Ecological monitoring system and method based on transmission and transformation project sensor network

Abstract

The invention discloses an ecological monitoring system and method based on a transmission and transformation project sensor network. The ecological monitoring system comprises a data acquisition module, a data transmission module and a data analysis module; the data acquisition module acquires multi-parameter environmental data and multiple biological samples in real time and sends the data to the data analysis module through the data transmission module; and the data analysis module receives the data, performs preprocessing, feature extraction and intelligent analysis, automatically records related information of rare animals and plants and ancient and famous trees and environment information, and generates an evaluation report or alarm information. According to the invention, real-time collection of multi-parameter environmental data and multi-biological samples can be realized, and key indexes such as temperature, humidity, pH value, pollutant concentration, rare animals and plants, ancient and famous trees and the like are covered. The comprehensive data collection is helpful to comprehensively understand the change of the ecological environment.

Description

Technical Field

[0001] This invention relates to the field of ecological monitoring technology for power transmission and transformation projects, specifically to an ecological monitoring system and method based on a sensor network for power transmission and transformation projects. Background Technology

[0002] With the continuous advancement of my country's energy structure adjustment and power infrastructure construction, the scale of power grid construction projects is constantly expanding. Some projects inevitably need to occupy or cross ecologically sensitive areas. These areas have fragile ecosystems with poor stability and low tolerance to external disturbances. Once ecological anomalies occur due to the impact of the projects, if they are not detected and intervention measures are not taken in time, they can easily cause irreversible ecological damage.

[0003] Currently, ecological monitoring relies on traditional manual inspections. The limitations of this traditional manual inspection model are mainly reflected in the following aspects: First, it is inefficient. Manual inspections require staff to travel back and forth to the monitoring area, and due to limitations such as geographical environment, transportation conditions, and inspection cycles, continuous coverage of the monitoring area cannot be achieved. This is especially true for vast areas with complex terrain, where data collection is difficult to complete quickly. Second, it is costly. Long-term manual inspections require a significant investment of human and material resources, including personnel salaries, transportation costs, and equipment wear and tear. As the monitoring area expands and the monitoring frequency increases, the cost pressure rises significantly. Third, data collection is not real-time. Manual inspections have fixed cycles, and the collected data only reflects the ecological status at a specific point in time, failing to capture the dynamic changes in the ecosystem within the monitoring period, resulting in insufficient data continuity and timeliness. Fourth, data analysis and early warning are delayed. Manually collected data requires multiple processing steps, including sorting, transmission, and entry, before analysis can be conducted. This process is cumbersome and time-consuming, making it difficult to promptly transform monitoring results into effective decision-making basis, quickly identify abnormal changes in the ecological status, and issue timely warnings, thus missing the best opportunity for ecological risk prevention and control.

[0004] Based on this, in order to meet the monitoring needs of power grid construction projects that occupy or cross ecologically sensitive areas, it is essential to develop ecological monitoring technologies that are highly adaptable, efficient, and timely in providing early warnings. This is a key requirement for ensuring the coordinated development of power grid projects and the ecological environment, and has significant practical significance and application value. Summary of the Invention

[0005] In view of the technical problems mentioned in the background, the purpose of this invention is to provide an ecological monitoring system and method based on a power transmission and transformation engineering sensor network.

[0006] To achieve the objectives of this invention, the technical solution provided by this invention is as follows:

[0007] First aspect

[0008] This application provides an ecological monitoring system based on a sensor network for power transmission and transformation projects, including a data acquisition module, a data transmission module, and a data analysis module;

[0009] The data acquisition module collects multi-parameter environmental data and multiple biological samples in real time and sends them to the data analysis module through the data transmission module. After receiving the data, the data analysis module performs preprocessing, feature extraction and intelligent analysis, and automatically records relevant information on rare plants and animals, ancient trees and famous trees, as well as environmental information to generate assessment reports or alarm information.

[0010] Furthermore, the data acquisition module consists of a multi-parameter sensor array and a signal processing circuit. The multi-parameter sensor array can automatically identify multi-parameter environmental data in the environment and can identify multiple biological samples in the monitoring area according to preset content. The signal processing circuit converts the information collected by the sensor array into electrical signals.

[0011] Furthermore, the multi-parameter environmental data includes temperature, humidity, pH value, and pollutant concentration, and the multi-biological samples include information related to rare plants and animals and ancient and famous trees.

[0012] Furthermore, the data transmission module transmits the electrical signal output by the data acquisition module to the data analysis module via wireless communication, supporting simultaneous acquisition and transmission of multiple parameters.

[0013] Furthermore, the data analysis module has built-in data analysis software that uses deep learning algorithms to process and analyze monitoring data in real time. It can automatically identify abnormal data and issue alarms, and can automatically generate environmental assessment reports or early warning information according to preset ecological assessment standards, and send them to designated platforms or issue alarms.

[0014] Furthermore, the deep learning algorithm includes support vector machines and / or neural networks.

[0015] Second aspect

[0016] This application also provides an ecological monitoring method based on a sensor network for power transmission and transformation projects, comprising the following steps:

[0017] In power grid projects, the data acquisition modules are deployed in the monitoring areas near tower foundations or substations that occupy or cross ecologically sensitive areas to ensure complete coverage and appropriate deployment density.

[0018] The data acquisition module collects multi-parameter environmental data and multiple biological samples in real time and sends them to the data analysis module through the data transmission module.

[0019] After receiving the data, the data analysis module performs preprocessing, feature extraction, and intelligent analysis, automatically recording relevant information on rare plants and animals, ancient trees, and famous trees, as well as environmental information, to generate assessment reports or alarm information.

[0020] Furthermore, the data acquisition module consists of a multi-parameter sensor array and a signal processing circuit. The multi-parameter sensor array can automatically identify multi-parameter environmental data in the environment and can identify multiple biological samples in the monitoring area according to preset content. The signal processing circuit converts the information collected by the sensor array into electrical signals.

[0021] Furthermore, the multi-parameter environmental data includes temperature, humidity, pH value, and pollutant concentration, and the multi-biological samples include information related to rare plants and animals and ancient and famous trees.

[0022] Furthermore, the data transmission module transmits the electrical signal output by the data acquisition module to the data analysis module via wireless communication, supporting simultaneous acquisition and transmission of multiple parameters.

[0023] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0024] (1) This invention enables the real-time collection of multi-parameter environmental data and multiple biological samples, covering key indicators such as temperature, humidity, pH value, pollutant concentration, rare plants and animals, and ancient and famous trees. This comprehensive data collection helps to fully understand changes in the ecological environment.

[0025] (2) The sensor network of the present invention has the characteristics of high flexibility and wide coverage, which can adapt to monitoring areas of different sizes and complexities, and provide an efficient solution for ecological protection.

[0026] (3) In this invention, by combining intelligent analysis algorithms (such as support vector machines, neural networks, etc.), the system can perform in-depth processing of monitoring data, identify abnormal situations, and trigger early warnings. This intelligent data analysis capability improves the efficiency and accuracy of early warning for the ecosystem.

[0027] (4) The system provided by the present invention has the function of automatically generating evaluation reports or alarm information, which reduces the need for manual intervention. Attached Figure Description

[0028] Figure 1 This is a schematic diagram of the system layout provided for an embodiment of the present invention. Detailed Implementation

[0029] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0030] like Figure 1As shown, this embodiment provides an ecological monitoring system based on a power transmission and transformation engineering sensor network, including a data acquisition module, a data transmission module, and a data analysis module;

[0031] The data acquisition module collects multi-parameter environmental data and multiple biological samples in real time and sends them to the data analysis module through the data transmission module. After receiving the data, the data analysis module performs preprocessing, feature extraction and intelligent analysis, and automatically records relevant information on rare plants and animals, ancient trees and famous trees, as well as environmental information to generate assessment reports or alarm information.

[0032] It should be noted that the data acquisition module can be installed at a relatively high position within the monitoring area near the tower foundations or substations of power grid projects that occupy or cross ecologically sensitive areas, ensuring complete coverage and appropriate deployment density, thereby enabling the collection of data over a large area. The data analysis module can be implemented using a smartphone terminal or a remote PC terminal.

[0033] Preferably, the data acquisition module consists of a multi-parameter sensor array and a signal processing circuit. The multi-parameter sensor array can automatically identify multi-parameter environmental data in the environment and can identify multiple biological samples in the monitoring area according to preset content. The signal processing circuit converts the information collected by the sensor array into electrical signals.

[0034] Preferably, the multi-parameter environmental data includes temperature, humidity, pH value, pollutant concentration, etc., and the multi-biological samples include information on rare plants and animals and ancient and famous trees, etc.

[0035] Preferably, the data transmission module transmits the electrical signal output by the data acquisition module to the data analysis module via wireless communication, supporting simultaneous acquisition and transmission of multiple parameters.

[0036] Preferably, the data analysis module has built-in data analysis software that uses deep learning algorithms to process and analyze monitoring data in real time. It can automatically identify abnormal data and issue alarms, and can automatically generate environmental assessment reports or early warning information according to preset ecological assessment standards, and send them to designated platforms or issue alarms.

[0037] Preferably, the deep learning algorithm includes support vector machines and / or neural networks.

[0038] In addition, this application also provides an ecological monitoring method based on a sensor network for power transmission and transformation projects, including the following steps:

[0039] In power grid projects, the data acquisition modules are deployed in the monitoring areas near tower foundations or substations that occupy or cross ecologically sensitive areas to ensure complete coverage and appropriate deployment density.

[0040] The data acquisition module collects multi-parameter environmental data and multiple biological samples in real time and sends them to the data analysis module through the data transmission module.

[0041] After receiving the data, the data analysis module performs preprocessing, feature extraction, and intelligent analysis, automatically recording relevant information on rare plants and animals, ancient trees, and famous trees, as well as environmental information, to generate assessment reports or alarm information.

[0042] Preferably, the data acquisition module consists of a multi-parameter sensor array and a signal processing circuit. The multi-parameter sensor array can automatically identify multi-parameter environmental data in the environment and can identify multiple biological samples in the monitoring area according to preset content. The signal processing circuit converts the information collected by the sensor array into electrical signals.

[0043] Preferably, the multi-parameter environmental data includes temperature, humidity, pH value, and pollutant concentration, and the multi-biological samples include information related to rare plants and animals and ancient trees.

[0044] Preferably, the data transmission module transmits the electrical signal output by the data acquisition module to the data analysis module via wireless communication, supporting simultaneous acquisition and transmission of multiple parameters.

[0045] Finally, it should be noted that the above embodiments are merely illustrative and explanatory of the present invention, and are not intended to limit the present invention to the scope of the described embodiments. Furthermore, those skilled in the art will understand that the present invention is not limited to the above embodiments, and many more variations and modifications can be made based on the teachings of the present invention, all of which fall within the scope of protection claimed by the present invention.

Claims

1. An ecological monitoring system based on a sensor network for power transmission and transformation projects, characterized in that, It includes a data acquisition module, a data transmission module, and a data analysis module; The data acquisition module collects multi-parameter environmental data and multiple biological samples in real time and sends them to the data analysis module through the data transmission module. After receiving the data, the data analysis module performs preprocessing, feature extraction and intelligent analysis, and automatically records relevant information on rare plants and animals, ancient trees and famous trees, as well as environmental information to generate assessment reports or alarm information.

2. The ecological monitoring system based on a power transmission and transformation engineering sensor network according to claim 1, characterized in that, The data acquisition module consists of a multi-parameter sensor array and a signal processing circuit. The multi-parameter sensor array can automatically identify multi-parameter environmental data in the environment and can identify multiple biological samples in the monitoring area according to preset content. The signal processing circuit converts the information collected by the sensor array into electrical signals.

3. An ecological monitoring system based on a power transmission and transformation engineering sensor network according to claim 2, characterized in that, The multi-parameter environmental data includes temperature, humidity, pH value, and pollutant concentration, while the multi-biological samples include information on rare plants and animals and ancient and famous trees.

4. An ecological monitoring system based on a power transmission and transformation engineering sensor network according to claim 3, characterized in that, The data transmission module transmits the electrical signals output by the data acquisition module to the data analysis module via wireless communication, supporting simultaneous acquisition and transmission of multiple parameters.

5. An ecological monitoring system based on a power transmission and transformation engineering sensor network according to claim 4, characterized in that, The data analysis module has built-in data analysis software that uses deep learning algorithms to process and analyze monitoring data in real time. It can automatically identify abnormal data and issue alarms, and can automatically generate environmental assessment reports or early warning information according to preset ecological assessment standards, and send them to designated platforms or issue alarms.

6. An ecological monitoring system based on a power transmission and transformation engineering sensor network according to claim 1, characterized in that, The deep learning algorithm includes support vector machines and / or neural networks.

7. An ecological monitoring method based on a sensor network for power transmission and transformation projects, characterized in that, Includes the following steps: In power grid projects, within the monitoring area of ​​tower foundations or substations that occupy or cross ecologically sensitive areas, data acquisition modules as described in any of claims 1-6 shall be deployed to ensure complete coverage and appropriate deployment density. The data acquisition module collects multi-parameter environmental data and multiple biological samples in real time and sends them to the data analysis module through the data transmission module. After receiving the data, the data analysis module performs preprocessing, feature extraction, and intelligent analysis, automatically recording relevant information on rare plants and animals, ancient trees, and famous trees, as well as environmental information, to generate assessment reports or alarm information.

8. The ecological monitoring method based on a power transmission and transformation engineering sensor network according to claim 7, characterized in that, The data acquisition module consists of a multi-parameter sensor array and a signal processing circuit. The multi-parameter sensor array can automatically identify multi-parameter environmental data in the environment and can identify multiple biological samples in the monitoring area according to preset content. The signal processing circuit converts the information collected by the sensor array into electrical signals.

9. The ecological monitoring method based on a power transmission and transformation engineering sensor network according to claim 8, characterized in that, The multi-parameter environmental data includes temperature, humidity, pH value, and pollutant concentration, while the multi-biological samples include information on rare plants and animals and ancient and famous trees.

10. An ecological monitoring system based on a power transmission and transformation engineering sensor network according to claim 9, characterized in that, The data transmission module transmits the electrical signals output by the data acquisition module to the data analysis module via wireless communication, supporting simultaneous acquisition and transmission of multiple parameters.

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