tth moment; S300 also includes configuring a distributed model for each wireless bridge device, inputting the structural data into the distributed model, and generating an initial local strategy through multi-layer processing; receiving the initial local strategy output by the model of the adjacent wireless bridge device through a short-range radio communication link. 3.根据权利要求2所述的一种基建现场用临时无线网桥调整方法，其特征在于，第一隐藏层的计算公式如下：；；；；其中，、、表示权重参数，、、表示偏置参数，表示点积，其中表示序列数据的第t个序列单元，和分别表示第t个和第t-1个隐藏状态，第n个序列隐藏状态作为节点的节点特征，n≥t≥1，n表示序列数据的序列单元的总数，t=1时，tanh是双曲正切函数，表示S型函数；序列单元在输入第二隐藏层之前通过特征工程编码为特征。3. According to the method for adjusting a temporary wireless bridge for infrastructure construction site in claim 2, the calculation formula of the first hidden layer is as follows: ; ; ; ;in, , , represents the weight parameter, , , represents the bias parameter, represents the dot product, where represents the tth sequence unit of the sequence data, and Represent the t-th and t-1-th hidden states respectively, and the n-th sequence hidden state is used as the node feature of the node, n≥t≥1, n represents the total number of sequence units of the sequence data, and t=1 , tanh is the hyperbolic tangent function, represents the sigmoid function; the sequence units are encoded into features through feature engineering before entering the second hidden layer. 4.根据权利要求3所述的一种基建现场用临时无线网桥调整方法，其特征在于，第一特征融合层的计算公式如下：当前时刻的第u个相邻设备的设备信息，第u个相邻设备的初始的本地策略；；；其中，表示第v个第一融合状态，表示拼接函数，表示求和权重参数，表示求和偏置参数，表示与第v个节点存在边的节点的集合，表示第u个相邻设备的设备信息，表示第u个相邻设备的初始的本地策略，表示第u个相邻设备的设备信息和第u个相邻设备的初始的本地策略的融合信息。4. A temporary wireless bridge adjustment method for infrastructure construction site according to claim 3, characterized in that the calculation formula of the first feature fusion layer is as follows: device information of the uth neighboring device at the current moment, the initial local strategy of the uth neighboring device; ; ;in, represents the vth first fusion state, represents the concatenation function, represents the summation weight parameter, represents the summation bias parameter, represents the set of nodes that have edges with the vth node, Indicates the device information of the u-th neighboring device, represents the initial local policy of the u-th neighbor, Indicates the fusion information of the device information of the u-th neighboring device and the initial local policy of the u-th neighboring device. 5.根据权利要求4所述的一种基建现场用临时无线网桥调整方法，其特征在于，第二隐藏层的计算公式如下：；其中，表示第i个节点的隐藏状态，表示第i个节点的聚合系数，表示与第i个节点存在边的节点的集合，表示激活函数，表示状态权重系数；；；；；；其中，和分别表示第n个节点的第i个和第j个第一隐藏状态，和分别表示第i个和第j个第一融合状态，和分别表示第i个和第j个节点的节点特征，和分别表示第i个和第j个节点的线性变换特征，表示聚合权重系数，表示拼接权重系数，T表示转置，表示以自然常数为底的指数函数，LeakyRelu表示修正线性单元函数，表示与第i个节点存在边的节点的集合。5. According to the method for adjusting a temporary wireless bridge for infrastructure construction site of claim 4, the calculation formula of the second hidden layer is as follows: ;in, represents the hidden state of the i-th node, represents the aggregation coefficient of the i-th node, represents the set of nodes that have edges with the i-th node, represents the activation function, represents the state weight coefficient; ; ; ; ; ;in, and denote the i-th and j-th first hidden states of the n-th node, respectively. and denote the i-th and j-th first fusion states respectively, and Represent the node features of the i-th and j-th nodes respectively, and Represent the linear transformation features of the i-th and j-th nodes respectively, represents the aggregation weight coefficient, represents the splicing weight coefficient, T represents transposition, represents an exponential function with a natural constant as the base, LeakyRelu represents a modified linear unit function, Represents the set of nodes that have edges with the i-th node. 6.根据权利要求5所述的一种基建现场用临时无线网桥调整方法，其特征在于，输出层的计算公式如下：；其中，表示控制向量的一个分量表示一个本地策略的概率值，所有本地策略的集合称为本地策略空间，包含了所有可能被选择的本地策略，表示第v个节点的隐藏状态，表示对所有节点的隐藏状态进行拼接，N表示与识别结果有关的节点的集合，是权重参数，是偏置参数，表示S型函数。6. According to the method for adjusting a temporary wireless bridge for infrastructure construction site of claim 5, the calculation formula of the output layer is as follows: ;in, A component of the control vector represents the probability value of a local strategy. The set of all local strategies is called the local strategy space, which contains all possible local strategies that may be selected. represents the hidden state of the vth node, Indicates the concatenation of the hidden states of all nodes, N represents the set of nodes related to the recognition results, is the weight parameter, is the bias parameter, Represents a sigmoid function. 7.根据权利要求6所述的一种基建现场用临时无线网桥调整方法，其特征在于，调整模型的训练的步骤包括：步骤301，初始化调整模型的参数；步骤302，观察t时刻的网桥调整信息，t时刻执行的本地策略、e+1时刻的网桥调整信息，执行本地策略获得的奖励；步骤303，然后计算策略误差：；其中表示e时刻的策略误差，表示折扣系数，，表示调整模型输入时输出的第一输出向量中最大的概率值，表示调整模型输入时输出的第一输出向量中对应于本地策略的概率值；；其中表示第i个无线网桥设备所覆盖的用户满意度值，表示基建现场的覆盖范围，，分别表示第i个无线网桥设备所覆盖的实际通信强度和期望通信强度，，分别表示覆盖范围和通信强度差权重系数，二者之和为1，缺省值为0.4和0.6；步骤304，更新调整模型，更新的公式如下：；其中，表示深度学习的步长，表示传递更新；步骤305，迭代步骤302-304，直至调整模型收敛或者迭代次数达到设置的数值，此数值的缺省值为30。7. A temporary wireless bridge adjustment method for infrastructure construction site according to claim 6, characterized in that the step of training the adjustment model comprises: step 301, initializing the parameters of the adjustment model; step 302, observing the bridge adjustment information at time t , the local policy executed at time t , Bridge adjustment information at time e+1 , execute local policy Rewards ; Step 303, then calculate the strategy error: ;in represents the policy error at time e, represents the discount factor, , Indicates adjustment of model input The maximum probability value in the first output vector output when Indicates adjustment of model input The first output vector outputted when the local strategy The probability value of ;in represents the user satisfaction value covered by the i-th wireless bridge device, Indicates the coverage of the infrastructure site. , They represent the actual communication strength and expected communication strength covered by the i-th wireless bridge device, , Respectively represent the weight coefficients of coverage and communication strength difference, the sum of the two is 1, and the default values are 0.4 and 0.6; Step 304, update the adjustment model, and the updated formula is as follows: ;in , represents the step size of deep learning, Indicates transfer update; step 305, iterate steps 302-304 until the adjustment model converges or the number of iterations reaches the set value, the default value of which is 30. 8.根据权利要求7所述的一种基建现场用临时无线网桥调整方法，其特征在于，本地策略空间内的本地策略由所有控制参数可能的取值随机组合获得；对于连续性数值的数据传输资源，通过均值离散化为点值，再与其他数据传输资源的可选值组合获得本地策略。8. According to the method for adjusting a temporary wireless bridge for infrastructure construction sites described in claim 7, the local policy in the local policy space is obtained by randomly combining possible values of all control parameters; for data transmission resources with continuous numerical values, the local policy is obtained by discretizing the mean into point values and then combining them with optional values of other data transmission resources. 9.一种基建现场用临时无线网桥调整系统，其特征在于，用于执行如权利要求1-8中任一的一种基建现场用临时无线网桥调整方法中的步骤，包括：数据采集模块，定期采集无线网桥设备的状态信息、施工工作人员信息和施工设备信息；数据生成模块，将采集到的信息生成结构化数据；数据预处理模块，对结构化数据进行预处理，确保输入格式统一；调整模型模块，包括第一特征融合层、第一隐藏层、第二隐藏层和输出层，输出本地策略的建议，以调整网桥的设置；策略执行模块，执行调整模型输出的本地策略，根据输出的本地策略调整无线网桥设备的角度、高度的参数。9. A temporary wireless bridge adjustment system for infrastructure construction sites, characterized in that it is used to execute the steps in a temporary wireless bridge adjustment method for infrastructure construction sites as described in any one of claims 1-8, including: a data acquisition module, which regularly collects status information, construction staff information and construction equipment information of wireless bridge equipment; a data generation module, which generates structured data from the collected information; a data preprocessing module, which preprocesses the structured data to ensure a unified input format; an adjustment model module, which includes a first feature fusion layer, a first hidden layer, a second hidden layer and an output layer, and outputs local policy recommendations to adjust the settings of the bridge; a policy execution module, which executes the local policy output by the adjustment model, and adjusts the angle and height parameters of the wireless bridge device according to the output local policy. 10.一种存储介质，其特征在于，存储有非暂时性计算机可读指令，用于执行如权利要求1-8中任一的一种基建现场用临时无线网桥调整方法中的步骤。10. A storage medium, characterized in that it stores non-transitory computer-readable instructions for executing the steps in a temporary wireless bridge adjustment method for an infrastructure site as claimed in any one of claims 1 to 8.
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