A smart tidal level forecasting and monitoring device and its working method

Abstract

This invention discloses an intelligent tidal level forecasting and monitoring device, comprising a positioning buoy, a tidal level monitoring base, a silt monitoring module, a time-varying factor information acquisition module, and a signal processing base station. The bottom of the tidal level monitoring base is connected to a settling anchor point via an anchor chain. A pressure level monitoring sensor and a data integration unit are located inside the tidal level monitoring base. A level measuring instrument is located inside the silt monitoring module. A center-of-gravity adjustment ring is located around the silt monitoring module, and a solid weight block is located inside the center-of-gravity adjustment ring. A silt floating layer airbag is located at the bottom of the silt monitoring module. This invention monitors the permeability of underwater artificial structures near tidal levels, such as ships, ports, or dikes, to determine whether a thick layer of silt has formed on the underwater surface. It also determines the error of the monitored tidal level, thereby ensuring the accuracy of tidal level monitoring.

Description

Technical Field

[0001] This invention relates to the field of tidal technology, specifically to an intelligent tidal level forecasting and monitoring device and its working method. Background Technology

[0002] Tides are the periodic rise and fall of seawater caused by the gravitational pull of the moon and the sun. Tides are one of the most important components of the marine environment. In the process of ship transportation in ports, in order to avoid ships running aground and ensure the safety and efficiency of ship transportation, it is necessary to accurately determine the tidal water level information. Accurate tidal information is an important condition for the safe navigation of ships. The main method of tide forecasting is harmonic analysis, with an average forecast error of 20-30 cm. By dividing the tide into several tidal constituents and using harmonic analysis to determine the parameters of each tidal constituent, tide forecasting can be achieved.

[0003] For man-made structures such as ships, ports, or dikes that are close to the tidal level, their bottoms are relatively regular sloping surfaces. However, during tidal changes, there are not only vertical water level changes but also longitudinal runoff. In this process, sediment and other substances in the water are carried onto the sloping surface and remain there when the tide recedes, which has a certain impact on the vertical tidal level.

[0004] Furthermore, within a certain region, the differences in tidal level variations due to factors such as the gravitational pull of celestial bodies can be ignored. However, due to the influence of time-varying nonlinear factors such as meteorology, precipitation, and drainage, when using harmonic analysis to detect and forecast tidal levels, it is easy to cause poor accuracy in tidal level monitoring and forecasting within the region if the influence of these time-varying nonlinear factors is not determined. Therefore, in order to address the above problems, an intelligent tidal level forecasting and monitoring device and its working method are proposed. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent tidal level forecasting and monitoring device and its working method to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] A smart tidal level forecasting and monitoring device includes a positioning buoy, a tidal level monitoring base, a silt monitoring module, a time-varying factor information acquisition module, and a signal processing base station. Both the positioning buoy and the time-varying factor information acquisition module transmit data wirelessly to the signal processing base station, enabling the base station to centrally receive and process tidal level data and time-varying factor data. Both the positioning buoy and the silt monitoring module are connected to the tidal level monitoring base via connecting cables. The bottom of the tidal level monitoring base is connected to a sinking anchor point via an anchor chain, allowing the base to sink underwater. The inner side of the positioning buoy is equipped with a wireless positioning antenna and a data control chip. The wireless positioning antenna is used for GPS positioning of the buoy, and the data control chip is used for control. The inner side of the tidal level monitoring base is equipped with a pressure water level monitoring sensor and a data integration unit. The system monitors tidal water levels. The data integration unit controls and collects data from the silt monitoring module. A level gauge is located inside the silt monitoring module to detect its current level. A center-of-gravity adjustment ring surrounds the module, with a solid weight inside. A motor drive mechanism on one side of the ring adjusts the position of the weight, thus changing the center of gravity of the silt monitoring module. A silt floating layer airbag is located at the bottom of the module to position it on the upper layer of bottom silt. The time-varying factor information acquisition module includes rainfall, meteorological, and groundwater level information acquisition mechanisms. These mechanisms collect rainfall, meteorological, and groundwater level information at the current location and transmit it wirelessly to a signal processing base station.

[0008] Furthermore, a counterweight is provided on the outside of the silt floating layer airbag for the settling of the silt monitoring module.

[0009] Furthermore, a connecting pipe is provided between the silt floating layer airbags to facilitate the flow of gas in each silt floating layer airbag. A component metering valve is provided on the inner side of the connecting pipe, and the component metering valve corresponds to the silt floating layer airbag to measure the gas in each silt floating layer airbag.

[0010] Furthermore, the rainfall factor information collection mechanism includes a tipping bucket rain gauge, the meteorological factor information collection mechanism includes a wind speed and direction monitor, and the groundwater level information collection mechanism includes an immersion-type groundwater level and pressure sensor, which are used to convert rainfall, wind speed and direction, and groundwater level information into data signals.

[0011] Furthermore, the time-varying factor information acquisition modules are evenly distributed, and the geographical location of one of the time-varying factor information acquisition modules coincides with the geographical location of the tidal level monitoring base. This time-varying factor information acquisition module is used as a base point, and the tidal level is predicted based on the data differences of the other time-varying factor information acquisition modules.

[0012] Furthermore, a method for using an intelligent tidal level forecasting and monitoring device includes the following steps:

[0013] Step 1: After the tidal level monitoring base is placed, the tidal level is monitored.

[0014] Step 2: After the silt monitoring module is placed, it monitors the underwater ground slope at the current monitoring point and compares the monitored slope with the initial construction slope to determine the impact of silt on tidal water level.

[0015] Step 3: The time-varying factor information acquisition module acquires and collects rainfall, meteorological and groundwater level information at the current location, and uses the time-varying factor information that coincides with the geographical location of the tidal level monitoring base as a benchmark to forecast the tidal level at different locations based on the changes in time-varying factor information at different locations.

[0016] Compared with existing technologies, this invention monitors the slope of underwater artificial structures such as ships, ports, or dikes near the tidal level during tidal level monitoring. Based on the slope, it determines whether a thick layer of silt has formed on the underwater surface. The presence of the silt layer is used to determine the error in the monitored tidal level, thus ensuring the accuracy of tidal level monitoring. Furthermore, by using two monitoring methods—determining the tilt of a leveling instrument at the same height and determining the gas distribution within the silt floating layer airbag of the silt monitoring module at the same slope—the existence of the silt layer can be better identified, thereby better ensuring the accuracy of current tidal level monitoring.

[0017] Compared with existing technologies, this invention, by setting up a time-varying factor information acquisition module at the tidal level monitoring point, determines time-varying factors such as rainfall, weather, and groundwater level. Using this as a base point, multiple time-varying factor information acquisition modules are set up at other locations to detect time-varying factors such as rainfall, weather, and groundwater level at multiple locations. Based on the changes in time-varying factors such as rainfall, weather, and groundwater level, the tidal level at different locations is predicted, reducing the error of tidal level measurement caused by time-varying factors such as rainfall, weather, and groundwater level, and reducing the number of tidal level measurement points required, thus lowering costs. Attached Figure Description

[0018] To more clearly illustrate the technical solution of the present invention, the drawings used in the technical description of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the overall structure of the present invention.

[0020] Figure 2 This is a schematic diagram of the sludge detection module of the present invention.

[0021] In the diagram: 1. Positioning buoy; 2. Tidal level monitoring base; 3. Settlement anchor point; 4. Silt monitoring module; 5. Time-varying factor information acquisition module; 6. Rainfall factor information acquisition mechanism; 7. Meteorological factor information acquisition mechanism; 8. Groundwater level information acquisition mechanism; 9. Signal processing base station; 10. Data control chip; 11. Wireless positioning antenna; 12. Pressure water level monitoring sensor; 13. Data integration unit; 14. Level measuring instrument; 15. Center of gravity adjustment ring; 16. Motor transmission mechanism; 17. Silt floating layer airbag; 18. Counterweight; 19. Connecting pipeline; 20. Component metering valve. Detailed Implementation

[0022] The present invention will be further described below with reference to specific embodiments. Based on the specific embodiments of the present invention, all other specific embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] Example 1

[0024] Please see Figure 1-2This invention provides an intelligent tidal level forecasting and monitoring device, comprising a positioning buoy 1, a tidal level monitoring base 2, a silt monitoring module 4, a time-varying factor information acquisition module 5, and a signal processing base station 9. Both the positioning buoy 1 and the time-varying factor information acquisition module 5 transmit data wirelessly to the signal processing base station 9, enabling the signal processing base station 9 to centrally receive and process tidal level data and time-varying factor data. Both the positioning buoy 1 and the silt monitoring module 4 are connected to the tidal level monitoring base 2 via connecting cables. The bottom of the tidal level monitoring base 2 is connected to a settling anchor point 3 via an anchor chain, allowing the tidal level monitoring base 2 to sink underwater. The inner side of the positioning buoy 1 is equipped with a wireless positioning antenna 11 and a data control chip 10. The wireless positioning antenna 11 is used for GPS positioning of the positioning buoy 1, and the data control chip 10 is used for control. The inner side of the tidal level monitoring base 2 is equipped with a pressure water level monitoring sensor 12 and a data integration unit 13. The position monitoring sensor 12 monitors the tidal water level. The data integration unit 13 controls the silt monitoring module 4 and collects data. The silt monitoring module 4 is equipped with a level measuring instrument 14 inside to detect the current level status of the silt monitoring module 4. The silt monitoring module 4 is equipped with a center of gravity adjustment ring 15 around its periphery. A solid weight is provided inside the center of gravity adjustment ring 15. A motor transmission mechanism 16 is provided on one side of the center of gravity adjustment ring 15 to change the position of the solid weight, thereby changing the center of gravity of the silt monitoring module 14. The bottom of the silt monitoring module 4 is equipped with a silt floating layer airbag 17 to place the silt monitoring module 14 on the upper layer of the bottom silt. The time-varying factor information acquisition module 5 includes a rainfall factor information acquisition mechanism 6, a meteorological factor information acquisition mechanism 7, and a groundwater level information acquisition mechanism 8, which are used to collect rainfall information, meteorological information, and groundwater level information at the current location and transmit them to the signal processing base station 9 via wireless signal.

[0025] Specifically, a counterweight 18 is provided on the outside of the silt floating layer airbag 17 for the settling of the silt monitoring module 4.

[0026] Specifically, a connecting pipe 19 is provided between the silt floating layer airbags 17 to facilitate the flow of gas in each silt floating layer airbag 17. A component metering valve 20 is provided on the inner side of the connecting pipe 19, and the component metering valve 20 corresponds to the silt floating layer airbag 17 to measure the gas in each silt floating layer airbag 17.

[0027] By adopting the above technical solution: In the process of tidal level monitoring, the slope of underwater artificial structures such as ships, ports, or dikes near the tidal level is monitored. Based on the slope, it is determined whether a thick layer of silt has formed on the underwater ground. Based on the presence of the silt layer, the error of the monitored tidal level is determined, thereby ensuring the accuracy of tidal level monitoring. Furthermore, by using two monitoring methods—determining the tilt of the level measuring instrument at the same height and determining the gas distribution in the silt floating layer airbag 17 of the silt monitoring module 4 at the same slope—the presence of the silt layer can be better determined, thereby better ensuring the accuracy of the current tidal level monitoring.

[0028] It should be noted that the intelligent tidal level forecasting and monitoring device and its working method provided by the present invention include the following steps: First, the tidal level monitoring base 2 is sunk below the water surface under the gravity of the settling anchor point 3. The pressure water level monitoring sensor 12 monitors the tidal level and transmits the data to the signal processing base station 9 via wireless signal. During the tidal level monitoring process, the silt monitoring module 4 is lowered so that it is located on the underwater bottom surface. Through the silt floating layer airbag 17, it adheres to the underwater bottom surface. At this time, the silt monitoring module 4 will have the same slope as the bottom surface. The level measuring instrument 14 measures the slope, and the data integration unit 13 performs multi-level data processing. The measurement data from the level measuring instrument 14 in the silt monitoring module 4 are collected and the current underwater bottom slope is determined based on the fluctuation range of different measurement data. This slope is compared with the initial slope of the artificial ground. If the measured slope is significantly smaller than the initial slope, the water flow will carry silt and other materials to cover the artificial ground. Under the impact of the water flow, the surface of the silt layer will become smoother, resulting in a slope different from the initial slope. The accumulation of the silt layer will affect the tidal water level. The above results are transmitted to the signal processing base station 9 via wireless signal. The signal processing base station 9 determines whether the current pressure water level monitoring sensor 12 is accurate in monitoring the tidal water level based on the slope comparison results.

[0029] Example 2

[0030] The parts that are the same as those in Example 1 will not be repeated here. The difference lies in the working process of a smart tidal level forecasting and monitoring device.

[0031] It should be noted that the working method of the intelligent tidal level forecasting and monitoring device provided by the present invention includes the following steps: After the silt monitoring module 4 reaches the bottom of the water, the electric transmission mechanism 16 is activated to drive different center of gravity adjustment rings 15 to rotate. During this process, the positions of the solid weight blocks in the center of gravity adjustment rings 15 are irregularly distributed to adjust the center of gravity of the silt monitoring module 4. Meanwhile, the level measuring instrument 14 detects the levelness of the silt monitoring module 4 until the slope of the silt monitoring module 4 is the same as the initial slope of the artificial ground. Under the gravity of the counterweight 18, the silt monitoring module 4 is adjusted, which compresses the corresponding silt floating layer airbag 17, causing the gas inside to be dispersed to the inside of the remaining silt floating layer airbags 17 through the connecting pipe 19. During this process, the component metering valve 20 detects the flow rate of the gas. By determining the flow status of the gas in different silt floating layer airbags 17, the current gas content in different silt floating layer airbags 17 can be calculated, and the slope change of the silt layer can be determined according to the proportion of gas content in different silt floating layer airbags 17.

[0032] Example 3

[0033] Please see Figure 1-2This invention provides an intelligent tidal level forecasting and monitoring device, comprising a positioning buoy 1, a tidal level monitoring base 2, a silt monitoring module 4, a time-varying factor information acquisition module 5, and a signal processing base station 9. Both the positioning buoy 1 and the time-varying factor information acquisition module 5 transmit data wirelessly to the signal processing base station 9, enabling the signal processing base station 9 to centrally receive and process tidal level data and time-varying factor data. Both the positioning buoy 1 and the silt monitoring module 4 are connected to the tidal level monitoring base 2 via connecting cables. The bottom of the tidal level monitoring base 2 is connected to a settling anchor point 3 via an anchor chain, allowing the tidal level monitoring base 2 to sink underwater. The inner side of the positioning buoy 1 is equipped with a wireless positioning antenna 11 and a data control chip 10. The wireless positioning antenna 11 is used for GPS positioning of the positioning buoy 1, and the data control chip 10 is used for control. The inner side of the tidal level monitoring base 2 is equipped with a pressure water level monitoring sensor 12 and a data integration unit 13. The position monitoring sensor 12 monitors the tidal water level. The data integration unit 13 controls the silt monitoring module 4 and collects data. The silt monitoring module 4 is equipped with a level measuring instrument 14 inside to detect the current level status of the silt monitoring module 4. The silt monitoring module 4 is equipped with a center of gravity adjustment ring 15 around its periphery. A solid weight is provided inside the center of gravity adjustment ring 15. A motor transmission mechanism 16 is provided on one side of the center of gravity adjustment ring 15 to change the position of the solid weight, thereby changing the center of gravity of the silt monitoring module 14. The bottom of the silt monitoring module 4 is equipped with a silt floating layer airbag 17 to place the silt monitoring module 14 on the upper layer of the bottom silt. The time-varying factor information acquisition module 5 includes a rainfall factor information acquisition mechanism 6, a meteorological factor information acquisition mechanism 7, and a groundwater level information acquisition mechanism 8, which are used to collect rainfall information, meteorological information, and groundwater level information at the current location and transmit them to the signal processing base station 9 via wireless signal.

[0034] Specifically, the rainfall factor information collection unit 6 includes a tipping bucket rain gauge, the meteorological factor information collection unit 7 includes a wind speed and direction monitor, and the groundwater level information collection unit 8 includes an immersion groundwater level and pressure sensor, which are used to convert rainfall, wind speed and direction and groundwater level information into data signals.

[0035] Specifically, the time-varying factor information acquisition modules 5 are evenly distributed, and the geographical location of one time-varying factor information acquisition module 5 coincides with the geographical location of the tidal level monitoring base 2. This time-varying factor information acquisition module 5 is used as the base point, and the tidal level is predicted based on the data difference of the other time-varying factor information acquisition modules 5.

[0036] By adopting the above technical solution: In this invention, by setting up a time-varying factor information acquisition module 5 at the tidal level monitoring point, time-varying factors such as rainfall, weather, and groundwater level are determined. Based on this, multiple time-varying factor information acquisition modules 5 are set up at other locations to detect time-varying factors such as rainfall, weather, and groundwater level at multiple locations. Based on the changes in time-varying factors such as rainfall, weather, and groundwater level, the tidal level at different locations is predicted, reducing the error of tidal level measurement caused by time-varying factors such as rainfall, weather, and groundwater level, and reducing the number of tidal level measurement points, thus lowering costs.

[0037] It should be noted that the working method of the intelligent tidal level forecasting and monitoring device provided by the present invention includes the following steps: When monitoring the tidal level, the rainfall factor information collection mechanism 6, meteorological factor information collection mechanism 7, and groundwater level information collection mechanism 8 in the time-varying factor information acquisition module 5 respectively collect the rainfall information, meteorological information, and groundwater level information of the current monitoring point, and transmit the above information to the signal processing base station 9 through wireless signals. This information is set as the base point information. By setting the time-varying factor information acquisition module 5 at multiple locations, the time-varying factor information at different locations is collected and the information is transmitted to the signal processing base station 9. The increase in rainfall will cause the tidal level to increase, the change in meteorology will cause the fluctuation of the tidal level to increase, and the difference in groundwater level will cause the adjacent water source to replenish and balance, resulting in the tidal level to decrease. Based on the changes between such information and the base point information, the tidal level is forecasted.

[0038] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. For those skilled in the art, any equivalent substitutions or modifications made to the technical solutions and inventive concepts of the present invention within the scope of the technology disclosed in the present invention should be considered as within the scope of protection of the present invention.

Claims

1. A smart tidal level forecasting and monitoring device, comprising a positioning buoy, a tidal level monitoring base, a silt monitoring module, a time-varying factor information acquisition module, and a signal processing base station, characterized in that: Both the positioning buoy and the time-varying factor information acquisition module transmit data wirelessly to the signal processing base station. Both the positioning buoy and the silt monitoring module are connected to the tidal level monitoring base via connecting cables. The bottom of the tidal level monitoring base is connected to a settling anchor point via an anchor chain. The inner side of the positioning buoy is equipped with a wireless positioning antenna and a data control chip. The inner side of the tidal level monitoring base is equipped with a pressure water level monitoring sensor and a data integration unit. The data integration unit is used to control the silt monitoring module and collect data. The inner side of the silt monitoring module is equipped with a level gauge. A center-of-gravity adjustment ring is located around the silt monitoring module. A solid weight is located inside the center-of-gravity adjustment ring. A motor drive mechanism is located on one side of the center-of-gravity adjustment ring. The bottom of the silt monitoring module is equipped with a silt floating layer airbag. The time-varying factor information acquisition module includes a rainfall factor information acquisition mechanism, a meteorological factor information acquisition mechanism, and a groundwater level information acquisition mechanism. It is used to collect rainfall, meteorological, and groundwater level information at the current location and transmit it wirelessly to the signal processing base station. A connecting pipe is provided between the silt floating layer airbags, and a component metering valve is provided on the inner side of the connecting pipe, and the component metering valve corresponds to the silt floating layer airbag; the time-varying factor information acquisition modules are evenly distributed, and the geographical location of one of the time-varying factor information acquisition modules coincides with the geographical location of the tidal water level monitoring base.

2. The intelligent tidal level forecasting and monitoring device according to claim 1, characterized in that: The outer side of the silt floating layer airbag is equipped with a counterweight.

3. The intelligent tidal level forecasting and monitoring device according to claim 1, characterized in that: The rainfall factor information collection mechanism includes a tipping bucket rain gauge, the meteorological factor information collection mechanism includes a wind speed and direction monitor, and the groundwater level information collection mechanism includes an immersion-type groundwater level and pressure sensor, which are used to convert rainfall, wind speed and direction, and groundwater level information into data signals.

4. The method of using the intelligent tidal level forecasting and monitoring device according to claim 1, characterized in that, Includes the following steps: Step 1: After the tidal level monitoring base is placed, the tidal level is monitored. Step 2: After the silt monitoring module is placed, the underwater ground slope at the current monitoring point is monitored, and the slope after monitoring is compared with the initial slope to determine the impact of silt on the tidal level. Step 3: The time-varying factor information acquisition module acquires and collects rainfall, meteorological, and groundwater level information at the current location, and uses the time-varying factor information that overlaps with the geographical location of the tidal level monitoring base as a benchmark to forecast the tidal level at different locations based on the changes in time-varying factor information at different locations.

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