Multi-element real-time monitoring method and system for regional environment characteristics

Abstract

The invention provides a multi-element real-time monitoring method and system for regional environment characteristics. The method comprises the steps that sandy soil weight information, wind speed information, soil samples and vegetation information of a current region within a first preset duration are collected; based on the sandy soil weight information and the wind speed information, determining wind sand characteristics of the current area; determining a soil microbial community index and soil enzyme activity of the current area according to the soil sample; determining vegetation community characteristics of the current area according to the vegetation information; wherein the wind and sand characteristics comprise the sediment transport amount and the sediment transport potential, and the vegetation community characteristics comprise the plant species density, the total community coverage and the species fraction coverage. According to the technical scheme provided by the invention, the monitoring precision of the regional environment characteristics is improved.

Description

Technical Field

[0001] The present application relates to the field of environmental factor monitoring, and in particular to a multi-factor real-time monitoring method and system for regional environmental characteristics. Background Art

[0002] The desert region has a dry climate, little precipitation, and frequent wind and sand activities, which poses a huge challenge to the safe and stable operation of photovoltaic power stations. Studies have shown that wind and sand activities cause erosion under photovoltaic panels, forming wind erosion pits with the lower edge of the photovoltaic panels as the axis, and the base columns are exposed, which will threaten the stability of the fixed structure of photovoltaic modules. At the same time, after the forward movement of sand dunes and the obstruction of wind and sand flow, sand burial and sand accumulation will form on the leeward side of the photovoltaic panels. Strong wind and sandstorm events will directly overturn the photovoltaic array, causing damage to photovoltaic modules. Various environmental factors have a great impact on the photoelectric conversion process of photovoltaic power stations. However, the current environmental monitoring scheme for photovoltaic power stations is not accurate. Therefore, it is urgent to propose a scheme that can accurately monitor the environmental characteristics of photovoltaic power stations to ensure the safe and stable operation of photovoltaic power stations. Summary of the invention

[0003] The present application provides a method and system for real-time monitoring of multiple factors of regional environmental characteristics, so as to at least solve the technical problem of low accuracy of current photovoltaic power station environmental monitoring solutions.

[0004] The first embodiment of the present application provides a method for real-time monitoring of multiple factors of regional environmental characteristics, the method comprising:

[0005] Collecting sand weight information and wind speed information, soil samples and vegetation information in the current area within a first preset time period;

[0006] Determine the wind and sand characteristics of the current area based on the sand weight information and wind speed information;

[0007] Determine the soil microbial community index and soil enzyme activity of the current area according to the soil sample;

[0008] Determine the vegetation community characteristics of the current area according to the vegetation information;

[0009] Among them, the wind and sand characteristics include sand transport volume and sand transport potential, and the vegetation community characteristics include plant species density, total community cover, and species cover.

[0010] Preferably, the collecting of sand weight information, wind speed information, soil information and vegetation information in the current area within a preset time period includes:

[0011] Using a preset first scheme to collect sand weight information and wind speed information in the current area within a first preset time period;

[0012] Using the preset second solution to collect soil information in the current area;

[0013] Using the preset third solution to collect vegetation information in the current area;

[0014] Among them, the first preset time period is one quarter.

[0015] Furthermore, the preset first solution includes:

[0016] 10 sets of automatic rotating eight-direction sand collectors are installed along the main wind direction from outside to inside the photovoltaic power station;

[0017] The sand collected by each automatic rotating eight-direction sand collector within a preset time period is weighed to obtain the sand weight information corresponding to each automatic rotating eight-direction sand collector.

[0018] Furthermore, the second solution includes:

[0019] Select five healthy dominant species with the same plant size on each pre-set plot, collect rhizosphere soil samples of the dominant species at depths of 0-10cm, 10-20cm, and 20-30cm, and then mix them into one soil sample;

[0020] Among them, the preset sample plots are 3 repeated typical sample plots randomly set in the fixed-axis bracket, flat single-axis bracket, and flexible bracket inter-board area of ​​the photovoltaic power station. The width of the sample plot is the sum of the widths of the gaps between the photovoltaic panels. The sample plot length is 20m, and there are 3 repeated typical sample plots with an area of ​​20×20m randomly set outside the photovoltaic power station.

[0021] Furthermore, the third solution includes:

[0022] Set up five small plots of 0.5m×0.5m on each pre-set sample plot;

[0023] The plant types, species numbers and plant heights in each small sample plot within the third preset time period are obtained.

[0024] Furthermore, determining the soil microbial community index and soil enzyme activity of the current area according to the soil sample includes:

[0025] The soil samples are subjected to high-throughput sequencing to obtain soil microbial community indicators and soil enzyme activities in the current area.

[0026] The second embodiment of the present application proposes a multi-factor real-time monitoring system for regional environmental characteristics, including:

[0027] A collection module, used to collect sand weight information and wind speed information, soil samples and vegetation information in the current area within a first preset time period;

[0028] A first determination module, configured to determine the wind and sand characteristics of the current area based on the sand weight information and the wind speed information;

[0029] A second determination module is used to determine the soil microbial community index and soil enzyme activity of the current area according to the soil sample;

[0030] A third determination module is used to determine the vegetation community characteristics of the current area according to the vegetation information;

[0031] Among them, the wind and sand characteristics include sand transport volume and sand transport potential, and the vegetation community characteristics include plant species density, total community cover, and species cover.

[0032] Preferably, the acquisition module is also used for:

[0033] Using a preset first scheme to collect sand weight information and wind speed information in the current area within a first preset time period;

[0034] Using the preset second solution to collect soil information in the current area;

[0035] Using the preset third solution to collect vegetation information in the current area;

[0036] Among them, the first preset time period is one quarter.

[0037] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method described in the first aspect is implemented.

[0038] A fourth aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the first aspect of the present application.

[0039] The technical solution provided by the embodiments of the present application brings at least the following beneficial effects:

[0040] The present application proposes a multi-factor real-time monitoring method and system for regional environmental characteristics, the method comprising: collecting sand weight information and wind speed information, soil samples and vegetation information in the current area within a first preset time period; determining the wind and sand characteristics of the current area based on the sand weight information and wind speed information; determining the soil microbial community index and soil enzyme activity of the current area based on the soil samples; determining the vegetation community characteristics of the current area based on the vegetation information; wherein the wind and sand characteristics include the amount of sand transport and the potential of sand transport, and the vegetation community characteristics include plant species density, total community coverage, and species coverage. The technical solution proposed in the present application improves the monitoring accuracy of regional environmental characteristics.

[0041] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0043] Figure 1 A flowchart of a method for real-time monitoring of multiple factors of regional environmental characteristics provided according to an embodiment of the present application;

[0044] Figure 2 This is a structural diagram of a multi-factor real-time monitoring system for regional environmental characteristics provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0045] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0046] The present application proposes a multi-factor real-time monitoring method and system for regional environmental characteristics, the method comprising: collecting sand weight information and wind speed information, soil samples and vegetation information in the current area within a first preset time period; determining the wind and sand characteristics of the current area based on the sand weight information and wind speed information; determining the soil microbial community index and soil enzyme activity of the current area based on the soil samples; determining the vegetation community characteristics of the current area based on the vegetation information; wherein the wind and sand characteristics include sand transport volume and sand transport potential, and the vegetation community characteristics include plant species density, total community coverage, and species coverage. The technical solution proposed in the present application improves the monitoring accuracy of regional environmental characteristics.

[0047] The following describes a multi-factor real-time monitoring method and system for regional environmental characteristics according to an embodiment of the present application with reference to the accompanying drawings.

[0048] Embodiment 1

[0049] Figure 1 A flowchart of a method for real-time monitoring of multiple factors of regional environmental characteristics provided according to an embodiment of the present application is shown in FIG. Figure 1 As shown, the method includes:

[0050] Step 1: Collect sand weight information and wind speed information, soil samples and vegetation information in the current area within a first preset time period.

[0051] In the embodiment of the present disclosure, the step 1 specifically includes:

[0052] Using a preset first scheme to collect sand weight information and wind speed information in the current area within a first preset time period;

[0053] Using the preset second solution to collect soil information in the current area;

[0054] Using the preset third solution to collect vegetation information in the current area;

[0055] Among them, the first preset time period is one quarter.

[0056] It should be noted that the preset first solution includes:

[0057] 10 sets of automatic rotating eight-direction sand collectors are installed along the main wind direction from outside to inside the photovoltaic power station;

[0058] The sand collected by each automatic rotating eight-direction sand collector within a preset time period is weighed to obtain the sand weight information corresponding to each automatic rotating eight-direction sand collector.

[0059] For example, 10 sets of automatic rotating eight-direction sand collectors are set up along the main wind direction from outside to inside the photovoltaic power station. The sand collected in different directions is weighed every quarter to obtain the sand weight information corresponding to each automatic rotating eight-direction sand collector.

[0060] It should be noted that the second solution includes:

[0061] Select five healthy dominant species with the same plant size on each pre-set plot, collect rhizosphere soil samples of the dominant species at depths of 0-10cm, 10-20cm, and 20-30cm, and then mix them into one soil sample;

[0062] Among them, the preset sample plots are 3 repeated typical sample plots randomly set in the fixed-axis bracket, flat single-axis bracket, and flexible bracket inter-board area of ​​the photovoltaic power station. The width of the sample plot is the sum of the widths of the gaps between the photovoltaic panels. The sample plot length is 20m, and there are 3 repeated typical sample plots with an area of ​​20×20m randomly set outside the photovoltaic power station.

[0063] For example, a random block design was adopted. According to the impact of photovoltaic panel arrays on soil and plants, three repeated typical sample plots were randomly set up in the fixed-axis bracket, flat single-axis bracket, and the area between and under the panels of the flexible bracket. The width of the sample plot was based on the width of the photovoltaic panel and the gap between the photovoltaic panels. The length of the sample plot was 20m. At the same time, three repeated typical sample plots were randomly set up outside the photovoltaic field, and the sample plot area was 20×20m.

[0064] Soil samples were obtained using the soil drill method. Five healthy dominant species with basically the same plant size were selected in each sample plot using a soil drill (4 cm in diameter). Rhizosphere soil samples were taken and mixed into one sample. The planned drilling depths were 0-10 cm, 10-20 cm, and 20-30 cm. Soil samples were collected and stored in a 4°C refrigerator. Four samples could be taken from each sample plot.

[0065] It should be noted that the third solution includes:

[0066] Set up five small plots of 0.5m×0.5m on each pre-set sample plot;

[0067] The plant types, species numbers and plant heights in each small sample plot within the third preset time period are obtained.

[0068] For example, in summer and autumn, the characteristics of vegetation communities were investigated by using the S-type five-point sampling method. Five small plots (0.5 m × 0.5 m) were set up in each plot. The plant species, number of species, and plant heights that appeared within the plot were recorded. The natural height of the plants was measured using a steel tape measure, and the heights of 3-5 plants of each species were measured.

[0069] You can also conduct a community biomass survey during the most vigorous period of the growing season. Use scissors to cut all plant species in the sampling box with a 5 cm stubble. After returning to the laboratory, put them in an oven at 105°C for 30 minutes, then dry them at 65°C to constant weight (48 hours), and then measure the dry weight of the plant species.

[0070] Step 2: Determine the wind and sand characteristics of the current area based on the sand weight information and wind speed information, wherein the wind and sand characteristics include sand transport amount and sand transport potential.

[0071] For example, 10 sets of automatic rotating eight-direction sand collectors are set up along the main wind direction from outside to inside the photovoltaic power station. The sand collected in different directions is weighed every quarter to determine the sand transport volume. At the same time, the sand transport potential can be calculated by combining data such as wind speed and direction.

[0072] Step 3: Determine the soil microbial community index and soil enzyme activity of the current area based on the soil sample.

[0073] In the embodiment of the present disclosure, step 3 specifically includes:

[0074] The soil samples are subjected to high-throughput sequencing to obtain soil microbial community indicators and soil enzyme activities in the current area.

[0075] It should be noted that soil microbial community-related indicators and soil enzyme activity are determined through high-throughput sequencing once every quarter.

[0076] Step 4: Determine the vegetation community characteristics of the current area based on the vegetation information, wherein the vegetation community characteristics include plant species density, total community coverage, and species coverage.

[0077] It should be noted that based on the plant species, number of species and plant height in each small sample plot, the plant species density, total community cover and species cover in each sample plot were determined, the frequency was measured using a 0.1m2 sample circle, and the sample line method was used to determine the shrub layer cover (estimated based on the number and area of ​​individual plants intercepted by the sample line).

[0078] In summary, the multi-factor real-time monitoring method of regional environmental characteristics proposed in this embodiment improves the monitoring accuracy of regional environmental characteristics, thereby ensuring the safe and stable operation of the photovoltaic power station.

[0079] Embodiment 2

[0080] Figure 2 This is a structural diagram of a multi-factor real-time monitoring system for regional environmental characteristics provided according to an embodiment of the present application, such as Figure 2 As shown, the system comprises:

[0081] The collection module 100 is used to collect sand weight information and wind speed information, soil samples and vegetation information in the current area within a first preset time period;

[0082] A first determination module 200 is used to determine the wind and sand characteristics of the current area based on the sand weight information and wind speed information;

[0083] The second determination module 300 is used to determine the soil microbial community index and soil enzyme activity of the current area according to the soil sample;

[0084] A third determination module 400 is used to determine the vegetation community characteristics of the current area according to the vegetation information;

[0085] Among them, the wind and sand characteristics include sand transport volume and sand transport potential, and the vegetation community characteristics include plant species density, total community cover, and species cover.

[0086] In the embodiment of the present disclosure, the acquisition module 100 is also used for:

[0087] Using a preset first scheme to collect sand weight information and wind speed information in the current area within a first preset time period;

[0088] Using the preset second solution to collect soil information in the current area;

[0089] Using the preset third solution to collect vegetation information in the current area;

[0090] Among them, the first preset time period is one quarter.

[0091] The preset first solution includes:

[0092] 10 sets of automatic rotating eight-direction sand collectors are installed along the main wind direction from outside to inside the photovoltaic power station;

[0093] The sand collected by each automatic rotating eight-direction sand collector within a preset time period is weighed to obtain the sand weight information corresponding to each automatic rotating eight-direction sand collector.

[0094] The second solution includes:

[0095] Select five healthy dominant species with the same plant size on each pre-set plot, collect rhizosphere soil samples of the dominant species at depths of 0-10cm, 10-20cm, and 20-30cm, and then mix them into one soil sample;

[0096] Among them, the preset sample plots are 3 repeated typical sample plots randomly set in the fixed-axis bracket, flat single-axis bracket, and flexible bracket inter-board area of ​​the photovoltaic power station. The width of the sample plot is the sum of the widths of the gaps between the photovoltaic panels. The sample plot length is 20m, and there are 3 repeated typical sample plots with an area of ​​20×20m randomly set outside the photovoltaic power station.

[0097] The third solution includes:

[0098] Set up five small plots of 0.5m×0.5m on each pre-set sample plot;

[0099] Obtain the plant species density, total community cover, and species cover in each small sample plot within the third preset time period.

[0100] In the embodiment of the present disclosure, the second determining module 300 is further configured to:

[0101] The soil samples are subjected to high-throughput sequencing to obtain soil microbial community indicators and soil enzyme activities in the current area.

[0102] In summary, the multi-factor real-time monitoring system for regional environmental characteristics proposed in this embodiment improves the monitoring accuracy of regional environmental characteristics, thereby ensuring the safe and stable operation of photovoltaic power stations.

[0103] Embodiment 3

[0104] In order to implement the above embodiments, the present disclosure further proposes an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method described in Embodiment 1 is implemented.

[0105] Embodiment 4

[0106] In order to implement the above embodiments, the present disclosure further proposes a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the method described in the first embodiment is implemented.

[0107] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0108] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0109] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A multi-factor real-time monitoring method for regional environmental characteristics, characterized in that: The method comprises: Collecting sand weight information and wind speed information, soil samples and vegetation information in the current area within a first preset time period; Determine the wind and sand characteristics of the current area based on the sand weight information and wind speed information; Determine the soil microbial community index and soil enzyme activity of the current area according to the soil sample; Determine the vegetation community characteristics of the current area according to the vegetation information; Among them, the wind and sand characteristics include sand transport volume and sand transport potential, and the vegetation community characteristics include plant species density, total community cover, and species cover.

2. The method according to claim 1, characterized in that The collecting of sand weight information, wind speed information, soil information and vegetation information in the current area within a preset time period includes: Using a preset first scheme to collect sand weight information and wind speed information in the current area within a first preset time period; Using the preset second solution to collect soil information in the current area; Using the preset third solution to collect vegetation information in the current area; Among them, the first preset time period is one quarter.

3. The method according to claim 2, characterized in that The preset first solution includes: 10 sets of automatic rotating eight-direction sand collectors are installed along the main wind direction from outside to inside the photovoltaic power station; The sand collected by each automatic rotating eight-direction sand collector within a preset time period is weighed to obtain the sand weight information corresponding to each automatic rotating eight-direction sand collector.

4. The method according to claim 3, characterized in that The second solution includes: Select five healthy dominant species with the same plant size on each pre-set plot, collect rhizosphere soil samples of the dominant species at depths of 0-10cm, 10-20cm, and 20-30cm, and then mix them into one soil sample; Among them, the preset sample plots are 3 repeated typical sample plots randomly set in the fixed-axis bracket, flat single-axis bracket, and flexible bracket inter-board area of ​​the photovoltaic power station. The width of the sample plot is the sum of the widths of the gaps between the photovoltaic panels. The sample plot length is 20m, and there are 3 repeated typical sample plots with an area of ​​20×20m randomly set outside the photovoltaic power station.

5. The method according to claim 4, characterized in that The third solution includes: Set up five small plots of 0.5m×0.5m on each pre-set sample plot; The plant types, species numbers and plant heights in each small sample plot within the third preset time period are obtained.

6. The method according to claim 5, characterized in that Determining the soil microbial community index and soil enzyme activity of the current area according to the soil sample includes: The soil samples are subjected to high-throughput sequencing to obtain soil microbial community indicators and soil enzyme activities in the current area.

7. A multi-factor real-time monitoring system for regional environmental characteristics, characterized in that: The system comprises: A collection module, used to collect sand weight information and wind speed information, soil samples and vegetation information in the current area within a first preset time period; A first determination module, configured to determine the wind and sand characteristics of the current area based on the sand weight information and the wind speed information; A second determination module is used to determine the soil microbial community index and soil enzyme activity of the current area according to the soil sample; A third determination module is used to determine the vegetation community characteristics of the current area according to the vegetation information; Among them, the wind and sand characteristics include sand transport volume and sand transport potential, and the vegetation community characteristics include plant species density, total community cover, and species cover.

8. The system according to claim 7, characterized in that The acquisition module is also used for: Using a preset first scheme to collect sand weight information and wind speed information in the current area within a first preset time period; Using the preset second solution to collect soil information in the current area; Using the preset third solution to collect vegetation information in the current area; Among them, the first preset time period is one quarter.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method according to any one of claims 1 to 6 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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