A mine safety monitoring information acquisition system and method

Abstract

The present invention relates to the technical field of mine safety monitoring. The present invention discloses a mine safety monitoring information acquisition system and method, which includes collecting dynamic parameters through environmental sensors and adding a digital signature with a unique identifier to the data packet. When the threshold is exceeded, the deformation measurement device is activated to scan the target area, and the instruction contains a timestamp and an identity credential. The detection signal and the vibration data are synchronously collected and encrypted to generate a rock mass state model, calculate the deformation information and store it securely. The cross-validation of multi-source data improves the measurement accuracy, generates a visual monitoring map, and controls the information display according to permissions. This method can effectively improve the timeliness and accuracy of mine safety monitoring data through an intelligent and automated monitoring method, and reduce the influence of human factors on data collection. Combining high-precision deformation measurement and signal analysis technologies, it can quickly and accurately identify and locate potential dangerous areas, providing more timely and effective early warnings for mine operators.

Description

Technical Field

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

[0002] Traditional mine safety monitoring mostly relies on static data collection based on fixed sensors. Although this improves work efficiency and safety to a certain extent, it is prone to missing potential safety hazards due to the inability to reflect environmental changes in real time. In recent years, with the progress of the Internet of Things (IoT) and 5G communication technologies, more and more dynamic environment 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, and vibration. This diversified monitoring method greatly enhances the forward-looking early warning ability for mine safety. However, in the existing technology, there is a lack of in-depth capture of non-linear deformation and its impact on mine safety, and the mechanism for verifying and ensuring the validity of the collected data is also weak, resulting in missing or untrue data in some cases, thus affecting the accuracy of judgment.

[0003] At the same time, there are also significant deficiencies in the data fusion processing of existing mine monitoring technologies. Existing solutions usually use simple linear models or fixed threshold judgments to predict the state of rock masses, without fully utilizing multi-source data from different sensors to effectively achieve cross-verification and logical verification. In addition, existing technologies often lack visualization analysis tools and are difficult to intuitively display monitoring results. Especially in complex environments, it is impossible to effectively convey spatial information and timeliness using simple two-dimensional graphics and other methods. Therefore, the present invention proposes a mine safety monitoring information acquisition method based on environmental sensors and high-precision deformation measurement devices, which uses the collaborative acquisition of dynamic parameters and cross-verification of multi-source data, not only effectively improves the safety early warning ability of the monitoring environment, but also realizes the dynamic generation of visualization monitoring maps by combining data with a three-dimensional space model, providing a more intuitive decision-making basis for engineering managers and effectively reducing potential safety risks. Summary of the Invention

[0004] In view of the above existing problems, the present invention provides a mine safety monitoring information acquisition 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 ensure the life safety 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 includes: collaboratively collecting dynamic parameters in a mine roadway through environmental sensors, and attaching a digital signature containing the unique identifier of the device 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 the operator's identity credential in the trigger instruction; transmitting a detection signal to the rock formation and synchronously collecting the reflected signal and vibration data, and performing frame-by-frame encryption processing on the original waveform data; generating a rock mass state model based on signal correlation, calculating spatial deformation information in combination with the scan data, and storing the model parameters with key segmentation; performing logical verification on the measurement results through a multi-source data cross-verification module, and simultaneously verifying the validity of the data signature; dynamically fusing the verified measurement data with a 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 method for collecting mine safety monitoring information according to the present invention, wherein: the environmental sensors include vibration sensors, gas sensors, and temperature and humidity sensors;

[0007] The activation of the high-precision deformation measurement device includes connecting the gas sensor and the laser scanning device through a hardware-level trigger link for real-time monitoring and measurement;

[0008] When the gas concentration exceeds the standard, the gas sensor triggers laser scanning, and the scanning head dynamically adjusts the angle according to the roof contour to match the abnormal gas area. When the gas sensor monitors that the gas concentration drops, the laser scanning device enters the low-power mode.

[0009] As a preferred solution of the method for collecting mine safety monitoring information according to the present invention, wherein: the synchronous collection of the reflected signal and vibration data includes start instruction, mode switching, and clock synchronization. The acoustic wave emission component generates a detection signal in a specific frequency band, the vibration sensor switches to the high-frequency sampling mode after the signal is emitted, synchronously captures data with the acoustic wave receiving component, the central processing module aligns with the time scale, and stores the reflected signal and vibration data in association. When it is detected that there is data loss in the vibration sensor during the synchronous period, redundant sensors are triggered to supplement and reconstruct the data set.

[0010] As a preferred solution of a method for collecting mine safety monitoring information according to the present invention, wherein: calculating spatial deformation information from the scanned data includes installing a mobile scanning platform with a multi-degree-of-freedom robotic arm in a roadway, generating a reference scanning path through a rock mass state model and collecting data, monitoring the deformation gradient, automatically adjusting the scanning path and strategy, calculating the spatial coordinates of the end ranging module through an inverse kinematics algorithm, and performing fusion calibration with the output data of the rock mass state model; the calibrated spatial coordinate data is input into a deformation calculation model, and combined with the initial coordinate values in the reference scanning stage, a three-dimensional deformation vector map is generated.

[0011] As a preferred solution of a method for collecting mine safety monitoring information according to the present invention, wherein: performing logical verification includes constructing a physical constraint relationship library between sensor data, and in the verification stage, extracting the parameter values in the current measurement period and calculating whether the combined relationship conforms to the preset constraint conditions;

[0012] When a violation of the constraint condition is detected, an abnormal event mark is generated and the specific violated constraint item 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 at a high sampling frequency; the central processing module performs weighted fusion processing on the original data and the verification data.

[0013] As a preferred solution of a method for collecting mine safety monitoring information according to the present invention, wherein: dynamically fusing with a three-dimensional space model includes installing an annular gas nozzle array around the emission window of the laser ranging module to form an air curtain barrier to isolate the environment, monitoring particulate matter deposition, increasing the air curtain flow rate and physically cleaning the window when the deposition threshold is reached, detecting the transmittance after cleaning, triggering an alarm if the standard is not met, and synchronously storing the environmental isolation state data and the measurement data for error compensation.

[0014] As a preferred solution of a method for collecting mine safety monitoring information according to the present invention, wherein: generating a visual monitoring atlas includes deploying spatial reference markers in the target area, identifying the characteristic information of the markers through a scanning device, and mapping multi-source measurement data to the same spatial coordinate system;

[0015] A physically unclonable function (PUF) chip is embedded in the marker, and the PUF chip of each marker generates a unique characteristic response code during the initialization stage, and the hash value of the response code is pre-stored in the central database;

[0016] When obtaining the spatial distribution information of the markers 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 executed during the data registration stage.

[0017] As a preferred solution of a mine safety monitoring information acquisition system according to the present invention, it includes: a sensor module, a ranging module, a central processing module, a deformation calculation and spatial calibration module, and a visualization control module;

[0018] The sensor module integrates a vibration, gas, temperature and humidity sensor network to collect dynamic parameters of the mine roadway environment in real time;

[0019] The ranging module includes a laser ranging module and an end ranging module, dynamically adjusts the scanning path to match the rock mass deformation gradient, and performs fusion calibration with the reference scanning data;

[0020] The central processing module manages clock synchronization, associates and stores reflection signals and vibration data, triggers redundant sensor re - acquisition 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 split storage;

[0021] The deformation calculation and spatial calibration module fuses laser ranging data and end ranging coordinates to generate a three - dimensional deformation vector map;

[0022] The visualization control module dynamically fuses the verified data with the three - dimensional space model to generate a visualization monitoring atlas, realizes the mapping of multi - source data in a unified spatial coordinate system, and controls the disclosure level of atlas details.

[0023] A computer device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of a mine safety monitoring information acquisition method are implemented.

[0024] A computer - readable storage medium stores a computer program thereon, and when the computer program is executed by a processor, the steps of a mine safety monitoring information acquisition method are implemented.

[0025] The beneficial effects of the present invention: Through logical verification by a multi - source data cross - verification module, the accuracy of data is improved, and the security and reliability of the system are enhanced. When activating the high - precision deformation measurement device, it can make intelligent decisions based on real - time environmental parameters, thereby accurately evaluating the safety status of the mine. The present invention emphasizes the secure storage and transmission of data. Through key split 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 visualization monitoring atlas, the mapping of multi - source data in a unified spatial coordinate system is realized, facilitating intuitive analysis and decision - making support for relevant personnel. Description of the Drawings

[0026] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0027] Figure 1 It is a schematic flow chart of a method for collecting mine safety monitoring information provided by an embodiment of the present invention.

[0028] Figure 2 It is a schematic diagram of the working modules of a mine safety monitoring information collection system provided by an embodiment of the present invention. Detailed implementation manners

[0029] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following will provide a detailed description of the specific implementation manners of the present invention with reference to the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0030] Embodiment 1, referring to Figure 1 , which is the first embodiment of the present invention. This embodiment provides a method for collecting mine safety monitoring information, including:

[0031] S1: Cooperatively collect dynamic parameters in the mine roadway through environmental sensors, and attach a digital signature containing the unique identifier of the device to each data packet during the collection process.

[0032] Furthermore, the environmental sensors include vibration sensors, gas sensors, and temperature and humidity sensors;

[0033] S2: When it is detected that the parameter value of any sensor exceeds the preset threshold, activate the high-precision deformation measurement device to scan the target area, and embed a timestamp and the operator's identity credential in the trigger instruction.

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] Furthermore, the acoustic wave reflection signal is time-domain aligned with the acceleration spectrum collected by the vibration sensor to generate a feature parameter matrix. The feature matrix and the three-dimensional deformation vector obtained by laser scanning are jointly input into the finite element analysis framework, where: the acoustic wave parameters are mapped to the fracture density coefficient inside the rock mass, the vibration spectrum energy distribution is used to correct the rock mass elastic modulus parameter, and the three-dimensional deformation vector serves as the boundary constraint condition; a rock mass state model is generated.

[0039] Deploy a scanning device with dynamically adjustable measurement sites. Install a mobile scanning platform with a multi-degree-of-freedom robotic arm in the roadway, and a laser ranging module is mounted at the end of the robotic arm. In the initial measurement stage, a reference scanning path is generated from the point cloud data obtained by scanning, and the robotic arm is controlled to move along the path to collect basic deformation data. In the continuous monitoring stage, the gradient change characteristics of the historical deformation data are analyzed in real time. When the deformation rate in a local area is detected to exceed 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 residence measurement time at key positions, and adjusting the incident angle of the laser beam to avoid obstacles. During the execution of the path, the pose sensor of the robotic arm real-time feedbacks the joint angle data of each joint. The spatial coordinates of the end ranging module are calculated through the inverse kinematics algorithm and fused and calibrated 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 values in the reference scanning stage, a three-dimensional deformation vector map with millimeter-level accuracy is generated.

[0040] It should be noted that the deformation calculation model is based on the point cloud data in the initial scanning stage. The main axis direction of the roadway is determined through principal component analysis (PCA) to construct a local rectangular coordinate system. The difference between the real-time scanning coordinates and the initial coordinates is processed by the difference method, and the calculation formula is:

[0041] ;

[0042] where is the coordinate difference, is the coordinate of the i-th measurement point at time t, is the initial coordinate; the displacement vectors of each measurement point are interpolated according to the spatial position to generate a three-dimensional deformation vector map.

[0043] S5: The measurement results are logically verified through a multi-source data cross-validation module, and the validity of the data signature is also verified.

[0044] Furthermore, a physical constraint relationship library between sensor data is constructed, defining a positive correlation constraint between the vibration amplitude change rate and the tilt angle change rate, an inverse ratio constraint between the gas concentration gradient and the air flow rate, and a linear constraint between the temperature change rate and the rock thermal conductivity; during the verification stage, parameter values within the current measurement period are extracted from the multi-source dataset, and it is calculated whether their combined relationship conforms to the preset constraint conditions; when a constraint condition violation is detected, the following operations are performed: generating an abnormal event flag and recording the specific constraint item violated; sending a verification request instruction 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, and when the difference between the verification data and the original data exceeds the acceptable range, the original data is marked as invalid and the data source fault diagnosis process is triggered.

[0045] S6: Dynamically fuse the verified measurement data to generate a visual monitoring atlas, and control the detail disclosure level of the atlas based on attribute permissions.

[0046] It should be noted that the three-dimensional space model is a multi-layer structure model, including a geometry layer, an attribute layer, a dynamic layer, and a topology layer;

[0047] Among them, the geometry layer is generated from laser scanning point cloud data with an accuracy of ±1 mm; the attribute layer embeds monitoring parameters at each spatial position, including gas concentration, temperature gradient, and the output results of the rock mass state model; the dynamic layer is the deformation vector field data updated in real time; the topology layer records the spatial relationships of the roadway support structure, equipment positions, and reference markers.

[0048] Furthermore, an environmental isolation component is provided at the optical output end of the measuring device, and an annular gas nozzle array is installed around the emission window of the laser ranging module. The nozzle array is connected to a high-pressure gas source through a flexible pipeline; during the measurement startup stage, the solenoid valve is controlled to open, so that high-pressure gas forms a conical air curtain barrier around the laser beam; during the measurement process, the particulate deposition state outside the air curtain is monitored in real time through a dust concentration sensor. When the detected deposition thickness reaches the deposition threshold, the air curtain flow rate is controlled to increase to the cleaning mode, and at the same time, the rotating scraping mechanism is started to physically clean the surface of the emission window; after the cleaning operation is completed, the window cleanliness is evaluated through an optical transmittance detection module. If the standard is not reached, a maintenance warning signal is triggered; all environmental isolation status data is stored synchronously with the measurement data for error compensation calculation during subsequent data analysis.

[0049] 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.

[0050] 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.

[0051] Embodiment 2, the second embodiment of the present invention, is different from the previous embodiment in that:

[0052] If the above-mentioned functions are implemented in the form of software function 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, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs.

[0053] The logic and / or steps represented in the flowchart or described in other ways herein, for example, can be considered as a definite sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or used in combination with these instruction execution systems, apparatuses, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

[0054] More specific examples (non-exhaustive list) of computer-readable media include the following: electrical connection parts with one or more wirings (electronic devices), portable computer disk cartridges (magnetic devices), random access memories (RAMs), read-only memories (ROMs), erasable programmable read-only memories (EPROMs or flash memories), optical fiber devices, and portable compact disc read-only memories (CDROMs). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or, if necessary, other appropriate processing, and then stored in a computer memory.

[0055] It should be understood that various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above 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, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits with logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits with appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0056] Embodiment 3, referring to Figure 2 , which is an embodiment of the present invention, provides a mine safety monitoring information acquisition system, including a sensor module, a ranging module, a central processing module, a deformation calculation and spatial calibration module, and a visualization control module;

[0057] The sensor module integrates a vibration, gas, temperature and humidity sensor network to collect dynamic parameters of the mine roadway environment in real time;

[0058] The ranging module includes a laser ranging module and an end ranging module, dynamically adjusts the scanning path to match the rock mass deformation gradient, and performs fusion calibration with the reference scanning data;

[0059] The central processing module manages clock synchronization, associates and stores reflected signals and vibration data, and triggers redundant sensor re-sampling 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 split storage;

[0060] The deformation calculation and spatial calibration module fuses the laser ranging data and the end ranging coordinates to generate a three-dimensional deformation vector map;

[0061] The visualization control module dynamically fuses the verified data with the three-dimensional space model to generate a visualization monitoring map, realizes the mapping of multi-source data in a unified spatial coordinate system, and controls the detail disclosure level of the map.

[0062] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not restrictive. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. A method for collecting mine safety monitoring information, characterized in that: including cooperatively collecting dynamic parameters in a mine roadway through environmental sensors, and attaching a digital signature containing the unique identifier of the device to each data packet during the collection process; when it is detected that the parameter value of any sensor exceeds the preset threshold, activating a high-precision deformation measurement device to scan the target area, and embedding a timestamp and the operator's identity credential in the trigger instruction; transmitting a detection signal to the rock formation and synchronously collecting the reflected signal and vibration data, and performing frame-by-frame encryption processing on the original waveform data; generating a rock mass state model based on signal correlation, calculating spatial deformation information in combination with the scanned data, and storing the model parameters by key splitting; performing logical verification on the measurement results through multi-source data cross-verification, and simultaneously verifying the validity of the data signature; the performing logical verification includes constructing a physical constraint relationship library among sensor data, and during the verification stage, extracting the parameter values in the current measurement period and calculating whether the combined relationship conforms to the preset constraint conditions; when it is detected that a constraint condition is violated, generating an abnormal event mark and recording the specific violated constraint item; sending a verification request instruction to the 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; dynamically fusing the verified measurement data with a three-dimensional space model to generate a visual monitoring atlas, and controlling the detail disclosure level of the atlas based on attribute permissions; the generating a visual monitoring atlas includes arranging spatial reference markers in the target area, identifying the characteristic information of the markers through a scanning device, and uniformly mapping multi-source measurement data to the same spatial coordinate system; embedding a physically unclonable function (PUF) chip in the marker, generating a unique characteristic response code by the PUF chip of each marker during the initialization stage, and pre-storing the hash value of the response code in the central database; when obtaining the spatial distribution information of the markers through a mobile scanning platform, establishing an end-to-end encrypted transmission channel, generating a temporary session key to encrypt the imaging data, and performing a dual verification mechanism during the data registration stage.

2. The method for collecting mine safety monitoring information according to claim 1, wherein: the environmental sensors include vibration sensors, gas sensors, and temperature and humidity sensors; the activating a high-precision deformation measurement device includes connecting a gas sensor and a laser scanning device through a hardware-level trigger link for real-time monitoring and measurement; when the gas concentration exceeds the standard, the gas sensor triggers the laser scanning, and the scanning head dynamically adjusts the angle according to the roof contour to match the abnormal gas area. When the gas sensor monitors that the gas concentration drops, the laser scanning device enters the low-power mode.

3. A method for collecting mine safety monitoring information according to claim 2, characterized in that: the synchronously collecting the reflected signal and vibration data includes start instruction, mode switching, and clock synchronization. The acoustic wave emission component generates a detection signal in a specific frequency band. The vibration sensor switches to the high-frequency sampling mode after the signal is emitted and synchronously captures data with the acoustic wave receiving component. The central processing module aligns with the time stamp and stores the reflected signal and vibration data in association. When it is detected that there is data missing in the vibration sensor during the synchronization period, the redundant sensor is triggered to supplement and reconstruct the data set.

4. The method for collecting mine safety monitoring information according to claim 3, characterized in that: The calculation of spatial deformation information from the scanned data includes installing a mobile scanning platform with a multi-degree-of-freedom robotic arm in the roadway, generating a reference scanning path through the rock mass state model and collecting data, monitoring the deformation gradient, automatically adjusting the scanning path and strategy, calculating the spatial coordinates of the end ranging module through the inverse kinematics algorithm, and performing fusion calibration 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, a three-dimensional deformation vector map is generated.

5. The method for collecting mine safety monitoring information according to claim 4, characterized in that: The dynamic fusion with the three-dimensional space model includes installing an annular gas nozzle array around the emission window of the laser ranging module to form an air curtain barrier for environmental isolation, monitoring particulate deposition, increasing the air curtain flow rate and physically cleaning the window when the deposition threshold is reached, detecting the transmittance after cleaning, triggering an alarm if not up to standard, and synchronously storing the environmental isolation state data and the measurement data for error compensation.

6. A system adopting a mine safety monitoring information acquisition method as described in any one of claims 1 to 5, characterized in that: It includes a sensor module, a ranging module, a central processing module, a deformation calculation and spatial calibration module, and a visualization control module; The sensor module integrates a vibration, gas, temperature and humidity sensor network to collect dynamic parameters of the mine roadway environment in real time; The ranging module includes a laser ranging module and an end ranging module, dynamically adjusts the scanning path to match the rock mass deformation gradient, and performs fusion calibration with the reference scanning data; The central processing module manages clock synchronization, associatively stores the reflected signal and the vibration data, and triggers redundant sensor data collection when data is missing; Verify the consistency of multi-source data based on the physical constraint relationship library, verify the validity of the digital signature, and implement key split storage; The deformation calculation and spatial calibration module fuses the laser ranging data and the end ranging coordinates to generate a three-dimensional deformation vector map; The visualization control module dynamically fuses the verified data with the three-dimensional space model to generate a visualization monitoring map, realizes the mapping of multi-source data in a unified spatial coordinate system, and controls the detail disclosure level of the map.

7. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method according to any one of claims 1 to 5.

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