Method for evaluating ecological restoration effect of open-pit mine based on wireless sensor

Abstract

The present application relates to a wireless sensor-based open-pit mine ecological restoration effectiveness evaluation method, belonging to the technical field of mine ecological restoration, which collects ecological restoration data information of each open-pit mine ecological restoration area in real time through wireless sensors, evaluates the ecological restoration data information of each open-pit mine ecological restoration area, obtains the restoration membership degree of each open-pit mine ecological restoration area, sets the restoration membership degree evaluation index, and finally generates relevant warning information according to the restoration membership degree evaluation index and the restoration membership degree of each open-pit mine ecological restoration area, and displays it in a preset manner. The present application dynamically analyzes the working environment of the target area, fully understands the data collection coverage of the wireless sensor in the target area, further improves the rationality of the wireless sensor arrangement, and is conducive to remotely monitoring the restoration state of the mine ecological restoration area.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of mine ecological restoration, and in particular to a method for evaluating the effectiveness of open-pit mine ecological restoration based on wireless sensors. BACKGROUND

[0002] Mining refers to the development and utilization of mineral resources, and mining activities involve residents around the mining area, natural ecological environment and other aspects. The development of mineral resources is closely related to the ecological environment, and a large amount of toxic substances will be released during the mining process, causing serious harm to the environment. For example, mining can cause the destruction of vegetation, soil erosion, and impact on the living environment of animals and plants; cause environmental damage in mines. Compared with underground mining, open-pit mining causes more serious damage to the surface ecological environment. Open-pit mining often causes huge and even devastating damage to the landscape system and ecological system of the mountain body as the mining object, from topography, landform to soil, rock, and from landscape system to ecological system. After mining, physical and chemical means are often used to restore the ecology, and wireless sensors are often used to remotely monitor the restoration of the ecology during the ecological restoration. However, the current arrangement of wireless sensors does not take into account the actual working environment, thereby affecting the monitoring coverage area of the wireless sensors, and thus causing some areas to be unmonitored, which is not conducive to real-time understanding of the restoration of the ecology. SUMMARY

[0003] The present application overcomes the shortcomings of the prior art and provides a method for evaluating the effectiveness of open-pit mine ecological restoration based on wireless sensors.

[0004] To achieve the above purpose, the technical solution adopted by the present application is as follows:

[0005] The present application provides a method for evaluating the effectiveness of open-pit mine ecological restoration based on wireless sensors, which specifically includes:

[0006] Collecting the data collection coverage of wireless sensors in each working environment, and constructing a wireless sensor arrangement diagram of the open-pit mine ecological restoration area according to the data collection coverage of the wireless sensors in each working environment;

[0007] Arranging the wireless sensors according to the wireless sensor arrangement diagram of the open-pit mine ecological restoration area, and collecting ecological restoration data information of each open-pit mine ecological restoration area in real time through the wireless sensors;

[0008] Evaluating the ecological restoration data information of each open-pit mine ecological restoration area, obtaining the restoration membership degree of each open-pit mine ecological restoration area, and setting a restoration membership degree evaluation index;

[0009] According to the repair membership evaluation index and the repair membership of each open-pit mine ecological repair area, relevant early warning information is generated and displayed in a preset manner.

[0010] Further, in the open-pit mine ecological repair effectiveness evaluation method based on wireless sensors, the data collection coverage range of the wireless sensors in each working environment is collected, specifically including:

[0011] A plurality of working environments are configured, and the wireless sensors are tested in the working environments to obtain a plurality of sets of test data, and an outlier detection algorithm is introduced to calculate the local outlier factor of each test data in each set of data;

[0012] A local outlier factor threshold is set, and it is judged whether the local outlier factor is greater than the local outlier factor threshold;

[0013] When the local outlier factor is greater than the local outlier factor threshold, the test data corresponding to the local outlier factor greater than the local outlier factor threshold is deleted, and each set of test data is updated;

[0014] When the local outlier factor is not greater than the local outlier factor threshold, the test data corresponding to the local outlier factor not greater than the local outlier factor threshold is taken as the final test data, the average value of the final test data is calculated, the final test data is obtained, and is taken as the data collection coverage range of the wireless sensors in each working environment.

[0015] Further, in the open-pit mine ecological repair effectiveness evaluation method based on wireless sensors, a wireless sensor arrangement diagram of the open-pit mine ecological repair area is constructed according to the data collection coverage range of the wireless sensors in each working environment, specifically including:

[0016] Obtain the survey data of the open-pit mine ecological repair area, and obtain the working environment data of the wireless sensors in the open-pit mine ecological repair area according to the survey data of the open-pit mine ecological repair area;

[0017] According to the working environment data of the wireless sensors in the open-pit mine ecological repair area and the data collection coverage range of the wireless sensors in each working environment, the data collection coverage range of the wireless sensors under the working environment data of the wireless sensors in the open-pit mine ecological repair area is obtained;

[0018] Obtain the to-be-repaired range data of the open-pit mine ecological repair area, and initialize the number and installation position nodes of the wireless sensors, calculate the total coverage range according to the data collection coverage range of the wireless sensors under the working environment data of the wireless sensors in the open-pit mine ecological repair area, the number of wireless sensors and the installation position nodes;

[0019] when the total coverage range is greater than the to-be-repaired range data of the strip mine ecological restoration area, output the number and installation position nodes of the wireless sensor, and construct a wireless sensor layout of the strip mine ecological restoration area based on the number and installation position nodes of the wireless sensor;

[0020] when the total coverage range is not greater than the to-be-repaired range data of the strip mine ecological restoration area, re-plan the number and installation position nodes of the wireless sensor until the total coverage range is greater than the to-be-repaired range data of the strip mine ecological restoration area.

[0021] Further, in the wireless sensor-based strip mine ecological restoration effectiveness evaluation method, the wireless sensor is arranged according to the wireless sensor layout of the strip mine ecological restoration area, specifically:

[0022] initialize the number and installation position of the communication nodes, and test the communication condition of the wireless sensor according to the number and installation position of the communication nodes to obtain the network coverage rate of the wireless sensor in the strip mine ecological restoration area;

[0023] set a network coverage rate threshold, and determine whether the network coverage rate of the wireless sensor in the strip mine ecological restoration area is greater than the network coverage rate threshold;

[0024] when the network coverage rate of the wireless sensor in the strip mine ecological restoration area is greater than the network coverage rate threshold, update the communication node introduction of the wireless sensor layout of the strip mine ecological restoration area according to the number and installation position of the communication nodes;

[0025] when the network coverage rate of the wireless sensor in the strip mine ecological restoration area is not greater than the network coverage rate threshold, re-plan the number and installation position of the communication nodes until the network coverage rate of the wireless sensor in the strip mine ecological restoration area is greater than the network coverage rate threshold.

[0026] Further, in the wireless sensor-based strip mine ecological restoration effectiveness evaluation method, the repair membership degree of each strip mine ecological restoration area is obtained by evaluating the ecological restoration data information of each strip mine ecological restoration area, specifically:

[0027] introduce a decision tree algorithm, set an ecological restoration evaluation index range, construct a data set according to the ecological restoration data information of each strip mine ecological restoration area, take the data set as a root node, and split the root node based on the ecological restoration evaluation index range;

[0028] By splitting, a plurality of leaf nodes are obtained, and a Euclidean distance value between each data in the leaf nodes is calculated to determine whether there is still a case where the Euclidean distance value is greater than a preset Euclidean distance threshold in the leaf nodes;

[0029] When there is still a case where the Euclidean distance value is greater than the preset Euclidean distance threshold in the leaf nodes, the splitting of the leaf nodes is continued until there is no case where the Euclidean distance value is greater than the preset Euclidean distance threshold, and each leaf node is output.

[0030] When there is no case where the Euclidean distance value is greater than the preset Euclidean distance threshold in the leaf nodes, each leaf node is output, and a membership degree corresponding to each data in each leaf node is obtained, and the membership degree corresponding to each data in each leaf node is taken as a repair membership degree of each open-pit mine ecological repair region and is output.

[0031] Further, in the open-pit mine ecological repair effectiveness evaluation method based on a wireless sensor, relevant early warning information is generated according to the repair membership degree evaluation index and the repair membership degree of each open-pit mine ecological repair region, and specifically includes:

[0032] The repair membership degree evaluation index is set, and it is determined whether the repair membership degree of each open-pit mine ecological repair region is greater than the repair membership degree evaluation index;

[0033] When the repair membership degree of the open-pit mine ecological repair region is greater than the repair membership degree evaluation index, the corresponding ecological repair region is taken as an abnormal region, and the abnormal region is early warned;

[0034] When the repair membership degree of the open-pit mine ecological repair region is not greater than the repair membership degree evaluation index, the corresponding ecological repair region is taken as a normal region, and the normal region is displayed in a preset manner.

[0035] The second aspect of the present application provides an open-pit mine ecological repair effectiveness evaluation system based on a wireless sensor, which comprises a memory and a processor, the memory comprises an open-pit mine ecological repair effectiveness evaluation method program based on a wireless sensor, and when the open-pit mine ecological repair effectiveness evaluation based on a wireless sensor is executed by the processor, the steps of any one of the open-pit mine ecological repair effectiveness evaluation methods based on a wireless sensor are realized.

[0036] The third aspect of the present application provides a computer readable storage medium comprising an open-pit mine ecological repair effectiveness evaluation method program based on a wireless sensor, and when the open-pit mine ecological repair effectiveness evaluation based on a wireless sensor is executed by the processor, the steps of any one of the open-pit mine ecological repair effectiveness evaluation methods based on a wireless sensor are realized.

[0037] The present application solves the defects in the background art and has the following beneficial effects:

[0038] The present application collects the data collection coverage of the wireless sensor in each working environment, constructs a wireless sensor layout of the open-pit mine ecological restoration area according to the data collection coverage of the wireless sensor in each working environment, further arranges the wireless sensor according to the wireless sensor layout of the open-pit mine ecological restoration area, collects ecological restoration data information of each open-pit mine ecological restoration area in real time through the wireless sensor, evaluates the ecological restoration data information of each open-pit mine ecological restoration area, obtains the restoration membership degree of each open-pit mine ecological restoration area, sets a restoration membership degree evaluation index, finally generates relevant early warning information according to the restoration membership degree evaluation index and the restoration membership degree of each open-pit mine ecological restoration area, and displays in a preset manner. The present application dynamically analyzes the working environment of the target area, fully understands the data collection coverage of the wireless sensor in the target area, can further improve the rationality of the arrangement of the wireless sensor, and is conducive to remotely monitoring the restoration state of the mine ecological restoration area. BRIEF DESCRIPTION OF DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description only some embodiments of the present application, and for those skilled in the art, other drawings of other embodiments can be obtained without creative labor on the basis of these drawings.

[0040] Figure 1 The overall flowchart of the open-pit mine ecological restoration effectiveness evaluation method based on the wireless sensor is shown;

[0041] Figure 2 The partial flowchart of the open-pit mine ecological restoration effectiveness evaluation method based on the wireless sensor is shown;

[0042] Figure 3 The system block diagram of the open-pit mine ecological restoration effectiveness evaluation system based on the wireless sensor is shown. DETAILED DESCRIPTION

[0043] In order to more clearly illustrate the above-mentioned purposes, features and advantages of the present application, the following will further describe the present application in combination with the drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0044] In the following description, a lot of specific details are set forth in order to provide a thorough understanding of the present application, however, the present application can be practiced in other manners different from those described herein, therefore, the scope of protection of the present application is not limited by the specific embodiments disclosed below.

[0045] As shown in Figure 1 The first aspect of the present application provides a wireless sensor-based open-pit mine ecological restoration effectiveness evaluation method, specifically comprising:

[0046] S102: Collect the data collection coverage of the wireless sensor in each working environment, and construct a wireless sensor layout diagram of the open-pit mine ecological restoration area according to the data collection coverage of the wireless sensor in each working environment;

[0047] S104: Arrange the wireless sensor according to the wireless sensor layout diagram of the open-pit mine ecological restoration area, and collect ecological restoration data information of each open-pit mine ecological restoration area in real time through the wireless sensor;

[0048] S106: Through the evaluation of the ecological restoration data information of each open-pit mine ecological restoration area, the restoration membership degree of each open-pit mine ecological restoration area is obtained, and a restoration membership degree evaluation index is set;

[0049] S108: According to the restoration membership degree evaluation index and the restoration membership degree of each open-pit mine ecological restoration area, relevant early warning information is generated and displayed in a preset manner.

[0050] It should be noted that the present application can fully understand the data collection coverage of the wireless sensor in the target area by dynamically analyzing the working environment of the target area, which can further improve the rationality of the arrangement of the wireless sensor, thereby facilitating the remote monitoring of the restoration state of the mine ecological restoration area.

[0051] Further, in the wireless sensor-based open-pit mine ecological restoration effectiveness evaluation method, the data collection coverage of the wireless sensor in each working environment is collected, specifically comprising:

[0052] A plurality of working environments are configured, and the wireless sensor is tested in the working environment, a plurality of sets of test data are obtained, and an outlier detection algorithm is introduced, and the local outlier factor of each test data in each set of data is calculated by the outlier detection algorithm;

[0053] A local outlier factor threshold is set, and it is judged whether the local outlier factor is greater than the local outlier factor threshold;

[0054] When the local outlier factor is greater than the local outlier factor threshold, the test data corresponding to the local outlier factor greater than the local outlier factor threshold is deleted, and each set of test data is updated.

[0055] When the local outlier factor is not greater than the local outlier factor threshold value, the test data corresponding to the local outlier factor not greater than the local outlier factor threshold value is taken as the final test data, the average value of the final test data is calculated, the final test data is obtained, and the data acquisition coverage range of the wireless sensor in each working environment is obtained.

[0056] It should be noted that different working environments (such as temperature, humidity, salinity, pH, etc.) will affect the data acquisition coverage range (a cylindrical or quadrangular or other shaped data acquisition coverage range centered on the wireless sensor and spreading to the surrounding) of the wireless sensor, so that the data acquisition coverage range of the wireless sensor changes to a certain extent, and the abnormal outlier data can be proposed by the outlier detection algorithm.

[0057] Further, in the wireless sensor-based open-pit mine ecological restoration effectiveness evaluation method, a wireless sensor layout diagram of the open-pit mine ecological restoration area is constructed according to the data acquisition coverage range of the wireless sensor in each working environment, specifically including:

[0058] Obtaining survey data of the open-pit mine ecological restoration area, and obtaining working environment data of the wireless sensor in the open-pit mine ecological restoration area according to the survey data of the open-pit mine ecological restoration area;

[0059] According to the working environment data of the wireless sensor in the open-pit mine ecological restoration area and the data acquisition coverage range of the wireless sensor in each working environment, the data acquisition coverage range under the working environment data of the wireless sensor in the open-pit mine ecological restoration area is obtained;

[0060] Obtaining the to-be-restored range data of the open-pit mine ecological restoration area, and initializing the number and installation position node of the wireless sensor, calculating the total coverage range according to the data acquisition coverage range under the working environment data of the wireless sensor in the open-pit mine ecological restoration area, the number and installation position node of the wireless sensor;

[0061] When the total coverage range is greater than the to-be-restored range data of the open-pit mine ecological restoration area, the number and installation position node of the wireless sensor are output, and a wireless sensor layout diagram of the open-pit mine ecological restoration area is constructed based on the number and installation position node of the wireless sensor;

[0062] When the total coverage range is not greater than the to-be-restored range data of the open-pit mine ecological restoration area, the number and installation position node of the wireless sensor are re-planned until the total coverage range is greater than the to-be-restored range data of the open-pit mine ecological restoration area.

[0063] It should be noted that the investigation data of the ecological restoration area of the strip mine includes working environment data, to-be-restored type data, to-be-restored area data and the like, the rationality of the arrangement of the wireless sensor is improved through the method, so that the target area can be monitored, and then the remote dynamic monitoring of the ecological restoration effect of the strip mine is facilitated.

[0064] As shown in Figure 2 Further, in the ecological restoration effect evaluation method of the strip mine based on the wireless sensor, the wireless sensor is arranged according to the wireless sensor arrangement diagram of the ecological restoration area of the strip mine, specifically:

[0065] S202: The number and installation position of the communication node are initialized, and the communication condition of the wireless sensor is tested according to the number and installation position of the communication node, and the network coverage rate of the wireless sensor in the ecological restoration area of the strip mine is acquired;

[0066] S204: The network coverage rate threshold is set, and whether the network coverage rate of the wireless sensor in the ecological restoration area of the strip mine is greater than the network coverage rate threshold is judged;

[0067] S206: When the network coverage rate of the wireless sensor in the ecological restoration area of the strip mine is greater than the network coverage rate threshold, the communication node introduction update of the wireless sensor arrangement diagram of the ecological restoration area of the strip mine is performed according to the number and installation position of the communication node;

[0068] S208: When the network coverage rate of the wireless sensor in the ecological restoration area of the strip mine is not greater than the network coverage rate threshold, the number and installation position of the communication node are re-planned until the network coverage rate of the wireless sensor in the ecological restoration area of the strip mine is greater than the network coverage rate threshold.

[0069] It should be noted that when the network coverage rate of the wireless sensor in the ecological restoration area of the strip mine is not greater than the network coverage rate threshold, it indicates that there are packet loss, data transmission anomaly, data transmission interruption and the like in the transmission of the data of the wireless sensor, and the rationality of the remote monitoring can be further improved through the method.

[0070] Further, in the ecological restoration effect evaluation method of the strip mine based on the wireless sensor, the restoration membership degree of each ecological restoration area of the strip mine is acquired by evaluating the ecological restoration data information of each ecological restoration area of the strip mine, specifically:

[0071] The decision tree algorithm is introduced, the ecological restoration evaluation index range is set, the data set is constructed according to the ecological restoration data information of each ecological restoration area of the strip mine, the data set is taken as a root node, and the root node is split based on the ecological restoration evaluation index range;

[0072] By splitting, a plurality of leaf nodes are obtained, and the Euclidean distance values between each data in the leaf nodes are calculated to determine whether there is still a case where the Euclidean distance value is greater than the preset Euclidean distance threshold in the leaf nodes;

[0073] When there is still a case where the Euclidean distance value is greater than the preset Euclidean distance threshold in the leaf nodes, the splitting of the leaf nodes is continued until there is no case where the Euclidean distance value is greater than the preset Euclidean distance threshold, and each leaf node is output.

[0074] When there is no case where the Euclidean distance value is greater than the preset Euclidean distance threshold in the leaf nodes, each leaf node is output, and the membership degree corresponding to each data in each leaf node is obtained, and the membership degree corresponding to each data in each leaf node is output as the repair membership degree of each ecological restoration area of the strip mine.

[0075] It should be noted that the repair membership degree includes low vegetation coverage membership degree, medium vegetation coverage membership degree, high vegetation coverage membership degree, low biological community structure membership degree, and medium biological community structure membership degree. Through the method, the ecological restoration data information of the ecological restoration area of the strip mine can be quickly evaluated by fusing the decision tree classification algorithm, and the ecological restoration data information of the ecological restoration area of the strip mine includes the type of vegetation, the coverage information of vegetation, the community structure of organisms, and soil substrate data.

[0076] Further, in the strip mine ecological restoration effectiveness evaluation method based on wireless sensors, relevant early warning information is generated according to the repair membership degree evaluation index and the repair membership degree of each ecological restoration area of the strip mine, specifically including:

[0077] The repair membership degree evaluation index is set, and it is determined whether the repair membership degree of each ecological restoration area of the strip mine is greater than the repair membership degree evaluation index;

[0078] When the repair membership degree of the ecological restoration area of the strip mine is greater than the repair membership degree evaluation index, the corresponding ecological restoration area is regarded as an abnormal area, and the abnormal area is warned;

[0079] When the repair membership degree of the ecological restoration area of the strip mine is not greater than the repair membership degree evaluation index, the corresponding ecological restoration area is regarded as a normal area, and the normal area is displayed in a preset manner.

[0080] In addition, the method further includes:

[0081] The historical meteorological feature data of each ecological restoration area is obtained through big data, and a meteorological feature prediction model is constructed based on a long short-term memory neural network, and the historical meteorological feature data of each ecological restoration area is input into the meteorological feature prediction model for training;

[0082] obtaining meteorological feature data of each ecological restoration region within the preset time through the trained meteorological feature prediction model;

[0083] obtaining soil matrix data of each ecological restoration region, and obtaining historical average restoration time information under each soil matrix data, and obtaining predicted restoration time information under the soil matrix data of each ecological restoration region according to the soil matrix data of each ecological restoration region and the historical average restoration time information under each soil matrix data;

[0084] obtaining meteorological feature data within the predicted restoration time information according to the meteorological feature data of each ecological restoration region within the preset time and the predicted restoration time information under the soil matrix data of each ecological restoration region;

[0085] obtaining data collection coverage of the wireless sensor under the meteorological feature data within the predicted restoration time information, and sorting the meteorological feature data within the predicted restoration time information to obtain the minimum data collection coverage of the wireless sensor within the predicted restoration time information;

[0086] replanning the number and installation position node of the wireless sensor according to the minimum data collection coverage of the wireless sensor within the predicted restoration time information, and generating a new wireless sensor layout diagram of the ecological restoration region of the open-pit mine.

[0087] It should be noted that, since the weather changes, by obtaining the data collection coverage of the wireless sensor under the meteorological feature data within the predicted restoration time information, the minimum data collection coverage of the wireless sensor under the meteorological feature data within the predicted restoration time information is selected as a reference to replan the number and installation position node of the wireless sensor, so that the soil matrix state data of the mine can be monitored under any meteorological feature, improving the rationality of monitoring.

[0088] In addition, the method further comprises:

[0089] obtaining energy consumption information between the wireless sensor and the communication node under each meteorological feature and the Euclidean distance through big data, and introducing a graph neural network, and inputting the energy consumption information between the wireless sensor and the communication node under each meteorological feature and the Euclidean distance into the graph neural network;

[0090] taking the meteorological feature and the Euclidean distance as a first node of the graph neural network, and taking the energy consumption information as a second node, and obtaining installation position information of the communication node and installation position information of the wireless sensor;

[0091] Obtain the meteorological characteristics of each ecological restoration area, and calculate the Euclidean distance between the communication nodes and the wireless sensors based on the installation position information of the communication nodes and the installation position information of the wireless sensors;

[0092] Based on the meteorological characteristics of each ecological restoration area, the Euclidean distance between the communication nodes and the wireless sensors, and the energy consumption information between the wireless sensors and the communication nodes under each meteorological characteristic and Euclidean distance, the total energy consumption information under the current meteorological characteristic and Euclidean distance is calculated;

[0093] When the total energy consumption information under the current meteorological characteristic and Euclidean distance is greater than the preset energy consumption threshold, the installation position information of the communication nodes is adjusted again until the total energy consumption information under the current meteorological characteristic and Euclidean distance is not greater than the preset energy consumption threshold, and the optimization of the installation position information of the communication nodes is completed.

[0094] It should be noted that different through the working environment and the installation position information of the communication nodes, the energy consumption is inconsistent, and the monitoring rationality of the wireless sensor can be further optimized by the method.

[0095] As shown in Figure 3 The second aspect of the present application provides a wireless sensor-based open-pit mine ecological restoration effectiveness evaluation system 4, which comprises a memory 41 and a processor 42, and the memory 41 comprises a wireless sensor-based open-pit mine ecological restoration effectiveness evaluation method program. When the wireless sensor-based open-pit mine ecological restoration effectiveness evaluation is executed by the processor 42, the following steps are realized:

[0096] Collect the data collection coverage of the wireless sensor in each working environment, and construct a wireless sensor layout diagram of the open-pit mine ecological restoration area according to the data collection coverage of the wireless sensor in each working environment;

[0097] According to the wireless sensor layout diagram of the open-pit mine ecological restoration area, the wireless sensor is arranged, and the ecological restoration data information of each open-pit mine ecological restoration area is collected in real time by the wireless sensor;

[0098] Through the evaluation of the ecological restoration data information of each open-pit mine ecological restoration area, the restoration membership degree of each open-pit mine ecological restoration area is obtained, and a restoration membership degree evaluation index is set;

[0099] According to the restoration membership degree evaluation index and the restoration membership degree of each open-pit mine ecological restoration area, relevant early warning information is generated and displayed in a preset manner.

[0100] Further, in the wireless sensor-based open-pit mine ecological restoration effectiveness evaluation system, the data collection coverage of the wireless sensor in each working environment is collected, which specifically comprises:

[0101] configure several working environments, test the wireless sensor in the working environment, obtain several sets of test data, and introduce an outlier detection algorithm to calculate the local outlier factor of each test data in each set of data;

[0102] set a local outlier factor threshold, and determine whether the local outlier factor is greater than the local outlier factor threshold;

[0103] When the local outlier factor is greater than the local outlier factor threshold, the test data corresponding to the local outlier factor greater than the local outlier factor threshold is deleted, and each set of test data is updated;

[0104] When the local outlier factor is not greater than the local outlier factor threshold, the test data corresponding to the local outlier factor not greater than the local outlier factor threshold is taken as the final test data, the average value of the final test data is calculated, the final test data is obtained, and is taken as the data collection coverage of the wireless sensor in each working environment.

[0105] Further, in the wireless sensor-based open-pit mine ecological restoration effectiveness evaluation system, a wireless sensor layout map of the open-pit mine ecological restoration area is constructed according to the data collection coverage of the wireless sensor in each working environment, specifically including:

[0106] obtain survey data of the open-pit mine ecological restoration area, and obtain working environment data of the wireless sensor in the open-pit mine ecological restoration area according to the survey data of the open-pit mine ecological restoration area;

[0107] According to the working environment data of the wireless sensor in the open-pit mine ecological restoration area and the data collection coverage of the wireless sensor in each working environment, the data collection coverage of the wireless sensor under the working environment data of the wireless sensor in the open-pit mine ecological restoration area is obtained;

[0108] obtain the to-be-restored range data of the open-pit mine ecological restoration area, and initialize the number of wireless sensors and the installation position node, calculate the total coverage range according to the data collection coverage of the wireless sensor under the working environment data of the wireless sensor in the open-pit mine ecological restoration area, the number of wireless sensors and the installation position node;

[0109] When the total coverage range is greater than the to-be-restored range data of the open-pit mine ecological restoration area, the number of wireless sensors and the installation position node are output, and a wireless sensor layout map of the open-pit mine ecological restoration area is constructed based on the number of wireless sensors and the installation position node;

[0110] When the total coverage range is not greater than the to-be-repaired range data of the strip mine ecological restoration region, the number and installation position of the wireless sensor are re-planned until the total coverage range is greater than the to-be-repaired range data of the strip mine ecological restoration region.

[0111] Further, in the wireless sensor-based strip mine ecological restoration effectiveness evaluation system, the wireless sensors are arranged according to the wireless sensor layout of the strip mine ecological restoration region, specifically:

[0112] The number and installation position of the communication nodes are initialized, and the communication of the wireless sensors is tested according to the number and installation position of the communication nodes to obtain the network coverage rate of the wireless sensors in the strip mine ecological restoration region;

[0113] The network coverage rate threshold is set, and it is judged whether the network coverage rate of the wireless sensors in the strip mine ecological restoration region is greater than the network coverage rate threshold;

[0114] When the network coverage rate of the wireless sensors in the strip mine ecological restoration region is greater than the network coverage rate threshold, the communication node introduction update of the wireless sensor layout of the strip mine ecological restoration region is performed according to the number and installation position of the communication nodes;

[0115] When the network coverage rate of the wireless sensors in the strip mine ecological restoration region is not greater than the network coverage rate threshold, the number and installation position of the communication nodes are re-planned until the network coverage rate of the wireless sensors in the strip mine ecological restoration region is greater than the network coverage rate threshold.

[0116] Further, in the wireless sensor-based strip mine ecological restoration effectiveness evaluation system, the repair membership degrees of the strip mine ecological restoration regions are obtained by evaluating the ecological restoration data information of each strip mine ecological restoration region, specifically:

[0117] The decision tree algorithm is introduced, and the ecological restoration evaluation index range is set, the data set is constructed according to the ecological restoration data information of each strip mine ecological restoration region, the data set is taken as a root node, and the root node is split based on the ecological restoration evaluation index range;

[0118] Through splitting, a plurality of leaf nodes are obtained, and the Euclidean distance values between each data in the leaf nodes are calculated, and it is judged whether there is still a case that the Euclidean distance value is greater than the preset Euclidean distance threshold in the leaf nodes;

[0119] When there is still a case that the Euclidean distance value is greater than the preset Euclidean distance threshold in the leaf nodes, the leaf nodes are continuously split until there is no case that the Euclidean distance value is greater than the preset Euclidean distance threshold, and each leaf node is output.

[0120] When the situation that the Euclidean distance value in the leaf node is greater than the preset Euclidean distance threshold does not exist, each leaf node is output, the membership degree corresponding to each data in each leaf node is obtained, and the membership degree corresponding to each data in each leaf node is taken as the repair membership degree of the ecological restoration region of the strip mine and is output.

[0121] Further, in the wireless sensor-based strip mine ecological restoration effectiveness evaluation system, relevant early warning information is generated according to the repair membership degree evaluation index and the repair membership degree of each ecological restoration region of the strip mine, and specifically includes the following steps.

[0122] The repair membership degree evaluation index is set, and it is judged whether the repair membership degree of each ecological restoration region of the strip mine is greater than the repair membership degree evaluation index.

[0123] When the repair membership degree of the ecological restoration region of the strip mine is greater than the repair membership degree evaluation index, the corresponding ecological restoration region is taken as an abnormal region, and the abnormal region is early warned.

[0124] When the repair membership degree of the ecological restoration region of the strip mine is not greater than the repair membership degree evaluation index, the corresponding ecological restoration region is taken as a normal region, and the normal region is displayed in a preset mode.

[0125] The third aspect of the present application provides a computer readable storage medium, including a wireless sensor-based strip mine ecological restoration effectiveness evaluation method program, when the wireless sensor-based strip mine ecological restoration effectiveness evaluation method program is executed by a processor, the steps of any one of the wireless sensor-based strip mine ecological restoration effectiveness evaluation methods are realized.

[0126] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic, for example, the division of the units is only a logical function division, and actual implementation can have another division manner, for example, multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed components can be through some interfaces, indirect coupling or communication connection of the devices or units, which can be electrical, mechanical or other forms.

[0127] The units described above as separate components can or can not be physically separated, and the components shown as units can or can not be physical units; they can be located in one place or distributed on multiple network units; and some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0128] In addition, each function unit in each embodiment of the present application can be integrated in one processing unit, or each unit can be separately as a unit, or two or more units can be integrated in one unit; the integrated unit can be realized in the form of hardware or in the form of hardware plus software function unit.

[0129] Those skilled in the art can understand that all or part of the steps of the above-mentioned method embodiments can be completed by program instruction related hardware, and the foregoing program can be stored in a computer readable storage medium, and the program executes the steps including the above-mentioned method embodiments when executed; and the foregoing storage medium includes a mobile storage device, a read-only memory (ROM), a random access memory (RAM), a magnetic disc or an optical disc, and various storage medium capable of storing program codes.

[0130] Alternatively, the integrated unit of the present application can be stored in a computer readable storage medium if it is realized in the form of a software function module and sold or used as an independent product. Based on this understanding, the technical solutions of the embodiments of the present application can be embodied in the form of a software product, which is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the embodiments of the method of the present application. The foregoing storage medium includes a mobile storage device, a ROM, a RAM, a magnetic disc or an optical disc, and various storage medium capable of storing program codes.

[0131] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the present application, which should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for evaluating the effectiveness of ecological restoration in an open-pit mine based on wireless sensors, characterized in that, Specifically comprising: Collecting the data collection coverage of the wireless sensor in each working environment, and constructing a wireless sensor layout of the open-pit mine ecological restoration area according to the data collection coverage of the wireless sensor in each working environment; Arranging the wireless sensor according to the wireless sensor layout of the open-pit mine ecological restoration area, and collecting ecological restoration data information of each open-pit mine ecological restoration area in real time through the wireless sensor; Through evaluation of the ecological restoration data information of each open-pit mine ecological restoration area, the restoration membership degree of each open-pit mine ecological restoration area is obtained, and a restoration membership degree evaluation index is set; According to the restoration membership degree evaluation index and the restoration membership degree of each open-pit mine ecological restoration area, relevant early warning information is generated and displayed in a preset manner; The method further comprises: Obtaining historical meteorological feature data of each ecological restoration area through big data, and constructing a meteorological feature prediction model based on a long short-term memory neural network, and inputting the historical meteorological feature data of each ecological restoration area into the meteorological feature prediction model for training; Through training, a trained meteorological feature prediction model is obtained, and meteorological feature data of each ecological restoration area within a preset time is obtained through the trained meteorological feature prediction model; Obtaining soil matrix data of each ecological restoration area, and obtaining historical average repair time information under each soil matrix data, and obtaining predicted repair time information of each ecological restoration area under the soil matrix data according to the historical average repair time information under each soil matrix data of each ecological restoration area; According to the meteorological feature data of each ecological restoration area within the preset time and the predicted repair time information of each ecological restoration area under the soil matrix data, meteorological feature data within the predicted repair time information is obtained; Obtaining the data collection coverage of the wireless sensor under the meteorological feature data within the predicted repair time information, and sorting the meteorological feature data within the predicted repair time information to obtain the minimum data collection coverage of the wireless sensor within the predicted repair time information; According to the minimum data collection coverage of the wireless sensor within the predicted repair time information, the number and installation position node of the wireless sensor are re-planned, and a new wireless sensor layout of the open-pit mine ecological restoration area is generated; The method further comprises: Obtaining each meteorological feature and energy consumption information between the wireless sensor and the communication node under the Euclidean distance through big data, and introducing a graph neural network, and inputting the energy consumption information between the wireless sensor and the communication node under the Euclidean distance into the graph neural network; Taking the meteorological feature and the Euclidean distance as the first node of the graph neural network, and taking the energy consumption information as the second node, the installation position information of the communication node and the installation position information of the wireless sensor are obtained; Obtaining the meteorological feature of each ecological restoration area, and calculating the Euclidean distance between the communication node and the wireless sensor based on the installation position information of the communication node and the installation position information of the wireless sensor; Calculate total energy consumption information under the current meteorological characteristics and the Euclidean distance based on the meteorological characteristics of each ecological restoration area, the Euclidean distance between the communication nodes and the wireless sensors, and the energy consumption information between the wireless sensors and the communication nodes under each meteorological characteristic and the Euclidean distance; When the total energy consumption information under the current meteorological characteristics and the Euclidean distance is greater than the preset energy consumption threshold, the installation position information of the communication node is readjusted until the total energy consumption information under the current meteorological characteristics and the Euclidean distance is not greater than the preset energy consumption threshold, and the optimization of the installation position information of the communication node is completed.

2. The wireless sensor-based evaluation method for the effectiveness of ecological restoration of an open-pit mine according to claim 1, characterized in that, The data acquisition coverage range of the wireless sensor in each working environment includes: A plurality of working environments are configured, and the wireless sensor is tested in the working environment to obtain a plurality of sets of test data, and an outlier detection algorithm is introduced to calculate the local outlier factor of each test data in each set of data; A local outlier factor threshold is set, and it is judged whether the local outlier factor is greater than the local outlier factor threshold; When the local outlier factor is greater than the local outlier factor threshold, the test data corresponding to the local outlier factor greater than the local outlier factor threshold is deleted, and each set of test data is updated; When the local outlier factor is not greater than the local outlier factor threshold, the test data corresponding to the local outlier factor not greater than the local outlier factor threshold is taken as the final test data, the average value of the final test data is calculated, and the final test data is obtained as the data acquisition coverage range of the wireless sensor in each working environment. 3.The wireless sensor-based evaluation method for the ecological restoration effectiveness of an open-pit mine according to claim 1, characterized in that, The wireless sensor arrangement diagram of the ecological restoration area of the open-pit mine is constructed according to the data acquisition coverage range of the wireless sensor in each working environment, specifically including: Obtain the survey data of the ecological restoration area of the open-pit mine, and obtain the working environment data of the wireless sensor in the ecological restoration area of the open-pit mine according to the survey data of the ecological restoration area of the open-pit mine; Obtain the data acquisition coverage range of the wireless sensor under the working environment data of the ecological restoration area of the open-pit mine according to the working environment data of the wireless sensor in the ecological restoration area of the open-pit mine and the data acquisition coverage range of the wireless sensor in each working environment; Obtain the to-be-restored range data of the ecological restoration area of the open-pit mine, and initialize the number and installation position node of the wireless sensor, and calculate the total coverage range according to the data acquisition coverage range of the wireless sensor under the working environment data of the ecological restoration area of the open-pit mine, the number and installation position node of the wireless sensor; When the total coverage range is greater than the to-be-restored range data of the ecological restoration area of the open-pit mine, the number and installation position node of the wireless sensor are output, and the wireless sensor arrangement diagram of the ecological restoration area of the open-pit mine is constructed based on the number and installation position node of the wireless sensor. When the total coverage range is not greater than the data of the range to be repaired of the strip mine ecological restoration region, the number and installation position of the communication nodes are re-planned until the total coverage range is greater than the data of the range to be repaired of the strip mine ecological restoration region. 4.The wireless sensor-based evaluation method for the ecological restoration effectiveness of an open-pit mine according to claim 1, characterized in that, The wireless sensors are arranged according to the wireless sensor arrangement diagram of the strip mine ecological restoration region, specifically: The number and installation position of the communication nodes are initialized, and the communication of the wireless sensors is tested according to the number and installation position of the communication nodes to obtain the network coverage rate of the wireless sensors in the strip mine ecological restoration region; A network coverage rate threshold is set, and it is judged whether the network coverage rate of the wireless sensors in the strip mine ecological restoration region is greater than the network coverage rate threshold; When the network coverage rate of the wireless sensors in the strip mine ecological restoration region is greater than the network coverage rate threshold, the wireless sensor arrangement diagram of the strip mine ecological restoration region is updated according to the number and installation position of the communication nodes; When the network coverage rate of the wireless sensors in the strip mine ecological restoration region is not greater than the network coverage rate threshold, the number and installation position of the communication nodes are re-planned until the network coverage rate of the wireless sensors in the strip mine ecological restoration region is greater than the network coverage rate threshold.

5. The wireless sensor-based evaluation method for the effectiveness of ecological restoration in an open-pit mine according to claim 1, characterized in that, Through evaluation of the ecological restoration data information of the strip mine ecological restoration regions, the restoration membership degrees of the strip mine ecological restoration regions are obtained, specifically: A decision tree algorithm is introduced, and an ecological restoration evaluation index range is set. A data set is constructed according to the ecological restoration data information of the strip mine ecological restoration regions, the data set is taken as a root node, and the root node is split based on the ecological restoration evaluation index range; Through splitting, a plurality of leaf nodes are obtained, and the Euclidean distance values between each data in the leaf nodes are calculated. It is judged whether there is still a case that the Euclidean distance values in the leaf nodes are greater than a preset Euclidean distance threshold; When there is still a case that the Euclidean distance values in the leaf nodes are greater than the preset Euclidean distance threshold, the leaf nodes are continuously split until there is no case that the Euclidean distance values are greater than the preset Euclidean distance threshold, and each leaf node is outputted; When there is no case that the Euclidean distance values in the leaf nodes are greater than the preset Euclidean distance threshold, each leaf node is outputted, and the membership degree corresponding to each data in each leaf node is obtained. The membership degree corresponding to each data in each leaf node is taken as the restoration membership degree of each strip mine ecological restoration region and is outputted. 6.The wireless sensor-based evaluation method for the ecological restoration effectiveness of an open-pit mine according to claim 1, characterized in that, According to the restoration membership degree evaluation index and the restoration membership degrees of the strip mine ecological restoration regions, relevant early warning information is generated, specifically including: A restoration membership degree evaluation index is set, and it is judged whether the restoration membership degrees of the strip mine ecological restoration regions are greater than the restoration membership degree evaluation index; When the restoration membership degrees of the strip mine ecological restoration regions are greater than the restoration membership degree evaluation index, the corresponding ecological restoration region is taken as an abnormal region, and the abnormal region is early warned. When the repair membership degree of the ecological repair area of the strip mine is not greater than the repair membership degree evaluation index, the corresponding ecological repair area is regarded as a normal area, and the normal area is displayed in a preset manner.

7. A wireless sensor-based open-pit mine ecological restoration effectiveness evaluation system, characterized in that, The system comprises a memory and a processor, the memory comprises a wireless sensor-based strip mine ecological repair effectiveness evaluation method program, and the wireless sensor-based strip mine ecological repair effectiveness evaluation is executed by the processor to realize the steps of the wireless sensor-based strip mine ecological repair effectiveness evaluation method according to any one of claims 1-6.

8. A computer-readable storage medium, characterized in that, The system comprises a memory and a processor, the memory comprises a wireless sensor-based strip mine ecological repair effectiveness evaluation method program, and the wireless sensor-based strip mine ecological repair effectiveness evaluation is executed by the processor to realize the steps of the wireless sensor-based strip mine ecological repair effectiveness evaluation method according to any one of claims 1-6.

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