An offshore construction safety monitoring system based on the Internet of Things

Abstract

The present invention relates to the technical field of construction safety monitoring, and in particular to an offshore construction safety monitoring system based on the Internet of Things, the system comprising a data acquisition module, which is used to acquire construction sea area data and floating platform data; a risk determination module, which is connected to the data acquisition module, and is used to determine the perception mode of offshore construction safety monitoring based on the complexity evaluation value of underwater currents in the construction sea area, and determine the risk level under the corresponding perception mode; a data adjustment module, which is connected to the risk determination module, and is used to adjust the amount of monitoring data acquired under the corresponding perception mode based on the climate evaluation value of the construction sea area; a data optimization module, which is connected to the data adjustment module, and is used to determine the adjustment mode of offshore construction safety monitoring based on the historical earthquake data evaluation value of the construction sea area, and determine the adjusted risk level under the corresponding adjustment mode. The present invention improves the accuracy and precision of offshore construction safety monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of construction safety monitoring, and in particular to an offshore construction safety monitoring system based on the Internet of Things. Background Art

[0002] With the continuous development of marine resources and the increase in offshore engineering projects, offshore construction safety has become an increasingly important issue. Traditional offshore construction safety monitoring methods often rely on manual inspections and regular testing, which have problems such as strong subjectivity, low timeliness, and discontinuous data, making it difficult to discover and resolve potential safety hazards in a timely manner. The rapid development of Internet of Things technology has provided new solutions for offshore construction safety monitoring.

[0003] Chinese patent application publication number: CN116668639A discloses a construction safety monitoring system based on the Internet of Things, including a construction area acquisition module, a monitoring mode selection module, a construction site image acquisition module, a personnel information acquisition module, an equipment information acquisition module, a vehicle information acquisition module, a data processing module and an information sending module; the construction area information acquisition module is used to collect construction area information, the monitoring mode selection module is used to select a monitoring mode according to the construction area information, and the monitoring mode includes a first monitoring mode, a second monitoring mode and a third monitoring mode; the construction site image acquisition module, the personnel information acquisition module, the equipment information acquisition module, the vehicle information acquisition module and the construction site environment acquisition module are used to collect data in the selected monitoring mode to obtain construction site image data, construction site personnel information, construction site equipment information and construction site vehicle information. However, the prior art has the following problems: the prior art has low efficiency in offshore construction safety monitoring, which leads to low accuracy and precision of offshore construction safety monitoring. Summary of the invention

[0004] To this end, the present invention provides an offshore construction safety monitoring system based on the Internet of Things to overcome the problems in the prior art.

[0005] To achieve the above object, the present invention provides an offshore construction safety monitoring system based on the Internet of Things, comprising:

[0006] A data acquisition module, which is used to acquire construction sea area data and floating platform data, including a gyroscope arranged at the bottom of the floating platform to detect the stability of the floating platform, a current meter arranged at the plane of the construction sea area to detect ocean current information in the construction sea area, a vibration sensor arranged underground in the construction sea area near the bottom of the floating platform to detect stratum vibration information, a temperature sensor arranged on the floating platform to detect temperature information, a wind speed sensor arranged on the floating platform to detect wind speed information, and a rain gauge arranged on the floating platform to detect precipitation information;

[0007] a risk determination module connected to the data acquisition module, for determining the perception mode of offshore construction safety monitoring according to the complexity evaluation value of the underwater current in the construction sea area, and determining the risk degree under the corresponding perception mode, based on the condition that the data acquisition module acquires the construction sea area data and the floating platform data, and determining the risk degree under the corresponding perception mode, wherein the perception mode includes sensing the stability of the floating platform or sensing the stability of the floating platform and monitoring the regularity of formation vibration;

[0008] A data adjustment module, which is connected to the risk determination module and is used to increase the amount of monitoring data obtained in the corresponding perception mode by a preset period adjustment coefficient according to the climate evaluation value of the construction sea area under the condition of the corresponding perception mode;

[0009] A data optimization module is connected to the data adjustment module and is used to determine the adjustment method of offshore construction safety monitoring based on the historical seismic data evaluation value of the construction sea area under the condition of the corresponding perception mode, and determine the adjusted risk level under the corresponding adjustment method. The adjustment method includes increasing the regularity monitoring of ocean currents, increasing the accuracy of regularity monitoring of formation vibrations, or reducing the preset complexity evaluation value.

[0010] Furthermore, under the condition that the data acquisition module obtains the construction sea area data and the floating platform data, the risk determination module determines the mode of perceiving the stability of the floating platform for offshore construction safety monitoring based on the comparison result that the complexity evaluation value of the underwater current in the construction sea area is less than or equal to a preset complexity evaluation value, and determines the first risk level based on the floating platform stability data.

[0011] Furthermore, under the condition that the data acquisition module obtains the construction sea area data and the floating platform data, the risk determination module determines the mode of perceiving the stability of the floating platform and monitoring the regularity of formation vibration for offshore construction safety monitoring based on the comparison result that the complexity evaluation value is greater than the preset complexity evaluation value, and determines the second risk level based on the floating platform stability data and the formation vibration regularity data.

[0012] Furthermore, under the condition of determining the corresponding perception mode, the data adjustment module determines to increase the amount of monitoring data obtained in the corresponding perception mode by the first preset period adjustment coefficient based on the comparison result that the climate evaluation value of the construction sea area is less than or equal to the preset climate evaluation value.

[0013] Furthermore, under the condition of determining the corresponding perception mode, the data adjustment module determines to increase the amount of monitoring data obtained in the corresponding perception mode by a second preset period adjustment coefficient based on the comparison result that the climate evaluation value of the construction sea area is greater than the preset climate evaluation value.

[0014] Furthermore, under the condition of determining the corresponding perception mode, the data optimization module determines to adjust the ocean current regularity monitoring based on the comparison result that the historical seismic data evaluation value of the construction sea area is less than or equal to the first preset historical seismic data evaluation value, and determines to increase the ocean current regularity monitoring with the ocean current regularity adjustment coefficient based on the comparison result that the difference between the historical seismic data evaluation value and the first preset historical seismic data evaluation value is less than or equal to the preset difference. The ocean current regularity adjustment coefficient is determined based on the difference between the first preset historical seismic data evaluation value and the historical seismic data evaluation value and the preset difference.

[0015] Furthermore, under the condition of determining the corresponding perception mode, the data adjustment module determines to adjust the formation vibration regularity monitoring accuracy based on the comparison result that the historical seismic data evaluation value of the construction sea area is greater than the first preset historical seismic data evaluation value and less than or equal to the second preset historical seismic data evaluation value, and determines to increase the formation vibration regularity monitoring accuracy with a formation vibration adjustment coefficient based on the comparison result that the relative difference between the historical seismic data evaluation value and the second preset historical seismic data evaluation value is less than or equal to the preset relative difference. The formation vibration adjustment coefficient is determined based on the difference between the relative difference between the historical seismic data evaluation value and the first preset historical seismic data evaluation value and the preset relative difference.

[0016] Furthermore, under the condition of determining the corresponding perception mode, the data adjustment module determines to adjust the preset complexity evaluation value based on the comparison result that the historical seismic data evaluation value of the construction sea area is greater than the second preset historical seismic data evaluation value, and determines to reduce the preset complexity evaluation value by the first preset reduction adjustment coefficient based on the comparison result that the ratio of the historical seismic data evaluation value to the second preset historical seismic data evaluation value is less than or equal to the preset ratio.

[0017] Furthermore, under the condition of determining the corresponding perception mode, the data adjustment module determines to adjust the preset complexity evaluation value based on the comparison result that the historical seismic data evaluation value of the construction sea area is greater than the second preset historical seismic data evaluation value, and determines to reduce the preset complexity evaluation value by the second preset reduction adjustment coefficient based on the comparison result that the ratio of the historical seismic data evaluation value to the second preset historical seismic data evaluation value is greater than the preset ratio.

[0018] Furthermore, the data adjustment module determines a corresponding adjusted risk level based on the monitoring data obtained under the corresponding adjustment mode under the condition of determining the corresponding adjustment mode, and the adjusted risk level includes a first adjusted risk level, a second adjusted risk level and a third adjusted risk level.

[0019] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention determines the perception mode of offshore construction safety monitoring through the complexity evaluation value of underwater currents in the construction sea area, adjusts the amount of monitoring data obtained under the corresponding perception mode based on the climate evaluation value of the construction sea area, and determines the adjustment method of offshore construction safety monitoring based on the historical earthquake data evaluation value of the construction sea area, thereby realizing real-time monitoring and risk assessment of the construction sea area and floating platform, effectively improving the safety and efficiency of offshore construction, and thus improving the accuracy and precision of offshore construction safety monitoring.

[0020] Furthermore, the present invention selects a perception mode for offshore construction safety monitoring through a risk determination module based on a comparison between the complexity evaluation value of underwater currents in the construction sea area and a preset complexity evaluation value, and evaluates the risk level based on monitoring data under different perception modes, thereby ensuring that more comprehensive monitoring measures are taken in complex environments, thereby effectively improving the accuracy of offshore construction safety monitoring.

[0021] Furthermore, the present invention adjusts the frequency of acquiring the monitoring data volume according to the comparison result between the climate evaluation value of the construction sea area and the preset climate evaluation value through the data adjustment module. This adjustment strategy can ensure that the amount of monitoring data is increased under severe climatic conditions so as to more accurately grasp the real-time situation of the construction sea area, provide timely and effective data support for offshore construction, enhance construction safety monitoring, and thus improve the accuracy of offshore construction safety monitoring.

[0022] Furthermore, the present invention uses a data optimization module to adjust the focus and accuracy of offshore construction safety monitoring according to the comparison results of the historical seismic data evaluation values ​​of the construction sea area and the preset historical seismic data evaluation values, and adjusts the monitoring measures in a targeted manner to more effectively ensure the safety of offshore construction, thereby improving the accuracy of offshore construction safety monitoring.

[0023] Furthermore, specifically, the present invention uses a data optimization module to adjust the ocean current and formation vibration monitoring accuracy and preset complexity evaluation value according to historical seismic data, and sets different adjustment coefficients to adapt to different risk levels. This adjustment strategy can optimize the configuration of monitoring resources and improve monitoring efficiency according to the characteristics of historical seismic activities, thereby improving the accuracy and precision of offshore construction safety monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a module connection diagram of an offshore construction safety monitoring system based on the Internet of Things according to an embodiment of the present invention;

[0025] Figure 2 A flowchart for determining a sensing mode for offshore construction safety monitoring according to an embodiment of the present invention;

[0026] Figure 3A flowchart for determining and adjusting the amount of monitoring data obtained in a corresponding perception mode according to an embodiment of the present invention;

[0027] Figure 4 The present invention provides a flowchart for determining a method for reducing a preset complexity evaluation value. DETAILED DESCRIPTION

[0028] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0029] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0030] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0031] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0032] See also Figure 1-Figure 4 As shown, Figure 1 This is a module connection diagram of an offshore construction safety monitoring system based on the Internet of Things according to an embodiment of the present invention; Figure 2 A flowchart for determining a sensing mode for offshore construction safety monitoring according to an embodiment of the present invention; Figure 3 A flowchart for determining and adjusting the amount of monitoring data obtained in a corresponding perception mode according to an embodiment of the present invention; Figure 4 The present invention provides a flowchart for determining a method for reducing a preset complexity evaluation value.

[0033] The embodiment of the present invention is used for an offshore construction safety monitoring system based on the Internet of Things, including:

[0034] A data acquisition module, which is used to acquire construction sea area data and floating platform data, including a gyroscope arranged at the bottom of the floating platform to detect the stability of the floating platform, a current meter arranged at the plane of the construction sea area to detect ocean current information in the construction sea area, a vibration sensor arranged underground in the construction sea area near the bottom of the floating platform to detect stratum vibration information, a temperature sensor arranged on the floating platform to detect temperature information, a wind speed sensor arranged on the floating platform to detect wind speed information, and a rain gauge arranged on the floating platform to detect precipitation information;

[0035] A risk determination module, which is connected to the data acquisition module, is used to determine the perception mode of offshore construction safety monitoring based on the complexity evaluation value of the underwater current in the construction sea area, and determine the risk level under the corresponding perception mode;

[0036] A data adjustment module, which is connected to the risk determination module and is used to adjust the amount of monitoring data obtained in the corresponding perception mode based on the climate evaluation value of the construction sea area;

[0037] The data optimization module is connected to the data adjustment module and is used to determine the adjustment method of offshore construction safety monitoring based on the historical seismic data evaluation value of the construction sea area, and determine the corresponding adjusted risk level under the corresponding adjustment method.

[0038] In the embodiment of the present invention, the current meter is an acoustic Doppler current profiler, which is not specifically limited and only needs to be able to measure ocean current information.

[0039] Specifically, the present invention determines the perception mode of offshore construction safety monitoring through the evaluation value of the complexity of underwater currents in the construction sea area, adjusts the amount of monitoring data obtained under the corresponding perception mode based on the climate evaluation value of the construction sea area, and determines the adjustment method of offshore construction safety monitoring based on the evaluation value of historical earthquake data in the construction sea area, thereby realizing real-time monitoring and risk assessment of the construction sea area and floating platform, effectively improving the safety and efficiency of offshore construction, and thus improving the accuracy and precision of offshore construction safety monitoring.

[0040] Specifically, the risk determination module determines the perception mode of offshore construction safety monitoring according to the comparison result between the complexity evaluation value of the underwater current in the construction sea area and the preset complexity evaluation value of 0.86, under the condition that the data acquisition module acquires the construction sea area data and the floating platform data;

[0041] If the complexity evaluation value is less than or equal to the preset complexity evaluation value, determining the first perception mode;

[0042] If the complexity evaluation value is greater than the preset complexity evaluation value, determining the second perception mode;

[0043] The first sensing mode is to sense the stability of the floating platform, and the second sensing mode is to sense the stability of the floating platform and monitor the regularity of formation vibration.

[0044] In the embodiment of the present invention, the preset complexity evaluation value is 0.86, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0045] Specifically, the risk determination module calculates the complexity evaluation value according to the following formula, setting: ;

[0046] Among them, P represents the complexity evaluation value, S represents the average value of the ocean current speed in the construction sea area within the preset time period of 48 hours, Smax represents the maximum value of the ocean current speed in the construction sea area within the preset time period, Smin represents the minimum value of the ocean current speed in the construction sea area within the preset time period, D represents the average value of the rate of change of the ocean current direction in the construction sea area within the preset time period, Dmax represents the maximum value of the rate of change of the ocean current direction in the construction sea area within the preset time period, and Dmin represents the minimum value of the rate of change of the ocean current direction in the construction sea area within the preset time period.

[0047] In the embodiment of the present invention, the ocean current velocity in the construction sea area and the rate of change of the ocean current direction in the construction sea area are measured by a current meter.

[0048] Specifically, the risk determination module determines the risk level based on the monitoring data obtained under the corresponding perception mode under the condition of determining the corresponding perception mode. The risk level includes a first risk level and a second risk level. The monitoring data are floating platform stability data and formation vibration regularity data.

[0049] Specifically, the present invention selects a perception mode for offshore construction safety monitoring through a risk determination module based on a comparison between the complexity evaluation value of underwater currents in the construction sea area and a preset complexity evaluation value, and evaluates the risk level based on monitoring data under different perception modes, thereby ensuring that more comprehensive monitoring measures are taken in complex environments, thereby effectively improving the accuracy of offshore construction safety monitoring.

[0050] Specifically, the data adjustment module determines to adjust the amount of monitoring data obtained in the corresponding perception mode according to the comparison result between the climate evaluation value of the construction sea area and the preset climate evaluation value of 0.82 under the condition of determining the corresponding perception mode;

[0051] If the climate evaluation value is less than or equal to the preset climate evaluation value, it is determined to increase the amount of monitoring data acquired in the corresponding sensing mode to a corresponding value by a first preset period adjustment coefficient of 1.04;

[0052] If the climate evaluation value is greater than the preset climate evaluation value, it is determined that the amount of monitoring data obtained in the corresponding perception mode is increased to a corresponding value using a second preset period adjustment coefficient of 1.07.

[0053] In the embodiment of the present invention, the preset climate evaluation value is 0.82, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0054] In an embodiment of the present invention, the increased amount of monitoring data is set to Mz, and Mz=M×Ki is set, where M represents the amount of monitoring data, Ki represents the i-th preset period adjustment coefficient, the value of i is 1 or 2, K1 represents the first preset period adjustment coefficient, and K2 represents the second preset period adjustment coefficient.

[0055] Specifically, the data adjustment module calculates the climate evaluation value according to the following formula: ;

[0056] Among them, Q represents the climate evaluation value, T represents the average temperature of the construction sea area within the preset time period of 48 hours, Tmax represents the maximum temperature of the construction sea area within the preset time period, Tmin represents the minimum temperature of the construction sea area within the preset time period, V represents the average wind speed in the construction sea area within the preset time period, Vmax represents the maximum wind speed in the construction sea area within the preset time period, Vmin represents the minimum wind speed in the construction sea area within the preset time period, and H represents the average precipitation in the construction sea area within the preset time period.

[0057] Specifically, the present invention adjusts the frequency of acquiring the monitoring data volume according to the comparison result between the climate evaluation value of the construction sea area and the preset climate evaluation value through the data adjustment module. This adjustment strategy can ensure that the amount of monitoring data is increased under severe climatic conditions so as to more accurately grasp the real-time situation of the construction sea area, provide timely and effective data support for offshore construction, enhance construction safety monitoring, and thus improve the accuracy of offshore construction safety monitoring.

[0058] Specifically, the data optimization module determines the adjustment method of offshore construction safety monitoring based on the comparison result of the historical seismic data evaluation value of the construction sea area and the preset historical seismic data evaluation value under the condition of determining the corresponding perception mode;

[0059] If the historical seismic data evaluation value is less than or equal to the first preset historical seismic data evaluation value of 0.83, then it is determined to adjust the ocean current regularity monitoring;

[0060] If the historical seismic data evaluation value is greater than the first preset historical seismic data evaluation value and less than or equal to the second preset historical seismic data evaluation value of 0.79, then it is determined to adjust the formation vibration regularity monitoring accuracy;

[0061] If the historical earthquake data evaluation value is greater than a second preset historical earthquake data evaluation value, it is determined to adjust the preset complexity evaluation value.

[0062] Specifically, the data optimization module calculates the historical earthquake data evaluation value according to the following formula, setting: ;

[0063] Wherein, W represents the evaluation value of historical earthquake data, n represents the total number of earthquakes in the construction sea area within a preset time period of one month, and Mi represents the magnitude of the i-th earthquake in the construction sea area.

[0064] In the embodiment of the present invention, the magnitude refers to the energy released when an earthquake occurs in the construction sea area.

[0065] Specifically, the present invention uses a data optimization module to adjust the focus and accuracy of offshore construction safety monitoring according to the comparison results of the historical seismic data evaluation value of the construction sea area with the preset historical seismic data evaluation value, and adjusts the monitoring measures in a targeted manner to more effectively ensure the safety of offshore construction, thereby improving the accuracy of offshore construction safety monitoring.

[0066] Specifically, the data optimization module determines to increase the monitoring of ocean current regularity based on the comparison result of the difference between the first preset historical seismic data evaluation value and the historical seismic data evaluation value and the preset difference value of 0.35 under the condition of determining to adjust the monitoring of ocean current regularity;

[0067] If the difference is less than or equal to the preset difference, it is determined to increase the ocean current regularity monitoring by the ocean current regularity adjustment coefficient T1;

[0068] If the difference is greater than the preset difference, it is determined that no additional ocean current regularity monitoring is required;

[0069] The difference is the difference between the first preset historical earthquake data evaluation value and the historical earthquake data evaluation value.

[0070] In the embodiment of the present invention, the preset difference value is 0.35, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0071] Specifically, the data optimization module determines the ocean current regulation coefficient T1 according to the difference between the first preset historical earthquake data evaluation value and the historical earthquake data evaluation value and the preset difference.

[0072] In the embodiment of the present invention, the increased ocean current regularity monitoring is set to Yz, and Yz=Y×T1 is set, wherein Y represents ocean current regularity monitoring, and T1 represents ocean current regularity adjustment coefficient.

[0073] Specifically, the data optimization module calculates the ocean current regulation coefficient according to the following formula, setting: ;

[0074] Among them, T1 represents the ocean current regulation coefficient, ΔW represents the difference between the historical earthquake data evaluation value and the first preset historical earthquake data evaluation value, and ΔW0 represents the preset difference.

[0075] Specifically, the data optimization module determines to increase the formation vibration regularity monitoring accuracy based on the comparison result of the relative difference between the historical seismic data evaluation value and the first preset historical seismic data evaluation value and the preset relative difference of 0.27 under the condition of determining to adjust the formation vibration regularity monitoring accuracy;

[0076] If the relative difference is less than or equal to the preset relative difference, it is determined to increase the formation vibration adjustment coefficient to a corresponding value by the formation vibration adjustment coefficient R1;

[0077] If the relative difference is greater than the preset relative difference, determining not to increase the formation vibration regularity monitoring accuracy;

[0078] The relative difference is the relative difference between the historical earthquake data evaluation value and the first preset historical earthquake data evaluation value.

[0079] In the embodiment of the present invention, the preset relative difference value is 0.27, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0080] Specifically, the data optimization module determines the formation vibration adjustment coefficient R1 according to the difference between the relative difference between the historical seismic data evaluation value and the first preset historical seismic data evaluation value and the preset relative difference.

[0081] In the embodiment of the present invention, the increased formation vibration regularity monitoring accuracy is set to Nz, and Nz=N×R1 is set, wherein N represents the formation vibration regularity monitoring accuracy, and R1 represents the formation vibration adjustment coefficient.

[0082] Specifically, the data optimization module calculates the formation vibration adjustment coefficient according to the following formula and sets: ;

[0083] Wherein, R1 represents the formation vibration adjustment coefficient, ΔW1 represents the relative difference between the historical seismic data evaluation value and the first preset historical seismic data evaluation value, and Δμ0 represents the preset relative difference.

[0084] Specifically, the data optimization module determines to reduce the preset complexity evaluation value based on the comparison result of the ratio of the historical earthquake data evaluation value to the second preset historical earthquake data evaluation value and the preset ratio 1.12 under the condition of determining to adjust the preset complexity evaluation value;

[0085] If the ratio is less than or equal to the preset ratio, determining to reduce the preset complexity evaluation value 0.95 to a corresponding value by a first preset reduction adjustment coefficient;

[0086] If the ratio is greater than the preset ratio, determining to reduce the preset complexity evaluation value 0.91 to a corresponding value by a second preset reduction adjustment coefficient;

[0087] The ratio is the ratio of the historical earthquake data evaluation value to the second preset historical earthquake data evaluation value.

[0088] In the embodiment of the present invention, the preset ratio is 1.12, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0089] In an embodiment of the present invention, the reduced preset complexity evaluation value is P0z, and P0z=P0×Uj is set, wherein P0 represents the preset complexity evaluation value, Uj represents the jth preset reduction adjustment coefficient, the value of j is 1 or 2, U1 represents the first preset reduction adjustment coefficient, and U2 represents the second preset reduction adjustment coefficient.

[0090] Specifically, under the condition of determining the corresponding adjustment method, the data optimization module determines the corresponding adjusted risk level according to the monitoring data obtained under the corresponding adjustment method, and the adjusted risk level includes a first adjusted risk level, a second adjusted risk level and a third adjusted risk level.

[0091] Specifically, the present invention uses a data optimization module to adjust the ocean current and formation vibration monitoring accuracy and preset complexity evaluation values ​​according to historical seismic data, and sets different adjustment coefficients to adapt to different risk levels. This adjustment strategy can optimize the configuration of monitoring resources and improve monitoring efficiency based on the characteristics of historical seismic activities, thereby improving the accuracy and precision of offshore construction safety monitoring.

[0092] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0093] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An offshore construction safety monitoring system based on the Internet of Things, characterized in that: include: A data acquisition module, which is used to acquire construction sea area data and floating platform data, including a gyroscope arranged at the bottom of the floating platform to detect the stability of the floating platform, a current meter arranged at the plane of the construction sea area to detect ocean current information in the construction sea area, a vibration sensor arranged underground in the construction sea area near the bottom of the floating platform to detect stratum vibration information, a temperature sensor arranged on the floating platform to detect temperature information, a wind speed sensor arranged on the floating platform to detect wind speed information, and a rain gauge arranged on the floating platform to detect precipitation information; a risk determination module connected to the data acquisition module, for determining the perception mode of offshore construction safety monitoring according to the complexity evaluation value of the underwater current in the construction sea area, and determining the risk degree under the corresponding perception mode, based on the condition that the data acquisition module acquires the construction sea area data and the floating platform data, and determining the risk degree under the corresponding perception mode, wherein the perception mode includes sensing the stability of the floating platform or sensing the stability of the floating platform and monitoring the regularity of formation vibration; The risk determination module calculates the complexity evaluation value according to the following formula, setting: , Wherein, P represents the complexity evaluation value, S represents the average value of the ocean current speed in the construction sea area within the preset time period of 48 hours, Smax represents the maximum value of the ocean current speed in the construction sea area within the preset time period, Smin represents the minimum value of the ocean current speed in the construction sea area within the preset time period, D represents the average value of the change rate of the ocean current direction in the construction sea area within the preset time period, Dmax represents the maximum value of the change rate of the ocean current direction in the construction sea area within the preset time period, and Dmin represents the minimum value of the change rate of the ocean current direction in the construction sea area within the preset time period; A data adjustment module, which is connected to the risk determination module and is used to increase the amount of monitoring data obtained in the corresponding perception mode by a preset period adjustment coefficient according to the climate evaluation value of the construction sea area under the condition of the corresponding perception mode; A data optimization module is connected to the data adjustment module and is used to determine the adjustment method of offshore construction safety monitoring based on the historical seismic data evaluation value of the construction sea area under the condition of the corresponding perception mode, and determine the adjusted risk level under the corresponding adjustment method. The adjustment method includes increasing the regularity monitoring of ocean currents, increasing the accuracy of regularity monitoring of formation vibrations, or reducing the preset complexity evaluation value.

2. The offshore construction safety monitoring system based on the Internet of Things according to claim 1 is characterized in that: The risk determination module determines the mode of perceiving the stability of the floating platform for offshore construction safety monitoring based on the comparison result that the complexity evaluation value of the underwater current in the construction area is less than or equal to the preset complexity evaluation value, under the condition that the data acquisition module obtains the construction sea area data and the floating platform data, and determines the first risk level based on the floating platform stability data.

3. The offshore construction safety monitoring system based on the Internet of Things according to claim 1 is characterized in that: The risk determination module determines the mode of sensing the stability of the floating platform and monitoring the regularity of formation vibration for offshore construction safety monitoring based on the comparison result that the complexity evaluation value is greater than the preset complexity evaluation value, under the condition that the data acquisition module obtains the construction sea area data and the floating platform data, and determines the second risk level based on the floating platform stability data and the formation vibration regularity data.

4. The offshore construction safety monitoring system based on the Internet of Things according to claim 3 is characterized in that: The data adjustment module determines, under the condition of determining the corresponding perception mode, to increase the amount of monitoring data obtained in the corresponding perception mode by a first preset period adjustment coefficient based on the comparison result that the climate evaluation value of the construction sea area is less than or equal to the preset climate evaluation value.

5. The offshore construction safety monitoring system based on the Internet of Things according to claim 3 is characterized in that: The data adjustment module determines, under the condition of determining the corresponding perception mode, to increase the amount of monitoring data obtained in the corresponding perception mode by a second preset period adjustment coefficient based on the comparison result that the climate evaluation value of the construction sea area is greater than the preset climate evaluation value.

6. The offshore construction safety monitoring system based on the Internet of Things according to claim 3 is characterized in that: Under the condition of determining the corresponding perception mode, the data optimization module determines to adjust the ocean current regularity monitoring based on the comparison result that the historical seismic data evaluation value of the construction sea area is less than or equal to the first preset historical seismic data evaluation value, and determines to increase the ocean current regularity monitoring with the ocean current regularity adjustment coefficient based on the comparison result that the difference between the historical seismic data evaluation value and the first preset historical seismic data evaluation value is less than or equal to the preset difference. The ocean current regularity adjustment coefficient is determined based on the difference between the first preset historical seismic data evaluation value and the historical seismic data evaluation value and the preset difference.

7. The offshore construction safety monitoring system based on the Internet of Things according to claim 3 is characterized in that: Under the condition of determining the corresponding sensing mode, the data adjustment module determines to adjust the formation vibration regularity monitoring accuracy based on the comparison result that the historical seismic data evaluation value of the construction sea area is greater than the first preset historical seismic data evaluation value and less than or equal to the second preset historical seismic data evaluation value, and determines to increase the formation vibration regularity monitoring accuracy with a formation vibration adjustment coefficient based on the comparison result that the relative difference between the historical seismic data evaluation value and the second preset historical seismic data evaluation value is less than or equal to the preset relative difference. The formation vibration adjustment coefficient is determined based on the difference between the relative difference between the historical seismic data evaluation value and the first preset historical seismic data evaluation value and the preset relative difference.

8. The offshore construction safety monitoring system based on the Internet of Things according to claim 3 is characterized in that: Under the condition of determining the corresponding perception mode, the data adjustment module determines to adjust the preset complexity evaluation value based on the comparison result that the historical seismic data evaluation value of the construction sea area is greater than the second preset historical seismic data evaluation value, and determines to reduce the preset complexity evaluation value by the first preset reduction adjustment coefficient based on the comparison result that the ratio of the historical seismic data evaluation value to the second preset historical seismic data evaluation value is less than or equal to the preset ratio.

9. The offshore construction safety monitoring system based on the Internet of Things according to claim 3 is characterized in that: Under the condition of determining the corresponding perception mode, the data adjustment module determines to adjust the preset complexity evaluation value based on the comparison result that the historical seismic data evaluation value of the construction sea area is greater than the second preset historical seismic data evaluation value, and determines to reduce the preset complexity evaluation value by the second preset reduction adjustment coefficient based on the comparison result that the ratio of the historical seismic data evaluation value to the second preset historical seismic data evaluation value is greater than the preset ratio.

10. The offshore construction safety monitoring system based on the Internet of Things according to claim 9 is characterized in that: Under the condition of determining the corresponding adjustment mode, the data adjustment module determines the corresponding adjusted risk level based on the monitoring data obtained under the corresponding adjustment mode, and the adjusted risk level includes a first adjusted risk level, a second adjusted risk level and a third adjusted risk level.

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