Ecological restoration effect evaluation system based on data processing

Abstract

The invention discloses an ecological restoration effect evaluation system based on data processing, and relates to the technical field of ecological restoration. The integrity of ecological restoration is effectively improved; ecological elements are obtained through the data acquisition module, and element data corresponding to the ecological elements are acquired in real time; processing each piece of element data, obtaining a period abnormal value corresponding to the element data, and judging an abnormal level of the element data corresponding to the period abnormal value; obtaining a to-be-restored grade corresponding to the ecological element according to the abnormal grade; target restoration items corresponding to the ecological elements are obtained; obtaining a to-be-repaired implementation scheme according to the target repair item, repairing the to-be-repaired implementation scheme to obtain current element data, establishing an evaluation model, evaluating the current element data based on the evaluation model, and judging repair abnormity; and optimizing the to-be-repaired implementation scheme corresponding to the repair abnormity to obtain an optimized repair implementation scheme.

Description

Technical Field

[0001] The invention relates to the technical field of ecological restoration, and in particular to an ecological restoration effect evaluation system based on data processing. Background Art

[0002] Ecological restoration is a comprehensive method of repairing polluted environment under the guidance of ecological principles, based on biological restoration, combined with various physical restoration, chemical restoration and engineering technical measures, through optimized combination to achieve the best effect and the lowest cost. The smooth implementation of ecological restoration requires the participation of multiple disciplines such as ecology, physics, chemistry, botany, microbiology, molecular biology, cultivation and environmental engineering; the restoration and maintenance of damaged ecosystems involves a variety of ecological theories such as ecological stability, ecological plasticity and steady-state transformation;

[0003] In the prior art, there is a lack of clarity and real-time performance in assessing and repairing damaged ecology: ecosystems change at different temporal and spatial scales, and some existing assessment indicator systems are relatively delayed and cannot repair the ecology in a timely manner; there are incomplete repairs; and dynamic adjustment and optimization cannot be performed according to the different stages and specific circumstances of ecological restoration; therefore, the present invention provides an ecological restoration effect assessment system based on data processing. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides an ecological restoration effect evaluation system based on data processing;

[0005] The object of the present invention can be achieved by the following technical solutions: an ecological restoration effect evaluation system based on data processing, including a cloud service, wherein the cloud service is connected with a data acquisition module, a dynamic data processing module, a restoration evaluation module and a solution optimization module;

[0006] The data collection module is used to obtain ecological elements and collect element data corresponding to each ecological element in real time;

[0007] The dynamic data processing module is used to process each element data and obtain the periodic abnormal value corresponding to the element data, determine the abnormal level of the element data corresponding to the periodic abnormal value; and obtain the level of restoration corresponding to the ecological element according to the abnormal level; and then obtain the target restoration item corresponding to the ecological element;

[0008] The repair evaluation module is used to obtain the implementation plan to be repaired according to the target repair item, and to perform repair to obtain the current element data, establish an evaluation model, evaluate the current element data based on the evaluation model and determine the repair anomaly;

[0009] The solution optimization module is used to optimize the to-be-repaired implementation plan corresponding to the repair anomaly and obtain an optimized repair implementation plan.

[0010] Furthermore, the process of the data collection module collecting element data corresponding to each ecological element in real time includes:

[0011] Obtain the key areas corresponding to the ecological elements, divide the key areas according to different spatial scales to generate the space to be analyzed, and mark them as i, where i = 1, 2, ..., j, and j is a positive integer; set the collection nodes and collection cycles corresponding to each analysis space, obtain each collection time point according to the collection cycle, and collect the element data corresponding to each space to be analyzed according to the collection time point.

[0012] Furthermore, the process of the dynamic data processing module processing each element data and obtaining the periodic abnormal value corresponding to the element data includes:

[0013] Map the feature data to the corresponding collection time points to obtain the feature data set corresponding to the space to be analyzed; through the formula Get the mean value of the feature data corresponding to the feature data set Wherein, t represents the number corresponding to the acquisition time point, t = 1, 2, ..., k, and k is a positive integer; Q it Represented as feature data;

[0014] Extract the same element data of the key area from each element data set to obtain the same element data set; obtain the periodic abnormal value corresponding to each element data of the key area according to the same element data set;

[0015] That is, the specific formula is:

[0016]

[0017] in, It is expressed as the standard deviation of the element data corresponding to the element data set; φ it Represented as a period outlier.

[0018] Furthermore, the process of determining the abnormal level of the element data corresponding to the periodic abnormal value includes:

[0019] Set the period outlier threshold; if φ it =0, it indicates normal element data; if It is represented as abnormal feature data and compared with the periodic abnormal value threshold. If the abnormal feature data is greater than or equal to the periodic abnormal value threshold, the abnormal feature data is marked as primary abnormal feature data; otherwise, it is marked as secondary abnormal feature data.

[0020] Furthermore, the process of obtaining the level of ecological elements to be restored corresponding to the abnormal level includes:

[0021] Set the environmental data group and the corresponding environmental impact factor, and map them to obtain the environmental impact factor database; obtain the total number of first-level abnormal element data and second-level abnormal element data corresponding to the key area, marked as n1 and n2 respectively, and obtain the environmental data group corresponding to the collection time point, and then dispatch the corresponding environmental impact factor in the environmental impact factor database according to the environmental data group, and then obtain the corresponding level of repair for the key area;

[0022] That is, the specific formula is:

[0023]

[0024] Among them, L represents the ecological factor; σ L It is expressed as the level of ecological elements to be restored in key areas; w u Expressed as environmental impact factor.

[0025] Furthermore, the process of obtaining the target restoration items corresponding to the ecological elements includes:

[0026] A threshold for the level to be repaired is set, and key areas whose level to be repaired is greater than the threshold are marked as target repair items; otherwise, the space to be analyzed corresponding to the first-level abnormal feature data and the second-level abnormal feature data is obtained and marked as a target repair item.

[0027] Furthermore, the repair assessment module obtains the implementation plan to be repaired according to the target repair item, and performs repair to obtain the current element data, including:

[0028] Obtain a feature set corresponding to the target item to be restored, the feature set including ecological elements, spatial scale, environmental data group and collection period; based on the big data scheduling feature set corresponding to the target item to be restored, a restoration implementation plan for the target item to be restored is determined, and the target item to be restored is restored according to the restoration implementation plan and current element data is collected.

[0029] Furthermore, the process of evaluating the current feature data based on the evaluation model and determining and repairing the anomaly includes:

[0030] Send the feature set to the dynamic data processing module, obtain the specific formula of the periodic abnormal value corresponding to the same feature set, mark it as the evaluation formula, and send the current feature data to the evaluation formula to obtain the current periodic abnormal value;

[0031] Set the reasonable element data range corresponding to each key area of ​​ecological elements, and obtain the middle value corresponding to the reasonable element data range as the reasonable element data; obtain the corresponding reasonable element data according to the current element data, send the reasonable element data to the evaluation formula, obtain the reasonable period anomaly value; and compare it with the current period anomaly value;

[0032] If the current cycle abnormal value is less than or equal to the reasonable cycle abnormal value, the corresponding target item to be repaired is marked as repaired normally; otherwise, the corresponding target item to be repaired is marked as repaired abnormally.

[0033] Furthermore, the solution optimization module optimizes the to-be-repaired implementation plan corresponding to the repair anomaly, and the process of obtaining the optimized repair implementation plan includes:

[0034] Obtain the repair implementation data of the implementation plan to be repaired corresponding to the repair anomaly; regulate the repair implementation data based on big data to obtain optimized repair implementation data, re-repair the target item to be repaired corresponding to the repair anomaly according to the optimized repair implementation data, obtain the latest current cycle anomaly value, and then determine whether the target item to be repaired is repaired normally. If it is repaired normally, mark the corresponding implementation plan to be repaired as the optimal repair implementation plan; otherwise, continue to regulate the repair implementation data, and cycle in sequence until the optimal repair implementation plan is obtained.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] 1. The present invention obtains ecological elements through a data acquisition module, collects element data corresponding to each ecological element in real time; processes each element data and obtains the periodic abnormal value corresponding to the element data, determines the abnormal level of the element data corresponding to the periodic abnormal value; and obtains the level of restoration corresponding to the ecological element according to the abnormal level; and then obtains the target restoration item corresponding to the ecological element; this process effectively improves the timeliness and clarity of ecological restoration;

[0037] 2. Obtain the implementation plan to be restored according to the target restoration item, and perform restoration to obtain the current element data, establish an assessment model, evaluate the current element data based on the assessment model and judge restoration anomalies; optimize the implementation plan to be restored corresponding to the restoration anomaly to obtain the optimized restoration implementation plan; this process effectively improves the integrity of ecological restoration. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0039] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0040] 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.

[0041] like Figure 1 As shown, an ecological restoration effect evaluation system based on data processing includes a cloud service, wherein the cloud service is connected with a data acquisition module, a dynamic data processing module, a restoration evaluation module, and a solution optimization module;

[0042] The data collection module is used to obtain ecological elements and collect element data corresponding to each ecological element in real time;

[0043] The dynamic data processing module is used to process each element data and obtain the periodic abnormal value corresponding to the element data, determine the abnormal level of the element data corresponding to the periodic abnormal value; and obtain the level of restoration corresponding to the ecological element according to the abnormal level; and then obtain the target restoration item corresponding to the ecological element;

[0044] The repair evaluation module is used to obtain the implementation plan to be repaired according to the target repair item, and to perform repair to obtain the current element data, establish an evaluation model, evaluate the current element data based on the evaluation model and determine the repair anomaly;

[0045] The solution optimization module is used to optimize the to-be-repaired implementation plan corresponding to the repair anomaly and obtain an optimized repair implementation plan.

[0046] It should be further explained that the data collection module obtains ecological elements and collects element data corresponding to each ecological element in real time, including:

[0047] Obtain the key areas corresponding to the ecological elements, divide the key areas according to different spatial scales to generate the space to be analyzed, and mark them as i, where i = 1, 2, ..., j, and j is a positive integer; set the collection nodes and collection cycles corresponding to each analysis space, obtain each collection time point according to the collection cycle, and collect the element data corresponding to each space to be analyzed according to the collection time point.

[0048] In the above embodiment, it needs to be further explained that the element data includes but is not limited to when the ecological element is soil, the soil sensor can be used to obtain the element data such as soil moisture, temperature, pH, nutrient content (such as nitrogen, phosphorus, potassium), etc.; when the ecological element is water, the water quality monitor is used to collect the element data such as chemical oxygen demand (COD), biochemical oxygen demand (BOD), dissolved oxygen (DO), heavy metal content, etc.

[0049] It should be further explained that the dynamic data processing module processes each element data and obtains the periodic abnormal value corresponding to the element data, determines the abnormal level of the element data corresponding to the periodic abnormal value; and obtains the level to be restored corresponding to the ecological element according to the abnormal level; and then obtains the target restoration item corresponding to the ecological element; including:

[0050] Map the feature data to the corresponding collection time points to obtain the feature data set corresponding to the space to be analyzed; through the formula Get the mean value of the feature data corresponding to the feature data set Wherein, t represents the number corresponding to the acquisition time point, t = 1, 2, ..., k, and k is a positive integer; Q it Represented as feature data;

[0051] Extract the same element data of the key area from each element data set to obtain the same element data set; obtain the periodic abnormal value corresponding to each element data of the key area according to the same element data set;

[0052] That is, the specific formula is:

[0053]

[0054] in, It is expressed as the standard deviation of the element data corresponding to the element data set; φ it It is indicated as a periodic anomaly;

[0055] Set the period outlier threshold; if φ it =0, it indicates normal element data; if It is represented as abnormal feature data and compared with the period abnormal value threshold. If the abnormal feature data is greater than or equal to the period abnormal value threshold, the abnormal feature data is marked as first-level abnormal feature data; otherwise, it is marked as second-level abnormal feature data.

[0056] In the above embodiment, it is further explained that the ecological elements include but are not limited to vegetation, soil, water, atmosphere, etc.; further, the collection period is used to represent the set monitoring period, wherein the same collection period or different collection periods can be set;

[0057] Set the environmental data group and the corresponding environmental impact factor, and map them to obtain the environmental impact factor database; obtain the total number of first-level abnormal element data and second-level abnormal element data corresponding to the key area, marked as n1 and n2 respectively, and obtain the environmental data group corresponding to the collection time point, and then dispatch the corresponding environmental impact factor in the environmental impact factor database according to the environmental data group, and then obtain the corresponding level of repair for the key area;

[0058] That is, the specific formula is:

[0059]

[0060] Among them, L represents the ecological factor; σ L It is expressed as the level of ecological elements to be restored in key areas; w u It is expressed as environmental impact factor;

[0061] In the above embodiment, it needs to be further explained that the environmental data group includes but is not limited to (temperature, humidity, moisture) and the like.

[0062] A threshold for the level to be repaired is set, and key areas whose level to be repaired is greater than the threshold are marked as target repair items; otherwise, the space to be analyzed corresponding to the first-level abnormal feature data and the second-level abnormal feature data is obtained and marked as a target repair item.

[0063] It should be further explained that the repair evaluation module obtains the implementation plan to be repaired according to the target repair item, performs repair to obtain current element data, establishes an evaluation model, evaluates the current element data based on the evaluation model and determines the repair anomaly, including:

[0064] Obtain a feature set corresponding to the target item to be restored, the feature set including ecological elements, spatial scale, environmental data group and collection period; based on the big data scheduling feature set corresponding to the target item to be restored, a restoration implementation plan for the target item to be restored is restored according to the restoration implementation plan and current element data is collected;

[0065] In the above embodiment, it needs to be further explained that the current element data is used to represent the element data re-collected and acquired from the target item to be repaired after repair;

[0066] The process of establishing the evaluation model includes:

[0067] Send the feature set to the dynamic data processing module, obtain the specific formula of the periodic abnormal value corresponding to the same feature set, mark it as the evaluation formula, and send the current feature data to the evaluation formula to obtain the current periodic abnormal value;

[0068] Set the reasonable element data range corresponding to each key area of ​​ecological elements, and obtain the middle value corresponding to the reasonable element data range as the reasonable element data; obtain the corresponding reasonable element data according to the current element data, send the reasonable element data to the evaluation formula, obtain the reasonable period anomaly value; and compare it with the current period anomaly value;

[0069] If the current cycle abnormal value is less than or equal to the reasonable cycle abnormal value, the corresponding target item to be repaired is marked as repaired normally; otherwise, the corresponding target item to be repaired is marked as repaired abnormally;

[0070] In the above embodiment, it needs to be further explained that the normal repair indicates that the target item to be repaired is normal, and the abnormal repair indicates that the target item to be repaired is abnormal.

[0071] It should be further explained that the solution optimization module optimizes the to-be-repaired implementation plan corresponding to the repair anomaly to obtain the optimized repair implementation plan, including:

[0072] Obtain the repair implementation data of the implementation plan to be repaired corresponding to the repair anomaly; regulate the repair implementation data based on big data to obtain optimized repair implementation data, re-repair the target item to be repaired corresponding to the repair anomaly according to the optimized repair implementation data, obtain the latest current cycle anomaly value, and then determine whether the target item to be repaired is repaired normally. If it is repaired normally, mark the corresponding implementation plan to be repaired as the optimal repair implementation plan; otherwise, continue to regulate the repair implementation data, and cycle in sequence until the optimal repair implementation plan is obtained.

[0073] In the above embodiment, it needs to be further explained that if the vegetation restoration effect in the key area is not good, the corresponding real-time restoration data includes but is not limited to vegetation planting density, plant varieties, irrigation plans, etc.; if the soil pollution restoration effect in the key area is not good, the corresponding restoration implementation data includes but is not limited to the amount of soil conditioners used, restoration cycle, etc.

[0074] Working principle: The present invention obtains ecological elements through the data acquisition module, collects the element data corresponding to each ecological element in real time and sends it to the dynamic data processing module, processes each element data and obtains the periodic abnormal value corresponding to the element data, judges the abnormal level of the element data corresponding to the periodic abnormal value; and obtains the level of restoration corresponding to the ecological element according to the abnormal level; then obtains the target restoration item corresponding to the ecological element; obtains the implementation plan for restoration according to the target restoration item through the restoration evaluation module, and performs restoration to obtain the current element data, establishes an evaluation model, evaluates the current element data based on the evaluation model and judges the restoration abnormality.

[0075] The features and exemplary embodiments of various aspects of the present application are described in detail above. In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail in combination with the drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application rather than to limit the present application. For those skilled in the art, the present application can be implemented without some of these specific details. The above description of the embodiments is merely to provide a better understanding of the present application by showing examples of the present application.

[0076] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An ecological restoration effect evaluation system based on data processing, characterized in that: It includes a cloud service, wherein the cloud service is connected with a data acquisition module, a dynamic data processing module, a repair evaluation module and a solution optimization module; The data collection module is used to obtain ecological elements and collect element data corresponding to each ecological element in real time; The dynamic data processing module is used to process each element data and obtain the periodic abnormal value corresponding to the element data, and determine the abnormal level of the element data corresponding to the periodic abnormal value; And according to the abnormal level, the level of ecological elements to be restored corresponding to each other is obtained; and then the target restoration items corresponding to the ecological elements are obtained; The repair evaluation module obtains the implementation plan to be repaired according to the target repair item, performs repair to obtain current element data, establishes an evaluation model, evaluates the current element data based on the evaluation model and determines the repair anomaly; The solution optimization module is used to optimize the to-be-repaired implementation plan corresponding to the repair anomaly and obtain an optimized repair implementation plan.

2. According to claim 1, the ecological restoration effect evaluation system based on data processing is characterized in that: The process of the data collection module collecting element data corresponding to each ecological element in real time includes: Obtain the key areas corresponding to the ecological elements, divide the key areas according to different spatial scales to generate the space to be analyzed, and mark them as i, where i = 1, 2, ..., j, and j is a positive integer; set the collection nodes and collection cycles corresponding to each space to be analyzed, obtain each collection time point according to the collection cycle, and collect the element data corresponding to each space to be analyzed according to the collection time point.

3. The ecological restoration effect evaluation system based on data processing according to claim 2 is characterized in that: The process of the dynamic data processing module processing each element data and obtaining the periodic abnormal value corresponding to the element data includes: Map the feature data to the corresponding collection time points to obtain the feature data set corresponding to the space to be analyzed; through the formula Get the mean value of the feature data corresponding to the feature data set Wherein, t represents the number corresponding to the acquisition time point, t = 1, 2, ..., k, and k is a positive integer; Q it Represented as feature data; Extract the same element data of the key area from each element data set to obtain the same element data set; obtain the periodic abnormal value corresponding to each element data of the key area according to the same element data set; That is, the specific formula is: in, It is expressed as the standard deviation of the element data corresponding to the element data set; φ it Represented as a period outlier.

4. The ecological restoration effect evaluation system based on data processing according to claim 3 is characterized in that: The process of determining the abnormal level of the element data corresponding to the periodic abnormal value includes: Set the cycle outlier threshold; if φ it =0, it indicates normal element data; if It is represented as abnormal feature data and compared with the periodic abnormal value threshold. If the abnormal feature data is greater than or equal to the periodic abnormal value threshold, the abnormal feature data is marked as primary abnormal feature data; otherwise, it is marked as secondary abnormal feature data.

5. The ecological restoration effect evaluation system based on data processing according to claim 4 is characterized in that: The process of obtaining the level of ecological elements to be restored according to the abnormal level includes: Set the environmental data group and the corresponding environmental impact factor, and map them to obtain the environmental impact factor database; obtain the total number of first-level abnormal element data and second-level abnormal element data corresponding to the key area, marked as n1 and n2 respectively, and obtain the environmental data group corresponding to the collection time point, and then dispatch the corresponding environmental impact factor in the environmental impact factor database according to the environmental data group, and then obtain the corresponding level of repair for the key area; That is, the specific formula is: Among them, L represents the ecological factor; σ L It is expressed as the level of ecological elements to be restored in key areas; w u Expressed as environmental impact factor.

6. The ecological restoration effect evaluation system based on data processing according to claim 5 is characterized in that: The process of obtaining the restoration items corresponding to the ecological elements includes: A threshold for the level to be repaired is set, and key areas whose level to be repaired is greater than the threshold are marked as target repair items; otherwise, the space to be analyzed corresponding to the first-level abnormal feature data and the second-level abnormal feature data is obtained and marked as a target repair item.

7. The ecological restoration effect evaluation system based on data processing according to claim 6 is characterized in that: The process in which the repair assessment module obtains the implementation plan to be repaired according to the target repair item and performs repair to obtain the current element data includes: Obtain a feature set corresponding to the target item to be restored, the feature set including ecological elements, spatial scale, environmental data group and collection period; based on the big data scheduling feature set corresponding to the target item to be restored, a restoration implementation plan for the target item to be restored is determined, and the target item to be restored is restored according to the restoration implementation plan and current element data is collected.

8. The ecological restoration effect evaluation system based on data processing according to claim 7 is characterized in that: The process of evaluating the current feature data and determining and repairing anomalies based on the evaluation model includes: Send the feature set to the dynamic data processing module, obtain the specific formula of the periodic abnormal value corresponding to the same feature set, mark it as the evaluation formula, and send the current feature data to the evaluation formula to obtain the current periodic abnormal value; Set the reasonable element data range corresponding to each key area of ​​ecological elements, and obtain the middle value corresponding to the reasonable element data range as the reasonable element data; obtain the corresponding reasonable element data according to the current element data, send the reasonable element data to the evaluation formula, obtain the reasonable period anomaly value; and compare it with the current period anomaly value; If the current cycle abnormal value is less than or equal to the reasonable cycle abnormal value, the corresponding target item to be repaired is marked as repaired normally; otherwise, the corresponding target item to be repaired is marked as repaired abnormally.

9. The ecological restoration effect evaluation system based on data processing according to claim 8 is characterized in that: The solution optimization module optimizes the to-be-repaired implementation plan corresponding to the repair anomaly, and the process of obtaining the optimized repair implementation plan includes: Obtain the repair implementation data of the implementation plan to be repaired corresponding to the repair anomaly; regulate the repair implementation data based on big data to obtain optimized repair implementation data, re-repair the target item to be repaired corresponding to the repair anomaly according to the optimized repair implementation data, obtain the latest current cycle anomaly value, and then determine whether the target item to be repaired is repaired normally. If it is repaired normally, mark the corresponding implementation plan to be repaired as the optimal repair implementation plan; otherwise, continue to regulate the repair implementation data, and cycle in sequence until the optimal repair implementation plan is obtained.

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