Silo group construction data acquisition method and system based on sensor network

Abstract

The invention relates to the technical field of sensor networks, and particularly discloses a silo group construction data acquisition method and system based on a sensor network, and the method comprises the following steps: S1, obtaining a top view of a silo group, marking target silos, and installing a GNSS measurement station at the connection part of the target silos; s2, setting a receiving time period, acquiring position information of the GNSS measuring station at a starting point and an ending point of the receiving time period, recording the position information as first information and second information, calculating a first coordinate and a second coordinate, judging whether the silo is inclined or not, and calculating an offset rate when the silo is inclined; and S3, calculating the speed increase of the vertical shaft, and judging whether the acquired position information is correct or not according to constraint conditions. According to the method for collecting the construction data of the silo group, whether the silo group inclines or not during construction is judged, and the accuracy and safety during silo construction are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of sensor networks, and in particular to a method and system for collecting construction data of a silo group based on a sensor network. Background Art

[0002] Silos are vertical or cylindrical containers used to store bulk materials (such as grain, cement, and chemicals), typically constructed of reinforced concrete or steel. In the grain storage industry, silos are typically constructed in multiple rows and columns to improve production efficiency and incorporate relevant processes.

[0003] Silo complexes are typically constructed using slipform technology, a technique widely used in large silo construction due to its efficiency and continuous construction. Slipform technology is a highly efficient, continuous concrete pouring process widely used in the construction of tall structures such as silos, chimneys, and water towers. Its core principle is to utilize a sliding formwork system that continuously advances along the height of the building, continuously pouring concrete. This eliminates the tedious process of traditional formwork removal and reinstallation after each floor.

[0004] In the prior art, when the silo group sliding formwork is sliding, due to the asynchrony of the jacks during the sliding process, a lift difference occurs between the various parts of the formwork system, resulting in displacement and tilting of the operating platform and deviation in the verticality of the building, affecting the quality of the project. For silo groups with a relatively high height. During the sliding formwork construction process, the verticality of the formwork system must be ensured to ensure the verticality of the silo group structure. If the verticality does not meet the standard, it may cause the silo group structure to tilt or be asymmetrical, affecting its use function and appearance. Therefore, there is an urgent need for a method to determine the correctness of the construction data collected for the silo group and to determine whether the silo group is tilted during construction. Summary of the Invention

[0005] The purpose of the present invention is to provide a silo group construction data collection method and system based on a sensor network to solve the above technical problems.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A sensor network-based silo group construction data collection method and system includes the following steps: S1: Obtain a top view of the silo cluster, mark two adjacent silos in the same row as target silos, and install a GNSS measurement station at the junction of every two target silos; S2: Setting a receiving period T, obtaining the location information of a single GNSS measuring station at the start and end of the receiving period T, respectively recorded as first information and second information, wherein the location information includes the longitude Lat, latitude Lon, and altitude H of the GNSS measuring station; calculating a first coordinate and a second coordinate based on the first information and the second information, determining whether the silo is tilted based on the first coordinate and the second coordinate, and calculating a deviation rate Δv when tilt occurs; S3: Calculate vertical axis speed , z now Represents the vertical axis coordinate in the second coordinate, z last Represents the vertical axis coordinate in the first coordinate. If the constraint condition If it is established, the position information collected during this reception period is correct, where Δz sta Represents the rated rate of rise of silo group construction equipment.

[0007] As a further solution of the present invention: in the step S1, the GNSS measurement station is installed at the top of the target silo connection.

[0008] As a further solution of the present invention: in the step S1, the acceptance period T is set to be greater than the sampling interval of the GNSS measurement station, and the sampling interval refers to the time interval between two consecutive data collections of the GNSS measurement station.

[0009] As a further solution of the present invention: in step S2, the method of calculating the first coordinate and the second coordinate based on the first information and the second information includes: Convert longitude Lat to radians , convert latitude Lon to radians , calculate the radius of curvature , where f represents the preset ellipsoid flattening, a is the preset major semi-axis, and the horizontal axis coordinate is calculated , calculate the vertical axis coordinate , calculate the vertical axis coordinate , then x1, y1, z1 in the first coordinate A (x1, y1, z1) represent the horizontal axis coordinate, vertical axis coordinate, and vertical axis coordinate in the first coordinate respectively, and x2, y2, z2 in the second coordinate B (x2, y2, z2) represent the horizontal axis coordinate, vertical axis coordinate, and vertical axis coordinate in the second coordinate respectively.

[0010] As a further solution of the present invention: in step S2, the method for determining whether the silo is tilted based on the first coordinate and the second coordinate includes: In step S2, the method for determining whether the silo is tilted based on the first coordinate and the second coordinate includes: If x1≠x2, it means the silo is tilted; If y1≠y2, it means the silo is tilted; If x1=x2 and y1=y2, the silo is not tilted.

[0011] As a further solution of the present invention: in step S2, the method for calculating the offset rate Δv includes: Calculate the horizontal axis offset cx=x2-x1 and the vertical axis offset cy=y2-y1, and calculate the offset rate .

[0012] As a further solution of the present invention: in step S3, the probability P=N of correct data acquisition is obtained. s / N all , where N s Represents the number of correct data collection times, N all Represents the total number of data collection times. If the probability P is less than 80%, the staff will be prompted to check the GNSS measurement station.

[0013] A silo group construction data acquisition system based on a sensor network, comprising: Equipment module: Obtain a top view of the silo cluster, mark two adjacent silos in the same row as target silos, and install a GNSS measurement station at the connection between every two target silos; Acquisition and processing module: Set a receiving period T, obtain the location information of a single GNSS measurement station at the start and end of the receiving period T, and record them as first information and second information respectively. The location information includes the longitude Lat, latitude Lon and altitude H of the GNSS measurement station; calculating a first coordinate and a second coordinate based on the first information and the second information, determining whether the silo is tilted based on the first coordinate and the second coordinate, and calculating a deviation rate Δv when tilt occurs; Judgment module: calculate vertical axis growth rate , z now Represents the vertical axis coordinate in the second coordinate, z last Represents the vertical axis coordinate in the first coordinate. If the constraint condition If it is established, the position information collected during this reception period is correct, where Δz sta Represents the rated rate of rise of silo group construction equipment.

[0014] The beneficial effects of the present invention are as follows: data is collected through GNSS measurement stations and information is transmitted through the GNSS monitoring network. The verticality of the silo group is then monitored using the GNSS monitoring network. The position information of all GNSS reference stations is acquired and analyzed, and the position information of the GNSS reference stations is converted into first coordinates and second coordinates. Afterwards, it is determined whether the silo is tilted based on the first coordinates and the second coordinates. When tilt occurs, the offset rate is calculated, and then the vertical axis acceleration and constraint conditions are used to determine whether the position information collected this time is correct. The present invention implements a method for collecting construction data of a silo group, thereby determining whether tilt occurs during construction of the silo group and improving the accuracy and safety of the silo construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The present invention will be further described below with reference to the accompanying drawings.

[0016] Figure 1 This is a flow chart of a sensor network-based silo group construction data collection method and system of the present invention. Figure 2 For the silo group perception system architecture, Figure 3 This is the installation point distribution map of the GNSS measurement stations. Figure 4 Provides the framework for the verticality monitoring solution for silo clusters. Figure 5 For GNSS monitoring network structure, Figure 6 Build a graph for the GNSS network, Figure 7 The verticality monitoring principle of silo group, Figure 8 For the stress monitoring solution architecture, Figure 9 This is the installation method of CD-4050 vibrating wire surface strain gauge. Figure 10 are the performance parameters of the GNSS measurement station. DETAILED DESCRIPTION

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making any creative efforts shall fall within the scope of protection of the present invention.

[0018] See also Figure 1 As shown, the present invention is a method and system for collecting data on silo group construction based on a sensor network, comprising the following steps: S1: Obtain a top view of the silo cluster, mark two adjacent silos in the same row as target silos, and install a GNSS measurement station at the junction of every two target silos; S2: Setting a receiving period T, obtaining the location information of a single GNSS measuring station at the start and end of the receiving period T, respectively recorded as first information and second information, wherein the location information includes the longitude Lat, latitude Lon, and altitude H of the GNSS measuring station; calculating a first coordinate and a second coordinate based on the first information and the second information, determining whether the silo is tilted based on the first coordinate and the second coordinate, and calculating a deviation rate Δv when tilt occurs; S3: Calculate vertical axis speed , z now Represents the vertical axis coordinate in the second coordinate, z last Represents the vertical axis coordinate in the first coordinate. If the constraint condition If it is established, the position information collected during this reception period is correct, where Δz sta Represents the rated rate of rise of silo group construction equipment.

[0019] It should be noted that in Figure 3 Only 6 GNSS measurement stations are intercepted in the figure. However, in actual situations, the number of equipment used needs to be adjusted according to the specific number and distribution of silos. Figure 2 The GNSS measurement stations are for reference only.

[0020] Figure 2 This is the silo group sensing system architecture. The system consists of three subsystems: the levelness monitoring module, the verticality monitoring module, and the stress monitoring module. The following operations are performed on the levelness monitoring module and the stress monitoring module: Obtain a bird's-eye view of the silo complex and install a level gauge at a pre-set location to determine whether the silos are tilted; Eight vibrating-wire wall surface stress gauges are installed at predetermined locations on the silo's cement wall. Stress data collected by the vibrating-wire wall surface stress gauges is transmitted to an 8-channel vibrating-wire acquisition instrument. The stress data represents the pressure applied to the silo's cement wall surface. The stress data is converted into an analog signal, and the stress distribution on the wall surface is determined based on the stress data.

[0021] Each module incorporates modern measurement technology, enabling real-time monitoring of the entire silo construction process through automated data collection and analysis. These three modules are used to monitor silo tilt and uneven stress distribution, improving construction accuracy and safety. This document focuses on the verticality monitoring module, providing explanatory details for the verticality and stress monitoring modules. Specific implementation plans are omitted here.

[0022] To address existing issues with level monitoring on slipform hydraulic lifting frames, such as insufficient monitoring equipment accuracy and improper data processing, a silo cluster level monitoring solution was designed. This solution consists of two main components: a level gauge installation and a level monitoring module. A level gauge is installed at the junction of every two silos, for a total of six level gauges for the 12 silos. The level gauges transmit level monitoring signals via an RS485 communication interface integrated into the adaptive control box. Upon receiving the monitoring signals, the adaptive control box determines whether the level gauges are currently level. If they are determined to be tilted, an alarm signal is sent to the hydraulic station control cabinet. Figure 3 The installation position of the level gauge is shown in FIG.

[0023] The hydraulic station control cabinet plays a key role in controlling the entire silo group slipform construction process. Its main function is to receive signals from the adaptive control box and make real-time adjustments to the hydraulic lifting system based on level monitoring data, ensuring that the construction platform remains at the ideal level.

[0024] In the verticality monitoring module, in order to solve the related problems existing in the verticality monitoring of silo groups, the following are designed: Figure 4 The vertical monitoring solution architecture of the silo group consists of Figure 4 It can be seen that the core of the silo cluster verticality monitoring technology solution is the GNSS monitoring network, which consists of 6 GNSS measuring stations, 1 GNSS base station and a private cloud server. A GNSS measuring station is installed at the connection between every two silos, and 12 silos are equipped with 6 GNSS measuring stations in total. All GNSS measuring stations are monitored by 1 GNSS base station. The GNSS base station sends the data of all GNSS measuring stations to the private cloud server via the 5G network. The edge computing cabinet also uses the 5G network to obtain the coordinate information of all GNSS base stations from the private cloud server and analyzes it to determine whether the silo has tilted during the construction process. The full name of GNSS is Global Navigation Satellite System, which refers to all satellite navigation systems, including global, regional and enhanced. GNSS is a satellite system with autonomous geographic positioning covering the entire world, used for navigation and positioning measurement. Simply put, the GNSS system uses satellite signals to transmit real-time position and time information, and thereby calculates the geographic location information such as the latitude and longitude of the ground receiving equipment. The silo verticality monitoring technology solution requires the construction of a GNSS monitoring network based on six GNSS measurement stations, one GNSS reference station, and a private cloud server. The network can be structurally divided into three parts: space segment, ground segment, and user segment. The structure diagram is shown below. Figure 5 So and Figure 6The diagram represents the GNSS network construction. The modulation method used by GNSS signals is direct sequence spread spectrum (DSSS) modulation. The first part of the signal is the carrier, which is a sine wave with a frequency point as the frequency. The second part is the spreading code, also known as the PRN code, which is a pseudo-random sequence that can be used to distinguish different satellite signals. Figure 7 To explain the verticality monitoring principle, a GNSS measuring station is installed at the top of the target silo connection. It records its current coordinates in real time and transmits them to the GNSS base station. The base station stores the coordinates of the six GNSS measuring stations on a private cloud server via the 5G network. The edge computing cabinet then obtains the coordinates of all GNSS measuring stations via the 5G network. The latest coordinates are compared with the previously acquired coordinates. A change in the x-coordinate indicates that the silo is tilted in the east-west direction (decreasing x indicates westward, increasing x indicates eastward). A change in the y-coordinate indicates that the silo is tilted in the north-south direction (decreasing y indicates southward, increasing y indicates northward). If neither the x-coordinate nor the y-coordinate changes, the silo is not tilted.

[0025] according to Figure 8 As can be seen, the silo group stress monitoring system consists of vibrating-wire wall surface stress gauges, an 8-channel vibrating-wire data acquisition device, and an intelligent control box. Each silo is equipped with eight vibrating-wire wall surface stress gauges, one 8-channel vibrating-wire data acquisition device, and one stress monitoring box. The vibrating-wire wall surface stress gauges are installed at regular intervals from bottom to top on the silo's concrete wall. The eight stress gauges are connected to the 8-channel vibrating-wire data acquisition device via data cables, which in turn are connected to the intelligent control box via data cables. The stress gauges measure the pressure applied to the wall surface and transmit the data as analog signals to the vibrating-wire data acquisition device. The intelligent control box collects the stress data stored in the vibrating-wire data acquisition device via 485 communication and transmits it to the edge computing cabinet. By analyzing this data, the stress distribution on the wall surface can be determined.

[0026] The inner layer of the silo wall is reinforced with steel, while the outer layer is cast concrete. Each silo is equipped with eight vibrating-wire wall surface strain gauges, which cover the entire silo wall. When the wall deforms, the surface strain gauges also deform. This deformation is transmitted to the vibrating wires through the front and rear ends, transforming into a change in the wire stress, thereby changing the wire's vibration frequency. An electromagnetic coil excites the wires and measures their vibration frequency. The frequency signal is transmitted via a cable to a readout device, which measures the strain caused by the deformation of the structure. The signal is collected by a data acquisition instrument and sent to the edge computing cabinet via an intelligent control box. The edge computing cabinet then interacts with the system cloud platform. If the wall deformation exceeds the strain limit, the system cloud platform will immediately issue an alarm, allowing workers to quickly detect the problem and prevent construction accidents. Figure 9 This is a vibrating wire surface strain gauge installation method. The effective length of the strain gauge is L. The front and rear ends of the embedded strain gauge and the bracket of the surface strain gauge will apply the deformation ΔL of the measured object within the length range L to the strain gauge, causing the strain gauge length to change equally, thereby changing the tightness of the steel string inside the strain gauge and changing the measured steel string vibration frequency. From this, a linear relationship between ΔL and the frequency modulus can be obtained. Figure 10 is the performance parameter of the GNSS displacement monitoring station.

[0027] In another preferred embodiment of the present invention, the GNSS measurement station is installed at the top of the target silo connection.

[0028] It's worth noting that the core goal of installing a GNSS measuring station atop the silo is to leverage its height to achieve high-precision positioning, while also accommodating structural monitoring, environmental awareness, and regional service capabilities to ensure safe silo operation and improve the efficiency of surrounding operations. By continuously collecting three-dimensional coordinate data (referred to as primary and secondary coordinates), the station can analyze the silo's long-term settlement trends or structural fatigue, helping to prevent unexpected accidents.

[0029] In another preferred embodiment of the present invention, the receiving period T is set to be greater than a sampling interval of the GNSS measurement station, where the sampling interval refers to the time interval between two consecutive data collections by the GNSS measurement station.

[0030] As you can understand, this is done to ensure data integrity. The sampling interval is the time interval between two consecutive data collections by a GNSS measurement station. If the reception period T is less than the sampling interval, incomplete data collection or partial data loss may occur. This also prevents data conflicts. If the reception period T is less than the sampling interval, data overlap or conflicts may occur. In other words, new data is received before the old data is fully processed, resulting in data processing confusion. By setting T greater than the sampling interval, each received data is guaranteed to be independent, avoiding data conflicts.

[0031] In another preferred embodiment of the present invention, the method for calculating the first coordinate and the second coordinate based on the first information and the second information includes: Convert longitude Lat to radians , convert latitude Lon to radians , calculate the radius of curvature , where f represents the preset ellipsoid flattening, a is the preset major semi-axis, and the horizontal axis coordinate is calculated , calculate the vertical axis coordinate , calculate the vertical axis coordinate , then x1, y1, z1 in the first coordinate A (x1, y1, z1) represent the horizontal axis coordinate, vertical axis coordinate, and vertical axis coordinate in the first coordinate respectively, and x2, y2, z2 in the second coordinate B (x2, y2, z2) represent the horizontal axis coordinate, vertical axis coordinate, and vertical axis coordinate in the second coordinate respectively.

[0032] It should be noted that the purpose of converting the location information of the GNSS measurement station into three-dimensional coordinates is that the three-dimensional coordinate system is a three-dimensional rectangular coordinate system based on the center of mass of the earth, which facilitates direct vector operations, distance calculations and spatial geometric analysis, thereby improving the scientificity and efficiency of data processing. In addition, in the three-dimensional coordinate system, errors such as ionospheric delay and tropospheric refraction can be corrected through algorithms, while it is difficult to directly apply such correction models in the latitude and longitude format.

[0033] In a preferred embodiment of this invention, the method for determining whether the silo is tilted based on the first coordinate and the second coordinate includes: If x1≠x2, it means the silo is tilted; If y1≠y2, it means the silo is tilted; If x1=x2 and y1=y2, the silo is not tilted.

[0034] It should be noted that according to Figure 7 The three-dimensional space coordinate system shown in FIG is obtained. Different effects will be obtained by establishing the system at different angles. The specific situation is subject to the actual coordinate system establishment situation. In this invention, Figure 7 The description will be based on the established three-dimensional space coordinate system.

[0035] In a preferred embodiment of this invention, the method for calculating the offset rate Δv includes: Calculate the horizontal axis offset cx=x2-x1 and the vertical axis offset cy=y2-y1, and calculate the offset rate .

[0036] It can be understood that the displacement of the silo in the xoy plane during the receiving period is calculated by measuring the offset in the horizontal axis direction and the offset in the vertical axis direction of the GNSS measuring station, thereby calculating the displacement speed in the xoy plane.

[0037] In another preferred embodiment of the present invention, the probability of obtaining correct data collection is P=N s / N all , where N s Represents the number of correct data collection times, N all Represents the total number of data collection times. If the probability P is less than 80%, the staff will be prompted to check the GNSS measurement station.

[0038] It is worth noting that in actual applications, GNSS signals are easily affected by various complex factors such as weather and terrain. In order to deal with these problems more effectively, the key indicator of statistical accuracy can be used to accurately distinguish different situations. Specifically, when a signal anomaly occurs, with the help of statistical analysis of the accuracy, it is possible to clearly distinguish whether it is caused by occasional environmental interference or due to persistent anomalies in the equipment itself. For occasional environmental interference, the fluctuation of its accuracy is usually random and temporary, and may only occur occasionally under specific weather or terrain conditions; while the decrease in accuracy caused by persistent equipment anomalies often presents a relatively stable and continuous state.

[0039] Based on this distinction, targeted optimization measures can be taken. In terms of equipment deployment, the appropriate equipment installation location should be selected based on the weather characteristics and terrain conditions of different regions, avoiding installation in areas prone to signal interference to improve the stability and accuracy of signal reception.

[0040] Furthermore, setting clear and reasonable thresholds is crucial for data usability. This quantitative standard provides a clear and objective basis for assessing data quality. When the accuracy rate reaches or exceeds the threshold, the data is considered highly reliable and usable, meeting the needs of various application scenarios. Conversely, when the accuracy rate falls below the threshold, it indicates that the data may contain significant errors or uncertainties, requiring further analysis and appropriate action to ensure the accuracy and reliability of the data used.

[0041] A silo group construction data acquisition system based on a sensor network, comprising: Equipment module: Obtain a top view of the silo cluster, mark two adjacent silos in the same row as target silos, and install a GNSS measurement station at the connection between every two target silos; Acquisition and processing module: Set a receiving period T, obtain the location information of a single GNSS measurement station at the start and end of the receiving period T, and record them as first information and second information respectively. The location information includes the longitude Lat, latitude Lon and altitude H of the GNSS measurement station; calculating a first coordinate and a second coordinate based on the first information and the second information, determining whether the silo is tilted based on the first coordinate and the second coordinate, and calculating a deviation rate Δv when tilt occurs; Judgment module: calculate vertical axis growth rate , z now Represents the vertical axis coordinate in the second coordinate, z last Represents the vertical axis coordinate in the first coordinate. If the constraint condition If it is established, the position information collected during this reception period is correct, where Δz staRepresents the rated rate of rise of silo group construction equipment.

[0042] The above is a detailed description of an embodiment of the present invention. However, the content described is only a preferred embodiment of the present invention and should not be considered to limit the scope of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A method for collecting data on silo construction based on a sensor network, characterized in that: The following steps are involved: S1: Obtain a top view of the silo cluster, mark two adjacent silos in the same row as target silos, and install a GNSS measurement station at the junction of every two target silos; S2: Setting a receiving period T, obtaining the location information of a single GNSS measuring station at the start and end of the receiving period T, respectively recorded as first information and second information, wherein the location information includes the longitude Lat, latitude Lon, and altitude H of the GNSS measuring station; calculating a first coordinate and a second coordinate based on the first information and the second information, determining whether the silo is tilted based on the first coordinate and the second coordinate, and calculating a deviation rate Δv when tilt occurs; S3: Calculate vertical axis speed , if the constraint If it is established, the position information collected during this reception period is correct, where Δz sta Represents the rated rate of rise of silo group construction equipment.

2. A method for collecting data on silo construction based on a sensor network according to claim 1, characterized in that: In step S1, a GNSS measuring station is installed at the top of the target silo connection.

3. The method for collecting data on silo group construction based on a sensor network according to claim 1, characterized in that: In the step S1, the receiving period T is set to be greater than the sampling interval of the GNSS measurement station, where the sampling interval refers to the time interval between two consecutive data collections by the GNSS measurement station.

4. The method for collecting data on silo construction based on a sensor network according to claim 1, characterized in that: In step S2, the method for calculating the first coordinate and the second coordinate based on the first information and the second information includes: Convert longitude Lat to radians , convert latitude Lon to radians , calculate the radius of curvature , where f represents the preset ellipsoid flattening, a is the preset major semi-axis, and the horizontal axis coordinate is calculated , calculate the vertical axis coordinate , calculate the vertical axis coordinate , then x1, y1, z1 in the first coordinate A (x1, y1, z1) represent the horizontal axis coordinate, vertical axis coordinate, and vertical axis coordinate in the first coordinate respectively, and x2, y2, z2 in the second coordinate B (x2, y2, z2) represent the horizontal axis coordinate, vertical axis coordinate, and vertical axis coordinate in the second coordinate respectively.

5. A method for collecting silo group construction data based on a sensor network according to claim 4, characterized in that: In step S2, the method for determining whether the silo is tilted based on the first coordinate and the second coordinate includes: If x1≠x2, it means the silo is tilted; If y1≠y2, it means the silo is tilted; If x1=x2 and y1=y2, the silo is not tilted.

6. A method for collecting silo group construction data based on a sensor network according to claim 5, characterized in that: In step S2, the method for calculating the offset rate Δv includes: Calculate the horizontal axis offset cx=x2-x1 and the vertical axis offset cy=y2-y1, and calculate the offset rate .

7. The method for collecting data on silo construction based on a sensor network according to claim 1, characterized in that: In step S3, the probability P=N of correct data acquisition is obtained. s / N all , where N s Represents the number of correct data collection times, N all Represents the total number of data collection times. If the probability P is less than 80%, the staff will be prompted to check the GNSS measurement station.

8. A silo group construction data acquisition system based on a sensor network, characterized in that: include: Equipment module: Obtain a top view of the silo cluster, mark two adjacent silos in the same row as target silos, and install a GNSS measurement station at the connection between every two target silos; Acquisition and processing module: Set a receiving period T, obtain the location information of a single GNSS measurement station at the start and end of the receiving period T, and record them as first information and second information respectively. The location information includes the longitude Lat, latitude Lon and altitude H of the GNSS measurement station; calculating a first coordinate and a second coordinate based on the first information and the second information, determining whether the silo is tilted based on the first coordinate and the second coordinate, and calculating a deviation rate Δv when tilt occurs; Judgment module: calculate vertical axis growth rate , z now Represents the vertical axis coordinate in the second coordinate, z last Represents the vertical axis coordinate in the first coordinate. If the constraint condition If it is established, the position information collected during this reception period is correct, where Δz sta Represents the rated rate of rise of silo group construction equipment.

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