Evaluation method for ecological restoration effect of open mining mine based on wireless sensor

Abstract

The invention relates to an effect evaluation method for ecological restoration of an exposed mine mountain based on a wireless sensor, and belongs to the technical field of ecological restoration of mines, and the method comprises the following steps: collecting ecological restoration data information of each ecological restoration area of the exposed mine mountain in real time through the wireless sensor; the ecological restoration data information of each exposed mining mine ecological restoration area is evaluated, the restoration membership degree of each exposed mining mine ecological restoration area is obtained, and the restoration membership degree evaluation index is set. And finally, generating related early warning information according to the restoration membership evaluation index and the restoration membership of each exposed mining mine ecological restoration area, and displaying the information according to a preset mode. According to the method, the working environment of the target area is dynamically analyzed, so that the data acquisition coverage range of the wireless sensor in the target area is fully known, the arrangement reasonability of the wireless sensor can be further improved, and the restoration state of the mine ecological restoration area can be remotely monitored.

Description

Technical Field

[0001] The present invention relates to the technical field of mine ecological restoration, and in particular to an open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors. Background Art

[0002] Mining refers to the development and utilization of mineral resources, and mining activities involve many aspects such as residents around the mining area and the natural ecological environment. The development of mineral resources is closely related to the ecological environment. A large amount of toxic substances will be released during the mining process, causing serious harm to the environment. For example, mining will lead to the destruction of vegetation, soil erosion, and the impact on the living environment of plants and animals; causing damage to the mine environment. Compared with underground mining, open-pit mining causes more serious damage to the surface ecological environment. Open-pit mining often causes huge, sometimes even devastating damage to the mountain as the mining object, from topography, landforms to soil, rocks, from landscape systems to ecosystems. After mining, it is often necessary to repair the ecology through physical means, chemical means and other technologies. During ecological restoration, wireless sensors are often used to remotely monitor the restoration of the ecology. However, the actual working environment is not considered when arranging wireless sensors, which affects the monitoring coverage area of ​​the wireless sensors, and then leads to the inability to monitor some areas, which is not conducive to real-time understanding of the restoration of the ecology. Summary of the invention

[0003] The present invention overcomes the shortcomings of the prior art and provides an open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors.

[0004] To achieve the above object, the technical solution adopted by the present invention is: The first aspect of the present invention provides an open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors, which specifically includes: Collecting data collection coverage of wireless sensors in various working environments, and constructing a wireless sensor layout map of the open-pit mine ecological restoration area according to the data collection coverage of the wireless sensors in various working environments; Arrange wireless sensors 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 sensors; By evaluating the ecological restoration data information of each open-pit mine ecological restoration area, the restoration membership of each open-pit mine ecological restoration area is obtained, and a restoration membership evaluation index is set; Relevant early warning information is generated based on the restoration membership evaluation index and the restoration membership of each open-pit mine ecological restoration area, and displayed in a preset manner.

[0005] Furthermore, in the open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors, the data collection coverage of wireless sensors in various working environments is collected, specifically including: Configure several working environments, test the wireless sensor in the working environments, obtain several groups of test data, introduce an outlier detection algorithm, and calculate the local outlier factor of each test data in each group of data by using the outlier detection algorithm; Setting a local outlier factor threshold, and determining 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 being greater than the local outlier factor threshold is deleted, and each group 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 used as the final test data, and the average value of the final test data is calculated to obtain the final test data, and the final test data is used as the data collection coverage of the wireless sensor in each working environment.

[0006] Furthermore, in the open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors, a wireless sensor layout map of the open-pit mine ecological restoration area is constructed according to the data collection coverage of the wireless sensors in each working environment, specifically including: Obtaining survey data of an open-pit mine ecological restoration area, and obtaining working environment data of wireless sensors in the open-pit mine ecological restoration area based on the survey data of the open-pit mine ecological restoration area; Obtaining the data collection coverage of the wireless sensor under the working environment data of the open-pit mine ecological restoration area 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; Obtain data on the scope to be restored in the open-pit mine ecological restoration area, initialize the number of wireless sensors and installation location nodes, and calculate the total coverage range according to the data collection coverage range of the wireless sensors under the working environment data of the open-pit mine ecological restoration area, the number of wireless sensors and the installation location nodes; When the total coverage is larger than the data of the to-be-repaired range of the open-pit mine ecological restoration area, the number of wireless sensors and the installation location nodes are output, and a wireless sensor layout diagram of the open-pit mine ecological restoration area is constructed based on the number of wireless sensors and the installation location nodes; When the total coverage range is not larger than the data of the scope to be restored in the open-pit mine ecological restoration area, the number of wireless sensors and the installation location nodes are replanned until the total coverage range is larger than the data of the scope to be restored in the open-pit mine ecological restoration area.

[0007] Furthermore, in the open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors, the wireless sensors are arranged according to the wireless sensor layout diagram of the open-pit mine ecological restoration area, specifically: Initialize the number and installation positions of communication nodes, and test the communication status of wireless sensors according to the number and installation positions of communication nodes to obtain the network coverage of wireless sensors in the open-pit mine ecological restoration area; Setting a network coverage threshold, and determining whether the network coverage of the wireless sensor in the open-pit mine ecological restoration area is greater than the network coverage threshold; When the network coverage of the wireless sensor in the open-pit mine ecological restoration area is greater than the network coverage threshold, the wireless sensor layout diagram of the open-pit mine ecological restoration area is updated by introducing communication nodes according to the number and installation positions of the communication nodes; When the network coverage of the wireless sensor in the open-pit mine ecological restoration area is not greater than the network coverage threshold, the number and installation locations of communication nodes are replanned until the network coverage of the wireless sensor in the open-pit mine ecological restoration area is greater than the network coverage threshold.

[0008] Furthermore, in the open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors, the restoration membership of each open-pit mine ecological restoration area is obtained by evaluating the ecological restoration data information of each open-pit mine ecological restoration area, specifically: Introducing a decision tree algorithm, and setting an ecological restoration evaluation index range, constructing a data set based on the ecological restoration data information of each open-pit mine ecological restoration area, taking the data set as a root node, and splitting the root node based on the ecological restoration evaluation index range; By splitting, a number of leaf nodes are obtained, and the Euclidean distance value between each data in the leaf nodes is calculated to determine whether there is still a situation in the leaf node where the Euclidean distance value is greater than the preset Euclidean distance threshold; When there is still a situation in the leaf node where the Euclidean distance value is greater than the preset Euclidean distance threshold, the leaf node is continuously split until there is no situation where the Euclidean distance value is greater than the preset Euclidean distance threshold, and each leaf node is output; When there is no Euclidean distance value in the leaf node that is greater than the preset Euclidean distance threshold, each leaf node is output, and the membership corresponding to each data in each leaf node is obtained, and the membership corresponding to each data in each leaf node is output as the restoration membership of each open-pit mine ecological restoration area.

[0009] Furthermore, in the open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors, relevant early warning information is generated according to the restoration membership evaluation index and the restoration membership of each open-pit mine ecological restoration area, specifically including: Setting a restoration membership evaluation index, and determining whether the restoration membership of each open-pit mine ecological restoration area is greater than the restoration membership evaluation index; When the restoration membership of the open-pit mine ecological restoration area is greater than the restoration membership evaluation index, the corresponding ecological restoration area is regarded as an abnormal area, and an early warning is issued for the abnormal area; When the restoration membership of the open-pit mine ecological restoration area is not greater than the restoration membership evaluation index, the corresponding ecological restoration area is regarded as a normal area, and the normal area is displayed in a preset manner.

[0010] A second aspect of the present invention provides an open-pit mine ecological restoration effectiveness evaluation system based on wireless sensors, the system comprising a memory and a processor, the memory comprising an open-pit mine ecological restoration effectiveness evaluation method program based on wireless sensors, and when the open-pit mine ecological restoration effectiveness evaluation based on wireless sensors is executed by the processor, any step of the open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors is implemented.

[0011] The third aspect of the present invention provides a computer-readable storage medium, including a program for an open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors. When the open-pit mine ecological restoration effectiveness evaluation based on wireless sensors is executed by a processor, any step of the open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors is implemented.

[0012] The present invention solves the defects existing in the background technology and has the following beneficial effects: The present invention collects the data collection coverage of wireless sensors in each working environment, and constructs a wireless sensor layout diagram of the open-pit mine ecological restoration area according to the data collection coverage of the wireless sensors in each working environment, and then arranges the wireless sensors according to the wireless sensor layout diagram of the open-pit mine ecological restoration area, and collects the ecological restoration data information of each open-pit mine ecological restoration area in real time through the wireless sensors, thereby evaluating the ecological restoration data information of each open-pit mine ecological restoration area, obtaining the restoration membership of each open-pit mine ecological restoration area, and setting the restoration membership evaluation index, and finally generating relevant early warning information according to the restoration membership evaluation index and the restoration membership of each open-pit mine ecological restoration area, and displaying it in a preset manner. The present invention dynamically analyzes the working environment of the target area, thereby fully understanding the data collection coverage of the wireless sensors in the target area, and can further improve the rationality of the layout of the wireless sensors, so as to facilitate remote monitoring of the restoration status of the mine ecological restoration area. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without paying creative work.

[0014] Figure 1 The overall flow chart of the open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors is shown; Figure 2 A partial flow chart of an open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors is shown; Figure 3 The system block diagram of the open-pit mine ecological restoration effectiveness evaluation system based on wireless sensors is shown. DETAILED DESCRIPTION

[0015] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying 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.

[0016] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0017] like Figure 1As shown, the first aspect of the present invention provides an open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors, specifically comprising: S102: Collecting data collection coverage of wireless sensors in various working environments, and constructing a wireless sensor layout map of the open-pit mine ecological restoration area according to the data collection coverage of the wireless sensors in various working environments; S104: Arrange wireless sensors 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 sensors; S106: By evaluating the ecological restoration data information of each open-pit mine ecological restoration area, the restoration membership of each open-pit mine ecological restoration area is obtained, and a restoration membership evaluation index is set; S108: Generate relevant early warning information based on the restoration membership evaluation index and the restoration membership of each open-pit mine ecological restoration area, and display it in a preset manner.

[0018] It should be noted that the present invention can fully understand the data collection coverage of wireless sensors in the target area by dynamically analyzing the working environment of the target area, and can further improve the rationality of the layout of wireless sensors, thereby facilitating remote monitoring of the restoration status of the mine ecological restoration area.

[0019] Furthermore, in the open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors, the data collection coverage of wireless sensors in various working environments is collected, specifically including: Configure several working environments, test the wireless sensors in the working environments, obtain several groups of test data, introduce outlier detection algorithms, and calculate the local outlier factor of each test data in each group of data through the outlier detection algorithms; Set the local outlier factor threshold and determine 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 group 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 used as the final test data, and the average value of the final test data is calculated to obtain the final test data, which is used as the data collection coverage of the wireless sensor in each working environment.

[0020] It should be noted that different working environments (such as temperature, humidity, salinity, pH, etc.) will affect the data collection coverage of the wireless sensor (the data collection coverage of a cylinder, cube or other shape centered on the wireless sensor and spreading to the surrounding area), causing certain changes in the data collection coverage of the wireless sensor. This method can identify abnormal outlier data through the outlier detection algorithm.

[0021] Furthermore, in the open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors, a wireless sensor layout map of the open-pit mine ecological restoration area is constructed according to the data collection coverage of the wireless sensors in each working environment, specifically including: 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 based on the survey data of the open-pit mine ecological restoration area; According to the working environment data of the wireless sensors in the ecological restoration area of ​​the open-pit mine and the data collection coverage of the wireless sensors in each working environment, the data collection coverage of the wireless sensors in the ecological restoration area of ​​the open-pit mine is obtained; Obtain the data of the area to be restored in the open-pit mine ecological restoration area, initialize the number of wireless sensors and the installation location nodes, and calculate the total coverage according to the data collection coverage of the wireless sensors under the working environment data of the open-pit mine ecological restoration area, the number of wireless sensors and the installation location nodes; When the total coverage is larger than the data of the to-be-restored range of the open-pit mine ecological restoration area, the number of wireless sensors and the installation location nodes 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 location nodes; When the total coverage is not larger than the data of the to-be-restored range of the open-pit mine ecological restoration area, the number of wireless sensors and the installation location nodes are replanned until the total coverage is larger than the data of the to-be-restored range of the open-pit mine ecological restoration area.

[0022] It should be noted that the survey data of the ecological restoration area of ​​the open-pit mine includes data on the working environment, the type of data to be restored, the area to be restored and other data. This method improves the rationality of the layout of wireless sensors so that the target area can be monitored, which is conducive to remote dynamic monitoring of the ecological restoration results of the open-pit mine.

[0023] like Figure 2 As shown, further, in the open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors, the wireless sensors are arranged according to the wireless sensor layout diagram of the open-pit mine ecological restoration area, specifically: S202: Initializing the number and installation positions of communication nodes, and testing the communication status of wireless sensors according to the number and installation positions of communication nodes to obtain the network coverage of wireless sensors in the open-pit mine ecological restoration area; S204: Setting a network coverage threshold, and determining whether the network coverage of the wireless sensor in the open-pit mine ecological restoration area is greater than the network coverage threshold; S206: When the network coverage of the wireless sensors in the open-pit mine ecological restoration area is greater than the network coverage threshold, the wireless sensor layout diagram of the open-pit mine ecological restoration area is updated with communication nodes according to the number and installation locations of the communication nodes; S208: When the network coverage of wireless sensors in the open-pit mine ecological restoration area is not greater than the network coverage threshold, re-plan the number of communication nodes and installation locations until the network coverage of wireless sensors in the open-pit mine ecological restoration area is greater than the network coverage threshold.

[0024] It should be noted that when the network coverage of wireless sensors in the open-pit mine ecological restoration area is not greater than the network coverage threshold, it means that there are packet loss, data transmission anomalies, data transmission interruptions, etc. during the transmission of the wireless sensor data. This method can further improve the rationality of remote monitoring.

[0025] Furthermore, in the open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors, the restoration data information of each open-pit mine ecological restoration area is evaluated to obtain the restoration membership of each open-pit mine ecological restoration area, specifically: The decision tree algorithm was introduced, and the range of ecological restoration evaluation indicators was set. A data set was constructed based on the ecological restoration data information of each open-pit mine ecological restoration area. The data set was used as a root node, and the root node was split based on the range of ecological restoration evaluation indicators. By splitting, several leaf nodes are obtained, and the Euclidean distance value between each data in the leaf node is calculated to determine whether there is still a situation in the leaf node where the Euclidean distance value is greater than the preset Euclidean distance threshold; When there is still a situation in the leaf node where the Euclidean distance value is greater than the preset Euclidean distance threshold, the leaf node is split continuously until there is no situation where the Euclidean distance value is greater than the preset Euclidean distance threshold, and each leaf node is output; When there is no Euclidean distance value greater than the preset Euclidean distance threshold in the leaf node, each leaf node is output, and the membership corresponding to each data in each leaf node is obtained, and the membership corresponding to each data in each leaf node is output as the restoration membership of each open-pit mine ecological restoration area.

[0026] It should be noted that the restoration membership includes low vegetation coverage membership, medium vegetation coverage membership, high vegetation coverage membership, low biological community structure membership, medium biological community structure membership, etc. Through this method, the decision tree classification algorithm can be integrated to quickly evaluate the ecological restoration data information of the open-pit mine ecological restoration area, where the ecological restoration data information of the open-pit mine ecological restoration area includes vegetation type, vegetation coverage information, biological community structure, soil matrix data, etc.

[0027] Furthermore, in the open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors, relevant early warning information is generated according to the restoration membership evaluation index and the restoration membership of each open-pit mine ecological restoration area, including: Set the restoration membership evaluation index and determine whether the restoration membership of each open-pit mine ecological restoration area is greater than the restoration membership evaluation index; When the restoration membership of the open-pit mine ecological restoration area is greater than the restoration membership evaluation index, the corresponding ecological restoration area will be regarded as an abnormal area and an early warning will be issued for the abnormal area; When the restoration membership of the open-pit mine ecological restoration area is not greater than the restoration membership evaluation index, the corresponding ecological restoration area will be regarded as a normal area, and the normal area will be displayed in a preset manner.

[0028] In addition, the method further comprises: Obtain historical meteorological characteristic data of each ecological restoration area through big data, and construct a meteorological characteristic prediction model based on a long short-term memory neural network, and input the historical meteorological characteristic data of each ecological restoration area into the meteorological characteristic prediction model for training; Obtaining a trained meteorological characteristic prediction model through training, and obtaining meteorological characteristic data of each ecological restoration area within a preset time through the trained meteorological characteristic prediction model; Obtain soil matrix data for each ecological restoration area, and obtain historical average restoration time information under each soil matrix data, and obtain predicted restoration time information under the soil matrix data for each ecological restoration area based on the historical average restoration time information of each ecological restoration area and under each soil matrix data; Acquire the meteorological characteristic data within the predicted restoration time information according to the meteorological characteristic data of each ecological restoration area within the preset time and the predicted restoration time information under the soil matrix data of each ecological restoration area; Obtaining the data collection coverage of the wireless sensor under the meteorological characteristic data within the predicted repair time information, and sorting the meteorological characteristic data within the predicted repair time information to obtain the smallest data collection coverage of the wireless sensor within the predicted repair time information; The number of wireless sensors and the installation location nodes are replanned according to the smallest data collection coverage of the wireless sensor within the predicted restoration time information to generate a new wireless sensor layout diagram for the open-pit mine ecological restoration area.

[0029] It should be noted that, since the weather is subject to change, by obtaining the data collection coverage of wireless sensors under the meteorological characteristic data within the predicted repair time information, the data collection coverage of wireless sensors under the meteorological characteristic data within the minimum predicted repair time information is selected as a benchmark, and the number of wireless sensors and the installation location nodes are replanned, so that the soil matrix status data of the mine can be monitored regardless of any meteorological characteristics, thereby improving the rationality of monitoring.

[0030] In addition, the method further comprises: Obtaining various meteorological characteristics and energy consumption information between wireless sensors and communication nodes under Euclidean distances through big data, and introducing a graph neural network to input the various meteorological characteristics and energy consumption information between wireless sensors and communication nodes under Euclidean distances into the graph neural network; Using meteorological characteristics and Euclidean distance as the first node of the graph neural network and energy consumption information as the second node, obtaining the installation location information of the communication node and the installation location information of the wireless sensor; Acquire meteorological characteristics of each ecological restoration area, and calculate the Euclidean distance between the communication node and the wireless sensor based on the installation location information of the communication node and the installation location information of the wireless sensor; Based on the meteorological characteristics of each ecological restoration area, the Euclidean distance between the communication node and the wireless sensor, and the meteorological characteristics and the energy consumption information between the wireless sensor and the communication node under the Euclidean distance, the current meteorological characteristics and the total energy consumption information under the Euclidean distance are calculated; 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 location information of the communication node is readjusted until the total energy consumption information under the current meteorological characteristics and the Euclidean distance is no greater than the preset energy consumption threshold, thereby completing the optimization of the installation location information of the communication node.

[0031] It should be noted that different working environments and installation location information of communication nodes will lead to inconsistent energy consumption. This method can further optimize the monitoring rationality of wireless sensors.

[0032] like Figure 3As shown, the second aspect of the present invention provides an open-pit mine ecological restoration effectiveness evaluation system 4 based on wireless sensors. The system 4 includes a memory 41 and a processor 42. The memory 41 includes an open-pit mine ecological restoration effectiveness evaluation method program based on wireless sensors. When the open-pit mine ecological restoration effectiveness evaluation based on wireless sensors is executed by the processor 42, the following steps are implemented: Collect the data collection coverage of wireless sensors in various working environments, and construct a wireless sensor layout map of the open-pit mine ecological restoration area based on the data collection coverage of wireless sensors in various working environments; Wireless sensors are arranged according to the wireless sensor layout diagram of the open-pit mine ecological restoration area, and ecological restoration data information of each open-pit mine ecological restoration area is collected in real time through wireless sensors; By evaluating the ecological restoration data information of each open-pit mine ecological restoration area, the restoration membership of each open-pit mine ecological restoration area is obtained, and the restoration membership evaluation index is set; Relevant early warning information is generated based on the restoration membership evaluation index and the restoration membership of each open-pit mine ecological restoration area, and displayed in a preset manner.

[0033] Furthermore, in the open-pit mine ecological restoration effectiveness evaluation system based on wireless sensors, the data collection coverage of wireless sensors in various working environments includes: Configure several working environments, test the wireless sensors in the working environments, obtain several groups of test data, introduce outlier detection algorithms, and calculate the local outlier factor of each test data in each group of data through the outlier detection algorithms; Set the local outlier factor threshold and determine 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 group 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 used as the final test data, and the average value of the final test data is calculated to obtain the final test data, which is used as the data collection coverage of the wireless sensor in each working environment.

[0034] Furthermore, in the open-pit mine ecological restoration effectiveness evaluation system based on wireless sensors, a wireless sensor layout map of the open-pit mine ecological restoration area is constructed according to the data collection coverage of the wireless sensors in each working environment, specifically including: 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 based on the survey data of the open-pit mine ecological restoration area; According to the working environment data of the wireless sensors in the ecological restoration area of ​​the open-pit mine and the data collection coverage of the wireless sensors in each working environment, the data collection coverage of the wireless sensors in the ecological restoration area of ​​the open-pit mine is obtained; Obtain the data of the area to be restored in the open-pit mine ecological restoration area, initialize the number of wireless sensors and the installation location nodes, and calculate the total coverage according to the data collection coverage of the wireless sensors under the working environment data of the open-pit mine ecological restoration area, the number of wireless sensors and the installation location nodes; When the total coverage is larger than the data of the to-be-restored range of the open-pit mine ecological restoration area, the number of wireless sensors and the installation location nodes 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 location nodes; When the total coverage is not larger than the data of the to-be-restored range of the open-pit mine ecological restoration area, the number of wireless sensors and the installation location nodes are replanned until the total coverage is larger than the data of the to-be-restored range of the open-pit mine ecological restoration area.

[0035] Furthermore, in the open-pit mine ecological restoration effectiveness evaluation system based on wireless sensors, wireless sensors are arranged according to the wireless sensor layout diagram of the open-pit mine ecological restoration area, specifically: Initialize the number and installation locations of communication nodes, and test the communication status of wireless sensors based on the number and installation locations of communication nodes to obtain the network coverage of wireless sensors in the open-pit mine ecological restoration area; Set a network coverage threshold and determine whether the network coverage of the wireless sensor in the open-pit mine ecological restoration area is greater than the network coverage threshold; When the network coverage of the wireless sensors in the open-pit mine ecological restoration area is greater than the network coverage threshold, the wireless sensor layout diagram of the open-pit mine ecological restoration area is updated with communication nodes according to the number of communication nodes and installation locations; When the network coverage of wireless sensors in the open-pit mine ecological restoration area is not greater than the network coverage threshold, the number of communication nodes and installation locations are replanned until the network coverage of wireless sensors in the open-pit mine ecological restoration area is greater than the network coverage threshold.

[0036] Furthermore, in the open-pit mine ecological restoration effectiveness evaluation system based on wireless sensors, the restoration data information of each open-pit mine ecological restoration area is evaluated to obtain the restoration membership of each open-pit mine ecological restoration area, specifically: The decision tree algorithm was introduced, and the range of ecological restoration evaluation indicators was set. A data set was constructed based on the ecological restoration data information of each open-pit mine ecological restoration area. The data set was used as a root node, and the root node was split based on the range of ecological restoration evaluation indicators. By splitting, several leaf nodes are obtained, and the Euclidean distance value between each data in the leaf node is calculated to determine whether there is still a situation in the leaf node where the Euclidean distance value is greater than the preset Euclidean distance threshold; When there is still a situation in the leaf node where the Euclidean distance value is greater than the preset Euclidean distance threshold, the leaf node is split continuously until there is no situation where the Euclidean distance value is greater than the preset Euclidean distance threshold, and each leaf node is output; When there is no Euclidean distance value greater than the preset Euclidean distance threshold in the leaf node, each leaf node is output, and the membership corresponding to each data in each leaf node is obtained, and the membership corresponding to each data in each leaf node is output as the restoration membership of each open-pit mine ecological restoration area.

[0037] Furthermore, in the open-pit mine ecological restoration effectiveness evaluation system based on wireless sensors, relevant early warning information is generated according to the restoration membership evaluation index and the restoration membership of each open-pit mine ecological restoration area, including: Set the restoration membership evaluation index and determine whether the restoration membership of each open-pit mine ecological restoration area is greater than the restoration membership evaluation index; When the restoration membership of the open-pit mine ecological restoration area is greater than the restoration membership evaluation index, the corresponding ecological restoration area will be regarded as an abnormal area and an early warning will be issued for the abnormal area; When the restoration membership of the open-pit mine ecological restoration area is not greater than the restoration membership evaluation index, the corresponding ecological restoration area will be regarded as a normal area, and the normal area will be displayed in a preset manner.

[0038] The third aspect of the present invention provides a computer-readable storage medium, including a program for an open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors. When the open-pit mine ecological restoration effectiveness evaluation based on wireless sensors is executed by a processor, any step of the open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors is implemented.

[0039] In the 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. There may be other division methods in actual implementation, such as: 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, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0040] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they 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 present embodiment.

[0041] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0042] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiment; and the aforementioned storage medium includes: a mobile storage device, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0043] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods of each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

[0044] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for evaluating the ecological restoration effectiveness of open-pit mines based on wireless sensors, characterized in that: Specifically include: Collecting data collection coverage of wireless sensors in various working environments, and constructing a wireless sensor layout map of the open-pit mine ecological restoration area according to the data collection coverage of the wireless sensors in various working environments; Arrange wireless sensors 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 sensors; By evaluating the ecological restoration data information of each open-pit mine ecological restoration area, the restoration membership of each open-pit mine ecological restoration area is obtained, and a restoration membership evaluation index is set; Relevant early warning information is generated based on the restoration membership evaluation index and the restoration membership of each open-pit mine ecological restoration area, and displayed in a preset manner.

2. The method for evaluating the ecological restoration effectiveness of open-pit mines based on wireless sensors according to claim 1 is characterized in that: Collect the data collection coverage of wireless sensors in various working environments, including: Configure several working environments, test the wireless sensor in the working environments, obtain several groups of test data, introduce an outlier detection algorithm, and calculate the local outlier factor of each test data in each group of data by using the outlier detection algorithm; Setting a local outlier factor threshold, and determining 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 being greater than the local outlier factor threshold is deleted, and each group 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 used as the final test data, and the average value of the final test data is calculated to obtain the final test data, and the final test data is used as the data collection coverage of the wireless sensor in each working environment.

3. The method for evaluating the ecological restoration effectiveness of open-pit mines based on wireless sensors according to claim 1 is characterized in that: A wireless sensor layout map of an open-pit mine ecological restoration area is constructed according to the data collection coverage of the wireless sensors in each working environment, specifically including: Obtaining survey data of an open-pit mine ecological restoration area, and obtaining working environment data of wireless sensors in the open-pit mine ecological restoration area based on the survey data of the open-pit mine ecological restoration area; Obtaining the data collection coverage of the wireless sensor under the working environment data of the open-pit mine ecological restoration area 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; Obtain data on the scope to be restored in the open-pit mine ecological restoration area, initialize the number of wireless sensors and installation location nodes, and calculate the total coverage range according to the data collection coverage range of the wireless sensors under the working environment data of the open-pit mine ecological restoration area, the number of wireless sensors and the installation location nodes; When the total coverage is larger than the data of the to-be-repaired range of the open-pit mine ecological restoration area, the number of wireless sensors and the installation location nodes are output, and a wireless sensor layout diagram of the open-pit mine ecological restoration area is constructed based on the number of wireless sensors and the installation location nodes; When the total coverage range is not larger than the data of the scope to be restored in the open-pit mine ecological restoration area, the number of wireless sensors and the installation location nodes are replanned until the total coverage range is larger than the data of the scope to be restored in the open-pit mine ecological restoration area.

4. The method for evaluating the ecological restoration effectiveness of open-pit mines based on wireless sensors according to claim 1 is characterized in that: The wireless sensors are arranged according to the wireless sensor arrangement diagram of the open-pit mine ecological restoration area, specifically: Initialize the number and installation positions of communication nodes, and test the communication status of wireless sensors according to the number and installation positions of communication nodes to obtain the network coverage of wireless sensors in the open-pit mine ecological restoration area; Setting a network coverage threshold, and determining whether the network coverage of the wireless sensor in the open-pit mine ecological restoration area is greater than the network coverage threshold; When the network coverage of the wireless sensor in the open-pit mine ecological restoration area is greater than the network coverage threshold, the wireless sensor layout diagram of the open-pit mine ecological restoration area is updated by introducing communication nodes according to the number and installation positions of the communication nodes; When the network coverage of the wireless sensor in the open-pit mine ecological restoration area is not greater than the network coverage threshold, the number and installation locations of communication nodes are replanned until the network coverage of the wireless sensor in the open-pit mine ecological restoration area is greater than the network coverage threshold.

5. The method for evaluating the ecological restoration effectiveness of open-pit mines based on wireless sensors according to claim 1 is characterized in that: By evaluating the ecological restoration data information of each open-pit mine ecological restoration area, the restoration affiliation of each open-pit mine ecological restoration area is obtained, specifically: Introducing a decision tree algorithm, and setting an ecological restoration evaluation index range, constructing a data set based on the ecological restoration data information of each open-pit mine ecological restoration area, taking the data set as a root node, and splitting the root node based on the ecological restoration evaluation index range; By splitting, a number of leaf nodes are obtained, and the Euclidean distance value between each data in the leaf nodes is calculated to determine whether there is still a situation in the leaf node where the Euclidean distance value is greater than the preset Euclidean distance threshold; When there is still a situation in the leaf node where the Euclidean distance value is greater than the preset Euclidean distance threshold, the leaf node is continuously split until there is no situation where the Euclidean distance value is greater than the preset Euclidean distance threshold, and each leaf node is output; When there is no Euclidean distance value in the leaf node that is greater than the preset Euclidean distance threshold, each leaf node is output, and the membership corresponding to each data in each leaf node is obtained, and the membership corresponding to each data in each leaf node is output as the restoration membership of each open-pit mine ecological restoration area.

6. The method for evaluating the ecological restoration effectiveness of open-pit mines based on wireless sensors according to claim 1 is characterized in that: Relevant early warning information is generated based on the restoration membership evaluation index and the restoration membership of each open-pit mine ecological restoration area, including: Setting a restoration membership evaluation index, and determining whether the restoration membership of each open-pit mine ecological restoration area is greater than the restoration membership evaluation index; When the restoration membership of the open-pit mine ecological restoration area is greater than the restoration membership evaluation index, the corresponding ecological restoration area is regarded as an abnormal area, and an early warning is issued for the abnormal area; When the restoration membership of the open-pit mine ecological restoration area is not greater than the restoration membership evaluation index, the corresponding ecological restoration area is regarded as a normal area, and the normal area is displayed in a preset manner.

7. The open-pit mine ecological restoration effectiveness evaluation system based on wireless sensors is characterized by: The system includes a memory and a processor, wherein the memory includes a program for an open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors. When the open-pit mine ecological restoration effectiveness evaluation based on wireless sensors is executed by the processor, the steps of the open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors as described in any one of claims 1 to 6 are implemented.

8. A computer-readable storage medium, characterized in that: It includes a program for an open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors. When the open-pit mine ecological restoration effectiveness evaluation based on wireless sensors is executed by a processor, the steps of the open-pit mine ecological restoration effectiveness evaluation method based on wireless sensors as described in any one of claims 1 to 6 are implemented.

Images