Digital twin visual irrigation management platform

Abstract

The application relates to a digital twin visualized irrigation area management platform, which comprises an irrigation area partition module, a digital twin model establishment module and a data anomaly monitoring module, is used for monitoring data anomalies of a sub-digital twin area, marking a sub-digital twin area with data anomalies, simultaneously sending associated data of the sub-digital twin area marked as having data anomalies to an administrator IP and a visualized display module. In one aspect, the target irrigation area is partitioned to obtain a plurality of different sub-irrigation areas, a sub-digital twin model is established for the sub-irrigation areas, the model can be improved in pertinence, and the model establishment can be accelerated to a certain extent; in addition, the data anomaly detection module is arranged, can monitor data anomalies of the sub-digital twin area, is beneficial to the management personnel to master the abnormal data and then perform targeted processing; the visualized display module is further arranged, can digitally display the irrigation area, and is convenient for the management personnel to digitally manage the irrigation area.

Description

Technical Field

[0001] This invention relates to the field of irrigation district digitalization technology, and in particular to a digital twin visualization irrigation district management platform. Background Technology

[0002] An irrigation district refers to an area where lakes, river sections, or groundwater sources within a certain range are irrigated as a whole, based on specific hydrological, geomorphological, and climatic conditions, in the development and utilization of water resources.

[0003] The existing irrigation district management method often relies on managers to manage the irrigation district based on data collected by relevant sensors deployed in the irrigation district. Due to the massive amount of data, on the one hand, managers need to have a high level of irrigation district construction skills, and on the other hand, the large amount of data makes the workload of relevant personnel huge. They not only need to use experience to filter out some abnormal data, but also need to coordinate the massive amount of irrigation district data. These factors have seriously restricted the development of irrigation districts.

[0004] With the deepening of modernization, many irrigation districts have implemented digital construction. However, most of the current digital construction of irrigation districts in the market is still focused on how to establish relevant digital models of irrigation districts through reasonable modeling software. How to form a fully functional irrigation district management platform based on the relevant digital models is an urgent problem to be solved in the market today. Summary of the Invention

[0005] The purpose of this invention is to at least address one of the shortcomings of the prior art and provide a digital twin visualization irrigation district management platform.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] Specifically, a digital twin-based visualized irrigation district management platform is proposed, including:

[0008] The irrigation area zoning module is used to obtain the uploaded zoning opinions and divide the target irrigation area into multiple target sub-irrigation areas based on the zoning opinions.

[0009] The data acquisition module is used to collect relevant data from the target sub-irrigation area;

[0010] The digital twin model building module is used to build a digital twin model based on the relevant data of the target sub-irrigation area to form a sub-digital twin region associated with the target sub-irrigation area;

[0011] The data anomaly monitoring module is used to monitor data anomalies in sub-digital twin areas, mark sub-digital twin areas with data anomalies, and send the associated data of the marked sub-digital twin areas to the administrator IP.

[0012] The visualization module is used to display all sub-digital twin regions in 3D and to distinguish sub-digital twin regions marked as having data anomalies.

[0013] Furthermore, specifically, the uploaded zoning opinions are obtained by pre-dividing the target irrigation area's digital map based on pre-division by engineers or by dividing the map according to a map division algorithm.

[0014] Furthermore, specifically, the process of establishing the sub-digital twin region includes,

[0015] Randomly select any physical quantity from the relevant data as the basis physical quantity, calculate the arithmetic mean of the basis physical quantity in each target sub-irrigation area, use the arithmetic mean of the basis physical quantity as the heat threshold, randomly select any target sub-irrigation area as the evaluation sub-irrigation area, record the moment when the basis physical quantity in the evaluation sub-irrigation area first exceeds the heat threshold as the first moment, and record the moment when the basis physical quantity in the evaluation sub-irrigation area first falls below the heat threshold after the first moment as the second moment, and determine the heat time interval with the first moment and the second moment;

[0016] Find the region for each target sub-irrigation area where the arithmetic mean of the physical quantities associated with it within the heat time interval is not less than half of the heat threshold. Then, establish a digital twin model for the target sub-irrigation area based on the relevant data and mature algorithms to form a sub-digital twin region associated with the target sub-irrigation area.

[0017] Furthermore, specifically, the process of monitoring data anomalies in the sub-digital twin region includes,

[0018] For any data item in the sub-digital twin region;

[0019] Within a preset period T, multiple target data points are randomly selected from the time interval (t, t+NT), where t is the starting time of sampling and N is a positive integer.

[0020] By establishing a coordinate system with time as the horizontal axis, the target data value as the vertical axis, and (t, 0) as the origin, a two-dimensional coordinate system with multiple discrete points will be obtained. The horizontal coordinates of the discrete points are located in the range of (t, t+NT).

[0021] The discrete points are fitted using a fitting algorithm to obtain a fitted line, which is then used as a criterion line for judgment.

[0022] The target data within any sampling period (t+NT, t+2NT) is judged using the aforementioned judgment standard. The judgment process includes:

[0023] The judgment standard line is shifted by N periods to the coordinate system range corresponding to the sampling period (t+NT, t+2NT);

[0024] Calculate the shortest distance between each discrete point corresponding to the sampled target data within the range (t+NT, t+2NT) and the translated judgment standard line to obtain the shortest distance dataset. Count the number of data points in the shortest distance dataset that are greater than the first threshold.

[0025] Determine whether the number of data items is greater than the second threshold. If so, determine that the target data has data anomalies. Otherwise, determine that the target data does not have data anomalies. If any data item in the sub-digital twin region has data anomalies, determine that the sub-digital twin region has data anomalies.

[0026] The first and second thresholds are set manually and are associated with the data type of the target data.

[0027] Furthermore, specifically, digital tools, including GIS, CAD, and related software, are used to create digital models of the intended digital twin region. These related software programs include MATLAB, Python, Visual Paradigm, and ERwin. The digital models include digital elevation models, hydrological models, hydrodynamic models, and water quality models. Sub-digital twin regions are then formed based on these digital models.

[0028] Furthermore, specifically, the visualization module is built based on modeling software and mapping software. The modeling software includes any one of SketchUp, Rhino, and 3ds Max, and the mapping software includes any one of Amap, Baidu Maps, and D3.

[0029] Furthermore, specifically, the relevant data includes the geographical location of the irrigation area, the area of ​​the irrigation area, the location of the canal system, the hydrological data of the reservoir, environmental data such as soil, vegetation, meteorology, and hydrology of the irrigation area, as well as data on farmers' planting and water use.

[0030] The beneficial effects of this invention are as follows:

[0031] This invention proposes a digital twin visualization irrigation district management platform. Firstly, it divides the target irrigation district into multiple sub-irrigation districts, and then establishes sub-digital twin models for each sub-irrigation district, improving the model's relevance and accelerating its creation to some extent. Secondly, it includes a data anomaly detection module to monitor data anomalies in the sub-digital twin areas, enabling managers to understand and address abnormal data effectively. Finally, it includes a visualization module to digitally display the irrigation district, facilitating digital management by administrators. Attached Figure Description

[0032] The above and other features of this disclosure will become more apparent from the detailed description of the embodiments illustrated in conjunction with the accompanying drawings. In the accompanying drawings, the same reference numerals denote the same or similar elements. Obviously, the drawings described below are merely some embodiments of this disclosure. For those skilled in the art, other drawings can be obtained from these drawings without any creative effort. In the drawings:

[0033] Figure 1 The diagram shown is a structural block diagram of the digital twin visualization irrigation district management platform of the present invention. Detailed Implementation

[0034] The following will provide a clear and complete description of the concept, specific structure, and technical effects of the present invention in conjunction with the embodiments and accompanying drawings, so as to fully understand the purpose, solution, and effects of the present invention. It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. The same reference numerals used throughout the accompanying drawings indicate the same or similar parts.

[0035] Reference Figure 1 Example 1: This invention proposes a digital twin-based visualized irrigation district management platform, comprising:

[0036] The irrigation area zoning module 100 is used to obtain the uploaded zoning opinions and divide the target irrigation area into multiple target sub-irrigation areas based on the zoning opinions.

[0037] Data acquisition module 200 is used to collect relevant data of the target sub-irrigation area;

[0038] The digital twin model building module 300 is used to build a digital twin model based on the relevant data of the target sub-irrigation area to form a sub-digital twin region associated with the target sub-irrigation area;

[0039] The data anomaly monitoring module 400 is used to monitor data anomalies in sub-digital twin areas, mark sub-digital twin areas with data anomalies, and send the associated data of the marked sub-digital twin areas with data anomalies to the administrator IP.

[0040] The visualization module 500 is used to display all sub-digital twin regions in 3D and to distinguish sub-digital twin regions marked as having data anomalies.

[0041] In this preferred embodiment, the target irrigation area is divided into multiple sub-irrigation areas, and a sub-digital twin model is established for each sub-irrigation area. This improves the model's relevance and accelerates its establishment to some extent. In addition, a data anomaly detection module is provided to monitor data anomalies in the sub-digital twin areas, which helps managers to understand and address abnormal data. Furthermore, a visualization module is provided to digitally display the irrigation area, facilitating digital management of the irrigation area by managers.

[0042] In a preferred embodiment of the present invention, the uploaded zoning opinions are obtained by pre-dividing the target irrigation area by an engineer or by dividing the digital map of the target irrigation area according to a map division algorithm.

[0043] When dividing the irrigation area, you can consider directly adopting the relevant opinions of the engineers to divide the irrigation area into regions. The specific division criteria can be based on the function of the irrigation area or other characteristics. Alternatively, you can first divide the irrigation area into regional boundaries using a map division algorithm, and then combine the relevant opinions of the engineers to obtain a regional division result for the irrigation area.

[0044] In a preferred embodiment of the present invention, the process of establishing the sub-digital twin region specifically includes:

[0045] Randomly select any physical quantity from the relevant data as the basis physical quantity, calculate the arithmetic mean of the basis physical quantity in each target sub-irrigation area, use the arithmetic mean of the basis physical quantity as the heat threshold, randomly select any target sub-irrigation area as the evaluation sub-irrigation area, record the moment when the basis physical quantity in the evaluation sub-irrigation area first exceeds the heat threshold as the first moment, and record the moment when the basis physical quantity in the evaluation sub-irrigation area first falls below the heat threshold after the first moment as the second moment, and determine the heat time interval with the first moment and the second moment;

[0046] Find the region for each target sub-irrigation area where the arithmetic mean of the physical quantities associated with it within the heat time interval is not less than half of the heat threshold. Then, establish a digital twin model for the target sub-irrigation area based on the relevant data and mature algorithms to form a sub-digital twin region associated with the target sub-irrigation area.

[0047] In this preferred embodiment, considering that the digital twin region should be a region with large data volume variation, the target sub-irrigation area is processed by a set partitioning algorithm to obtain the region with large data volume variation as the sub-digital twin region. Then, a mature algorithm is used to model the sub-digital twin region to form a sub-digital twin region associated with the target sub-irrigation area. On the one hand, this can reduce the data processing volume of the digital twin model, and on the other hand, it can make the sub-digital twin region more accurate.

[0048] As a preferred embodiment of the present invention, specifically, the process of monitoring data anomalies in the sub-digital twin region includes,

[0049] For any data item in the sub-digital twin region;

[0050] Within a preset period T, multiple target data points are randomly selected from the time interval (t, t+NT), where t is the starting time of sampling and N is a positive integer.

[0051] By establishing a coordinate system with time as the horizontal axis, the target data value as the vertical axis, and (t, 0) as the origin, a two-dimensional coordinate system with multiple discrete points will be obtained. The horizontal coordinates of the discrete points are located in the range of (t, t+NT).

[0052] The discrete points are fitted using a fitting algorithm to obtain a fitted line, which is then used as a criterion line for judgment.

[0053] The target data within any sampling period (t+NT, t+2NT) is judged using the aforementioned judgment standard. The judgment process includes:

[0054] The judgment standard line is shifted by N periods to the coordinate system range corresponding to the sampling period (t+NT, t+2NT);

[0055] Calculate the shortest distance between each discrete point corresponding to the sampled target data within the range (t+NT, t+2NT) and the translated judgment standard line to obtain the shortest distance dataset. Count the number of data points in the shortest distance dataset that are greater than the first threshold.

[0056] Determine whether the number of data items is greater than the second threshold. If so, determine that the target data has data anomalies. Otherwise, determine that the target data does not have data anomalies. If any data item in the sub-digital twin region has data anomalies, determine that the sub-digital twin region has data anomalies.

[0057] The first and second thresholds are set manually and are associated with the data type of the target data. The first and second thresholds corresponding to different data types are determined in advance by relevant staff through simulation experiments.

[0058] In this preferred embodiment, by performing anomaly monitoring on relevant data in the sub-digital twin region in the above manner, it is possible to detect target data with abnormal conditions more accurately.

[0059] In a preferred embodiment of the present invention, specifically, a digital model is created for the intended digital twin region using digital tools, including GIS, CAD, and related software, such as MATLAB, Python, Visual Paradigm, and ERwin. The digital model includes a digital elevation model, a hydrological model, a hydrodynamic model, and a water quality model, and a sub-digital twin region is formed based on the digital model.

[0060] In a preferred embodiment of the present invention, the visualization module is constructed based on modeling software and map software. The modeling software includes any one of SketchUp, Rhino, and 3ds Max, and the map software includes any one of Amap, Baidu Map, and D3.

[0061] As a preferred embodiment of the present invention, the relevant data specifically includes the geographical location of the irrigation area, the area of ​​the irrigation area, the location of the canal system, the hydrological data of the reservoir, environmental data such as soil, vegetation, meteorology, and hydrology of the irrigation area, as well as data on the planting and water use of farmers.

[0062] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of the solution in this embodiment, depending on actual needs.

[0063] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0064] If the integrated module is implemented as a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or system capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0065] Although the description of the invention has been quite detailed and particularly of several described embodiments, it is not intended to limit it to any of these details or embodiments or any particular embodiment, but should be considered as providing a broad possible interpretation of the claims by referring to the appended claims and taking into account the prior art, thereby effectively covering the intended scope of the invention. Furthermore, the invention has been described above with respect to embodiments foreseeable by the inventors in order to provide a useful description, and non-substantial modifications to the invention that have not yet been foreseen may still represent equivalent modifications.

[0066] The above description is merely a preferred embodiment of the present invention. The present invention is not limited to the above-described embodiments. Any embodiment that achieves the technical effects of the present invention using the same means should fall within the protection scope of the present invention. Within the protection scope of the present invention, various modifications and variations can be made to the technical solutions and / or implementation methods.

Claims

1. A digital twin-based visualized irrigation district management platform system, characterized in that: include: The irrigation area zoning module is used to obtain the uploaded zoning opinions and divide the target irrigation area into multiple target sub-irrigation areas based on the zoning opinions. The data acquisition module is used to collect relevant data from the target sub-irrigation area; The digital twin model building module is used to build a digital twin model based on the relevant data of the target sub-irrigation area to form a sub-digital twin region associated with the target sub-irrigation area; The data anomaly monitoring module is used to monitor data anomalies in sub-digital twin areas, mark sub-digital twin areas with data anomalies, and send the associated data of the marked sub-digital twin areas to the administrator IP. The visualization module is used to display all sub-digital twin regions in 3D and to distinguish sub-digital twin regions marked as having data anomalies. Specifically, the process of establishing the sub-digital twin region includes, Randomly select any physical quantity from the relevant data as the basis physical quantity, calculate the arithmetic mean of the basis physical quantity in each target sub-irrigation area, use the arithmetic mean of the basis physical quantity as the heat threshold, randomly select any target sub-irrigation area as the evaluation sub-irrigation area, record the moment when the basis physical quantity in the evaluation sub-irrigation area first exceeds the heat threshold as the first moment, and record the moment when the basis physical quantity in the evaluation sub-irrigation area first falls below the heat threshold after the first moment as the second moment, and determine the heat time interval with the first moment and the second moment; Find the region where the arithmetic mean of the physical quantities associated with each target sub-irrigation area within the heat time interval is not less than half of the heat threshold as the intended digital twin region of the target sub-irrigation area, and build a digital twin model of the intended digital twin region based on the relevant data and mature algorithms to form a sub-digital twin region associated with the target sub-irrigation area. Specifically, the process of monitoring data anomalies in the sub-digital twin region includes, For any data item in the sub-digital twin region; Within a preset period T, multiple target data points are randomly selected from the time interval (t, t+NT), where t is the starting time of sampling and N is a positive integer. By establishing a coordinate system with time as the horizontal axis, the target data value as the vertical axis, and (t, 0) as the origin, a two-dimensional coordinate system with multiple discrete points will be obtained. The horizontal coordinates of the discrete points are located in the range of (t, t+NT). The discrete points are fitted using a fitting algorithm to obtain a fitted line, which is then used as a criterion line for judgment. The target data within any sampling period (t+NT, t+2NT) is judged using the aforementioned judgment standard. The judgment process includes: The judgment standard line is shifted by a distance of N cycles to the coordinate system range corresponding to the sampling period (t+NT, t+2NT); Calculate the shortest distance between each discrete point corresponding to the sampled target data within the range (t+NT, t+2NT) and the translated judgment standard line to obtain the shortest distance dataset. Count the number of data points in the shortest distance dataset that are greater than the first threshold. Determine whether the number of data items is greater than the second threshold. If so, determine that the target data has data anomalies. Otherwise, determine that the target data does not have data anomalies. If any data item in the sub-digital twin region has data anomalies, determine that the sub-digital twin region has data anomalies. The first and second thresholds are set manually and are associated with the data type of the target data.

2. The digital twin visualization irrigation district management platform system according to claim 1, characterized in that, Specifically, the uploaded zoning opinions are obtained by pre-dividing the target irrigation area based on the engineer's work or by dividing the digital map of the target irrigation area according to a map division algorithm.

3. The digital twin visualization irrigation district management platform system according to claim 1, characterized in that, Specifically, digital tools, including GIS, CAD, and related software, are used to create digital models of the intended digital twin region. These related software programs include MATLAB, Python, Visual Paradigm, and ERwin. The digital models include digital elevation models, hydrological models, hydrodynamic models, and water quality models. Sub-digital twin regions are then formed based on these digital models.

4. The digital twin visualization irrigation district management platform system according to claim 1, characterized in that, Specifically, the visualization module is built based on modeling software and mapping software. The modeling software includes any one of SketchUp, Rhino, and 3ds Max, and the mapping software includes any one of Amap, Baidu Maps, and D3.

5. The digital twin visualization irrigation district management platform system according to claim 1, characterized in that, Specifically, the relevant data includes the geographical location of the irrigation area, the area of ​​the irrigation area, the location of the canal system, the hydrological data of the reservoir, the soil, vegetation, meteorological and hydrological environmental data of the irrigation area, and the planting and water use data of farmers.

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