Method and device for determining a floating photovoltaic platform offshore construction period
By collecting construction machinery noise data in real time and combining it with a marine acoustic model, a compliant construction time schedule is dynamically generated, which solves the shortcomings of existing methods for determining construction time periods and enables efficient and green construction of offshore photovoltaic platforms.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HUANENG (FUJIAN ZHANG ZHOU) ENERGY CO LTD
- Filing Date
- 2026-03-26
- Publication Date
- 2026-07-03
AI Technical Summary
Existing methods for determining offshore construction periods for floating photovoltaic platforms rely on static planning and human experience, which cannot integrate real-time noise data and marine acoustic models to perform dynamic and accurate noise impact prediction and compliance period optimization. This results in poor flexibility in construction arrangements, low precision in environmental compliance control, and difficulty in meeting the needs of efficient and green construction in complex marine environments.
By collecting construction machinery noise data in real time, and combining it with marine sound propagation models and environmental parameters, the noise impact value is dynamically calculated and predicted, generating a compliant construction time schedule, thus enabling intelligent and dynamic planning of high-noise operation time.
It improves the compliance and flexibility of construction arrangements, effectively controls the impact of construction noise on the marine environment, and ensures the efficient and green implementation of offshore floating photovoltaic platform construction.
Smart Images
Figure CN122333735A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the interdisciplinary field of marine engineering and environmental protection, and more specifically, to a method and apparatus for determining the construction period of a floating photovoltaic platform at sea. Background Technology
[0002] In recent years, with the development of marine resources and the increasing demand for clean energy, the construction of offshore floating photovoltaic platforms has gradually become an important development direction in the field of new energy. These platforms are typically deployed in nearshore or lake areas, possessing advantages such as not occupying land and high power generation efficiency, and have become an emerging form of photovoltaic power generation. The construction process involves sequentially completing steps such as floating platform fabrication, upper photovoltaic installation, sea transport, positioning and installation, anchoring and covering, and cable installation, resulting in a long construction period and numerous environmental interference factors.
[0003] Currently, noise control during offshore construction typically employs traditional management methods such as selecting low-noise construction machinery, rationally scheduling construction times, and avoiding high-noise operations at night. These methods largely rely on static assessments and experience-based planning before construction, lacking dynamic monitoring and precise prediction of noise impacts during construction, and the determination of construction periods is often rather rough.
[0004] However, existing methods for determining the construction period of floating photovoltaic platforms at sea rely on static planning and human experience, which cannot integrate real-time noise data and marine acoustic models to make dynamic and accurate noise impact prediction and compliance period optimization. This results in poor flexibility in construction arrangements and low precision in environmental compliance control, making it difficult to meet the needs of efficient and green construction in complex marine environments. Summary of the Invention
[0005] The purpose of this application is to provide a method and apparatus for determining the offshore construction period of a floating photovoltaic platform, which can automatically generate a construction period schedule that complies with environmental regulations by combining real-time noise monitoring with marine acoustic model prediction, so as to intelligently and dynamically plan the high-noise operation time of the floating photovoltaic platform at sea.
[0006] Firstly, a method for determining the construction period of a floating photovoltaic platform at sea is provided, which may include: In the construction area of the floating photovoltaic platform, noise data generated by various construction machinery during operation is collected in real time. The noise data is input into a pre-constructed marine sound propagation model, and combined with the environmental parameters of the construction sea area, the predicted noise impact value of at least one preset point of concern in the construction sea area is calculated. After obtaining the time-based environmental noise limits for the construction sea area, a compliant construction time schedule is generated based on the comparison between the predicted noise impact value and the corresponding time-based environmental noise limits. The compliant construction time schedule is used to dynamically plan the construction time for operations of different noise levels.
[0007] In one possible implementation, noise data generated by various types of construction machinery during operation is collected in real time, including: Collect noise spectrum data of various construction machinery; The noise spectrum data is associated with the construction machinery type identifier, operating condition parameters, and acquisition time that generated the data.
[0008] In one possible implementation, the environmental parameters include at least one or more of the following: water depth data of the construction area, seabed sediment type data, vertical profile data of seawater temperature and salinity, and sea state data.
[0009] In one possible implementation, the environmental parameters include at least sound velocity profile data, seabed acoustic parameters, and sea surface roughness parameters; wherein, the sound velocity profile data is obtained by accessing a marine environmental database and includes information on the distribution of seawater temperature and salinity with depth; the seabed acoustic parameters are obtained through geological sampling and include at least seabed density, sound velocity, and attenuation coefficient; the sea surface roughness parameters are determined based on synchronously acquired sea state and wind speed data; The noise data is input into a pre-constructed marine sound propagation model, and combined with environmental parameters of the construction area, the predicted noise impact value of at least one preset point of concern within the construction area is calculated, including: The noise data is subjected to spectrum analysis to obtain the sound source level spectrum data of various construction machines at 1 / 3 octave band at the time of acquisition. The sound source level spectrum data is then associated and stored with the operating power data of the construction machines acquired simultaneously to form a sound source feature dataset under different power conditions. The sound velocity profile data is input into the parameter configuration module of the configured ocean acoustic propagation model. The parameter configuration module determines the target propagation model that matches the gradient change characteristics from a preset model library based on the gradient change characteristics of the sound velocity profile data. The preset model library contains numerical models constructed based on parabolic equations, ray acoustics, and normal mode wave theory, respectively. The sound source feature dataset, the location coordinates of the construction machinery as the sound source point, the location coordinates of each preset point of interest, the obtained seabed acoustic parameters, and the sea surface roughness parameters are all input into the target propagation model to calculate the sound propagation loss value from the sound source point to each preset point of interest. The source-level spectrum data in the sound source feature dataset is subtracted from the sound propagation loss value band by band, and then the energy is superimposed to obtain the predicted noise impact value of each preset point of interest within a specified time period.
[0010] In one possible implementation, a schedule for compliant construction periods is generated based on the comparison between the predicted noise impact value and the environmental noise limit for the corresponding time period, including: Identify a series of consecutive future time periods that require compliance assessments; For each time period in a series of consecutive future periods, the predicted noise impact values of all preset concerns in the construction sea area during that time period are compared with the corresponding environmental noise limits for that time period. If, within a certain period of time, the predicted noise impact values of all preset points of concern are not higher than their corresponding environmental noise limits, then that period of time is determined to be a compliant period for high-noise operations. All time periods identified as compliant are summarized and sorted to generate the compliant construction time period table.
[0011] In one possible implementation, the predicted noise impact values of all preset points of concern within the construction sea area during the specified time period are compared with the corresponding environmental noise limits for that time period, including: Identify the time period type to which the time period belongs, wherein the time period type includes at least daytime time period and nighttime time period; Based on the identified time period type, the environmental noise limit rules bound to that type are invoked. The noise limit rules for nighttime periods are stricter than those for daytime periods. The predicted noise impact value of each preset concern point in this time period is compared with the noise limit rule based on the current time period type.
[0012] In one possible implementation, the ocean acoustic propagation model is a numerical model based on parabolic equations, ray acoustics, or normal mode theory.
[0013] Secondly, a device for determining the construction period of a floating photovoltaic platform at sea is provided, the device including: The data acquisition unit is used to collect noise data generated by various construction machinery in real time during operation within the construction area of the floating photovoltaic platform. The calculation unit is used to input the noise data into a pre-constructed marine sound propagation model, and, in combination with the environmental parameters of the construction sea area, calculate the predicted noise impact value of at least one preset point of concern in the construction sea area. The generation unit is used to generate a compliant construction time schedule based on the comparison results between the predicted noise impact value and the environmental noise limit for the corresponding time period after obtaining the time-based environmental noise limit for the construction sea area; the compliant construction time schedule is used to dynamically plan the construction time for operations of different noise levels.
[0014] Thirdly, an electronic device is provided, which includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; When a processor executes a program stored in memory, it implements any of the steps described in the first aspect above.
[0015] Fourthly, a computer-readable storage medium is provided, wherein a computer program is stored therein, and when executed by a processor, the computer program implements the steps of any of the methods described in the first aspect above.
[0016] This application provides a method and apparatus for determining the offshore construction period of a floating photovoltaic platform. The method involves real-time collection of noise data generated by various construction machinery during operation within the construction area of the floating photovoltaic platform. The noise data is input into a pre-constructed marine acoustic propagation model, and combined with environmental parameters of the construction area, the predicted noise impact value of at least one preset point of concern within the construction area is calculated. After obtaining the time-specific environmental noise limits corresponding to the construction area, a compliant construction period schedule is generated based on the comparison between the predicted noise impact value and the corresponding time-specific environmental noise limits. This compliant construction period schedule is used to dynamically plan the construction time for operations at different noise levels. This method combines real-time noise monitoring with marine acoustic model prediction to automatically generate a construction period schedule that complies with environmental regulations, providing an intelligent and dynamic method for planning high-noise operation times for floating photovoltaic platforms at sea. Attached Figure Description
[0017] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0018] Figure 1 A flowchart illustrating a method for determining the offshore construction period of a floating photovoltaic platform, provided in an embodiment of this application; Figure 2A schematic diagram of a device for determining the offshore construction period of a floating photovoltaic platform, provided in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation
[0019] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application. Unless otherwise defined, the technical or scientific terms used in this application should have the ordinary meaning understood by those skilled in the art. The words "first," "second," and similar terms used in this application do not indicate any order, quantity, or importance, but are only used to distinguish different components. The words "comprising" or "including," etc., mean that the element or object preceding the word covers the element or object listed after the word and its equivalents, but do not exclude other elements or objects. The words "connected," "coupled," or "connected," etc., are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Up," "down," "left," "right," etc., are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.
[0020] The method for determining the offshore construction period of floating photovoltaic platforms provided in this application dynamically assesses the impact of construction noise on the marine environment before and during construction, and automatically generates a construction period plan that complies with environmental regulations. This effectively controls the impact of construction noise on the marine environment, improves the compliance and flexibility of construction arrangements, and ensures the efficient and green implementation of offshore floating photovoltaic platform construction.
[0021] The floating photovoltaic platform involved in this application is a new type of energy facility that installs a photovoltaic power generation system on a floating structure at sea. Its main structure typically includes: The floating system, consisting of high-density polyethylene (HDPE) pontoons or composite material pontoons, connecting components, etc., provides buoyancy and stability to the superstructure.
[0022] The superstructure, including photovoltaic modules, support brackets, and electrical equipment such as inverters and combiner boxes, is fixed on the floating system.
[0023] A mooring system secures the entire platform to a predetermined sea area using anchor chains, cables, and seabed anchoring devices (such as suction anchors and gravity anchors) to resist the loads of wind, waves, and currents.
[0024] Power output systems, including dynamic submarine cables and offshore substations, are used to transmit the generated electricity to the onshore power grid.
[0025] The offshore construction process generally follows this sequence: Floating platform processing → Top photovoltaic installation → Offshore transport → Positioning and installation → Anchoring and overlay → Cable installation → Daily care and management.
[0026] In the aforementioned process, anchoring and ballasting operations are particularly critical. These operations involve the coordinated work of multiple high-noise construction vessels (such as anchoring vessels and crane vessels) and large machinery (such as hydraulic pile drivers / vibratory hammers, high-power winches, and air compressors), generating significant air and underwater noise. If left uncontrolled, this noise could disturb the surrounding marine ecosystem (especially sound-sensitive organisms) and may violate relevant marine environmental protection regulations. Therefore, this application primarily focuses on the refined and intelligent time-segment management of this stage and similar high-noise operation phases.
[0027] This application dynamically assesses the impact of construction noise on the marine environment before and during construction, and automatically generates a construction schedule that complies with environmental regulations.
[0028] The preferred embodiments of this application are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit this application. Furthermore, the embodiments and features in the embodiments of this application can be combined with each other without conflict.
[0029] Figure 1 This is a flowchart illustrating a method for determining the offshore construction period of a floating photovoltaic platform, as provided in an embodiment of this application. Figure 1 As shown, the method may include: Step S110: In the construction area of the floating photovoltaic platform, collect noise data generated by various construction machinery in real time during operation.
[0030] Collect noise spectrum data of various types of construction machinery; associate and bind the noise spectrum data with the type of construction machinery that generated the data, the operating condition parameters, and the collection time.
[0031] Specifically, within the construction area of the floating photovoltaic platform, hydrophones or vibration sensors are deployed in or near key parts of various construction machinery (such as diesel engines, hydraulic pumps, pile hammers, etc.) to collect noise signals generated under typical operating loads in real time. Preferably, noise spectrum data containing different frequency components is collected to more accurately reflect the characteristics of the sound source.
[0032] Subsequently, to facilitate later analysis and management, the collected noise signals were processed using Fast Fourier Transform (FFT) to obtain noise spectrum data containing frequency components. This provides a more accurate characterization of the sound source than single sound pressure level data. The system then automatically associates each noise spectrum data point with the type identifier of the construction machinery that generated it (a unique equipment code), operating parameters (such as engine speed, hydraulic pressure, and pile driving energy level), and the precise acquisition timestamp, forming a structured sound source feature database.
[0033] This step, by collecting data in real time rather than using fixed parameters, can accurately reflect the impact of mechanical wear and changes in operating conditions on noise, providing reliable input for accurate prediction. Furthermore, the correlation and binding facilitates the tracing and analysis of noise contributions from different machines and under different operating conditions.
[0034] Step S120: Input the noise data into the pre-constructed marine sound propagation model, and calculate the predicted noise impact value of at least one preset point of concern in the construction sea area by combining the environmental parameters of the construction sea area.
[0035] Step 1: Obtain environmental parameters of the construction sea area, including: Sound velocity profile data: A sound velocity profile is a key parameter describing the variation of sound wave propagation speed with depth in a seawater medium. Historical observation data or reanalysis data for the sea area can be retrieved from a pre-built marine environment database. Sound velocity profile data should contain sound velocity values over the entire water depth range from the sea surface to the seabed, typically recorded as discrete points at depth intervals (e.g., 1 meter or 2 meters).
[0036] Seabed sediment acoustic parameters: The acoustic properties of the seabed sediment (such as density, sound velocity, and attenuation coefficient) directly affect the reflection and absorption of sound waves at the seabed boundary. Seabed sediment samples can be collected in the construction area through geological sampling, and their density, P-wave velocity, and attenuation coefficient can be obtained through laboratory measurements.
[0037] Sea surface roughness parameter: Sea surface conditions (calm or undulating waves) have a significant impact on the scattering of high-frequency sound waves. The sea surface roughness parameter is determined based on synchronously acquired sea state and wind speed data. Specifically, wind speed data at a height of 10 meters above the sea surface is acquired in real time using automatic weather stations or ocean buoys in the construction area. Based on sea surface roughness theory and empirical models (such as the Apel model), the wind speed is converted into the mean square wave height of the sea surface or the root mean square displacement of the sea surface roughness, used to characterize the scattering loss of sound waves from the sea surface. The higher the wind speed, the rougher the sea surface, and the greater the corresponding scattering loss.
[0038] Step 2, noise data preprocessing and sound source feature extraction, including: The acquired raw noise time-domain signal was converted into a frequency-domain signal using a Fast Fourier Transform (FFT). Further 1 / 3 octave band spectrum analysis was performed to obtain the sound source level spectrum data for various construction machines at the time of acquisition, corresponding to the 1 / 3 octave band. This data is expressed in the form of sound pressure level corresponding to the center frequency of the frequency band (e.g., from 10Hz to 20kHz, divided into 1 / 3 octave bands), providing a more detailed description of the energy frequency distribution characteristics of the sound source.
[0039] Next, the aforementioned source-level spectrum data is correlated with the synchronously acquired operating power data of the construction machinery. Specifically, the operating parameters of the construction machinery (such as engine speed, hydraulic pressure, pile driving hammer energy, etc.) are collected in real time and converted into corresponding operating power values. The source-level spectrum data corresponding to different operating power are categorized and stored to form a power-spectrum corresponding source feature dataset. This dataset reflects the sound source radiation characteristics of the same or the same type of construction machinery under different load conditions.
[0040] Step 3, Selection and parameter configuration of the ocean acoustic propagation model, including: First, a library of numerical models is pre-built based on parabolic equation theory, ray acoustics theory, and normal mode theory, respectively. Each model has different physical approximations and applicable ranges: the parabolic equation model is suitable for handling sound propagation problems in horizontally varying environments; the ray acoustics model is suitable for sound field calculations under high-frequency approximations, providing a clear physical picture; and the normal mode model is suitable for sound field calculations in low-frequency, shallow water environments, and can accurately handle seabed boundaries.
[0041] The acquired sound velocity profile data is then input into the parameter configuration module. This module analyzes the gradient variation characteristics of the sound velocity profile, such as: whether a surface channel (positive surface sound velocity gradient) exists, whether a deep-sea channel (sound velocity minimum layer) exists, and whether it is a typical negative gradient or isotropic distribution. Based on the analysis results, a target propagation model matching the gradient variation characteristics is determined from a pre-set model library. For example: if the sound velocity profile exhibits obvious surface channel characteristics, indicating that sound waves are easily confined to near-surface propagation, a parabolic equation model can be selected to accurately handle horizontal variation effects; if the sound velocity profile exhibits typical deep-sea channel characteristics, and the point of interest is far away, a ray model can be selected to efficiently calculate the convergence zone formation location and sound intensity; if the construction area is a shallow near-field, and the noise frequency band contains significant low-frequency components, a normal mode model can be selected to accurately handle seabed reflections and modal interference structures. This adaptive selection mechanism ensures that the selected model has the best physical match with the current marine environment.
[0042] Step 4, Calculation of sound propagation loss, including: The sound source feature data, environmental parameters, and location information obtained in the aforementioned steps are input into the target propagation model to calculate the sound propagation loss. The sound source level spectrum data (as the sound source boundary input), the three-dimensional spatial coordinates (longitude, latitude, and water depth) of the sound source point, the three-dimensional spatial coordinates of each preset point of interest, the acoustic parameters of the seabed sediment (density, sound velocity, and attenuation coefficient), and the sea surface roughness parameters (determined by wind speed) are input into the selected target propagation model.
[0043] The target propagation model, based on input sound velocity profile data, solves the sound wave equation or equation to simulate the propagation of sound rays or sound energy from the sound source. Along the propagation path, the model couples the reflection loss coefficient of the seabed sediment (calculated based on the seabed acoustic parameters) and the scattering loss caused by the dynamic roughness of the sea surface (calculated based on the sea surface roughness parameters), calculating the sound field distribution point-by-point or segment-by-segment. The final output is the sound propagation loss value from the sound source to each preset point of interest, typically represented by a frequency-dependent function TL(f,r,z), which represents the energy attenuation of sound waves of different frequencies f at propagation distances r and receiving depths z.
[0044] Step 5: Based on the source-level data and propagation loss value, synthesize the predicted noise impact value for each preset point of interest, including: For each preset point of interest, the sound source level spectrum data (SL(f)) corresponding to each 1 / 3 octave band center frequency in the target frequency band is subtracted from the calculated sound propagation loss value (TL(f)) of the corresponding frequency to obtain the sound pressure level of each frequency band received at that point of interest (RL(f)=SL(f)-TL(f)).
[0045] Then, the sound pressure levels (RL(f)) of each frequency band are superimposed (i.e., summed in the logarithmic domain) to obtain the total sound pressure level of the point of interest within a specified time period. This total sound pressure level is the predicted noise impact value, usually expressed in the form of equivalent continuous A-weighted sound level (Leq) or peak sound level (Lpk), used to characterize the comprehensive impact of construction noise on the point of interest.
[0046] In acoustic calculations, since decibels (dB) are logarithmic units, the sound pressure levels of two frequency bands cannot be directly added arithmetically. Therefore, the total sound pressure level... The calculation formula can be expressed as: ; In the formula, To inversely solve the logarithmic sound pressure level of the i-th frequency band into a linear domain sound intensity ratio; To convert the total energy after superposition back to a decibel value in the logarithmic field.
[0047] Step S130: After obtaining the environmental noise limits for different time periods corresponding to the construction sea area, a table of time periods for compliant construction is generated based on the comparison results between the predicted noise impact value and the environmental noise limits for the corresponding time periods.
[0048] The compliant construction time schedule is used to dynamically plan the construction time for operations with different noise levels.
[0049] Before implementing this step, it is necessary to obtain the required environmental noise limits, including: obtaining the environmental protection standards corresponding to the marine functional zoning (such as shipping area, fishing area, protected area) of the construction sea area. Based on the relevant environmental protection standards, environmental noise limits should be dynamically configured according to different time periods. Generally, the limits during daytime hours (e.g., 07:00-19:00) (e.g., <70dB) are higher than the limits during nighttime hours (e.g., 19:00-07:00 the next day). This configuration can be adjusted according to local regulations or seasonal protection requirements.
[0050] In practice, firstly, a future continuous time range that needs to be judged for compliance needs to be determined, such as the time period divided into hours for each day of the next week (e.g., the next 24 or 48 hours).
[0051] Furthermore, the future continuous time range for compliance judgment determined in this application can be a fixed time window as described above (such as a fixed future 24 or 48 hours), or it can be a future continuous time period window with a variable length that is intelligently generated.
[0052] Identify a series of consecutive future time periods that require compliance assessments, specifically: Based on the tide table and weather forecast data of the construction area, as well as the logical dependencies of construction procedures, a future continuous time window of variable duration is dynamically generated to achieve intelligent integration of environmental compliance and engineering feasibility. Specifically: The system needs to be pre-integrated with a tidal forecast module and a refined weather forecast module (both modules can provide data such as wind speed, wave height, and visibility), and linked to the construction schedule's work sequence network diagram. The window's start time is set to the current moment or the next planned construction start point.
[0053] When weather and sea condition forecasts indicate that persistent unfavorable operating conditions will occur at a certain point in the future (e.g., strong winds and waves exceeding force 6 and wave heights exceeding 2 meters, or rapid currents caused by spring tides), and these conditions will prevent construction vessels from operating safely, severely reduce positioning accuracy, or cause extremely low operational efficiency, the compliance assessment window will be automatically extended to before the onset of these unfavorable conditions. For example, if the original plan was to assess the next 72 hours, but the forecast indicates that persistent strong winds will begin in 36 hours, the compliance assessment window will be shortened to the next 36 hours. This mechanism avoids performing a large amount of unnecessary acoustic calculations and compliance assessments during physically impossible periods, significantly saving computational resources.
[0054] When weather and sea condition forecasts consistently indicate stable and suitable operating conditions, the time window for compliance assessment can be automatically extended to allow for longer-term construction planning and resource optimization, thereby improving construction efficiency.
[0055] This approach, through its intelligent variable window mechanism, ensures that the final compliant construction schedule is not merely a list of compliant periods based on noise standards, but a highly executable and compliant integrated construction planning guide that fully considers actual marine operation windows. It guarantees that each planned compliant period is a time when operations can be carried out safely and effectively under predictable natural conditions, thus solving the problem of the disconnect between compliant periods and operational windows in traditional static planning.
[0056] Subsequently, for each time period in a future series of consecutive time periods, the predicted noise impact values of all preset points of concern within the construction sea area for that time period are compared with the corresponding environmental noise limits for that time period; specifically: (1) Identify the time period type to which the time period belongs, which can include at least daytime and nighttime periods; (2) Based on the identified time period type, call the environmental noise limit rule bound to that type (e.g., daytime limit 70dB, nighttime limit 55dB), where the noise limit rule corresponding to the nighttime period is stricter than that for the daytime period; (3) Compare the predicted noise impact value of each preset concern point in the current time period with the noise limit rule based on the current time period type.
[0057] Subsequently, if the predicted noise impact values of all preset concern points are not higher than their corresponding environmental noise limits within a certain period, then that period is determined to be a compliant period for high-noise operations. If any concern point exceeds the limit, then that period is determined to be non-compliant.
[0058] Finally, all time periods determined to be compliant are summarized and sorted to generate a table of compliant construction time periods.
[0059] This implementation method automates the entire process from noise prediction to compliance decision-making, avoiding oversights and delays caused by human judgment. The generated time schedule provides construction managers with clear, scientifically assessed work time windows, which can be directly used to guide on-site construction arrangements.
[0060] In some embodiments, during the actual construction of the floating photovoltaic platform, steps S110 to S130 are continuously and cyclically executed to dynamically update the compliant construction schedule in real time. When the system detects an abnormal increase in noise data (such as mechanical failure) or a sudden change in environmental parameters (such as changes in propagation conditions due to severe sea conditions) through real-time monitoring, causing a reversal in the compliance judgment of the current or near-term planned construction period (i.e., from compliant to non-compliant), the system automatically generates and issues a construction plan adjustment warning. This warning information can be pushed to the construction command center and includes specific adjustment suggestions, such as: suggesting postponing or advancing specific high-noise procedures, suggesting replacing with low-noise construction machinery, or suggesting adjusting the operating power of machinery, etc. This achieves adaptive management of the construction process.
[0061] Furthermore, the final compliant construction schedule is output as a visual timeline chart. In the chart, the permitted high-noise work periods, the recommended low-noise work periods, and the prohibited high-noise work periods are clearly distinguished by different color blocks (such as green, yellow, and red), making it easy for construction personnel to quickly understand and implement the schedule.
[0062] Furthermore, before project commencement or during long-term operation, historical noise data and corresponding propagation prediction results of different construction machinery combinations (such as one anchored vessel + two hydraulic vibratory hammers) under various working conditions can be continuously collected to construct a database of noise contribution of construction machinery combinations.
[0063] When preparing daily or phased construction plans, a simplified pre-compliance simulation is run in advance, based on the combination of machinery to be used in the plan, the reference noise spectrum of that combination is retrieved from the database, and combined with the latest environmental parameter forecasts.
[0064] If the simulation results show that there is a high risk of exceeding the standard during a critical period in the future (such as the afternoon when continuous piling is planned), an early warning will be issued and the monitoring strategy in step S110 will be automatically adjusted to instruct on-site monitoring personnel to increase the data acquisition frequency of high-contribution machinery (such as high-power vibratory hammer) in the planned combination (e.g., from 1 minute / time to 10 seconds / time), and may deploy backup sensors for cross-validation to achieve targeted enhanced monitoring.
[0065] This implementation method transforms passive response into proactive prevention. By conducting rehearsals to identify risk points in advance, the limited on-site monitoring resources can be effectively targeted, focusing on the most critical risk sources. Simultaneously, the simulation results provide a scientific basis for optimizing machinery selection or adjusting construction procedures before construction, reducing the probability of violations from the outset.
[0066] Corresponding to the above method, this application also provides a device for determining the offshore construction period of a floating photovoltaic platform, such as... Figure 2 As shown, the device includes: The acquisition unit 210 is used to collect noise data generated by various construction machinery in operation in real time within the construction area of the floating photovoltaic platform. The calculation unit 220 is used to input the noise data into a pre-constructed marine sound propagation model and, in combination with the environmental parameters of the construction sea area, calculate the predicted noise impact value of at least one preset point of concern in the construction sea area. The generation unit 230 is used to generate a compliant construction time schedule based on the comparison results between the predicted noise impact value and the environmental noise limit for the corresponding time period after obtaining the time-based environmental noise limit for the construction sea area; the compliant construction time schedule is used to dynamically plan the construction time for different noise levels.
[0067] The functions of each functional unit of the device for determining the offshore construction period of a floating photovoltaic platform provided in the above embodiments of this application can be realized through the above-described method steps. Therefore, the specific working process and beneficial effects of each unit in the device for determining the offshore construction period of a floating photovoltaic platform provided in the embodiments of this application will not be repeated here.
[0068] This application also provides an electronic device, such as... Figure 3 As shown, it includes a processor 310, a communication interface 320, a memory 330, and a communication bus 340, wherein the processor 310, the communication interface 320, and the memory 330 communicate with each other through the communication bus 340.
[0069] Memory 330 is used to store computer programs; When the processor 310 executes the program stored in the memory 330, it performs the following steps: In the construction area of the floating photovoltaic platform, noise data generated by various construction machinery during operation is collected in real time. The noise data is input into a pre-constructed marine sound propagation model, and combined with the environmental parameters of the construction sea area, the predicted noise impact value of at least one preset point of concern in the construction sea area is calculated. After obtaining the time-based environmental noise limits for the construction sea area, a compliant construction time schedule is generated based on the comparison between the predicted noise impact value and the corresponding time-based environmental noise limits. The compliant construction time schedule is used to dynamically plan the construction time for operations of different noise levels.
[0070] The communication bus mentioned above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not mean that there is only one bus or one type of bus.
[0071] The communication interface is used for communication between the aforementioned electronic devices and other devices.
[0072] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.
[0073] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.
[0074] The implementation methods and beneficial effects of the various components of the electronic device in the above embodiments for solving the problem can be found in [reference needed]. Figure 1 The steps in the illustrated embodiments are used to implement the electronic device. Therefore, the specific working process and beneficial effects of the electronic device provided in this application will not be repeated here.
[0075] In another embodiment provided in this application, a computer-readable storage medium is also provided, which stores instructions that, when executed on a computer, cause the computer to perform the method for determining the offshore construction period of the floating photovoltaic platform as described in any of the above embodiments.
[0076] In another embodiment provided in this application, a computer program product containing instructions is also provided, which, when run on a computer, causes the computer to execute the method for determining the offshore construction period of a floating photovoltaic platform as described in any of the above embodiments.
[0077] Those skilled in the art will understand that the embodiments in this application can be provided as methods, systems, or computer program products. Therefore, the embodiments in this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the embodiments in this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0078] This application describes embodiments of methods, apparatus (systems), and computer program products according to embodiments of this application with reference to flowchart illustrations and / or block diagrams. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0079] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0080] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0081] Although preferred embodiments have been described in this application, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of this application.
[0082] Obviously, those skilled in the art can make various modifications and variations to the embodiments of this application without departing from the spirit and scope of the embodiments of this application. Therefore, if these modifications and variations to the embodiments of this application fall within the scope of the claims in this application and their equivalents, then this application also intends to include these modifications and variations.
Claims
1. A method for determining a floating photovoltaic platform offshore construction period, characterized in that, The method includes: In the construction area of the floating photovoltaic platform, noise data generated by various construction machinery during operation is collected in real time. The noise data is input into a pre-constructed marine sound propagation model, and combined with the environmental parameters of the construction sea area, the predicted noise impact value of at least one preset point of concern in the construction sea area is calculated. After obtaining the time-based environmental noise limits for the construction sea area, a compliant construction time schedule is generated based on the comparison between the predicted noise impact value and the corresponding time-based environmental noise limits. The compliant construction time schedule is used to dynamically plan the construction time for operations of different noise levels.
2. The method of claim 1, wherein, Real-time collection of noise data generated by various construction machinery during operation, including: Collect noise spectrum data of various construction machinery; The noise spectrum data is associated with the construction machinery type identifier, operating condition parameters, and acquisition time that generated the data.
3. The method of claim 1, wherein, The environmental parameters include at least one or more of the following: water depth data of the construction area, seabed sediment type data, vertical profile data of seawater temperature and salinity, and sea state data.
4. The method of claim 1, wherein, The environmental parameters include at least sound velocity profile data, seabed acoustic parameters, and sea surface roughness parameters; wherein, the sound velocity profile data is obtained by calling a marine environmental database and includes information on the distribution of seawater temperature and salinity with depth; the seabed acoustic parameters are obtained through geological sampling and include at least seabed density, sound velocity, and attenuation coefficient; the sea surface roughness parameters are determined based on synchronously acquired sea state and wind speed data; The noise data is input into a pre-constructed marine sound propagation model, and combined with environmental parameters of the construction area, the predicted noise impact value of at least one preset point of concern within the construction area is calculated, including: The noise data is subjected to spectrum analysis to obtain the sound source level spectrum data of various construction machines at 1 / 3 octave band at the time of acquisition. The sound source level spectrum data is then associated and stored with the operating power data of the construction machines acquired simultaneously to form a sound source feature dataset under different power conditions. The sound velocity profile data is input into the parameter configuration module of the configured ocean acoustic propagation model. The parameter configuration module determines the target propagation model that matches the gradient change characteristics from a preset model library based on the gradient change characteristics of the sound velocity profile data. The preset model library contains numerical models constructed based on parabolic equations, ray acoustics, and normal mode wave theory, respectively. The sound source feature dataset, the location coordinates of the construction machinery as the sound source point, the location coordinates of each preset point of interest, the obtained seabed acoustic parameters, and the sea surface roughness parameters are all input into the target propagation model to calculate the sound propagation loss value from the sound source point to each preset point of interest. The source-level spectrum data in the sound source feature dataset is subtracted from the sound propagation loss value band by band, and then the energy is superimposed to obtain the predicted noise impact value of each preset point of interest within a specified time period.
5. The method of claim 1, wherein, Based on the comparison between the predicted noise impact value and the environmental noise limit for the corresponding time period, a schedule for compliant construction periods is generated, including: Identify a series of consecutive future time periods that require compliance assessments; For each time period in a series of consecutive future periods, the predicted noise impact values of all preset concerns in the construction sea area during that time period are compared with the corresponding environmental noise limits for that time period. If, within a certain period of time, the predicted noise impact values of all preset points of concern are not higher than their corresponding environmental noise limits, then that period of time is determined to be a compliant period for high-noise operations. All time periods identified as compliant are summarized and sorted to generate the compliant construction time period table.
6. The method of claim 5, wherein, The predicted noise impact values of all preset concern points within the construction sea area during the specified time period are compared with the corresponding environmental noise limits for that time period, including: Identify the time period type to which the time period belongs, wherein the time period type includes at least daytime time period and nighttime time period; Based on the identified time period type, the environmental noise limit rules bound to that type are invoked. The noise limit rules for nighttime periods are stricter than those for daytime periods. The predicted noise impact value of each preset concern point in this time period is compared with the noise limit rule based on the current time period type.
7. The method of claim 1, wherein, The ocean acoustic propagation model is a numerical model constructed based on parabolic equations, ray acoustics, or normal mode theory.
8. A device for determining a period of offshore construction of a floating photovoltaic platform, characterized in that, The device includes: The data acquisition unit is used to collect noise data generated by various construction machinery in real time during operation within the construction area of the floating photovoltaic platform. The calculation unit is used to input the noise data into a pre-constructed marine sound propagation model, and, in combination with the environmental parameters of the construction sea area, calculate the predicted noise impact value of at least one preset point of concern in the construction sea area. The generation unit is used to generate a compliant construction time schedule based on the comparison results between the predicted noise impact value and the environmental noise limit for the corresponding time period after obtaining the time-based environmental noise limit for the construction sea area; the compliant construction time schedule is used to dynamically plan the construction time for operations of different noise levels.
9. An electronic device, comprising: The electronic device includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; A processor, when executing a program stored in memory, implements the method of any one of claims 1-7.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method described in any one of claims 1-7.