Hydropower station garden type plant construction simulation system based on data analysis

Abstract

The invention discloses a hydropower station garden type plant construction simulation system based on data analysis. The system comprises the following steps: collecting various data in a construction process in real time and then carrying out data preprocessing; establishing an intelligent evaluation analysis model, inputting the preprocessed data, and outputting an intelligent evaluation value; according to the intelligent evaluation value, completing whether the construction under the current progress meets the standard or not, and after the construction meets the standard, sending each current progress report to simulate the construction process; the simulation construction process is displayed to a user through a graphical interface, simulation and optimization of the whole construction process of the garden type factory building of the hydropower station are achieved, and the accuracy and efficiency of construction simulation are improved through the advanced data analysis technology.

Description

Technical Field

[0001] The present invention relates to the technical field of construction and engineering simulation, and in particular to a data analysis-based garden-style plant construction simulation system for a hydropower station. Background Art

[0002] The construction of a hydropower plant involves numerous complex engineering steps. As a new design concept, the garden-style plant emphasizes harmony with the natural environment. However, this design concept brings new challenges during the construction process, such as optimizing construction plans, rationally allocating resources, and ensuring construction safety.

[0003] Existing construction simulation systems are often unable to effectively handle these complex situations, lack sufficient consideration of environmental factors and intelligent analysis of real-time data, and are unable to control the overall construction quality. Summary of the Invention

[0004] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of this application to avoid obscuring the purpose of this section, the abstract and the title of the invention, and such simplifications or omissions should not be used to limit the scope of the present invention.

[0005] In view of the above problems existing in the existing construction simulation system, the present invention is proposed.

[0006] Therefore, the technical problem solved by the present invention is to solve the problem that the existing construction simulation system lacks sufficient consideration of environmental factors and intelligent analysis of real-time data, and is unable to control the overall construction quality.

[0007] To solve the above technical problems, the present invention provides the following technical solutions: a data analysis-based garden-style plant construction simulation system for a hydropower station, comprising the following components: a multidimensional data acquisition module, for real-time collection of various data during the construction process; an intelligent data processing module, wirelessly connected to the multidimensional data acquisition module, and performing data preprocessing after acquiring the collected data; an intelligent data analysis module, data-connected to the intelligent data processing module, acquiring preprocessed data, establishing an intelligent evaluation analysis model, inputting the preprocessed data, and outputting an intelligent evaluation value; an intelligent qualified judgment module, data-connected to the intelligent data analysis module, determining whether the construction under the current progress meets the standards based on the intelligent evaluation value, and sending the current progress reports to the construction process simulation module when it meets the standards; a construction process simulation module, data-connected to the intelligent qualified judgment module, simulating the construction process based on the current progress reports; a visualization display module, signal-connected to the construction process simulation module, and displaying the simulated construction process to the user through a graphical interface.

[0008] As a preferred solution of the hydropower station garden-style plant construction simulation system based on data analysis described in the present invention, the various data collected by the multi-dimensional data acquisition module specifically include: environmental coverage percentage data, construction progress percentage data and resource consumption percentage data.

[0009] As a preferred solution of the hydropower station garden-style plant construction simulation system based on data analysis described in the present invention, the data preprocessing steps performed by the intelligent data processing module specifically include: data conversion, data integration and data smoothing.

[0010] As a preferred solution of the hydropower station garden-style plant construction simulation system based on data analysis described in the present invention, the intelligent data analysis module obtains preprocessed data, establishes the intelligent evaluation analysis model, inputs the preprocessed data, and outputs the intelligent evaluation value, which specifically includes the following steps: S1: establishing a first intelligent evaluation analysis model; S2: inputting the preprocessed data, and outputting the first intelligent evaluation value; S3: establishing a second intelligent evaluation analysis model; S4: inputting the preprocessed data, and outputting the second intelligent evaluation value.

[0011] As a preferred solution of the hydropower station garden-style plant construction simulation system based on data analysis according to the present invention, the first intelligent evaluation and analysis model established is specifically:

[0012]

[0013] Among them, δ1 is the first intelligent evaluation value, α is the construction progress percentage data, ε is the environmental coverage percentage data, β is the resource consumption percentage data, 1.09, 1.32 and -0.871 are adjustment constants, and dx is the integral operation.

[0014] As a preferred solution of the hydropower station garden-style plant construction simulation system based on data analysis according to the present invention, the second intelligent evaluation and analysis model established is specifically:

[0015]

[0016] Among them, δ2 is the second intelligent evaluation value, α is the construction progress percentage data, ε is the environmental coverage percentage data, β is the resource consumption percentage data, 1.68, 0.7, 1.304 and -1.25 are adjustment constants, and dx is the integral operation.

[0017] As a preferred solution of the hydropower station garden-style powerhouse construction simulation system based on data analysis according to the present invention, the intelligent qualification determination module determines whether the construction under the current progress meets the standards based on the intelligent evaluation value, and determines that the current construction meets the standards when the following formula is met:

[0018] {δ1, δ2} min ≥0.4.

[0019] Beneficial effects of the present invention: The present invention provides a hydropower station garden-style plant construction simulation system based on data analysis. By integrating modules such as multi-dimensional data acquisition, intelligent data processing, construction process simulation, and visual display, the system realizes the simulation and optimization of the entire construction process of the hydropower station garden-style plant. By utilizing advanced data analysis technology, the accuracy and efficiency of the construction simulation are improved, and the problem that the existing construction simulation system lacks sufficient consideration of environmental factors and intelligent analysis of real-time data, and is unable to control the overall construction qualification, is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:

[0021] Figure 1 This is a system module diagram of the hydropower station garden-style plant construction simulation system based on data analysis provided by the present invention.

[0022] Figure 2 The intelligent data analysis module provided by the present invention obtains preprocessed data, establishes an intelligent evaluation analysis model, inputs the preprocessed data, and outputs an intelligent evaluation value. DETAILED DESCRIPTION

[0023] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0024] Existing construction simulation systems are often unable to effectively handle these complex situations, lack sufficient consideration of environmental factors and intelligent analysis of real-time data, and are unable to control the overall construction quality.

[0025] Therefore, please refer to Figure 1 The present invention provides a hydropower station garden-style plant construction simulation system based on data analysis, including the following components:

[0026] Multi-dimensional data acquisition module 100, used for real-time acquisition of various data during the construction process;

[0027] The intelligent data processing module 200 is wirelessly connected to the multi-dimensional data acquisition module 100 to obtain the collected data and perform data preprocessing;

[0028] The intelligent data analysis module 300 is connected to the intelligent data processing module 200 to obtain pre-processed data, establish an intelligent evaluation analysis model, input the pre-processed data, and output an intelligent evaluation value;

[0029] The intelligent qualification determination module 400 is connected to the intelligent data analysis module 300, and determines whether the construction at the current progress meets the standards based on the intelligent evaluation value. If the construction meets the standards, the current progress report is sent to the construction process simulation module 500;

[0030] The construction process simulation module 500 is connected to the intelligent qualification determination module 400 to simulate the construction process based on the current progress reports;

[0031] The visualization display module 600 is connected to the construction process simulation module 500 by signal, and displays the simulated construction process to the user through a graphical interface.

[0032] Specifically, the various data collected by the multi-dimensional data collection module 100 include: environmental coverage percentage data, construction progress percentage data, and resource consumption percentage data.

[0033] It should be noted that:

[0034] 1. Environmental coverage percentage data collection submodule:

[0035] Optical sensor: Used to detect vegetation coverage at the construction site. By analyzing remote sensing images or image data captured by on-site cameras, it calculates the percentage of green vegetation in the entire construction site.

[0036] Ground detector: used to measure soil coverage, detect soil type and distribution through sensors, and calculate soil coverage.

[0037] Aircraft monitoring: Using high-resolution cameras mounted on drones, regular flights are used to collect image data of the construction site and its surroundings and analyze environmental changes.

[0038] 2. Construction progress percentage data collection submodule:

[0039] RFID (Radio Frequency Identification) Tags: RFID tags are installed on construction materials and equipment, and their location and status are tracked in real time through RFID readers to determine construction progress.

[0040] Barcode scanner: Scan the barcodes on construction drawings or task orders to record the amount of work completed and calculate the construction progress percentage.

[0041] Sensor network: Deploy a series of sensors, such as vibration sensors and temperature sensors, to monitor physical changes during the construction process and compare them with the preset construction progress model.

[0042] 3. Resource consumption percentage data collection submodule:

[0043] Material consumption sensor: Installed on the material conveyor belt or storage area, it monitors material consumption in real time and calculates the percentage of resource consumption.

[0044] Energy monitors: These are installed on-site in power grids, fuel systems, etc. to monitor energy consumption, such as electricity and fuel consumption.

[0045] Labor management system: Record workers' working hours and calculate labor resource consumption through electronic attendance systems, construction site access control systems, etc.

[0046] Additionally, the technical details of the multi-dimensional data acquisition module 100 also include:

[0047] 1. Data collection frequency:

[0048] Different data collection frequencies are set according to construction needs and environmental changes, such as collecting environmental data every half hour, construction progress data every hour, and resource consumption data every shift.

[0049] 2. Data synchronization and transmission:

[0050] Use wireless network technologies (such as Wi-Fi, 4G / 5G) to achieve real-time synchronization and transmission of data.

[0051] The collected data is encrypted to ensure the security of data transmission.

[0052] 3. Data preprocessing:

[0053] Preliminary preprocessing is performed after data collection to reduce data redundancy and improve data quality.

[0054] Edge computing technology is used to analyze some data and reduce the amount of data that needs to be transmitted to the central server.

[0055] 4. Data storage and backup:

[0056] The collected data is stored in the local database and remotely backed up to prevent data loss.

[0057] Perform regular maintenance on stored data, such as data compression and database optimization.

[0058] Specifically, the data preprocessing steps performed by the intelligent data processing module 200 include: data conversion, data integration and data smoothing.

[0059] It should be noted that:

[0060] 1. Data cleaning:

[0061] De-duplicate: Identify and remove duplicate observations.

[0062] Handling missing values: Fill in or delete missing data. You can use the mean, median, mode, or use a model to predict missing values.

[0063] Removing outliers: Identifying and handling outliers can be done through various methods such as IQR (interquartile range), Z-score, etc.

[0064] 2. Data conversion:

[0065] Data normalization: Convert the data to a format with zero mean and unit variance, such as using Z-score normalization.

[0066] Data normalization: Scale the data to a fixed range, such as between 0 and 1, such as using Min-Max normalization.

[0067] Encoding categorical data: Convert categorical variables to numerical form, for example using one-hot encoding or label encoding.

[0068] 3. Data Integration

[0069] Merge sets: Combine data sets from different sources for unified analysis.

[0070] Data alignment: Align data from different datasets to the same time point or spatial location.

[0071] 4. Data smoothing:

[0072] Denoising: Applying filters or smoothing techniques to reduce random noise in data.

[0073] Data interpolation: Filling in missing points in a data series to smooth the data.

[0074] For further information, see Figure 2The intelligent data analysis module 300 obtains the pre-processed data, establishes an intelligent evaluation analysis model, inputs the pre-processed data, and outputs the intelligent evaluation value, which specifically includes the following steps:

[0075] S1: Establish the first intelligent evaluation and analysis model;

[0076] S2: Input the pre-processed data and output the first intelligent evaluation value;

[0077] S3: Establishing a second intelligent evaluation and analysis model;

[0078] S4: Input the pre-processed data and output the second intelligent evaluation value.

[0079] Furthermore, the first intelligent evaluation and analysis model established is specifically as follows:

[0080]

[0081] Among them, δ1 is the first intelligent evaluation value, α is the construction progress percentage data, ε is the environmental coverage percentage data, β is the resource consumption percentage data, 1.09, 1.32 and -0.871 are adjustment constants, and dx is the integral operation.

[0082] Furthermore, the second intelligent evaluation and analysis model established is specifically as follows:

[0083]

[0084] Among them, δ2 is the second intelligent evaluation value, α is the construction progress percentage data, ε is the environmental coverage percentage data, β is the resource consumption percentage data, 1.68, 0.7, 1.304 and -1.25 are adjustment constants, and dx is the integral operation.

[0085] Specifically, the intelligent qualification determination module 400 determines whether the construction under the current progress meets the standards based on the intelligent evaluation value. If the following formula is met, the current construction is determined to be in compliance with the standards:

[0086] {δ1, δ2} min ≥0.4.

[0087] It should be noted that the choice of 0.4 is based on actual conditions. When the environmental coverage percentage data is 0.4, the construction progress percentage data is 1, and the resource consumption percentage data is 1, it is a boundary line. If it is higher than this threshold, it is defined as qualified construction.

[0088] It should be noted that the construction process simulation module 500 simulates the construction process based on the current progress reports, specifically including the following technologies:

[0089] Composition of the construction process simulation module 500

[0090] 1. Model construction submodule:

[0091] Using Building Information Modeling (BIM) technology, a three-dimensional model of the hydropower station's garden-style powerhouse was constructed, including details such as the structural frame, equipment installation, and decoration.

[0092] The model includes various resources and activities in the construction process, such as materials, equipment, manpower, etc.

[0093] 2. Simulation engine submodule:

[0094] Use advanced simulation engines, such as physics-based simulation engines or discrete event simulation engines, to simulate various dynamic changes in the construction process.

[0095] The simulation engine is capable of handling complex construction logic, such as construction sequence, resource allocation, and progress control.

[0096] 3. Data interface submodule:

[0097] Provide a data interface with the intelligent qualification determination module 400 to receive the evaluation results of the intelligent qualification determination module, such as construction quality, safety risks, etc.

[0098] According to the feedback from the intelligent qualification judgment module, the parameters in the simulation model, such as construction speed and resource consumption, are adjusted.

[0099] Technical details of the Construction Process Simulation Module 500

[0100] 1. Simulation process:

[0101] According to the current construction progress report, the construction process simulation module 500 starts to simulate the construction process.

[0102] The simulation module is executed according to the preset construction plan, while taking into account the uncertainties in actual construction, such as weather changes and resource delays.

[0103] 2. Real-time adjustment:

[0104] During the simulation process, the construction plan is adjusted in real time according to the evaluation results of the intelligent qualification determination module 400.

[0105] If the intelligent qualification module finds potential problems, such as construction quality not meeting standards, the simulation module will adjust the corresponding construction parameters and simulate the corrected construction process.

[0106] 3. Progress monitoring:

[0107] The construction process simulation module 500 monitors the construction progress in real time and compares it with the actual construction progress.

[0108] Through progress monitoring, problems such as construction delays can be discovered in a timely manner and measures can be taken to make adjustments.

[0109] 4. Results display:

[0110] The simulation module displays the results of the simulated construction process to the user in a visual form, such as progress bar, construction animation, etc.

[0111] The user can understand the real-time status of the construction through the result display, as well as the evaluation suggestions provided by the intelligent qualification determination module 400.

[0112] Through the data connection and interaction between the construction process simulation module 500 and the intelligent qualification determination module 400, the entire system can intelligently simulate and optimize the construction process of the hydropower station's garden-style powerhouse, improving construction efficiency and quality while reducing risks. This integrated construction simulation system is significantly innovative compared to existing technologies and can provide strong technical support for hydropower station construction.

[0113] Additionally, the visualization module 600 is tightly integrated with the construction process simulation module 500. It is responsible for displaying the simulated construction process to the user through a graphical interface, enabling the user to intuitively understand and monitor the construction progress. The following are the specific technical details of the visualization module 600:

[0114] Composition of the Visual Display Module 600

[0115] 1. Graphical interface design submodule:

[0116] Design a user-friendly graphical interface, including menus, toolbars, status bars, etc., so that users can easily access and operate simulation results.

[0117] Provides multiple view modes, such as 2D plan view, 3D model view, section view, etc., to meet the needs of different users.

[0118] 2. Data visualization submodule:

[0119] The data generated by the construction process simulation module 500 is converted into visual graphic elements, such as progress bars, curve graphs, color coding, etc.

[0120] Use charts and graphs to present key performance indicators (KPIs), such as construction progress, resource consumption, cost budget, etc.

[0121] 3. Interactive display submodule:

[0122] Implement interactive functions with users, such as clicking, dragging, and zooming, so that users can explore simulation results more deeply.

[0123] Provides animation demonstration of the simulation process, allowing users to observe the construction process dynamically.

[0124] Technical details of the visual display module 600

[0125] 1. Signal connection and data synchronization:

[0126] Establish a real-time signal connection with the construction process simulation module 500 to ensure real-time synchronization of data.

[0127] Use unified data exchange formats and protocols, such as JSON or XML, to facilitate data transmission and parsing.

[0128] 2. Graphics rendering technology:

[0129] Use graphics rendering technologies such as OpenGL or DirectX to achieve high-quality graphics display.

[0130] Optimize 3D models, such as using LOD (Level of Detail Distance) technology, to improve rendering performance.

[0131] 3. Enhanced visualization effects:

[0132] Through technologies such as shaders, texture mapping, and lighting models, visualization effects are enhanced to make graphics more realistic.

[0133] Use visualization enhancement techniques such as blur, shadows, reflections, etc. to enhance the user's visual experience.

[0134] 4. Optimization of user interaction experience:

[0135] Design intuitive operation processes and prompts to help users quickly understand and use the visual display module.

[0136] Provides a variety of customization options, such as color themes, chart types, data display formats, etc. to meet the needs of different users.

[0137] 5. Mobile and Web support:

[0138] Develop mobile applications or web applications so that users can access visualization results through mobile phones, tablets and other devices.

[0139] Ensure the compatibility and performance of the visualization module on different devices and browsers.

[0140] Through the visualization module 600, users can intuitively observe the various indicators and results of the construction process simulation, thereby better understanding the construction progress and making more reasonable decisions. This graphical display method not only improves user work efficiency, but also enhances user trust and satisfaction with the system.

[0141] In order to verify the technical effect of the present invention, the following simulation experiment is carried out:

[0142] Test verification process

[0143] Preparation stage:

[0144] A garden-style powerhouse project of a hydropower station under construction was selected as the test object.

[0145] Install a multi-dimensional data acquisition module to ensure real-time collection of data such as environmental coverage, construction progress, and resource consumption during the construction process.

[0146] Configure intelligent data processing modules to perform data preprocessing, including data conversion, data integration, and data smoothing.

[0147] Preparing an intelligent data analysis module includes establishing a first intelligent evaluation analysis model and a second intelligent evaluation analysis model.

[0148] Data collection phase:

[0149] During the construction process, data is continuously collected using the multi-dimensional data acquisition module.

[0150] At the end of each construction period (eg, every week or every two weeks), the collected data is recorded.

[0151] Data processing and analysis stage:

[0152] The collected data is input into the intelligent data processing module for preprocessing.

[0153] The preprocessed data is input into the intelligent data analysis module to obtain the intelligent evaluation value.

[0154] Simulation and evaluation phase:

[0155] Use the intelligent qualification determination module to determine whether the construction meets the standards based on the intelligent evaluation value.

[0156] Send qualified or unqualified construction progress reports to the construction process simulation module.

[0157] Use the visualization module to display simulation results.

[0158] Result recording and analysis phase:

[0159] Record the test data and fill in the test verification form.

[0160] Analyze data and evaluate the beneficial effects of the system.

[0161] Test Verification Form

[0162]

[0163]

[0164] Data Analysis:

[0165] By comparing the intelligent evaluation values of different construction cycles, we can analyze the impact of changes in the environment, progress and resource consumption during the construction process on the evaluation value.

[0166] Based on the construction qualification judgment, the effectiveness of the system in improving construction quality can be evaluated.

[0167] Through the analysis of the overall trend, it can be verified that the present invention has a beneficial effect in improving the accuracy and efficiency of construction simulation.

[0168] The present invention provides a hydropower station garden-style powerhouse construction simulation system based on data analysis. By integrating modules such as multi-dimensional data acquisition, intelligent data processing, construction process simulation, and visual display, the system realizes the simulation and optimization of the entire construction process of the hydropower station garden-style powerhouse. By utilizing advanced data analysis technology, the accuracy and efficiency of the construction simulation are improved, and the problem that the existing construction simulation system lacks sufficient consideration of environmental factors and intelligent analysis of real-time data, and is unable to control the overall construction qualification, is solved.

[0169] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. The hydropower station garden-style powerhouse construction simulation system based on data analysis is characterized by: Includes the following components: A multi-dimensional data acquisition module (100) is used to collect various data during the construction process in real time; An intelligent data processing module (200) is wirelessly connected to the multi-dimensional data acquisition module (100) to obtain the collected data and then perform data preprocessing; An intelligent data analysis module (300) is connected to the intelligent data processing module (200) to obtain pre-processed data, establish an intelligent evaluation analysis model, input various pre-processed data, and output an intelligent evaluation value; An intelligent qualification determination module (400) is connected to the intelligent data analysis module (300) for determining whether the construction at the current progress meets the standards based on the intelligent evaluation value, and when the construction meets the standards, the current progress reports are sent to the construction process simulation module (500); A construction process simulation module (500) is connected to the intelligent qualification determination module (400) and simulates the construction process according to the current progress reports; The visual display module (600) is connected to the construction process simulation module (500) by signal, and displays the simulated construction process to the user through a graphical interface.

2. The hydropower station garden-style plant construction simulation system based on data analysis according to claim 1 is characterized in that: The various data collected by the multi-dimensional data collection module (100) specifically include: environmental coverage percentage data, construction progress percentage data, and resource consumption percentage data.

3. The hydropower station garden-style plant construction simulation system based on data analysis according to claim 2 is characterized in that: The data preprocessing steps performed by the intelligent data processing module (200) specifically include: data conversion, data integration and data smoothing.

4. The hydropower station garden-style plant construction simulation system based on data analysis according to claim 3 is characterized in that: The intelligent data analysis module (300) acquires the pre-processed data, establishes the intelligent evaluation analysis model, inputs the pre-processed data, and outputs the intelligent evaluation value, specifically comprising the following steps: S1: Establish the first intelligent evaluation and analysis model; S2: Input the pre-processed data and output the first intelligent evaluation value; S3: Establishing a second intelligent evaluation and analysis model; S4: Input the pre-processed data and output the second intelligent evaluation value.

5. The hydropower station garden-style plant construction simulation system based on data analysis according to claim 4 is characterized in that: The first intelligent evaluation and analysis model established is specifically: Among them, δ1 is the first intelligent evaluation value, α is the construction progress percentage data, ε is the environmental coverage percentage data, β is the resource consumption percentage data, 1.09, 1.32 and -0.871 are adjustment constants, and dx is the integral operation.

6. The hydropower station garden-style plant construction simulation system based on data analysis according to claim 5 is characterized in that: The second intelligent evaluation and analysis model established is specifically: Among them, δ2 is the second intelligent evaluation value, α is the construction progress percentage data, ε is the environmental coverage percentage data, β is the resource consumption percentage data, 1.68, 0.7, 1.304 and -1.25 are adjustment constants, and dx is the integral operation.

7. The hydropower station garden-style plant construction simulation system based on data analysis according to claim 6 is characterized in that: The intelligent qualification determination module (400) determines whether the construction under the current progress meets the standards based on the intelligent evaluation value, and determines that the current construction meets the standards when the following formula is met: {δ1, δ2} min ≥0.4。

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