Underwater concrete construction environment monitoring and adaptability control system

Abstract

The invention discloses an underwater concrete construction environment monitoring and adaptability control system, and relates to the technical field of underwater concrete construction, and the system comprises an environment monitoring module which is used for collecting underwater environment parameters, including turbidity, temperature, flow velocity, pressure and pH value; the data processing module is used for preprocessing the underwater environment parameters and then calculating an underwater construction environment adaptability index; the construction control module is used for adaptively adjusting concrete construction parameters according to the underwater construction environment adaptability index, and the concrete construction parameters comprise the concrete mixing proportion, the concrete pumping speed and the vibration frequency; the remote monitoring and alarm module is used for receiving the real-time data of the data processing module and the parameter adjustment information of the construction control module and giving an alarm when the parameters reach corresponding alarm threshold values; and the data storage and statistics module is used for receiving all module data and storing the data according to a time sequence. According to the system, the automation level of underwater construction can be remarkably improved, the construction quality is optimized, and the construction safety is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of underwater concrete construction, and in particular to an underwater concrete construction environment monitoring and adaptability control system. Background Art

[0002] Underwater concrete construction is widely used in underwater structures, bridges, submarine tunnels and other projects. However, due to the particularity of the underwater environment, such as changes in environmental factors such as water flow, temperature, pressure, turbidity, etc., the quality and efficiency of concrete construction have a significant impact. Therefore, how to ensure the stability, quality and adaptability of concrete construction in a complex and changing underwater environment has become a major challenge in construction technology. Traditional underwater concrete construction methods usually rely on manual experience or set fixed construction parameters. However, this approach cannot respond to changes in the underwater environment in real time, resulting in unscientific selection of parameters such as concrete mix ratio, pumping speed and vibration frequency during construction, which may lead to unstable concrete quality and even construction failure. At present, some studies have been devoted to the optimization and intelligentization of underwater concrete construction. For example, some studies have explored the improvement of underwater concrete materials to improve their water resistance, durability and other properties; some studies have proposed the idea of ​​adjusting construction strategies according to environmental conditions, but most of them lack real-time monitoring and adaptive control systems, and cannot adjust construction parameters in real time during construction to cope with environmental changes. In addition, most of the existing underwater environmental monitoring equipment is a single sensor system that can collect certain types of water quality parameters, but these systems generally lack in-depth analysis of environmental changes and real-time feedback mechanisms, and cannot form an effective construction control closed loop. More importantly, most systems only provide environmental monitoring data, but lack linkage control with construction equipment, and cannot achieve dynamic adjustment between environmental data and construction parameters. Summary of the invention

[0003] The present invention provides an underwater concrete construction environment monitoring and adaptability control system, which collects underwater environmental parameters in real time, analyzes and calculates the underwater construction environment adaptability index, and adaptively adjusts the construction parameters according to this index. This system can effectively improve the accuracy, efficiency and safety of underwater concrete construction and avoid construction problems caused by environmental changes.

[0004] In order to solve the above problems, the technical solution adopted by the present invention is as follows:

[0005] The present invention provides an underwater concrete construction environment monitoring and adaptability control system, comprising:

[0006] Environmental monitoring module, used to collect underwater environmental parameters, including turbidity, temperature, flow rate, pressure and pH value;

[0007] The data processing module is used to pre-process the underwater environmental parameters and then calculate the underwater construction environment adaptability index;

[0008] A construction control module is used to adaptively adjust concrete construction parameters, including concrete mix ratio, concrete pumping speed and vibration frequency, according to the underwater construction environment adaptability index;

[0009] A remote monitoring and alarm module, used to receive the real-time data of the data processing module and the parameter adjustment information of the construction control module, and to issue an alarm when the parameter reaches the corresponding alarm threshold;

[0010] The data storage and statistics module is used to receive all module data and save them in time series.

[0011] As a further description of the above technical solution, the environmental monitoring module includes a sensor network and a data acquisition terminal. The sensor network includes a turbidity sensor, a temperature sensor, a Doppler flowmeter, a pressure sensor and a pH sensor. The data acquisition terminal is used to integrate data from the sensor network and transmit it to the data processing module.

[0012] As a further description of the above technical solution, the method for preprocessing the underwater environmental parameters by the data processing module includes data cleaning and normalization; the formula for calculating the underwater construction environment adaptability index E is:

[0013]

[0014] Where: P i represents the current value of the i-th environmental parameter; P i，min and P i，max Respectively represent the minimum and maximum values ​​allowed for the i-th parameter; λ i is the weight of the i-th parameter; n is the total number of parameters.

[0015] As a further description of the above technical solution, the construction control module dynamically adjusts the concrete mix ratio through the following formula:

[0016]

[0017] Where: R represents the concrete mix ratio; W represents the water consumption; C represents the cement consumption; T represents the current water temperature; T 0 Indicates the best construction water temperature; T max and T min are the maximum and minimum water temperatures allowed respectively; v represents the current water flow rate; v max Indicates the maximum allowed water flow rate.

[0018] As a further description of the above technical solution, the calculation formula for the construction control module to adaptively adjust the vibration frequency F is:

[0019]

[0020] Among them: F 0 represents the foundation vibration frequency; Δρ represents the density difference between water and concrete; ρ c Indicates the density of concrete.

[0021] As a further description of the above technical solution, the construction control module dynamically adjusts the concrete pumping speed v p The formula is:

[0022]

[0023] Where: v p,0 Indicates the basic pumping speed; E max Represents the maximum construction environment adaptability index.

[0024] As a further description of the above technical solution, the data processing module and the construction control module work together, and their dynamic adjustment algorithm meets the following optimization goals:

[0025]

[0026] Where: Φ is the objective function; R t and F t Respectively represent the concrete mix ratio and vibration frequency at time t; R opt and F opt is the optimization target value; 1 and ω 2 is the weight coefficient.

[0027] As a further description of the above technical solution, the remote monitoring and alarm module calculates the alarm threshold A using the following formula:

[0028]

[0029] Where: κ is the alarm sensitivity coefficient; P i，opt is the optimal value of the i-th parameter.

[0030] As a further description of the above technical solution, the data storage and statistics module stores the data in segments according to the time series, and the storage segment time interval Δt satisfies the following formula:

[0031]

[0032] Where: μ represents the data update frequency coefficient; E represents the current construction environment adaptability index; E0 Indicates the base value of the adaptability index.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] 1) The system collects underwater environmental parameters including turbidity, temperature, flow rate, pressure and pH value in real time through the environmental monitoring module, providing the system with accurate environmental data. After preprocessing and adaptability index calculation by the data processing module, these data can reflect the changes in the underwater construction environment in real time and provide a scientific basis for the construction control module.

[0035] 2) According to the underwater environment adaptability index, the construction control module can adaptively adjust the concrete construction parameters (such as concrete mix ratio, pumping speed and vibration frequency). This dynamic adjustment mechanism can effectively cope with the impact of different underwater environments on concrete construction, ensure stable construction quality, and improve construction efficiency.

[0036] 3) The remote monitoring and alarm module can receive information from the data processing module and the construction control module in real time. Once the construction parameters reach the preset alarm threshold, the system will automatically send out an alarm signal. This function can effectively prevent the risks caused by parameter deviation during the construction process and ensure construction safety.

[0037] 4) The data storage and statistics module saves the data of all modules in time series to facilitate later analysis and decision support. Long-term data accumulation helps to optimize the construction plan and improve the overall quality and efficiency of underwater concrete construction.

[0038] 5) Combining real-time environmental monitoring with construction parameter adjustment can effectively reduce human operational errors and avoid fluctuations in concrete quality caused by changes in environmental factors in traditional construction methods. At the same time, the system's automation and intelligent control can increase construction speed and save time and cost.

[0039] 6) It can cope with construction needs in different underwater environments and is suitable for various underwater construction scenarios, including construction under complex water flows, different water depths, and various temperature and pressure conditions. Through adaptive control, the system can dynamically adjust the construction plan according to the specific environment to ensure construction stability in complex environments.

[0040] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the embodiments of the present invention are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0042] Figure 1 It is a structural block diagram of the underwater concrete construction environment monitoring and adaptability control system described in an embodiment of the present invention. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments.

[0044] Please refer to Figure 1 The embodiment of the present invention provides an underwater concrete construction environment monitoring and adaptive control system. The system includes an environment monitoring module, a data processing module, a construction control module, a remote monitoring and alarm module, and a data storage and statistics module. The modules work together to achieve monitoring, analysis and dynamic adaptive control of the construction environment, thereby ensuring the efficiency and quality of underwater construction.

[0045] 1. Environmental monitoring module

[0046] The environmental monitoring module is used to collect underwater environmental parameters, including turbidity, temperature, flow rate, pressure and pH value.

[0047] In this embodiment, the environment monitoring module includes a sensor network and a data acquisition terminal.

[0048] The sensor network includes turbidity sensors, temperature sensors, Doppler flow meters, pressure sensors and pH sensors. The sensor network is evenly arranged around the construction area to ensure comprehensive coverage of environmental data.

[0049] The data acquisition terminal is used to integrate data from the sensor network and transmit it to the data processing module in real time.

[0050] The data acquisition terminal receives data from the sensor network by wireless communication, preferably acoustic wave communication, because the strong absorption and scattering of electromagnetic waves by water limits the application of traditional wireless communication technology underwater. Acoustic wave communication is the most mature underwater wireless communication technology, which uses the characteristics of sound waves propagating in water for communication.

[0051] 2. Data processing module

[0052] The data processing module is used to pre-process the underwater environmental parameters and then calculate the underwater construction environment adaptability index.

[0053] In this embodiment, the method for preprocessing underwater environmental parameters includes data cleaning and normalization.

[0054] Parameter normalization can eliminate the dimension differences of different sensor data. The formula is:

[0055]

[0056] in is the normalized parameter value, P i represents the current value of the i-th environmental parameter; P i，min and P i，max Respectively represent the minimum and maximum allowed values ​​for the i-th parameter.

[0057] The formula for calculating the underwater construction environment adaptability index E is:

[0058]

[0059] Where: i is the weight of the i-th parameter; n is the total number of parameters.

[0060] The underwater construction environment adaptability index E comprehensively considers multiple environmental factors (such as turbidity, temperature, flow rate, etc.) to quantitatively evaluate the impact of the construction environment on the quality of concrete. The weighted formula is flexible in design and is adjusted by the weight coefficient λ. i The importance of different environmental factors can be adjusted according to construction requirements. This embodiment provides a dynamic and quantitative environmental adaptability index E to guide the adjustment of subsequent construction parameters; improves the system's environmental perception ability, realizes real-time dynamic optimization of the construction process; and reduces construction quality fluctuations caused by environmental changes.

[0061] 3. Construction control module

[0062] The construction control module is used to adaptively adjust concrete construction parameters, including concrete mix ratio, concrete pumping speed and vibration frequency, according to the adaptability index of the underwater construction environment.

[0063] In this embodiment, the construction control module dynamically adjusts the concrete mix ratio through the following formula:

[0064]

[0065] Where: R represents the concrete mix ratio; W represents the water consumption; C represents the cement consumption; T represents the current water temperature; T 0 Indicates the best construction water temperature; T max and Tmin are the maximum and minimum water temperatures allowed respectively; v represents the current water flow rate; v max Indicates the maximum allowed water flow rate.

[0066] This embodiment introduces dynamic adjustment of concrete mix ratio by water temperature and water flow velocity, which solves the problem of fixed mix ratio in traditional construction. Combined with environmental parameters T and v, it realizes refined dynamic regulation of construction material proportions, ensures the workability and strength of concrete under different water temperature and water flow conditions, improves construction quality, reduces the impact of environmental conditions on concrete performance, increases adaptability, and avoids construction defects caused by neglect of environmental parameters in traditional methods.

[0067] The calculation formula for the construction control module to adaptively adjust the vibration frequency F is:

[0068]

[0069] Among them: F 0 represents the foundation vibration frequency; Δρ represents the density difference between water and concrete; ρ c Indicates the density of concrete.

[0070] This embodiment dynamically adjusts the vibration frequency based on the density difference Δρ between concrete and the ambient water body to ensure the uniformity and sufficiency of the vibration effect, introduces water temperature deviation to correct the vibration frequency, avoids the degradation of vibration quality due to temperature influence, improves the concrete vibration quality, reduces segregation caused by density difference, realizes intelligent dynamic adjustment of the vibration frequency, and adapts to complex underwater construction environments.

[0071] The construction control module dynamically adjusts the concrete pumping speed v p The formula is:

[0072]

[0073] Where: v p,0 Indicates the basic pumping speed; E max Represents the maximum construction environment adaptability index.

[0074] This embodiment dynamically adjusts the pumping speed in combination with the environmental adaptability index E, thereby achieving a coordinated optimization of the pumping speed and the construction environment, avoiding excessively fast or slow pumping speed due to environmental maladaptation, preventing pipe blockage or reduced pumping efficiency, and improving concrete pumping efficiency and construction continuity.

[0075] In this embodiment, the data processing module and the construction control module work together, and their dynamic adjustment algorithm needs to meet the following optimization goals:

[0076]

[0077] Where: Φ is the objective function; T in the function is the construction time period; R t and F t Respectively represent the concrete mix ratio and vibration frequency at time t; R opt and F opt are the target values ​​for optimization, namely the target concrete mix ratio and the target vibration frequency; ω 1 and ω 2 are the weight coefficients of concrete mix proportion and vibration frequency respectively.

[0078] The multi-objective optimization design comprehensively considers two key parameters in the construction process (concrete mix ratio and vibration frequency) and uses the weight coefficient ω 1 and ω 2 Adjust the optimization focus to meet the needs of different construction scenarios. Based on the time series t, ensure that the optimization can dynamically adapt to the real-time changes in the construction process, rather than the static optimization mode, use the square error to measure the degree of deviation of the parameter from the target value, amplify the impact of large deviations, and improve the accuracy of the optimization process. Multi-objective optimization design can ensure the construction quality of concrete and the underwater coagulation effect, update the optimization target Φ in real time during the construction process, flexibly respond to environmental changes and construction demand adjustments, reduce the degree of deviation of construction parameters from the target value, and avoid resource waste or construction failure due to improper parameters.

[0079] 4. Remote monitoring and alarm module

[0080] The remote monitoring and alarm module is used to receive real-time data from the data processing module and parameter adjustment information from the construction control module, and provides a visual interface and sends an alarm notification to the operator when the parameters reach the corresponding alarm threshold.

[0081] In this embodiment, a method for calculating the alarm threshold A based on the sum of squared deviations is proposed:

[0082]

[0083] Where: P i，opt is the optimal value of the ith parameter; the comprehensive deviation degree of multiple factors is taken into account, the alarm sensitivity coefficient k is integrated, and the alarm response is adjusted according to different construction scenarios, which improves the accuracy of the alarm system, reduces false alarms or missed alarms, realizes the rapid identification of abnormal construction environments, and ensures construction safety.

[0084] 5. Data storage and statistics module

[0085] The data storage and statistics module is used to receive all module data and store the data in segments according to the time series. The storage segment time interval Δt satisfies the following formula:

[0086]

[0087] Where: μ represents the data update frequency coefficient. The frequency coefficient μ can be used to adapt the data collection frequency according to different construction scenarios to enhance the applicability of the system. For example, the μ value can be reduced at key construction nodes to improve the response speed. E represents the current construction environment adaptability index. E 0 Represents the benchmark value of the adaptability index. This calculation method introduces the construction environment adaptability index E, so that the segmented time interval can be dynamically adjusted according to the comprehensive adaptability of the construction environment, which not only ensures the real-time nature of important data, but also avoids waste of resources. When the environmental conditions are poor (i.e., E is low), the time interval is shortened, and the sampling frequency is automatically increased to ensure high-frequency data collection, ensure real-time monitoring of construction conditions, and timely discover potential problems; when the environmental conditions are well adaptable (i.e., E is high), the time interval is extended, thereby reducing unnecessary sampling frequency, reducing data processing and transmission pressure, and extending the service life of the equipment; the use of the logarithmic function ln makes Δt respond to changes in E in a decreasing trend. This nonlinear design makes the system more sensitive to environmental changes in the initial adaptation stage, and reduces frequent adjustments when it tends to be stable.

[0088] 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 underwater concrete construction environment monitoring and adaptability control system, characterized in that: include: Environmental monitoring module, used to collect underwater environmental parameters, including turbidity, temperature, flow rate, pressure and pH value; The data processing module is used to pre-process the underwater environmental parameters and then calculate the underwater construction environment adaptability index; A construction control module is used to adaptively adjust concrete construction parameters, including concrete mix ratio, concrete pumping speed and vibration frequency, according to the underwater construction environment adaptability index; A remote monitoring and alarm module, used to receive the real-time data of the data processing module and the parameter adjustment information of the construction control module, and to issue an alarm when the parameter reaches the corresponding alarm threshold; The data storage and statistics module is used to receive all module data and save them in time series.

2. The underwater concrete construction environment monitoring and adaptability control system according to claim 1 is characterized in that: The environmental monitoring module includes a sensor network and a data acquisition terminal. The sensor network includes a turbidity sensor, a temperature sensor, a Doppler flow meter, a pressure sensor and a pH sensor. The data acquisition terminal is used to integrate data from the sensor network and transmit it to the data processing module.

3. The underwater concrete construction environment monitoring and adaptability control system according to claim 1 is characterized in that: The method for preprocessing underwater environmental parameters by the data processing module includes data cleaning and normalization; the formula for calculating the underwater construction environment adaptability index E is: Where: P i represents the current value of the i-th environmental parameter; P i，min and P i，max Respectively represent the minimum and maximum values ​​allowed for the i-th parameter; λ i is the weight of the i-th parameter; n is the total number of parameters.

4. The underwater concrete construction environment monitoring and adaptability control system according to claim 3 is characterized in that: The construction control module dynamically adjusts the concrete mix ratio through the following formula: Where: R represents the concrete mix ratio; W represents the water consumption; C represents the cement consumption; T represents the current water temperature; T0 represents the optimal construction water temperature; T max and T min are the maximum and minimum water temperatures allowed respectively; v represents the current water flow rate; v max Indicates the maximum allowed water flow rate.

5. The underwater concrete construction environment monitoring and adaptability control system according to claim 4 is characterized in that: The calculation formula for adaptively adjusting the vibration frequency F of the construction control module is: Where: F0 represents the foundation vibration frequency; Δρ represents the density difference between water and concrete; ρ c Indicates the density of concrete.

6. The underwater concrete construction environment monitoring and adaptability control system according to claim 5 is characterized in that: The construction control module dynamically adjusts the concrete pumping speed v p The formula is: Where: v p,0 Indicates the basic pumping speed; E max Represents the maximum construction environment adaptability index.

7. The underwater concrete construction environment monitoring and adaptability control system according to claim 6 is characterized in that: The data processing module and the construction control module work together, and their dynamic adjustment algorithm meets the following optimization goals: Where: Φ is the objective function; R t and F t Respectively represent the concrete mix ratio and vibration frequency at time t; R opt and F opt is the optimization target value; ω1 and ω2 are weight coefficients.

8. The underwater concrete construction environment monitoring and adaptability control system according to claim 7 is characterized in that: The remote monitoring and alarm module calculates the alarm threshold A using the following formula: Where: k is the alarm sensitivity coefficient; P i，opt is the optimal value of the i-th parameter.

9. The underwater concrete construction environment monitoring and adaptability control system according to claim 8, characterized in that: The data storage and statistics module stores the data in segments according to the time series, and the storage segment time interval Δt satisfies the following formula: Where: μ represents the data update frequency coefficient; E represents the current construction environment adaptability index; E0 represents the benchmark value of the adaptability index.

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