Thickness measuring device for highway cost based on internet of things and data storage system

Abstract

The application discloses a thickness measuring device for highway cost based on Internet of Things and a data storage system, relates to the technical field of highway cost measurement, and comprises a base, a controller and a data storage module. A frame is fixedly arranged on the base, a rotating cylinder is rotatably connected in the sliding frame, plug-in detection components are arranged on the outer side of the rotating cylinder, the plug-in detection components are electrically connected with the controller, and a driving component for simultaneously controlling the vertical movement of the sliding frame and the rotation of the rotating cylinder is arranged on the bending frame. The data storage module comprises a local storage unit, a storage analysis unit, a storage determination unit and a cloud storage unit. The application realizes efficient processing and storage of measurement data through the data storage module, accurately filters effective parts in the measurement data, improves data accuracy, realizes hierarchical storage in combination with local and cloud storage, rationally allocates resources, guarantees the uploading quality of uploaded data, ensures data accuracy and reliability, and provides strong support for highway cost measurement.

Description

Technical Field

[0001] This invention relates to the field of highway cost measurement technology, and in particular to a thickness measurement device and data storage system for highway cost measurement based on the Internet of Things. Background Technology

[0002] Road thickness measurement is a crucial aspect of highway engineering quality control. After the paving of cement or asphalt pavement is completed, the thickness of the pavement is measured by inserting a probe into the paving material at selected testing points. Furthermore, accurate measurement of road thickness and efficient storage and analysis of the measurement data are essential in highway construction and cost assessment.

[0003] Most existing measuring devices use a pressing-insertion method to insert the probe into the pavement material. However, when dealing with thick pavement, this pressing-insertion method makes it difficult for the probe to penetrate deep into the underlying material, hindering efficient thickness measurement. Furthermore, outdated data storage and management methods cannot meet the demands of large-scale, high-frequency data acquisition, and real-time data analysis and remote access are also difficult to achieve. Therefore, it is necessary to propose an IoT-based thickness measurement device and data storage system for highway cost estimation. Summary of the Invention

[0004] The purpose of this invention is to provide a thickness measurement device and data storage system for highway construction cost based on the Internet of Things in order to solve the above-mentioned problems.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: a thickness measuring device for highway cost estimation based on the Internet of Things, comprising a base and a controller. A frame is fixedly mounted on the base, and a bending frame is rotatably connected to the side end of the frame. The controller is mounted on the bending frame, a sliding joint is slidably connected to the bending frame, and a rotating cylinder is rotatably connected to the sliding joint. An insertion-type detection component is provided on the outside of the rotating cylinder, and the insertion-type detection component is electrically connected to the controller. A drive component is provided on the bending frame to simultaneously control the vertical movement of the sliding joint and the rotation of the rotating cylinder. A displacement sensor for recording measurement data is provided on the sliding joint.

[0006] Preferably, the insertable detection component includes a detection plug slidably sleeved on the outside of the rotating cylinder, a touch button installed at the inner bottom of the detection plug, the output end of the touch button being electrically connected to the input end of the controller, a compression spring pressing the detection plug downward at the bottom of the rotating cylinder, ribs formed on the side wall of the rotating cylinder, and a groove forming in the inner wall of the detection plug to limit the sliding range of the ribs.

[0007] Preferably, the driving component includes a shaft and a screw rotatably connected to the bending frame, and an electronic control assembly that drives the shaft and screw to rotate synchronously. The shaft is rotatably connected to the rotating cylinder, and the screw is screwed to the sliding frame. A displacement sensor is provided on the sliding frame.

[0008] Preferably, the electronic control assembly includes two discs rotatably connected to the bending frame, and a drive motor mounted on the bending frame to control the rotation of the discs. The input end of the drive motor is electrically connected to the output end of the controller. A chain is meshed on the outer sides of the two discs. One disc is coaxially fixed with a shaft, and the other disc is coaxially fixed with a screw.

[0009] In this application, a data storage system for a thickness measurement device for highway cost estimation based on the Internet of Things is disclosed. The data storage system includes a data acquisition interface and a data storage module.

[0010] The data acquisition interface is used to receive measurement data from the displacement sensor in real time and perform preprocessing operations.

[0011] The data storage module includes a local storage unit, a storage analysis unit, a storage decision unit, and a cloud storage unit;

[0012] The storage and analysis unit is used to store and analyze the measurement data of the displacement sensor to obtain the thickness measurement data to be stored; and to upload the thickness measurement data to be stored to the local storage unit.

[0013] The local storage unit is used to receive and store thickness measurement data to be stored, and to mark the stored thickness measurement data as thickness measurement stored data. After receiving the identification code sent by the cloud storage data, the local storage unit deletes the thickness measurement stored data corresponding to the identification code in the local storage unit, and retains the search tag of the thickness measurement stored data.

[0014] The storage determination unit is used to perform importance determination analysis on the thickness measurement storage data stored in the local storage unit to obtain the data evaluation value of the thickness measurement storage data; set a storage evaluation threshold; if the data evaluation value is greater than or equal to the storage evaluation threshold, the thickness measurement storage data is marked as data to be uploaded to the cloud, and a list of data to be uploaded to the cloud is generated by sorting the data to be uploaded to the cloud according to the data evaluation value; if the data evaluation value is less than the storage evaluation threshold, the thickness measurement storage data is retained in the local storage unit; and the data to be uploaded to the cloud is uploaded to the cloud storage unit for storage according to the order of the list of data to be uploaded to the cloud.

[0015] The cloud storage unit is used to receive and store data to be uploaded to the cloud from the local storage unit, mark the data to be uploaded to the cloud stored in the cloud storage unit as cloud storage data, and generate an identification code; and feed back the identification code of the cloud storage data to the local storage unit.

[0016] Preferably, the measurement data from the displacement sensor is stored and analyzed, specifically as follows:

[0017] The power-on time of the thickness measuring device is taken as the first time, and the power-off time after the power-on time is taken as the second time; the time range between the first time and the second time is marked as the thickness measurement time zone;

[0018] Extract the thickness measurement value and corresponding timestamp of the object being measured from the measurement data of the displacement sensor;

[0019] The thickness measurement time zone is divided into several equal measurement zones according to time sequence. A zone measurement line graph is created, and the thickness measurement values ​​and corresponding timestamps in the measurement zones are input into the zone measurement line graph. The position of the thickness measurement value in the zone measurement line graph is marked as a thickness point. Adjacent thickness points are connected to obtain thickness lines and the slope of the thickness lines is calculated. Positive slopes are marked as positive slopes, and negative slopes are marked as negative slopes. All positive and negative slopes in the measurement zone are summed and their absolute values ​​are obtained to obtain the total positive and negative slope values. Positive and negative slope change thresholds are set. If the total positive slope value is greater than or equal to the positive slope change threshold, the measurement zone is marked as the measurement time zone. The positive slope of any thickness line in the measurement zone before the measurement time zone is identified. The positive slope of the thickness line is compared with the positive slope change threshold. If the positive slope of the thickness line is greater than the positive slope change threshold, the thickness line is marked as a measurement line. The generation time of the thickness point corresponding to the earliest generation time of the measurement line in the measurement zone is selected and marked as the measurement start time.

[0020] If the total negative slope value is greater than or equal to the negative slope change threshold, then the measurement zone is marked as the measurement end zone; the time when the smallest thickness measurement value is generated in the measurement end zone is marked as the measurement end time.

[0021] The time range between the start and end times of the measurement is marked as the thickness measurement data storage time zone; the thickness measurement values ​​of the measured objects and their corresponding timestamps within the thickness measurement data storage time zone are marked as the thickness measurement data to be stored.

[0022] Preferably, an importance determination analysis is performed on the thickness measurement storage data stored in the local storage unit, specifically as follows:

[0023] Identify the generation time of the thickness measurement storage data, and calculate the storage duration by comparing the generation time with the current time;

[0024] Identify the remaining storage space capacity within the local storage unit;

[0025] Mark the time zone between the storage time of the thickness measurement data and the current time as the stored time zone; identify the number of times the thickness measurement data is accessed within the stored time zone, and divide the number of accesses by the duration of the stored time zone to obtain the access frequency;

[0026] The data evaluation value is obtained by weighting the storage duration, remaining storage space capacity, and access frequency.

[0027] Preferably, the data storage module also includes an upload and analysis unit;

[0028] The upload analysis unit is used to analyze the data to be uploaded to the cloud storage unit to obtain a transmission evaluation value; a transmission threshold is set. If the transmission evaluation value is less than the transmission threshold, the data transmission quality is good and the upload operation can continue; if the transmission evaluation value is greater than or equal to the transmission threshold, it enters a waiting state and starts timing the waiting time.

[0029] Set a waiting time threshold. If the transmission evaluation value is less than the transmission threshold within the waiting time threshold, normal data upload will resume. If the waiting time is greater than the waiting time threshold, a transmission abnormality signaling will be generated. The transmission abnormality signaling is used to trigger the sending of the signaling and the corresponding transmission evaluation value and waiting time to the relevant maintenance personnel.

[0030] Preferably, the data to be uploaded to the cloud storage unit is analyzed during the upload process, specifically as follows:

[0031] Identify the transmission information of data to be uploaded to the cloud storage unit, including the upload speed, bandwidth usage, and download speed of the cloud storage unit during the process of uploading the data to the cloud storage unit;

[0032] Set a standard value for any parameter in the transmitted information, and subtract the value of the corresponding parameter in the transmitted information from the standard value of the parameter to obtain the parameter difference;

[0033] Set a transmission monitoring time zone, and calculate the mean and standard deviation of the parameter difference within the transmission monitoring time zone to obtain the mean and fluctuation value of the parameter difference.

[0034] The transmission evaluation value is obtained by weighting the parameter difference, the mean parameter difference, and the parameter difference fluctuation value.

[0035] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0036] 1. In this application, when the pavement thickness of the pavement is tested, the rotating cylinder is controlled by the drive component to rotate, and at the same time the sliding frame moves downward in the vertical direction, so that the insertion testing component extends into the uncured concrete or asphalt pavement in a rotating state, thereby satisfying the requirement for efficient insertion testing of the pavement thickness of the highway.

[0037] 2. In this application, the base increases the contact area with the uncured ground, thereby protecting the road surface around the testing point when the equipment is in use. When the device is not in use, the bending frame is rotated to be parallel to the base, which is beneficial for storing and carrying the testing device.

[0038] 3. In this application, the data storage module enables efficient processing and storage of measurement data, accurately filters the effective parts of the measurement data, improves data accuracy, and combines local and cloud storage to achieve hierarchical storage, rationally allocate resources, and ensure the upload quality of uploaded data, ensuring data accuracy and reliability, and providing strong support for highway cost measurement. Attached Figure Description

[0039] Figure 1 A perspective view of the detection device provided according to an embodiment of the present invention is shown;

[0040] Figure 2 A cross-sectional schematic diagram of a detection device provided according to an embodiment of the present invention is shown;

[0041] Figure 3 A schematic block diagram of a data storage system provided according to an embodiment of the present invention is shown.

[0042] Legend:

[0043] 1. Base; 2. Stand; 3. Bending frame; 4. Sliding frame; 5. Rotary drum; 6. Detection plug; 601. Slide groove; 7. Rib; 8. Compression spring; 9. Touch button; 10. Shaft; 11. Wheel; 12. Drive motor; 13. Chain; 14. Screw; 15. Controller. Detailed Implementation

[0044] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0045] Please see Figure 1 and Figure 2This invention provides a technical solution: a thickness measuring device for highway cost estimation based on the Internet of Things, comprising a base 1 and a controller 15. A frame 2 is fixedly mounted on the base 1, and a bending frame 3 is rotatably connected to the side end of the frame 2. The controller 15 is mounted on the bending frame 3, and a sliding joint frame 4 is slidably connected in the bending frame 3. A rotating cylinder 5 is rotatably connected in the sliding joint frame 4, and an insertion detection component is provided on the outside of the rotating cylinder 5. The insertion detection component is electrically connected to the controller 15. A drive component is provided on the bending frame 3 to simultaneously control the vertical movement of the sliding joint frame 4 and the rotation of the rotating cylinder 5. A displacement sensor is provided on the sliding joint frame 4 to record measurement data. The displacement sensor can be a linear displacement sensor, such as a wire displacement sensor or a magnetostrictive displacement sensor.

[0046] When it is necessary to test the thickness of a newly laid, uncured pavement, the bending frame 3 must first be rotated to a vertical position. Then, the rotating cylinder 5 is controlled to rotate by the drive component. At the same time, the sliding frame 4 moves downward in the vertical direction under the action of the drive component, so that the insertion detection component extends into the uncured concrete or asphalt pavement in a rotating state, thereby satisfying the requirement for efficient insertion detection of the pavement thickness of the highway. Meanwhile, the displacement sensor on the sliding frame 4 records its displacement to obtain the measurement data of the device, including the measurement time and the corresponding thickness measurement value.

[0047] By setting the base 1, the contact area with the uncured ground is increased, thereby protecting the road surface around the testing point when the equipment is in use. By rotating the bending frame 3 to the platform 2, when the device is not in use, the bending frame 3 can be rotated to be parallel to the base 1, which facilitates the storage and carrying of the testing device.

[0048] Specifically, such as Figure 1 and Figure 2 As shown, the insertion-type detection component includes a detection plug 6 that is slidably sleeved on the outside of the rotating cylinder 5. A touch button 9 is installed on the inner bottom of the detection plug 6. The output end of the touch button 9 is electrically connected to the input end of the controller 15. A compression spring 8 that presses the detection plug 6 downward is abutted against the bottom of the rotating cylinder 5. Ribs 7 are formed on the side wall of the rotating cylinder 5. A groove 601 that limits the sliding range of the ribs 7 is formed in the inner wall of the detection plug 6.

[0049] As the rotating drum 5 moves downwards, the detection plug 6, under the pressure of the compression spring 8, will simultaneously extend downwards into the road paving material until it reaches the bottom layer. At this point, the height of the detection plug 6 will no longer change. As the rotating drum 5 continues to descend, the compression spring 8 will be compressed until the bottom of the rotating drum 5 presses down on the touch button 9. Upon receiving the signal from the touch button 9, the controller 15 will stop the drive unit and record the descent distance of the sliding frame 4, thus measuring the thickness of the road paving material. Through the coordinated design of the touch button 9 and the compression spring 8, the drive unit can automatically stop operating after the detection plug 6 reaches the detection depth, and the measured value can be automatically recorded.

[0050] Specifically, such as Figure 1 and Figure 2 As shown, the driving component includes a shaft 10 and a screw 14 rotatably connected to the bending frame 3, and an electronic control assembly that drives the shaft 10 and the screw 14 to rotate synchronously. The shaft 10 is rotatably connected to the rotating cylinder 5, and the screw 14 is screwed to the sliding frame 4. A displacement sensor is provided on the sliding frame 4.

[0051] When the shaft 10 rotates, the rotating cylinder 5, which is slidably connected to the shaft 10, will rotate synchronously with it. A strip-shaped rib is formed on the side wall of the shaft 10 to slide with the inner wall of the rotating cylinder 5, so that the shaft 10 can drive the rotating cylinder 5, which is slidably connected to it, to rotate.

[0052] When the screw 14 rotates, the sliding bracket 4 will move vertically under the rotation of the screw 14. At this time, the displacement sensor records the distance that the sliding bracket 4 moves vertically and integrates it into measurement data. The bending frame 3 has an opening groove that allows the sliding bracket 4 to slide through, so that the sliding bracket 4 passes through the opening groove and is screwed into the screw 14.

[0053] The electrical control assembly includes two discs 11 rotatably connected to the bending frame 3, and a drive motor 12 mounted on the bending frame 3 to control the rotation of the discs 11. The input end of the drive motor 12 is electrically connected to the output end of the controller 15. A chain 13 is meshed on the outer side of the two discs 11. One disc 11 is coaxially fixed with the shaft 10, and the other disc 11 is coaxially fixed with the screw 14.

[0054] Start the drive motor 12 so that the two wheel discs 11 rotate synchronously under the action of the chain 13, thereby driving the shaft 10 and the screw 14 to rotate synchronously.

[0055] Specifically, such as Figure 3 As shown, the data storage system of the thickness measurement device for highway cost estimation based on the Internet of Things is applied within the controller 15; the data storage system includes a data acquisition interface and a data storage module;

[0056] The data acquisition interface is used to receive measurement data from the displacement sensor in real time and perform preprocessing operations; the preprocessing operations include data cleaning, format unification, and outlier detection.

[0057] The data storage module includes a local storage unit, a storage analysis unit, a storage decision unit, and a cloud storage unit;

[0058] The storage and analysis unit is used to store and analyze the measurement data of the displacement sensor to obtain the thickness measurement data to be stored; and to upload the thickness measurement data to be stored to the local storage unit.

[0059] The local storage unit is used to receive and store thickness measurement data to be stored, and to mark the stored thickness measurement data as thickness measurement stored data. After receiving the identification code sent by the cloud storage data, the local storage unit deletes the thickness measurement stored data corresponding to the identification code in the local storage unit, and retains the search tag of the thickness measurement stored data.

[0060] The storage determination unit is used to perform importance determination analysis on the thickness measurement storage data stored in the local storage unit to obtain the data evaluation value of the thickness measurement storage data; set a storage evaluation threshold; if the data evaluation value is greater than or equal to the storage evaluation threshold, the thickness measurement storage data is marked as data to be uploaded to the cloud, and a list of data to be uploaded to the cloud is generated by sorting the data to be uploaded to the cloud according to the data evaluation value; if the data evaluation value is less than the storage evaluation threshold, the thickness measurement storage data is retained in the local storage unit; and the data to be uploaded to the cloud is uploaded to the cloud storage unit for storage according to the order of the list of data to be uploaded to the cloud.

[0061] The cloud storage unit is used to receive and store data to be uploaded to the cloud from the local storage unit, mark the data to be uploaded to the cloud stored in the cloud storage unit as cloud storage data, and generate an identification code; and feed back the identification code of the cloud storage data to the local storage unit.

[0062] Specifically, the measurement data from the displacement sensor is stored and analyzed, including:

[0063] The power-on time of the thickness measuring device is taken as the first time, and the power-off time after the power-on time is taken as the second time; the time range between the first time and the second time is marked as the thickness measurement time zone;

[0064] Extract the thickness measurement value and corresponding timestamp of the object being measured from the measurement data of the displacement sensor;

[0065] The thickness measurement time zone is divided into several equal measurement zones according to time sequence. A zone measurement line graph is created, and the thickness measurement values ​​and corresponding timestamps in the measurement zones are input into the zone measurement line graph. The positions of the thickness measurement values ​​in the zone measurement line graph are marked as thickness points. Adjacent thickness points are connected to obtain thickness lines, and the slope of the thickness lines is calculated. According to the sign of the slope, slopes with positive values ​​are marked as positive slopes, and slopes with negative values ​​are marked as negative slopes. All positive and negative slopes in the measurement zone are summed, and the absolute values ​​are obtained to obtain the total positive slope value and the total negative slope value. It should be noted that the positive slope total value reflects the strength of the overall upward trend in thickness measurements within the measurement zone. A larger positive slope total value may indicate that the probe 6 penetrates the road surface material relatively smoothly during that time period, encountering less resistance, suggesting the material is relatively loose within that depth range, or that the probe 6 advances at a faster speed. Conversely, the negative slope total value reflects the strength of the overall downward trend in thickness measurements within the measurement zone. A larger negative slope total value typically indicates that the probe encounters greater resistance near the end of the measurement zone, such as when the material becomes denser near the bottom layer of the road surface, or when the probe... The movement of the probe is somewhat hindered. By comparing the total negative slope value with the negative slope change threshold, it can be determined whether the measurement is nearing its end, thus identifying the measurement end zone. Positive and negative slope change thresholds are set. If the total positive slope value is greater than or equal to the positive slope change threshold, the measurement zone is marked as the measurement in progress zone. It should be noted that by comparing the total positive slope value with the positive slope change threshold, it can be determined whether the measurement zone is in the measurement in progress stage, i.e., whether the probe is normally penetrating the road surface material for measurement, thus determining the measurement in progress zone. The positive slope of any thickness line within the measurement zone before the measurement in progress zone is identified. The positive slope of the thickness line is compared with the positive slope change threshold. If the positive slope of the thickness line is greater than the positive slope change threshold, the thickness line is marked as a measurement line. The generation time of the thickness point corresponding to the earliest generated measurement line in the measurement zone is marked as the measurement start time. It should be noted that determining the measurement start time helps to accurately define the starting point of effective data during the measurement process, excluding unstable data or data unrelated to the actual road surface thickness measurement that may exist in the early stages of measurement, such as data from uneven road surfaces or the initial adjustment stage of the measuring device.

[0066] If the total negative slope value is greater than or equal to the negative slope change threshold, the measurement zone is marked as the measurement end zone. It should be noted that a large total negative slope value indicates that the detection plug encountered greater resistance in that zone, possibly due to increased material density near the bottom layer of the road surface. For example, for cement concrete pavement, the concrete hardness is greater near the bottom layer, making it difficult for the detection plug 6 to penetrate, and the total negative slope value will increase significantly. By comparing the total negative slope value with the negative slope change threshold, it is possible to accurately determine whether the measurement is nearing its end, thus identifying the measurement end zone. The moment when the smallest thickness measurement value is generated in the measurement end zone is marked as the measurement end moment. This measurement end moment marks the point in time when the detection plug 6 penetrates to the deepest position in the road surface material (i.e., the bottom layer of the road surface), which is crucial for accurately determining the thickness of the highway pavement. Determining the measurement end moment helps to accurately define the end stage of the measurement process, ensuring that the stored data accurately reflects the pavement thickness and providing reliable data support for subsequent highway cost calculation and pavement quality assessment.

[0067] The time range between the start and end times of the measurement is marked as the thickness measurement data storage time zone; the thickness measurement values ​​of the measured objects and their corresponding timestamps within the thickness measurement data storage time zone are marked as the thickness measurement data to be stored.

[0068] It should be noted that determining the data storage time zone for thickness measurements involves selecting truly relevant and valid data segments from the entire measurement process's time series. During the measurement process, there may be unstable phases in the initial startup phase of the measuring device (such as equipment self-checks and initial positioning) and invalid data that may appear after the measurement is completed (such as abnormal data after the detection plug 6 completely extends beyond the road surface). By determining this storage time zone, interference from these irrelevant data can be effectively eliminated. The thickness measurement values ​​and corresponding timestamps of the measured objects within the storage time zone are marked as thickness measurement data to be stored, allowing subsequent data processing and analysis to directly focus on this data. These valuable data, with timestamps, imbue each thickness measurement with a temporal dimension. This not only reflects the changes in pavement thickness at different times but also allows for the study of the dynamic characteristics of the measurement process in subsequent analyses. For instance, by analyzing the trend of thickness measurements over time, the compaction of pavement materials during the paving process can be determined. If the thickness measurement gradually decreases over a certain period, it may indicate that the pavement material in that area is being compacted, effectively assessing the quality of pavement construction. Furthermore, when calculating highway costs, accurate thickness measurements and their corresponding timestamps help engineers more precisely calculate material usage and costs at different construction stages.

[0069] As can be seen from the above, the purpose of storing and analyzing the measurement data of displacement sensors is to filter out valuable data that needs to be stored from a large amount of measurement data, thereby improving storage efficiency and data availability. This analysis method can determine the effective time period in the measurement process, that is, the thickness measurement data storage time zone, so that only the data within this time period is stored, avoiding the storage of irrelevant or low-value data.

[0070] Specifically, an importance assessment analysis is performed on the thickness measurement data stored in the local storage unit, including:

[0071] Identify the generation time of the thickness measurement storage data, and calculate the storage duration Y1 by calculating the time difference between the generation time and the current time;

[0072] Identify the remaining storage space capacity Y2 within the local storage unit;

[0073] Mark the time zone between the storage time of the thickness measurement data and the current time as the stored time zone; identify the number of accesses to the thickness measurement data within the stored time zone, and divide the number of accesses by the duration of the stored time zone to obtain the access frequency Y3;

[0074] The data evaluation value Y is obtained by weighting the stored duration, remaining storage space capacity, and access frequency, as expressed by the formula: Where f1, f3, and f2 represent the weights corresponding to the storage duration, remaining storage space capacity, and access frequency, respectively.

[0075] It should be noted that by performing importance assessment analysis on the thickness measurement data stored in the local storage unit, it is helpful to allocate storage resources rationally, determine which thickness test data should be prioritized for uploading to the cloud storage unit, and which data can be temporarily retained in the local storage unit. This mechanism effectively improves the efficiency of the storage system, avoids overloading of the local storage unit, and ensures that important data is properly preserved.

[0076] Specifically, the data storage module also includes an upload and analysis unit;

[0077] The upload analysis unit is used to analyze the data to be uploaded to the cloud storage unit to obtain a transmission evaluation value; a transmission threshold is set. If the transmission evaluation value is less than the transmission threshold, the data transmission quality is good and the upload operation can continue; if the transmission evaluation value is greater than or equal to the transmission threshold, it enters a waiting state and starts timing the waiting time.

[0078] A waiting time threshold is set. If the transmission evaluation value is less than the transmission threshold within the waiting time threshold, normal data upload is restored. If the waiting time exceeds the waiting time threshold, a transmission anomaly signaling is generated. The transmission anomaly signaling is used to trigger the sending of the signaling, the corresponding transmission evaluation value, and the waiting time to the relevant maintenance personnel, so as to promptly notify the maintenance personnel to handle the transmission anomaly and improve the reliability and stability of the system. By setting a waiting time threshold, a certain buffer time is provided for data transmission, avoiding misjudgment of transmission anomalies due to short-term network fluctuations or other temporary factors.

[0079] Specifically, the data to be uploaded to the cloud storage unit is analyzed during the upload process.

[0080] Identify the transmission information of data to be uploaded to the cloud storage unit, including the upload speed, bandwidth usage, and download speed of the cloud storage unit during the process of uploading the data to the cloud storage unit;

[0081] Set a standard value for any parameter in the transmitted information, and subtract the corresponding parameter value in the transmitted information from the standard value to obtain the parameter difference; the parameter difference is used to determine the degree of deviation between the actual transmitted parameter and the standard value.

[0082] By setting a transmission monitoring time zone, the mean and standard deviation of the parameter differences within the transmission monitoring time zone are calculated to obtain the mean and fluctuation values ​​of the parameter differences. The mean and fluctuation values ​​of the parameter differences reflect the average level and fluctuation of the parameter differences within the transmission monitoring time zone, providing a more comprehensive basis for evaluating transmission quality.

[0083] The transmission evaluation value is obtained by weighting the parameter difference, the mean parameter difference, and the parameter difference fluctuation value.

[0084] It should be noted that through the detailed monitoring and analysis of the upload analysis unit, as well as reasonable transmission thresholds and waiting mechanisms, the transmission quality of data to be uploaded to the cloud can be effectively guaranteed, improving the efficiency and reliability of data storage, and providing strong support for the data storage and management of thickness measurement devices used in highway cost estimation.

[0085] The above description of the embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A thickness measuring device for highway cost based on Internet of Things, comprising a base (1) and a controller (15), characterized in that, The base (1) is provided with a stand (2), the side end of the stand (2) is rotatably connected with a bending frame (3), the bending frame (3) is provided with a controller (15), the bending frame (3) is slidably connected with a sliding frame (4), the sliding frame (4) is rotatably connected with a rotary cylinder (5), the rotary cylinder (5) is provided with an insertion detection component, and the insertion detection component is electrically connected with the controller (15), the bending frame (3) is provided with a driving component for controlling the vertical movement of the sliding frame (4) and the rotation of the rotary cylinder (5); the sliding frame (4) is provided with a displacement sensor for recording measurement data; The insertion detection component comprises a detection plug (6) slidably arranged on the outer side of the rotary cylinder (5), the inner bottom of the detection plug (6) is provided with a touch button (9), the output end of the touch button (9) is electrically connected with the input end of the controller (15), the bottom of the rotary cylinder (5) is abutted with a compression spring (8) for pressing the detection plug (6) downward, the side wall of the rotary cylinder (5) is formed with a rib tooth (7), and the inner wall of the detection plug (6) is formed with a sliding groove (601) for limiting the sliding range of the rib tooth (7); The driving component comprises a shaft (10) and a screw rod (14) rotatably connected with the bending frame (3), and an electric control assembly for driving the shaft (10) and the screw rod (14) to rotate synchronously, the shaft (10) is rotatably connected with the rotary cylinder (5), and the screw rod (14) is rotatably connected with the sliding frame (4); The electric control assembly comprises two wheel discs (11) rotatably connected with the bending frame (3), and a driving motor (12) mounted on the bending frame (3) for controlling the rotation of the wheel discs (11), the input end of the driving motor (12) is electrically connected with the output end of the controller (15), the outer sides of the two wheel discs (11) are engaged with a chain (13), one of the wheel discs (11) is coaxially fixed with the shaft (10), and the other wheel disc (11) is coaxially fixed with the screw rod (14).

2. A data storage system for a thickness measuring device for highway cost based on Internet of Things, which is applied to the controller (15) and uses the thickness measuring device for highway cost based on Internet of Things according to claim 1, characterized in that, The data storage system comprises a data acquisition interface and a data storage module; The data acquisition interface is used for receiving and pre-processing the measurement data of the displacement sensor in real time; the data storage module comprises a local storage unit, a storage analysis unit, a storage determination unit and a cloud storage unit; The storage analysis unit is used for storing and analyzing the measurement data of the displacement sensor to obtain thickness measurement data to be stored; The thickness measurement data to be stored is uploaded to the local storage unit; The local storage unit is used for receiving and storing the thickness measurement data to be stored, and marking the stored thickness measurement data to be stored as thickness measurement stored data; after receiving the identification code sent by the cloud storage data, the local storage unit deletes the thickness measurement stored data corresponding to the identification code in the local storage unit, and retains the search label of the thickness measurement stored data; The storage determination unit is used for determining and analyzing the importance of the thickness measurement stored data stored in the local storage unit to obtain the data evaluation value of the thickness measurement stored data. Set a storage evaluation threshold. If the data evaluation value is greater than or equal to the storage evaluation threshold, mark the thickness measurement storage data as data to be uploaded to the cloud. Sort the data to be uploaded to the cloud according to the data evaluation value to generate a list of data to be uploaded to the cloud. If the data evaluation value is less than the storage evaluation threshold, the thickness measurement storage data will be retained in the local storage unit; the data to be uploaded to the cloud storage unit will be uploaded in the order of the list to be uploaded to the cloud for storage. The cloud storage unit is used to receive and store data to be uploaded to the cloud from the local storage unit, mark the data to be uploaded to the cloud stored in the cloud storage unit as cloud storage data, and generate an identification code; and feed back the identification code of the cloud storage data to the local storage unit.

3. The data storage system of the thickness measuring device for highway cost based on Internet of Things according to claim 2, characterized in that, The measurement data from the displacement sensor is stored and analyzed, specifically as follows: The power-on time of the thickness measuring device is taken as the first time, and the power-off time after the power-on time is taken as the second time; the time range between the first time and the second time is marked as the thickness measurement time zone; Extract the thickness measurement value and corresponding timestamp of the object being measured from the measurement data of the displacement sensor; The thickness measurement time zone is divided into several equal measurement zones according to the time sequence; A zone measurement polyline graph is established. The thickness measurement values ​​and corresponding timestamps in the measurement zone are input into the zone measurement polyline graph, and the positions of the thickness measurement values ​​in the zone measurement polyline graph are marked as thickness points. Adjacent thickness points are connected to obtain thickness lines and the slope of the thickness lines is calculated. Positive slopes are marked as positive slopes, and negative slopes are marked as negative slopes. All positive and negative slopes in the measurement zone are summed and their absolute values ​​are obtained to obtain the total positive and negative slope values. Positive and negative slope change thresholds are set. If the total positive slope value is greater than or equal to the positive slope change threshold, the measurement zone is marked as the measurement time zone. The positive slope of any thickness line in the measurement zone before the measurement time zone is identified. The positive slope of the thickness line is compared with the positive slope change threshold. If the positive slope of the thickness line is greater than the positive slope change threshold, the thickness line is marked as a measurement line. The generation time of the thickness point corresponding to the earliest generated measurement line in the measurement zone is selected and marked as the measurement start time. If the total negative slope value is greater than or equal to the negative slope change threshold, then the measurement zone is marked as the measurement end zone; the time when the smallest thickness measurement value is generated in the measurement end zone is marked as the measurement end time. The time range between the start and end times of the measurement is marked as the thickness measurement data storage time zone; The thickness measurement data is stored by marking the thickness measurement value of the object within the time zone and the corresponding timestamp as the thickness measurement data to be stored.

4. The data storage system of the thickness measuring device for highway cost based on Internet of Things according to claim 2, wherein, The importance of the thickness measurement data stored in the local storage unit is determined and analyzed, specifically as follows: Identify the generation time of the thickness measurement storage data, and calculate the storage duration by comparing the generation time with the current time; Identify the remaining storage space capacity within the local storage unit; Mark a time region between a storage time of the thickness measurement storage data and a current time as a stored time zone; identify an access frequency of the thickness measurement storage data in the stored time zone, and divide the access frequency by a time length of the stored time zone to obtain the access frequency; Perform weighted processing on the stored time length, the remaining storage space capacity, and the access frequency to obtain a data evaluation value.

5. The data storage system of the thickness measuring device for highway cost based on Internet of Things according to claim 2, wherein, The data storage module further includes an upload analysis unit; The upload analysis unit is configured to perform upload analysis on the data to be uploaded to the cloud storage unit to obtain a transmission evaluation value; A transmission threshold is set, and if the transmission evaluation value is less than the transmission threshold, the data transmission quality is good, and the uploading operation can be continued; If the transmission evaluation value is greater than or equal to the transmission threshold, a waiting state is entered, and a waiting time length is started to be counted; A waiting time length threshold is set, and if the transmission evaluation value is less than the transmission threshold within the waiting time length threshold, the normal data uploading is resumed; if the waiting time length is greater than the waiting time length threshold, a transmission exception signaling is generated; The transmission exception signaling is used to trigger the transmission of the signaling and corresponding transmission evaluation value and waiting time length to the corresponding maintenance personnel.

6. The data storage system of the thickness measuring device for highway cost based on Internet of Things according to claim 5, wherein, The upload analysis on the data to be uploaded to the cloud storage unit includes the following steps: Identify transmission information of the data to be uploaded to the cloud storage unit, including an upload speed, a bandwidth occupation condition in the process of uploading the data to be uploaded to the cloud storage unit, and a download speed of the cloud storage unit; A standard value of any parameter in the transmission information is set, and a parameter difference value is obtained by subtracting a value of a corresponding parameter in the transmission information from the standard value of the parameter; A transmission monitoring time zone is set, and a parameter difference mean value and a parameter difference fluctuation value are obtained by performing mean and standard deviation calculation on the parameter difference values in the transmission monitoring time zone; The transmission evaluation value is obtained by performing weighted processing on the parameter difference value, the parameter difference mean value, and the parameter difference fluctuation value.

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