Active protection method and device for strip mine electronic fence and electronic equipment

Abstract

The invention provides a strip mine electronic fence active protection method and device and electronic equipment, and relates to the technical field of positioning. Satellite navigation system signals and ground communication network clock information are cooperatively processed to obtain real-time position data of a target terminal, and satellite positioning and ground network positioning are switched by means of an adaptive filtering algorithm to eliminate signal shielding influence. In combination with remote sensing and geological data, a three-dimensional electronic fence is dynamically generated and adjusted through a multi-level warning threshold mechanism, and a behavior prediction algorithm is executed by using a localized core network edge computing node. The problems that in the prior art, positioning fails due to insufficient positioning precision and signal shielding, an electronic fence cannot dynamically adapt to environment changes, and safety protection is short due to the lack of localized real-time illegal behavior prediction can be solved. The technical effects of realizing high-precision real-time positioning of the target terminal, ensuring the positioning continuity of the signal shielding area, and early warning illegal behaviors in advance so as to improve the safety protection level of the strip mine are achieved.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the positioning technical field, and in particular to an open-pit mine electronic fence active protection method and device and electronic equipment. BACKGROUND

[0002] The open-pit mine safety protection system is the core of the intelligent construction of the mine, and is mainly used for personnel positioning, equipment scheduling and disaster early warning. At present, it is combined with Beidou and 5G technology to build a multi-dimensional monitoring system covering signal reception, data processing and protection decision-making through GNSS positioning, wireless communication and GIS. However, the traditional system mainly adopts the scheme of "GPS positioning + 4G public network communication", which is affected by problems such as satellite signal shielding, high network delay and low system integration, and is difficult to adapt to complex working conditions. The existing method also has defects such as 3-5 meters of positioning error caused by single-band GNSS without high-precision time synchronization, more than 5 minutes of slope monitoring lag, 50-100ms of 4G public network end-to-end delay which cannot support real-time prediction, information island formed by slope monitoring and vehicle anti-collision subsystems due to lack of unified protocol (integration <0.3), and monitoring interruption caused by less than 0.95 of wireless network coverage in deep mining, which seriously restricts the improvement of the intrinsic safety level of the open-pit mine. SUMMARY

[0003] The present disclosure provides an open-pit mine electronic fence active protection method and device, and electronic equipment. Its main purpose is to at least solve one of the technical problems in the related art to some extent.

[0004] According to a first aspect of the present disclosure, an open-pit mine electronic fence active protection method is provided, comprising: obtaining real-time position data of a target terminal based on carrier phase difference positioning by cooperatively processing satellite navigation system signals and ground communication network clock information; switching between satellite positioning and ground network positioning according to the quality of the satellite navigation system signals based on an adaptive filtering algorithm to eliminate positioning failure in signal shielding areas; generating a three-dimensional electronic fence boundary dynamically through a multi-level warning threshold mechanism using remote sensing monitoring data and geological monitoring data, and automatically adjusting the fence range based on environmental change data; predicting the illegal behavior of a user to which the target terminal belongs by deploying an edge computing node in a localized core network to execute a behavior prediction algorithm.

[0005] According to a second aspect of the present disclosure, an open-pit mine electronic fence active protection device is provided, comprising: The acquisition unit is configured to acquire real-time position data of the target terminal by processing satellite navigation system signals and ground communication network clock information cooperatively and based on carrier phase differential positioning; The switching unit is configured to switch between satellite positioning and ground network positioning based on the quality of the satellite navigation system signals according to an adaptive filtering algorithm to eliminate positioning failure in signal shielding areas. The generation unit is configured to dynamically generate a three-dimensional electronic fence boundary by a multi-level alert threshold mechanism using remote sensing monitoring data and geological monitoring data, and automatically adjust the fence range based on environmental change data. The execution unit is configured to execute a behavior prediction algorithm to predict the violation behavior of a user to which the target terminal belongs by deploying an edge computing node of a localized core network.

[0006] According to a third aspect of the present disclosure, an electronic device is provided, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method of the first aspect.

[0007] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to cause the computer to execute the method of the first aspect.

[0008] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the method of the first aspect.

[0009] The open-pit mine electronic fence active protection method and device, and the electronic device provided by the present disclosure can acquire real-time position data of a target terminal by cooperatively processing satellite navigation system signals and ground communication network clock information, switch between satellite positioning and ground network positioning by means of an adaptive filtering algorithm to eliminate the influence of signal shielding, dynamically generate and adjust a three-dimensional electronic fence by combining remote sensing and geological data through a multi-level alert threshold mechanism, and execute a behavior prediction algorithm by means of an edge computing node of a localized core network, so that the technical effects of achieving high-precision real-time positioning of a target terminal, ensuring the continuity of positioning in signal shielding areas, dynamically matching a three-dimensional electronic fence to environmental changes, and early warning of violation behavior to improve the safety protection level of an open-pit mine can be achieved.

[0010] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this disclosure, nor is it intended to limit the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description

[0011] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein: Figure 1 A schematic flowchart illustrating an active protection method for an electronic fence in an open-pit mine, provided in an embodiment of this disclosure; Figure 2 This is a schematic diagram of the structure of an active protection device for an electronic fence in an open-pit mine, provided in an embodiment of this disclosure. Figure 3 A schematic block diagram of an example electronic device provided for embodiments of this disclosure. Detailed Implementation

[0012] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0013] The active protection method, apparatus, and electronic equipment for open-pit mine electronic fences according to embodiments of this disclosure are described below with reference to the accompanying drawings.

[0014] Figure 1 This is a flowchart illustrating an active protection method for an electronic fence in an open-pit mine, as provided in an embodiment of this disclosure.

[0015] like Figure 1 As shown, the method includes the following steps: Step 101: By coordinating the processing of satellite navigation system signals and ground communication network clock information, real-time location data of the target terminal is obtained based on carrier phase differential positioning.

[0016] In the disclosed embodiments, this step aims to acquire the real-time location data of the target terminal. Its core is achieved through the collaborative processing of satellite navigation system signals and terrestrial communication network clock information, based on carrier phase differential positioning technology. Specifically, this step first acquires the satellite navigation system signals received by the target terminal, and simultaneously acquires the clock information provided by the terrestrial communication network. Through the collaborative fusion processing of these two types of information, a more accurate time reference and signal reference are provided for positioning. Then, utilizing the high-precision characteristics of carrier phase differential positioning technology, the real-time location data of the target terminal is calculated based on the aforementioned collaboratively processed information, thereby ensuring the accuracy and real-time nature of the location data. As one implementation method, the clock source of the terrestrial communication network base station can be used as an auxiliary time reference for the satellite signals, and differential correction data can be calculated using carrier phase observations to further improve positioning accuracy.

[0017] By coordinating the processing of satellite navigation system signals and ground communication network clock information, and combining carrier phase differential positioning technology, the problem of time reference deviation or insufficient positioning accuracy that may exist in traditional single positioning methods is effectively solved. It can stably obtain high-precision real-time location data of target terminals, providing reliable data support for subsequent positioning-dependent links related to electronic fence protection.

[0018] Step 102: Based on the adaptive filtering algorithm, switch between satellite positioning and ground network positioning modes according to the quality of the satellite navigation system signal to eliminate positioning failure in signal-blocked areas.

[0019] In the disclosed embodiments, this step aims to eliminate positioning failures in signal-blocked areas. The core of this approach is based on an adaptive filtering algorithm, which dynamically switches between satellite positioning and terrestrial network positioning according to the quality of the satellite navigation system signal. Specifically, the quality of the satellite navigation system signal is first monitored and evaluated in real time to obtain quality information reflecting signal availability or stability. This quality information is then input into the adaptive filtering algorithm, which analyzes whether the current satellite positioning mode meets the positioning requirements. If insufficient satellite signal quality leads to decreased or failed satellite positioning accuracy, the system automatically switches to terrestrial network positioning mode. If the satellite signal quality recovers to a level that meets positioning requirements, the system switches back to satellite positioning mode. This dynamic switching mechanism ensures the continuity of the positioning process. As one implementation method, the quality parameters of the navigation signal can be evaluated. When the quality parameters fall below a preset threshold, mode switching is triggered, and position compensation is performed using inertial navigation system data during the switching process to optimize positioning stability.

[0020] The dynamic switching between dual positioning modes driven by an adaptive filtering algorithm effectively solves the problem of positioning failure in areas with signal obstruction caused by the traditional single satellite positioning mode. It can provide continuous and stable positioning services for target terminals, avoid positioning interruption due to signal obstruction, and provide uninterrupted positioning data support for subsequent precise boundary monitoring and protection decisions of electronic fences.

[0021] Step 103: Using remote sensing monitoring data and geological monitoring data, a three-dimensional electronic fence boundary is dynamically generated through a multi-level warning threshold mechanism, and the fence range is automatically adjusted based on environmental change data.

[0022] In the disclosed embodiments, this step aims to achieve dynamic generation and adaptive adjustment of the 3D electronic fence boundary. The core is to utilize remote sensing monitoring data and geological monitoring data, combined with a multi-level warning threshold mechanism, and to dynamically optimize the fence based on environmental change data. Specifically, firstly, remote sensing monitoring data reflecting the overall environment and surface conditions of the mining area, and geological monitoring data reflecting the stability of the mining area's geological structure (such as displacement and subsidence), are acquired. Then, through a preset multi-level warning threshold mechanism, the two types of monitoring data are comprehensively analyzed and risk-assessed. Based on the threshold standards corresponding to different risk levels, a 3D electronic fence boundary adapted to the current mining area environment is dynamically generated. Simultaneously, environmental change data within the mining area (such as changes in geological conditions and adjustments to the work area) is captured in real time, and the generated 3D electronic fence range is automatically corrected and adjusted based on this data to ensure that the fence boundary always matches the actual environmental conditions. As one implementation method, a 3D point cloud model of the mining area can be constructed based on aerial photography data, and the fence boundary can be adjusted based on a displacement rate model established from geological monitoring data. When the displacement rate exceeds a preset threshold, a fence boundary shrinkage algorithm is activated to further improve the accuracy of the fence boundary.

[0023] By integrating remote sensing and geological monitoring data, generating fences based on multi-level warning threshold mechanisms, and automatically adjusting the range in conjunction with environmental changes, the traditional static electronic fences effectively solve the problems of being unable to adapt to dynamic changes in the mining environment and the protective boundaries being easily disconnected from actual risks. This enables the three-dimensional electronic fence to always maintain a precise match with the mining environment, improve the fence's coverage and early warning capabilities for mining risks, and provide more practical boundary control support for open-pit mine safety protection.

[0024] Step 104: By deploying edge computing nodes on the localized core network, a behavior prediction algorithm is executed to predict the illegal behavior of the user to whom the target terminal belongs.

[0025] In the disclosed embodiments, this step aims to achieve the early prediction of the illegal behaviors of the users of the target terminal. The core is to rely on the edge computing nodes deployed in the local core network and complete the prediction of illegal behaviors by executing the behavior prediction algorithm. Specifically, first, use the edge computing nodes deployed in the local core network and rely on their characteristics of being close to the data source and having fast computing response speed to obtain the key data related to the target terminal (such as the terminal location trajectory, motion state, etc.); then run the preset behavior prediction algorithm on the edge computing nodes to analyze and process the obtained target terminal data,挖掘 the hidden user behavior patterns and potential risk trends in the data, and further predict the possible illegal behaviors of the users of the target terminal in the future period (such as crossing the boundary into a dangerous area, illegal operations, etc.), providing a decision-making basis for subsequent security warnings and interventions. As an implementation method, a neural network model can be used to extract the features of the motion trajectory of the target terminal, predict the behavior trajectory in the future time period, and achieve the linkage of sound and light, vibration and remote scheduling through a multi-modal warning channel to enhance the response efficiency after the prediction of illegal behaviors.

[0026] Through the low-latency computing ability of the edge computing nodes in the local core network combined with the behavior prediction algorithm, the problems of high prediction latency and inability to timely predict illegal behaviors that may exist in traditional remote centralized computing are effectively solved. It can quickly and accurately identify the potential illegal risks of users in advance, provide active warning support for the safety protection of open-pit mines, reduce the probability of safety accidents caused by illegal behaviors, and improve the initiative and timeliness of overall safety protection.

[0027] The active protection method for the electronic fence of an open-pit mine provided by this disclosure can solve the safety protection short-board problems in the prior art caused by insufficient positioning accuracy, signal occlusion resulting in positioning failure, the inability of the electronic fence to dynamically adapt to environmental changes, and the lack of local real-time illegal behavior prediction. It can achieve the technical effects of high-precision real-time positioning of the target terminal, ensuring the continuity of positioning in the signal occlusion area, making the three-dimensional electronic fence dynamically match the environmental changes, and early warning of illegal behaviors to improve the safety protection level of open-pit mines by协同 processing the satellite navigation system signals and the ground communication network clock information to obtain the real-time position data of the target terminal,借助 the adaptive filtering algorithm to switch between satellite positioning and ground network positioning to eliminate the influence of signal occlusion,结合 remote sensing and geological data to dynamically generate and adjust the three-dimensional electronic fence through a multi-level warning threshold mechanism, and利用 the edge computing nodes in the local core network to execute the behavior prediction algorithm.

[0028] Further, in some embodiments of this disclosure, the协同 processing of the satellite navigation system signals and the ground communication network clock information includes: using the clock source of the ground communication network base station as the auxiliary time reference for the satellite signal and calculating the differential correction data through the carrier phase observation value.

[0029] Specifically, in this embodiment, the coordinated processing of satellite navigation system signals and ground communication network clock information is achieved through the following specific methods: First, a high-precision clock source output by the base station in the ground communication network is acquired. This clock source must meet industrial-grade time synchronization standards to ensure stability. It is used as an auxiliary time reference for the satellite navigation system signals to calibrate the time deviation that may occur during satellite signal transmission, ensuring the consistency of satellite signals and ground network information in the time dimension. Subsequently, the carrier phase observation values ​​of the satellite navigation system received by the target terminal and the carrier phase observation values ​​of the same batch of satellites obtained by the reference station pre-deployed at a fixed location in the mining area are synchronously collected. By calculating the difference between the carrier phase observation values ​​of the target terminal and the reference station, common error factors such as satellite orbit error and ionospheric delay are eliminated, thereby generating differential correction data for the target terminal. This differential correction data is then integrated into the subsequent carrier phase differential positioning calculation to optimize the positioning results.

[0030] By introducing a high-precision clock source from a ground communication base station, the inherent vulnerability of satellite navigation system signals to external interference is effectively compensated, thus improving time synchronization accuracy. Simultaneously, differential correction data calculation based on carrier phase observations further eliminates the impact of various common errors on positioning. Compared to positioning methods that rely solely on satellite signals, this significantly reduces positioning errors, further enhancing the accuracy of real-time location data for the target terminal and laying a more reliable data foundation for the precision of subsequent electronic fence protection.

[0031] Furthermore, in some embodiments of this disclosure, the mode switching between satellite positioning and terrestrial network positioning based on the quality of the satellite navigation system signal includes: By evaluating the quality parameters of the navigation signal, a mode switch is triggered when the quality parameters fall below a preset threshold, and position compensation is performed by combining inertial navigation system data during the switching process.

[0032] Specifically, in this embodiment, the switching between satellite positioning and terrestrial network positioning modes will be performed according to the following process: First, multiple quality parameters of the satellite navigation system signal are collected in real time, including signal-to-noise ratio (SNR), number of visible satellites, carrier phase lock status, and pseudorange measurement error. These parameters need to be analyzed and quantified in real time by the signal analysis module built into the target terminal. Second, based on the signal propagation characteristics of different areas of the open-pit mine (such as the deep part of the pit and the slope area), the corresponding thresholds for each quality parameter are preset (for example, the SNR threshold is set to 15dB and the number of visible satellites threshold is set to 4). When the signal analysis module detects any quality parameter... When the parameters are lower than the corresponding preset threshold for three consecutive sampling periods, the positioning mode switching command is automatically triggered, switching the current satellite positioning mode to the ground network positioning mode. During the mode switching process, the inertial navigation system (INS) on the target terminal is called simultaneously. This system needs to complete the parameter calibration with the positioning module in advance. By collecting the angular velocity and acceleration data output by the inertial navigation system and combining it with the last valid satellite positioning result before the switch, the Kalman filter algorithm is used to calculate the position change within the switching gap (usually 50-200ms) to generate position compensation data, fill the positioning data gap during the switching process, and ensure the continuous output of position information.

[0033] By employing a clear quality parameter evaluation and threshold triggering mechanism, erroneous switching caused by brief signal fluctuations is avoided, ensuring the accuracy of mode switching timing. Simultaneously, the data compensation of the inertial navigation system effectively solves the problem of location data interruption that easily occurs during positioning mode switching, eliminates positioning deviations during the switching process, and enables the target terminal's positioning service to maintain continuous and stable output even in areas with poor satellite signals, providing uninterrupted data stream support for the electronic fence's real-time monitoring of the target location.

[0034] Furthermore, in some embodiments of this disclosure, the step of dynamically generating the three-dimensional electronic fence boundary through a multi-level warning threshold mechanism includes: constructing a three-dimensional point cloud model of the mining area based on aerial photography data, adjusting the fence boundary according to the displacement rate model established based on the geological monitoring data, and activating a fence boundary shrinkage algorithm when the displacement rate exceeds a preset threshold.

[0035] Specifically, in this embodiment, the dynamic generation and adjustment of the three-dimensional electronic fence boundary will be achieved through the following specific process: First, a drone equipped with a lidar and a high-resolution camera will be used to conduct aerial photography of the entire open-pit mine area according to a preset route (e.g., covering the core working area of ​​the mine every 2 hours). Spatial data of the mine's surface topography, working face distribution, and dangerous areas (such as slopes and goaf areas) will be collected. This aerial photography data will be imported into point cloud processing software. Through point cloud stitching, noise reduction, and coordinate calibration (associating with the mine's coordinate system), a three-dimensional point cloud model that matches the actual terrain of the mine area at a 1:1 scale will be constructed as the spatial basis for generating the electronic fence boundary. Second, GNSS displacement monitoring stations and tilt sensors will be deployed in key geological areas such as mine slopes and pit edges to collect real-time three-dimensional coordinate change data of each monitoring point. Time series data will be used to analyze the changes in these data. The analysis algorithm processes the collected geological data, establishes geological displacement rate models for different regions, and clarifies the displacement change patterns per unit time in each region. Subsequently, based on the geological hazard risk level of the mining area (e.g., classifying slope areas into high-risk, medium-risk, and low-risk), a corresponding displacement rate threshold is preset (e.g., a threshold of 0.5 cm / day for high-risk areas and 1 cm / day for medium-risk areas). When the geological displacement rate monitoring value of a certain area exceeds the corresponding preset threshold for two consecutive monitoring cycles, the fence boundary shrinkage algorithm is automatically activated. Taking the center point of the area with excessive displacement as the benchmark, a safety buffer distance of 5-10 meters is extended outward as the new upper limit of the fence boundary. At the same time, the spatial shape of the fence is adjusted based on the three-dimensional point cloud model to ensure that the new boundary conforms to the current terrain. Finally, the adjusted boundary parameters are synchronized to the electronic fence control system.

[0036] The 3D point cloud model constructed using aerial photography data enables the electronic fence boundary to accurately match the actual terrain of the mining area, avoiding the adaptation defects of traditional 2D fences to complex terrain. Furthermore, the threshold triggering and boundary contraction design based on the geological displacement rate model can respond to changes in geological risks in real time. Compared with fixed boundary fences, it can avoid safety hazards caused by geological displacement in advance, further enhancing the 3D electronic fence's ability to prevent and control dynamic risks in the mining area.

[0037] Furthermore, in some embodiments of this disclosure, the execution behavior prediction algorithm includes: The motion trajectory of the target terminal is feature extracted using a neural network model to predict its behavior trajectory in the future time period, and the linkage of sound, light, vibration and remote dispatch is realized through a multimodal alarm channel.

[0038] Specifically, in this embodiment, the behavior prediction algorithm is executed in the following ways: First, the target terminal's motion trajectory data within a preset time window (e.g., the past hour) is continuously collected, including parameters such as three-dimensional coordinates, instantaneous speed, motion direction angle, and dwell time recorded every second, forming a trajectory feature dataset; then, a Long Short-Term Memory (LSTM) neural network model trained and optimized for mining scenarios is used to process this dataset. The model's input layer receives the aforementioned trajectory parameters, the hidden layer extracts the temporal features (such as speed change trends and turning frequency) and spatial features (such as the frequency of approaching dangerous areas) of the trajectory through a gating mechanism, and the output layer generates a future preset time... The predicted trajectory of the target terminal within a segment (such as the next 30 seconds to 5 minutes) includes the expected location coordinate sequence and the timestamp of arrival at each location. When the predicted trajectory shows that the target terminal may enter the prohibited area of ​​the electronic fence, the multimodal alarm channel is immediately triggered: the buzzer built into the target terminal starts a high-frequency audible and visual alarm (such as a 100-decibel buzzer combined with a flashing red LED), the terminal vibration module vibrates continuously at a frequency of 50Hz, and at the same time, the warning information (including the predicted trajectory and terminal identification) is pushed to the dispatch system of the mine monitoring center through the local core network. The dispatch system automatically pops up a warning window and dials the walkie-talkie of the corresponding area safety officer, realizing real-time linkage between on-site terminal alarm and remote dispatch instructions.

[0039] By deeply extracting trajectory features through the LSTM neural network model, the accuracy of predicting future behavior trajectories is improved, avoiding the limitations of traditional rule-based prediction. The linkage design of the multimodal alarm channels ensures that target end users can perceive risks in real time and realizes rapid response of remote dispatch, significantly shortening the time interval from violation prediction to intervention and handling, and effectively reducing the probability of safety accidents caused by violations.

[0040] Furthermore, in some embodiments of this disclosure, the method further includes: when the positioning terminal is detected to enter the warning area of ​​the electronic fence, sending control commands to the autonomous driving system through the unified communication protocol stack, and simultaneously triggering the braking response of the device's anti-collision system.

[0041] Specifically, in this embodiment, the response operation after the positioning terminal enters the electronic fence warning zone will be executed according to the following process: First, the real-time location data of the positioning terminal is compared with the coordinate range of the three-dimensional electronic fence warning zone. When the terminal's position coordinates are detected to fall within the boundary of the warning zone for 5 consecutive sampling cycles (200ms per sampling cycle), it is determined that "the positioning terminal has entered the warning zone" and the response mechanism is triggered. Subsequently, the unified communication protocol stack deployed in the mine control center is invoked. This protocol stack is designed based on the industrial Ethernet architecture, supports low latency (transmission latency ≤50ms) and high reliability data transmission, and integrates instruction encryption and integrity verification modules, which can transmit control instructions (including preset format control instructions) in a preset format. The terminal ID, warning zone number, target deceleration parameters, and braking priority are encrypted and sent to the corresponding unmanned driving system (such as unmanned mining trucks and shovels) in the area. At the same time, the control command will be forwarded to the anti-collision system built into the unmanned driving equipment. After receiving the command, the anti-collision system will immediately activate the hydraulic braking module, cut off the power output of the equipment drive motor, and reduce the equipment from the normal operating speed (such as 1.5m / s) to the safe crawling speed (0.3m / s). If the positioning terminal is still detected in the warning zone within the next second, emergency braking will be further triggered to bring the equipment to a complete stop within a 3-meter braking distance. During this period, braking status data (such as current speed and braking pressure) will be transmitted back to the control center in real time.

[0042] By using a unified communication protocol stack, the problem of instruction transmission delay or failure caused by protocol incompatibility between traditional multi-systems is solved, ensuring that control instructions are transmitted quickly and safely. At the same time, the synchronous response of the unmanned driving system control and collision avoidance braking avoids the protection lag caused by "insynchronous instruction reception", and can control the speed of the equipment or even stop it in an emergency in a short time. This significantly reduces the risk of collision between positioning terminals (such as workers and small equipment) and unmanned driving equipment, and further improves the human-machine collaborative safety protection capability in open-pit mining operations.

[0043] It should be noted that the embodiments of this disclosure may include multiple steps. For ease of description, these steps are numbered, but these numbers are not a limitation on the execution time slots or execution order between the steps; these steps can be implemented in any order, and the embodiments of this disclosure do not limit this.

[0044] Corresponding to the above-described active protection method for electronic fences in open-pit mines, this disclosure also proposes an active protection device for electronic fences in open-pit mines. Since the device embodiments of this disclosure correspond to the method embodiments described above, details not disclosed in the device embodiments can be referred to the method embodiments described above, and will not be repeated here.

[0045] Figure 2 This is a schematic diagram of the structure of an active protection device for an electronic fence in an open-pit mine, as provided in an embodiment of this disclosure.Figure 3 As shown, it includes: The acquisition unit 21 is used to acquire the real-time location data of the target terminal based on carrier phase differential positioning by coordinating the processing of satellite navigation system signals and ground communication network clock information; The switching unit 22 is used to switch between satellite positioning and ground network positioning modes based on the quality of the satellite navigation system signal according to the adaptive filtering algorithm, so as to eliminate positioning failure in signal-blocked areas. The generation unit 23 is used to dynamically generate a three-dimensional electronic fence boundary using remote sensing monitoring data and geological monitoring data through a multi-level warning threshold mechanism, and automatically adjust the fence range based on environmental change data. The execution unit 24 is used to execute a behavior prediction algorithm to predict the illegal behavior of the user to which the target terminal belongs by means of an edge computing node deployed on the local core network.

[0046] The open-pit mine electronic fence active protection device disclosed herein obtains real-time location data of the target terminal by coordinating the processing of satellite navigation system signals and ground communication network clock information; switches between satellite positioning and ground network positioning using an adaptive filtering algorithm to eliminate the influence of signal obstruction; dynamically generates and adjusts the three-dimensional electronic fence through a multi-level warning threshold mechanism by combining remote sensing and geological data; and executes behavior prediction algorithms using localized core network edge computing nodes. Therefore, it can solve the safety protection shortcomings caused by insufficient positioning accuracy, positioning failure due to signal obstruction, inability of electronic fences to dynamically adapt to environmental changes, and lack of localized real-time violation prediction in existing technologies. It achieves the technical effects of high-precision real-time positioning of the target terminal, ensuring the continuity of positioning in signal obstruction areas, enabling the three-dimensional electronic fence to dynamically match environmental changes, and providing early warning of violations, thereby improving the safety protection level of open-pit mines.

[0047] It should be noted that the foregoing explanation of the method embodiments also applies to the apparatus of this embodiment, and the principle is the same, so it is not limited in this embodiment.

[0048] According to embodiments of this disclosure, this disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0049] Figure 3A schematic block diagram of an example electronic device 300 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0050] like Figure 3 As shown, the electronic device 300 includes a computing unit 301, which can perform various appropriate actions and processes based on a computer program stored in ROM (Read-Only Memory) 302 or a computer program loaded from storage unit 308 into RAM (Random Access Memory) 303. The RAM 303 may also store various programs and data required for the operation of the electronic device 300. The computing unit 301, ROM 302, and RAM 303 are interconnected via a bus 304. An I / O (Input / Output) interface 305 is also connected to the bus 304.

[0051] Multiple components in electronic device 300 are connected to I / O interface 305, including: input unit 306, such as keyboard, mouse, etc.; output unit 307, such as various types of displays, speakers, etc.; storage unit 308, such as disk, optical disk, etc.; and communication unit 309, such as network card, modem, wireless transceiver, etc. Communication unit 309 allows electronic device 300 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0052] The computing unit 301 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, CPUs (Central Processing Units), GPUs (Graphics Processing Units), various special-purpose AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, DSPs (Digital Signal Processors), and any suitable processor, controller, microcontroller, etc. The computing unit 301 performs the various methods and processes described above, such as the active protection method for open-pit mine electronic fences. For example, in some embodiments, the active protection method for open-pit mine electronic fences can be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as storage unit 308. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 300 via ROM 302 and / or communication unit 309. When the computer program is loaded into RAM 303 and executed by the computing unit 301, one or more steps of the methods described above can be performed. Alternatively, in other embodiments, the computing unit 301 may be configured to perform the aforementioned active protection method for open-pit mine electronic fences by any other suitable means (e.g., by means of firmware).

[0053] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application-Specific Standard Products), SOCs (System-on-Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0054] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0055] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, RAM, ROM, EPROM (Electrically Programmable Read-Only Memory) or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0056] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0057] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include LANs (Local Area Networks), WANs (Wide Area Networks), the Internet, and blockchain networks.

[0058] Computer systems can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. A server can be a cloud server, also known as a cloud computing server or cloud host, a hosting product within the cloud computing service system that addresses the shortcomings of traditional physical hosts and VPS (Virtual Private Server) services, such as high management difficulty and weak business scalability. Servers can also be servers for distributed systems or servers incorporating blockchain technology.

[0059] It's important to note that artificial intelligence (AI) is the study of enabling computers to simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). It encompasses both hardware and software technologies. AI hardware technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, and big data processing. AI software technologies primarily include computer vision, speech recognition, natural language processing, machine learning / deep learning, big data processing, and knowledge graph technologies.

[0060] The various numerical designations such as "first," "second," etc., used in this disclosure are merely for ease of description and are not intended to limit the scope of the embodiments of this disclosure, nor do they indicate a sequential order.

[0061] At least one of the features described in this disclosure can also be described as one or more, and multiple features can be two, three, four or more, and this disclosure does not impose any limitations. In the embodiments of this disclosure, for a technical feature, the technical features in that technical feature are distinguished by "first", "second", "third", "A", "B", "C" and "D", etc., and there is no sequential order or size order among the technical features described by "first", "second", "third", "A", "B", "C" and "D".

[0062] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0063] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method for active protection using an electronic fence in an open-pit mine, characterized in that, include: By coordinating the processing of satellite navigation system signals and ground communication network clock information, real-time location data of the target terminal is obtained based on carrier phase differential positioning; Based on an adaptive filtering algorithm, the system switches between satellite positioning and ground network positioning modes according to the quality of the satellite navigation system signal, in order to eliminate positioning failure in areas with signal obstruction. Using remote sensing and geological monitoring data, a three-dimensional electronic fence boundary is dynamically generated through a multi-level warning threshold mechanism, and the fence range is automatically adjusted based on environmental change data. By deploying edge computing nodes on the local core network, a behavior prediction algorithm is executed to predict the illegal behavior of the user to whom the target terminal belongs.

2. The method according to claim 1, characterized in that, The method of coordinating the processing of satellite navigation system signals and ground communication network clock information includes: using the clock source of the ground communication network base station as an auxiliary time reference for satellite signals, and calculating differential correction data through carrier phase observations.

3. The method according to claim 1, characterized in that, The mode switching between satellite positioning and terrestrial network positioning based on the quality of the satellite navigation system signal includes: By evaluating the quality parameters of the navigation signal, a mode switch is triggered when the quality parameters fall below a preset threshold, and position compensation is performed by combining inertial navigation system data during the switching process.

4. The method according to claim 1, characterized in that, The method of dynamically generating a three-dimensional electronic fence boundary through a multi-level warning threshold mechanism includes: A three-dimensional point cloud model of the mining area is constructed based on aerial photography data, and the fence boundary is adjusted according to the displacement rate model established based on the geological monitoring data. When the displacement rate exceeds a preset threshold, the fence boundary shrinkage algorithm is activated.

5. The method according to claim 1, characterized in that, The execution behavior prediction algorithm includes: The motion trajectory of the target terminal is feature extracted using a neural network model to predict its behavior trajectory in the future time period, and the linkage of sound, light, vibration and remote dispatch is realized through a multimodal alarm channel.

6. The method according to claim 1, characterized in that, Also includes: When the positioning terminal is detected to have entered the warning area of ​​the electronic fence, a control command is sent to the autonomous driving system through the unified communication protocol stack, and the braking response of the device's anti-collision system is triggered simultaneously.

7. An active protection device for an electronic fence in an open-pit mine, characterized in that, include: The acquisition unit is used to acquire the real-time location data of the target terminal based on carrier phase differential positioning by coordinating the processing of satellite navigation system signals and ground communication network clock information; The switching unit is used to switch between satellite positioning and ground network positioning modes based on an adaptive filtering algorithm and the quality of the satellite navigation system signal, so as to eliminate positioning failure in areas with signal obstruction. The generation unit is used to dynamically generate a three-dimensional electronic fence boundary using remote sensing monitoring data and geological monitoring data through a multi-level warning threshold mechanism, and automatically adjust the fence range based on environmental change data. The execution unit is used to execute a behavior prediction algorithm to predict the illegal behavior of the user to which the target terminal belongs by means of an edge computing node deployed on the local core network.

8. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-6.

10. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method according to any one of claims 1-6.

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