Mine safety monitoring information acquisition system and method

Abstract

The invention relates to the technical field of mine safety monitoring, and discloses a mine safety monitoring information acquisition system and method, and the method comprises the steps: collecting dynamic parameters through an environment sensor, and adding a digital signature with a unique identifier for a data packet; when the threshold value is exceeded, the deformation measuring device is activated to scan the target area, and the instruction comprises a timestamp and an identity credential. Detection signals and vibration data are synchronously collected and encrypted; a rock mass state model is generated; deformation information is calculated and safely stored; multi-source data cross validation is carried out to improve the measurement accuracy; through the intelligent and automatic monitoring method, the real-time performance and accuracy of mine safety monitoring data can be effectively improved, and the influence of human factors on data acquisition is reduced. By combining high-precision deformation measurement and signal analysis technologies, potential dangerous areas can be quickly and accurately identified and positioned, and timely and effective early warning can be provided for mine operating personnel.

Description

Technical Field

[0001] The present invention relates to the technical field of mine safety monitoring, and in particular to a mine safety monitoring information collection system and method. Background Art

[0002] Traditional mine safety monitoring mostly relies on static data collection based on fixed sensors. Although this has improved work efficiency and safety to a certain extent, it is easy to miss potential safety hazards because it cannot reflect environmental changes in real time. In recent years, with the advancement of the Internet of Things (IoT) and 5G communication technology, more and more dynamic environmental monitoring solutions have been proposed. Such solutions are equipped with a variety of sensors to achieve real-time monitoring of multiple dynamic parameters such as temperature, humidity, gas concentration, vibration, etc. This diversified monitoring method has greatly enhanced the forward-looking early warning capability of mine safety. However, in the existing technology, there is a lack of in-depth capture of nonlinear deformation and its impact on mine safety, and the verification and validity assurance mechanism of the collected data is also weak, resulting in missing or untrue data in some cases, thereby affecting the accuracy of judgment.

[0003] At the same time, the existing mine monitoring technology also has significant deficiencies in data fusion processing. Existing solutions usually use simple linear models or fixed threshold judgments to predict the state of the rock mass, but fail to make full use of multi-source data from different sensors to effectively achieve cross-validation and logical verification. In addition, the existing technology often lacks visual analysis tools, making it difficult to intuitively display monitoring results, especially in complex environments, where simple two-dimensional graphics and other methods cannot effectively convey spatial information and timeliness. Therefore, the present invention proposes a mine safety monitoring information collection method based on environmental sensors and high-precision deformation measurement devices, which adopts the collaborative collection of dynamic parameters and cross-validation of multi-source data, which not only effectively improves the safety warning capability of the monitoring environment, but also combines data with three-dimensional spatial models to achieve dynamic generation of visual monitoring maps, providing engineering management personnel with a more intuitive decision-making basis and effectively reducing potential safety risks. Summary of the invention

[0004] In view of the above-mentioned existing problems, the present invention provides a mine safety monitoring information collection system and method, which can provide a more efficient, accurate and safe mine monitoring solution, respond to potential safety hazards in real time, and effectively protect the lives of miners and the safe operation of mines.

[0005] To solve the above technical problems, the present invention provides the following technical solutions: a method for collecting mine safety monitoring information, comprising: collaboratively collecting dynamic parameters in mine tunnels through environmental sensors, and attaching a digital signature containing a unique device identifier to each data packet during the collection process; when it is detected that the parameter value of any sensor exceeds a preset threshold, activating a high-precision deformation measurement device to scan the target area, and embedding a timestamp and an operator identity credential in the trigger instruction; transmitting a detection signal to the rock formation and synchronously collecting reflected signals and vibration data, and performing frame encryption processing on the original waveform data; generating a rock state model based on signal correlation, calculating spatial deformation information in combination with scanning data, and performing key segmentation and storage on model parameters; performing logical verification of the measurement results through a multi-source data cross-validation module, and verifying the validity of the data signature at the same time; dynamically fusing the verified measurement data with the three-dimensional space model to generate a visual monitoring map, and controlling the detail disclosure level of the map based on attribute permissions.

[0006] As a preferred solution of the mine safety monitoring information collection method described in the present invention, wherein: the environmental sensor includes a vibration sensor, a gas sensor and a temperature and humidity sensor; The activating the high-precision deformation measurement device includes connecting the gas sensor and the laser scanning device through a hardware-level trigger link to monitor and measure in real time; When the gas concentration exceeds the standard, the gas sensor triggers laser scanning, and the scanning head dynamically adjusts the angle according to the top plate contour to match the abnormal gas area. When the gas sensor detects a drop in gas concentration, the laser scanning device enters low power consumption mode.

[0007] As a preferred solution of the mine safety monitoring information collection method described in the present invention, the synchronous collection of reflected signals and vibration data includes: start instructions, mode switching and clock synchronization, the sound wave transmitting component generates a specific frequency band detection signal, the vibration sensor switches to a high-frequency sampling mode after the signal is transmitted, and captures data synchronously with the sound wave receiving component, the central processing module is aligned with the time scale, and the reflected signal is associated with the vibration data for storage, and when it is detected that the vibration sensor has missing data within the synchronization period, the redundant sensor is triggered to supplement the sampling and reconstruct the data set.

[0008] As a preferred solution of the mine safety monitoring information collection method described in the present invention, the scanning data calculates the spatial deformation information, including: a mobile scanning platform with a multi-degree-of-freedom robotic arm is installed in the tunnel, a reference scanning path is generated through a rock state model and data is collected, deformation gradients are monitored, the scanning path and strategy are automatically adjusted, the spatial coordinates of the terminal ranging module are calculated through an inverse kinematics algorithm, and the spatial coordinates are fused and calibrated with the output data of the rock state model; the calibrated spatial coordinate data is input into the deformation calculation model, and combined with the initial coordinate values ​​of the reference scanning stage to generate a three-dimensional deformation vector diagram.

[0009] As a preferred solution of the mine safety monitoring information collection method described in the present invention, the logic verification includes building a physical constraint relationship library between sensor data, extracting each parameter value in the current measurement cycle in the verification stage, and calculating whether the combination relationship meets the preset constraint conditions; When a constraint violation is detected, an abnormal event marker is generated and the specific constraint item violated is recorded; a verification request instruction is sent to a redundant sensor group within a preset range around the abnormal area; after receiving the instruction, the redundant sensor group collects the same type of parameter data through a high sampling frequency; the central processing module performs weighted fusion processing on the original data and the verification data.

[0010] As a preferred solution of the mine safety monitoring information collection method described in the present invention, the dynamic fusion with the three-dimensional space model includes installing an annular gas nozzle array outside the emission window of the laser ranging module to form an air curtain barrier to isolate the environment, monitor the deposition of particulate matter, increase the air curtain flow rate and physically clean the window when the deposition threshold is reached, detect the transmittance after cleaning, and trigger an alarm if it does not meet the standard, and store the environmental isolation status data and the measurement data synchronously for error compensation.

[0011] As a preferred solution of the mine safety monitoring information collection method described in the present invention, the generating of the visual monitoring map includes: arranging spatial reference markers in the target area, identifying characteristic information of the markers by a scanning device, and uniformly mapping multi-source measurement data to the same spatial coordinate system; A physical unclonable function PUF chip is embedded in the identifier. The PUF chip of each identifier generates a unique characteristic response code during the initialization phase, and the hash value of the response code is pre-stored in the central database; When acquiring the spatial distribution information of the marker through a mobile scanning platform, an end-to-end encrypted transmission channel is established, a temporary session key is generated to encrypt the imaging data, and a double verification mechanism is implemented in the data registration stage.

[0012] As a preferred solution of the mine safety monitoring information collection system described in the present invention, it includes: a sensor module, a distance measurement module, a central processing module, a deformation calculation and space calibration module, and a visualization control module; The sensor module integrates vibration, gas, temperature and humidity sensor networks to collect dynamic parameters of the mine tunnel environment in real time; The distance measurement module includes a laser distance measurement module and a terminal distance measurement module, which dynamically adjusts the scanning path to match the rock deformation gradient and performs fusion calibration with the reference scanning data; The central processing module manages clock synchronization, associates and stores reflection signals and vibration data, and triggers redundant sensors to collect additional data when data is missing; verifies the consistency of multi-source data based on the physical constraint relationship library, verifies the validity of digital signatures, and implements key segmentation storage; The deformation calculation and spatial calibration module fuses the laser ranging data and the terminal ranging coordinates to generate a three-dimensional deformation vector map; The visualization control module dynamically integrates the verified data with the three-dimensional space model to generate a visualization monitoring map, realizes the unified spatial coordinate system mapping of multi-source data, and controls the level of disclosure of map details.

[0013] A computer device comprises a memory and a processor, wherein the memory stores a computer program and the processor implements the steps of a mine safety monitoring information collection method when executing the computer program.

[0014] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for collecting mine safety monitoring information.

[0015] The beneficial effects of the present invention are as follows: logical verification is performed through a multi-source data cross-validation module, which improves the accuracy of the data and enhances the safety and reliability of the system. When the high-precision deformation measurement device is activated, intelligent decisions can be made based on real-time environmental parameters to accurately assess the safety status of the mine. The present invention emphasizes the secure storage and transmission of data. Through key segmentation storage and digital signature technology, it ensures that the data is not tampered with during the entire monitoring process. By dynamically fusing the monitoring data with the three-dimensional space model to generate a visual monitoring map, the mapping of multi-source data in a unified spatial coordinate system is realized, which is convenient for relevant personnel to conduct intuitive analysis and decision support. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0017] Figure 1 A schematic flow chart of a method for collecting mine safety monitoring information provided by an embodiment of the present invention.

[0018] Figure 2 A schematic diagram of working modules of a mine safety monitoring information collection system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0020] Example 1, reference Figure 1 , which is the first embodiment of the present invention, provides a method for collecting mine safety monitoring information, comprising: S1: Dynamic parameters in the mine tunnel are collected collaboratively through environmental sensors. During the collection process, a digital signature containing a unique device identifier is attached to each data packet.

[0021] Furthermore, environmental sensors include vibration sensors, gas sensors, and temperature and humidity sensors; S2: When it is detected that the parameter value of any sensor exceeds the preset threshold, the high-precision deformation measurement device is activated to scan the target area, and the timestamp and operator identity credentials are embedded in the trigger instruction.

[0022] Furthermore, a hardware-level trigger link is established between sensor groups, specifically including: electrically connecting the output signal end of the gas concentration sensor to the intelligent control module of the laser scanning device to form a direct signal transmission channel; when the gas concentration sensor detects that the target parameter exceeds the preset warning level, a pulse trigger signal is generated and transmitted to the logic control unit of the laser scanning device through the electrical connection channel; after the logic control unit analyzes the pulse signal, it starts the scanning head rotation mechanism of the laser scanning device to drive the scanning head to perform multi-angle measurement of the associated area along the preset trajectory; during the multi-angle measurement process, the scanning head rotation mechanism dynamically adjusts the scanning elevation angle according to the geometric contour characteristics of the tunnel roof, so that the laser beam coverage area forms a spatial match with the gas concentration abnormal area; at the same time, the parameter change trend of the gas concentration sensor is monitored in real time during the measurement process. If the detection value shows a downward trend within a continuous measurement cycle, the laser scanning device is controlled to switch to a low-power standby mode; the data of the multi-angle measurement is transmitted to the central processing module through a parallel processing channel, and is bound to the spatiotemporal tag of the gas concentration sensor for storage.

[0023] S3: Send detection signals to the rock formation and synchronously collect reflected signals and vibration data, and perform frame encryption processing on the original waveform data.

[0024] Furthermore, a collaborative working mechanism of the acoustic wave transmitting component and the vibration sensor is configured. At the beginning of the measurement cycle, the central processing module sends a start instruction to the acoustic wave transmitting component, and the acoustic wave transmitting component generates a detection signal with specific frequency band characteristics according to the instruction parameters; in the detection signal transmission stage, the vibration sensor enters a low sampling rate monitoring mode and continuously collects environmental background vibration data; when the detection signal transmission is completed, the acoustic wave receiving component enters a reflection signal capture stage, and the central processing module sends a mode switching instruction to the vibration sensor to make it enter a high-frequency sampling mode; the high-frequency sampling mode and the reflection signal capture stage adopt a clock synchronization mechanism, and a synchronization pulse signal is sent to the acoustic wave receiving component and the vibration sensor through the precision clock source of the central processing module to ensure that the time scales of the collected data of the two are accurately aligned; in the data storage stage, the characteristic parameters of the reflection signal are associated and packaged with the original waveform data of the vibration sensor in the corresponding time period to form a multimodal data set with a unified time reference; when it is detected that the vibration sensor has data missing in the synchronization period, the adjacent redundant vibration sensor is automatically triggered to collect data, and the complete data set is reconstructed through an interpolation algorithm.

[0025] S4: Generate a rock mass state model based on signal correlation, calculate spatial deformation information based on scanning data, and perform key segmentation and storage on model parameters.

[0026] Furthermore, the acoustic wave reflection signal is aligned with the acceleration spectrum collected by the vibration sensor in the time domain to generate a characteristic parameter matrix, which is input into the finite element analysis framework together with the three-dimensional deformation vector obtained by laser scanning, wherein: the acoustic wave parameters are mapped to the internal crack density coefficient of the rock mass, the vibration spectrum energy distribution is used to correct the rock mass elastic modulus parameters, and the three-dimensional deformation vector is used as a boundary constraint condition; a rock mass state model is generated.

[0027] A scanning device capable of dynamically adjusting the measurement sites is deployed, and a mobile scanning platform with a multi-degree-of-freedom robotic arm is installed in the tunnel, with a laser ranging module at the end of the robotic arm. In the initial measurement stage, a reference scanning path is generated through the point cloud data obtained by scanning, and the robotic arm is controlled to move along the path and collect basic deformation data. In the continuous monitoring stage, the gradient change characteristics of the historical deformation data are analyzed in real time, and when it is detected that the deformation rate of the local area exceeds the set deformation threshold, a new scanning path planning instruction is automatically generated. The new scanning path planning instruction includes: increasing the scanning point density in the high deformation area, extending the dwell measurement time of the key parts, and adjusting the incident angle of the laser beam to avoid obstacles. During the path execution process, the posture sensor of the robotic arm feeds back the angle data of each joint in real time, calculates the spatial coordinates of the end ranging module through the inverse kinematics algorithm, and performs fusion and calibration with the output data of the inertial navigation module. The calibrated spatial coordinate data is input into the deformation calculation model, and combined with the initial coordinate value of the reference scanning stage, a three-dimensional deformation vector diagram with millimeter-level accuracy is generated.

[0028] It should be noted that the deformation calculation model is based on the point cloud data of the initial scanning stage. The principal axis direction of the tunnel is determined by principal component analysis (PCA) to construct a local rectangular coordinate system. The difference method is used to process the deviation between the real-time scanning coordinates and the initial coordinates. The calculation formula is: ; in, is the coordinate difference, is the coordinate of the i-th measuring point at time t, is the initial coordinate; the displacement vector of each measuring point is interpolated according to the spatial position to generate a three-dimensional deformation vector diagram.

[0029] S5: Perform logical verification on the measurement results through the multi-source data cross-validation module and verify the validity of the data signature.

[0030] Furthermore, a physical constraint relationship library between sensor data is constructed to define the positive correlation constraint between the vibration amplitude change rate and the tilt angle change rate, the inverse proportional constraint between the gas concentration gradient and the air flow rate, and the linear constraint between the temperature change rate and the thermal conductivity of the rock mass. In the verification stage, the parameter values ​​in the current measurement cycle are extracted from the multi-source data set, and it is calculated whether their combination relationship meets the preset constraint conditions. When a constraint violation is detected, the following operations are performed: an abnormal event marker is generated and the specific constraint item that is violated is recorded; a verification request instruction is sent to the redundant sensor group within a preset range around the abnormal area; after receiving the instruction, the redundant sensor group starts the enhanced measurement mode to collect the same type of parameter data at a higher sampling frequency; the central processing module performs weighted fusion processing on the original data and the verification data. When the difference between the verification data and the original data exceeds an acceptable range, the original data is marked as invalid and the data source fault diagnosis process is triggered.

[0031] S6: The verified measurement data is integrated with the dynamics to generate a visual monitoring map, and the detailed disclosure level of the map is controlled based on attribute permissions.

[0032] It should be noted that the three-dimensional space model is a multi-layer structure model, including the geometric layer, attribute layer, dynamic layer and topological layer; Among them, the geometric layer is generated by laser scanning point cloud data with an accuracy of ±1mm; the attribute layer embeds the monitoring parameters of each spatial position including gas concentration, temperature gradient and rock state model output results; the dynamic layer updates the deformation vector field data in real time; the topological layer records the spatial relationship between the tunnel support structure, equipment position and benchmark markers.

[0033] Furthermore, an environmental isolation component is provided at the output end of the optical path of the measuring device, and an annular gas nozzle array is installed on the periphery of the emission window of the laser ranging module, and the nozzle array is connected to the high-pressure gas source through a flexible pipeline; in the measurement startup phase, the solenoid valve is controlled to open so that the high-pressure gas passes through the nozzle to form a conical air curtain barrier surrounding the laser beam; in the measurement process, the dust concentration sensor is used to monitor the deposition state of particulate matter outside the air curtain in real time, and when it is detected that the deposition thickness reaches the deposition threshold, the air curtain flow is controlled to increase to the cleaning mode, and the rotating scraping mechanism is started to physically clean the emission window surface; after the cleaning operation is completed, the window cleanliness is evaluated by the optical transmittance detection module, and if the standard is not met, a maintenance alarm signal is triggered; all environmental isolation status data are stored synchronously with the measurement data for error compensation calculation in subsequent data analysis.

[0034] It should be noted that spatial reference markers are arranged in the target area, and physically unclonable function (PUF) chips are embedded in the spectral characteristic markers installed in the alley. The PUF chip of each marker generates a unique characteristic response code during the initialization phase, and pre-stores the response code hash value in the central database; during the laser scanning phase, the scanning device reads the spectral characteristics and PUF response code of the marker, and performs the following security verification operations: first, the marker type is determined by spectral characteristic matching, and then a random challenge signal is sent to the PUF chip. After receiving the response code, its matching degree with the pre-stored hash value is calculated; when the matching degree is lower than 75%, it is determined that the marker may have been tampered with or replaced, and the following disposal measures are performed: the position of the abnormal marker is marked in the visual map, the scanning device in the adjacent area is triggered to re-measure the three-dimensional morphology of the marker, and the abnormal event log is encrypted and transmitted to the security audit module; the physical installation location information of all PUF chips is bound and stored with the three-dimensional model of the alley, and when an unauthorized position coordinate change is detected, the data fusion processing flow of the relevant area is automatically frozen.

[0035] Furthermore, when the spatial distribution information of the marker is obtained through a mobile scanning platform, an end-to-end encrypted transmission channel is established, specifically including: deploying a quantum key distribution (QKD) module between the multi-spectral imager carried by the drone and the ground data processing center to generate a temporary session key to encrypt the imaging data; in the data alignment stage, a double verification mechanism is implemented: the first verification is based on the comparison of the PUF response code of the marker with the pre-stored database, and the second verification is to detect whether the three-dimensional point cloud data has been tampered with through the digital watermark technology; when the double verification is passed, the following security fusion operations are performed: the encrypted imaging data and laser scanning data are decrypted in the trusted execution environment (TEE) and spatial coordinate conversion is performed. The coordinate transformation matrix used in the conversion process is dynamically generated by the hardware security module (HSM) and is valid for one time; after the alignment is completed, the plaintext data in the TEE is immediately cleared and the key seed of the HSM is updated; if an abnormal access request is detected during the alignment process, the zero-knowledge proof protocol is initiated to verify the requester's authority, and the final alignment result can only be output after the proof is passed.

[0036] Embodiment 2, the second embodiment of the present invention, is different from the previous embodiment in that: If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0037] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0038] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0039] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0040] Example 3, reference Figure 2 , is an embodiment of the present invention, and provides a mine safety monitoring information collection system, including a sensor module, a distance measurement module, a central processing module, a deformation calculation and space calibration module, and a visualization control module; The sensor module integrates vibration, gas, temperature and humidity sensor networks to collect dynamic parameters of the mine tunnel environment in real time; The ranging module, including the laser ranging module and the terminal ranging module, dynamically adjusts the scanning path to match the rock deformation gradient and performs fusion calibration with the reference scanning data; The central processing module manages clock synchronization, associates and stores reflection signals and vibration data, and triggers redundant sensors to collect additional data when data is missing. It verifies the consistency of multi-source data based on the physical constraint relationship library, verifies the validity of digital signatures, and implements key segmentation storage. The deformation calculation and spatial calibration module integrates the laser ranging data and the terminal ranging coordinates to generate a three-dimensional deformation vector map; The visualization control module dynamically integrates the verified data with the three-dimensional space model to generate a visual monitoring map, realize the unified spatial coordinate system mapping of multi-source data, and control the level of disclosure of map details.

[0041] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A mine safety monitoring information collection method, characterized in that: include, The dynamic parameters in the mine tunnel are collected collaboratively through environmental sensors, and a digital signature containing a unique device identifier is attached to each data packet during the collection process; When it is detected that the parameter value of any sensor exceeds the preset threshold, the high-precision deformation measurement device is activated to scan the target area, and the timestamp and operator identity credentials are embedded in the trigger instruction; Send detection signals to the rock formation and synchronously collect reflected signals and vibration data, and perform frame encryption processing on the original waveform data; Generate rock mass state model based on signal correlation, calculate spatial deformation information in combination with scanning data, and perform key segmentation and storage on model parameters; The measurement results are logically checked through multi-source data cross-validation, and the validity of the data signature is verified; The verified measurement data is dynamically integrated with the three-dimensional space model to generate a visual monitoring map, and the detailed disclosure level of the map is controlled based on attribute permissions.

2. A mine safety monitoring information collection method as claimed in claim 1, characterized in that: The environmental sensors include vibration sensors, gas sensors and temperature and humidity sensors; The activating the high-precision deformation measurement device includes connecting the gas sensor and the laser scanning device through a hardware-level trigger link to monitor and measure in real time; When the gas concentration exceeds the standard, the gas sensor triggers laser scanning, and the scanning head dynamically adjusts the angle according to the top plate contour to match the abnormal gas area. When the gas sensor detects a drop in gas concentration, the laser scanning device enters low power consumption mode.

3. A mine safety monitoring information collection method as claimed in claim 2, characterized in that: The synchronous collection of reflected signals and vibration data includes a start instruction, a mode switch and a clock synchronization. The sound wave transmitting component generates a detection signal of a specific frequency band. The vibration sensor switches to a high-frequency sampling mode after the signal is transmitted, and captures data synchronously with the sound wave receiving component. The central processing module is aligned with the time scale, and the reflected signal is associated with the vibration data for storage. When it is detected that the vibration sensor has data missing in the synchronization period, the redundant sensor is triggered to supplement the data and reconstruct the data set.

4. A mine safety monitoring information collection method as claimed in claim 3, characterized in that: The scanning data calculation of spatial deformation information includes installing a mobile scanning platform with a multi-degree-of-freedom mechanical arm in the tunnel, generating a reference scanning path and collecting data through a rock mass state model, monitoring deformation gradients, automatically adjusting the scanning path and strategy, calculating the spatial coordinates of the terminal ranging module through an inverse kinematics algorithm, and fusing and calibrating with the output data of the rock mass state model; The calibrated spatial coordinate data is input into the deformation calculation model and combined with the initial coordinate values ​​in the reference scanning stage to generate a three-dimensional deformation vector map.

5. A mine safety monitoring information collection method as claimed in claim 4, characterized in that: The logic verification includes building a physical constraint relationship library between sensor data, extracting each parameter value in the current measurement cycle, and calculating whether the combination relationship meets the preset constraint conditions in the verification stage; When a constraint violation is detected, an abnormal event marker is generated and the specific constraint item violated is recorded; a verification request instruction is sent to a redundant sensor group within a preset range around the abnormal area; after receiving the instruction, the redundant sensor group collects the same type of parameter data through a high sampling frequency; the central processing module performs weighted fusion processing on the original data and the verification data.

6. A mine safety monitoring information collection method as claimed in claim 5, characterized in that: The dynamic fusion with the three-dimensional space model includes installing an annular gas nozzle array outside the emission window of the laser ranging module to form an air curtain barrier to isolate the environment, monitor particle deposition, increase the air curtain flow rate and physically clean the window when the deposition threshold is reached, detect the transmittance after cleaning, and trigger an alarm if it does not meet the standard, and store the environmental isolation status data and the measurement data synchronously for error compensation.

7. A mine safety monitoring information collection method as claimed in claim 6, characterized in that: Generating a visual monitoring map includes placing spatial reference markers in the target area, identifying characteristic information of the markers through a scanning device, and uniformly mapping multi-source measurement data to the same spatial coordinate system; A physical unclonable function PUF chip is embedded in the identifier. The PUF chip of each identifier generates a unique characteristic response code during the initialization phase, and the hash value of the response code is pre-stored in the central database; When acquiring the spatial distribution information of the marker through a mobile scanning platform, an end-to-end encrypted transmission channel is established, a temporary session key is generated to encrypt the imaging data, and a double verification mechanism is implemented in the data registration stage.

8. A system using a mine safety monitoring information collection method as claimed in any one of claims 1 to 7, characterized in that: It includes sensor module, distance measurement module, central processing module, deformation calculation and space calibration module, and visual control module; The sensor module integrates vibration, gas, temperature and humidity sensor networks to collect dynamic parameters of the mine tunnel environment in real time; The distance measurement module includes a laser distance measurement module and a terminal distance measurement module, which dynamically adjusts the scanning path to match the rock deformation gradient and performs fusion calibration with the reference scanning data; The central processing module manages clock synchronization, associates and stores reflection signals and vibration data, and triggers redundant sensors to collect additional data when detection data is missing; Verify the consistency of multi-source data based on the physical constraint relationship library, verify the validity of digital signatures, and implement key segmentation storage; The deformation calculation and spatial calibration module fuses the laser ranging data and the terminal ranging coordinates to generate a three-dimensional deformation vector map; The visualization control module dynamically integrates the verified data with the three-dimensional space model to generate a visualization monitoring map, realizes the unified spatial coordinate system mapping of multi-source data, and controls the level of disclosure of map details.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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