Bridge construction site wireless sensor monitoring network building method and system

Abstract

The invention discloses a bridge construction site wireless sensor monitoring network building method and system, and relates to the technical field of wireless communication networks. Comprising the following steps: acquiring the length of a bridge, installing a plurality of wireless sensors which are uniformly distributed at equal intervals outside the bridge based on the length of the bridge, acquiring a first wireless sensor, setting a parameter distance based on the position of the first wireless sensor on the bridge, and positioning a second wireless sensor. According to the invention, the historical collection data and the real-time collection data of the first wireless sensor and the second wireless sensor are collected, and the waveform detection map used for displaying the bridge construction position is constructed, so that the setting of the bridge construction site position is obtained, and the real-time monitoring of the bridge construction site position can be realized in the bridge construction process based on the real-time bridge construction position. And the number of the wireless sensors is dynamically adjusted, so that a monitoring network with relatively low energy consumption is constructed, and the processing and analysis difficulty of monitoring data is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless communication networks, and in particular to a method and system for building a wireless sensor monitoring network at a bridge construction site. Background Art

[0002] As an important transportation infrastructure, bridges are often faced with various threats from natural and man-made factors during the construction process due to their different geographical locations and structural characteristics. In order to ensure the safe operation of bridges, real-time monitoring of their structural status is particularly important. Therefore, it is necessary to set up a method and system for building a wireless sensor monitoring network at the bridge construction site.

[0003] After searching, the Chinese invention patent with publication number "CN114125775A" discloses "a road-vehicle node trusted network construction and consensus method based on blockchain". This application builds a road-vehicle information alliance chain model to adapt to the dynamic nature of vehicle movement and the efficient consensus requirements of road-vehicle data; establishes a node trust model to solve the problem of unreliable messages caused by behavioral trusted nodes; In addition, the Chinese invention patent with publication number "CN115802277A" discloses "a method and device for positioning nodes in wireless sensor networks". The application constructs an artificial fish school through the coordinates of the positioning node and the position information of the anchor node, and then uses the artificial fish school positioning method to optimize the estimation results of the positioning node; it reduces the positioning error and improves the positioning accuracy of the positioning node; Finally, the Chinese invention patent with publication number "CN114125775A" discloses "a road-vehicle node trusted network construction and consensus method based on blockchain". This application builds a road-vehicle information alliance chain model to adapt to the dynamic nature of vehicle movement and the efficient consensus requirements of road-vehicle data; establishes a node trust model to solve the problem of unreliable messages caused by behavioral trusted nodes; builds a distributed trust library for vehicle nodes, maintains and manages the trust value data of vehicle nodes, and uploads it to the blockchain to ensure the non-tamperability of the trust value; finally, the road-vehicle node information consensus technology is used to improve the vehicle's autonomous operation capability in a road-vehicle fusion environment.

[0004] However, when the technical solutions disclosed in the above patents and similar technical solutions are actually implemented, due to the limitations of bridge specifications, when it is necessary to build a monitoring network based on wireless sensors, a sufficient number of sensors are required to support it. However, during the actual construction of the bridge, keeping all sensors running at the same time will lead to excessive resource consumption, and the difficulty of data processing and analysis will increase due to the excessive number of collected values. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for building a wireless sensor monitoring network at a bridge construction site to solve the problems raised in the above-mentioned background technology.

[0006] In the first aspect, to achieve the above-mentioned purpose, the present invention provides the following technical solutions: a method for building a wireless sensor monitoring network at a bridge construction site, comprising: obtaining the length of the bridge, and installing a number of equally spaced and evenly distributed wireless sensors outside the bridge based on the length of the bridge, Acquire a first wireless sensor, set a parameter distance based on the position of the bridge where the first wireless sensor is located, and locate a second wireless sensor; Acquire historical data and real-time data collected by the first wireless sensor and the second wireless sensor respectively, and construct a waveform detection diagram for displaying the bridge construction location; Obtaining the peak positions of two curves in the waveform detection diagram, and calculating the distance difference between the peak positions of the two curves, adjusting the parameter distance based on the absolute value of the distance difference, and obtaining the bridge construction site position; Constructing a trigger rule, the trigger rule acts on all wireless sensors in the first wireless sensor and the second wireless sensor, so that the operating frequency of the wireless sensor increases as the distance to the construction site approaches; All wireless sensors between the first wireless sensor and the second wireless sensor outside the bridge are associated and a monitoring network is constructed.

[0007] As a further preferred embodiment of the present technical solution, a method for constructing a waveform detection graph includes: Acquire collected data from the first wireless sensor and the second wireless sensor, and extract characteristic parameters from the collected data; The characteristic parameters and the time axis are associated, and a waveform detection coordinate is constructed with the time axis as the horizontal coordinate axis and the characteristic parameters as the vertical coordinate axis. Based on the collected data of the first wireless sensor and the second wireless sensor, a corresponding waveform curve is drawn, and the waveform curves of the first wireless sensor and the second wireless sensor are superimposed to form a waveform detection graph.

[0008] As a further preferred embodiment of the present technical solution, a method for constructing a waveform detection graph includes: Acquire the collected data of the first wireless sensor and the second wireless sensor, extract characteristic parameters in the collected data, integrate the characteristic parameters and the time axis to form characteristic parameters with timestamps, construct waveform detection coordinates with distance as the horizontal coordinate axis and characteristic parameters as the vertical coordinate axis, draw corresponding waveform curves based on the collected data of the first wireless sensor and the second wireless sensor, superimpose the waveform curves of the first wireless sensor and the second wireless sensor, and form a waveform detection graph.

[0009] As a further preferred embodiment of the present technical solution, verification logic is recorded in the wireless sensor, and the verification logic is used to determine the confidence of the collected data; The verification logic includes: Acquire a third wireless sensor, the third wireless sensor being located between the first wireless sensor and the second wireless sensor, and acquire a waveform curve of the third wireless sensor in the waveform detection diagram; The slope values ​​of the time nodes in the waveform curve in two adjacent time periods are continuously intercepted, and the slope difference sequence is calculated by subtracting them in sequence, and the confidence of the collected data obtained by the third wireless sensor is determined based on the slope difference sequence.

[0010] As a further preferred embodiment of the present technical solution, a method for determining the confidence of the collected data obtained by the third wireless sensor based on the slope difference sequence includes: Obtain any one or two waveform curves of the first wireless sensor or the second wireless sensor in the waveform detection diagram, and continuously intercept slope values ​​of time nodes in the waveform curves in two adjacent time periods as a comparison reference; The slope difference sequence of the third wireless sensor is compared and analyzed with any one of the slope values ​​of the first wireless sensor or the second wireless sensor, and the confidence of the collected data is determined based on the comparison result.

[0011] As a further preferred embodiment of the present technical solution, the triggering rule includes: Acquire the data collected at the historical bridge construction site, generate a historical monitoring curve in the waveform detection diagram, continuously intercept the slope values ​​of the time nodes in the historical monitoring curve in two adjacent time periods, and use the obtained slope value as the judgment threshold; Obtain the real-time monitoring curve of the current bridge construction site, intercept the slope value of the time node in the current monitoring curve in two adjacent time periods, and output it as the trigger threshold; Compare the trigger threshold and the judgment threshold, set each slope value within the judgment threshold to be qualified when it is above 65%, count the qualified conditions of all subsets of the trigger threshold, and when the qualified conditions are higher than 80%, increase the operating frequency of the wireless sensor as the distance to the construction site approaches.

[0012] As a further preferred embodiment of this technical solution, The triggering rules include: Acquire the data collected at the historical bridge construction site, generate a historical monitoring curve on the waveform detection graph, and obtain the slope value at the peak of the historical monitoring curve as the judgment threshold; Obtain the real-time monitoring curve of the current bridge construction site, intercept the slope value at the peak of the real-time monitoring curve, and output it as the trigger threshold; The trigger threshold and the judgment threshold are compared, and based on the difference between the judgment threshold and the trigger threshold, the operating frequency of the wireless sensor is increased as the distance to the construction site approaches.

[0013] As a further preferred embodiment of the technical solution, the first wireless sensor is any one of the plurality of wireless sensors, and the parameter distance parameter can be 0. When the parameter distance is 0, the first wireless sensor and the second wireless sensor overlap.

[0014] In the second aspect, in order to improve the above technical solution, the present invention further proposes a system using the above bridge construction site wireless sensor monitoring network construction method, and includes: A monitoring network module, used to build the monitoring network and manage the communication between all wireless sensors; A data processing module is used to process the collected data and generate a waveform detection diagram; A trigger rule module, used to adjust the operating frequency of the wireless sensor according to the trigger rule; A verification logic module is used to execute verification logic and determine the confidence of collected data; The monitoring curve analysis module is used to analyze historical monitoring curves and real-time monitoring curves, generate evaluation thresholds and trigger thresholds, and perform comparative analysis; User interface module, used to display waveform detection diagram, monitoring curve, judgment threshold and trigger threshold, and provide user interactive operation; The sensor positioning module is used to locate the position of the wireless sensor.

[0015] As a further preferred embodiment of the present technical solution, a storage module is arranged between the monitoring network module and the data processing module, and the storage module is used to store historical collected data and real-time collected data. A prompt module is added to the verification logic module and the monitoring curve analysis module, and the prompt module is used to issue a prompt when the confidence level of the collected data is lower than a preset threshold, reminding personnel to check and process the data.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The method and system for building a wireless sensor monitoring network at a bridge construction site selects any one of all wireless sensors in the bridge as a first wireless sensor, sets a parameter distance, uses the first wireless sensor in combination with the parameter distance to obtain a second wireless sensor, collects historical and real-time data collected by the first and second wireless sensors, constructs a waveform detection diagram for displaying the bridge construction location, obtains the peak positions of two curves in the waveform detection diagram, calculates the distance difference between the peak positions of the two curves, adjusts the parameter distance based on the absolute value of the distance difference, and obtains the setting of the bridge construction site location, thereby achieving the ability to dynamically adjust the number of wireless sensors based on the real-time bridge construction location during the bridge construction process, thereby constructing a monitoring network with low energy consumption and reducing the difficulty of processing and analyzing monitoring data; In addition, by setting trigger rules, the operating frequency of the wireless sensor increases as it approaches the construction site, so that the operating frequency of all wireless sensors in the monitoring network can be adjusted along with the distance from the construction site. This improves monitoring accuracy while reducing energy consumption, ensuring efficient operation of the monitoring network. Finally, by building verification logic, wireless sensors can verify the collected data in real time during actual operation to ensure the accuracy and reliability of the data, avoid large-scale sudden changes in the operating frequency of wireless sensors during actual use, and further improve the stability and reliability of the monitoring network. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is an operation flow chart of the method of the present invention; Figure 2 A reference diagram for a second specific embodiment of the present invention; Figure 3 A reference diagram for a third specific embodiment of the present invention; Figure 4 This is a module composition diagram of the invented system. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] In a bridge construction site, due to the limitation of bridge specifications, for example, the length of the bridge is too long, when it is necessary to build a monitoring network based on wireless sensors, it is necessary not only to set up multiple wireless sensors, but also to maintain high-frequency operation of the wireless sensors during actual operation, so as to realize data collection and monitoring of the construction location in the bridge. Therefore, the technical solution proposed in this application, while solving the above-mentioned problems, also needs to consider the balance between energy consumption and monitoring accuracy in actual application.

[0020] Implementation Method 1: like Figure 1 As shown, the present invention provides a technical solution: a method for building a wireless sensor monitoring network at a bridge construction site, comprising: obtaining the length of the bridge, and installing a number of equidistant and uniformly distributed wireless sensors outside the bridge based on the length of the bridge, obtaining a first wireless sensor, setting a parameter distance based on the position of the bridge where the first wireless sensor is located, and locating the second wireless sensor, respectively obtaining historical collection data and real-time collection data of the first wireless sensor and the second wireless sensor, and constructing a waveform detection diagram for displaying the bridge construction position, obtaining the peak positions of two curves in the waveform detection diagram, and calculating the distance difference between the peak positions of the two curves, adjusting the parameter distance based on the absolute value of the distance difference, and obtaining the bridge construction site position, constructing a trigger rule, the trigger rule acts on all wireless sensors in the first wireless sensor and the second wireless sensor, so that the operating frequency of the wireless sensor increases with the approach to the construction site position, associating all wireless sensors between the first wireless sensor and the second wireless sensor outside the bridge, and carrying out the construction of a monitoring network.

[0021] It should be noted that, in this embodiment, the collected data obtained by the wireless sensor includes: temperature data, humidity data, bridge strain data and bridge vibration data. In addition, it should be added that in the process of building a monitoring network, the wireless sensor needs to be initialized first, including setting the sensor's communication protocol, data transmission frequency and power management strategy. After the initialization is completed, the wireless sensor is installed at the corresponding position of the bridge in a predetermined equidistant and uniform distribution manner. In addition, in order to ensure the accuracy and reliability of the data, each wireless sensor should have a self-calibration function to adapt to different environmental changes.

[0022] Implementation Method 2: In this embodiment, the method for constructing a waveform detection diagram includes: obtaining collected data from the first wireless sensor and the second wireless sensor, extracting characteristic parameters of the collected data, associating the characteristic parameters with the time axis, and constructing a waveform detection coordinate with the time axis as the horizontal coordinate axis and the characteristic parameters as the vertical coordinate axis, drawing a corresponding waveform curve based on the collected data from the first wireless sensor and the second wireless sensor, superimposing the waveform curves of the first wireless sensor and the second wireless sensor, and forming a waveform detection diagram.

[0023] It should be noted that the reference Figure 2 It can be seen that in this embodiment, the waveform detection diagram is used to monitor and analyze the dynamic changes of the underground structure. Through the waveform detection diagram, the vibration of the underground structure at different time points can be intuitively observed. In addition, in the waveform detection diagram, the horizontal coordinate axis of the time axis can display the time series of the collected data, and the vertical coordinate axis of the characteristic parameter can reflect the vibration intensity and frequency changes of the underground structure at different time points.

[0024] In addition, reference Figure 2 It can be seen that waveform curves of different line types represent different wireless sensor data. For example, the first wireless sensor is represented by a solid waveform curve, while the waveform curve of the second wireless sensor can be represented by a dotted line. By comparing waveform curves of different formats, the difference in data collected by each sensor can be more clearly identified.

[0025] Implementation Method 3: In this embodiment, the method for constructing a waveform detection graph includes: obtaining collected data from the first wireless sensor and the second wireless sensor, extracting characteristic parameters in the collected data, integrating the characteristic parameters and the time axis to form characteristic parameters with a timestamp, constructing waveform detection coordinates with distance as the horizontal coordinate axis and characteristic parameters as the vertical coordinate axis, drawing corresponding waveform curves based on the collected data from the first wireless sensor and the second wireless sensor, superimposing the waveform curves of the first wireless sensor and the second wireless sensor, and forming a waveform detection graph.

[0026] refer to Figure 3 It can be seen that in this embodiment, the characteristic parameters and distances are used to construct the coordinate axis, which can accurately locate the vibration conditions of the underground structure at different positions, thereby providing more detailed monitoring data for bridge construction. In this way, potential structural problems can be more effectively identified, and timely measures can be taken to repair or reinforce them, ensuring the safety and stability of bridge construction.

[0027] It should be noted that, in the present application, the characteristic parameters are a collection of temperature data, humidity data, strain data and vibration data, which are used to reflect the environment and structural status of the bridge construction site.

[0028] Implementation Method 4: It should be noted that, in the present embodiment, verification logic is recorded in the wireless sensor, and the verification logic is used to determine the confidence of the collected data. It should be noted that, in the present embodiment, the verification logic includes: obtaining a third wireless sensor, the third wireless sensor is between the first wireless sensor and the second wireless sensor, obtaining a waveform curve of the third wireless sensor in the waveform detection diagram, continuously intercepting the slope values ​​of the time nodes in the waveform curve in two adjacent time periods, and subtracting them in sequence to calculate a slope difference sequence, and determining the confidence of the collected data obtained by the third wireless sensor based on the slope difference sequence.

[0029] It should be noted that, in this embodiment, in order to further improve the accuracy of determining the data confidence, the verification logic also includes frequency analysis of the data collected by the third wireless sensor. Specifically, the waveform curve collected by the third wireless sensor is converted into a frequency domain signal through Fourier transform, and its spectrum characteristics are analyzed. If there are obvious harmonic components or noise interference in the spectrum, it can be considered that the confidence of the collected data is low. In addition, during actual operation, the verification logic also involves monitoring the temperature and humidity environmental parameters of the third wireless sensor to ensure that the accuracy of the collected data is not affected by environmental factors.

[0030] Implementation Method 5: It should be noted that, in this embodiment, the method for determining the confidence of the collected data obtained by the third wireless sensor based on the slope difference sequence includes: obtaining any one or two waveform curves of the first wireless sensor or the second wireless sensor in the waveform detection diagram, continuously intercepting the slope values ​​of the time nodes in the waveform curve in two adjacent time periods as a comparison reference, comparing and analyzing the slope difference sequence of the third wireless sensor with any one of the slope values ​​of the first wireless sensor or the second wireless sensor, and determining the confidence of the collected data based on the comparison result.

[0031] It should be noted that, in the present embodiment, the comparative analysis is performed by calculating the correlation coefficient between the slope difference sequence and the reference slope value. Specifically, the slope difference sequence of the third wireless sensor is first smoothed to eliminate noise interference, and then the correlation coefficients between the smoothed slope difference sequence and the slope values ​​of the first wireless sensor and the second wireless sensor are calculated respectively. The higher the correlation coefficient, the closer the slope difference sequence of the third wireless sensor is to the slope value of the corresponding wireless sensor, thereby indicating that the confidence of the data collected by the third wireless sensor is higher.

[0032] Implementation Method 6: In this embodiment, the trigger rules include: obtaining collected data from historical bridge construction sites, generating a historical monitoring curve in a waveform detection diagram, continuously intercepting the slope values ​​of time nodes in the historical monitoring curve in two adjacent time periods, and using the acquired slope values ​​as a judgment threshold, obtaining a real-time monitoring curve for the current bridge construction site, intercepting the slope values ​​of time nodes in the current monitoring curve in two adjacent time periods, and outputting them as a trigger threshold, comparing the trigger threshold and the judgment threshold, setting each slope value within the judgment threshold to be qualified at more than 65%, and counting the qualified conditions of all subsets of the trigger threshold. When the qualified condition is higher than 80%, the operating frequency of the wireless sensor increases as the distance to the construction site approaches.

[0033] It should be noted that in this embodiment, the comparison process between the evaluation threshold set in the trigger rule and the trigger threshold is intended to ensure the accuracy and reliability of the real-time monitoring data. By analyzing the historical monitoring data, a relatively stable evaluation standard is established to effectively evaluate the current monitoring data. When the slope value of the real-time monitoring data is above 65% of the evaluation threshold, it indicates that the current condition of the bridge construction site is within an acceptable range compared with the historical data, thereby ensuring the stability and continuity of the monitoring system.

[0034] Implementation Method 7: As a supplement to implementation method six, in this implementation method, the trigger rules include: obtaining collected data from historical bridge construction sites, generating a historical monitoring curve in the waveform detection diagram, obtaining the slope value at the peak of the historical monitoring curve as a judgment threshold, obtaining the real-time monitoring curve of the current bridge construction site, intercepting the slope value at the peak of the real-time monitoring curve, and outputting it as a trigger threshold, comparing the trigger threshold and the judgment threshold, and based on the difference between the judgment threshold and the trigger threshold, allowing the operating frequency of the wireless sensor to increase as the distance to the construction site approaches.

[0035] Implementation Method 8: As a preferred implementation, in this implementation, the first wireless sensor is any one of several wireless sensors, and the parameter distance parameter can be 0. When the parameter distance is 0, the first wireless sensor and the second wireless sensor overlap.

[0036] It should be noted that in order to improve the reliability and monitoring accuracy of the system, this embodiment also introduces a third wireless sensor. The third wireless sensor, like the first and second wireless sensors, has a distance parameter. By arranging the third wireless sensor at a position different from the first two, multi-angle and multi-directional monitoring of the same monitoring area can be achieved.

[0037] Implementation Method 9: refer to Figure 4It can be seen that the present invention also provides a system for building a wireless sensor monitoring network at a bridge construction site. It should be noted that the system disclosed in this embodiment uses the above-mentioned method for building a wireless sensor monitoring network at a bridge construction site, and includes: a monitoring network module, which is used to build a monitoring network and manage the communication between all wireless sensors, a data processing module, which is used to process the collected data and generate a waveform detection diagram, a trigger rule module, which is used to adjust the operating frequency of the wireless sensor according to the trigger rule, a verification logic module, which is used to execute the verification logic and determine the confidence of the collected data, a monitoring curve analysis module, which is used to analyze historical monitoring curves and real-time monitoring curves, generate judgment thresholds and trigger thresholds, and perform comparative analysis, a user interface module, which is used to display waveform detection diagrams, monitoring curves, judgment thresholds and trigger thresholds, and provide user interactive operations, and a sensor positioning module, which is used to locate the position of the wireless sensor.

[0038] It should be noted that, as a preferred implementation, in this implementation, a storage module is arranged between the monitoring network module and the data processing module, the storage module is used to store historical collected data and real-time collected data, and a prompt module is added to the verification logic module and the monitoring curve analysis module. The prompt module is used to issue a prompt when the confidence level of the collected data is lower than a preset threshold, reminding personnel to check and process.

[0039] It should be added that, in this embodiment, the monitoring network module further includes multiple sensor nodes, which are distributed in different locations in the monitoring area to achieve comprehensive coverage of environmental parameters. Each sensor node has data collection, preliminary processing and wireless transmission functions to ensure that data can be transmitted to the data processing module in real time and accurately.

[0040] In addition, it should be noted that the data processing module includes a data fusion unit and a data classification unit. The data fusion unit is responsible for integrating data from different sensor nodes to eliminate redundant information and improve data reliability. The data classification unit classifies and stores data according to the type and source of the data to facilitate subsequent analysis and processing. Historical collected data and real-time collected data are stored in the data storage module, using efficient data compression and indexing technology to ensure fast reading and writing and long-term preservation of data. In addition, the data storage module also has a data backup function to prevent data loss or damage. The verification logic module is mainly responsible for logical verification of the collected data to ensure the accuracy and completeness of the data. Integrity. When the data does not conform to the preset logical rules, the verification logic module will trigger the corresponding processing flow to correct or eliminate the erroneous data. The monitoring curve analysis module focuses on trend analysis and anomaly detection of the collected data. By comparing historical data and real-time data, the monitoring curve analysis module can promptly detect abnormal fluctuations in the data and generate corresponding analysis reports. Finally, the prompt module provides intuitive prompt information to the operator through a graphical user interface (GUI) or sound prompt. When the confidence level of the collected data is lower than the preset threshold, the prompt module will immediately issue an alarm to remind the operator to perform necessary inspections and processing to ensure the stable operation of the system and the accuracy of the data.

[0041] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is limited by the attached embodiments and their equivalents.

Claims

1. A method for building a wireless sensor monitoring network at a bridge construction site, comprising: The length of the bridge is obtained, and a number of equally spaced and evenly distributed wireless sensors are installed outside the bridge based on the length of the bridge, wherein: Acquire a first wireless sensor, set a parameter distance based on the position of the bridge where the first wireless sensor is located, and locate a second wireless sensor; Acquire historical data and real-time data collected by the first wireless sensor and the second wireless sensor respectively, and construct a waveform detection diagram for displaying the bridge construction location; Obtaining the peak positions of two curves in the waveform detection diagram, and calculating the distance difference between the peak positions of the two curves, adjusting the parameter distance based on the absolute value of the distance difference, and obtaining the bridge construction site position; Constructing a trigger rule, the trigger rule acts on all wireless sensors in the first wireless sensor and the second wireless sensor, so that the operating frequency of the wireless sensor increases as the distance to the construction site approaches; All wireless sensors between the first wireless sensor and the second wireless sensor outside the bridge are associated and a monitoring network is constructed.

2. A method for building a wireless sensor monitoring network at a bridge construction site according to claim 1, characterized in that: The method for constructing the waveform detection diagram includes: Acquire collected data from the first wireless sensor and the second wireless sensor, and extract characteristic parameters from the collected data; The characteristic parameters and the time axis are associated, and a waveform detection coordinate is constructed with the time axis as the horizontal coordinate axis and the characteristic parameters as the vertical coordinate axis. Based on the collected data of the first wireless sensor and the second wireless sensor, a corresponding waveform curve is drawn, and the waveform curves of the first wireless sensor and the second wireless sensor are superimposed to form a waveform detection graph.

3. A method for building a wireless sensor monitoring network at a bridge construction site according to claim 1, characterized in that: The method for constructing the waveform detection diagram includes: Acquire the collected data of the first wireless sensor and the second wireless sensor, extract characteristic parameters in the collected data, integrate the characteristic parameters and the time axis to form characteristic parameters with timestamps, construct waveform detection coordinates with distance as the horizontal coordinate axis and characteristic parameters as the vertical coordinate axis, draw corresponding waveform curves based on the collected data of the first wireless sensor and the second wireless sensor, superimpose the waveform curves of the first wireless sensor and the second wireless sensor, and form a waveform detection graph.

4. A method for establishing a wireless sensor monitoring network at a bridge construction site according to any one of claims 1 to 3, characterized in that: The wireless sensor has verification logic recorded therein, and the verification logic is used to determine the confidence of the collected data; The verification logic includes: Acquire a third wireless sensor, the third wireless sensor being located between the first wireless sensor and the second wireless sensor, and acquire a waveform curve of the third wireless sensor in the waveform detection diagram; The slope values ​​of the time nodes in the waveform curve in two adjacent time periods are continuously intercepted, and the slope difference sequence is calculated by subtracting them in sequence, and the confidence of the collected data obtained by the third wireless sensor is determined based on the slope difference sequence.

5. A method for building a wireless sensor monitoring network at a bridge construction site according to claim 4, characterized in that: The method for determining the confidence of the collected data obtained by the third wireless sensor based on the slope difference sequence includes: Obtain any one or two waveform curves of the first wireless sensor or the second wireless sensor in the waveform detection diagram, and continuously intercept slope values ​​of time nodes in the waveform curves in two adjacent time periods as a comparison reference; The slope difference sequence of the third wireless sensor is compared and analyzed with any one of the slope values ​​of the first wireless sensor or the second wireless sensor, and the confidence of the collected data is determined based on the comparison result.

6. A method for establishing a wireless sensor monitoring network at a bridge construction site according to any one of claims 1 to 3, characterized in that: The triggering rules include: Acquire the data collected at the historical bridge construction site, generate a historical monitoring curve in the waveform detection diagram, continuously intercept the slope values ​​of the time nodes in the historical monitoring curve in two adjacent time periods, and use the obtained slope value as the judgment threshold; Obtain the real-time monitoring curve of the current bridge construction site, intercept the slope value of the time node in the current monitoring curve in two adjacent time periods, and output it as the trigger threshold; Compare the trigger threshold and the judgment threshold, set each slope value within the judgment threshold to be qualified when it is above 65%, count the qualified conditions of all subsets of the trigger threshold, and when the qualified conditions are higher than 80%, increase the operating frequency of the wireless sensor as the distance to the construction site approaches.

7. A method for establishing a wireless sensor monitoring network at a bridge construction site according to any one of claims 1 to 3, characterized in that: The triggering rules include: Acquire the data collected at the historical bridge construction site, generate a historical monitoring curve on the waveform detection graph, and obtain the slope value at the peak of the historical monitoring curve as the judgment threshold; Obtain the real-time monitoring curve of the current bridge construction site, intercept the slope value at the peak of the real-time monitoring curve, and output it as the trigger threshold; The trigger threshold and the judgment threshold are compared, and based on the difference between the judgment threshold and the trigger threshold, the operating frequency of the wireless sensor is increased as the distance to the construction site approaches.

8. The method for establishing a wireless sensor monitoring network at a bridge construction site according to claim 1, characterized in that: The first wireless sensor is any one of the plurality of wireless sensors, and the parameter distance parameter can be 0. When the parameter distance is 0, the first wireless sensor and the second wireless sensor overlap.

9. A bridge construction site wireless sensor monitoring network construction system, using a bridge construction site wireless sensor monitoring network construction method according to any one of claims 1 to 8, characterized in that: include: A monitoring network module, used to build the monitoring network and manage the communication between all wireless sensors; A data processing module is used to process the collected data and generate a waveform detection diagram; A trigger rule module, used to adjust the operating frequency of the wireless sensor according to the trigger rule; A verification logic module is used to execute verification logic and determine the confidence of collected data; The monitoring curve analysis module is used to analyze historical monitoring curves and real-time monitoring curves, generate evaluation thresholds and trigger thresholds, and perform comparative analysis; User interface module, used to display waveform detection diagram, monitoring curve, judgment threshold and trigger threshold, and provide user interactive operation; The sensor positioning module is used to locate the position of the wireless sensor.

10. A bridge construction site wireless sensor monitoring network construction system according to claim 9, characterized in that: A storage module is arranged between the monitoring network module and the data processing module, and the storage module is used to store historical collected data and real-time collected data. A prompt module is added to the verification logic module and the monitoring curve analysis module, and the prompt module is used to issue a prompt when the confidence level of the collected data is lower than a preset threshold, so as to remind personnel to check and process the data.

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