Intelligent monitoring and management system for underground coal mine ventilation based on sensor technology

Abstract

The invention relates to the technical field of coal mine underground ventilation intelligent monitoring, and particularly discloses a coal mine underground ventilation intelligent monitoring management system based on a sensor technology, which comprises an underground data acquisition module, a ventilation state evaluation module, an air door opening degree adjustment module, a ventilation effect judgment module and a database, the gas concentration, temperature, dust concentration and ventilation equipment data are collected in real time, the ventilation state health index of each roadway partition is generated based on multi-dimensional coupling calculation, the target partition is recognized in combination with the preset threshold value, and the air door opening degrees of the target partition and the upstream and downstream partitions are adjusted in a linkage mode. The ventilation effect is judged and the standby ventilation equipment is adjusted by analyzing the ventilation state evaluation score improvement value after air door adjustment, so that the problems that multi-parameter monitoring of a traditional ventilation system is lagged and linkage adjustment is insufficient are solved, the safety, stability and energy utilization efficiency of the ventilation system are effectively improved, and the ventilation effect is improved. The system is suitable for intelligent management of a complex ventilation environment in an underground coal mine.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent monitoring of mine underground ventilation. Specifically, it relates to an intelligent monitoring and management system for mine underground ventilation based on sensor technology. Background Technique

[0002] The safety and stability of the mine underground ventilation system are the core elements to ensure safe production. Traditional ventilation management relies on manual experience for air door adjustment and air volume distribution, with problems such as lag in monitoring key parameters such as gas concentration, temperature, and dust concentration, lack of multi-dimensional risk assessment, and low efficiency of ventilation equipment linkage adjustment. Therefore, in order to avoid the occurrence of these problems, there is an urgent need for a ventilation management system with the capabilities of multi-parameter real-time perception, intelligent assessment, and collaborative control.

[0003] For example, the patent with the Chinese patent publication number CN118997823A discloses a mine underground ventilation air-increasing device. In the present invention, the opposite movement of two lifting plates drives the rotation and adjustment of two first movable plates together. In this way, the two first movable plates can adjust the size of the air outlet, so that the wind force can be increased, enabling the ventilation air-increasing device to adaptively adjust the wind force according to requirements and improve the ventilation effect in the mine underground. Through the second movable plate and the third movable plate, they can be in an inclined state together to optimize the air flow direction, thus achieving the best ventilation effect and allowing air to quickly enter the mine underground.

[0004] For example, the patent with the Chinese patent publication number CN118745944A discloses an intelligent monitoring and control system for mine underground ventilation, including: the ventilation fan remote start-stop module establishes the equipment performance coefficient Epc by using the performance coefficient Pco and the equipment coefficient Esc. The underground air window air volume control module establishes the air quality coefficient Aqc by using the air flow coefficient Aco and the gas concentration coefficient Gcc. The shaft air volume control module establishes the safety coefficient Sfa through Epc and Aqc, and issues a warning instruction and adjusts the air volume in real time according to its threshold value. The air volume monitoring module at the air measurement station encrypts the sensor data by using the homomorphic encryption algorithm and issues an outlier warning instruction. The system warning module obtains r through the weighted average method according to each threshold range to select a warning strategy, effectively improving the safety and reliability of the intelligent monitoring and control of mine underground ventilation.

[0005] The following problems also exist in the above prior art: 1. Only the mechanical structure (lifting plate, movable plate) is used to adjust the air outlet size and air flow direction, and the safety status of the ventilation system is not quantitatively evaluated. It is difficult to identify potential hidden safety hazards in advance, and the adjustment method is limited to the mechanical linkage of a single device. The overall pressure balance model of the roadway partition ventilation network is not constructed, and the air pressure and air volume distribution of the upstream and downstream partitions cannot be synchronously sensed and adjusted, which may lead to air volume imbalance in local areas and lack of collaborative control ability for the global stability of the ventilation system.

[0006] 2. Key indicators such as dust concentration and temperature change rate are not clearly incorporated, especially the systematic evaluation of the long-term occupational health risks caused by dust overrun and the equipment operation hazards caused by abnormal temperature is lacking. The risk identification dimension is relatively single, and it is difficult to comprehensively reflect the comprehensive safety status in a complex ventilation environment. Summary of the Invention

[0007] In view of this, to solve the problems raised in the above background technology, a coal mine underground ventilation intelligent monitoring and management system based on sensor technology is proposed.

[0008] The object of the present invention can be achieved by the following technical solutions: The present invention provides a coal mine underground ventilation intelligent monitoring and management system based on sensor technology, including: an underground data acquisition module, which collects the gas concentration data, temperature, dust concentration and ventilation equipment data of each partition in each underground roadway in real time through a sensor group deployed in key areas of the coal mine underground.

[0009] A ventilation state evaluation module, which generates a ventilation state evaluation score for each partition in each underground roadway based on the gas concentration data, temperature and dust concentration.

[0010] A damper opening adjustment module, which records the partition with a ventilation state evaluation score less than the set threshold as the target partition, collects the air pressure of the target partition and its corresponding upstream and downstream partitions, and adjusts the damper opening of the partition based on the ventilation equipment data.

[0011] A ventilation effect determination module, which determines the ventilation effect of each target partition in each underground roadway based on the ventilation effect determination rule. If the determination result is abnormal, the rotation speed of the standby ventilation equipment is started and adjusted.

[0012] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention constructs a ventilation state health index through the coupled calculation of the gas concentration change rate, the proportion of partitions exceeding the temperature threshold and the proportion of partitions exceeding the dust concentration threshold, realizes the three-dimensional evaluation of the safety risk urgency, environmental stability and occupational health hazards of the ventilation system, and accurately locates high-risk areas.

[0013] (2) When the opening of the target partition air door is adjusted, the present invention calculates the air door adjustment amounts of the upstream and downstream partitions in real time based on the air pressure deviation, maintains the overall pressure balance of the ventilation network, avoids problems such as local windlessness and air flow reversal caused by sudden changes in air volume, and improves the system stability.

[0014] (3) The present invention verifies the adjustment effect in real time through the ventilation effect determination module, automatically starts the standby ventilation equipment and adjusts the rotation speed, forms a closed-loop management of "monitoring - evaluation - adjustment - verification", improves the processing efficiency of abnormal working conditions, and reduces the cost of manual intervention. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order 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 also be obtained based on these drawings.

[0016] Figure 1 It is a schematic connection diagram of the system module structure of the present invention.

[0017] Figure 2 It is a schematic diagram of the upstream partition and the downstream partition of the target partition of the present invention.

[0018] Figure 3 It is a schematic hardware structure diagram of a computer provided by the second embodiment of the present invention.

[0019] BRIEF DESCRIPTION OF THE DRAWINGS: 1. Underground roadway, 2. Target partition, 3. Upstream partition, 4. Downstream partition. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0021] Embodiment 1

[0022] Please refer to Figure 1 As shown, the present invention provides an intelligent monitoring and management system for underground coal mine ventilation based on sensor technology, including: an underground data acquisition module, a ventilation state evaluation module, an air door opening adjustment module, and a ventilation effect determination module.

[0023] It should be noted that the present invention also includes a database for storing the temperature threshold and dust concentration threshold corresponding to the safe state in the coal mine underground, the set of ventilation state health indices corresponding to each ventilation state evaluation score, the required reduced damper opening and the required increased damper opening corresponding to the unit air pressure deviation, the increased damper opening and ventilation equipment speed corresponding to the unit ventilation state evaluation score difference, the compensation damper opening corresponding to each fan wind speed fluctuation index, and the standard ventilation state evaluation score.

[0024] The underground data acquisition module is connected to the ventilation state evaluation module, the ventilation state evaluation module is connected to the damper opening adjustment module, both the underground data acquisition module and the ventilation state evaluation module are connected to the ventilation effect determination module, and all of the ventilation state evaluation module, the damper opening adjustment module, and the ventilation effect determination module are connected to the database.

[0025] The underground data acquisition module, through a sensor group deployed in key areas of the coal mine underground, real-time collects the gas concentration data, temperature, dust concentration, and ventilation equipment data of each partition in each underground roadway.

[0026] It should be noted that the specific deployment method of the sensor group deployed in key areas of the coal mine underground is as follows: a gas concentration sensor array is installed in the roadway partition for collecting gas concentration, temperature sensors are installed on the roadway roof and the working face for monitoring ambient temperature changes, and dust sensors are set in the excavation area and the transportation passage for monitoring the dynamic dust concentration.

[0027] It should also be noted that the ventilation equipment data is directly extracted from the ventilation equipment operation background.

[0028] The ventilation state evaluation module generates the ventilation state evaluation scores of each partition in each underground roadway based on the gas concentration data, temperature, and dust concentration.

[0029] In a specific embodiment of the present invention, the specific implementation process of generating the ventilation state evaluation scores of each partition in each underground roadway is as follows: multi-dimensional evaluation is performed based on the gas concentration data, temperature, and dust concentration to obtain the ventilation state health indices of each partition in each underground roadway.

[0030] In a specific embodiment of the present invention, the specific implementation process of performing multi-dimensional evaluation to obtain the ventilation state health indices of each partition in each underground roadway is as follows: the change rate analysis is performed on the gas concentration corresponding to each monitoring time point in the gas concentration data to obtain the gas concentration change rate of each partition in each underground roadway.

[0031] In a specific embodiment of the present invention, the specific method of obtaining the gas concentration change rate of each partition in each underground roadway is as follows: obtaining the gas concentration deviation corresponding to adjacent monitoring time points of each partition in each underground roadway.

[0032] Sum the gas concentration deviations corresponding to all adjacent monitoring time points, and then divide by the number of monitoring time point intervals to obtain the gas concentration change rate for each sub-area in each underground roadway.

[0033] Extract the corresponding temperature threshold and dust concentration threshold under safe conditions in the coal mine underground from the database.

[0034] It should be noted that referring to the "Coal Mine Safety Regulations" and the underground working environment guidelines of the International Labour Organization, the temperature threshold is set at 30 °C. According to the "Coal Mine Safety Regulations" and the "Occupational Exposure Limits for Hazardous Agents in the Workplace", the dust concentration threshold is set at 40 g / m 3 .

[0035] Compare the temperature and dust concentration of each sub-area in each underground roadway with the temperature threshold and dust concentration threshold respectively. Mark the sub-areas exceeding the temperature threshold as temperature abnormal sub-areas, and mark the sub-areas exceeding the dust concentration threshold as dust concentration abnormal sub-areas.

[0036] Record the ratios of the temperature abnormal sub-areas and the dust concentration abnormal sub-areas to the total number of sub-areas stored in the database for the coal mine underground as the proportion of sub-areas exceeding the temperature threshold and the proportion of sub-areas exceeding the dust concentration threshold respectively.

[0037] Perform coupled calculations based on the gas concentration change rate, the proportion of sub-areas exceeding the temperature threshold, and the proportion of sub-areas exceeding the dust concentration threshold to obtain the ventilation status health index for each sub-area in each underground roadway.

[0038] It should be noted that the specific method for obtaining the ventilation status health index for each sub-area in each underground roadway is as follows: Take the ratios of the gas concentration change rate, the proportion of sub-areas exceeding the temperature threshold, and the proportion of sub-areas exceeding the dust concentration threshold to their respective set reference values, perform weighted calculations on the three ratios and sum them to obtain the ventilation status health index for each sub-area in each underground roadway.

[0039] It should be noted that the set reference values corresponding to the gas concentration change rate, the proportion of sub-areas exceeding the temperature threshold, and the proportion of sub-areas exceeding the dust concentration threshold are benchmark values determined comprehensively based on coal mine safety regulations and industry safety standards, and are used to quantitatively evaluate the deviation degree of ventilation parameters. The reference value of the gas concentration change rate usually takes the maximum allowable fluctuation range of 0.05% / minute in the safety regulations. The reference value of the proportion of sub-areas exceeding the temperature threshold is set according to the mine design specifications, and the upper limit of the allowable number of temperature-exceeding areas is 5% of the total number of sub-areas. The reference value of the proportion of sub-areas exceeding the dust concentration threshold refers to the occupational health standard and sets the threshold of the proportion of dust-exceeding sub-areas at 3% of the total number of sub-areas.

[0040] In a specific embodiment of the present invention, when calculating the ventilation state health index of each sub - area in each underground roadway, the importance of the gas concentration change rate, the proportion of sub - areas exceeding the temperature threshold, and the proportion of sub - areas exceeding the dust concentration threshold needs to be determined in combination with the core requirements of coal mine safety. Among them, the weight of the gas concentration change rate usually occupies a more important position because it is directly related to major safety risks such as gas accumulation and explosion, and is the core monitoring index of the safety of the ventilation system. The proportion of sub - areas exceeding the dust concentration threshold ranks second. Exceeding the dust limit not only endangers the health of workers but also may trigger coal dust explosions, which is a long - term safety hazard that needs to be key - controlled. The importance of the proportion of sub - areas exceeding the temperature threshold is relatively low. Although abnormal temperature may affect equipment operation and personnel comfort, its risk urgency is lower than that of gas and dust problems. Therefore, when calculating the ventilation state health index of each sub - area in each underground roadway, the proportion weights of the gas concentration change rate, the proportion of sub - areas exceeding the temperature threshold, and the proportion of sub - areas exceeding the dust concentration threshold are 0.5, 0.2, and 0.3 respectively.

[0041] It should also be noted that the advantage of calculating the ventilation state health index through the combination of the gas concentration change rate, the proportion of sub - areas exceeding the temperature threshold, and the proportion of sub - areas exceeding the dust concentration threshold is as follows: it can construct a three - dimensional evaluation system from multiple dimensions. The combination of the three can comprehensively capture the comprehensive performance of the ventilation system in terms of the urgency of safety risks, the equipment operation environment, and the impact on personnel health, providing a scientific and quantitative basis for accurately locating high - risk areas and dynamically optimizing ventilation strategies, and effectively improving the safety and management efficiency of the ventilation system.

[0042] Compare the ventilation state health index of each sub - area in each underground roadway with the set of ventilation state health indices corresponding to the ventilation state evaluation scores stored in the database. If the ventilation state health index of a certain sub - area is within the set of ventilation state health indices corresponding to a certain ventilation state evaluation score, then take this ventilation state evaluation score as the ventilation state evaluation score of this sub - area, and thus obtain the ventilation state evaluation scores of each sub - area in each underground roadway.

[0043] In the embodiment of the present invention, through the coupled calculation of the gas concentration change rate, the proportion of sub - areas exceeding the temperature threshold, and the proportion of sub - areas exceeding the dust concentration threshold, a ventilation state health index is constructed to realize a three - dimensional evaluation of the urgency of safety risks, environmental stability, and occupational health hazards of the ventilation system, and accurately locate high - risk areas.

[0044] The air door opening adjustment module marks the sub - areas with ventilation state evaluation scores less than the set threshold as target sub - areas, collects the air pressures of the target sub - areas and their corresponding upstream and downstream sub - areas, and adjusts the air door opening of the sub - areas based on the ventilation equipment data.

[0045] It should be noted that the air pressures of the target partition and its corresponding upstream and downstream partitions are collected by air pressure sensors installed in the target partition and its corresponding upstream and downstream partitions respectively.

[0046] In a specific embodiment of the present invention, the specific implementation process of adjusting the damper opening of the partition based on the ventilation equipment data is as follows: the damper adjustment opening of each target partition is obtained through integrated analysis of the current damper opening of each target partition in the ventilation equipment data and the actual wind speed and set wind speed corresponding to the fan at each monitoring time point.

[0047] In a specific embodiment of the present invention, the specific implementation process of the damper adjustment opening of each target partition is as follows: the difference is taken between the preset ventilation state evaluation score and the ventilation state evaluation score of each target partition to obtain the difference in the ventilation state evaluation score of each target partition, and it is multiplied by the corresponding increase in the damper opening per unit ventilation state evaluation score difference stored in the database to obtain the corresponding increase in the damper opening of each target partition.

[0048] It should be noted that the preset ventilation state evaluation score is an ideal score set through comprehensive analysis of industry standards, expert experience, and a dynamic adjustment mechanism, and is used to compare with the actual evaluation score to determine the damper opening that needs to be adjusted, so as to optimize the safety and efficiency of the underground ventilation system. The relationship between the corresponding increase in the damper opening per unit ventilation state evaluation score difference is as follows: the corresponding relationship between the ventilation state evaluation score difference per unit and the damper opening adjustment amount is determined through historical regulation data and experimental calibration. Based on the historical operation data of the mine, the damper opening adjustment effects corresponding to different score differences are statistically analyzed, and the "unit difference - opening increment" ratio is fitted. By simulating the underground environment, controlling the change of the damper opening and recording the improvement degree of ventilation parameters, the accuracy of the theoretical model is verified.

[0049] The corresponding increase in the damper opening of each target partition is added to the current damper opening to obtain the theoretical damper opening of each target partition.

[0050] Fluctuation analysis is performed on the actual wind speed corresponding to the fan of each target partition at each monitoring time point to obtain the fan wind speed fluctuation index of each target partition, and it is compared with the corresponding compensated damper opening of the fan wind speed fluctuation index stored in the database to obtain the corresponding compensated damper opening of each target partition.

[0051] It should be noted that the relationship between the corresponding compensated damper opening of each fan wind speed fluctuation index is as follows: the corresponding relationship between the fan wind speed fluctuation index and the compensated damper opening is established through historical data analysis and experimental verification. Based on historical operation data, the damper opening adjustment effects corresponding to different wind speed fluctuation indexes are statistically analyzed, and the proportional relationship between the fluctuation index and the compensated opening is fitted. Combining real-time regulation feedback, the wind speed stability after adjustment is verified, and the compensation strategy is optimized.

[0052] In a specific embodiment of the present invention, the specific implementation process of obtaining the fan wind speed fluctuation index of each target partition is as follows: Obtain the deviation between the actual wind speed and the set wind speed of the fans in each target partition at each monitoring time point, extract the maximum deviation and the minimum deviation therefrom, and at the same time extract the monitoring time points corresponding to the maximum deviation and the minimum deviation respectively, so as to obtain the interval duration between the maximum deviation and the minimum deviation.

[0053] Divide the difference between the maximum deviation and the minimum deviation by the interval duration to obtain the wind speed fluctuation rate of the fans in each target partition, and perform coupling analysis in combination with the set permitted wind speed fluctuation rate to obtain the fan wind speed fluctuation index of each target partition.

[0054] It should be noted that the specific method for analyzing and obtaining the fan wind speed fluctuation index of each target partition is as follows: Obtain the difference between the wind speed fluctuation rate of the fans in each target partition and the set permitted wind speed fluctuation rate, and divide the difference by the set permitted wind speed fluctuation rate to obtain the fan wind speed fluctuation index of each target partition.

[0055] Accumulate the theoretical opening degree of the air damper in each target partition and the corresponding compensation air damper opening degree to obtain the adjusted air damper opening degree of each target partition.

[0056] Please refer to Figure 2 As shown, according to the current air damper opening degrees of the upstream partition and the downstream partition corresponding to each target partition in the ventilation equipment data, and based on the air pressures of the target partition and its corresponding upstream partition and downstream partition, adjust the air damper opening degrees of the upstream partition and the downstream partition of the target partition.

[0057] In a specific embodiment of the present invention, the specific method for adjusting the air damper opening degrees of the upstream partition and the downstream partition of the target partition is as follows: Obtain the air pressure deviation between the target partition and its upstream partition, and multiply it by the air damper opening degree required to be reduced corresponding to the unit air pressure deviation stored in the database to obtain the air damper opening degree required to be reduced corresponding to the upstream partition of the target partition, and reduce the corresponding required air damper opening degree on the basis of the current air damper opening degree of the upstream partition of the target partition to obtain the final air damper opening degree of the upstream partition.

[0058] Obtain the air pressure deviation between the target partition and its downstream partition, and multiply it by the air damper opening degree required to be increased corresponding to the unit air pressure deviation stored in the database to obtain the air damper opening degree required to be increased corresponding to the downstream partition of the target partition, and increase the corresponding required air damper opening degree on the basis of the current air damper opening degree of the downstream partition of the target partition to obtain the final air damper opening degree of the downstream partition.

[0059] It should be noted that the unit air pressure deviation corresponds to the required reduction and increase of the damper opening as follows: 1) Historical data analysis: Statistical analysis of the air pressure change effect after adjusting the damper opening under different air pressure deviations, and fit the opening adjustment ratio corresponding to the unit deviation; 2) Experimental verification: Artificially create an air pressure difference in a simulated tunnel, measure the correction effect of different opening adjustments on the air pressure balance, and calibrate the theoretical model parameters; 3) Dynamic optimization: Combine real-time control feedback to dynamically optimize the corresponding relationship.

[0060] It should be noted that the area close to the main fan or the air flow source is recorded as the upstream partition, and the area close to the mine exit or the air flow discharge side is recorded as the downstream partition.

[0061] It should also be noted that when the damper opening of the target partition increases, the damper opening of its upstream and downstream partitions is adjusted synchronously because the ventilation system has a strong correlation in air volume distribution and wind pressure balance among various areas: the increase in the damper opening of the target partition may lead to the diversion of air volume and the reduction of wind pressure in the upstream partition, resulting in insufficient air volume or even no wind risk in the upstream area, and may also cause wind flow turbulence and pressure mutation in the downstream partition, abnormal air volume or reverse air flow. By adjusting the upstream and downstream damper openings in a linked manner, the overall pressure balance of the ventilation network can be effectively maintained, and safety hazards such as gas accumulation and excessive dust concentration caused by sudden changes in air volume in local areas can be avoided, ensuring the stability of the entire ventilation system and the rationality of air volume distribution in each partition, forming a safety guarantee mechanism for coordinated regulation.

[0062] The embodiment of the present invention calculates the damper adjustment amount of the upstream and downstream zones in real time based on the air pressure deviation when the damper opening of the target zone is adjusted, thereby maintaining the overall pressure balance of the ventilation network, avoiding problems such as local windlessness and wind flow reversal caused by sudden changes in air volume, and improving system stability.

[0063] The ventilation effect determination module determines the ventilation effect of each target partition in each underground tunnel based on the ventilation effect determination rule, and if the determination result is abnormal, starts and adjusts the rotation speed of the standby ventilation equipment.

[0064] In a specific embodiment of the present invention, the specific process of judging the ventilation effect of each target zone in each underground tunnel based on the ventilation effect judgment rules is as follows: based on the gas concentration data, temperature and dust concentration after the damper opening is adjusted, the ventilation status evaluation score of each target zone in each underground tunnel is obtained in the same way as the analysis method of the ventilation status evaluation score of each target zone in the underground tunnel after the damper opening is adjusted.

[0065] The ventilation status assessment score improvement value of each target partition after the damper opening adjustment is completed is obtained, and the ventilation status assessment score improvement value is compared with the ventilation status assessment score to obtain the excess ventilation status assessment score ratio.

[0066] It should be noted that the difference between the ventilation state evaluation score of each target partition after the damper opening adjustment is completed and the ventilation state evaluation score before the damper opening adjustment is recorded as the ventilation state evaluation score improvement value.

[0067] When the proportion of the super ventilation state evaluation score of a certain target partition is greater than the set reference proportion of the super ventilation state evaluation score, the ventilation effect of the target partition is determined to be normal; otherwise, the ventilation effect of the target partition is determined to be abnormal.

[0068] In a specific embodiment of the present invention, the specific method for adjusting the speed of the standby ventilation equipment is as follows: The target partitions with abnormal ventilation effects are recorded as abnormal partitions. The difference between the ventilation state evaluation score of each abnormal partition after the damper opening adjustment is completed and the standard ventilation state evaluation score stored in the database is obtained, and the difference is multiplied by the ventilation equipment speed corresponding to the unit ventilation state evaluation score deviation stored in the database to obtain the speed of the standby ventilation equipment for each abnormal partition.

[0069] It should be noted that the ventilation equipment speed corresponding to the unit ventilation state evaluation score deviation is: the corresponding relationship between the unit ventilation state evaluation score deviation and the ventilation equipment speed is determined by comprehensively considering historical regulation data, experimental calibration, and dynamic feedback mechanisms, and specifically includes the following steps: 1) Historical data analysis: Statistically analyze the ventilation improvement effects after adjusting the fan speed under different evaluation score deviations, and fit the "unit score deviation - speed increment" ratio. 2) Experimental verification: In a simulated or actual underground environment, verify the accuracy of the theoretical model by controlling the speed change and recording the response of ventilation parameters. 3) Dynamic calibration: Optimize the proportional coefficient according to the real-time regulation effect to adapt to equipment aging or roadway resistance changes.

[0070] In an embodiment of the present invention, the ventilation effect determination module is used to verify the adjustment effect in real time, automatically start the standby ventilation equipment and adjust its speed, forming a closed-loop management of "monitoring - evaluation - adjustment - verification", improving the efficiency of abnormal working condition handling and reducing the cost of manual intervention.

[0071] Embodiment 2

[0072] As Figure 3 shown, an embodiment of the present invention provides the following technical solution: A computer includes a memory 202, a processor 201, and a computer program stored on the memory 202 and executable on the processor 201. When the processor 201 executes the computer program, it implements the intelligent monitoring and management system for underground coal mine ventilation based on sensor technology as described above.

[0073] Specifically, the above-mentioned processor 201 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured as one or more integrated circuits for implementing the embodiments of the present application.

[0074] Among them, the memory 202 may include a mass storage for data or instructions. By way of example and not limitation, the memory 202 may include a hard disk drive (HDD), a floppy disk drive, a solid state drive (SSD), a flash memory, an optical disc, a magneto-optical disc, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. In suitable cases, the memory 202 may include removable or non-removable (or fixed) media. In suitable cases, the memory 202 may be internal or external to the data processing device. In a particular embodiment, the memory 202 is a non-volatile memory. In a particular embodiment, the memory 202 includes a read-only memory (ROM) and a random access memory (RAM). In suitable cases, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), an electrically alterable ROM (EAROM), or a flash memory, or a combination of two or more of these. In suitable cases, the RAM may be a static random access memory (SRAM) or a dynamic random access memory (DRAM), where the DRAM may be a fast page mode dynamic random access memory (FPMDRAM), an extended data out dynamic random access memory (EDODRAM), a synchronous dynamic random access memory (SDRAM), etc.

[0075] The memory 202 can be used to store or cache various data files required for processing and / or communication, as well as possible computer program instructions executed by the processor 201.

[0076] By reading and executing the computer program instructions stored in the memory 202, the processor 201 implements the above-mentioned intelligent monitoring and management system for underground ventilation in coal mines based on sensor technology.

[0077] In some of the embodiments, the computer may further include a communication interface 203 and a bus 200. Among them, as Figure 3 shown, the processor 201, the memory 202, and the communication interface 203 are connected through the bus 200 to complete communication with each other.

[0078] The communication interface 203 is used to implement communication between the various modules, devices, units, and / or equipment in the embodiments of the present application. The communication interface 203 can also implement data communication with other components such as external devices, image / data acquisition devices, databases, external storage, and image / data processing workstations.

[0079] Bus 200 includes hardware, software, or both, and couples components of a computer together. Bus 200 includes, but is not limited to, at least one of the following: Data Bus, Address Bus, Control Bus, Expansion Bus, Local Bus. By way of example and not limitation, Bus 200 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable bus or a combination of two or more of these. In appropriate cases, Bus 200 may include one or more buses. Although embodiments of the present application describe and illustrate specific buses, the present application contemplates any suitable bus or interconnect.

[0080] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of the present technology can make various modifications or supplements to the described specific embodiments or use similar methods for substitution, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should fall within the protection scope of the present invention.

Claims

1. Intelligent monitoring and management system for underground ventilation in coal mines based on sensor technology, characterized in that: include: The underground data acquisition module collects gas concentration data, temperature, dust concentration and ventilation equipment data of each zone in each underground tunnel in real time through a sensor group deployed in key areas of the coal mine; The ventilation status assessment module generates ventilation status assessment scores for each zone in each underground tunnel based on gas concentration data, temperature and dust concentration; The damper opening adjustment module records the partition whose ventilation status evaluation score is less than the set threshold as the target partition, collects the air pressure of the target partition and its corresponding upstream partition and downstream partition, and adjusts the damper opening of the partition based on the ventilation equipment data; The ventilation effect determination module determines the ventilation effect of each target partition in each underground tunnel based on the ventilation effect determination rules. If the determination result is abnormal, the rotation speed of the standby ventilation equipment is started and adjusted.

2. The intelligent monitoring and management system for underground ventilation in coal mines based on sensor technology according to claim 1 is characterized by: The specific implementation process of generating the ventilation status evaluation score of each partition in each underground tunnel is as follows: A multi-dimensional assessment is conducted based on gas concentration data, temperature and dust concentration to obtain the ventilation health index of each zone in each underground tunnel; The ventilation status health index of each partition in each underground tunnel is compared with the ventilation status health index set corresponding to each ventilation status assessment score stored in the database. If the ventilation status health index of a partition is within the ventilation status health index set corresponding to a ventilation status assessment score, then the ventilation status assessment score is used as the ventilation status assessment score of the partition, thereby obtaining the ventilation status assessment score of each partition in each underground tunnel.

3. The intelligent monitoring and management system for underground ventilation in coal mines based on sensor technology according to claim 2 is characterized by: The specific implementation process of the ventilation status health index of each partition in each underground tunnel is as follows: According to the gas concentration corresponding to each monitoring time point in the gas concentration data, the change rate of the gas concentration in each partition in each underground tunnel is analyzed; Extract the temperature threshold and dust concentration threshold corresponding to the safety state of the coal mine from the database; The temperature and dust concentration of each partition in each underground tunnel are compared with the temperature threshold and the dust concentration threshold respectively, and the partition exceeding the temperature threshold is recorded as the temperature abnormality partition, and the partition exceeding the dust concentration threshold is recorded as the dust concentration abnormality partition; The ratio of the abnormal temperature partition and the abnormal dust concentration partition to the total number of underground coal mine partitions stored in the database is recorded as the ratio of the partition exceeding the temperature threshold and the ratio of the partition exceeding the dust concentration threshold; The ventilation health index of each zone in each underground tunnel is obtained by coupling calculation based on the gas concentration change rate, the proportion of zones exceeding the temperature threshold, and the proportion of zones exceeding the dust concentration threshold.

4. The intelligent monitoring and management system for underground ventilation in coal mines based on sensor technology according to claim 2 is characterized by: The specific method of obtaining the gas concentration change rate of each partition in each underground tunnel is: Obtain the gas concentration deviation corresponding to adjacent monitoring time points in each partition in each underground tunnel; The gas concentration deviations corresponding to all adjacent monitoring time points are summed up and then divided by the number of monitoring time point intervals to obtain the gas concentration change rate of each partition in each underground tunnel.

5. The intelligent monitoring and management system for underground ventilation in coal mines based on sensor technology according to claim 1 is characterized by: The specific implementation process of adjusting the damper opening of the partition based on the ventilation equipment data is as follows: The damper adjustment opening of each target partition is obtained by performing a fusion analysis based on the current damper opening of each target partition in the ventilation equipment data and the actual wind speed and set wind speed corresponding to the fan at each monitoring time point; According to the current damper openings of the upstream and downstream partitions corresponding to each target partition in the ventilation equipment data, and based on the air pressure of the target partition and its corresponding upstream and downstream partitions, the damper openings of the upstream and downstream partitions of the target partition are adjusted.

6. The intelligent monitoring and management system for underground ventilation in coal mines based on sensor technology according to claim 5 is characterized by: The specific method of adjusting the damper opening of the upstream partition and the downstream partition of the target partition is: Obtain the air pressure deviation between the target partition and its upstream partition, and multiply it by the required reduction of the damper opening corresponding to the unit air pressure deviation stored in the database to obtain the required reduction of the damper opening corresponding to the upstream partition of the target partition; The pressure deviation between the target partition and its downstream partition is obtained, and it is multiplied by the required increase in the damper opening corresponding to the unit pressure deviation stored in the database to obtain the required increase in the damper opening corresponding to the downstream partition of the target partition.

7. The intelligent monitoring and management system for underground ventilation in coal mines based on sensor technology according to claim 5 is characterized by: The specific implementation process of adjusting the air door opening of each target partition is as follows: Subtract the preset ventilation status assessment score from the ventilation status assessment score of each target partition to obtain the ventilation status assessment score difference of each target partition, and multiply it by the increased damper opening corresponding to the unit ventilation status assessment score difference stored in the database to obtain the increased damper opening corresponding to each target partition; The corresponding increased damper opening of each target partition is added to the current damper opening to obtain the theoretical damper opening of each target partition; Perform fluctuation analysis on the actual wind speed of the fans in each target partition at each monitoring time point to obtain the fan speed fluctuation index of each target partition, and compare it with the corresponding compensation damper opening of each fan speed fluctuation index stored in the database to obtain the corresponding compensation damper opening of each target partition; The theoretical damper opening of each target partition is accumulated with the corresponding compensation damper opening to obtain the adjusted damper opening of each target partition.

8. The intelligent monitoring and management system for underground ventilation in coal mines based on sensor technology according to claim 7 is characterized by: The specific implementation process of obtaining the wind speed fluctuation index of each target partition is as follows: Obtain the deviation between the actual wind speed and the set wind speed corresponding to each monitoring time point of the wind turbine in each target partition, and extract the maximum deviation and the minimum deviation therefrom. At the same time, extract the monitoring time points corresponding to the maximum deviation and the minimum deviation, respectively, so as to obtain the interval duration between the maximum deviation and the minimum deviation; The difference between the maximum deviation and the minimum deviation is compared with the interval time to obtain the wind speed fluctuation rate of the fans in each target zone, and the wind speed fluctuation index of the fans in each target zone is obtained by coupling analysis with the set permitted wind speed fluctuation rate.

9. The intelligent monitoring and management system for underground ventilation in coal mines based on sensor technology according to claim 2 is characterized by: The specific process of determining the ventilation effect of each target partition in each underground tunnel based on the ventilation effect determination rule is as follows: Based on the gas concentration data, temperature and dust concentration after the damper opening is adjusted, the ventilation status evaluation score of each target zone after the damper opening is adjusted is obtained in the same way as the ventilation status evaluation score of each zone in each underground tunnel; Obtain the ventilation status assessment score improvement value of each target partition after the damper opening adjustment is completed, and compare the ventilation status assessment score improvement value with the ventilation status assessment score to obtain the excess ventilation status assessment score ratio; When the proportion of the over-ventilation state assessment score of a target partition is greater than the proportion of the over-ventilation state assessment score of the set reference, the ventilation effect of the target partition is judged to be normal; otherwise, the ventilation effect of the target partition is judged to be abnormal.

10. The intelligent monitoring and management system for underground ventilation in coal mines based on sensor technology according to claim 9, characterized in that: The specific method for adjusting the rotation speed of the standby ventilation equipment is as follows: the target partition whose ventilation effect is judged to be abnormal is recorded as an abnormal partition, the difference between the ventilation status evaluation score of each abnormal partition after the damper opening adjustment is completed and the standard ventilation status evaluation score stored in the database is obtained, and the difference is multiplied by the ventilation equipment rotation speed corresponding to the unit ventilation status evaluation score deviation stored in the database to obtain the rotation speed of the standby ventilation equipment of each abnormal partition.

Images