Marine intertidal zone photovoltaic project water level monitoring and construction production scheduling auxiliary method
By using a tidal prediction model trained with multi-source data and a water level sensor network, the shortcomings of traditional intertidal zone construction in water level observation have been addressed, enabling an efficient and accurate construction scheduling scheme and improving the construction efficiency and safety of offshore photovoltaic projects.
Patent Information
- Application Number
- CN202510755473.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-06
- Publication Date
- 2025-10-31
AI Technical Summary
Traditional intertidal zone construction relies on manual water level observation, which results in low data collection frequency and poor continuity, making it difficult to reflect tidal dynamics. Furthermore, the sparse monitoring points cannot cover complex terrain areas, leading to large prediction errors for construction windows, low construction efficiency, and high risks.
An adaptive tidal prediction model is trained using multi-source data. Data is acquired through a water level sensor network to generate a full-field water level distribution map. Tidal periodicity features are extracted, and an LSTM neural network is used to predict future water level change trends. Combined with a construction resource scheduling algorithm, a visualized production scheduling plan is generated.
It improved the accuracy of tidal cycle prediction, achieved a scientific distribution of monitoring points, enhanced the automation and efficiency of construction, and reduced construction risks.
Smart Images
Figure CN120869293A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to a method for monitoring water levels and assisting in the planning and scheduling of offshore intertidal photovoltaic projects. It is applicable to the fields of marine engineering and new energy technologies. Background Technology
[0002] Traditional intertidal zone construction relies on manual water level observation, which suffers from low data collection frequency and poor continuity, making it difficult to reflect the dynamic changes of tides; the monitoring points are sparse and cannot cover complex terrain areas, resulting in large errors in the prediction of construction window periods; and there is a lack of automated data analysis capabilities, with construction scheduling relying on experience, which is inefficient and risky. Summary of the Invention
[0003] The technical problem to be solved by the present invention is to provide a method for monitoring water level and assisting in construction scheduling for offshore intertidal photovoltaic projects, in order to address the problems mentioned above.
[0004] The technical solution adopted in this invention is: a method for monitoring water level and assisting in construction scheduling for offshore intertidal photovoltaic projects, comprising: The water level monitoring network is equipped with multiple water level sensors installed in the construction area of the photovoltaic project. The water level monitoring network is used to acquire water level monitoring data at regular intervals. A full-field water level distribution map is generated based on water level monitoring data from the water level monitoring network. Based on water level monitoring data from multiple consecutive times between the current time t and time tk, tidal periodicity characteristics are extracted. By inputting water level monitoring data and tidal periodicity characteristics from multiple consecutive moments into a trained tidal prediction model, the trend of water level changes within a preset time period can be predicted. Construction schedules are planned based on the water level change trends over a predetermined time period.
[0005] The water level sensors are deployed in the photovoltaic project construction area based on geological survey data, covering key areas of the intertidal topography.
[0006] The construction scheduling based on the water level change trend within a preset future time period includes: In the material transportation process, the transport ships are arranged to enter the site fully loaded with materials during the high tide window, ensuring sufficient water depth in the channel, and vehicles are organized to transfer materials on the mudflats or near the shore during the low tide period. In terms of construction, manpower and machinery are concentrated during low tide; during high tide, the focus is on transporting materials.
[0007] A device for monitoring water level and assisting in construction scheduling for an intertidal photovoltaic project at sea, comprising: The data acquisition module is used to periodically acquire water level monitoring data from the water level monitoring network, which has multiple water level sensors installed in the construction area of the photovoltaic project. The heat map generation module is used to generate a full-field water level distribution map based on water level monitoring data from the water level monitoring network. The periodicity extraction module is used to extract tidal periodicity features based on water level monitoring data from multiple consecutive times between the current time t and time tk. The trend prediction module is used to input water level monitoring data and tidal periodicity characteristics from multiple consecutive time periods into a trained tidal prediction model to predict the water level change trend within a preset time period in the future. The construction scheduling module is used to schedule construction based on the water level change trend within a preset time period.
[0008] A storage medium storing a computer program executable by a processor, wherein the computer program, when executed, implements the steps of the method for monitoring water level and assisting in construction scheduling for an intertidal photovoltaic project at sea.
[0009] A water level monitoring and construction scheduling auxiliary system, comprising: Multiple water level sensors were installed in the construction area of the photovoltaic project; The data acquisition module is used to collect water level data from each water level sensor in real time. The wireless transmission module is used to wirelessly transmit the water level data collected by the data acquisition module to the data processing module. The data processing module has a memory and a processor. The memory stores a computer program that can be executed by the processor. When the computer program is executed, it implements the steps of the method for monitoring water level and assisting in construction scheduling of the marine intertidal photovoltaic project.
[0010] The beneficial effects of this invention are as follows: This invention improves the accuracy of tidal cycle prediction by training an adaptive model using multi-source data. This invention optimizes sensor deployment strategies based on geological survey results, achieving a scientific distribution of monitoring points. This invention combines water level prediction results with construction resource scheduling algorithms to generate a visualized production scheduling plan. Attached Figure Description
[0011] Figure 1 The flowchart is for an example.
[0012] Figure 2 This is a water level distribution diagram from an example. Detailed Implementation
[0013] To better understand the technical solution of this application, the embodiments of this application will be described in detail below with reference to the accompanying drawings.
[0014] It should be understood that the described embodiments are merely some, not all, of the embodiments in this application. All other embodiments obtained by those skilled in the art based on the embodiments in this application without inventive effort are within the scope of protection of this application.
[0015] The terminology used in the embodiments of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of this application. The singular forms “a,” “the,” and “the” used in the embodiments of this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise.
[0016] Example 1: This example is a method for monitoring water level and assisting in construction scheduling for an intertidal photovoltaic project at sea, specifically including the following steps: S100: Timely acquire water level monitoring data from the water level monitoring network, which has multiple water level sensors installed in the construction area of the photovoltaic project.
[0017] This embodiment deploys multiple water level sensors in the construction area based on geological survey data (such as topographic elevation and geological stability) to form a dynamic monitoring grid. The sensor deployment points are determined according to the geological survey data to ensure coverage of key areas of the intertidal topography (such as low-lying areas and areas with abrupt slope changes).
[0018] S200: Based on water level monitoring data from the water level monitoring network, a water level distribution map of the entire field is generated to identify low-lying areas prone to water accumulation. The water level distribution map includes the location of each water level sensor and the water level data collected by the sensors at each location.
[0019] S300. Based on the water level monitoring data of k+1 consecutive times between the current time t and time tk, the FFT algorithm is used to extract the tidal periodicity characteristics of the corresponding time period of the k+1 consecutive times.
[0020] S400: Input the water level monitoring data and tidal periodicity characteristics from multiple consecutive time periods into a trained LSTM neural network-based tidal prediction model to predict the water level change trend within a preset time period.
[0021] S500: Based on the water level change trend within a preset future time period, construction schedule is determined.
[0022] In this embodiment, during material transportation, transport ships are scheduled to arrive fully loaded with materials during the high tide window to ensure sufficient channel depth. During low tide, vehicles are organized to transfer materials on the mudflats or near the shore. For construction, manpower and machinery are concentrated during low tide, as the work surface is more exposed, facilitating precise operation. During high tide, the focus is on material transportation. Simultaneously, flexible time is reserved to cope with sudden severe weather, tidal anomalies, etc., ensuring orderly and efficient construction throughout the process and promoting the steady completion of the offshore photovoltaic project. For example, during on-site piling construction, at high tide (tide level > 0.5 meters), piling machines and excavators begin to return to shore; at tide level > 1 meter, transport ships begin transporting construction materials to the offshore work site. At low tide (tide level < 1.5 meters), excavators begin to go out to sea to the work site; at tide level < 1 meter, transport ships begin to return to shore.
[0023] Example 2: This example is an auxiliary device for water level monitoring and construction scheduling in an intertidal photovoltaic project at sea, comprising: The data acquisition module is used to periodically acquire water level monitoring data from the water level monitoring network, which has multiple water level sensors installed in the construction area of the photovoltaic project. The heat map generation module is used to generate a full-field water level distribution map based on water level monitoring data from the water level monitoring network. The periodicity extraction module is used to extract tidal periodicity features based on water level monitoring data from multiple consecutive times between the current time t and time tk. The trend prediction module is used to input water level monitoring data and tidal periodicity characteristics from multiple consecutive time periods into a trained tidal prediction model to predict the water level change trend within a preset time period in the future. The construction scheduling module is used to schedule construction based on the water level change trend within a preset time period.
[0024] Example 3: This example describes a storage medium storing a computer program that can be executed by a processor. When the computer program is executed, it implements the steps of the method for monitoring water level and assisting in construction scheduling for the offshore intertidal photovoltaic project.
[0025] Example 4: This example is a water level monitoring and construction scheduling auxiliary system, including: water level sensor, data acquisition module, wireless transmission module and data processing module, etc.
[0026] In this example, multiple water level sensors are deployed in the construction area based on geological survey data (such as topographic elevation and geological stability) to form a water level monitoring network. The data acquisition module collects water level data from each sensor in real time, with an adjustable sampling frequency (e.g., 1-30 minutes / time). The wireless transmission module uploads the water level data collected by the data acquisition module to the data processing module via LoRa or 5G. In this embodiment, the data processing module has a memory and a processor. The memory stores a computer program that can be executed by the processor. When the computer program is executed, it implements the steps of the method for monitoring water level and assisting in construction scheduling of the marine intertidal photovoltaic project.
[0027] Furthermore, although the invention has been described in the context of functional modules, it should be understood that, unless otherwise stated, one or more of the aforementioned functions and / or features may be integrated into a single physical device and / or software module, or one or more functions and / or features may be implemented in a separate physical device or software module. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding the invention. Rather, given the properties, functions, and internal relationships of the various functional modules in the apparatus disclosed herein, the actual implementation of the module will be understood within the scope of conventional skill of an engineer. Therefore, those skilled in the art can implement the invention as set forth in the claims using ordinary techniques without excessive experimentation. It is also understood that the specific concepts disclosed are merely illustrative and not intended to limit the scope of the invention, which is determined by the full scope of the appended claims and their equivalents.
[0028] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0029] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.
[0030] More specific examples (a non-exhaustive list) of computer-readable media include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the aforementioned program can be printed, because the aforementioned program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.
[0031] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.
[0032] In the foregoing description of this specification, references to terms such as "one embodiment," "another embodiment," or "some embodiments" indicate that a specific feature, structure, material, or characteristic described in connection with an embodiment or example is included in at least one embodiment or example of the present invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.
[0033] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
[0034] The above is a detailed description of the preferred embodiments of the present invention. However, the present invention is not limited to the above embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention. All such equivalent modifications or substitutions are included within the scope defined by the claims of this application.
Claims
1. A method for monitoring water level and assisting in construction scheduling for offshore intertidal photovoltaic projects, characterized in that, include: The water level monitoring network is equipped with multiple water level sensors installed in the construction area of the photovoltaic project. The water level monitoring network is used to acquire water level monitoring data at regular intervals. A full-field water level distribution map is generated based on water level monitoring data from the water level monitoring network. Based on water level monitoring data from multiple consecutive times between the current time t and time tk, tidal periodicity characteristics are extracted. By inputting water level monitoring data and tidal periodicity characteristics from multiple consecutive moments into a trained tidal prediction model, the trend of water level changes within a preset time period can be predicted. Construction schedules are planned based on the water level change trends over a predetermined time period.
2. The method for monitoring water level and assisting in construction scheduling for offshore intertidal photovoltaic projects according to claim 1, characterized in that: The water level sensors are deployed in the photovoltaic project construction area based on geological survey data, covering key areas of the intertidal topography.
3. The method for water level monitoring and construction scheduling assistance for offshore intertidal photovoltaic projects according to claim 1, characterized in that, The construction scheduling based on the water level change trend within a preset future time period includes: In the material transportation process, the transport ships are arranged to enter the site fully loaded with materials during the high tide window, ensuring sufficient water depth in the channel, and vehicles are organized to transfer materials on the mudflats or near the shore during the low tide period. In terms of construction, manpower and machinery are concentrated during low tide; during high tide, the focus is on transporting materials.
4. A device for monitoring water level and assisting in construction scheduling for an intertidal photovoltaic project at sea, characterized in that, include: The data acquisition module is used to periodically acquire water level monitoring data from the water level monitoring network, which has multiple water level sensors installed in the construction area of the photovoltaic project. The heat map generation module is used to generate a full-field water level distribution map based on water level monitoring data from the water level monitoring network. The periodicity extraction module is used to extract tidal periodicity features based on water level monitoring data from multiple consecutive times between the current time t and time tk. The trend prediction module is used to input water level monitoring data and tidal periodicity characteristics from multiple consecutive time periods into a trained tidal prediction model to predict the water level change trend within a preset time period in the future. The construction scheduling module is used to schedule construction based on the water level change trend within a preset time period.
5. A storage medium having a computer program stored thereon that can be executed by a processor, characterized in that, When the computer program is executed, it implements the steps of the method for monitoring water level and assisting in construction scheduling of marine intertidal photovoltaic projects as described in any one of claims 1 to 3.
6. A water level monitoring and construction scheduling auxiliary system, characterized in that, include: Multiple water level sensors were installed in the construction area of the photovoltaic project; The data acquisition module is used to collect water level data from each water level sensor in real time. The wireless transmission module is used to wirelessly transmit the water level data collected by the data acquisition module to the data processing module. The data processing module has a memory and a processor. The memory stores a computer program that can be executed by the processor. When the computer program is executed, it implements the steps of the method for water level monitoring and construction scheduling assistance for marine intertidal photovoltaic projects as described in any one of claims 1 to 3.