A coal mine emergency recognition and processing method and system based on intelligent service

Abstract

The present invention provides a coal mine emergency identification and processing method and system based on intelligent services, including: collecting real-time monitoring environment data underground in the coal mine, transmitting the real-time monitoring environment data to a relay node and encrypting it using Zigbee communication technology, and constructing a decryption method for this encryption, transmitting the encrypted real-time monitoring environment data and the decryption method to a ground control center respectively through LPWAN communication technology, comparing the real-time monitoring environment data with historical monitoring environment data in the ground control center, identifying potential emergency situations underground in the coal mine according to the comparison results, deeply identifying the potential emergency situations, estimating the time and location of occurrence of the potential emergency situations, and making corresponding early warnings, which can effectively monitor coal mine environmental parameters, timely discover and warn of emergencies, generate scientific emergency handling plans, and coordinate various departments to efficiently respond to emergencies.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method and system for identifying and processing coal mine emergency situations based on intelligent services. Background Art

[0002] The coal mine production environment is complex and the safety risks are high. In particular, the occurrence of emergencies such as gas leakage, fire and mine collapse may pose a serious threat to the life safety of miners and production equipment. In order to ensure the safety of coal mine production, existing technologies have developed a variety of monitoring and early warning systems, but these systems still have many deficiencies in practical applications and cannot fully meet the needs of coal mine safety management. Traditional coal mine safety systems mainly rely on manual inspections and single sensor monitoring. The data collection method is single, the real-time performance is poor, and the analysis ability is limited, which cannot detect and handle emergencies in time. In addition, the existing early warning mechanisms and emergency response plans are mostly based on manual experience, lack of scientificity and systematicness, resulting in the inability to respond quickly and accurately when an emergency occurs, which seriously affects the safety of coal mine production and the life safety of miners.

[0003] The existing centralized control and monitoring system transmits data from multiple sensors to the ground control center, which performs data analysis and judgment manually, issues warnings, and directs emergency responses. The advantage of this solution is that it can integrate data from multiple sensors to provide more comprehensive environmental monitoring information. However, its disadvantages are also obvious: first, data analysis and emergency response mainly rely on manual judgment, which poses the risk of slow response and misjudgment; second, after a large amount of data is transmitted to the ground, the processing speed and analysis capabilities are limited, making it impossible to achieve real-time monitoring and rapid response; finally, the early warning mechanism is based on a fixed threshold, lacks dynamic adjustment and comprehensive analysis capabilities, and is difficult to flexibly adjust according to complex environmental changes, resulting in inaccurate or delayed warnings.

[0004] Another existing single sensor monitoring system usually uses a single type of sensor (such as a gas sensor or a temperature sensor) installed at a specific location in the coal mine to monitor environmental parameters in real time. Once a parameter is detected to be exceeded, the sensor will trigger an alarm. The main advantages of this solution are low cost and simple installation, but its disadvantages are also very obvious: first, a single sensor can only monitor specific environmental parameters, cannot fully cover all potential risks, and has a limited monitoring range; second, the data collection frequency and transmission speed of a single sensor are limited, and rapid response cannot be achieved; finally, due to the lack of comprehensive data analysis, it is easy to cause false alarms due to fluctuations in a single parameter, affecting the accuracy and reliability of the early warning.

[0005] Therefore, the present invention provides a method and system for identifying and handling coal mine emergency situations based on intelligent services. Summary of the invention

[0006] The present invention provides a coal mine emergency recognition and processing method and system based on intelligent services, which can effectively monitor coal mine environmental parameters, timely discover and warn of emergencies, generate scientific emergency processing plans, and coordinate various departments to efficiently respond to emergencies.

[0007] The present invention provides a method for identifying and handling coal mine emergency situations based on intelligent services, comprising:

[0008] Step 1: Collect real-time monitoring environment data in the coal mine, and use Zigbee communication technology to transmit the real-time monitoring environment data to the relay node and encrypt it;

[0009] Step 2: Based on the encryption method during the transmission process, a decryption method for this encryption is constructed, and the encrypted real-time monitoring environment data and the decryption method are transmitted to the ground control center through LPWAN communication technology;

[0010] Step 3: Comparing the real-time monitoring environment data with the historical monitoring environment data in the ground control center, and identifying potential emergency situations in the coal mine according to the comparison results;

[0011] Step 4: Conduct in-depth identification of the potential emergency situation, estimate the time and location of occurrence of the potential emergency situation, and issue corresponding warnings.

[0012] In one practicable manner,

[0013] Also includes:

[0014] Several sensors and a monitoring device are arranged in the coal mine, including a gas sensor, a temperature sensor, a pressure sensor, a humidity sensor, a smoke sensor and a video monitoring device.

[0015] In one practicable manner,

[0016] The step 1 comprises:

[0017] Step 11: respectively setting a unified collection frequency for each sensor, collecting a number of sensor data in the coal mine, and integrating the sensor data to generate real-time monitoring environment data in the coal mine;

[0018] Step 12: Building a communication channel based on the Zigbee communication technology, and determining a data packet specification threshold for this transmission according to a transmission data packet limit of the communication channel;

[0019] Step 13: Divide the real-time monitoring environment data into a plurality of specified byte data segments, and encrypt each of the specified byte data segments using AES encryption technology to obtain a plurality of encrypted data segments;

[0020] Step 14: Combining the encrypted data segments according to the data packet specification threshold to generate a plurality of transmission data segments, and transmitting each of the transmission data segments to the relay node for display through the communication channel.

[0021] In one practicable manner,

[0022] The step 13 comprises:

[0023] Step 131: determining the number of bytes of encryption for this encryption according to the data packet specification threshold, dividing the real-time monitoring environment data into a plurality of specified byte data segments, and performing byte padding on the target specified byte data segments whose byte number is less than the specified byte number;

[0024] Step 132: Match a key of a corresponding length for this encryption according to the number of bytes of the specification, and use the key to perform byte replacement and circular shift on the bytes in each of the specified byte data segments to obtain an initial encrypted data segment corresponding to each of the specified byte data segments;

[0025] Step 133: Determine the number of rounds of encryption this time according to the key, and encrypt each of the initially encrypted data segments multiple times based on the number of rounds to obtain an encrypted data segment corresponding to each of the specified byte data segments.

[0026] In one practicable manner,

[0027] The step 2 comprises:

[0028] Step 21: Establish an information queue for this encryption according to the encryption method in the transmission process, use the information queue to determine the encryption feature corresponding to each data bit in the real-time monitoring environment data, mirror the encryption feature, and obtain the decryption method for this encryption;

[0029] Step 22: The encrypted real-time monitoring environment data is obtained and regarded as the encrypted data to be transmitted, and a common transmission channel is constructed by using the LPWAN communication technology to transmit the encrypted data to be transmitted to the ground control center for display, and an encrypted transmission channel is constructed by using the LPWAN communication technology to transmit the decryption method to the ground control center for display;

[0030] Step 23: During the transmission process, the corresponding data status of the encrypted data to be transmitted at different transmission times is obtained, the transmission loss parameters of the encrypted data to be transmitted are analyzed according to the data status, and the corresponding received encrypted data is adjusted in the ground control center using the transmission loss parameters.

[0031] In one practicable manner,

[0032] The step 3 comprises:

[0033] Step 31: decrypting the received data in the ground control center to obtain the real-time monitoring environment data, dividing the historical monitoring environment data of the coal mine into normal historical environment data and abnormal historical environment data, and establishing a number of normal working indicators of the coal mine according to the normal historical environment data;

[0034] Step 32: generating a plurality of current working indicators of the coal mine according to the real-time monitoring environment data, using the normal working indicators to determine the normality of each current working indicator, and locating the target current working indicator with abnormal normality;

[0035] Step 33: construct corresponding abnormal level indicators and abnormal presentation information using corresponding abnormal historical environment data, determine the abnormal level corresponding to each of the target current working indicators according to the abnormal level indicators, and determine the abnormal performance of each of the target current working indicators in the coal mine according to the abnormal presentation information;

[0036] Step 34: Determine the abnormal distribution of the coal mine according to the abnormal level and abnormal performance corresponding to each of the target current working indicators, construct potential emergency situations in the coal mine based on the abnormal distribution, and mark them accordingly in the ground control center.

[0037] In one practicable manner,

[0038] Also includes:

[0039] When a potential emergency occurs in the coal mine, the acquisition frequency corresponding to each sensor is increased synchronously to obtain real-time high-frequency monitoring data and transmit it to the ground control center for display.

[0040] In one practicable manner,

[0041] The step 4 comprises:

[0042] Step 41: Acquire all monitoring data stored in the ground control center, use the monitoring data to build a working model of the coal mine underground, and input the potential emergency situation into the working model for deep training to determine several historical occurrence information of the potential emergency situation;

[0043] Step 42: Analyze the occurrence frequency of the potential emergency situation according to the historical occurrence information, determine the current occurrence time period of the potential emergency situation, construct several emergency locations corresponding to the potential emergency situation analyzed by the historical occurrence information, and determine the current occurrence location range of the potential emergency situation;

[0044] Step 43: Determine the minimum duration of this exception processing according to the time period of this occurrence, determine the scope of this exception processing according to the location range of this occurrence, find the processing plan corresponding to the potential emergency situation, and adjust the processing plan using the minimum duration of this exception processing and the scope of this exception processing to obtain the current processing plan;

[0045] Step 44: Determine the processing work corresponding to each processing department according to the current processing plan, and send the processing work to the corresponding department terminal for display and warning.

[0046] In one practicable manner,

[0047] Also includes:

[0048] When the processing department performs processing, the processing video stream of the coal mine is collected, and the feedback data of the sensor is collected;

[0049] The processing progress and results of the potential emergency situation are determined and displayed based on the processed video stream and the feedback data.

[0050] The present invention provides a coal mine emergency recognition and processing system based on intelligent services, comprising:

[0051] A data transmission module is used to collect real-time monitoring environment data in coal mines, and transmit the real-time monitoring environment data to a relay node using Zigbee communication technology and encrypt the data;

[0052] The encryption transmission module is used to construct the decryption method of this encryption based on the encryption method in the transmission process, and transmit the encrypted real-time monitoring environment data and the decryption method to the ground control center through LPWAN communication technology;

[0053] An emergency identification module, used to compare the real-time monitoring environment data with the historical monitoring environment data in the ground control center, and identify potential emergency situations in the coal mine according to the comparison results;

[0054] The emergency warning module is used to deeply identify the potential emergency situation, estimate the time and location of the potential emergency situation, and issue corresponding warnings.

[0055] The achievable beneficial effects of the above technical solution are as follows: in order to solve the defects of the previous technology and improve the efficiency of data processing, the collected real-time monitoring environmental data is encrypted and transmitted to the relay node, which can not only avoid the data leakage of the coal mine, but also avoid the packet loss of data during the transmission process. Then, the encrypted data is transmitted to the ground control center by using LPWAN communication technology for decryption and viewing. The real-time monitoring environmental data and the historical monitoring environmental data are further compared in the ground control center to determine the potential emergency situations in the coal mine. Finally, the potential emergency situations are deeply identified, the time and location of the potential emergency situations are determined, and corresponding early warning processing is performed. In this way, environmental parameters can be monitored in real time, anomalies can be discovered in time and early warning signals can be issued, scientific emergency response plans can be automatically generated, and various departments can be coordinated to respond to emergencies efficiently, thereby significantly improving the safety of coal mine production and the life safety of miners.

[0056] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0057] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0059] Figure 1 A schematic diagram of a workflow of a method for identifying and handling coal mine emergency situations based on intelligent services in an embodiment of the present invention;

[0060] Figure 2 The present invention is a schematic diagram of the composition of a coal mine emergency identification and processing system based on intelligent services in an embodiment of the present invention. DETAILED DESCRIPTION

[0061] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0062] Example 1

[0063] This embodiment provides a method and system for identifying and handling coal mine emergency situations based on intelligent services, such as Figure 1 As shown, including:

[0064] Step 1: Collect real-time monitoring environment data in the coal mine, and use Zigbee communication technology to transmit the real-time monitoring environment data to the relay node and encrypt it;

[0065] Step 2: Based on the encryption method during the transmission process, a decryption method for this encryption is constructed, and the encrypted real-time monitoring environment data and the decryption method are transmitted to the ground control center through LPWAN communication technology;

[0066] Step 3: Comparing the real-time monitoring environment data with the historical monitoring environment data in the ground control center, and identifying potential emergency situations in the coal mine according to the comparison results;

[0067] Step 4: Conduct in-depth identification of the potential emergency situation, estimate the time and location of occurrence of the potential emergency situation, and issue corresponding warnings.

[0068] In this example, the Zigbee communication technology represents a short-distance and low-rate wireless communication technology;

[0069] In this example, the real-time monitoring environment data represents data generated underground in a coal mine;

[0070] In this example, LPWAN communication technology refers to a wireless communication technology for long-distance communication;

[0071] In this example, a potential emergency situation refers to an emergency situation that has not yet occurred but has a high probability of occurring;

[0072] In this example, the warning signal notifies relevant personnel through a variety of methods, including SMS, WeChat, voice calls, emails, and APP push;

[0073] Warning level: Depending on the severity of the emergency, the system issues different levels of warning signals (such as yellow warning and red warning);

[0074] Notification method: timely notify mine management personnel, ground control center and emergency commanders through multiple channels;

[0075] Mine management personnel (SMS, WeChat, APP push)

[0076] Ground control center (sound and light alarm)

[0077] Emergency Command Personnel (Voice Phone).

[0078] The working principle and beneficial effects of the above technical solution: In order to solve the defects of previous technologies and improve the efficiency of data processing, the collected real-time monitoring environmental data is encrypted and transmitted to the relay node, which can not only avoid data leakage in the coal mine, but also avoid data loss during transmission. Then, the encrypted data is transmitted to the ground control center using LPWAN communication technology for decryption and viewing. The real-time monitoring environmental data and the historical monitoring environmental data are further compared in the ground control center to determine the potential emergency situations in the coal mine. Finally, the potential emergency situations are deeply identified, the time and location of occurrence of the potential emergency situations are determined, and corresponding early warning processing is performed. In this way, environmental parameters can be monitored in real time, anomalies can be discovered in time and early warning signals can be issued, scientific emergency response plans can be automatically generated, and various departments can be coordinated to respond to emergencies efficiently, thereby significantly improving the safety of coal mine production and the lives of miners.

[0079] Example 2

[0080] Based on Example 1, the method for identifying and handling coal mine emergency situations based on intelligent services further includes:

[0081] Several sensors and a monitoring device are arranged in the coal mine, including a gas sensor, a temperature sensor, a pressure sensor, a humidity sensor, a smoke sensor and a video monitoring device.

[0082] In this example, a variety of sensors are deployed at key locations in the mine (such as main passages, working faces, ventilation openings, and the bottom of the mine), including gas sensors, temperature sensors, pressure sensors, humidity sensors, smoke sensors, water level sensors, and video monitoring equipment. These sensors and monitoring equipment are connected to the relay nodes through wireless communication modules.

[0083] The working principle and beneficial effects of the above technical solution: multiple sensors are set up to collect downhole data in real time.

[0084] Example 3

[0085] On the basis of Example 1, the method for identifying and handling coal mine emergency situations based on intelligent services, step 1, comprises:

[0086] Step 11: respectively setting a unified collection frequency for each sensor, collecting a number of sensor data in the coal mine, and integrating the sensor data to generate real-time monitoring environment data in the coal mine;

[0087] Step 12: Building a communication channel based on the Zigbee communication technology, and determining a data packet specification threshold for this transmission according to a transmission data packet limit of the communication channel;

[0088] Step 13: Divide the real-time monitoring environment data into a plurality of specified byte data segments, and encrypt each of the specified byte data segments using AES encryption technology to obtain a plurality of encrypted data segments;

[0089] Step 14: Combining the encrypted data segments according to the data packet specification threshold to generate a plurality of transmission data segments, and transmitting each of the transmission data segments to the relay node for display through the communication channel.

[0090] In this example, the sampling frequency is once per second;

[0091] In this example, the communication channel refers to a channel used for data transmission;

[0092] In this example, the data packet specification threshold is: 127 bytes, which is related to the transmission data packet size of the Zigbee communication technology (the data packet size of Zigbee is usually small, at most 127 bytes);

[0093] In this example, the byte data segment is specified as: a data segment with a length of 16 bytes. The length of the byte data segment is related to the basic characteristics of the AES encryption technology (AES supports three key lengths: 16 bytes, 24 bytes, and 32 bytes);

[0094] In this example, the transmission data segment represents a data packet composed of several encrypted data segments, and the total length of the data segment does not exceed the data packet specification threshold.

[0095] The working principle and beneficial effects of the above technical solution: In order to further ensure the security and integrity of data, before data transmission, a communication channel is first established using Zigbee communication technology, and the data packet specification threshold for this transmission is determined according to the nature of the communication channel, so that the divided specified byte data segments are encrypted and combined to obtain the corresponding transmission data segments. Finally, the communication channel is used to transmit the transmission data segments to the relay node. Since the data is encrypted and split before transmission, the integrity and validity of the data are guaranteed, and data loss is effectively avoided.

[0096] Example 4

[0097] On the basis of Example 3, the method for identifying and handling coal mine emergency situations based on intelligent services, step 13, comprises:

[0098] Step 131: determining the number of bytes of encryption for this encryption according to the data packet specification threshold, dividing the real-time monitoring environment data into a plurality of specified byte data segments, and performing byte padding on the target specified byte data segments whose byte number is less than the specified byte number;

[0099] Step 132: Match a key of a corresponding length for this encryption according to the number of bytes of the specification, and use the key to perform byte replacement and circular shift on the bytes in each of the specified byte data segments to obtain an initial encrypted data segment corresponding to each of the specified byte data segments;

[0100] Step 133: Determine the number of rounds of encryption this time according to the key, and encrypt each of the initially encrypted data segments multiple times based on the number of rounds to obtain an encrypted data segment corresponding to each of the specified byte data segments.

[0101] In this example, the purpose of byte padding is to avoid loss of target specified byte data segment due to being too short;

[0102] In this example, since the AES encryption method uses 16-byte encryption, the corresponding key length is 128 keys, and the corresponding number of rounds is 10 (24 bytes correspond to 192-bit keys, 12 rounds, 32 bytes correspond to 256-bit keys, 14 rounds);

[0103] In this example, the initially encrypted data segment refers to a data segment that has completed the first round of encryption.

[0104] The working principle and beneficial effects of the above technical solution: In order to further ensure the effectiveness of data encryption and avoid over-encryption or insufficient encryption, the specification byte number (16 bytes) of this encryption is first determined according to the data packet specification threshold, and then the real-time monitoring environment data is divided into byte data segments, and byte padding is performed for shorter target specified byte data segments to avoid loss of the data segment, and then the key of the corresponding length is matched for this encryption work to perform preliminary encryption work, and then repeated encryption is performed according to the set number of rounds to obtain the encrypted data segment, which effectively improves the quality of encryption and avoids data leakage in coal mines affecting the normal operation of coal mines.

[0105] Example 5

[0106] On the basis of Example 1, the method for identifying and handling coal mine emergency situations based on intelligent services, step 2, comprises:

[0107] Step 21: Establish an information queue for this encryption according to the encryption method in the transmission process, use the information queue to determine the encryption feature corresponding to each data bit in the real-time monitoring environment data, mirror the encryption feature, and obtain the decryption method for this encryption;

[0108] Step 22: The encrypted real-time monitoring environment data is obtained and regarded as the encrypted data to be transmitted, and a common transmission channel is constructed by using the LPWAN communication technology to transmit the encrypted data to be transmitted to the ground control center for display, and an encrypted transmission channel is constructed by using the LPWAN communication technology to transmit the decryption method to the ground control center for display;

[0109] Step 23: During the transmission process, the corresponding data status of the encrypted data to be transmitted at different transmission times is obtained, the transmission loss parameters of the encrypted data to be transmitted are analyzed according to the data status, and the corresponding received encrypted data is adjusted in the ground control center using the transmission loss parameters.

[0110] In this example, the information queue represents the result of sorting the information generated during the encryption process in chronological order;

[0111] In this example, the encryption feature represents the distinguishing feature presented by each data bit before and after encryption;

[0112] In this example, the encrypted data to be transmitted refers to data that has been encrypted but has not yet been transmitted to the ground control center;

[0113] In this example, the common transmission channel refers to a channel used to transmit data to be encrypted, and the encrypted transmission channel refers to a channel used to transmit a decryption method;

[0114] In this example, the data state represents the state of the encryption method to be transmitted during the transmission process;

[0115] In this example, the transmission loss parameter refers to a parameter generated when data loss occurs during transmission;

[0116] In this example, receiving encrypted data means transmitting the encrypted data to be transmitted to the ground control center for decryption to obtain data.

[0117] The working principle and beneficial effects of the above technical solution are as follows: during the transmission process, an encrypted information queue is constructed to determine the encryption characteristics of each data bit in the monitoring environment data, and the decryption method of this encryption is determined through mirror processing. Then, the encrypted data to be transmitted and the decryption method are transmitted to the ground control center respectively, and the loss during data transmission is further analyzed. The data in the ground control center is adjusted to ensure the integrity of the data and provide strong data support for ground personnel.

[0118] Example 6

[0119] On the basis of Example 1, the method for identifying and handling coal mine emergency situations based on intelligent services, step 3, comprises:

[0120] Step 31: decrypting the received data in the ground control center to obtain the real-time monitoring environment data, dividing the historical monitoring environment data of the coal mine into normal historical environment data and abnormal historical environment data, and establishing a number of normal working indicators of the coal mine according to the normal historical environment data;

[0121] Step 32: generating a plurality of current working indicators of the coal mine according to the real-time monitoring environment data, using the normal working indicators to determine the normality of each current working indicator, and locating the target current working indicator with abnormal normality;

[0122] Step 33: construct corresponding abnormal level indicators and abnormal presentation information using corresponding abnormal historical environment data, determine the abnormal level corresponding to each of the target current working indicators according to the abnormal level indicators, and determine the abnormal performance of each of the target current working indicators in the coal mine according to the abnormal presentation information;

[0123] Step 34: Determine the abnormal distribution of the coal mine according to the abnormal level and abnormal performance corresponding to each of the target current working indicators, construct potential emergency situations in the coal mine based on the abnormal distribution, and mark them accordingly in the ground control center.

[0124] In this example, the ground control center is equipped with a big data analysis platform to perform real-time analysis on the transmitted data. The data analysis module includes a data storage module, a data processing module, and an analysis algorithm module.

[0125] Abnormal detection: The system detected an abnormal increase in gas concentration, abnormal fluctuations in temperature and pressure, and abnormal humidity and smoke sensor data. At the same time, the water level sensor detected a rapid rise in the water level in the mine.

[0126] Pattern recognition: Analyze the changing patterns of multiple sensor data and make preliminary judgments that they may be emergencies and mine water disasters caused by gas leaks.

[0127] Predictive analysis: Based on the changing trends of environmental parameters, predict possible gas explosion risk areas and water disaster impact areas and times.

[0128] The working principle and beneficial effects of the above technical solution: In order to improve the efficiency of abnormality identification, historical monitoring environment data is used in the ground control center to conduct preliminary abnormality analysis on the real-time monitoring environment data, and its abnormal working indicators are determined. Then, the abnormal historical environment data is used to analyze the abnormal level and abnormal presentation information of the current working indicators, thereby determining the abnormal performance underground in the coal mine. Based on the abnormal performance, the change patterns of multiple sensor data are analyzed, and a preliminary judgment is made that it may be an emergency situation and mine water disaster caused by gas leakage, and corresponding annotations are made in the ground control center to facilitate management personnel to make timely decisions based on the annotations.

[0129] Example 7

[0130] On the basis of Example 3, the method for identifying and handling coal mine emergency situations based on intelligent services further includes:

[0131] When a potential emergency occurs in the coal mine, the acquisition frequency corresponding to each sensor is increased synchronously to obtain real-time high-frequency monitoring data and transmit it to the ground control center for display.

[0132] The working principle and beneficial effects of the above technical solution are: when an abnormality is detected, the collection frequency is automatically increased (eg, once every 0.1 seconds) to obtain more detailed data.

[0133] Example 8

[0134] On the basis of Example 1, the method for identifying and handling coal mine emergency situations based on intelligent services, step 4, comprises:

[0135] Step 41: Acquire all monitoring data stored in the ground control center, use the monitoring data to build a working model of the coal mine underground, and input the potential emergency situation into the working model for deep training to determine several historical occurrence information of the potential emergency situation;

[0136] Step 42: Analyze the occurrence frequency of the potential emergency situation according to the historical occurrence information, determine the current occurrence time period of the potential emergency situation, construct several emergency locations corresponding to the potential emergency situation analyzed by the historical occurrence information, and determine the current occurrence location range of the potential emergency situation;

[0137] Step 43: Determine the minimum duration of this exception processing according to the time period of this occurrence, determine the scope of this exception processing according to the location range of this occurrence, find the processing plan corresponding to the potential emergency situation, and adjust the processing plan using the minimum duration of this exception processing and the scope of this exception processing to obtain the current processing plan;

[0138] Step 44: Determine the processing work corresponding to each processing department according to the current processing plan, and send the processing work to the corresponding department terminal for display and warning.

[0139] In this example, the historical occurrence information indicates that the potential emergency situation occurred during the historical time period.

[0140] In this example, an emergency treatment plan was developed, and various departments were coordinated to respond to the emergency through an intelligent dispatch system.

[0141] Emergency plan generation: The system automatically generates emergency response plans based on early warning signals, including evacuation routes, rescue personnel arrangements and emergency equipment calls.

[0142] Intelligent dispatch: The intelligent dispatch system coordinates rescue teams, command centers and communication support systems to ensure efficient emergency response.

[0143] On-site feedback: Real-time feedback of on-site conditions through video surveillance and sensor data to ensure the accuracy of command and dispatch.

[0144] The working principle and beneficial effects of the above technical solution: In order to conduct in-depth data analysis, all monitoring data processes in the ground control center are processed, a working model of the coal mine underground is built, and then potential emergencies are deeply trained in the model to determine the historical occurrence information of the potential emergency, and further determine the time period and location range of the current occurrence of the potential emergency. Then, the corresponding potential emergency treatment plan is adjusted, the current treatment plan is determined, and an early warning is issued. This improves the data analysis capability, can accurately identify potential risks, and avoid false alarms and missed reports.

[0145] Example 9

[0146] On the basis of Example 8, the method for identifying and handling coal mine emergency situations based on intelligent services further includes:

[0147] When the processing department performs processing, the processing video stream of the coal mine is collected, and the feedback data of the sensor is collected;

[0148] The processing progress and results of the potential emergency situation are determined and displayed based on the processed video stream and the feedback data.

[0149] The working principle and beneficial effects of the above technical solution are: real-time feedback of on-site conditions through video monitoring and sensor data to ensure the accuracy of command and dispatch.

[0150] Example 10

[0151] This embodiment provides a coal mine emergency recognition and processing system based on intelligent services, such as Figure 2 As shown, including:

[0152] A data transmission module is used to collect real-time monitoring environment data in coal mines, and transmit the real-time monitoring environment data to a relay node using Zigbee communication technology and encrypt the data;

[0153] The encryption transmission module is used to construct the decryption method of this encryption based on the encryption method in the transmission process, and transmit the encrypted real-time monitoring environment data and the decryption method to the ground control center through LPWAN communication technology;

[0154] An emergency identification module, used to compare the real-time monitoring environment data with the historical monitoring environment data in the ground control center, and identify potential emergency situations in the coal mine according to the comparison results;

[0155] The emergency warning module is used to deeply identify the potential emergency situation, estimate the time and location of the potential emergency situation, and issue corresponding warnings.

[0156] In this example, the Zigbee communication technology represents a short-distance and low-rate wireless communication technology;

[0157] In this example, the real-time monitoring environment data represents data generated underground in a coal mine;

[0158] In this example, LPWAN communication technology refers to a wireless communication technology for long-distance communication;

[0159] In this example, a potential emergency situation refers to an emergency situation that has not yet occurred but has a high probability of occurring;

[0160] In this example, the warning signal notifies relevant personnel through a variety of methods, including SMS, WeChat, voice calls, emails, and APP push;

[0161] Warning level: Depending on the severity of the emergency, the system issues different levels of warning signals (such as yellow warning and red warning);

[0162] Notification method: timely notify mine management personnel, ground control center and emergency commanders through multiple channels;

[0163] Mine management personnel (SMS, WeChat, APP push)

[0164] Ground control center (sound and light alarm)

[0165] Emergency Command Personnel (Voice Phone).

[0166] The working principle and beneficial effects of the above technical solution: In order to solve the defects of previous technologies and improve the efficiency of data processing, the collected real-time monitoring environmental data is encrypted and transmitted to the relay node, which can not only avoid data leakage in the coal mine, but also avoid data loss during transmission. Then, the encrypted data is transmitted to the ground control center using LPWAN communication technology for decryption and viewing. The real-time monitoring environmental data and the historical monitoring environmental data are further compared in the ground control center to determine the potential emergency situations in the coal mine. Finally, the potential emergency situations are deeply identified, the time and location of occurrence of the potential emergency situations are determined, and corresponding early warning processing is performed. In this way, environmental parameters can be monitored in real time, anomalies can be discovered in time and early warning signals can be issued, scientific emergency response plans can be automatically generated, and various departments can be coordinated to respond to emergencies efficiently, thereby significantly improving the safety of coal mine production and the lives of miners.

[0167] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for identifying and handling coal mine emergencies based on intelligent services, characterized in that: include: Step 1: Collect real-time monitoring environment data in the coal mine, and use Zigbee communication technology to transmit the real-time monitoring environment data to the relay node and encrypt it; Step 2: Based on the encryption method during the transmission process, a decryption method for this encryption is constructed, and the encrypted real-time monitoring environment data and the decryption method are transmitted to the ground control center through LPWAN communication technology; Step 3: Comparing the real-time monitoring environment data with the historical monitoring environment data in the ground control center, and identifying potential emergency situations in the coal mine according to the comparison results; Step 4: deeply identify the potential emergency situation, estimate the time and location of the potential emergency situation, and issue a corresponding warning; The step 2 comprises: Step 21: Establish an information queue for this encryption according to the encryption method in the transmission process, use the information queue to determine the encryption feature corresponding to each data bit in the real-time monitoring environment data, mirror the encryption feature, and obtain the decryption method for this encryption; Step 22: The encrypted real-time monitoring environment data is obtained and regarded as the encrypted data to be transmitted, and a common transmission channel is constructed by using the LPWAN communication technology to transmit the encrypted data to be transmitted to the ground control center for display, and an encrypted transmission channel is constructed by using the LPWAN communication technology to transmit the decryption method to the ground control center for display; Step 23: During the transmission process, the corresponding data status of the encrypted data to be transmitted at different transmission times is obtained, the transmission loss parameters of the encrypted data to be transmitted are analyzed according to the data status, and the corresponding received encrypted data is adjusted in the ground control center using the transmission loss parameters.

2. A method for identifying and handling coal mine emergencies based on intelligent services as claimed in claim 1, characterized in that: Also includes: Several sensors and a monitoring device are arranged in the coal mine, including a gas sensor, a temperature sensor, a pressure sensor, a humidity sensor, a smoke sensor and a video monitoring device.

3. A method for identifying and handling coal mine emergencies based on intelligent services as claimed in claim 1, characterized in that: The step 1 comprises: Step 11: respectively setting a unified collection frequency for each sensor, collecting a number of sensor data in the coal mine, and integrating the sensor data to generate real-time monitoring environment data in the coal mine; Step 12: Building a communication channel based on the Zigbee communication technology, and determining a data packet specification threshold for this transmission according to a transmission data packet limit of the communication channel; Step 13: Divide the real-time monitoring environment data into a plurality of specified byte data segments, and encrypt each of the specified byte data segments using AES encryption technology to obtain a plurality of encrypted data segments; Step 14: Combining the encrypted data segments according to the data packet specification threshold to generate a plurality of transmission data segments, and transmitting each of the transmission data segments to the relay node for display through the communication channel.

4. A method for identifying and handling coal mine emergencies based on intelligent services as claimed in claim 3, characterized in that: The step 13 comprises: Step 131: determining the number of bytes of encryption for this encryption according to the data packet specification threshold, dividing the real-time monitoring environment data into a plurality of specified byte data segments, and performing byte padding on the target specified byte data segments whose byte number is less than the specified byte number; Step 132: Match a key of a corresponding length for this encryption according to the number of bytes of the specification, and use the key to perform byte replacement and circular shift on the bytes in each of the specified byte data segments to obtain an initial encrypted data segment corresponding to each of the specified byte data segments; Step 133: Determine the number of rounds of encryption this time according to the key, and encrypt each of the initially encrypted data segments multiple times based on the number of rounds to obtain an encrypted data segment corresponding to each of the specified byte data segments.

5. A method for identifying and handling coal mine emergencies based on intelligent services as claimed in claim 1, characterized in that: The step 3 comprises: Step 31: decrypting the received data in the ground control center to obtain the real-time monitoring environment data, dividing the historical monitoring environment data of the coal mine into normal historical environment data and abnormal historical environment data, and establishing a number of normal working indicators of the coal mine according to the normal historical environment data; Step 32: generating a plurality of current working indicators of the coal mine according to the real-time monitoring environment data, using the normal working indicators to determine the normality of each current working indicator, and locating the target current working indicator with abnormal normality; Step 33: construct corresponding abnormal level indicators and abnormal presentation information using corresponding abnormal historical environment data, determine the abnormal level corresponding to each of the target current working indicators according to the abnormal level indicators, and determine the abnormal performance of each of the target current working indicators in the coal mine according to the abnormal presentation information; Step 34: Determine the abnormal distribution of the coal mine according to the abnormal level and abnormal performance corresponding to each of the target current working indicators, construct potential emergency situations in the coal mine based on the abnormal distribution, and mark them accordingly in the ground control center.

6. A method for identifying and handling coal mine emergencies based on intelligent services as claimed in claim 3, characterized in that: Also includes: When a potential emergency occurs in the coal mine, the acquisition frequency corresponding to each sensor is increased synchronously to obtain real-time high-frequency monitoring data and transmit it to the ground control center for display.

7. A method for identifying and handling coal mine emergencies based on intelligent services as claimed in claim 1, characterized in that: The step 4 comprises: Step 41: Acquire all monitoring data stored in the ground control center, use the monitoring data to build a working model of the coal mine underground, and input the potential emergency situation into the working model for deep training to determine several historical occurrence information of the potential emergency situation; Step 42: Analyze the occurrence frequency of the potential emergency situation according to the historical occurrence information, determine the current occurrence time period of the potential emergency situation, construct several emergency locations corresponding to the potential emergency situation analyzed by the historical occurrence information, and determine the current occurrence location range of the potential emergency situation; Step 43: Determine the minimum duration of this exception processing according to the time period of this occurrence, determine the scope of this exception processing according to the location range of this occurrence, find the processing plan corresponding to the potential emergency situation, and adjust the processing plan using the minimum duration of this exception processing and the scope of this exception processing to obtain the current processing plan; Step 44: Determine the processing work corresponding to each processing department according to the current processing plan, and send the processing work to the corresponding department terminal for display and warning.

8. A method for identifying and handling coal mine emergencies based on intelligent services as claimed in claim 7, characterized in that: Also includes: When the processing department performs processing, the processing video stream of the coal mine is collected, and the feedback data of the sensor is collected; The processing progress and results of the potential emergency situation are determined and displayed based on the processed video stream and the feedback data.

9. A coal mine emergency recognition and processing system based on intelligent services, characterized in that: include: A data transmission module is used to collect real-time monitoring environment data in coal mines, and transmit the real-time monitoring environment data to a relay node using Zigbee communication technology and encrypt the data; The encryption transmission module is used to construct the decryption method of this encryption based on the encryption method in the transmission process, and transmit the encrypted real-time monitoring environment data and the decryption method to the ground control center through LPWAN communication technology; An emergency identification module, used to compare the real-time monitoring environment data with the historical monitoring environment data in the ground control center, and identify potential emergency situations in the coal mine according to the comparison results; An emergency warning module is used to deeply identify the potential emergency situation, estimate the time and location of the potential emergency situation, and issue a corresponding warning; The encrypted transmission module constructs a decryption method for this encryption based on the encryption method in the transmission process, and transmits the encrypted real-time monitoring environment data and the decryption method to the ground control center through the LPWAN communication technology, including: Establishing an information queue for this encryption according to the encryption method in the transmission process, using the information queue to determine the encryption feature corresponding to each data bit in the real-time monitoring environment data, mirroring the encryption feature to obtain the decryption method for this encryption; The encrypted real-time monitoring environment data is obtained as encrypted data to be transmitted, a common transmission channel is constructed by using the LPWAN communication technology to transmit the encrypted data to be transmitted to the ground control center for display, and an encrypted transmission channel is constructed by using the LPWAN communication technology to transmit the decrypted data to the ground control center for display; During the transmission process, the corresponding data status of the encrypted data to be transmitted at different transmission times is obtained, the transmission loss parameters of the encrypted data to be transmitted are analyzed according to the data status, and the corresponding received encrypted data is adjusted in the ground control center using the transmission loss parameters.

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