Ecological vegetation restoration monitoring system and method based on photovoltaic power generation

Abstract

The invention belongs to the technical field of ecological monitoring, and particularly relates to an ecological vegetation restoration monitoring system and method based on photovoltaic power generation, and the system comprises an ecological vegetation monitoring module, a vegetation coverage performance analysis module, a vegetation restoration trend evaluation module and a background supervision terminal. According to the invention, the ecological vegetation monitoring module monitors the ecological restoration area of the photovoltaic power station, and the vegetation coverage performance analysis module analyzes the vegetation coverage performance of the ecological restoration area based on the monitoring image of the ecological restoration area. The vegetation recovery trend evaluation module analyzes the vegetation recovery trend condition of the ecological recovery area in the detection period, and analyzes the relevance between the poor vegetation recovery trend and the environment when the vegetation recovery trend abnormal signal is generated, so that the management difficulty of supervisors is remarkably reduced, subsequent vegetation recovery management planning is facilitated, and the management efficiency is improved. The vegetation restoration effect and the vegetation restoration efficiency of the ecological restoration area are ensured, and the intelligent degree is high.

Description

Technical Field

[0001] The present invention relates to the technical field of ecological monitoring, and in particular to an ecological vegetation restoration monitoring system and method based on photovoltaic power generation. Background Art

[0002] As the global demand for renewable energy increases, photovoltaic power generation, as a clean and renewable energy form, has been expanding in scale. However, the construction of photovoltaic power stations is often accompanied by the destruction of the original ecosystem, such as reduced vegetation coverage and increased soil erosion. Therefore, it is necessary to restore and protect the surrounding ecological environment while ensuring the efficient operation of photovoltaic power stations. At present, when monitoring the ecological vegetation restoration in the areas involved in photovoltaic power stations, the regional vegetation distribution is mainly monitored through monitoring cameras. It is difficult to analyze the regional vegetation coverage in real time and accurately judge the regional vegetation restoration trend. When it is judged that the regional vegetation restoration trend is not good, it is impossible to automatically analyze the correlation with the regional environment, which increases the management difficulty of supervisors and is not conducive to the subsequent vegetation restoration management planning and ensuring the regional vegetation restoration effect and efficiency. In view of the above technical defects, a solution is now proposed. Summary of the invention

[0003] The purpose of the present invention is to provide an ecological vegetation restoration monitoring system and method based on photovoltaic power generation, which solves the problem that the prior art is difficult to analyze the regional vegetation coverage performance in real time and accurately judge the regional vegetation restoration trend, and cannot automatically analyze the correlation with the regional environment when it is judged that the regional vegetation restoration trend is not good, which is not conducive to vegetation restoration management planning and ensuring the regional vegetation restoration effect and vegetation restoration efficiency.

[0004] To achieve the above object, the present invention provides the following technical solutions: An ecological vegetation restoration monitoring system based on photovoltaic power generation, including an ecological vegetation monitoring module, a vegetation coverage performance analysis module, a vegetation restoration trend assessment module and a background monitoring terminal; The ecological vegetation monitoring module obtains the area that needs to be monitored around the photovoltaic power station and marks it as an ecological restoration area. It monitors the ecological restoration area through monitoring cameras and sends the monitoring images of the ecological restoration area to the vegetation coverage performance analysis module. The vegetation coverage performance analysis module analyzes the vegetation coverage performance of the ecological restoration area, obtains the vegetation coverage detection value through analysis, and sends the vegetation coverage detection value to the vegetation restoration trend assessment module and the background supervision end; The vegetation recovery trend assessment module is used to set the detection period, analyze the vegetation recovery trend status of the ecological restoration area during the detection period, generate a vegetation recovery trend abnormal signal or a vegetation recovery trend normal signal through analysis, and send the vegetation recovery trend abnormal signal or the vegetation recovery trend normal signal to the background supervision end. When the background supervision end receives the vegetation recovery trend abnormal signal, it will issue a corresponding warning.

[0005] Furthermore, the specific analysis process of the vegetation coverage performance analysis module is as follows: By monitoring the image, the areas without vegetation coverage in the ecological restoration area are identified, and the corresponding areas without vegetation coverage are marked as desertification sub-areas; the area of ​​the corresponding desertification sub-area is obtained and marked as the desertification face value, and the desertification face value of all desertification sub-areas in the ecological restoration area are summed up to obtain the total desertification face value; The wasteland surface detection value is numerically compared with the preset wasteland surface detection threshold. If the wasteland surface detection value exceeds the preset wasteland surface detection threshold, the corresponding wasteland sub-area is marked as a wasteland risk area. The number of wasteland risk areas in the ecological restoration area is obtained and marked as a wasteland risk table value, and the vegetation situation value is obtained through analysis. The total wasteland surface value, wasteland risk table value and vegetation situation value are numerically calculated to obtain the vegetation coverage detection value.

[0006] Furthermore, the analysis and acquisition method of vegetation situation value is as follows: The average height of the covered vegetation in the ecological restoration area is collected and marked as the vegetation high inspection value, and the proportion of the green part of all the vegetation in the ecological restoration area is averaged to obtain the vegetation greening value, and the single plant expansion area of ​​all the vegetation in the ecological restoration area is averaged to obtain the vegetation expansion surface value; the vegetation situation value is obtained by numerically calculating the vegetation high inspection value, vegetation greening value and vegetation expansion surface value.

[0007] Furthermore, the specific analysis process of the vegetation restoration trend assessment module includes: Obtain all vegetation coverage detection values ​​within the detection period, establish a rectangular coordinate system located in the first quadrant with time as the X-axis and vegetation coverage detection value as the Y-axis, substitute all vegetation coverage detection values ​​into the rectangular coordinate system in chronological order to form a number of coordinate points, and mark the corresponding coordinate points as re-check points; In the rectangular coordinate system, a ray parallel to the X-axis and with its endpoint on the Y-axis is drawn and marked as a re-judgment ray, and the number of re-check points located above the re-judgment ray is marked as the vegetation re-abnormal detection value; and two adjacent groups of re-check points are connected by line segments and the corresponding line segments are marked as adjacent line segments. If the adjacent line segments show an upward trend, the corresponding adjacent line segments are marked as abnormal rising line segments; The number of abnormal growth line segments is obtained and marked as vegetation abnormal growth detection values. The vegetation re-abnormality detection value and the vegetation abnormal growth detection value are numerically compared with the preset vegetation re-abnormality detection threshold and the preset vegetation abnormal growth detection threshold respectively. If the vegetation re-abnormality detection value or the vegetation abnormal growth detection value exceeds the corresponding preset threshold, a vegetation recovery trend abnormal signal is generated.

[0008] Furthermore, if both the vegetation re-examination detection value and the vegetation abnormal rise detection value do not exceed the corresponding preset threshold, the re-examination point located below the re-examination ray is marked as an abnormal detection point, and a line segment perpendicular to the re-examination ray is drawn with the corresponding abnormal detection point as the endpoint and marked as a complex distance line segment; The length of the complex distance line segment is obtained and marked as the complex distance detection value, and the complex distance detection values ​​of all the complex distance line segments are averaged to obtain the complex distance analysis value; a straight line is drawn in the rectangular coordinate system parallel to the X-axis and intersecting with the corresponding abnormal rise line segment, and the acute angle formed by the corresponding abnormal rise line segment and the corresponding straight line is marked as the abnormal rise amplitude value, and all the abnormal rise amplitude values ​​are averaged to obtain the abnormal rise amplitude table value; The vegetation recovery trend coefficient is obtained by numerically calculating the vegetation complex abnormality detection value, the vegetation rise abnormality detection value, the complex distance analysis value and the rise abnormality amplitude table value, and the vegetation recovery trend coefficient is numerically compared with the preset vegetation recovery trend coefficient threshold. If the vegetation recovery trend coefficient exceeds the preset vegetation recovery trend coefficient threshold, a vegetation recovery trend abnormal signal is generated; if the vegetation recovery trend coefficient does not exceed the preset vegetation recovery trend coefficient threshold, a vegetation recovery trend normal signal is generated.

[0009] Furthermore, the vegetation recovery trend assessment module is communicatively connected to the regional environmental impact analysis module. The vegetation recovery trend assessment module sends the vegetation recovery trend abnormal signal to the regional environmental impact analysis module. The regional environmental impact analysis module analyzes the degree of impact of the regional environment on the ecological vegetation restoration during the detection period, and generates a regional environmental high impact signal or a regional environmental low impact signal through analysis, and sends the regional environmental high impact signal or the regional environmental low impact signal to the background supervision end. When the background supervision end receives the regional environmental high impact signal, it issues a corresponding warning.

[0010] Furthermore, the regional environmental impact analysis module is communicatively connected to the upper air monitoring module and the lower air monitoring module. The upper air monitoring module monitors the space above the soil in the ecological restoration area, assigns an upper air judgment symbol TK-1 or TK-2 through analysis, and sends the upper air judgment symbol TK-1 or TK-2 to the regional environmental impact analysis module. The lower air monitoring module monitors the internal space of the soil in the ecological restoration area, assigns the lower air judgment symbol TL-1 or TL-2 through analysis, and sends the lower air judgment symbol TL-1 or TL-2 to the regional environmental impact analysis module; The regional environmental impact analysis module receives the corresponding upper air judgment symbols and lower air judgment symbols. If TK-2∩TL-2 is received, a regional environmental low impact signal is generated; in other cases, a regional environmental high impact signal is generated.

[0011] Furthermore, the specific analysis process of the overhead monitoring module is as follows: The real-time temperature data, real-time humidity data and real-time carbon dioxide concentration data of the atmospheric environment in the ecological restoration area are obtained at several locations, and the deviation value of the average value of the real-time temperature data at several locations compared with the preset suitable atmospheric temperature standard value is marked as the regional upper temperature value. Similarly, the regional upper humidity value and regional upper carbon value are obtained; The regional upper layer temperature value, the regional upper layer humidity value and the regional upper layer carbon value are numerically compared with the corresponding preset thresholds. If the regional upper layer temperature value, the regional upper layer humidity value or the regional upper layer carbon value exceeds the corresponding preset threshold, it is judged that the atmospheric environment in the ecological restoration area is in a preliminarily poor state; The total duration of the atmospheric environment in the ecological restoration area on the corresponding date being in a preliminarily poor state is obtained and marked as the preliminarily poor time table value, and the average duration of the light intensity at several locations in the ecological restoration area on the corresponding date not exceeding the preset light intensity threshold is marked as the poor light time table value; Compare the initial bad meter value and the bad light meter value with the preset initial bad meter threshold and the preset bad light meter threshold respectively. If the initial bad meter value or the bad light meter value exceeds the corresponding preset threshold, mark the corresponding date as the upper non-excellent day. The number of upper-layer non-optimal days during the detection period is obtained and marked as the upper-layer non-optimal day condition value, and the upper-layer non-optimal day condition value is numerically compared with the preset upper-layer non-optimal day condition threshold. If the upper-layer non-optimal day condition value exceeds the preset upper-layer non-optimal day condition threshold, an upper-layer judgment symbol TK-1 is assigned; if the upper-layer non-optimal day condition value does not exceed the preset upper-layer non-optimal day condition threshold, an upper-layer judgment symbol TK-2 is assigned.

[0012] Furthermore, the specific analysis process of the lower air monitoring module is as follows: The soil temperature data and soil moisture content data of several locations in the ecological restoration area are obtained, and the deviation value of the average value of the soil temperature data of several locations compared with the preset suitable soil temperature standard value is marked as the regional lower layer temperature value, and the regional lower layer water condition value is obtained in the same way; Obtain the fertility elements that need to be monitored in the soil, calculate the average content of the corresponding fertility elements at several locations in the soil to obtain a fertility detection value, and mark the deviation value of the fertility detection value compared to the preset content standard value of the corresponding fertility element as a fertility detection deviation value; A set of preset weight values ​​is set in advance for each fertility element, and the product of the fertility deviation value of the corresponding fertility element and the corresponding preset weight value is marked as the fertility impact value, and the fertility impact values ​​of all types of fertility elements that need to be monitored are summed up and calculated to obtain the lower-level fertility value; The lower layer actual inspection value is obtained by numerically calculating the lower layer temperature value, the lower layer water condition value and the lower layer fertility value, the lower layer actual inspection value is numerically compared with the preset lower layer actual inspection threshold, and the number of lower layer actual inspection values ​​exceeding the preset lower layer actual inspection threshold during the detection period is marked as the lower layer poor inspection value, and the lower layer monitoring value is obtained by averaging all lower layer actual inspection values ​​during the detection period; The lower layer poor inspection value and the lower layer monitoring value are numerically compared with the preset lower layer poor inspection threshold and the preset lower layer monitoring threshold respectively. If the lower layer poor inspection value or the lower layer monitoring value exceeds the corresponding preset threshold, the lower empty judgment symbol TL-1 is assigned; if neither the lower layer poor inspection value nor the lower layer monitoring value exceeds the corresponding preset threshold, the lower empty judgment symbol TL-2 is assigned.

[0013] Furthermore, the present invention also proposes a method for monitoring ecological vegetation restoration based on photovoltaic power generation, comprising the following steps: Step 1: Acquire the area that needs to be monitored around the photovoltaic power station and mark it as an ecological restoration area, and send the monitoring image of the ecological restoration area to the vegetation coverage performance analysis module; Step 2: The vegetation coverage performance analysis module analyzes the vegetation coverage performance of the ecological restoration area, and obtains the vegetation coverage detection value accordingly; Step 3: The vegetation recovery trend assessment module analyzes the vegetation recovery trend status of the ecological restoration area during the detection period, and generates a vegetation recovery trend abnormal signal or a vegetation recovery trend normal signal accordingly; Step 4: When generating the abnormal vegetation recovery trend signal, analyze the impact of the regional environment on the ecological vegetation recovery during the detection period, and generate a regional environmental high impact signal or a regional environmental low impact signal accordingly; Step 5: When abnormal vegetation recovery trend signals or high-impact regional environmental signals are generated, the background monitoring terminal issues a corresponding warning.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, the ecological restoration area of ​​the photovoltaic power station is monitored by the ecological vegetation monitoring module, the vegetation coverage performance analysis module analyzes the vegetation coverage performance of the ecological restoration area based on the monitoring image of the ecological restoration area, and the vegetation restoration trend evaluation module analyzes the vegetation restoration trend of the ecological restoration area during the detection period based on the vegetation coverage analysis information, and can accurately evaluate the vegetation restoration trend of the ecological restoration area during the detection period. When the abnormal vegetation restoration trend signal is generated, the supervisor is reminded to strengthen the vegetation restoration supervision in the future to ensure the subsequent vegetation restoration effect and recovery efficiency; 2. In the present invention, the regional environmental impact analysis module analyzes the degree of influence of the regional environment on the ecological vegetation restoration during the detection period when generating an abnormal vegetation restoration trend signal. When it is judged that the vegetation restoration trend is poor, the cause can be automatically diagnosed and reasonable feedback can be given on the correlation between the poor vegetation restoration trend and the environment. When a regional environmental high impact signal is generated, the supervisory personnel are reminded to strengthen the supervision of the vegetation ecological environment or plant other plants, which significantly reduces the management difficulty of the supervisory personnel and further ensures the vegetation restoration effect and efficiency in the ecological restoration area. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings; Figure 1 It is a system block diagram of Embodiment 1 and Embodiment 2 of the present invention; Figure 2 This is a system block diagram of Embodiment 3 of the present invention; Figure 3 This is a flow chart of the method of Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] Embodiment 1: Figure 1 As shown, the present invention proposes an ecological vegetation restoration monitoring system based on photovoltaic power generation, including an ecological vegetation monitoring module, a vegetation coverage performance analysis module, a vegetation restoration trend assessment module and a background monitoring terminal; The ecological vegetation monitoring module obtains the areas that need to be monitored around the photovoltaic power station and marks them as ecological restoration areas. It monitors the ecological restoration areas through monitoring cameras and sends the monitoring images of the ecological restoration areas to the vegetation coverage performance analysis module to provide information support for the analysis process of the vegetation coverage performance analysis module.

[0018] The vegetation coverage performance analysis module analyzes the vegetation coverage performance of the ecological restoration area, obtains the vegetation coverage detection value through analysis, and sends the vegetation coverage detection value to the vegetation restoration trend assessment module and the background supervision end, which can provide real-time feedback on the vegetation coverage status of the ecological restoration area involved in photovoltaic power generation, provide data support for the analysis process of the vegetation restoration trend assessment module, and ensure the accuracy of its analysis results; the specific analysis process of the vegetation coverage performance analysis module is as follows: By monitoring the image, the areas without vegetation coverage in the ecological restoration area are identified, and the corresponding areas without vegetation coverage are marked as desertification sub-areas; the area of ​​the corresponding desertification sub-area is obtained and marked as the desertification face value, and the desertification face value of all desertification sub-areas in the ecological restoration area are summed up to obtain the total desertification face value; The wasteland surface inspection value is numerically compared with the preset wasteland surface inspection threshold. If the wasteland surface inspection value exceeds the preset wasteland surface inspection threshold, the corresponding wasteland sub-area is marked as a wasteland risk area; the number of wasteland risk areas in the ecological restoration area is obtained and marked as a wasteland risk table value; And the vegetation situation value is obtained through analysis, specifically: the average height of the covered vegetation in the ecological restoration area is collected and marked as the vegetation high inspection value, and the proportion of the green part of all vegetation in the ecological restoration area (that is, the ratio of the volume occupied by the green part of the corresponding vegetation to its total volume) is averaged to obtain the vegetation greening value, and the single plant expansion area of ​​all vegetation in the ecological restoration area is averaged to obtain the vegetation expansion area value; The vegetation high inspection value PL, vegetation greening value PY and vegetation surface value PZ are numerically calculated by the formula PX=(eg1*PL+eg2*PY+eg3*PZ) / 3 to obtain the vegetation situation value PX; among them, eg1, eg2, eg3 are preset proportional coefficients with values ​​greater than zero, and the smaller the value of the vegetation situation value PX, the worse the growth condition of the vegetation growing in the ecological restoration area; By formula The total wasteland area value LN, the wasteland risk table value LW and the vegetation situation value PX are numerically calculated to obtain the vegetation coverage detection value LX; among them, hu1, hu2, and hu3 are preset proportional coefficients whose values ​​are greater than zero, and the larger the value of the vegetation coverage detection value LX, the worse the current vegetation coverage performance in the ecological restoration area is overall.

[0019] The vegetation recovery trend assessment module is used to set a detection period, preferably, the detection period is twenty-five days; the vegetation recovery trend status of the ecological restoration area during the detection period is analyzed, and a vegetation recovery trend abnormal signal or a vegetation recovery trend normal signal is generated through the analysis, and the vegetation recovery trend abnormal signal or the vegetation recovery trend normal signal is sent to the background supervision end; When the background monitoring terminal receives abnormal signals of vegetation recovery trend, it will issue a corresponding warning, which can reasonably analyze and accurately evaluate the vegetation recovery trend of the ecological restoration area during the detection period. When the supervisor receives the corresponding warning, he will promptly strengthen the vegetation restoration supervision in the future to ensure the subsequent vegetation restoration effect. The specific analysis process of the vegetation recovery trend evaluation module is as follows: Obtain all vegetation coverage detection values ​​within the detection period, establish a rectangular coordinate system located in the first quadrant with time as the X-axis and vegetation coverage detection value as the Y-axis, substitute all vegetation coverage detection values ​​into the rectangular coordinate system in chronological order to form a number of coordinate points, and mark the corresponding coordinate points as re-check points; In the rectangular coordinate system, a ray parallel to the X-axis and with its endpoint on the Y-axis is drawn and marked as a re-judgment ray (the Y-axis coordinate value corresponding to the re-judgment ray represents the preset vegetation coverage detection threshold), and the number of re-check points located above the re-judgment ray is marked as the vegetation re-abnormal detection value; and two adjacent groups of re-check points are connected by line segments and the corresponding line segments are marked as adjacent line segments. If the adjacent line segments show an upward trend, the corresponding adjacent line segments are marked as abnormal rising line segments; The number of abnormal growth line segments is obtained and marked as vegetation abnormal growth detection values. The vegetation complex abnormality detection value and the vegetation abnormal growth detection value are numerically compared with the preset vegetation complex abnormality detection threshold and the preset vegetation abnormal growth detection threshold respectively. If the vegetation complex abnormality detection value or the vegetation abnormal growth detection value exceeds the corresponding preset threshold, indicating that the vegetation recovery trend in the ecological restoration area is poor, a vegetation recovery trend abnormal signal is generated.

[0020] Furthermore, if both the vegetation re-examination detection value and the vegetation abnormal rise detection value do not exceed the corresponding preset threshold, the re-examination point located below the re-examination ray is marked as an abnormal detection point, and a line segment perpendicular to the re-examination ray is drawn with the corresponding abnormal detection point as the endpoint and marked as a re-distance line segment; The length of the complex distance line segment is obtained and marked as the complex distance detection value, and the complex distance detection values ​​of all the complex distance line segments are averaged to obtain the complex distance analysis value; a straight line is drawn in the rectangular coordinate system parallel to the X-axis and intersecting with the corresponding abnormal rise line segment, and the acute angle formed by the corresponding abnormal rise line segment and the corresponding straight line is marked as the abnormal rise amplitude value, and all the abnormal rise amplitude values ​​are averaged to obtain the abnormal rise amplitude table value; The vegetation complex difference detection value QF, vegetation abnormal rise detection value QY, complex distance analysis value QL and rise difference amplitude table value QP are numerically calculated by the formula QS=0.5*(sq1*QF+sq2*QY)+sq3*QL+sq4*QP to obtain the vegetation recovery trend coefficient QS; wherein sq1, sq2, sq3, and sq4 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the vegetation recovery trend coefficient QS, the worse the vegetation recovery trend performance in the ecological restoration area is overall; The vegetation recovery trend coefficient QS is numerically compared with the preset vegetation recovery trend coefficient threshold. If the vegetation recovery trend coefficient QS exceeds the preset vegetation recovery trend coefficient threshold, it indicates that the vegetation recovery trend performance in the ecological restoration area is generally poor, and a vegetation recovery trend abnormal signal is generated; if the vegetation recovery trend coefficient QS does not exceed the preset vegetation recovery trend coefficient threshold, it indicates that the vegetation recovery trend performance in the ecological restoration area is generally good, and a vegetation recovery trend normal signal is generated.

[0021] Embodiment 2: Figure 1 As shown, the difference between this embodiment and the first embodiment is that the vegetation recovery trend assessment module is connected to the regional environmental impact analysis module in communication, and the vegetation recovery trend assessment module sends the vegetation recovery trend abnormality signal to the regional environmental impact analysis module; when the regional environmental impact analysis module receives the vegetation recovery trend abnormality signal, it analyzes the impact of the regional environment on the ecological vegetation recovery during the detection period; After receiving the corresponding upper and lower judgment symbols, if TK-2∩TL-2 is received, it indicates that the adverse effects of the regional environment on the vegetation restoration in the ecological restoration area are relatively small, and a regional environmental low-impact signal is generated; the other cases (TK-1∩TL-1, TK-1∩TL-2 or TK-2∩TL-1) indicate that the adverse effects of the regional environment on the vegetation restoration in the ecological restoration area are relatively large, and a regional environmental high-impact signal is generated; and the regional environmental high-impact signal or the regional environmental low-impact signal is sent to the background monitoring end; When the background supervision end receives a high-impact signal on the regional environment, it will issue a corresponding warning. When it is judged that the vegetation recovery trend is poor, it can automatically diagnose the cause and reasonably feedback the correlation between the poor vegetation recovery trend and the environment, so as to remind supervisors to strengthen the supervision of the vegetation ecological environment or plant other plants in the future, which significantly reduces the management difficulty of supervisors and is conducive to subsequent management planning, further ensuring the vegetation restoration effect and efficiency in the ecological restoration area.

[0022] Embodiment 3: Figure 2As shown, the difference between this embodiment and the first and second embodiments is that the regional environmental impact analysis module is connected to the upper air monitoring module and the lower air monitoring module in communication. The upper air monitoring module monitors the space above the soil in the ecological restoration area, and assigns the upper air judgment symbol TK-1 or TK-2 through analysis, and sends the upper air judgment symbol TK-1 or TK-2 to the regional environmental impact analysis module, which can reasonably analyze the atmospheric environment performance of the ecological restoration area during the detection period, provide information support for the analysis process of the regional environmental impact analysis module, and ensure the accuracy of its analysis results; the specific analysis process of the upper air monitoring module is as follows: The real-time temperature data, real-time humidity data and real-time carbon dioxide concentration data of the atmospheric environment in the ecological restoration area are obtained at several locations, and the deviation value of the average value of the real-time temperature data at several locations compared with the preset suitable atmospheric temperature standard value is marked as the regional upper layer temperature condition value, the deviation value of the average value of the real-time humidity data at several locations compared with the preset suitable atmospheric humidity standard value is marked as the regional upper layer humidity condition value, and the deviation value of the average value of the real-time carbon dioxide concentration data at several locations compared with the preset suitable atmospheric carbon dioxide concentration standard value is marked as the regional upper layer carbon condition value; The regional upper layer temperature value, the regional upper layer humidity value and the regional upper layer carbon value are numerically compared with the corresponding preset thresholds. If the regional upper layer temperature value, the regional upper layer humidity value or the regional upper layer carbon value exceeds the corresponding preset threshold, it is judged that the atmospheric environment in the ecological restoration area is in a preliminarily poor state; The total duration of the atmospheric environment in the ecological restoration area on the corresponding date being in a preliminarily poor state is obtained and marked as the preliminarily poor time table value, and the average duration of the light intensity at several locations in the ecological restoration area on the corresponding date not exceeding the preset light intensity threshold is marked as the poor light time table value; The initial bad meter value and the bad light meter value are compared with the preset initial bad meter threshold and the preset bad light meter threshold, respectively. If the initial bad meter value or the bad light meter value exceeds the corresponding preset threshold, it indicates that the atmospheric environment condition in the ecological restoration area on the corresponding date is poor, and the corresponding date is marked as an upper non-excellent day. The number of upper-layer non-excellent days during the detection period is obtained and marked as the upper-layer non-excellent day condition value, and the upper-layer non-excellent day condition value is numerically compared with the preset upper-layer non-excellent day condition threshold. If the upper-layer non-excellent day condition value exceeds the preset upper-layer non-excellent day condition threshold, indicating that the atmospheric environment performance of the ecological restoration area during the detection period is generally poor, the upper-air judgment symbol TK-1 is assigned; if the upper-layer non-excellent day condition value does not exceed the preset upper-layer non-excellent day condition threshold, indicating that the atmospheric environment performance of the ecological restoration area during the detection period is generally good, the upper-air judgment symbol TK-2 is assigned.

[0023] The lower air monitoring module monitors the internal space of the soil in the ecological restoration area, assigns the lower air judgment symbol TL-1 or TL-2 through analysis, and sends the lower air judgment symbol TL-1 or TL-2 to the regional environmental impact analysis module, which can reasonably analyze the soil layer status of the ecological restoration area during the detection period, provide information support for the analysis process of the regional environmental impact analysis module, and further ensure the accuracy of its analysis results; the specific analysis process of the lower air monitoring module is as follows: The soil temperature data and soil moisture content data of several locations in the ecological restoration area are obtained, and the deviation value of the average value of the soil temperature data of several locations compared with the preset suitable soil temperature standard value is marked as the regional lower layer temperature value, and the deviation value of the average value of the soil moisture content data of several locations compared with the preset suitable soil moisture content standard value is marked as the regional lower layer water condition value; Obtain the fertility elements (such as nitrogen, phosphorus, potassium, etc.) that need to be monitored in the soil, calculate the average content of the corresponding fertility elements at several locations in the soil to obtain the fertility detection value, and mark the deviation value of the fertility detection value compared to the preset content standard value of the corresponding fertility element as the fertility detection value; A set of preset weight values ​​is set in advance for each fertility element, wherein the preset weight values ​​are all positive numbers, and the more important the corresponding fertility element is to vegetation growth, the larger the value of the preset weight value that matches it is; the product of the fertility deviation value of the corresponding fertility element and the corresponding preset weight value is marked as the fertility impact value, and the fertility impact values ​​of all types of fertility elements that need to be monitored are summed up and calculated to obtain the lower layer fertility value; By formula The lower layer temperature value NW, the lower layer water value NS and the lower layer fertility value NF are numerically calculated to obtain the lower layer actual inspection value NP; wherein wq1, wq2 and wq3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the lower layer actual inspection value NP is, the worse the real-time condition of the soil layer in the ecological restoration area is; The lower layer actual inspection value NP is numerically compared with the preset lower layer actual inspection threshold, and the number of lower layer actual inspection values ​​exceeding the preset lower layer actual inspection threshold during the detection period is marked as the lower layer poor inspection value, and all lower layer actual inspection values ​​during the detection period are averaged to obtain the lower layer monitoring value; the lower layer poor inspection value and the lower layer monitoring value are numerically compared with the preset lower layer poor inspection threshold and the preset lower layer monitoring threshold respectively; If the lower layer poor inspection value or the lower layer monitoring value exceeds the corresponding preset threshold, indicating that the soil layer condition in the ecological restoration area during the detection period is generally poor, then the lower empty judgment symbol TL-1 is assigned; if neither the lower layer poor inspection value nor the lower layer monitoring value exceeds the corresponding preset threshold, indicating that the soil layer condition in the ecological restoration area during the detection period is generally good, then the lower empty judgment symbol TL-2 is assigned.

[0024] Embodiment 4: Figure 3 As shown, the difference between this embodiment and the first, second and third embodiments is that the present invention proposes a method for monitoring ecological vegetation restoration based on photovoltaic power generation, comprising the following steps: Step 1: Acquire the area that needs to be monitored around the photovoltaic power station and mark it as an ecological restoration area, and send the monitoring image of the ecological restoration area to the vegetation coverage performance analysis module; Step 2: The vegetation coverage performance analysis module analyzes the vegetation coverage performance of the ecological restoration area, and obtains the vegetation coverage detection value accordingly; Step 3: The vegetation recovery trend assessment module analyzes the vegetation recovery trend status of the ecological restoration area during the detection period, and generates a vegetation recovery trend abnormal signal or a vegetation recovery trend normal signal accordingly; Step 4: When generating the abnormal vegetation recovery trend signal, analyze the impact of the regional environment on the ecological vegetation recovery during the detection period, and generate a regional environmental high impact signal or a regional environmental low impact signal accordingly; Step 5: When abnormal vegetation recovery trend signals or high-impact regional environmental signals are generated, the background monitoring terminal issues a corresponding warning.

[0025] The working principle of the present invention is as follows: when in use, the ecological restoration area of ​​the photovoltaic power station is monitored by the ecological vegetation monitoring module, and the monitoring image of the ecological restoration area is sent to the vegetation coverage performance analysis module. The vegetation coverage performance analysis module analyzes the vegetation coverage performance of the ecological restoration area and sends the vegetation coverage detection value to the vegetation restoration trend evaluation module. The vegetation restoration trend evaluation module analyzes the vegetation restoration trend status of the ecological restoration area during the detection period, can accurately evaluate the vegetation restoration trend status of the ecological restoration area during the detection period and promptly remind the supervisor to strengthen the vegetation restoration supervision in the future to ensure the subsequent vegetation restoration effect, and when the vegetation restoration trend abnormal signal is generated, the regional environmental impact analysis module analyzes the degree of influence of the regional environment on the ecological vegetation restoration during the detection period, can automatically diagnose the cause when it is judged that the vegetation restoration trend performance is poor and reasonably feedback the correlation between the poor vegetation restoration trend and the environment, significantly reducing the management difficulty of the supervisor and facilitating subsequent management planning, further ensuring the vegetation restoration effect and vegetation restoration efficiency in the ecological restoration area, and having a high degree of intelligence.

[0026] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. An ecological vegetation restoration monitoring system based on photovoltaic power generation, characterized in that: It includes ecological vegetation monitoring module, vegetation coverage performance analysis module, vegetation restoration trend assessment module and background supervision terminal; The ecological vegetation monitoring module obtains the area that needs to be monitored around the photovoltaic power station and marks it as an ecological restoration area. It monitors the ecological restoration area through monitoring cameras and sends the monitoring images of the ecological restoration area to the vegetation coverage performance analysis module. The vegetation coverage performance analysis module analyzes the vegetation coverage performance of the ecological restoration area, obtains the vegetation coverage detection value through analysis, and sends the vegetation coverage detection value to the vegetation restoration trend assessment module and the background supervision end; The vegetation recovery trend assessment module is used to set the detection period, analyze the vegetation recovery trend status of the ecological restoration area during the detection period, generate a vegetation recovery trend abnormal signal or a vegetation recovery trend normal signal through analysis, and send the vegetation recovery trend abnormal signal or the vegetation recovery trend normal signal to the background supervision end. When the background supervision end receives the vegetation recovery trend abnormal signal, it will issue a corresponding warning.

2. The photovoltaic power generation-based ecological vegetation restoration monitoring system according to claim 1 is characterized in that: The specific analysis process of the vegetation cover performance analysis module is as follows: By monitoring the image, the areas without vegetation coverage in the ecological restoration area are identified, and the corresponding areas without vegetation coverage are marked as desertification sub-areas; the area of ​​the corresponding desertification sub-area is obtained and marked as the desertification face value, and the desertification face value of all desertification sub-areas in the ecological restoration area are summed up to obtain the total desertification face value; The wasteland surface detection value is numerically compared with the preset wasteland surface detection threshold. If the wasteland surface detection value exceeds the preset wasteland surface detection threshold, the corresponding wasteland sub-area is marked as a wasteland risk area. The number of wasteland risk areas in the ecological restoration area is obtained and marked as a wasteland risk table value, and the vegetation situation value is obtained through analysis. The total wasteland surface value, wasteland risk table value and vegetation situation value are numerically calculated to obtain the vegetation coverage detection value.

3. The photovoltaic power generation-based ecological vegetation restoration monitoring system according to claim 2 is characterized in that: The analysis and acquisition method of vegetation situation value is as follows: The average height of the covered vegetation in the ecological restoration area is collected and marked as the vegetation high inspection value, and the proportion of the green part of all the vegetation in the ecological restoration area is averaged to obtain the vegetation greening value, and the single plant expansion area of ​​all the vegetation in the ecological restoration area is averaged to obtain the vegetation expansion surface value; the vegetation situation value is obtained by numerically calculating the vegetation high inspection value, vegetation greening value and vegetation expansion surface value.

4. The photovoltaic-based ecological vegetation restoration monitoring system according to claim 1 is characterized in that: The specific analysis process of the vegetation restoration trend assessment module includes: Obtain all vegetation coverage detection values ​​within the detection period, establish a rectangular coordinate system located in the first quadrant with time as the X-axis and vegetation coverage detection value as the Y-axis, substitute all vegetation coverage detection values ​​into the rectangular coordinate system in chronological order to form a number of coordinate points, and mark the corresponding coordinate points as re-check points; In the rectangular coordinate system, a ray parallel to the X-axis and with its endpoint on the Y-axis is drawn and marked as a re-judgment ray, and the number of re-check points located above the re-judgment ray is marked as the vegetation re-abnormal detection value; and two adjacent groups of re-check points are connected by line segments and the corresponding line segments are marked as adjacent line segments. If the adjacent line segments show an upward trend, the corresponding adjacent line segments are marked as abnormal rising line segments; The number of abnormal growth line segments is obtained and marked as the vegetation abnormal growth detection value. If the vegetation recovery detection value or the vegetation abnormal growth detection value exceeds the corresponding preset threshold, a vegetation recovery trend abnormal signal is generated.

5. The photovoltaic-based ecological vegetation restoration monitoring system according to claim 4 is characterized in that: If both the vegetation re-detection value and the vegetation abnormal rise detection value do not exceed the corresponding preset threshold, the re-check point located below the re-judgment ray is marked as an abnormal detection point, and a line segment perpendicular to the re-judgment ray is drawn with the corresponding abnormal detection point as the endpoint and marked as a complex distance line segment; The length of the complex distance line segment is obtained and marked as the complex distance detection value, and the complex distance detection values ​​of all the complex distance line segments are averaged to obtain the complex distance analysis value; a straight line is drawn in the rectangular coordinate system parallel to the X-axis and intersecting with the corresponding abnormal rise line segment, and the acute angle formed by the corresponding abnormal rise line segment and the corresponding straight line is marked as the abnormal rise amplitude value, and all the abnormal rise amplitude values ​​are averaged to obtain the abnormal rise amplitude table value; The vegetation recovery trend coefficient is obtained by numerically calculating the vegetation complex abnormality detection value, the vegetation abnormal rise detection value, the complex distance analysis value and the rise abnormality amplitude table value. If the vegetation recovery trend coefficient exceeds the preset vegetation recovery trend coefficient threshold, a vegetation recovery trend abnormality signal is generated; If the vegetation recovery trend coefficient does not exceed the preset vegetation recovery trend coefficient threshold, a vegetation recovery trend normal signal is generated.

6. The photovoltaic-based ecological vegetation restoration monitoring system according to claim 1 is characterized in that: The vegetation restoration trend assessment module is communicatively connected to the regional environmental impact analysis module. The vegetation restoration trend assessment module sends the abnormal vegetation restoration trend signal to the regional environmental impact analysis module. The regional environmental impact analysis module analyzes the degree of impact of the regional environment on the ecological vegetation restoration during the detection period, and generates a regional environmental high impact signal or a regional environmental low impact signal through analysis. The regional environmental high impact signal or the regional environmental low impact signal is sent to the background supervision end. When the background supervision end receives the regional environmental high impact signal, it issues a corresponding warning.

7. The photovoltaic power generation-based ecological vegetation restoration monitoring system according to claim 6 is characterized in that: The regional environmental impact analysis module is connected to the upper air monitoring module and the lower air monitoring module in communication. The upper air monitoring module monitors the space above the soil in the ecological restoration area, assigns an upper air judgment symbol TK-1 or TK-2 through analysis, and sends the upper air judgment symbol TK-1 or TK-2 to the regional environmental impact analysis module; The lower air monitoring module monitors the internal space of the soil in the ecological restoration area, assigns the lower air judgment symbol TL-1 or TL-2 through analysis, and sends the lower air judgment symbol TL-1 or TL-2 to the regional environmental impact analysis module; The regional environmental impact analysis module receives the corresponding upper air judgment symbols and lower air judgment symbols. If TK-2∩TL-2 is received, a regional environmental low impact signal is generated; in other cases, a regional environmental high impact signal is generated.

8. The ecological vegetation restoration monitoring system based on photovoltaic power generation according to claim 7 is characterized in that: The specific analysis process of the overhead monitoring module is as follows: The total duration of the atmospheric environment in the ecological restoration area on the corresponding date being in a preliminarily poor state is obtained and marked as the preliminarily poor time table value, and the average duration of the light intensity at several locations in the ecological restoration area on the corresponding date not exceeding the preset light intensity threshold is marked as the poor light time table value; If the meter value when initially judged to be poor or the meter value when the lighting is poor exceeds the corresponding preset threshold, the corresponding date will be marked as an upper non-optimal day; the number of upper non-optimal days during the detection period is obtained and marked as the upper non-optimal day condition value. If the upper non-optimal day condition value exceeds the preset upper non-optimal day condition threshold, the upper judgment symbol TK-1 is assigned; if the upper non-optimal day condition value does not exceed the preset upper non-optimal day condition threshold, the upper judgment symbol TK-2 is assigned.

9. The photovoltaic power generation-based ecological vegetation restoration monitoring system according to claim 7 is characterized in that: The specific analysis process of the lower air monitoring module is as follows: The lower layer actual inspection value is obtained by numerically calculating the lower layer temperature value, the lower layer water condition value and the lower layer fertility value, the number of lower layer actual inspection values ​​exceeding the preset lower layer actual inspection threshold value during the detection period is marked as the lower layer poor inspection value, and the lower layer monitoring value is obtained by averaging all lower layer actual inspection values ​​during the detection period; If the lower layer poor inspection value or the lower layer monitoring value exceeds the corresponding preset threshold, the lower empty judgment symbol TL-1 is assigned; if neither the lower layer poor inspection value nor the lower layer monitoring value exceeds the corresponding preset threshold, the lower empty judgment symbol TL-2 is assigned.

10. A method for monitoring ecological vegetation restoration based on photovoltaic power generation, characterized in that: The method adopts the ecological vegetation restoration monitoring system based on photovoltaic power generation as described in any one of claims 1 to 9.

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