A natural resource information management system and method

Abstract

The invention discloses a natural resource information management system and method, which relates to the technical field of resource management; it comprises a data acquisition module, a data analysis module, a prediction analysis module, a monitoring management module and a comprehensive display module: the data acquisition module is used to collect historical geological data of each land use area, the most recently detected geological data and the impact data of the land use type change recorded in history, and its technical points are: analyzing the historical geological data of each land use area, understanding the soil and water flow speed of each area and the recovery speed of water and soil under natural conditions, and studying the natural change law, so as to predict the soil and water loss situation of each area in the future, and can quickly help relevant personnel understand the soil and water loss situation, so as to facilitate relevant technical personnel to formulate relevant strategies for water and soil stabilization, and has good use prospects.

Description

Technical Field

[0001] The present invention relates to the technical field of resource management, and in particular to a natural resource information management system and method. Background Art

[0002] Natural resources are all tangible and intangible things given by nature or left by our ancestors that can be used directly or indirectly to meet human needs. Resources can be divided into natural resources and economic resources. The entire nature that can meet human needs is natural resources, including air, water, land, forests, grasslands, wildlife, various minerals and energy. Natural resources are dynamic and can provide materials and space for human survival, development and enjoyment.

[0003] Natural resources refer to materials in nature that humans can directly obtain for production and life. They can be divided into three categories: one is non-renewable resources, such as various metals and non-metallic minerals, fossil fuels, etc., which require a long geological period to form; the second is renewable resources, which refer to biological, water, land resources, etc., which can be reproduced or recycled in a short period of time; the third is inexhaustible resources, such as wind power and solar energy, which will not lead to a reduction in storage after being used. The central task of nature conservation is to protect, increase (referring to renewable resources) and rationally utilize natural resources to improve the ability of resource regeneration and continued utilization, and to achieve the unity of environmental benefits and social and economic benefits.

[0004] With the progress of society, people pay more and more attention to the protection of natural resources, especially renewable resources. For organisms, corresponding protection measures are given, and for water resources and land resources, corresponding regulatory strategies are adopted. In order to better manage water resources and land resources, people have invented some resource management systems and methods;

[0005] The existing patent number is CN110751320B, and the patent name is a method for optimizing agricultural land based on random fuzzy analysis. The invention patent records that an agricultural land optimization model based on random fuzzy analysis is first constructed, and then the discretization level parameter is introduced through the normal inverse function and elastic fuzzy derivative algorithm to convert the agricultural land optimization model based on random fuzzy analysis into multiple linear sub-models; then the input data is obtained through the historical document database; finally, the crops that are least and least likely to be affected by uncertainty are determined. The present invention fully considers the necessity of joint management of water resources and land resources in the agricultural management system, rationally allocates agricultural resources in the basin, finds out the areas most susceptible to uncertainty and improves them, improves the utilization efficiency of limited resources, and obtains a decision-making plan that maximizes the benefits of agricultural activities;

[0006] The central idea of ​​the scheme recorded in the above patent is to combine agricultural needs, take maximizing benefits as the goal, and use the amount of irrigable land resources, water, electricity resources, crop water requirements, etc. as constraints to rationally allocate agricultural resources in the basin, identify areas most susceptible to uncertainty and improve them, thereby improving the utilization efficiency of limited resources.

[0007] However, in actual use, there are many solutions for resource management related to actual application, which are mainly based on demand to achieve management. However, in actual use, the impact on renewable resources is mainly the change of land use type. The change of land use type will inevitably cause soil and water loss, and social development is inevitably inseparable from the adjustment of land use type and the supervision of water and soil resources in related areas. In this regard, there is currently no comprehensive detection system, which requires repeated maintenance of water and soil resources during the subsequent construction process, which is troublesome and requires a large manpower cost and cannot meet people's requirements. For this reason, we have developed a natural resource information management system and method. Summary of the invention

[0008] 1. Technical issues to be resolved

[0009] In view of the deficiencies in the prior art, the present invention provides a natural resource information management system and method, which analyzes the historical geological data of various land use areas, understands the soil and water flow rate in each area and the recovery rate of soil and water under natural conditions, and studies the laws of their natural changes, so as to predict the soil and water loss conditions in various regions in the future, and can quickly help relevant personnel understand the soil and water loss conditions, thereby facilitating relevant technical personnel to formulate relevant strategies for soil and water stabilization. It has good use effect, good use prospects, and effectively solves the problems raised in the background technology.

[0010] (II) Technical solution

[0011] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0012] A natural resource information management system, including a data collection module, a data analysis module, a prediction analysis module, a monitoring management module and a comprehensive display module:

[0013] Data collection module: used to collect historical geological data of each land use area, recently detected geological data and the impact data of land use type changes recorded in history;

[0014] Data analysis module: used to analyze the historical geological data of each land use area, set the geological data standard value and geological data risk value of each land use area, and calculate the difference between the geological data standard value and the geological data risk value and the historical geological data, and obtain the risk geological difference value and the historical geological difference value, and further analyze the historical geological difference value to predict the future geological difference value of the future detection cycle, and further calculate the difference between the future geological difference value and the historical geological difference value of the previous cycle to obtain the difference value change difference data DIF1;

[0015] Prediction and analysis module: used to simulate the land use type change of each land use area one by one, analyze the impact data of land use type change recorded in history, calculate the difference value impact value of each land use type change area on the surrounding area, and compare the difference value impact value with the difference value change difference data DIF1;

[0016] At the same time, based on the future geological difference value and the difference value impact value, the future impact difference value is predicted, and the future impact difference value and the risk geological difference value of the surrounding area after the land use type is changed are compared, and the corresponding processing strategy is executed according to the comparison results;

[0017] Monitoring and management module: used to obtain the most recently detected geological data of each land use area, and calculate the real-time geological difference value based on the most recently detected geological data of each land use area and the standard value of geological data, calculate the floating interval based on the difference value data of the future detection cycle, and compare the real-time geological difference value with the floating interval and the risk geological difference value respectively to determine whether the real-time geological difference value is within the floating interval;

[0018] If the real-time geological difference value is within the floating range, no processing will be performed;

[0019] If the real-time geological difference value is outside the floating range, an early warning signal is issued and the area is marked;

[0020] Comprehensive display module: used to obtain the analysis results of the key analysis module and the predictive analysis module, summarize the analysis data and analysis results of each land use area, and generate a land use file.

[0021] Furthermore, the geological data include soil moisture content, soil loss, water quality index, vegetation coverage and soil particle size, and the impact data of land use type conversion are the land type before and after the land use type conversion, the area data of the land use area and the geological data before and after the land use type conversion.

[0022] Furthermore, the steps for setting the standard values ​​of geological data for each land use area are as follows:

[0023] Obtain soil data of the land use area and determine the soil type;

[0024] Obtain the location data of unused areas with the same soil properties and calculate the distance between the unused areas and the land areas;

[0025] Screen and cluster the nearest N groups of unused areas, obtain the geological data collected in the latest period of the N groups of unused areas, calculate the average of the geological data, and summarize the average to form the standard value of the geological data;

[0026] The steps to set the geological data risk value for each land use area are as follows:

[0027] Obtain soil data of the land use area and determine the soil type;

[0028] Obtain the location data of soil erosion areas with the same soil properties and calculate the distance between the soil erosion area and the land use area;

[0029] Screen the N groups of soil erosion areas that are clustered closest to each other, obtain the geological data of the early stage of soil erosion in the N groups of soil erosion areas, calculate the average of the geological data, and summarize the average to form the geological data risk value.

[0030] Furthermore, the formulas for calculating the difference between the standard value of geological data and the risk value of geological data and the historical geological data are as follows:

[0031]

[0032] In the formula, is the historical geological difference value, is the risk geological difference value, is the number of indicators contained in the geological data, is the data of the ith indicator recorded in the standard value of geological data, is the data of the ith indicator recorded in the historical geological data, is the weight coefficient corresponding to the i-th indicator, It is the data of the ith indicator recorded in the geological data risk value.

[0033] Furthermore, the steps of further analyzing the historical geological difference values ​​and predicting the future geological difference values ​​of the future detection period are as follows:

[0034] Arrange the calculated historical geological difference values ​​according to the order of acquisition periods;

[0035] Calculate the change data of the historical geological difference values ​​of adjacent periods. The specific formula is the historical geological difference value of this period minus the historical geological difference value of the previous period corresponding to this period. Determine the size of the change data of the historical geological difference values ​​of adjacent periods, and input the change data of the historical geological difference values ​​of adjacent periods into the coordinate system to draw the curve:

[0036] If the drawn curve has peaks or troughs, the area is marked as insufficient data, and the future geological difference values ​​of the area in future detection cycles are not predicted;

[0037] If the drawn curve does not have a peak or a trough, the positive or negative change data of the historical geological difference values ​​of the adjacent periods is determined. If it is positive, it is marked as abnormal, an abnormal warning is issued, and the future geological difference values ​​of the future detection periods of the area are not predicted;

[0038] If it is negative, the difference change law of historical geological difference values ​​is analyzed, and the future geological difference values ​​of the future detection period are predicted based on the difference change law. The specific calculation formula is as follows:

[0039]

[0040] In the formula, is the future geological difference value for the future detection cycle, is the historical geological difference value corresponding to the first recent detection cycle, is the historical geological difference value corresponding to the second most recent detection cycle, is constant data, , is the preset coefficient data, > , is constant data, , is a natural constant;

[0041] Difference value change difference data .

[0042] Furthermore, the difference impact values ​​of the land use areas of each land use type conversion on the surrounding areas are calculated, including the construction impact value and the sustainable impact value. The specific calculation formulas of the construction impact value and the sustainable impact value are as follows:

[0043]

[0044] In the formula, is the construction impact value of the ith surrounding area, is the continuous influence value of the ith surrounding area, is the impact coefficient corresponding to the land use type change, , and are all constants and are greater than 1. is the area of ​​land use type conversion, is the distance between the calculated i-th surrounding area and the land use area where the land use type is changed, > , is the difference between the future cycle and the current cycle;

[0045] The formula for predicting the future impact difference value based on the future geological difference value and the difference value impact value is as follows:

[0046]

[0047] In the formula, is the calculated future impact difference value, is the construction impact value of the land area where the land use type is changed on the area, It is the regional boundary distance between the surrounding area and the land use area where the land use type is converted.

[0048] Furthermore, the difference value of the first cycle in the future affects the value The calculation formula is:

[0049]

[0050] The corresponding processing strategies are implemented according to the comparison results as follows:

[0051] Compare when comparing With the size of DIF1 and and Size:

[0052] like ≤DIF1, and ≤ When Mark the corresponding surrounding areas and generate a land use type change report after summarizing;

[0053] If exists >DIF1 or >When the abnormality is marked, the difference ratio of the abnormal data is calculated, and the surrounding area of ​​the abnormality is marked with the color corresponding to the difference ratio. Mark them on the corresponding surrounding areas and generate a land use type change report after summarizing.

[0054] Furthermore, the calculation formula of the real-time geological difference value is as follows:

[0055] In the formula, is the real-time geological difference value, For real-time detection of geological data;

[0056] The formula for calculating the floating range (FDmin, FDmax) is as follows:

[0057]

[0058] In the formula, is the number of rainfalls in this cycle, and are constants, , is the rainfall of the ith rainfall, is the rainfall that causes soil erosion. When , is a constant, is the wind force level of the i-th wind, is the wind strength duration of the i-th wind, The wind force impact value when the set wind force causes soil erosion , When .

[0059] Furthermore, if the real-time geological difference value is outside the floating range, Compare with FDmin and FDmax. If ≤FDmin, then calculate the excellent difference , and mark the area according to the color corresponding to the difference result;

[0060] like ≥FDmax, then further compare and The size of ≥ , then the mark has a serious abnormality and a serious abnormality warning is issued;

[0061] like , calculate the anomaly difference , and mark the area according to the color corresponding to the difference result.

[0062] Furthermore, a natural resource information management method comprises the following steps:

[0063] Collect historical geological data, recently detected geological data and historically recorded data on the impact of land use type changes in each land use area;

[0064] Analyze the historical geological data of each land use area, set the geological data standard value and geological data risk value of each land use area, and calculate the difference between the geological data standard value and the geological data risk value and the historical geological data, and obtain the risk geological difference value and the historical geological difference value, and further analyze the historical geological difference value to predict the future geological difference value of the future detection cycle, and further calculate the difference between the future geological difference value and the historical geological difference value of the previous cycle to obtain the difference value change difference data DIF1;

[0065] Simulate the land use type change of each land use area one by one, analyze the impact data of land use type change recorded in history, calculate the difference value impact value of each land use area with land use type change on the surrounding area, and compare the difference value impact value with the difference value change difference data DIF1;

[0066] At the same time, based on the future geological difference value and the difference value impact value, the future impact difference value is predicted, and the future impact difference value and the risk geological difference value of the surrounding area after the land use type is changed are compared, and the corresponding processing strategy is executed according to the comparison results;

[0067] The most recent geological data detected in each land use area is obtained, and the real-time geological difference value is calculated based on the most recent geological data detected in each land use area and the standard value of the geological data, and the floating interval is calculated based on the difference value data of the future detection period, and the real-time geological difference value is compared with the floating interval and the risk geological difference value respectively to determine whether the real-time geological difference value is within the floating interval;

[0068] If the real-time geological difference value is within the floating range, no processing will be performed;

[0069] If the real-time geological difference value is outside the floating range, an early warning signal is issued and the area is marked;

[0070] Summarize the analysis data and results of each land use area to generate a land use file.

[0071] (III) Beneficial effects

[0072] The present invention provides a natural resource information management system and method, which has the following beneficial effects:

[0073] 1. The present invention provides a natural resource information management system and method, which analyzes the historical geological data of various land use areas, understands the soil and water flow speed in each area and the recovery speed of soil and water under natural conditions, and studies the laws of its natural changes, so as to predict the soil and water loss in various areas in the future, and can quickly help relevant personnel understand the soil and water loss situation, so as to facilitate relevant technical personnel to formulate relevant strategies for soil and water stabilization. It has good use effect and good use prospects.

[0074] 2. The present invention provides a natural resource information management system and method, which analyzes the historical geological data and land use type change data of each land use area, analyzes the impact of the type change on the water and soil of the surrounding area, and then can predict the changes that will occur in the surrounding area when the land use type of a certain area changes, thereby helping relevant personnel to better and more scientifically and reasonably specify the area where the land use type changes, protect water and soil resources, and avoid the loss of water and soil resources. The use effect is good and has a good prospect for use. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Figure 1 A flowchart of a natural resource information management system of the present invention;

[0076] Figure 2 This is a display result diagram of geological transformation simulation of a natural resource information management system of the present invention. DETAILED DESCRIPTION

[0077] 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.

[0078] Since the central idea of ​​the existing water and soil resources supervision system is to combine agricultural needs, take maximizing benefits as the goal, and use the amount of irrigable land resources, water, electricity resources, crop water requirements, etc. as constraints, the agricultural resources in the basin are rationally allocated, the areas most vulnerable to uncertainty are identified and improved, and the utilization efficiency of limited resources is improved.

[0079] However, in actual use, there are many solutions for resource management related to actual application. They are mainly based on demand to achieve management. However, in actual use, the impact on renewable resources is mainly the change of land use type. The change of land use type will inevitably cause soil and water loss, and social development is inevitably inseparable from the adjustment of land use types and the supervision of water and soil resources in related areas. In this regard, there is currently no comprehensive detection system. Monitoring is carried out after the development is completed to determine whether manual intervention is needed to help resource recovery. As a result, water and soil resources need to be repeatedly maintained during the subsequent construction process, which is troublesome and requires a large manpower cost.

[0080] Therefore, the design system is aimed at the existing management systems, most of which are based on the needs of an industry. Through analysis of the industry's needs, it is judged whether the existing natural resources can meet the needs of the industry. From this aspect, rational planning and use of natural resources are carried out to ensure that natural resources are not wasted. However, the recovery of natural resources takes a certain amount of time, and the recovery speed continues to decline with use. When it reaches a certain level, it will no longer recover, but will be lost. Full utilization is not enough to protect natural resources.

[0081] Therefore, during the research and development process, the initial idea was to study the impact of different historical land use types on soil and water loss, conduct inductive analysis, understand the data on soil and water loss, and apply the data for further processing to predict the future cycle of soil and water resources.

[0082] However, in actual use, it was found that the data on soil erosion in different regions are not universal, and the data vary greatly due to different soil types. Therefore, using soil and water data from a single region is not suitable for the prediction of all resources and has relatively large limitations.

[0083] Therefore, in the middle stage of research and development, the soil is classified, divided according to the soil type, and re-predicted to make the prediction result more accurate and the use effect better.

[0084] However, in actual use, it was found that the above method can only achieve the supervision of water and soil resources, and when encountering unexpected situations (bad weather), it will have a greater impact on the relevant areas, making the results inaccurate, and its overall functionality is relatively low.

[0085] Therefore, in the later stage of research and development, we fully combined the previous plans and developed a natural resource information management system, which can help relevant personnel understand the impact of severe weather on water and soil resources, and at the same time predict the impact of land use type changes on the surrounding area environment, which can help relevant personnel better formulate land use type change strategies. Example

[0086] See also Figure 1 , this embodiment provides a natural resource information management system, including a data collection module, a data analysis module, a prediction analysis module, a monitoring management module and a comprehensive display module:

[0087] This system consists of two parts: hardware and software. The hardware information is mainly the server, and the relevant geological data and weather data are obtained through the existing corresponding resource management platform. There is no need to deploy corresponding sensors and detection instruments separately, so it is convenient to use.

[0088] The software part includes the following contents:

[0089] In order to accurately analyze the existing geological data, it is necessary to understand the changes in geological data and the corresponding standards. Therefore, before analysis, the corresponding historical geological data must be analyzed in detail and the changing laws of historical geological data must be understood before analyzing and predicting future geological data. The collection of historical geological data is based on the data collection module.

[0090] The data collection module collects historical geological data of each land use area, the most recently detected geological data and the impact data of the land use type change recorded in history;

[0091] The geological data include soil moisture content, soil loss, water quality indicators, vegetation coverage and soil particle size. The impact data of land use type conversion include the land type before and after the land use type conversion, the area data of the land use area and the geological data before and after the land use type conversion.

[0092] The geological data described above can be obtained from the corresponding regulatory platform, which is quite convenient.

[0093] After obtaining the corresponding data, it is necessary to analyze the historical geological data to understand the laws of historical geological data in each region. Only by combining the laws obtained by analysis can further prediction of geological data be achieved. This process is based on the data analysis module.

[0094] The data analysis module analyzes the historical geological data of each land use area, sets the geological data standard value and geological data risk value of each land use area, and respectively calculates the difference between the geological data standard value and the geological data risk value and the historical geological data, and obtains the risk geological difference value and the historical geological difference value, and further analyzes the historical geological difference value to predict the future geological difference value of the future detection cycle, and further calculates the difference between the future geological difference value and the historical geological difference value of the previous cycle, and obtains the difference value change difference data DIF1;

[0095] It is necessary to analyze each area separately because there are certain differences in the environment, especially the influence of underground rivers and external rivers. Therefore, there are certain differences in the loss rate. Therefore, it is necessary to analyze separately, which is a more accurate method.

[0096] The steps to set the standard values ​​of geological data for each land use area are as follows:

[0097] Obtain soil data of the land use area and determine the soil type. Soil can be divided into three types: sandy soil, clay soil, and loam. The standards for different types of soil are completely different.

[0098] Obtain the location data of unused areas with the same soil properties and calculate the distance between the unused areas and the land areas;

[0099] Screen and cluster the nearest N groups of unused areas, obtain the geological data collected in the latest period of the N groups of unused areas, calculate the average of the geological data, and summarize the average to form the standard value of the geological data;

[0100] The steps to set the geological data risk value for each land use area are as follows:

[0101] Obtain soil data of the land use area and determine the soil type;

[0102] Obtain the location data of soil erosion areas with the same soil properties and calculate the distance between the soil erosion area and the land use area;

[0103] Screen the N groups of soil erosion areas that are clustered closest to each other, obtain the geological data of the early stage of soil erosion in the N groups of soil erosion areas, calculate the average of the geological data, and summarize the average to form the geological data risk value.

[0104] The closer the soil to the area, the more similar the data of that area can be of certain reference value and can be used as a basic standard.

[0105] The geological data risk value is the corresponding data when soil erosion occurs. The geological data standard value and geological data risk value in different regions are different.

[0106] The formulas for calculating the difference between the standard value of geological data and the risk value of geological data and the historical geological data are as follows:

[0107]

[0108] In the formula, is the historical geological difference value, is the risk geological difference value, is the number of indicators contained in the geological data, is the data of the ith indicator recorded in the standard value of geological data, is the data of the ith indicator recorded in the historical geological data, is the weight coefficient corresponding to the i-th indicator, It is the data of the ith indicator recorded in the geological data risk value.

[0109] The weight coefficient is determined by the coefficient of variation method, which is a method of weighting each indicator according to the degree of variation between the current value of each evaluation indicator and the target value. If the numerical difference of an indicator is large, it can clearly distinguish the evaluated objects, indicating that the indicator has rich discrimination information, and thus the indicator should be given a larger weight. On the contrary, if the numerical difference of each evaluated object on a certain indicator is small, then the ability of this indicator to distinguish the evaluation objects is weak, and thus the indicator should be given a smaller weight. This method directly uses the information contained in each indicator and obtains the weight of the indicator through calculation, so it is objective.

[0110] The indicators are the types of geological data collected as described above.

[0111] Historical geological data refers to geological data collected in historical periods, and a historical geological difference value is calculated for each period.

[0112] For example: if there are 6 groups of historical geological data, then 6 groups of historical geological difference values ​​will be obtained in chronological order. At this time, they are arranged in the existing order to facilitate the observation of the changes in the historical geology of the area, so that the law of soil quality changes can be more easily summarized.

[0113] The steps to further analyze the historical geological difference values ​​and predict the future geological difference values ​​of the future detection period are as follows:

[0114] Arrange the calculated historical geological difference values ​​according to the order of acquisition periods;

[0115] Calculate the change data of the historical geological difference values ​​of adjacent periods. The specific formula is the historical geological difference value of this period minus the historical geological difference value of the previous period corresponding to this period. Determine the size of the change data of the historical geological difference values ​​of adjacent periods, and input the change data of the historical geological difference values ​​of adjacent periods into the coordinate system to draw the curve:

[0116] For example: if the adjacent period is the Lth period, then the calculation formula is the historical geological difference value of the Lth period minus the historical geological difference value of the L-1th period, thereby obtaining the amplitude of geological changes in each period, which is convenient for summarizing the laws of geological changes.

[0117] If the drawn curve has peaks or troughs, the area is marked as insufficient data, and the future geological difference values ​​of the area in future detection cycles are not predicted;

[0118] The presence of peaks or troughs in the curve indicates that the geology of the area has changed, which may change from soil erosion to soil and water recovery, or from soil and water recovery to soil erosion. This situation makes the previous data insufficient and the prediction accuracy is not high, so the prediction processing is not based on this data.

[0119] If the drawn curve does not have a peak or a trough, the positive or negative change data of the historical geological difference values ​​of the adjacent periods is determined. If it is positive, it is marked as abnormal, an abnormal warning is issued, and the future geological difference values ​​of the future detection periods of the area are not predicted;

[0120] If it is positive, it means that the change data of the difference value is gradually increasing, and the larger the difference value, the farther the geological data is from the standard data, which means that soil erosion is becoming more and more serious. At this time, artificial intervention is needed. When artificial intervention is adopted, the original method of geological prediction cannot be used. Therefore, there is no need to predict the future geological difference values ​​of the future detection cycle in this area.

[0121] If it is negative, the difference change law of historical geological difference values ​​is analyzed, and the future geological difference values ​​of the future detection period are predicted based on the difference change law. The specific calculation formula is as follows:

[0122]

[0123] In the formula, is the future geological difference value for the future detection cycle, is the historical geological difference value corresponding to the first recent detection cycle, is the historical geological difference value corresponding to the second most recent detection cycle, is constant data, , is the preset coefficient data, > , is constant data, , is a natural constant;

[0124] Difference value change difference data .

[0125] The above prediction is for one cycle in the future. As geological data is not collected often and is affected by external weather, it is usually collected once a year with a long interval. There is no need for long-term prediction and the effect is good.

[0126] In this case, the surface geology is gradually improving. No processing is required in this case. Only data needs to be collected and analyzed to understand the geological recovery.

[0127] When in use, the system can not only be used to predict future geological data, but also provide a certain basis for formulating land development. For example, in the early stages of development, land use type simulation can be carried out to help relevant personnel understand the impact of land use type changes in various regions on the geology of surrounding areas.

[0128] Prediction and analysis module: used to simulate the land use type change of each land use area one by one, analyze the impact data of land use type change recorded in history, calculate the difference value impact value of each land use type change area on the surrounding area, and compare the difference value impact value with the difference value change difference data DIF1;

[0129] At the same time, based on the future geological difference value and the difference value impact value, the future impact difference value is predicted, and the future impact difference value and the risk geological difference value of the surrounding area after the land use type is changed are compared, and the corresponding processing strategy is executed according to the comparison results;

[0130] The land use type conversion simulation for each land use area one by one is to select an area to change the land use type, analyze the impact on the surrounding areas, restore the area, and convert the land use type to the next area.

[0131] Figure 2 In the simulation, the abnormal levels of land use type change are red, orange, yellow, green, cyan, blue and purple, with purple being the highest level. The colors of soil erosion or serious abnormal level standards start from cyan, and none represents no abnormality.

[0132] Because development is gradual and there will not be development in multiple places at one time, this method of prediction can fully meet the needs. Moreover, when there are multiple simultaneous developments, there will be a certain impact on each other, and the accuracy of the prediction will be greatly reduced.

[0133] The difference impact values ​​of the land use areas of each land use type conversion on the surrounding areas are calculated, including the construction impact value and the sustainable impact value. The specific calculation formulas of the construction impact value and the sustainable impact value are as follows:

[0134]

[0135] In the formula, is the construction impact value of the ith surrounding area, is the continuous influence value of the ith surrounding area, is the impact coefficient corresponding to the land use type change, , and are all constants and are greater than 1. is the area of ​​land use type conversion, is the distance between the calculated i-th surrounding area and the land use area where the land use type is changed, > , is the difference between the future cycle and the current cycle;

[0136] Land use types are mainly divided into three categories: agricultural land, construction land and unused land. Each category has multiple items, and each gap item has a corresponding coefficient, that is, There are many types, corresponding to the transformation of various land use types;

[0137] For example, if there are five gaps, the impact coefficient corresponding to the land use type change is the sum of the five coefficients.

[0138] The construction impact value refers to the impact of water and soil use during the construction process, while the sustained impact value is mainly the long-term impact on people after the land use type is changed.

[0139] When in use, the closer to the land use type adjustment area, the greater the impact, and the farther the distance, the smaller the impact.

[0140] The above analysis can help relevant personnel understand the impact of land use type adjustments. The following will further analyze the geological data of the next cycle based on this.

[0141] The formula for predicting the future impact difference value based on the future geological difference value and the difference value impact value is as follows:

[0142]

[0143] In the formula, is the calculated future impact difference value, is the construction impact value of the land area where the land use type is changed on the area, It is the regional boundary distance between the surrounding area and the land use area where the land use type is converted.

[0144] This step can provide feedback on the surrounding impact. In order to understand the specific changes more clearly, it is necessary to further predict the difference value impact value of the first cycle in the future. ;

[0145] The difference value impact value of the first cycle in the future The calculation formula is:

[0146]

[0147] The corresponding processing strategies are implemented according to the comparison results as follows:

[0148] Compare when comparing With the size of DIF1 and and Size:

[0149] like ≤DIF1, and ≤ When Mark the corresponding surrounding areas and generate a land use type change report after summarizing;

[0150] Under normal circumstances: the predicted DIF1 is the geological recovery, and the difference value of the first cycle in the future affects the value It causes soil erosion. The size of DIF1 can be used to determine whether geological restoration can exceed the soil erosion caused by land use type.

[0151] ≤DIF1 means that the change in land use type has little impact on it and no manual adjustment is required.

[0152] ≤ This indicates that there is no soil erosion and no auxiliary geological restoration is required.

[0153] If exists >DIF1 or > When the abnormality is marked, the difference ratio of the abnormal data is calculated, and the surrounding area of ​​the abnormality is marked according to the color corresponding to the difference ratio. Mark them on the corresponding surrounding areas and generate a land use type change report after summarizing.

[0154] exist >DIF1 indicates that the impact is large and geological restoration is not enough to meet the loss of soil and water. > This indicates that soil erosion has already occurred in the geology, and human assistance is needed for maintenance. Therefore, it needs to be marked separately.

[0155] At this time, when The difference with DIF1 or and The larger the difference, the more serious the geological changes at this time, and the more maintenance is needed. Using different colors to reflect the degree of maintenance required makes it easier for relevant technical personnel to find it, so that they can formulate corresponding plans more clearly and reasonably.

[0156] The above functions reflect the prediction of the future and provide the basis for the transformation of land use types. The main function of this system is to analyze and judge the geological data of different regions and determine whether there are any anomalies.

[0157] The main reason is that different regions adopt different standards. Therefore, in the process of geological data judgment, the amount of data required for manual analysis is very large and takes a long time. Therefore, computers are needed to assist in the analysis, and this process is based on the monitoring and management module.

[0158] The present invention provides a natural resource information management system and method, which analyzes the historical geological data and land use type change data of each land use area, analyzes the impact of the type change on the water and soil of the surrounding area, and then can predict the changes that will occur in the surrounding area when the land use type of a certain area changes, thereby helping relevant personnel to better and more scientifically and reasonably formulate the area of ​​land use type change, protect water and soil resources, and avoid the loss of water and soil resources. The use effect is good and has a good prospect of use.

[0159] The monitoring management module obtains the most recently detected geological data of each land use area, and calculates the real-time geological difference value based on the most recently detected geological data of each land use area and the geological data standard value, calculates the floating interval based on the difference value data of the future detection cycle, and compares the real-time geological difference value with the floating interval and the risk geological difference value respectively to determine whether the real-time geological difference value is within the floating interval;

[0160] If the real-time geological difference value is within the floating range, no processing will be performed;

[0161] If the real-time geological difference value is outside the floating range, an early warning signal is issued and the area is marked;

[0162] Comprehensive display module: used to obtain the analysis results of the key analysis module and the predictive analysis module, summarize the analysis data and analysis results of each land use area, and generate a land use file.

[0163] The calculation formula of real-time geological difference value is as follows:

[0164] In the formula, is the real-time geological difference value, For real-time detection of geological data;

[0165] The calculation formula of the real-time geological difference value is the same as the calculation formula of the historical geological difference value, except that the data collected are different.

[0166] In normal analysis, there will be situations where weather has an impact. Under normal circumstances, the impact of weather on geology is very small, so there is no need to consider it. However, there may be continuous heavy rainfall or strong winds or even typhoons for a long time, which will cause serious loss of water and soil resources. In this case, if the original floating range is used, there will be abnormal conditions in large areas. Therefore, a separate analysis is required to remove the impact of the external environment. Therefore, a separate floating range calculation formula is required to calculate the floating range after deducting the impact of the external environment.

[0167] The formula for calculating the floating range (FDmin, FDmax) is as follows:

[0168]

[0169] In the formula, is the number of rainfalls in this cycle, and are constants, , is the rainfall of the ith rainfall, is the rainfall that causes soil erosion. When , is a constant, is the wind force level of the i-th wind, is the wind strength duration of the i-th wind, The wind force impact value when the set wind force causes soil erosion , When .

[0170] The above can calculate the normal fluctuation range of the geological difference value after deducting the influence of the external environment. By judging whether the real-time geological difference value is within this range, it can be clearly judged whether there is an abnormal situation.

[0171] If the real-time geological difference value is outside the floating range, Compare with FDmin and FDmax. If ≤FDmin, then calculate the excellent difference , and mark the area according to the color corresponding to the difference result;

[0172] This situation indicates that the geological recovery is beyond expectations. Marking it at this time is mainly to remind relevant technical personnel to understand and analyze the reasons for the recovery and determine whether it can be promoted and applied.

[0173] like ≥FDmax, then further compare and The size of ≥ , then the mark has a serious abnormality and a serious abnormality warning is issued;

[0174] This situation indicates that the geological deterioration is very serious and requires strict attention, long-term monitoring, and human intervention to ensure the maintenance of water and soil resources so that the water and soil resources in the area can be restored quickly.

[0175] like , calculate the anomaly difference , and mark the area according to the color corresponding to the difference result.

[0176] This situation indicates that the geology has deteriorated, but it has not yet reached a very serious level. At this time, further analysis can be carried out to determine whether the water and soil resources have recovered or been lost compared to the previous cycle, and the extent of the loss. By further formulating scientific plans in this way, the problem of soil and water loss can be better controlled.

[0177] The present invention provides a natural resource information management system and method, which analyzes the historical geological data of various land use areas, understands the soil and water flow speed in each area and the recovery speed of soil and water under natural conditions, and studies the laws of its natural changes, so as to predict the soil and water loss conditions in various areas in the future, and can quickly help relevant personnel understand the soil and water loss conditions, thereby facilitating relevant technical personnel to formulate relevant strategies for soil and water stabilization. The use effect is good and has a good prospect for use. Example

[0178] Based on Example 1, this embodiment also provides a natural resource information management method, including the following specific steps:

[0179] Collect historical geological data, recently detected geological data and historically recorded data on the impact of land use type changes in each land use area;

[0180] Analyze the historical geological data of each land use area, set the geological data standard value and geological data risk value of each land use area, and calculate the difference between the geological data standard value and the geological data risk value and the historical geological data, and obtain the risk geological difference value and the historical geological difference value, and further analyze the historical geological difference value to predict the future geological difference value of the future detection cycle, and further calculate the difference between the future geological difference value and the historical geological difference value of the previous cycle to obtain the difference value change difference data DIF1;

[0181] Simulate the land use type change of each land use area one by one, analyze the impact data of land use type change recorded in history, calculate the difference value impact value of each land use area with land use type change on the surrounding area, and compare the difference value impact value with the difference value change difference data DIF1;

[0182] At the same time, based on the future geological difference value and the difference value impact value, the future impact difference value is predicted, and the future impact difference value and the risk geological difference value of the surrounding area after the land use type is changed are compared, and the corresponding processing strategy is executed according to the comparison results;

[0183] The most recent geological data detected in each land use area is obtained, and the real-time geological difference value is calculated based on the most recent geological data detected in each land use area and the standard value of the geological data, and the floating interval is calculated based on the difference value data of the future detection period, and the real-time geological difference value is compared with the floating interval and the risk geological difference value respectively to determine whether the real-time geological difference value is within the floating interval;

[0184] If the real-time geological difference value is within the floating range, no processing will be performed;

[0185] If the real-time geological difference value is outside the floating range, an early warning signal is issued and the area is marked;

[0186] Summarize the analysis data and results of each land use area to generate a land use file.

[0187] In the application, the several formulas involved are all calculated by taking their numerical values ​​after removing the dimensions, and the formulas are established by collecting a large amount of data and performing software simulation to obtain a formula for the most recent actual situation. Some coefficients or weights in the formulas are set by technical personnel in this field according to actual conditions, so they will not be elaborated here.

[0188] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0189] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0190] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A natural resource information management system, characterized in that: include: Data collection module: used to collect historical geological data of each land use area, recently detected geological data and the impact data of land use type changes recorded in history; Data analysis module: used to analyze the historical geological data of each land use area, set the geological data standard value and geological data risk value of each land use area, and calculate the difference between the geological data standard value and the geological data risk value and the historical geological data, and obtain the risk geological difference value and the historical geological difference value, and further analyze the historical geological difference value to predict the future geological difference value of the future detection cycle, and further calculate the difference between the future geological difference value and the historical geological difference value of the previous cycle to obtain the difference value change difference data DIF1; The formulas for calculating the difference between the standard value of geological data and the risk value of geological data and the historical geological data are as follows: In the formula, is the historical geological difference value, is the risk geological difference value, is the number of indicators contained in the geological data, is the data of the ith indicator recorded in the standard value of geological data, is the data of the ith indicator recorded in the historical geological data, is the weight coefficient corresponding to the i-th indicator, is the data of the ith indicator recorded in the geological data risk value; Prediction and analysis module: used to simulate the land use type change of each land use area one by one, analyze the impact data of land use type change recorded in history, calculate the difference value impact value of each land use type change area on the surrounding area, and compare the difference value impact value with the difference value change difference data DIF1; The difference impact values ​​of the land use areas of each land use type conversion on the surrounding areas are calculated, including the construction impact value and the sustainable impact value. The specific calculation formulas of the construction impact value and the sustainable impact value are as follows: In the formula, is the construction impact value of the ith surrounding area, is the continuous influence value of the ith surrounding area, is the impact coefficient corresponding to the land use type change, , and are all constants and are greater than 1. is the area of ​​land use type conversion, is the distance between the calculated i-th surrounding area and the land use area where the land use type is changed, > , is the difference between the future cycle and the current cycle; The formula for predicting the future impact difference value based on the future geological difference value and the difference value impact value is as follows: In the formula, is the calculated future impact difference value, is the future geological difference value for the future detection cycle, is the construction impact value of the land area where the land use type is changed on the area, It is the distance between the boundary of the surrounding area and the land use area where the land use type is changed; At the same time, based on the future geological difference value and the difference value impact value, the future impact difference value is predicted, and the future impact difference value and the risk geological difference value of the surrounding area after the land use type is changed are compared, and the corresponding processing strategy is executed according to the comparison results; Monitoring and management module: used to obtain the most recently detected geological data of each land use area, and calculate the real-time geological difference value based on the most recently detected geological data of each land use area and the standard value of geological data, calculate the floating interval based on the difference value data of the future detection cycle, and compare the real-time geological difference value with the floating interval and the risk geological difference value respectively to determine whether the real-time geological difference value is within the floating interval; If the real-time geological difference value is within the floating range, no processing will be performed; If the real-time geological difference value is outside the floating range, an early warning signal is issued and the area is marked; Comprehensive display module: used to obtain the analysis results of the key analysis module and the predictive analysis module, summarize the analysis data and analysis results of each land use area, and generate a land use file.

2. A natural resource information management system according to claim 1, characterized in that: The geological data include soil moisture content, soil loss, water quality indicators, vegetation coverage and soil particle size. The impact data of land use type conversion include the land type before and after the land use type conversion, the area data of the land use area and the geological data before and after the land use type conversion.

3. A natural resource information management system according to claim 2, characterized in that: The steps to set the standard values ​​of geological data for each land use area are as follows: Obtain soil data of the land use area and determine the soil type; Obtain the location data of unused areas with the same soil properties and calculate the distance between the unused areas and the land areas; Screen and cluster the nearest N groups of unused areas, obtain the geological data collected in the latest period of the N groups of unused areas, calculate the average of the geological data, and summarize the average to form the standard value of the geological data; The steps to set the geological data risk value for each land use area are as follows: Obtain soil data of the land use area and determine the soil type; Obtain the location data of soil erosion areas with the same soil properties and calculate the distance between the soil erosion area and the land use area; Screen the N groups of soil erosion areas that are clustered closest to each other, obtain the geological data of the early stage of soil erosion in the N groups of soil erosion areas, calculate the average of the geological data, and summarize the average to form the geological data risk value.

4. A natural resource information management system according to claim 3, characterized in that: The steps to further analyze the historical geological difference values ​​and predict the future geological difference values ​​of the future detection period are as follows: Arrange the calculated historical geological difference values ​​according to the order of acquisition periods; Calculate the change data of the historical geological difference values ​​of adjacent periods. The specific formula is the historical geological difference value of this period minus the historical geological difference value of the previous period corresponding to this period. Determine the size of the change data of the historical geological difference values ​​of adjacent periods, and input the change data of the historical geological difference values ​​of adjacent periods into the coordinate system to draw the curve: If the drawn curve has peaks or troughs, the area is marked as insufficient data, and the future geological difference values ​​of the area in future detection cycles are not predicted; If the drawn curve does not have a peak or a trough, the positive or negative change data of the historical geological difference values ​​of the adjacent periods is determined. If it is positive, it is marked as abnormal, an abnormal warning is issued, and the future geological difference values ​​of the future detection periods of the area are not predicted; If it is negative, the difference change law of historical geological difference values ​​is analyzed, and the future geological difference values ​​of the future detection period are predicted based on the difference change law. The specific calculation formula is as follows: In the formula, is the future geological difference value for the future detection cycle, is the historical geological difference value corresponding to the first recent detection cycle, is the historical geological difference value corresponding to the second most recent detection cycle, is constant data, , is the preset coefficient data, > , is constant data, , is a natural constant; Difference value change difference data .

5. A natural resource information management system according to claim 4, characterized in that: The difference value impact value of the first cycle in the future The calculation formula is: The corresponding processing strategies are implemented according to the comparison results as follows: Compare when comparing With the size of DIF1 and and Size: like ≤DIF1, and ≤ When Mark the corresponding surrounding areas and generate a land use type change report after summarizing; If exists >DIF1 or > When the abnormality is marked, the difference ratio of the abnormal data is calculated, and the surrounding area of ​​the abnormality is marked according to the color corresponding to the difference ratio. Mark them on the corresponding surrounding areas and generate a land use type change report after summarizing.

6. A natural resource information management system according to claim 5, characterized in that: The calculation formula of real-time geological difference value is as follows: In the formula, is the real-time geological difference value, For real-time detection of geological data; The formula for calculating the floating range (FDmin, FDmax) is as follows: In the formula, is the number of rainfalls in this cycle, and are constants, , is the rainfall of the ith rainfall, is the rainfall that causes soil erosion. When , is a constant, is the wind force level of the i-th wind, is the wind strength duration of the i-th wind, The wind force impact value when the set wind force causes soil erosion , When .

7. A natural resource information management system according to claim 6, characterized in that: If the real-time geological difference value is outside the floating range, Compare with FDmin and FDmax. If ≤FDmin, then calculate the excellent difference , and mark the area according to the color corresponding to the difference result; like ≥FDmax, then further comparison and The size of ≥ , then the mark has a serious abnormality and a serious abnormality warning is issued; like , calculate the anomaly difference , and mark the area according to the color corresponding to the difference result.

8. A natural resource information management method, using the system described in any one of claims 1 to 7, characterized in that: The steps include: Collect historical geological data, recently detected geological data and historically recorded data on the impact of land use type changes in each land use area; Analyze the historical geological data of each land use area, set the geological data standard value and geological data risk value of each land use area, and calculate the difference between the geological data standard value and the geological data risk value and the historical geological data, and obtain the risk geological difference value and the historical geological difference value, and further analyze the historical geological difference value to predict the future geological difference value of the future detection cycle, and further calculate the difference between the future geological difference value and the historical geological difference value of the previous cycle to obtain the difference value change difference data DIF1; Simulate the land use type change of each land use area one by one, analyze the impact data of land use type change recorded in history, calculate the difference value impact value of each land use area with land use type change on the surrounding area, and compare the difference value impact value with the difference value change difference data DIF1; At the same time, based on the future geological difference value and the difference value impact value, the future impact difference value is predicted, and the future impact difference value and the risk geological difference value of the surrounding area after the land use type is changed are compared, and the corresponding processing strategy is executed according to the comparison results; The most recent geological data detected in each land use area is obtained, and the real-time geological difference value is calculated based on the most recent geological data detected in each land use area and the standard value of the geological data, and the floating interval is calculated based on the difference value data of the future detection period, and the real-time geological difference value is compared with the floating interval and the risk geological difference value respectively to determine whether the real-time geological difference value is within the floating interval; If the real-time geological difference value is within the floating range, no processing will be performed; If the real-time geological difference value is outside the floating range, an early warning signal is issued and the area is marked; Summarize the analysis data and results of each land use area to generate a land use file.

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