A soil and water conservation monitoring system and method based on internet of things technology

Abstract

The application discloses a kind of water and soil conservation monitoring system and method based on internet of things technology, comprising: data automatic acquisition module includes soil moisture data acquisition, weather data acquisition, rainfall data acquisition;Data processing and output module processes and outputs the various monitoring data that has been collected into warehouse;Remote data upload module, monitoring data is uploaded to remote data center layer through network, and the data of local database is written into monitoring station database;Equipment state monitoring module, equipment operating state parameter is collected, and the reliable operation of equipment is guaranteed;The application has the advantages that: the overall structure of the system and each system function module are designed, and four major function modules of automatic data acquisition, data processing and output, remote data upload and equipment state monitoring are analyzed and designed in detail;Automatic technology and system integration technology are used, and water and soil conservation automatic monitoring information system is realized.

Description

Technical Field

[0001] This invention relates to the field of soil and water monitoring technology, specifically a soil and water conservation monitoring system and method based on Internet of Things (IoT) technology. Background Technology

[0002] The Internet of Things (IoT) is defined as a network technology that connects any object to the internet through information sensing devices such as RFID, infrared sensors, GPS, and laser scanners, according to agreed-upon protocols, to exchange information and communicate, thereby achieving intelligent identification, location, tracking, monitoring, and management. The core and foundation of IoT technology remains "Internet technology," but it is an extension and expansion of Internet technology, extending its user end to any object and communication between objects.

[0003] Soil and water conservation monitoring refers to the long-term investigation, observation, and analysis of the occurrence, development, hazards, and benefits of soil erosion. By understanding the types, intensity, and distribution characteristics of soil erosion, its hazards and impacts, its occurrence and development patterns, and its dynamic trends, soil and water conservation monitoring is of great significance for macro-level decision-making regarding comprehensive soil erosion control and ecological environment construction, as well as for the scientific, rational, and systematic deployment of various soil and water conservation measures.

[0004] The information disclosed in this background section is intended only to enhance the understanding of the overall background of the invention and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0005] The technical problem to be solved by this invention is to overcome the above-mentioned technical defects and provide a soil and water conservation monitoring system and method based on Internet of Things (IoT) technology. The overall structure of the system and the functional modules of each system are designed, and the four major functional modules of automatic data acquisition, data processing and output, remote data uploading and equipment status monitoring are analyzed and designed in detail. By using automation technology and system integration technology, an automatic soil and water conservation monitoring information system is realized.

[0006] To address the above problems, the technical solution of this invention is a soil and water conservation monitoring system based on Internet of Things (IoT) technology, comprising: The automatic data acquisition module includes soil moisture data acquisition, meteorological data acquisition, and rainfall data acquisition. It realizes the operation control of the data acquisition system, communication between the acquisition system and the host control computer, format conversion of the acquired data, and data storage. The data processing and output module processes and outputs various types of monitoring data that have been collected and stored, enabling data verification, display and printing, and generation of relevant business reports; The remote data upload module uploads monitoring data to the remote data center layer via the network and writes data from the local database into the monitoring station database. The equipment status monitoring module collects equipment operating status parameters to ensure reliable equipment operation.

[0007] Preferably, the system is based on the Microsoft .NET Framework, uses the ADO.NET interface to connect to the database, including opening the database, reading data from the database, modifying database data, storing data in a standardized manner through the database, and performing database backups periodically.

[0008] Preferably, the automatic data acquisition module includes setting data acquisition system operating parameters, controlling the data acquisition process, uploading and transmitting data, and converting and storing data; basic operations include setting device parameters, real-time data acquisition, and uploading historical data.

[0009] Preferably, the data processing and output module completes the querying and browsing of monitoring data in the local database, the output of business reports, and the backup of data; the basic operations include attribute data query, historical data query, data report output, report printing, and data backup.

[0010] Preferably, the remote data upload module includes a server-side web service submodule and a data upload client submodule; basic operations include remote data upload settings, uploading new data, and uploading historical data.

[0011] Preferably, the basic operations of the equipment status monitoring module include collecting equipment operating parameters, analyzing the collected element data sequence, and outputting or reporting equipment status.

[0012] Preferably, the system adopts a Client / Server architecture. The Client side implements functions such as data acquisition and control of automated monitoring equipment, data processing and output, local data storage, distributed remote data uploading, and equipment status monitoring. The Server side is an automated monitoring information system that acts as a Web server to publish Web Services for monitoring site clients to call, thereby realizing the remote distributed uploading of monitoring data.

[0013] As a preferred approach, the server-side data upload process includes: accepting WebServices call requests from the client, verifying user legitimacy, receiving monitoring data from the client, adjusting the data and writing it to the Oracle database, returning the upload operation result to the client, and writing the upload operation log to the system.

[0014] This invention also discloses a water and soil conservation monitoring method based on Internet of Things (IoT) technology, which, when applied to the above system, includes the following steps: Step 1: The automatic data acquisition module sends a data acquisition command, and the acquired data is formatted and stored in the database. Step 2: The data processing and output module selects the start and end points of the data time period, reads the database, uploads the data, generates data reports, and outputs the data. Step 3: The server side of the remote data upload module receives the method parameters of the called web service, performs data standardization verification on the DataSet to be imported into the database, writes the data from the DataSet to the Oracle database, and uploads log records; the client side constructs the SQL statement of the server side, constructs the DataSet to be uploaded, calls the public method of the server-side web service, and uploads log records.

[0015] The advantages of this invention compared to existing technologies are: 1. This invention adopts a modular design, dividing the functional modules to facilitate system expansion and maintenance. Modular design helps improve the reusability and maintainability of the system and reduces development costs.

[0016] 2. This invention adopts an open design and uses standardized interfaces and protocols to achieve data sharing and interoperability with other systems, which helps to improve the system's flexibility and adaptability and meet the needs of different users.

[0017] 3. This invention focuses on the analysis and detailed design of four major functional modules: automatic data acquisition, data processing and output, remote data uploading, and equipment status monitoring; and utilizes automation technology and system integration technology to realize an automatic monitoring information system for soil and water conservation. Attached Figure Description

[0018] Figure 1 This is a system structure diagram of the present invention. Detailed Implementation

[0019] To make the content of this invention easier to understand, the technical solutions in the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings.

[0020] like Figure 1As shown, a soil and water conservation monitoring system based on Internet of Things (IoT) technology is presented. The system is based on the Microsoft .NET Framework and uses an ADO.NET interface to connect to a database. This includes opening the database, reading data from the database, modifying database data, standardizing data storage through the database, and performing periodic database backups. The system adopts a Client / Server architecture. The Client side implements functions such as data acquisition and control of automated monitoring equipment, data processing and output, local data storage, distributed remote data upload, and equipment status monitoring. The Server side, an automated monitoring information system, acts as a Web server, publishing Web Services for monitoring site clients to call, enabling remote distributed upload of monitoring data. The Server-side data upload process includes: accepting Web Service call requests from the Client, verifying user legitimacy, receiving monitoring data from the Client, adjusting the data and writing it to an Oracle database, returning the upload operation result to the Client, and writing the upload operation log to the system.

[0021] The soil and water conservation monitoring system based on Internet of Things (IoT) technology specifically includes: an automatic data acquisition module, a data processing and output module, a remote data upload module, and an equipment status monitoring module.

[0022] The automatic data acquisition module includes soil moisture data acquisition, meteorological data acquisition, and rainfall data acquisition, realizing the operation control of the data acquisition system, communication between the acquisition system and the upper control computer, format conversion of acquired data, and data storage; the automatic data acquisition module includes setting operating parameters of the data acquisition system, controlling the data acquisition process, data uploading and transmission, data conversion and storage; basic operations include setting equipment parameters, real-time data acquisition, and historical data uploading.

[0023] The automatic data acquisition module includes the following devices: Meteorological monitoring equipment includes sensors for meteorological elements such as temperature, humidity, wind speed, and wind direction, used to monitor meteorological conditions such as soil moisture, temperature, and evaporation in real time.

[0024] Soil monitoring equipment includes sensors for soil parameters such as soil moisture, electrical conductivity, pH value, and organic matter, used to monitor soil texture, fertility, and moisture status.

[0025] Vegetation monitoring equipment includes sensors for vegetation parameters such as vegetation coverage, biomass, and spectral reflectance, used to monitor vegetation growth and the ecological environment.

[0026] Hydrological monitoring equipment includes sensors for hydrological parameters such as water level, flow rate, and water quality, used to monitor the hydrological conditions of rivers, lakes, and other water bodies.

[0027] The data processing and output module processes and outputs various types of monitoring data that have been collected and stored, enabling data verification, display and printing, and generation of relevant business reports. The data processing and output module also enables querying and browsing monitoring data in the local database, outputting business reports, and backing up data. Basic operations include attribute data querying, historical data querying, data report outputting, report printing, and data backup.

[0028] The data processing and output module preprocesses, fuses, analyzes, and mines the collected raw data. This includes data preprocessing, which involves filtering, denoising, and imputing to improve data quality; data fusion, which combines data from different sources and of different types to form comprehensive soil and water conservation monitoring data; data analysis, which uses statistical and machine learning methods to conduct in-depth analysis of the monitoring data to uncover patterns and trends; and data mining, which uses data mining techniques to discover potential information in the data and provide support for soil and water conservation decision-making.

[0029] The remote data upload module monitors data and uploads it to the remote data center layer via the network, writing data from the local database into the monitoring station's database. The remote data upload module includes a server-side web service submodule and a data upload client submodule. Basic operations include remote data upload settings, uploading new data, and uploading historical data.

[0030] The equipment status monitoring module collects equipment operating status parameters to ensure reliable equipment operation. Basic operations of the module include collecting equipment operating parameters, analyzing the collected data sequences, and outputting equipment status information or reporting errors.

[0031] A soil and water conservation monitoring method based on Internet of Things (IoT) technology, using the aforementioned system, includes the following steps: Step 1: The automatic data acquisition module sends a data acquisition command, and the acquired data is formatted and stored in the database. Step 2: The data processing and output module selects the start and end points of the data time period, reads the database, uploads the data, generates data reports, and outputs the data. Step 3: The server side of the remote data upload module receives the method parameters of the called web service, performs data standardization verification on the DataSet to be imported into the database, writes the data from the DataSet to the Oracle database, and uploads log records; the client side constructs the SQL statement of the server side, constructs the DataSet to be uploaded, calls the public method of the server-side web service, and uploads log records.

[0032] The equipment status monitoring module activates the automatic weather station, sends a data acquisition command, determines whether the equipment is malfunctioning, and records the data in the log.

[0033] The present invention and its embodiments have been described above, and such description is not restrictive. In conclusion, if those skilled in the art are inspired by this description and design similar structures and embodiments without departing from the spirit of the invention, such designs should fall within the protection scope of the present invention.

Claims

1. A water and soil conservation monitoring system based on Internet of Things technology, characterized in that, include: The automatic data acquisition module includes soil moisture data acquisition, meteorological data acquisition, and rainfall data acquisition. It realizes the operation control of the data acquisition system, communication between the acquisition system and the host control computer, format conversion of the acquired data, and data storage. The data processing and output module processes and outputs various types of monitoring data that have been collected and stored, enabling data verification, display and printing, and generation of relevant business reports; The remote data upload module uploads monitoring data to the remote data center layer via the network and writes data from the local database into the monitoring station database. The equipment status monitoring module collects equipment operating status parameters to ensure reliable equipment operation. 2.The water and soil conservation monitoring system based on the Internet of Things technology of claim 1, characterized in that: The system is based on the Microsoft .NET Framework and uses the ADO.NET interface to connect to the database. It includes opening the database, reading data from the database, modifying database data, standardizing and storing data through the database, and performing database backups periodically. 3.The water and soil conservation monitoring system based on the Internet of Things technology of claim 1, characterized in that: The automatic data acquisition module includes setting operating parameters for the data acquisition system, controlling the data acquisition process, uploading and transmitting data, and converting and storing data; basic operations include setting device parameters, real-time data acquisition, and uploading historical data.

4. The water and soil conservation monitoring system based on Internet of Things technology according to claim 1, characterized in that: The data processing and output module completes the querying and browsing of monitoring data in the local database, the output of business reports, and the backup of data; basic operations include attribute data query, historical data query, data report output, report printing, and data backup.

5. A soil and water conservation monitoring system based on Internet of Things technology according to claim 1, characterized in that: The remote data upload module includes a server-side web service submodule and a data upload client submodule; basic operations include remote data upload settings, uploading new data, and uploading historical data.

6. A soil and water conservation monitoring system based on Internet of Things technology according to claim 1, characterized in that: The basic operations of the equipment status monitoring module include collecting equipment operating parameters, analyzing the collected element data sequence, and outputting or reporting equipment status. 7.The water and soil conservation monitoring system based on the Internet of Things technology of claim 1, characterized in that: The system adopts a Client / Server architecture. The Client side implements functions such as data acquisition and control of automated monitoring equipment, data processing and output, local data storage, distributed remote data uploading, and equipment status monitoring. The Server side is an automated monitoring information system that acts as a Web server to publish Web Services for monitoring site clients to call, enabling remote distributed uploading of monitoring data. 8.The water and soil conservation monitoring system based on the Internet of Things technology of claim 5, characterized in that: The server-side data upload process includes: accepting WebServices call requests from the client, verifying user legitimacy, receiving monitoring data from the client, adjusting the data and writing it to the Oracle database, returning the upload operation result to the client, and writing the upload operation log to the system.

9. A water and soil conservation monitoring method based on Internet of Things technology, applying the system according to any one of claims 1-8, characterized in that, Includes the following steps: Step 1: The automatic data acquisition module sends a data acquisition command, and the acquired data is formatted and stored in the database. Step 2: The data processing and output module selects the start and end points of the data time period, reads the database, uploads the data, generates data reports, and outputs the data. Step 3: The server side of the remote data upload module receives the method parameters of the called web service, performs data standardization verification on the DataSet to be imported, writes the data from the DataSet to the Oracle database, and uploads log records. The client constructs the SQL statement for the server, creates the dataset to be uploaded (DataSet), calls the common methods of the server's web service, and uploads the log records.

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